Deploy 24/7 quant agents for market making, liquidity providing, and Osprey-based token trading on Solana spot markets.
Not sure where to begin? , then use the when you want to watch the setup.
HawkFi is an Agent Terminal. Deploy 24/7 agents configured for different assets and market regimes on Solana spot markets. Put HODL to the test with Market Making (MM), Liquidity Providing (LP), or Osprey-based token trading.
The HawkFi Thesis
Every retail investor is moving toward their own quant agent: AI-native, data-driven, always-on, and built for fully or semi-automated execution. HawkFi is building the terminal where those agents are created, tested, deployed, and improved.
HawkFi started on Solana spot markets with agentic liquidity provision because crypto is the fastest form factor for tokenized markets. From there, the same agent stack expands into permissionless market making, systematic spot trading, perpetuals, and eventually the most traded assets globally: crypto, commodities, public equities, and private markets as they become tokenized.
The goal is a factory of specialized agents that can run market-specific models at machine speed, around the clock, across asset classes and regimes. Each agent is a step toward generalized agent intelligence for trading any asset, in any regime, anywhere.
HawkFi backtests, models, and agents help users compare strategies against HODL and passive benchmarks. They do not guarantee future returns or remove market risk.
What can you run?
Workflow
Use it when you want to
What HawkFi runs
HawkFi's first production edge is agentic liquidity on Solana: LP automation, market making, and benchmark-driven model selection on tokenized spot markets.
The next layer is a broader agent platform for retail investors who want systematic execution without building quant infrastructure themselves. Users choose an asset, market regime, and strategy path. HawkFi supplies the models, simulation tools, agent workflows, and execution surfaces.
Layer
What it means
HawkFi documentation is organized from terminal overview to execution:
Layer
Purpose
What lives there
Choose among Market Making Agent, Screener Agent, and Osprey Trading Agent based on the job you want HawkFi to run.
Fund the selected Agent workflow after choosing an Agent type and before activation.
Start here if you want to deploy 24/7 agents for market making, screened LP entries, or Osprey-based token trades.
Use Laboratory to backtest Market Making Agent configurations, LP models, and custom setups before deploying real capital.
Use Models when you want a starting point for Liquidity Providing strategies across different market environments.
Use Build Your Own Strategy when you want to combine HawkFi automations manually instead of starting from a model.
HawkFi Agents
Deploy 24/7 quant agents for market making, screened liquidity providing, and Osprey-based token trading.
What are HawkFi Agents?
HawkFi Agents are 24/7 quant agents built to run market making, screened liquidity providing, Osprey-based token trading, execution models, and liquidity automations. They are the deployable layer of the HawkFi Agent Terminal.
Use Agents when you want a machine-speed system that can keep operating around a configured market view instead of managing every quote, screen, entry, and automation manually.
Why HawkFi Agents
The next wave of retail investors will be AI-native, data-driven, and always-on. HawkFi Agents are built for that user: someone who wants specialized agents for specific assets, venues, and market regimes.
Market Making Agent focuses on MM through Dynamic Limit Order quoting. Screener Agent uses Osprey to screen opportunities and route qualified entries into HawkFi Models. Osprey Trading Agent uses eligible Osprey signals to enter and manage direct token trades. Each specialized Agent expands the factory toward broader agent intelligence across spot, perps, and tokenized markets.
How it fits with HawkFi Agents
Each HawkFi Agent handles a different part of the trading workflow:
Agent type
What it does
HawkFi Agents currently has three agent types:
Agent type
Current app label
Purpose
What it does
HawkFi Agents documentation is organized from product overview to agent type:
Layer
Purpose
What lives there
Choose among Market Making Agent, Screener Agent, and Osprey Trading Agent based on the job you want HawkFi to run.
Fund the selected Agent workflow before creating or activating a live Agent.
Market Making Agent is the next page after this overview. It explains HawkFi's agent for managing buy and sell quotes around price.
Screener Agent uses Osprey V2 for the 24/7 screening flow that can be selected from the New Agent page.
Osprey Trading Agent uses eligible Osprey signals for direct token trades with configured entry, allocation, filter, and exit controls.
HawkFi Laboratory is the experimenting and benchmarking tool for strategies, HawkFi models, and HawkFi agent configurations.
Check Agent balances, live behavior, open positions, and the settings that may need attention after launch.
Choose Your HawkFi Agent
Choose among Market Making Agent, Screener Agent, and Osprey Trading Agent based on the job you want HawkFi to run.
HawkFi Agents has three agent types: Market Making Agent, Screener Agent, and Osprey Trading Agent.
Use this page to choose the live workflow before you fund or configure an agent.
Before funding a Market Making Agent, check its .
What you will accomplish
By the end of this guide, you should know which HawkFi Agent matches the job you want to automate and where to continue.
If you want HawkFi to
Choose
Why
1
Choose Market Making Agent when you already have a pool in mind and want live maker quotes around its price.
Choose Screener Agent when you want Osprey to screen for qualified opportunities before HawkFi enters an LP position.
Choose Osprey Trading Agent when you want eligible Osprey signals to become direct token trades within configured capital, filter, and exit limits.
2
Market Making Agent works best for sideways, range bound, consolidating, or neutral price action where live bid and ask quotes can operate around price.
You should be able to answer three questions before continuing:
Do you want HawkFi to manage quotes, open screened LP positions, or manage direct token trades?
Which market behavior makes that workflow appropriate?
Will you test the setup in Laboratory before using live capital?
Fund Your Agent Wallet
Fund the selected HawkFi Agent workflow before activation.
Funding depends on the Agent type. Market Making Agent and Screener Agent use the shared Agent funding flow. Osprey Trading Agent receives its configured trading allocation in an isolated WSOL account when the agent is created.
Choose the Agent type before funding so the capital follows the correct workflow.
Connecting your wallet lets you sign transactions and control your Agents. HawkFi cannot control your wallet because HawkFi Agents are designed to be self-custodial.
Before you begin
Check
Why it matters
Choose an Agent type
1
, then connect the wallet that will authorize your Agent actions.
2
For Market Making Agent or Screener Agent, find Agents Fund in the HawkFi Agents interface.
For Osprey Trading Agent, open New Agent, select Osprey Trading Agent
The relevant balance should show the funded amount: Agents Fund for Market Making Agent or Screener Agent, or the Osprey Trading Agent portfolio balance after creation. Confirm that the amount matches the Agent settings you plan to use.
Monitor and Manage Your Agent
Check Agent balances, live behavior, open positions, and the settings that may need attention after launch.
Use the HawkFi Agents page to check how much capital is deployed, what the Agent is doing, and whether its current behavior still fits the setup you intended.
What to monitor
Agent type
Start with
What to check
Market Making Agent
Agent Portfolio, the Agents table, and the Dynamic Limit Order dashboard
Open a PNL Card from a supported Agent row by clicking PROFIT, or select PNL Card in Market Making Agent Analytics. Switch between USD and SOL, hide or show stats, then download or copy the image.
Agent Portfolio includes Market Making Agent vault funds in Deployed. This includes idle inventory and value currently locked in open orders.
Market Making Agent rows in the Agents table show total vault value and a per-token breakdown in the BALANCE column.
For a newly funded Market Making Agent, PROFIT and HODL show - until the first scored fill. This avoids treating funded but not-yet-quoted capital as a loss.
Funded Market Making Agent rows show a performance status under the agent name. The status follows the selected USD or SOL display and compares the agent with HODL in that currency.
Status
What it means
Screener Agents do not show this indicator. A Market Making Agent also shows no indicator when comparison data is not available yet. Agent Health summarizes relative performance; it does not guarantee future results or report infrastructure health.
On the Dynamic Limit Order dashboard, bid and ask visuals use the same colors across the chart and bin display:
Visual
Meaning
Use Market Making Agent Analytics and HawkFi Laboratory to decide whether the execution model still fits the pool.
What you see
What it can mean
Screener Agent rows leave the Agents table BALANCE cell blank. Positions opened by Screener Agents appear in the shared Open Positions table.
UNCLAIMED FEES applies to Screener Agent LP positions. It does not apply to Osprey Trading Agent token trades or Market Making Agent open orders.
UNREALIZED PNL can appear for Screener Agent LP positions and Osprey Trading Agent open trades. In each case, it describes that LP position or token trade. It does not describe Market Making Agent open orders.
If Osprey V2 High Volume 5M (Selective) has not opened a position, that does not automatically mean the Agent is broken. The model is selective by design and waits for higher confidence entries instead of forcing constant positions.
Osprey Trading Agent rows show a portfolio balance based on the agent's WSOL and current token accounts. Use the positions shortcut on the Agent row to scope the shared position tables to that agent.
Open trades show the token, age and Agent name, current token balance, original entry price, UNREALIZED PNL, and an entry transaction link. Select EXIT to review a full-position swap back to the agent's WSOL account.
Closed trades show the trade age, Agent name, REALIZED PNL, closure time, and ENTRY and EXIT transaction links.
1
Separate a funding issue, a market-fit issue, and a configuration issue before changing settings.
2
For Market Making Agent, review and .
For Screener Agent, review the .
For Osprey Trading Agent, review its .
3
Osprey Trading Agent
24/7 autonomous trenching
Catching a token opportunity is only half the job. You still need to size the entry, manage the trade, watch the risk, and exit on time.
If you have traded from Axiom, GMGN, or Photon, you know how quickly a token screener becomes a firehose. New pairs, migrations, memes, and short-lived activity compete for attention every second.
Most screener feeds can feel like 99% noise. The hard part is finding the small amount of signal worth acting on.
Status quo: new pairs, migrations, and short-lived activity compete for attention in a dense screener feed.
Osprey is built for the signal side of that workflow. It screens continuously, applies the selected model and your personalized rules, then sends eligible opportunities into the Agent's trading checks.
Osprey Trading Agent is built for direct token trading. It can turn an eligible Osprey signal into a token trade using the entry size, total allocation, filters, re-entry behavior, and exit rules you customize in advance.
Osprey Trading Agent is for token trading. It does not open LP positions like Screener Agent or manage live bid and ask quotes like Market Making Agent.
What is the Osprey Trading Agent?
Osprey Trading Agent is a HawkFi Agent for users who want Osprey to watch for opportunities 24/7 and trade selected tokens within personalized boundaries.
When a signal matches the selected Osprey model and filters, the agent can buy the selected token using its trading balance.
The configured take profit, stop loss, or maximum hold can sell the full position back to the agent's trading balance. You can also request a manual exit or close the agent.
The basic journey is straightforward:
Step
What to do
The full walkthrough below shows the same journey with the exact controls and screenshots.
Use Osprey Trading Agent when you want a repeatable token-trading workflow without manually watching every signal and rebuilding the entry and exit plan each time.
Benefit
What it means
Osprey gives you two ways to manage a trade: Autopilot and Copilot. Both automate eligible entries. The difference is how you manage the full-position exit.
Approach
How it works
Example setup
Your settings define what can qualify, how much capital the Agent can deploy, and how a full-position exit is handled.
Building block
What it controls
Osprey can find eligible opportunities, enter trades automatically, follow your take-profit and stop-loss settings, and show your open and closed trades in one place. You can also manually exit any open trade.
We're planning more ways to help you follow, manage, and share your Osprey trades. These features are not live yet:
Telegram notifications when Osprey opens a trade
Entry market cap compared with all-time-high market cap, so you can see how far a token has moved and decide whether to hold or exit
Shareable PNL cards for Osprey Trading Agent trades
Use this simplified walkthrough to create an Osprey Trading Agent.
1
, connect the wallet that will own the agent, and complete HawkFi account setup if prompted.
2
Select Osprey Trading Agent from the three Agent options. The setup uses two sections: Entry Settings and Exit Settings.
3
Join our Discord for questions and discussions on HawkFi:
Market Making Agent
Run permissionless Market Making with agentic "grid trading" across Solana spot assets and market regimes
Market making on Solana used to be reserved for prop AMMs, trading firms, and teams with custom infrastructure.
HawkFi Market Making Agent brings that workflow into HawkFi Agents, with optimized models, Dynamic LO execution, and 0% execution cost for Agents funded with more than $500.
What is the HawkFi Market Making Agent?
The Market Making Agent is a HawkFi Agent type designed to bring institutional-style market making to HawkFi users.
Users with access can deploy and customize HawkFi Market Making Agents that continuously place buy orders just below the current price and sell orders just above the current price on a pool, such as SOL-USDC, cbBTC, whETH, ZEC, JUP, JLP, MET, JTO, or HYPE.
Market Making Agent is in live private beta and currently uses a DM-led selective rollout. If you have access, and choose Market Making Agent.
How is it possible?
Under the hood, Market Making Agents use a live ladder of resting Dynamic Limit Orders (DLO) on Meteora DLMM.
These are not static rule-based bots. The execution models are tuned for different market regimes and asset classes, so spread, refresh tempo, and inventory skew can adapt to what each asset is actually doing.
When the agent places quotes, it tries to buy slightly below the current price and sell slightly above the current price. If fills are clean and market conditions cooperate, the difference between those fills can become spread PnL, also called markout.
Agent
Details
Category
Remarks
Building block
What it controls
The Agents page shows Market Making Agent capital in two places:
Surface
What it shows
Use these values to check how much capital is committed to Market Making Agents after funding or order activity.
The shared Open Positions table also includes columns used by Screener Agent LP positions. UNCLAIMED FEES and UNREALIZED PNL describe positions opened by Screener Agents, not Market Making Agent open orders.
On the Dynamic Limit Order dashboard, bid and ask visuals follow the same color convention across the chart and bin display:
Visual
Meaning
Use this simplified walkthrough to create a Market Making Agent
1
Connecting your wallet lets you sign transactions and control your agents. Your connected wallet authorizes actions for your agents and agent wallet.
HawkFi cannot control your Wallet since they are designed to be self-custodial.
2
Agent wallets are designed so you can allocate SOL based on the amount you want the agent to use.
The current minimum to use HawkFi Market Making Agent efficiently is 1 SOL.
See for the shared funding checklist.
HawkFi keeps Market Making Agent fees simple:
Join our Discord for questions and discussions on HawkFi:
Execution models
Quant-optimized models that dynamically execute battle-tested market-making strategies
Execution Models for HawkFi Market Making Agents are quant-optimized models that dynamically execute battle-tested market-making strategies.
They choose how the agent starts placing buy and sell orders before the user adjusts settings like inventory split, inventory utilization, live orders, max quoted notional, spread factor, and quote refresh cadence.
Current Execution Models
Execution model
Best for
Behavior
Each Execution Model sets the baseline for how aggressive or defensive the Market Making Agent should be.
What it controls
Plain meaning
Execution Models are starting defaults, not locked strategies. Users can still change the final behavior through agent settings and .
If the pool looks like this
Start with
The Execution Model sets the baseline, but the final agent behavior also depends on user-level controls.
Control
Why it matters
Use Market Making Agent Analytics and HawkFi Laboratory to check whether the model fits the pool.
Signal
What it can mean
Advanced Settings
Tune how cautious, aggressive, or selective the agent should be when placing orders
Advanced Settings are for HawkFi Market Making Agents users who want to tune how cautious, aggressive, or selective the agent should be when placing orders.
Most users can start with an Execution Model default, then adjust advanced parameters only when they understand the tradeoffs.
Where Advanced Settings fit
Advanced Settings belong conceptually under Agent Settings. They change how the agent places, sizes, refreshes, filters, and protects quotes before the agent is funded and launched.
They do not replace Execution Models. Execution Models choose the baseline behavior. Advanced Settings let experienced users tune that behavior.
If you are not sure what a parameter does, start with the Execution Model default and test changes in HawkFi Laboratory before using a more aggressive live configuration.
Setting Groups
Setting group
What it controls
Placement settings control where quotes sit around the current price and how the agent responds when market conditions change.
Setting
Plain meaning
Signal settings help the agent decide whether the current price action is clean enough to quote or whether it should become more selective.
Setting
Plain meaning
Momentum settings help protect the agent from one-sided or fast-moving price action.
Setting
Plain meaning
EV Gate settings help the agent require more expected edge before taking risk.
Setting
Plain meaning
Sizing settings control how much the agent places on each side.
Setting
Plain meaning
Stoikov gamma (experimental) ranges from Off to 1.0 and is off by default. It changes quote prices, while Inventory skew changes the relative size placed on each side. Test positive gamma values in HawkFi Laboratory before using them in a live configuration.
Requote settings control when old quotes should be replaced.
Setting
Plain meaning
Screener Agent (Osprey V2)
24/7 Screener Agent that catches ~70% of daily runners and deploys LP automatically
Most token opportunities are easy to miss manually. Tokens move fast, rotate fast, and often become obvious only after the best entry window is gone.
HawkFi Screener Agent brings 24/7 screening into HawkFi Agents, using Osprey to catch runners early and execute battle-tested models.
What is the HawkFi Screener Agent?
The Screener Agent is a HawkFi Agent type that brings 24/7 screening using Osprey to catch runners early and execute battle-tested quant models.
The HawkFi Screener Agent's core is Osprey
Quick Start Tutorial
As of June 29, 2026, Osprey V2 High Volume 5M (Selective) catches ~70% of daily runners in the current beta benchmark.
Agent improvements are expected over time.
Use this simplified walkthrough to create a Screener Agent with Osprey selected in the Entry Model field.
1
Fund the Agent wallet.
Add SOL to your Agents Fund before turning the agent live.
2
Set the agent name, fixed position size, maximum open positions and pools, re-entry cooldown, pool selection criteria, and optional extra filters.
3
Choose Osprey V2 High Volume 5M (Selective) as the Screening Agent.
Osprey V2 is designed to catch runners early by screening top pools 24/7 for opportunities most humans would miss.
4
Choose how HawkFi should execute once Osprey finds an opportunity.
HawkFi screening agents use HawkFi's models as Execution Models
Want to dive deeper on Screener Agent Execution Models? See .
5
Add optional HawkFi automations such as Auto-Compound, Auto-Accumulate, Auto-Rebalance, or Reshape Liquidity if the position should keep managing itself after entry.
Position Managements uses HawkFi's Automations.
Wanna learn more about HawkFi automations? See
6
Decide whether you want to exit positions manually, use basic take profit and stop loss targets, or create custom advanced exit logic.
Exit Settings use HawkFi's automations.
Wanna learn more about HawkFi automations? See
7
Confirm the agent wallet funding, Entry Settings, Entry Model, Execution Model, position management, and exit rules before activating the agent.
Osprey is the screening agent inside HawkFi Screener Agent, designed to catch runners early by screening top pools 24/7 for opportunities most humans would miss.
It stays awake around the clock, watches token activity, catches daily runners, and routes winning opportunities into HawkFi agents.
Agent
Benchmark
Avg Entries / Day
Avg. Losing Streak
Optimized For
Behavior
Status
A runner is a top opportunity that Osprey was expected to catch.
In this context, a top opportunity means a token represented by one of the highest-ranking HawkFi pools in the evaluation snapshot. These pools are usually ranked by recent pool fees, such as the latest 24-hour fees.
The benchmark maps each pool to its subject token, excludes denominator assets where appropriate, and checks whether the filtered high-volume agent alerted that token inside the report window.
In simple terms:
Osprey currently catches 70% of daily runners in the beta benchmark.
Osprey is not being framed around how many alerts it sends. It is being framed around how many runners it catches before they become obvious.
The simple read: Osprey finds the market while humans are still watching scattered token feeds, pool pages, and noise.
Most token opportunities are easy to miss manually. Tokens move fast, rotate fast, and often become obvious only after the best window is gone.
HawkFi made the Osprey agent to built that gap. It monitors the market continuously 24/7, applies a repeatable screening, and catches a meaningful share of the daily runner universe before manual monitoring would usually react.
1
No manual setup, coding, or stitching tools together. Osprey is live inside HawkFi agents and can be configured in clicks.
2
No guesswork. Osprey is benchmarked against runners caught, win rate, and PnL outperformance studies, with an agent that can keep learning and improving over time.
3
Setup step
What it controls
Filter
What it controls
Join our Discord for questions and discussions on HawkFi:
Tune Your Osprey Trading Agent Settings
Review Osprey Trading Agent settings and monitor balances, trades, and manual exits.
As of July 2026: The values below are the verified defaults and validation ranges for a newly selected Osprey Trading Agent. They can change as the product evolves, and existing agents keep their saved settings when opened for editing.
Setting
Current default
Supported behavior
HawkFi Laboratory
Experiment with MM and LP agent configurations against HODL and passive benchmarks before deploying real capital.
HawkFi Laboratory is the research layer of the HawkFi Agent Terminal. Use it to test MM and LP strategies, HawkFi Models, and agent configurations before deploying real capital.
Laboratory turns the manifesto into a practical workflow: choose an asset, choose a market window, simulate a strategy, compare it against HODL and passive benchmarks, then refine the model or agent configuration before live execution.
1
Backtest existing HawkFi Models, Market Making configurations, or custom LP setups on real historical pool data before deploying capital.
2
Market Making
Backtest quote placement, quote refresh, fills, inventory behavior, spread settings, and markout performance on real historical DLMM pool data.
Market Making Mode is the HawkFi Laboratory mode for experimenting with Dynamic Limit Order and Market Making Agent configurations before live execution.
In Market Making Mode, Laboratory experiments with LP ranges and liquidity strategies.
In Market Making Mode, Laboratory experiments with 's Dynamic Limit Order style behavior: buy quotes below price, sell quotes above price, inventory management, quote replacement, quote widening, and fill quality.
The top result cards summarize performance and risk.
Metric
What it means
Liquidity Providing
Backtest DLMM liquidity strategies, HawkFi models, and automations against passive LP benchmarks.
Liquidity Mode is the HawkFi Laboratory mode for LP strategy simulation.
Paste a pool address, select a time window, configure a strategy, run the backtest, and study the result before deploying real capital.
The Result Metrics of HawkFi Laboratory summarize performance and risk.
Metric
What it means
HawkFi Models
Deploy battle-tested quant models in a single click.
HawkFi Models are battle-tested strategies optimized for specific asset classes and market regimes
A model defines the starting liquidity shape, included automations, and default trigger logic. Variants keep the same core strategy but change the range width, rebalance behavior, or directional setup.
Use this page as the model picker. Start with the market environment, then open the model family that matches how you want the position to behave.
Market environment
Start with
Why
Precision Flip
2x more concentrated fee-generation and maximize swing trading gains with high-frequency liquidity shaping
Precision Flip is a HawkFi Model designed to adaptively alternate between maximizing fee generation during volume spikes and maximizing swing trading gains during volatility spikes.
While this is a model with a combination of automations, the automations are still customizable to your liking.
Model
LP Details
Precision Flip Ultra Wide
2x more concentrated fee-generation and maximize swing trading gains with high-frequency liquidity shaping across an ultra-wide range
Precision Flip Ultra Wide is a HawkFi model variation of . It uses the same Precision Flip behavior, but across an ultra wide range.
Model
LP Details
Precision Curve
2x more concentrated fee-generation with high-frequency liquidity reshaping
Precision Curve is a HawkFi model that generate more fees by keeping liquidity concentrated near the current pool price as the market moves.
Model
LP Details
Precision Curve Wide
2x more concentrated fee-generation with high-frequency liquidity reshaping and wide coverage
Precision Curve Wide is a HawkFi model variation of . It uses the same Precision Curve behavior, but changes the range width from the parent 69-bin setup to 149 bins.
Model
LP Details
, and configure the agent before funding it with
Create Agent and Deposit
.
3
Add the amount you plan to allocate
For Market Making Agent, fund enough inventory for the quote setup you plan to run and keep the required SOL reserve.
For Screener Agent, align funding with the fixed position size, maximum open positions, and maximum pools in your Entry Settings.
For Osprey Trading Agent, confirm that Maximum agent allocation covers SOL per entry across Maximum open trades. The creation flow deposits that allocation into the agent before activation.
4
Confirm the funded balance
Wait for the transaction to confirm. For Market Making Agent or Screener Agent, check the updated Agents Fund balance before activation. For Osprey Trading Agent, confirm that its portfolio balance appears in the Agents table after creation and activation.
Market Making Agent, Screener Agent, and Osprey Trading Agent use funds differently.
Decide your working amount
The amount should match the position size, open-position limits, or inventory you plan to configure.
Keep a SOL reserve
The Agent wallet needs SOL for the Agent workflow and network activity.
Review fees and risk
Funding an Agent does not guarantee fills, entries, or returns.
Check the Market Making Agent reference for its current access and funding requirements. Screener Agent funding should cover the fixed position size and the number of positions you allow it to open. Osprey Trading Agent uses Create Agent and Deposit to fund its configured Maximum agent allocation from the connected wallet. The app's shared Agents Fund supplies and receives temporary-account rent; it does not hold Osprey Trading Agent principal.
How much the agent moves orders farther away when price action gets noisy.
Inventory skew
How strongly the agent reacts when it holds too much of one token.
Toxic fill protection
How selective the agent becomes when momentum or fill quality looks risky.
Thin small-cap flow where inventory can move against you quickly
Small-Cap
CARDS, PUMP, PUMPCADE, meme, micro-cap, or speculative runner pools with sparse liquidity
Meme-Cap
Spread factor
Scales order distance. Lower is tighter and more fill-seeking. Higher is wider and more selective.
Quote cadence
Controls how long unchanged orders can stay live before refresh. Faster cadence reacts faster but creates more activity.
Max quoted notional
Caps live order size per side, independent of available inventory.
High activity without better edge
Quote cadence, requote threshold, or spread factor may be too aggressive.
Blue-chip Wide
Deep blue-chip pools where protection from adverse selection matters more than fill count.
Wider baseline quotes, slower refresh, and more defensive behavior. This is closest to the SOL-USDC production-style baseline.
Blue-chip Tight
Major non-SOL blue-chip pools such as cbBTC or whETH, when the pool has enough depth for tighter maker quotes.
Moves the quote ladder closer to price to increase fill depth while still keeping volatility widening and directional protection.
Mid-Cap
Reasonably liquid mid-cap pools such as ZEC, JUP, JLP, MET, JTO, or HYPE, where blue-chip distance may be too passive.
Uses a tighter quote ladder to restore fill depth, while sizing down the side that may be facing suspicious momentum.
Small-Cap
Thinner small-cap pools where fills are noisier and inventory can drift quickly.
Starts closer, but adds stronger volatility widening, inventory skew, and edge checks before quoting.
Meme-Cap
Very thin meme, micro-cap, or speculative pools, including examples such as CARDS, PUMP, or PUMPCADE.
The most defensive visible model. It expects fewer fills and more skipped opportunities when conditions look toxic.
Starting spread
How far the first buy and sell orders sit from the current price.
Quote ladder spacing
How far apart each order level sits when the agent uses multiple bids and asks.
Refresh behavior
How often old orders should be replaced.
SOL-USDC or a deep blue-chip pool where you want safer order distance
Blue-chip Wide
cbBTC, whETH, or another deep major pool where wide orders are not filling enough
Blue-chip Tight
ZEC, JUP, JLP, MET, JTO, HYPE, or similar mid-cap flow with enough activity to place orders closer
Mid-Cap
Inventory split
Decides how much base and quote inventory the agent starts with. More base inventory supports asks. More quote inventory supports bids.
Inventory utilization
Decides how much of the vault can sit in live orders. Higher usage can create more fill opportunity and more inventory risk.
Live orders
Chooses one bid and one ask, or two bid levels and two ask levels. More live orders create a wider order ladder.
Too few fills
Orders may be too wide, the pool may be inactive, or the selected model may be too defensive.
Too many bad fills
Orders may be too tight, momentum may be one-sided, or the pool may need a more defensive model.
Inventory drifts too far
Inventory skew, split, utilization, or model defensiveness may need adjustment.
What does an Execution Model control?
In simple terms, it decides whether the agent should place orders closer to price for more possible fills, or farther from price for more protection.
If you are unsure which model to start with, choose the model that best matches the pool category, then test the configuration in HawkFi Laboratory before making it more aggressive.
Minimum size, inventory skew, Stoikov gamma, max side size, minimum order value, fee share, and quote update cost.
Requote
Requote threshold and maximum order age.
Markout horizons
Sets the time windows the model uses to evaluate post-fill quality.
Base spread
Sets the starting quote distance from the current price.
Level spacing
Controls spacing between quote levels when using multiple bids and asks.
Volatility lookback
Looks back across recent steps to estimate how noisy the market is.
Volatility spread
Widens quotes when volatility is higher.
Max spread
Caps how far the agent can widen quotes.
Directional lookback
Looks back for directional movement.
Directional bias
Controls how strongly directional movement affects quote placement.
Directional offset
Caps how much directional bias can move quotes.
Toxic-side size
Reduces quote size on the side most exposed to toxic fills.
Volatility penalty
Penalizes quoting when volatility is too noisy.
Inventory penalty
Penalizes quotes that worsen inventory imbalance.
Full-size edge
Sets the edge needed before using larger quote size.
Max side size
Caps how large one side of the quote ladder can get.
Min order value
Sets the minimum order value the agent should place.
Fee share
Controls the fee share assumption used by the agent.
Quote update cost
Estimates the cost of updating quotes.
Placement toggles
Adaptive placement and requote-on-fill behavior.
Placement
Base spread, level spacing, volatility spread, and max spread.
Signals
Fair value lookback, mean reversion, directional lookback, directional bias, and directional offset.
Momentum
Momentum lookback, momentum threshold, momentum spread, and toxic-side size.
EV Gate
Adaptive placement
Allows the agent to adjust placement as market conditions change.
Requote on fill
Refreshes quote placement after a fill.
EV gate
Turns expected-value gating on or off. When enabled, the agent can require a minimum expected edge before placing size.
Fair value lookback
Looks back to estimate where fair value may be.
Mean reversion
Adjusts behavior when price may be reverting toward fair value.
Mean reversion offset
Controls how much the agent offsets quotes for mean reversion behavior.
Momentum lookback
Checks recent price movement for momentum.
Momentum threshold
Sets how much movement is needed before momentum logic matters.
Momentum spread
Widens quotes when momentum risk increases.
Min edge
Sets the minimum expected edge before quoting.
Fair value weight
Controls how much fair value influences expected edge.
Momentum penalty
Penalizes quoting into risky momentum.
Min size
Sets the minimum quote size behavior.
Inventory skew
Adjusts quote behavior when the agent holds too much of one side.
Stoikov gamma (experimental)
Shifts the center of the bid and ask ladder away from excess inventory. Off preserves the existing quote center; higher values create a stronger shift.
Minimum edge, fair value weight, and penalties for risky conditions.
Wide or 69 bin-range LP with real-time liquidity reshaping to keep Curve liquidity concentrated around active bin (pool price), without added IL risk from rebalancing the full price range by default.
Precision Curve is the fee-focused Curve model inside Models Library. The Wide, Ultra Wide, and Rebalance pages show how that same base model changes for different range needs.
Free bin initialization fees, covered by HawkFi
Ideal entry
During price corrections: wide, single-side SOL only
During price uptrends: wide, single-side token only
During sideways price: wide, double-sided
While this is a model with a combination of automations, the automations are still customizable to your liking.
Model Automations
LP effect
Default settings
Auto-compound (AC)
Maximize fee printing by automatically compounding position size from fees generated.
On
Reshape Liquidity (RL)
High-frequency liquidity reshaping whenever active bin moves by a set trigger so Curve liquidity stays concentrated around current price.
5 bins
Precision Curve is the simple fee-focused model for LPs who want a setup that stays useful near current price instead of leaving liquidity static as price drifts.
Use the base model when you want the standard Curve behavior. Move to a wider variant when you want more range coverage, or to the rebalance variant when you want the full range to follow price. For the full Models map, go back to Models.
Maximize fee generation of multi-hour to multi-day LP with wide ranges to print from uptrend, sideways, or dip price actions.
What is Precision Curve
Model Overview
How it works
Model Building Blocks
You can customize, change, or add more automations to your model based on market conditions and personal preferences.
Why use Precision Curve
Variants of this Model
Tutorial Videos & Case Studies
More Questions?
Stopped
The agent is paused or archived.
High activity without better edge
Quote cadence, requote threshold, or spread factor may be too aggressive.
Test the change when possible
Use HawkFi Laboratory to compare a Market Making Agent configuration or LP model against the same historical pool conditions before live deployment.
4
Change one decision at a time
Keep the reason for the change clear so you can tell whether the new behavior came from the execution model, advanced settings, position management, or exit rules.
Screener Agent is for opportunity discovery. Osprey screens top pools continuously, then routes qualified entries into the selected HawkFi execution model.
Osprey Trading Agent is for Osprey-based token trading. It uses the selected Osprey model and filters before entering a token trade from the agent's WSOL balance.
3
Decide whether to test first
Use HawkFi Laboratory before live deployment when you want to compare settings, study drawdown, inspect inventory behavior, or test whether a configuration fits a historical market window.
Laboratory is a simulation product. It is separate from live HawkFi Agents.
Review the setup, select Create Agent and Deposit, and approve the funding transaction.
6. Monitor trades
Follow Agent status, open trades, and closed trades from HawkFi Agents.
Repeatable trade rules
The agent uses the configured screening, entry, re-entry, and full-position exit controls when evaluating and managing eligible opportunities.
Monitoring in one place
HawkFi Agents shows Agent status alongside open and closed token trades.
Exit Settings
Requires full-position take profit and stop loss, then applies exit slippage and an optional maximum hold.
Funding and lifecycle
Creates the agent, deposits its configured allocation, activates it after funding succeeds, and exposes edit, exit, pause, and close controls from the Agents interface.
A live Osprey signal feed showing win rates and profit multipliers
V2 Agent Terminal
Configure Entry Settings.
Set the agent name, entry size, total allocation, open-trade limit, Osprey model, and entry slippage.
Set Agent Name, SOL per entry, Maximum agent allocation, and Maximum open trades. Choose Osprey High Volume 5m Selective or Osprey High Volume 5m Degen, then review ENTRY MAX SLIPPAGE.
4
Set the risk boundary and entry controls.
Configure market cap, adaptive sizing, re-entry behavior, and optional filters.
Set at least one MARKET CAP RANGE boundary. Review Adaptive sizing strength and No re-entry, then use ADD FILTER if the agent needs additional token-level limits.
5
Configure Exit Settings.
Configure fixed full-position exits and review the setup before saving or creating the agent.
Set both Set stop loss and Set take profit. Review Exit slippage and the optional Maximum hold, which requests an exit at the next evaluation after the configured number of minutes from confirmed entry.
6
Review, create, and deposit.
Select Review from the top, confirm every control, then select Create Agent and Deposit. Approve the connected-wallet transaction that funds the agent allocation. After funding and activation succeed, HawkFi reports Osprey Trading Agent funded and active and the agent waits for the next eligible Osprey signal.
Open the New Agent page and select Osprey Trading Agent.
2. Set the capital boundaries
Choose SOL per entry, Maximum agent allocation, and Maximum open trades.
3. Choose how Osprey screens
Select Osprey High Volume 5m Selective or Osprey High Volume 5m Degen.
Continuous opportunity screening
Osprey watches for eligible opportunities 24/7. Signals must match the selected model and filters before the agent considers them for entry.
Personalized capital boundaries
You define the entry size, total allocation, and maximum number of open trades before activation.
Custom filters and exits
You choose Selective or Degen, market-cap boundaries, optional token filters, re-entry behavior, and full-position exit controls.
Autopilot
Osprey enters the trade, then exits the full position based on your configured Set take profit and Set stop loss targets.
Current-default example: Set take profit at +16% and Set stop loss at -40%. Osprey exits when either target is reached.
Copilot
Osprey enters the trade, then you decide whether to use EXIT or keep holding based on conviction. Your configured Set take profit and Set stop loss targets remain active.
Use +160% for Set take profit and -80% for Set stop loss. These wider targets give the trade more room to move, but require active monitoring. You can still manually exit the trade at any time if your conviction changes.
Entry Settings
Sets the agent name, entry size through SOL per entry, total allocation, maximum open trades, Osprey model, entry slippage, market-cap range, adaptive sizing, re-entry behavior, and optional token filters.
Osprey screening
Uses high-volume token signals from the selected Osprey model and the configured filters to determine whether a signal is eligible for this agent.
Trade entry
Buys the selected token from the agent's trading balance after an eligible signal passes the configured limits.
Osprey Trading Agent is available from the New Agent page. Choose Osprey Trading Agent after connecting and authenticating the wallet that will own the agent.
Quick start
Why use Osprey Trading Agent
Two ways to manage Osprey trades
Set take profit and Set stop loss remain required for both approaches. These examples show how each approach can be configured. They are not recommended exit percentages, and neither approach guarantees a profitable exit or exact execution price.
How Osprey Trading Agent works
The app's Agents Fund is the shared SOL reserve used for temporary account rent. Returned rent goes back to Agents Fund when a temporary token account closes. This reserve is separate from the Osprey Trading Agent's isolated WSOL trading principal, which funds entries and receives exit proceeds.
Adaptive sizing strength can reduce an eligible entry below SOL per entry only when adaptive sizing is active at the deployment level and a valid downside-sizing score is available. If the scorer or deployment mode is off, or no valid score is available, the agent uses the configured SOL per entry as its static base size. The allocation and open-trade limits still apply in both cases.
Osprey Trading Agent opens token trades, not LP positions. Direct token exposure can lose value quickly, and configured exits do not guarantee an exact execution price.
Pausing an Osprey Trading Agent prevents new entries. Take profit, stop loss, maximum hold, manual exits, and closure exits remain active for open trades.
What you can do today
What's next
How to deploy Osprey Trading Agent
The supplied figures show Edit Agent. The same settings appear during creation, where the final action is Create Agent and Deposit. Editing an existing agent ends with Save changes.
Visit HawkFi Agents and connect your wallet.
Open New Agent and select Osprey Trading Agent.
FAQs for Osprey Trading Agent
Why has my Osprey Trading Agent not opened a trade?
The agent waits for an eligible signal from the selected Osprey model. A signal can also be skipped when it does not match the configured filters, the agent has reached Maximum open trades, the next entry would exceed Maximum agent allocation, or the token is blocked by the current re-entry rule.
What happens when I manually exit a trade?
The full current token balance is swapped back to the agent's WSOL account using the configured Exit slippage. The exit fee is deducted from the gross WSOL output before net proceeds reach the isolated WSOL account. The empty token account is then closed and its rent is returned to Agents Fund.
Fees
Detailed table
Each entry and exit swap includes a 1% execution fee. On entry, the fee is deducted from the gross WSOL input, so 99% of that input is routed into the token swap. On exit, the fee is deducted from the gross WSOL output before net proceeds are credited to the agent's isolated WSOL account.
Network activity and account setup can also require SOL. Review the connected wallet and agent balance before creating, funding, exiting, or closing an agent. See Understand Fees and Risks for the shared fee and risk reference.
Reviews the final setup, confirm funding, and create the agent.
3
Click on the New Agents button
4
Select Market Making Agent
Market Making Agent works best for pools with consolidated, range bound, sideways, or neutral price action.
5
Select the Pool
Search the pair or paste the pool address you want to market make. Example pools and assets include SOL-USDC, cbBTC, whETH, ZEC, JUP, JLP, MET, JTO, and HYPE. For thinner or more speculative pools such as CARDS, PUMP, or PUMPCADE, test in HawkFi Laboratory first and start with a more defensive Execution Model.
6
Configure your Market Making Agent
Select your Execution Model
Blue-chip Tight has worked best in most large-cap market-making setups so far (Not financial advice).
The default settings are already optimized to get started.
You can hover on each Market Making Agent configuration tooltip to learn what each setting controls.
7
Create Agent and Deposit
Review the settings, confirm the funding step, then create and deposit into the agent.
Sideways, range bound, consolidating, or delta neutral markets where the user wants live maker quotes around price.
How it works
Places and refreshes buy and sell orders around the current pool price through Dynamic Limit Orders mechanics.
Best market shape
Sideways, range bound, consolidating, or neutral price action.
Ideal assets:
Crypto: SOL-USDC, cbBTC, whETH, ZEC, JUP, JLP, MET, JTO, and HYPE.
Experimental or thinner examples to test carefully first: CARDS, PUMP, and PUMPCADE.
Agent Settings
Choosing the pool, deposit size, execution model, inventory split, order count, spread factor, and optional Advanced Settings.
Inventory Funding
Adds the funds the agent will use for market making, plus the SOL reserve needed to run.
Quote Management
Reviews how many buy and sell orders the agent can place, how much inventory it can use, and when orders should be replaced.
Agent Portfolio
Deployed includes Market Making Agent vault funds, including idle inventory and value currently locked in open orders.
Agents table BALANCE column
Market Making Agent rows show the total vault value and a per-token breakdown. Screener Agent rows leave this cell blank.
Blue
Bid quotes
Orange
Ask quotes
For simplicity, users can deploy optimized models for their agents. Advanced users can also customize Market Making Agent with Advanced Settings.
How do you earn?
from 100% of the PnL spread (Markouts), at 0% execution cost for Agents funded with more than $500.
Market Making Agents can be a useful alternative to LPing when a token pool has low fees, low volume, or too much competition from prop AMMs. In those markets, earning from spread PnL may be more attractive than competing for low LP fee capture.
Market Making Agent Overview
General Guidelines
Market Making Agent Building Blocks
Execution Modelsare responsible to how wide or tight the Market Making Agent will be.
\ Learn more aboutExecution models here
Advanced Settings are available for users who want more control over quote placement, signal behavior, sizing, and requote rules.
Learn more about Advanced Settings here
Monitoring balances after launch
How to deploy HawkFi Market Making Agents
Visit HawkFi Agents and connect your wallet.
Fund your Agent wallet
HawkFi Laboratory is the best place to test Market Making Agent behavior before making a live configuration more aggressive.
FAQs for HawkFi's Market Making Agents
What's the minimum deposit to start?
1 SOL
Fees
0% fees for Market Making Agents funded with more than $500.
7d: Catches ~67% of daily runners
14d: Catches 52% based on latest 14 days study
~10/day
A runner is a top-pool token Osprey should have caught.
Runners caught = daily runners caught by Osprey / all eligible daily runners
Entry Settings
Choose the agent name, fixed position size, maximum open positions, screening agent (Osprey V2), re-entry cooldown, pool selection criteria, optional extra filters, and execution models
Initial Deposit
Choose the starting liquidity shape HawkFi should use after Osprey finds a matching opportunity. A position can use up to 250 total bins, including the active bin, with up to 249 bins on one side when the other side is empty.
Position Management
Add optional automations such as Auto-Compound, Auto-Accumulate, Auto-Rebalance, or Reshape Liquidity.
Market cap
Filters opportunities by token market cap.
Token liquidity
Filters opportunities by token-level liquidity.
Age
Filters opportunities by token age.
Configure Entry Settings.
Pick the Screening agent (Osprey V2)
Pick your Execution Model.
Choose Position Management settings.
Set your Exit Settings (TP and SL)
Review and launch.
What is Osprey?
This page covers the Screener Agent LP workflow. Osprey Trading Agent is a separate HawkFi Agent type that uses eligible Osprey signals for direct token trades.
The Osprey V2 Agents
Benchmark Methodology
Benchmark results, as of June 29, 2026, are evaluated using a comprehensive 14-day historical study incorporating the latest agent improvements. Previous Osprey High Volume 5M V1 results (67% Runner Capture) were evaluated using an earlier 7-day benchmark.
What counts as a runner
Current HawkFi Benchmarking Study
The 70% figure is the current beta benchmark for runners caught with Osprey V2 High Volume 5M (Selective)
Agent improvements are expected over time.
Position Management and Exit Settings use HawkFi Automations
Learn more about HawkFi automations here
FAQs for Screener Agent
I deployed the Screener Agent. Why has it not opened any position?
Osprey V2 High Volume 5M (Selective) is selective by design. It waits for higher confidence entries instead of forcing constant positions.
If you want broader opportunity coverage, Osprey V2 High Volume 5M (Degen) targets more entries. Higher frequency comes with tradeoffs: more entries, more activity, and higher risk.
Must cover the configured entry size across the allowed open trades.
Maximum open trades
3
Accepts 1 to 10 concurrent trades.
OSPREY TRADING AGENT
Osprey High Volume 5m Selective
Selective and Degen are the current visible options.
ENTRY MAX SLIPPAGE
3%
Accepts 0.01% to 5%.
MARKET CAP RANGE
Minimum 100,000 USD; no maximum
At least one non-negative boundary is required. The minimum must be lower than the maximum when both are set.
Adaptive sizing strength
100%
Accepts blank or 0% for fixed sizing, or 1% to 100% for partial to full adaptive sizing. A reduction occurs only when deployment-level adaptive sizing is active and a valid score is available; otherwise the configured SOL per entry remains the static base size.
No re-entry
Enabled
Prevents the agent from entering the same token mint more than once. If disabled, a re-entry cooldown can be set.
Set stop loss
-40%
Required for Osprey Trading Agent and applies to the full position.
Set take profit
+16%
Required for Osprey Trading Agent and applies to the full position.
Exit slippage
3%
Accepts 0.01% to 5%.
Maximum hold
480 minutes
Optional. Accepts 1 to 525,600 minutes or blank for no limit.
Filter
What it controls
Token liquidity
Filters signals by token-level liquidity.
Age (hours)
Filters signals by token age.
Jupiter organic score
Filters signals by Jupiter Organic Score.
Once the agent is live, HawkFi Agents keeps the Agent status and trade history in one place.
Use the Agents table for the overall Agent. Use Open Positions and Closed Positions to follow individual trades:
Surface
What it shows
Agents table
Agent status, portfolio balance, HODL, PROFIT, configuration actions, and a shortcut to the agent's positions. The portfolio balance values the agent's WSOL and open token accounts in USD or SOL.
Open Positions
Token, age and agent name, current token balance, entry price, asset, UNREALIZED PNL, entry transaction, and EXIT.
Closed Positions
Token, trade age, agent name, REALIZED PNL, closure time, and entry and exit transaction links.
Select EXIT to review a manual full-position exit. Approve & Exit authorizes the current token balance to be swapped back to the agent's WSOL account. The empty token account is then closed and its rent is returned to Agents Fund.
SOL per entry
0.1 SOL
Accepts 0.001 to 1 SOL. This is the maximum base size for one entry.
Optional Entry Settings filters
Monitoring balances and trades after launch
Compare and optimize
Compare results against HODL and passive benchmarks, or use Optimize to find a model that fits the selected asset and regime.
3
Execute your winning formula into a model
Refine the setup, pick the model or agent configuration that fits the selected market, then use it as your starting point for live execution.
Once you find a Market Making or Liquidity Providing setup that fits your pool, market view, and risk style, use it as your starting point for real execution in the Agent Terminal.
Move from Backtest to Live explains the checks to make before turning a Laboratory result into a live setup.
HawkFi Laboratory currently has two modes.
Mode
Use this when you want to
What you'll get
Backtest DLMM liquidity strategies, , , and custom model setups against passive LP and hold benchmarks.
Helps you prepare setups for the core , or refine for
Backtest Dynamic Limit Order or Market Making Agent configurations before creating a
Test the same pool, same time window, and same deposit amount when comparing setups.
Do not judge a model or strategy from final PnL alone.
Use pool behavior to guide strategy choice. Trending, ranging, high fee, and low fee pools can favor different setups.
Treat a backtest as research, not a promise.
Recheck live market conditions before deploying capital.
Backtests do not predict the future, but HawkFi Laboratory gives you a place to keep experimenting, refining, and comparing until you find the model or agent configuration you want to deploy.
Practical simulating tips
Related Pages
More Questions?
Net PnL
The simulated Market Making setup PnL for the selected window.
Win Rate
The percentage of positive markouts. The UI can also show markout counts beside the win rate.
Pair HODL
The result from holding the pool pair instead of running the simulated configuration.
Fees
Fees or fee-related value shown for the simulation.
Max Drawdown
The Equity Curve shows how performance changed over time.
Line
What it means
Simulated PnL
The performance of the Market Making configuration being simulated.
Pair HODL PnL
The result from holding the pool pair instead of running the configuration.
Single token HODL
The result from holding one side of the pair, when available.
Use this chart to see whether the configuration created steady markout over time or relied on a few large moves.
Price & Range shows pool price, quote range, and rebalance markers.
Line or label
What it shows
Price
The pool price through the backtest window.
Range high
The upper side of the simulated quote or range area.
Range low
The lower side of the simulated quote or range area.
Use this panel to understand how often the configuration moved with price.
TVL Breakdown shows the simulated token composition over time.
Example for a simulated SOL-USDC pool
What it means
SOL TVL
The simulated SOL value held by the configuration over time.
USDC TVL
The simulated USDC value held by the configuration over time.
Use TVL Breakdown to inspect inventory drift. A Market Making setup can show strong markout while ending with a different token mix, so this chart gives more context than PnL alone.
Market Making Diagnostics is the deeper readout for quote quality, fills, inventory, cost, and markout.
Diagnostic
What it means
Fills
Total simulated fills and bid or ask side split.
Quote Updates
How many times quotes were updated or refreshed. High activity is useful only if it improves edge.
Filled Turnover
How much turnover the simulated quotes created relative to starting capital.
Markout horizons show whether fills were favorable after different time windows.
Markout horizon
What it means
5m
Mean net markout five minutes after fills.
15m
Mean net markout fifteen minutes after fills.
30m
Mean net markout thirty minutes after fills.
Positive markout means fills were favorable over that horizon in the simulation. Negative markout can suggest the quotes were getting picked off or filled before adverse price movement.
Under the charts, Laboratory shows a compact summary.
Field
What it means
Window
The exact historical period used for the backtest.
Time in Range
The percentage of the selected window covered by the simulation state.
Rebalances
The number of quote or range refresh events shown by the simulation.
Liquidity Replay Animation lets you inspect the simulated state frame by frame.
Field
What it means
Frame
The current replay frame out of the full simulation.
Timestamp
The historical time represented by the frame.
Active Bin
The active DLMM bin at that moment.
Use replay when you want to inspect how the configuration moved through time instead of only reading the result cards.
Use this simplified walkthrough to experiment with a Dynamic Limit Order setup in HawkFi Laboratory.
1
Select Market Making Mode
Use the Mode selector and choose Market Making.
2
Paste a pool address
Paste the DLMM pool address into Pool Address. You can test examples such as SOL-USDC, cbBTC, whETH, ZEC, JUP, JLP, MET, JTO, or HYPE. Thinner examples such as CARDS, PUMP, or PUMPCADE should be treated as higher-risk experiments and checked carefully against fill quality and inventory drift.
When the pool loads, Laboratory displays the pair, base fee, and bin step.
Pool detail
Example shown
3
Use Start and End to choose the historical backtest window.
Use this when you want to experiment with a specific market period, such as a launch window, range period, volatility spike, or recent pool behavior.
For eligible pools, Event-Driven (BETA) uses available event history, may adjust the date range automatically, and refreshes optimization results hourly.
4
Use Initial USDC to set the starting value used for the simulated configuration.
5
Select the Execution Model you want to experiment with.
Execution Models are quant-optimized starting defaults for Market Making Agent behavior.
In simple terms, they decide whether the configuration should place orders closer to price for more possible fills, or farther from price for more protection.
Execution Model
Best for
6
Use the primary controls to change inventory usage, live order count, inventory split, replace interval, open order notional, and spread factor.
UI field
What it controls
7
Advanced Settings are for users who want more control over how cautious, aggressive, or selective the configuration should be when placing orders.
Most users should start with an Execution Model default, then experiment in Laboratory before making a live configuration more aggressive.
The current Laboratory UI can show these Advanced Settings:
UI field
What it controls
8
Click Optimize when you want Laboratory to search across candidate Market Making configurations for the selected pool, window, and deposit amount.
There are three Optimize options.
Optimize option
What it means
9
Click Run Backtest.
Laboratory simulates the selected Market Making configuration over the selected pool and time window.
After a backtest, click Create Market Making Agent, name the agent, add SOL, then select Fund and deploy agent.
Under Strategy actions, Save Model
Start with the Execution Model that matches the pool quality and depth.
Use Laboratory before making a live Market Making Agent configuration more aggressive.
Lower Spread Factor can increase fill opportunity, but can also increase toxic fill risk.
Higher Inventory Utilization can create more opportunity and more inventory risk.
Review Win Rate and markout diagnostics before trusting Net PnL.
Watch Final Inventory so a good PnL result does not hide unwanted inventory drift.
Use Advanced Settings only when you understand the tradeoff being changed.
Use Percentage or Absolute to switch how results are displayed.
Equity Curve Metrics
Price & Range Chart
TVL Breakdown
Market Making Diagnostics
Markout Horizons
Simulation Summary
Liquidity Replay Animation
How to run a Market Making Mode backtest
Market Making Mode tips
Related Pages
More Questions?
Manual LP
The passive 69 spot bins for the same pool and window.
Pair HODL
The result from holding the pool pair instead of running the simulated strategy.
Fees
Fees earned by the simulated strategy.
Max Drawdown
The largest peak decline during the backtest.
The Equity Curve of HawkFi Laboratory shows how performance changed over time.
Line
What it means
Simulated PnL
The performance of the HawkFi model or custom setup being simulated.
Manual PnL
The passive LP benchmark over the same pool and window.
Pair HODL PnL
The result from holding the pool pair instead of running a strategy.
Use this chart to see when outperformance appeared, when drawdown happened, and whether the final result came from a steady edge or a late move.
Price & Range chart of HawkFi Laboratory shows pool price relative to the simulated strategy range.
Line or label
What it shows
Price
The pool price through the backtest window.
Range high
The upper maximum range of the simulated range.
Range low
The lower minimum range of the simulated range.
Use this panel to understand whether the strategy stayed positioned around price or spent too much time away from the active market.
TVL Breakdown of HawkFi Laboratory shows the simulated token composition over time.
Example for a simulated
(SOL-USDC pool)
What it means
SOL TVL
The simulated SOL value held by the position over time.
USDC TVL
The simulated USDC value held by the position over time.
Use TVL Breakdown to inspect how inventory shifted through the range. A strategy can earn fees while ending with a different token mix, so this chart gives more context than PnL alone.
Under the charts, Laboratory shows a compact summary.
Field
What it means
Window
The exact historical period used for the backtest.
Time in Range
The percentage of the selected window where the simulated position was in range.
Rebalances
The number of times the strategy rebalanced during the simulation.
Liquidity Replay Animation lets you inspect the simulated position frame by frame.
Field
What it means
Frame
The current replay frame out of the full simulation.
Timestamp
The historical time represented by the frame.
Active Bin
The active DLMM bin at that moment.
The replay bars show token distribution across bins. Use this panel when you want to understand how the strategy behaved inside the range instead of only reading final PnL.
Use this simplified walkthrough to experiment with a DLMM liquidity setup in HawkFi Laboratory.
1
Select Liquidity Mode
Use the Mode selector and choose Liquidity.
2
Paste a pool address
Paste the DLMM pool address into Pool Address.
When the pool loads, Laboratory displays the pair, base fee, and bin step. In the SOL USDC screenshot, the pool reflects:
Pool detail
Example shown
3
Use Start and End to choose the historical backtest window.
The selected period controls which pool data Laboratory uses for the simulation.
The date picker lets you select the calendar date and time. Use this when you want to test a specific market period, such as a launch window, drawdown, recovery, or recent pool behavior.
4
Use Initial USDC to set the starting quote amount.
For SOL quote pools, this is the amount of TVL in USDC used in the simulated position.
For SOL quote pools, this is the amount of TVL in USDC used in the simulated position.
For other quote pools, this is the amount of TVL in USDC used in the simulated position.
5
Click Optimize when you want Laboratory to search for stronger strategy configurations across the selected pool, time window, and deposit amount.
Under Strategy actions, Save Model appears before Optimize.
There are two Optimize options
6
Click Configure to select or customize the liquidity setup.
You can either create a custom setup from scratch or start from an existing HawkFi model.
1
Use Create from scratch
7
Click Run Backtest.
Laboratory simulates the selected strategy over the selected pool and time window.
Execute Strategy appears below the Initial USDC and Strategy actions row. Run and review the backtest before using it to deploy the setup.
Compare strategies using the same pool, same window, and same deposit.
Read Net PnL beside Manual LP and Pair HODL.
Check Max Drawdown before judging a backtest as good.
Use Price and Range to see whether the range matched the market.
Use TVL Breakdown to understand inventory changes.
Use Liquidity Replay to inspect how the position behaved through time.
Enhanced multi-hour to multi-day LP returns from both maximum fee concentration and buy-low, sell-high swing trading gains.
How it works
Precision Flip is a HawkFi model that starts in Precision Curve, then flips to Precision Hybrid when price reaches the position edges.
Curve mode keeps liquidity dense around the active bin (pool price) for maximum fee capture. Hybrid mode maintains a 50/50 Spot + Bid-ask distribution to keep printing fees while positioning for two-way swings.
Precision Flip continuously flips between these two liquidity shapes, with an optional flip buffer.
*Free bin initialization fees, covered by HawkFi
Ideal entry
During sideways or volatile/choppy price action: wide, double-sided
Model Automations
Effect
Default settings
Auto-compound (AC)
Maximize fee printing by automatically compounding position size from fees generated.
On
Reshape Liquidity (RL)
Keeps Curve liquidity concentrated around the active bin, then flips into a 50/50 Spot + Bid-ask liquidity distribution near the position edges.
Starting Shape: 5 bins, Curve
Alternative shape: 12 bins, Hybrid (50% Spot, 50% Bid-ask)
Precision Flip exists for LPs who want a model that can stay fee-concentrated near current price, then shift into a more swing-aware liquidity shape at the edges.
It fits the middle ground between Precision Curve and Precision Hybrid. If the market stays useful near the center, Curve mode stays efficient. If price pushes outward, Hybrid mode is better suited for two-way swings without abandoning fee generation.
If you want more range coverage from the same family, use the ultra-wide variant. For the full model map, go back to Models
You can customize, change, or add more automations to your model based on market conditions and personal preferences.
Why use Precision Flip
Variants of this Model
Tutorial Videos & Case Studies
More Questions?
Precision Flip Ultra Wide is a HawkFi model variation that starts in Precision Curve, then flips to Precision Hybrid when price reaches the position edges.
It keeps the same Curve to Hybrid flip behavior as the parent model, but uses an ultra wide range to give the position more room before edge-driven behavior matters.
Free bin initialization fees, covered by HawkFi
Ideal entry
During sideways or volatile/choppy price action: ultra wide, double-sided
What stays the same
What changes in Ultra Wide
Same parent model: Precision Flip
Ultra wide range coverage
Same liquidity shape behavior:
Curve ⇄ 50% Spot 50% Bid-Ask
More room before price reaches the position edges
Same included automations: Auto-compound (AC), Reshape Liquidity (RL), and optional flip buffer
Better fit when the LP wants Precision Flip behavior without the standard model width
Model Automation
Why it is included
Default Settings
Auto-compound (AC)
Maximize fee printing by automatically compounding position size from fees generated.
On
Reshape Liquidity (RL)
Keeps Curve liquidity concentrated around the active bin, then flips into a 50/50 Spot + Bid-Ask liquidity distribution near the position edges.
Precision Flip Ultra Wide is for people who want the same parent Precision Flip behavior, but with more range coverage.
The simple tradeoff is:
Standard Precision Flip is the tighter parent version.
Precision Flip Ultra Wide gives more room across the range before edge-triggered flip behavior matters.
You choose Ultra Wide when you still want Precision Flip behavior, but do not want the standard model width.
Join our Discord for questions & discussions on HFL: https://discord.com/invite/hawkfi
(Coming soon)
Best for
Enhanced multi-hour to multi-day LP returns from both maximum fee concentration and buy-low, sell-high swing trading gains when the LP wants more range coverage than standard Precision Flip.
Precision Curve Wide keeps Curve liquidity concentrated around the active bin (pool price) with real-time liquidity reshaping, while expanding range coverage from 69 bins to 149 bins.
It keeps the same parent model behavior and included automations, but changes the range width so the position has more room before range management is needed.
*Free bin initialization fees, covered by HawkFi
Ideal entry
During sideways, grinding, or correction price action when the LP still wants Precision Curve behavior, but does not want the tighter 69-bin parent model width.
What stays the same
What changes in Wide
Same parent model: Precision Curve
Range width changes from 69 bins to 149 bins
Same liquidity shape: Curve
More room before range management is needed
Same included automations: AC and RL
Built for LPs who want the same fee-focused Curve behavior without the standard 69-bin model width
Model components
Why it is included
Default Settings
Range width
Differentiates Wide from the 69-bin parent model.
149 BINS
Liquidity shape
Keeps liquidity concentrated around the active bin.
For deeper understanding of AC, RL, AR, and Ping Pong, use Automation Library.
Precision Curve Wide is for LPs who want the same parent Precision Curve behavior, but with 149-bin range coverage.
The simple tradeoff is:
Precision Curve is the base parent version at 69 bins.
Precision Curve Wide gives more room across the range at 149 bins.
You choose Wide when you still want fee-focused Precision Curve behavior, but do not want the standard 69-bin model width.
Multi-hour to multi-day LP that wants the same fee-focused Curve behavior as Precision Curve, but with 149-bin range coverage instead of the parent 69-bin setup.
What is Precision Curve Wide
Use this page for what changes in this variation. For the full model logic, see Precision Curve. For where this model sits in HawkFi docs, see Models.
2x more concentrated fee-generation with high-frequency liquidity reshaping and ultra wide coverage
What is Precision Curve Ultra Wide
Precision Curve Ultra Wide is a HawkFi model variation of Precision Curve. It uses the same Precision Curve behavior, but changes the range width from the parent 69-bin setup to 250 bins.
Use this page for what changes in this variation. For the full model logic, see . For where this model sits in HawkFi docs, see
Model Overview
Model
LP Details
Best for
Multi-hour to multi-day LP that wants the same fee-focused Curve behavior as Precision Curve, but with 250-bin range coverage instead of the parent 69-bin setup.
What stays the same
What changes in Ultra Wide
Model components
Why it is included
Default Settings
For deeper automation mechanics, see or go back to .
Precision Curve Ultra Wide is for LPs who want the same parent Precision Curve behavior, but with 250-bin range coverage.
The simple tradeoff is:
Precision Curve is the base parent version at 69 bins.
Precision Curve Ultra Wide gives more room across the range at 250 bins.
You choose Ultra Wide when you still want fee-focused Precision Curve behavior, but do not want the standard 69-bin model width.
(Coming soon)
Join our Discord for questions & discussions on HFL:
(Coming soon)
Precision Hybrid Ultra Wide
Maximize swing trading gains while generating fees with high-frequency liquidity reshaping and ultra wide coverage
What is Precision Hybrid Ultra Wide?
Precision Hybrid Ultra Wide is a variant of the parent Precision Hybrid model. It keeps the same 50% Spot 50% Bid-Ask liquidity shape and the same core included automations, but changes the model width from 69 bins to 250 bins.
This variant exists for LPs who want the same Hybrid behavior with more range coverage before range management is needed.
Use this page for what changes in this variation. For the full model logic, see . For where this model sits in HawkFi docs, see .
Model Overview
Model
LP Details
Best for
What stays the same
What changes in Ultra Wide
Model components
Why it is included
Default Settings
For deeper automation mechanics, see or go back to .
Precision Hybrid Ultra Wide is for LPs who want the same parent Precision Hybrid behavior, but with 250-bin range coverage.
The simple tradeoff is:
Precision Hybrid is the base parent version at 69 bins.
Precision Hybrid Wide gives more room across the range at 149 bins.
Precision Hybrid Ultra Wide gives the maximum standard range coverage at 250 bins.
Precision Hybrid
Maximize swing trading gains while generating fees with high-frequency liquidity reshaping
What is Precision Hybrid?
Precision Hybrid is a HawkFi model built to generate fees while also capturing swing trading gains.
The default liquidity shape is a hybrid of 50% Spot and 50% Bid-Ask liquidity distribution around the active bin.
It is the model family for LPs who want a more balanced fee plus swing-trading setup than a pure Curve or pure Bid-ask shape.
Model
LP Details
While this is a model with a combination of automations, the automations are still customizable to your liking.
Model Automations
What it does inside this model
Choose the variant based on how wide you want the working range to be, or whether you want the full range to follow price.
Precision Hybrid + Rebalance
Maximize swing trading gains while generating fees with high-frequency liquidity reshaping and price following
What is Precision Hybrid + Rebalance
Precision Hybrid + Rebalance is a HawkFi model variation of Precision Hybrid. It uses the same Precision Hybrid behavior, but adds Ping Pong Auto-rebalance so the full range can follow price instead of relying only on Hybrid reshaping inside one working range.
Use this page for what changes in this variation. For the full model logic, see . For where this model sits in HawkFi docs, see .
Model Overview
Model
LP Details
Best for
Multi-hour to multi-day LPs that want Precision Hybrid fee plus swing trading behavior, but also want the full range to keep following price through larger moves.
Precision Hybrid + Rebalance keeps 50% Spot 50% Bid-Ask liquidity active around active bin (pool price) while Ping Pong rebalance moves the full range.
What stays the same
What changes in Precision Hybrid + Rebalance
Model components
Why it is included
Default Settings
For deeper definitions of AC, RL, AR, and Ping Pong, use .
Precision Hybrid + Rebalance is for people who want the same Precision Hybrid balance between fee generation and swing trading gains, but with full range movement added.
The simple tradeoff is:
Precision Hybrid keeps the range logic centered on Hybrid reshaping.
Precision Hybrid + Rebalance adds Ping Pong AR so the full range can follow price.
Choose this variation when you still want Hybrid behavior, but do not want the model anchored to one original range while price keeps moving.
(Coming soon)
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High Frequency Liquidity (HFL)
Highly concentrated fee generation from tight-range, fast 0-minute swapless auto-rebalances
What is High Frequency Liquidity (HFL) Regular?
High Frequency Liquidity (HFL) Regular is a HawkFi model for people who want highly concentrated fee generation from tight-range, fast 0-minute swapless auto-rebalances.
Model Overview
Model
LP Details
Best for
High-volume pools where concentrated fee generation matters and the LP wants the standard HFL setup before choosing a tighter or wider range variant.
While this is a model with a combination of automations, the automations are still customizable to your liking.
LP effect
Default settings
HFL Regular is the base HFL configuration. It is the first HFL model to use when you want the standard tight-range, fee-focused setup before deciding whether the pool needs a tighter or wider Ping Pong range.
The simple range ladder is:
HFL Regular uses 12-0-12 as the base setup.
HFL Tight changes the range to 6-0-6 for more aggressive concentration.
HFL Wide changes the range to 18-0-18 for more coverage.
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Precision Hybrid Wide
Maximize swing trading gains while generating fees with high-frequency liquidity reshaping and wide coverage
What is Precision Hybrid Wide
Precision Hybrid Wide is a HawkFi model variation of Precision Hybrid. It uses the same Precision Hybrid behavior, but changes the range width from the parent 69-bin setup to 149 bins.
Use this page for what changes in this variation. For the full model logic, see . For where this model sits in HawkFi docs, see .
Model Overview
Model
LP Details
Best for
Multi-hour to multi-day LP that wants the same fee generation plus swing trading behavior as Precision Hybrid, but with 149-bin range coverage instead of the parent 69-bin setup.
What stays the same
What changes in Wide
Model components
Why it is included
Default Settings
For deeper automation mechanics, see or go back to .
Precision Hybrid Wide is for LPs who want the same parent Precision Hybrid behavior, but with 149-bin range coverage.
The simple tradeoff is:
Precision Hybrid is the base parent version at 69 bins.
Precision Hybrid Wide gives more room across the range at 149 bins.
You choose Wide when you still want Precision Hybrid behavior, but do not want the standard 69-bin model width.
(Coming soon)
Join our Discord for questions & discussions on HFL:
(Coming soon)
Multi-day Cook Up (MCU)
Best for multi-hour to multi-day LP in sideways & upward-trending price action
Multiday Cook Up (MCU) Spot is a HawkFi model for LPs who want Spot liquidity, Auto-compound, and up-only Auto-rebalance for sideways or upward-trending price action.
Model
LP Details
Heart Attack Wide
Best for deep price corrections in early & high volume-token launches
Heart Attack Wide is a variant of the HawkFi model for deeper price corrections in early and high-volume token launches.
It gives wider downside coverage for deeper launch corrections with Bid-Ask liquidity and auto-TP to SOL
Model
LP Details
Heart Attack
Best for shallow price corrections in early & high volume-token launches
Heart Attack Tight is a HawkFi model for shallow price corrections in early and high-volume token launches.
Model
LP Details
Multi-day Cook Up (MCU) Curve
Best for multi-hour to multi-day LP in sideways & upward-trending price action that's more aggressive
MCU Curve is a HawkFi model variation of . It uses the same MCU behavior, but changes the liquidity shape from Spot to Curve for denser fee concentration around active bin (pool price).
Model
LP Details
High Frequency Liquidity (HFL) Wide
Balanced HFL with steady fee-generation from tighter ranges and 0-min swapless auto-rebalances
High Frequency Liquidity (HFL) Wide is a HawkFi model variation of . It uses the same HFL behavior, but changes the starting range width to 20 bins and uses Ping Pong Balance 18-18 for more range coverage and less aggressive range-following.
Model
LP Details
High Frequency Liquidity (HFL) Tight
Aggressive HFL with boosted fee-generation from tighter ranges and 0-min swapless auto-rebalances
High Frequency Liquidity (HFL) Tight is a HawkFi model variation of . It uses the same HFL behavior, but changes the Ping Pong range to 6-0-6 for tighter fee concentration and faster range-following.
Model
LP Details
5m volume
Filters signals by recent five-minute volume.
Fees
Filters signals by fee activity.
Flip buffer
Customizable buffer before Precision Flip switches between Precision Curve and Precision Hybrid when price reaches the position edges.
Moves the full LP range upward or downward as the HFL range is exited.
UP & DOWN, 0M COOLDOWN, PING PONG 12-0-12
Stop Loss (SL)
Adds the model downside exit condition.
SL:SOL @ -20% POOL PRICE
How it works
HFL Regular uses SPOT liquidity with AA:SOL, AR UP & DOWN, 0M COOLDOWN, PING PONG 12-0-12, and SL:SOL @ -20% POOL PRICE.
The model keeps a tight Spot range active with fast swapless Ping Pong rebalances as price moves. The 12-0-12 Ping Pong range is the base HFL configuration. HFL Tight and HFL Wide change that range for more aggressive concentration or more coverage.
Free bin initialization fees, covered by HawkFi
Ideal entry
During active sideways price action where fast fee-focused range-following can stay useful
When you want the standard HFL configuration
When you want concentrated fee generation without choosing the tighter or wider HFL variants first
Liquidity shape
Keeps HFL focused on concentrated fee generation around the selected range.
SPOT
Auto-accumulate Fees (AA)
Accumulates earned fees to SOL instead of compounding them into the active position.
AA:SOL
Model Building Blocks
For deeper definitions of AA, AR, Ping Pong, and SL, use Automation Library.
Enhanced multi-hour to multi-day returns from both fee generation and dip or swing trading gains.
How it works
Precision Hybrid keeps a 50/50 hybrid between Spot liquidity and Bid-ask liquidity around the active bin. Spot helps keep liquidity dense near current price for stable fee capture. Bid-ask helps the position stay useful for two-way price movement and swing trading gains.
Free bin initialization fees, covered by HawkFi
Ideal entry
During price corrections: wide, single-side SOL only
Simple why
Use Precision Hybrid when you want one model to do both jobs reasonably well: keep fee capture active near current price while staying positioned for swings.
Reshape Liquidity (RL)
Keeps the Hybrid liquidity shape aligned around the active bin as price moves.
Auto-compound (AC)
Can add earned fees back into the position to keep the model working with a larger base.
Model Building Blocks
For exact automation mechanics, triggers, and configuration depth, use the Automation Library.
Compared with the parent Heart Attack model, Heart Attack Wide shifts the setup into a wider Bid-Ask position so the LP can stay useful through deeper pullbacks and retracement setups.
Take Profit (TP) can close the position at the configured profit target and output to SOL.
Ideal entry
During deeper price corrections: wide, single-side SOL only
While this is a model with a combination of automations, the automations are still customizable to your liking.
Model Automation
LP effect
Default settings
Bid-Ask liquidity shape
Compared with Heart Attack Tight, this variant uses a wider Bid-Ask distribution to place deeper downside bids while keeping asks ready for retracement exits.
Bid-Ask
Take Profit (TP)
Closes the position when the configured Take Profit condition is reached and outputs to SOL.
Heart Attack Wide is for launch conditions where the correction looks deeper than a tight Spot setup can comfortably cover, but the LP still wants a simple model with SOL-denominated exits.
The simple reason to use it: widen the downside coverage versus Heart Attack Tight, keep the model focused on deeper correction entries, then let TP:SOL handle the exit when the configured profit condition is reached.
Keeps the Curve shape active as price moves inside the 250-bin range.
5 BINS
How it works
Precision Curve Ultra Wide keeps Curve liquidity concentrated around the active bin (pool price) with real-time liquidity reshaping, while expanding range coverage from 69 bins to 250 bins.
It keeps the same parent model behavior and included automations, but changes the range width so the position has more room before range management is needed.
*Free bin initialization fees, covered by HawkFi
Ideal entry
During sideways, grinding, or correction price action when the LP still wants Precision Curve behavior, but does not want the tighter 69-bin parent model width.
Same parent model: Precision Curve
Range width changes from 69 bins to 250 bins
Same liquidity shape: Curve
More room before range management is needed
Same included automations: AC and RL
Built for LPs who want the same fee-focused Curve behavior without the standard 69-bin model width
Range width
Differentiates Ultra Wide from the 69-bin parent model.
250 BINS
Liquidity shape
Keeps liquidity concentrated around the active bin.
Multi-hour to multi-day LP that wants the same fee generation plus swing trading behavior as Precision Hybrid, but with 250-bin range coverage instead of the parent 69-bin setup.
How it works
Precision Hybrid Ultra Wide keeps the same 50/50 bid-ask + spot liquidity distribution around the active bin (pool price) with real-time liquidity reshaping, while expanding range coverage from 69 bins to 250 bins.
It keeps the same parent model behavior and included automations, but changes the range width so the position has more room before range management is needed.
Free bin initialization fees, covered by HawkFi
Ideal entry
During price corrections, volatile chop, or wider sideways ranges when the LP still wants Precision Hybrid behavior, but does not want the tighter 69-bin parent model width.
Same parent model: Precision Hybrid
Range width changes from 69 bins to 250 bins
Same liquidity shape: 50% Spot 50% Bid-Ask
More room before range management is needed
Same included automations: AC and RL
Built for LPs who want the same Hybrid behavior without the standard 69-bin model width
Liquidity shape
Keeps the parent model's balance between fee capture near current price and swing trading exposure across the range.
50% SPOT 50% BID-ASK
Auto-compound (AC)
Keeps earned fees or rewards working back into the position.
This variation adds AR with UP & DOWN, 0M COOLDOWN, PING PONG 68-0-68, so the full range can move in either direction.
Reshape Liquidity (RL)
Keeps the Hybrid distribution aligned around active bin (pool price) while the position remains in range.
34 BINS
Auto-rebalance (AR)
Adds full range movement so the model can keep following larger price moves.
UP & DOWN, 0M COOLDOWN, PING PONG 68-0-68
How it works
Uses the parent Precision Hybrid setup, then adds Auto-rebalance with UP & DOWN, 0M COOLDOWN, PING PONG 68-0-68. RL keeps the 50% Spot 50% Bid-Ask liquidity distribution aligned around active bin (pool price), while AR can move the full range when the rebalance condition is met.
Ideal entry
Markets where the LP still wants Hybrid fee plus swing trading exposure, but expects price to move far enough that a fixed range may become less useful.
Hybrid liquidity shape
The position still uses 50% SPOT 50% BID-ASK to balance fee capture with swing trading exposure.
Reshape Liquidity
RL still uses 34 BINS as the visible model default for Hybrid reshaping.
Auto-compound
AC remains included so earned fees or rewards can compound back into the position.
Liquidity shape
Keeps the parent model's balance between fee capture near current price and swing trading exposure across the range.
50% SPOT 50% BID-ASK
Auto-compound (AC)
Keeps earned fees or rewards working back into the position.
Keeps the Hybrid distribution aligned around active bin (pool price) while the position remains in range.
74 BINS
How it works
Precision Hybrid Wide keeps the same 50/50 bid-ask + spot liquidity distribution around the active bin (pool price) with real-time liquidity reshaping, while expanding range coverage from 69 bins to 149 bins.
It keeps the same parent model behavior and included automations, but changes the range width so the position has more room before range management is needed.
Free bin initialization fees, covered by HawkFi
Ideal entry
During price corrections, volatile chop, or wider sideways ranges when the LP still wants Precision Hybrid behavior, but does not want the tighter 69-bin parent model width.
Same parent model: Precision Hybrid
Range width changes from 69 bins to 149 bins
Same liquidity shape: 50% Spot 50% Bid-Ask
More room before range management is needed
Same included automations: AC and RL
Built for LPs who want the same Hybrid behavior without the standard 69-bin model width
Liquidity shape
Keeps the parent model's balance between fee capture near current price and swing trading exposure across the range.
50% SPOT, 50% BID-ASK
Auto-compound (AC)
Keeps earned fees or rewards working back into the position.
How many live bid and ask orders the configuration keeps open. More orders create a wider quote ladder.
Inventory Split
The target balance between base and quote inventory. More base supports asks. More quote supports bids.
Unfilled Replace Interval
How long stale unfilled quotes can remain before being replaced. Faster refresh reacts faster but creates more activity.
Max Open Order Notional
The maximum open order notional used by the simulated configuration.
Spread Factor
Scales quote distance. Lower values are tighter and more fill-seeking. Higher values are wider and more selective.
Adaptive Spread
Allows quote placement to adjust as market conditions change.
EV Gate
Turns expected-value gating on or off before placing size.
Requote on Fill
Refreshes quote placement after a fill.
Slippage BPS
Sets the slippage assumption in basis points.
Spread Bins
Sets the starting quote distance from price in DLMM bins.
Level Spacing Bins
Controls spacing between quote levels when using multiple bids and asks.
Stoikov gamma (experimental)
Shifts the bid and ask quote center away from excess inventory. Off preserves the existing quote center; higher values create a stronger shift.
Stoikov gamma (experimental) ranges from Off to 1.0 and is off by default. It changes quote prices, while inventory skew changes side sizes. Use candle simulation for positive gamma values. Event-Driven (BETA) currently supports gamma 0 only.
These settings map into the same configuration families used by the Market Making Agent:
Setting group
What it controls
Placement
Where quotes sit around price and how they respond when conditions change.
Signals
Whether current price action is clean enough to quote or should be treated more carefully.
Momentum
Protection from one-sided or fast-moving price action.
Want to learn more about Market Making Agent Advanced Settings? See Advanced Settings here.
Searches a faster set of candidate configurations.
Deep
Searches a wider set of candidate configurations and can take longer.
Ultra Deep
Searches the widest candidate set. This option requires at least $500 total agent balance for Market Making optimization.
Optimization can evaluate Stoikov gamma values of 0, 0.5, and 1 alongside the other candidate settings.
Open Advanced in the optimization modal to adjust the exploration percentage for each optimize depth. Exploration controls how much of the fixed optimization budget is reserved for newer or less common candidate strategies before Laboratory runs the backtests.
Exploration control
Default
Light Exploration %
20%
Deep Exploration %
25%
Ultra Deep Exploration %
35%
A higher exploration percentage tests more uncommon candidate setups. A lower exploration percentage keeps more of the budget focused on known-good candidate regions. The control only changes the candidate mix for the current optimization request; it does not change saved Execution Model settings or live Market Making Agent execution.
appears before
Optimize
. Use
Save Model
when you want to preserve a configuration for later use, when that workflow is supported.
The largest peak decline during the backtest.
Cumulative Fees
The fees accumulated by the simulated setup, when enabled.
Rebalance
Markers showing where the configuration refreshed quotes or rebalanced.
Rebalances
The total number of quote refresh or rebalance events during the simulation.
LO Fees
Limit Order fee value shown by the simulation.
Quote Update Cost
Modeled operational cost for quote updates.
Final Inventory
Final inventory bias after the simulation. Use this to check whether PnL came with unwanted inventory drift.
Open Order Notional
Open order notional usage in the simulated configuration.
Spread Bins
Quote spread distance relative to the maximum spread setting.
Stoikov offset
The latest simulated shift applied to the quote center, measured in DLMM bins. A value of 0 bins means no Stoikov shift is active at that point.
Fill Model
Shows how Laboratory determines whether a simulated quote fills, including the candle price range, required fill-through distance, and maximum fills allowed per candle.
Suppressed Fills
The number of potential fills excluded by the simulation's fill limits. Suppressed fills do not affect simulated PnL, inventory, turnover, or equity.
Peak Fill Density
The highest number of simulated fills recorded within rolling 30-minute, 60-minute, 4-hour, and 24-hour periods.
Fills / Day
The average number of simulated fills per day during the selected backtest window.
60m
Mean net markout sixty minutes after fills.
120m
Mean net markout one hundred twenty minutes after fills.
Liquidity Mode
The internal simulation mode used to process the backtest.
Range
The simulated quote or range area at that moment.
Price
The pool price at that moment.
Event
The current replay event count or state.
Pair
SOL USDC
Base fee
0.04%
Bin step
4
Inventory Utilization
How much of the available capital can sit in live quotes. Higher usage can create more fill opportunity and more inventory risk.
The result from holding one side of the pair, when available.
Cumulative Fees
The fees accumulated by the simulated setup, when enabled.
Rebalance
Markers showing where the strategy rebalanced, when rebalances occurred.
Rebalances
The total number of rebalances during the simulation.
Liquidity Mode
The internal simulation mode used to process liquidity behavior.
Range
The simulated position range at that moment.
Price
The pool price at that moment.
Event
The current replay event count or state.
Pair
SOL USDC
Base fee
0.04%
Bin step
4
Set Start and End
Set Initial USDC
Optimize!
Optional: Configure Strategy
Option 1: Create from scratch
Run Backtest
Ideal entry
- Sideways price with upward bias: double-sided MCU Spot
- Steady uptrend: double-sided or token-heavier MCU Spot
- Temporary dips inside a broader uptrend: MCU Spot when the LP does not want automatic downside range resets
While this is a model with a combination of automations, the automations are still customizable to your liking.
Model Automations
LP effect
Default settings
Liquidity shape
Uses Spot liquidity across the selected range.
SPOT
Auto-compound (AC)
Compounds earned fees back into the active position.
AC
Use MCU Spot when you want a slower, longer-horizon LP model that can follow upward price movement without automatically chasing every downside move.
The simple idea is:
Spot liquidity gives broad participation across the selected range.
AC keeps generated fees active inside the position.
Up-only AR lets the range move higher when price trends up.
Multi-hour to multi-day LP when the LP wants Spot liquidity with directional, up-only range management.
How it works
What is Multiday Cook Up (MCU) Spot
Model Overview
MCU Spot starts with Spot liquidity across the selected range. Auto-compound keeps earned fees working inside the position, while Auto-rebalance can move the full range upward when the up-only condition is met.
The model is built to keep participating when price moves higher, while avoiding automatic downward rebalances during temporary dips.
Model Building Blocks
For deeper automation mechanics, see the , , and .
Why use Multiday Cook Up (MCU) Spot
Variants of this Model
Tutorial Videos & Case Studies
More Questions?
More Infographics
Ideal entry
During shallow price corrections: tight, single-side SOL only
While this is a model with a combination of automations, the automations are still customizable to your liking.
Model Automation
LP effect
Default settings
Spot liquidity shape
Tight-range Spot liquidity keeps capital concentrated near current price for quick fee generation during shallow corrections.
Spot
Take Profit (TP)
Closes the position when the configured Take Profit condition is reached and outputs to SOL.
TP:SOL, 7% profit, customizable
Heart Attack Tight is for launch conditions where price pulls back, volume is still active, and the LP wants a tight Spot position instead of a wider defensive setup.
The simple reason to use it: keep the setup focused on shallow correction fee generation, then let TP:SOL handle the exit when the configured profit condition is reached.
Shallow price corrections in early and high-volume token launches where fast LP entry and a tight Spot range matter more than wide downside coverage.
How it works
What is Heart Attack Tight
Model Overview
Heart Attack Tight is a HawkFi model that uses a tight-range Spot position to keep liquidity near the active price for quick fee generation during shallow corrections.
Take Profit (TP) can close the position at the configured profit target and output to SOL.
Model Building Blocks
For deeper automation mechanics, see the .
Why use Heart Attack Tight
Variants of this Model
Tutorial Videos & Case Studies
More Questions?
More Infographics
MCU Curve keeps the parent MCU setup of AC plus AR Up Only with 10m cooldown and in-range buffer, but changes the liquidity shape to Curve.
That means the range behavior stays the same as MCU, while liquidity inside the range becomes more concentrated around active bin (pool price).
Free bin initialization fees, covered by HawkFi
Ideal entry
Sideways to upward-trending price action when the LP wants MCU's slower, up-only range management, but wants denser fee concentration than the Spot variation.
MCU Curve keeps the same up-only MCU range behavior, but uses Curve liquidity for denser fee concentration around active bin.
What stays the same
What changes in MCU Curve
Same parent model: Multiday Cook Up (MCU)
Liquidity shape changes from Spot to Curve
Same included automations: AC and AR Up Only
Liquidity becomes more concentrated around active bin (pool price)
Same range behavior: 10m cooldown, +-15%*, in-range buffer
Built for LPs who want the same MCU range logic with denser fee concentration inside the range
Model components
Why it is included
Default Settings
Liquidity shape
Changes the parent Spot distribution into a more concentrated liquidity profile around active bin (pool price).
CURVE
Auto-compound (AC)
Keeps earned fees or rewards working back into the position.
Multi-hour to multi-day LP that wants the same up-only MCU range behavior, but with more concentrated liquidity around active bin (pool price) than MCU Spot.
What is MCU Curve
Use this page for what changes in this variation. For the full model logic, see Multiday Cook Up (MCU). For where this model sits in HawkFi docs, see Models.
HFL Wide keeps the parent HFL setup of SPOT liquidity, AA:SOL, AR UP & DOWN, 0-minute swapless Ping Pong Auto-rebalance, and SL:SOL @ -20% POOL PRICE.
The variation changes the starting range width to 20 BINS and uses PING PONG BALANCE 18-0-18, giving the position more room before the full LP range is moved upward or downward.
Free bin initialization fees, covered by HawkFi
Ideal entry
- During active sideways price action where wider HFL coverage can stay useful
- When the LP wants the same HFL setup with less aggressive range-following than HFL Tight or HFL Regular
- When broader range coverage matters more than the tightest model fee concentration
What stays the same
What changes in Wide
Same parent model: High Frequency Liquidity (HFL)
Starting range width changes to 20 BINS
Same liquidity shape: SPOT
Ping Pong Balance uses 18-0-18
Same included automations: AA, AR, and SL
Broader range coverage than HFL Regular at 14 BINS and HFL Tight at 8 BINS
While this is a model variation with a combination of automations, the automations are still customizable to your liking.
Model Components
LP effect
Default settings
Liquidity shape
Keeps HFL focused on concentrated fee generation around the selected range.
SPOT
Auto-accumulate Fees (AA)
Accumulates earned fees to SOL instead of compounding them into the active position.
Use this page for what changes in this variation. For the full model logic, see High Frequency Liquidity (HFL). For where this model sits in HawkFi docs, see Models.
High-volume pools where the LP wants the same HFL behavior as the parent model, but with more range coverage than HFL Regular or HFL Tight.
Image
What changes from High Frequency Liquidity (HFL)?
Model Building Blocks
Why choose HFL Wide?
Related pages
Tutorial Videos & Case Studies
More Questions?
More Infographics
How it works
HFL Tight keeps the parent HFL setup of SPOT liquidity, AA:SOL, AR UP & DOWN, 0-minute swapless Ping Pong Auto-rebalance, and SL:SOL @ -20% POOL PRICE.
The variation changes the Ping Pong range to 6-0-6, making it the tightest HFL model range for more aggressive fee concentration near the active bin (pool price).
Free bin initialization fees, covered by HawkFi
Ideal entry
- During active sideways price action where tight fee concentration can stay useful
- When the LP wants HFL behavior with the tightest model Ping Pong range
- When more aggressive range-following matters more than broader range coverage
What stays the same
What changes in Tight
Same parent model: High Frequency Liquidity (HFL)
Starting range width changes to 8 BINS
Same liquidity shape: SPOT
Ping Pong range changes to 6-0-6
Same included automations: AA, AR, and SL
Built for LPs who want the most aggressive HFL model range
While this is a model variation with a combination of automations, the automations are still customizable to your liking.
Model Components
LP effect
Default settings
Liquidity shape
Keeps HFL focused on concentrated fee generation around the selected range.
SPOT
Auto-accumulate Fees (AA)
Accumulates earned fees to SOL instead of compounding them into the active position.
High-volume pools where the LP wants the most aggressive HFL range concentration instead of the base HFL Regular setup or the wider HFL Wide setup.
What is HFL Tight
Use this page for what changes in this variation. For the full model logic, see High Frequency Liquidity (HFL). For where this model sits in HawkFi docs, see Models.
Move your position in range to earn fees with swap-based rebalance
What is Swapless Rebalance?
Swapless Rebalance is the HawkFi Auto-rebalance (AR) type that moves the position range while keeping original assets intact for another range.
How does Swapless Rebalance work?
Swapless Rebalance closes or adjusts the old range and opens a new range without using any swaps.
Swapless Rebalance Modes
Mode
Example
What it controls
UI field
Example
What it controls
Heart Attack Ping Pong (Bid-Ask-Flip)
Best for deep price corrections and retracment in early & high volume-token launches
What is Heart Attack Ping Pong (Bid-Ask-Flip)
Heart Attack Ping Pong (Bid-Ask-Flip) is a HawkFi model variation of the HawkFi Heart Attack model. It uses the same Heart Attack correction and retracement logic, but adds automations to flip liquidity once conditions are met.
Use this page for what changes in this variation. For the full parent model logic, see . For where this model sits in HawkFi docs, see .
Model Overview
Model
LP Details
Best for
Deep correction and retracement setups in early and high-volume token launches, where the position may need to move lower before the bounce setup plays out.
What stays the same
What changes in Heart Attack Ping Pong
While this is a model variation with a combination of automations, the automations are still customizable to your liking.
Model components
Why it is included
Default Settings
For deeper automation mechanics, see the .
Heart Attack Ping Pong is for launch conditions where the correction may be too deep or too fast for the simpler Heart Attack versions.
The simple tradeoff is:
Heart Attack Tight keeps the setup simpler and tighter for shallow corrections.
Heart Attack Wide adds wider Bid-Ask coverage for deeper corrections.
Heart Attack Ping Pong adds down-only Ping Pong AR plus SL:SOL when the setup needs the range to keep moving lower and still preserve SOL-denominated exits.
(Coming soon)
Join our Discord for questions & discussions on HFL:
(Coming soon)
Reshape Liquidity (RL)
Concentrate liquidity to maximize fee-generation or swing trading gains
What is Reshape Liquidity (RL)?
Reshape Liquidity (RL) is a HawkFi automation that dynamically reshapes your liquidity distribution to stay concentrated around the active bin as price moves within your range.
How does Basic Reshape Liquidity (RL) work?
Reshape Liquidity (RL) auto reshapes liquidity when the active bin, or pool price, moves beyond the configured trigger bins.
Example: when the pool price moves beyond 5 bins, your position's liquidity distribution will be auto reshaped to Curve.
Reshape Liquidity Basic Customizations:
Customize
What it controls
Advanced RL adds shape flipping near the edge of the position.
Customize
Example
What it controls
Strategy
How RL Behaves
What is it trying to do?
Auto-rebalance (AR)
Strategically auto-adjusts the distribution of assets
What is Auto-rebalance (AR)?
Auto-rebalance (AR) is a HawkFi automation that strategically adjusts the distribution of assets between different tokens in a pool to maintain an optimal position within the market’s price range.
How does Basic Auto-rebalance (AR) work?
Auto-rebalance (AR) closes or adjusts the old range and opens a new range based on the selected rebalance type and mode.
Auto-rebalance (AR) types
Type
What it does
Go deeper
These settings can apply across AR setups depending on the selected type and mode.
UI field
Example
What it controls
Strategy
What AR is used
How AR behaves
Goal
Take Profit (TP)
Automatically close your position when your profit target is reached
What is Take Profit (TP)?
Take Profit (TP) is a HawkFi automation that automatically closes your position once a specific profit target is reached.
How does Basic Take Profit (TP) work?
Take Profit (TP) monitors your selected trigger and closes the position when the configured profit condition is met.
Example: if your Pool Price TP Trigger is reached, HawkFi 100 percent of assets, claim fees and rewards, close the position, and send the assets to your HawkFi wallet.
Take Profit (TP) Customizations
Take Profit settings define the trigger, slippage, and asset handling after the position closes.
TP Trigger Customizations:
TP Trigger
Example
What it controls
TP output
Example
What it controls
Customization
Strategy
How TP behaves
Goal
Ping Pong Auto-rebalance
Advanced swapless Auto-rebalance behavior for alternating range movement
What is Ping Pong?
Ping Pong is a HawkFi Advanced swapless Auto-rebalance (AR) mode that alternates rebalance behavior between two configured directions or ranges.
How does Ping Pong work?
Ping Pong uses swapless Auto-rebalance (AR) to move the position between two configured sides instead of only following one continuous rebalance direction.
Example: after one side of the setup is reached, HawkFi can move the range according to the next configured Ping Pong behavior.
Ping Pong Customizations
Customization
Example
What it controls
Ping Pong customizations should be filled from the current Ping Pong UI once the screenshot is added.
Auto-compound (AC)
Automatically reinvest earned fees or rewards back into your position
What is Auto-compound (AC)?
Auto-compound (AC) is a HawkFi automation that automatically reinvests trading volume fees or rewards back into your position.
How does Basic Auto-compound (AC) work?
Auto-compound (AC) reinvests earned fees or rewards back into your liquidity position when the compounding condition is met.
Example: when your earned $50 in fees, HawkFi will add back those fees back into the position instead of leaving them idle.
Auto-compound (AC) Customizations
Customization
Example
What it controls
Strategy
How AC behaves
HawkFi vs Manual LP
If you already know how to LP, HawkFi MAXIMIZES your fees & trading gains for you
Understand how HawkFi dominates fees & swing trading gains over manual liquidity providers, with high-frequency alpha strategies
HawkFi
Manual LP
Referral Program
HawkFi referral codes live inside the connected wallet menu. Connect your wallet, open the wallet dropdown, then choose Referral to view your referral code.
Share your referral code: Copy your code from the Referral flyout and share it with friends or communities.
Use a referral code: If you receive a HawkFi referral code, enter it through the same referral flow after connecting your wallet.
Stop Loss (SL)
Automatically close your position when your downside condition is reached
Stop Loss (SL) is a HawkFi automation for risk management that automatically closes your position to prevent further losses once a specific price level is reached
Stop Loss (SL) monitors your selected trigger and closes the position when the configured downside condition is met.
Take Profit settings define the trigger, slippage, and asset handling after the position closes.
UI field
Example
What it controls
Auto-accumulate fees (AA)
Automatically collect earned fees into your HawkFi wallet
Auto-accumulate Fees (AA) is a HawkFi automation that strategically lets you accumulate fees into your HawkFi wallet.
Auto-accumulate Fees (AA) claims earned fees and swaps them into the selected token when the accumulation condition is met.
Example: when your position earns $50 in fees, HawkFi will claim and swap those fees to SOL or USDC in your HawkFi wallet instead of adding them back into the position.
Customization
What it Controls
Tutorial Library
Watch HawkFi tutorial videos and open the related product documentation when you need more detail.
Watch all HawkFi tutorial videos on this page. Each video includes a link to the relevant product documentation when you want to read more.
Learn how to test and optimize Market Making Agent configurations in HawkFi Laboratory before using the setup in live execution.
Read more:
Learn how to create a Market Making Agent, choose the setup inputs, and prepare the agent before launch.
Read more:
Learn how quote behavior, market conditions, and configuration choices affect Market Making Agent results.
Precision Curve + Rebalance
2x more concentrated fee-generation with high-frequency liquidity reshaping and
Precision Curve + Rebalance is a HawkFi model variation of . It uses the same Precision Curve behavior, but adds Ping Pong Auto-rebalance so the full range can follow price instead of staying fixed.
Model
LP Details
Move from Backtest to Live
Turn a HawkFi Laboratory result into a more deliberate live setup without treating the backtest as a promise.
HawkFi Laboratory helps you test liquidity behavior, model settings, and Market Making Agent mechanics before using live capital.
A backtest shows how a setup behaved during the selected historical period. It does not predict future returns.
Keep the pool, historical window, and deposit amount consistent while comparing configurations. This makes it easier to understand what changed.
If you tested
Review before going live
How to reduce IL
High Frequency LP gives turbo fee-generation, but there is always Impermanent Loss (IL), and there is no avoiding it in liquidity providing. The goal is to OUTPRINT IL, while mitigating IL. Here’s how:
Wider LP ranges
High Frequency Liquidity prints hard from tight real-time rebalancing LPs. You can mitigate IL by setting slightly wider ranges. Tradeoff is less concentrated (but possibly more sustainable) fee generation.
Use HawkFi Docs with AI
Give ChatGPT, Claude, or another AI system direct access to HawkFi's canonical public documentation.
HawkFi keeps one public documentation source for people and AI systems.
The task guides help readers start quickly. The detailed Models, Agents, Laboratory, automation, fee, and risk pages remain the canonical reference when a question needs more depth.
Use case
Open
AC
Auto-rebalance (AR)
Keeps the same parent MCU behavior of moving the range upward when the rebalance condition is met, without automatically following downside moves.
UP ONLY, 10M COOLDOWN, +-15%*, IN-RANGE BUFFER
Auto-rebalance (AR)
Moves the full LP range upward or downward as the HFL range is exited.
UP & DOWN, 0M COOLDOWN, STARTING RANGE 20 BINS, PING PONG BALANCE 18-18
Set how many bins the position uses below and above the current price.
Total Number of Bins
The total simulated position width.
AR Cooldown
Wait before AR can trigger again
Controls how soon Up or Down, Up only, or Down only can trigger again after a rebalance.
Fixed Schedule
Rebalance every 2 hours
Rebalances based on a schedule while avoiding swaps.
Up or Down
Rebalance up or down after 10 minute cooldown
Lets the range follow price in both directions without swapping.
Up only
Rebalance up after 10 minute cooldown
Lets the range follow upward price movement without swapping.
Down only
Rebalance down after 10 minute cooldown
Lets the range follow downward price movement without swapping.
Auto-Rebalance Deposit Slippage
Configured deposit slippage
Sets the slippage limit used when AR deposits into the new position.
Liquidity Shape on Rebalance
Spot, Curve, Bid-Ask, Hybrid
Sets the liquidity shape used after the rebalance.
Swapless Rebalance Technical Customizations
How is Swapless Rebalance different from Swapped Rebalance?
Swapless Rebalance moves the position range without performing a swap. Swapped Rebalance may use swaps during the rebalance process.
When does Rebalance Buffer apply?
Rebalance Buffer applies to Swapless Fixed Schedule.
Total bins if AR down
68 bins
Sets the total number of bins used when the position goes out of range below and AR down succeeds.
Spread
0-bin spread
Sets how far the new range is placed from the effective price after rebalance.
Total bins if AR up
68 bins
Sets the total number of bins used when the position goes out of range above and AR up succeeds.
FAQs for Ping Pong
How is Ping Pong different from swapped Auto-rebalance (AR)
Swapped Auto-rebalance use swaps to match the required deposit ratio when moving the position range. Ping Pong uses swapless AR behavior and alternates the position range between two configured sides without swapping assets.
Is Ping Pong Swapless Auto-rebalance (AR)
Yes. Ping Pong is an Advanced version of swapless Auto-rebalance (AR). It uses swapless rebalance mechanics, but adds the Ping Pong range logic for AR up and AR down behavior.
Thinner pools where fills are noisier and inventory can drift quickly.
Starts closer but adds stronger protection against noisy flow.
Meme-Cap
Very thin, speculative, or micro-cap pools, including examples such as CARDS, PUMP, or PUMPCADE.
The most defensive visible model, with fewer expected fills.
EV Gate
Whether the configuration requires more expected edge before taking risk.
Sizing
How much size the configuration can place on each side.
Requote
When old quotes should be replaced.
Auto-Rebalance Swap Slippage
Dynamic, max 5% slippage
Sets the swap slippage limit when Auto-swap is used.
AR Cooldown
1 hour
Controls how soon AR can trigger again after a directional rebalance. Current UI supports 0 minutes to 24 hours.
Rebalance Buffer
None, Price, or Time
Adds an optional buffer condition before AR executes.
AR can move the full range when the selected rebalance rule is met.
Keep the Curve position working near the active bin.
HFL
Ping Pong Auto-rebalance
AR can move the range frequently as price moves.
Keep a tight range active near current price.
MCU
Swapped Auto-rebalance
AR can move the range based on directional or timing rules.
Support longer timeframe directional LP management.
Swapped Rebalance
Moves the position range and uses swaps during the rebalance process.
Controls whether HawkFi swaps assets to match the required deposit ratio or keeps withdrawn assets intact for deposit.
Auto-Rebalance Deposit Slippage
3% slippage
Sets the slippage limit used when AR deposits into the new position.
Precision Hybrid + Rebalance
Ping Pong Auto-rebalance
AR can move the full range while Hybrid manages shape exposure.
Keep the Hybrid position active as market conditions move.
Precision Curve + Rebalance
Auto-rebalance (AR) Shared Customizations
How Auto-rebalance (AR) behaves per strategy
FAQs for Auto-rebalance (AR)
How is Auto-rebalance different from Reshape Liquidity (RL)?
Auto-rebalance moves the full position range. Reshape Liquidity keeps the range fixed and reshapes liquidity inside that range.
Use AR when the position range itself needs to move. Use RL when the range should stay fixed but the liquidity shape needs to stay useful around the active bin.
How should I choose between Swapped and Swapless Rebalance?
Use Swapped Rebalance when you want to do traditional rebalance with swaps. Use Swapless Rebalance when you want to save on swap fees.
Does Auto-rebalance guarantee better returns?
Auto-rebalance helps keep the position range closer to the active bin when the configured condition is met. It optimizes positions earn more fees, but results still depend on market conditions, volume, price movement, and strategy setup.
Ping Pong Auto-rebalance
Triggers TP when the combined position balance and unclaimed fees reach the configured value.
Market cap
Token Market cap reaches $10M
Triggers TP when Token market cap reaches the configured target.
Position age
Position closes after 24 hours
Triggers TP when the position has met configured amount of time.
PnL (USD)
USD PnL reaches 7%
Triggers TP when position PnL reaches the configured positive percentage measured in USD.
PnL (SOL)
SOL PnL reaches 7%
Triggers TP when position PnL reaches the configured positive percentage measured in SOL.
Swap to USDC
Convert assets to USDC
Closes the position, swaps the assets to USDC, and sends them to your HawkFi wallet.
Pool price
Pool price reaches 0.08
Triggers TP when the pool price reaches the configured target.
Position balance
Position value reaches $1,000
Triggers TP when the position balance reaches the configured value.
Unclaimed fees
Unclaimed fees reach $50
Triggers TP when unclaimed fees reach the configured value.
Balance + unclaimed fees
No Swap
Keep assets as-is
Closes the position and sends the assets to your HawkFi wallet without swapping them.
Swap to SOL
Convert assets to SOL
Closes the position, swaps the assets to SOL, and sends them to your HawkFi wallet.
TP Trigger
Selects which condition HawkFi watches to decide when Take Profit should execute.
Take Profit Slippage
Sets the slippage limit used when TP closes the position and performs any selected swap.
Heart Attack
Closes the position when the position is 7% in PnL
Lock in gains from a quick-fee genearation position.
When a USD or SOL PnL trigger is saved in a custom model, HawkFi keeps the configured percentage and calculates the position-specific target from the deposit when the model is applied.
TP Output Customizations:
TP Technical Customizations:
When TP is triggered, HawkFi withdraws 100 percent of assets, claims fees and rewards, and closes the position. Rent is refunded to the connected wallet.
How Take Profit (TP) behaves per strategy
FAQs for Take Profit (TP)
Does Take Profit guarantee profit?
Take Profit helps you automate your exit when your configured profit condition is reached, and helps you secure profit.
How is it different from Auto-accumulate Fees (AA)?
Take Profit is for closing the full position after a target is reached. Auto-accumulate Fees is for keeping the position open while collecting earned fees into your HawkFi wallet.
Use Take Profit when the goal is to exit. Use Auto-accumulate Fees when the goal is to keep LPing while separating fees earned from the position.
Combined value reaches $1,050
Take Profit (TP)
Closes the position into SOL when the configured profit condition is reached.
TP:SOL, 7% profit, customizable
Stop Loss (SL)
Closes the position into SOL if the configured pool price dip condition is reached.
Compared with the parent Heart Attack model, this variation uses Bid-Ask liquidity plus down-only Ping Pong AR with a 69-0-69 range setup.
The variant keeps the Heart Attack focus on launch correction entries, but adds range movement lower, TP:SOL for profit exits, and SL:SOL for pool price dip protection.
Ideal entry
During deep launch corrections with expected retracement: wide, single-side SOL only
Still belongs to the Heart Attack model family for early, high-volume token launch corrections and retracements.
Adds down-only Ping Pong AR so the working range can reset lower when the correction continues.
Still uses SOL-denominated exits as the clean model outcome.
Adds both TP:SOL and SL:SOL, so the variant has a profit-taking exit and a pool price dip protection exit.
Still targets correction entries where single-side SOL can be deployed into a launch pullback.
Uses Bid-Ask liquidity with a 69-0-69 Ping Pong setup, making it more directional and more defensive than the simpler Heart Attack variants.
Bid-Ask liquidity shape
Places directional liquidity for deeper correction and retracement setups.
Bid-Ask
Auto-rebalance (AR)
Lets the variant keep following downside continuation instead of staying fixed at the first range.
Reshapes liquidity back into the selected Bid Ask shape.
Note: Allowed Bin Movement determines how frequently RL reshapes your liquidity. A lower number reshapes more aggressively for tighter concentration. A higher number reshapes less frequently and can fit wider ranges or lower maintenance positions.
Reshape Liquidity Advanced Customizations:
How Reshape Liquidity (RL) behaves per strategy
FAQs for Reshape Liquidity (RL)
How is it different from Auto-rebalance (AR)?
Unlike the HawkFi Auto-rebalance (AR) automation, Reshape Liquidity (RL) keeps your range fixed and reshapes the liquidity within it. This helps maximize fee capture without triggering unnecessary rebalances that can increase IL exposure.
Automation
What changes
Adapt the Hybrid shape as price moves through volatility.
Rebalancing
Always in-range to generate fees, with 0-minute rebalances
Manual wallet interactions to constantly rebalance or miss out on fees
Liquidity shape
Maximize fee capture with high-frequency liquidity reshapes to concentrate capital around active bins
Static shape — drifts away from active bin as price moves, reducing fee efficiency
⭐️ Bin initialization fees
Free — covered by HawkFi
Paid by you on every new position
Fee compounding
Auto-compound (AC) reinvests fees to grow your position and accelerate returns
Manual claim, manual re-deposit — fees sit idle until you act
Strategy per market condition
Dedicated strategies for high-volume, high-volatility, and mixed markets — every condition has a playbook
One static setup regardless of whether the market is trending, ranging, or volatile
Risk management
Built-in Stop Loss (SL) and Take Profit (TP) — downside protection and earnings targets on autopilot
Manual monitoring; you need to be watching to react
Market
HawkFi
Manual LP
High volume
Price trending up
HFL — always in-range with >7x fee concentration; captures every move on the way up
Manually rebalance to chase price; miss fees during every gap
High volume
Price sideways
Precision Curve — RL reshapes liquidity to print ~2x more fees across the same range
Static shape earns baseline fees; liquidity drifts from optimal distribution
Smart automation
Description
Auto-compound (AC)
Fees automatically reinvested → position grows, returns compound
Auto-accumulate SOL (AA)
Fees claimed and converted to SOL → protects against token price decline
Auto-rebalance (AR)
Swap or Swapless
0-minute rebalances to stay in-range continuously. Configurable: swapless or swapped, Ping Pong (follow active bin), directional (up-only, down-only, or both), custom range width after rebalance
Fee concentration
Up to 7x more fees (HFL), or 2x more fees (Precision) with high frequency rebalance/reshape
At a glance
1x baseline fee
Targeted strategies for every Market Scenario
Build your own strategy, with smart & high-performance machine execution
HawkFi Referral Program
The old standalone HFI points pill is no longer shown in the main navigation. Referral access now starts from the wallet dropdown.
Pool price
Pool price falls to 0.05
Triggers SL when the pool price reaches the configured loss target.
Position balance
Position value falls to $700
Triggers SL when the position balance reaches the configured value.
Unclaimed fees
Unclaimed fees fall below the configured threshold
Triggers SL when unclaimed fees reach the configured value.
Balance + unclaimed fees
UI field
Example
What it controls
No Swap
Keep assets as-is
Closes the position and sends the assets to your HawkFi wallet without swapping them.
Swap to SOL
Convert withdrawn assets to SOL
Closes the position, swaps the assets to SOL, and sends them to your HawkFi wallet.
UI field
Example
What it controls
SL Trigger
Pool price
Selects which condition HawkFi watches to decide when Stop Loss should execute.
Stop Loss Slippage
Fixed at 3 percent
Sets the slippage limit used when SL closes the position and performs any selected swap.
Strategy
How SL behaves
Goal
Heart Attack
Closes the position when the position reaches -20% PnL
Exit when the SL rule is reached.
What is Stop Loss (SL)?
How does Basic Stop Loss (SL) work?
Stop Loss (SL) Customizations
SL Trigger Customizations
When a USD or SOL PnL trigger is saved in a custom model, HawkFi keeps the configured percentage and calculates the position-specific target from the deposit when the model is applied.
SL Output Customizations
SL Technical Customizations
How Stop Loss (SL) behaves per strategy
FAQs for Stop Loss (SL)
Does Stop Loss remove market risk?
Stop Loss helps automate your exit when your configured downside condition is reached. It does not remove market risk, but it helps execute risk-management to close once your SL rule is hit.
How is it different from Take Profit (TP)?
Take Profit closes the position when an upside target is reached. Stop Loss closes the position when a downside condition is reached.
Both use similar trigger, output, and technical settings. The main difference is the intent of the exit.
Claim and Swap to SOL
Automatically claim fees and swap to SOL, which you can then claim in Your HawkFi Wallet
Claim and Swap to USDC
Automatically claim fees and swap to USDC, which you can then claim in Your HawkFi Wallet
Strategy
How AA behaves
Goal
HFL
Claims and swaps earned fees from the concentrated LP position when enabled.
Accumulate fees separately from a concentrated range strategy.
What is Auto-accumulate Fees (AA)?
How does Basic Auto-accumulate Fees (AA) work?
Auto-accumulate Fees (AA) Customizations
How Auto-accumulate Fees (AA) behaves per strategy
FAQs for Auto-accumulate Fees (AA)
How is it different from Auto-compound (AC)?
Auto-accumulate Fees (AA) claims and swaps earned fees into your HawkFi wallet. Auto-compound (AC) adds earned fees or rewards back into the position instead.
Automation
What happens to the Fees
Best used when
Does Auto-accumulate Fees help you profit?
Sort of. Auto-accumulate Fees can act like automated fee taking because it secures earned fees and redirects them into your HawkFi wallet, but market conditions, price movement, volume, and strategy setup still matter.
Uses the parent Precision Curve setup, then adds Auto-rebalance with UP & DOWN, 0M COOLDOWN, PING PONG 68-0-68. RL keeps Curve liquidity concentrated around active bin (pool price), while AR can move the full range when the rebalance condition is met.
Ideal entry
Markets where the LP still wants Curve concentration near current swap flow, but expects price to keep moving far enough that a fixed range may become less useful.
What stays the same
What changes in Precision Curve + Rebalance
Curve liquidity shape
The position still uses CURVE to concentrate liquidity around active bin (pool price).
Reshape Liquidity (RL)
RL still uses 5 BINS as the visible model default for Curve reshaping.
Auto-compound (AC)
AC remains included so earned fees or rewards can compound back into the position.
Model components
Why it is included
Default Settings
Liquidity shape
Keeps the parent model's concentrated Curve fee-generation profile.
CURVE
Auto-compound (AC)
Keeps earned fees or rewards working back into the position.
For deeper understanding of AC, RL, AR, and Ping Pong, use Automation Library.
Precision Curve + Rebalance is for people who want the same Precision Curve fee concentration, but with full range movement added.
The simple tradeoff is:
Precision Curve keeps the range fixed and focuses on reshaping inside that range.
Precision Curve + Rebalance adds Ping Pong AR so the full range can follow price.
Choose this variation when you still want Curve behavior, but do not want the model anchored to one original range while price keeps moving.
Net PnL, Pair HODL, Max Drawdown, win rate, markout horizons, fills, quote updates, final inventory, open-order notional, and quote update cost.
Liquidity Providing
Net PnL, Manual LP, Pair HODL, fees, Max Drawdown, time in range, rebalances, and TVL breakdown.
1
Explain why the setup fits the market
Write down the pool behavior you tested and why the selected execution model, range, or settings matched that period.
2
Check where the result came from
Use the equity curve and replay instead of judging only the final PnL. Check whether the result was steady, depended on one late move, or came with inventory drift and drawdown you would not accept live.
3
Change one input at a time
If the setup needs improvement, change one decision and run the backtest again. Keep the pool, window, and deposit consistent so the comparison remains useful.
4
For Market Making Mode, click Create Market Making Agent, name the agent, add SOL, then select Fund and deploy agent.
For Liquidity Mode, continue to or build a custom setup from .
5
Use an amount that matches the risk you are prepared to monitor. A strong historical result does not remove market, inventory, execution, or impermanent-loss risk.
6
Compare the live Agent or LP position with the behavior you expected from Laboratory. Market conditions will not replay the backtest exactly.
Before going live, you should be able to explain:
Why the setup fits the pool and market behavior you tested.
Which drawdown, inventory, or range tradeoffs appeared in the backtest.
What you will monitor after deployment.
Which result would make you pause, widen, reduce, or retest the setup.
💡Alpha: Set LP widths based on expected volatility of token
💡Alpha: Slow weekends with muted price action are great for HFL
Slower auto-rebalances
0 minute real-time rebalances maximize in-range fee generation, especially for high vol pools. But sometimes you can set 5-15 minute rebalances instead to avoid adverse IL from extreme pumps/dumps
Tradeoff is less in-range (but possibly more sustainable) fee generation
Directional auto-rebalances
Set HawkFi to rebalance when token price goes up-only, instead of up & down. Rebalances amplify positive IL upwards, and negative IL downwards.
Tradeoff is significantly less fee generation, but up-only rebalances are suitable for steady long-term fee generation of high-conviction tokens
Strict Entries & Exits
Only enter LPs when A) Token price trades sideways/upwards, and B) Volume is high
Avoid & immediately exit when A) Token price dumps, or B) Volume dries up
Set Stop Loss at lower bounds of LP price range
Give an AI system the documentation index
Give an AI system the full documentation corpus
Connect an MCP-compatible AI client
https://hawkfi.gitbook.io/whitepaper/~gitbook/mcp
Give an AI one exact source
Open the relevant GitBook page and add .md to its public page URL.
Question
Start with
Which live Agent should I use?
How does Market Making Agent work?
What does Osprey do?
Copy this instruction when you want an AI system to answer from HawkFi's source of truth:
Prefer the current GitBook page over old screenshots, posts, or copied notes.
Use the canonical product page for definitions and exact settings.
Use task pages for the sequence of actions.
Check dated benchmarks and beta status before repeating performance claims.
Treat Models, Agents, and Laboratory as the HawkFi core product suite. Treat Magpi as a different product under HawkFi.
Use HawkFi's public GitBook as the canonical source. Start with its llms.txt index, then open the exact Markdown pages needed for the question. Distinguish HawkFi Agents, HawkFi Models, and HawkFi Laboratory. Treat Market Making Agent, Screener Agent, and Osprey Trading Agent as the three HawkFi Agent types. Treat Osprey as the screening agent or screening model used by both Screener Agent and Osprey Trading Agent, while keeping their LP and token-trading workflows separate. Treat Falcon as an execution model and Laboratory as simulation rather than live execution. Cite the exact HawkFi documentation pages used. If the docs do not answer something, say what is missing instead of guessing.
Use llms.txt for routing. Use llms-full.txt when the AI needs the full corpus. Use an exact page when you want the narrowest source for a specific question.
Route the question to the right source
Prompt an AI system
Keep retrieval reliable
Documentation map
Liquidity shape on compound
Spot
Your compounded fees and rewards will be deposited equally to each price bin of your position's price range.
Precision Curve
Compounds earned fees back into the position while RL manages the Curve shape.
Precision Hybrid
Compounds earned fees while Hybrid manages fee capture and swing style exposure.
HFL
Compounds earned fees back into a high frequency LP position when enabled.
Liquidity shape on compound options are: Spot, Curve, Bid-Ask
How Auto-compound (AC) behaves per strategy
FAQs for Auto-compound (AC)
How is it different from Auto-accumulate Fees?
Auto-compound (AC) adds earned fees or rewards back into the position. Auto-accumulate Fees (AA) claims fees into the selected token path instead.
Automation
What happens to fees
Best used when
Does Auto-compound (AC) help better returns?
Auto-compound (AC) applies the concept of compound interest by reinvesting earned fees or rewards back into the position, but returns still depend on market conditions, price movement, volume, and strategy setup.
Build Your Own Models
HawkFi Models are built from automations
HawkFi Automations are the building blocks that power HawkFi Models.
Each automation controls one part of how your position behaves: how liquidity is shaped, when the range moves, how fees are handled, and when the position exits.
Use this section as the automation map before going deeper into each feature.
Automation Building Blocks
Reshape Liquidity (RL) is a HawkFi automation that dynamically reshapes your liquidity distribution to stay concentrated around the active bin as price moves within your range.
is a HawkFi automation that strategically adjusts the distribution of assets between different tokens in a pool to maintain an optimal position within the market's price range.
is the HawkFi Auto-rebalance (AR) type that moves the position range while swapping assets to match the required deposit ratio for another range.
is the HawkFi Auto-rebalance (AR) type that moves the position range while keeping original assets intact for another range.
is an Advanced swapless Auto-rebalance (AR) mode that alternates rebalance behavior between AR down and AR up range setups.
is a HawkFi automation that automatically reinvests trading volume fees or rewards back into your position.
is a HawkFi automation that strategically lets you accumulate fees into your HawkFi wallet.
is a HawkFi automation that automatically closes your position once a specific profit target is reached.
is a HawkFi automation that automatically closes your position once a selected downside condition is reached.
Swapped Auto-rebalance
Move your position in range to earn fees with swap-based rebalance
What is Swapped Rebalance?
Swapped Rebalance is the HawkFi Auto-rebalance (AR) type that moves the position range while swapping assets to match the assets for another range.
How does Swapped Rebalance work?
Swapped Rebalance closes or adjusts the old range and opens a new range based on the selected mode.
Example: if price moves beyond the configured AR trigger, HawkFi can move the range and use the selected liquidity shape on rebalance.
Swapped Rebalance Modes
Mode
Example
What it controls
UI field
Example
What it controls
FAQs
What are the fees related to using Hawkfi? / What is a yield performance fee?
HawkFi charges:
0% deposit/withdrawal fees
0% automation fees
8% on the yield only, not initial deposit (so if you generate $1 in fees, HawkFi charges $0.08)
Other liquidity managers charge 9-25% of yield, plus 0.1% withdrawal fee on initial capital
HawkFi covers DEX pool creation & bin initialization fees for users
Storage Token Accounts (STAs) are what we call Token Specific Program Derived Accounts that are necessary to implement the automations we perform on your behalf as you use Hawkfi.
STAs are needed so we ensure that tokens from positions you’ve closed via Take Profits or Stop Losses, earned from existing positions but would not want to be compounded, are kept untouched by other automations that are running on the other positions you have active on Hawkfi.
You may be encountering a number of issues, or the network may be congested if you are unable to open a position on Hawkfi.
Try the following steps if you are unable to open a position on Hawkfi:
Check if you have enough SOL to open a position
You may be encountering a number of issues, or the network may be congested if you are unable to open a position on Hawkfi.
Try the following steps if you are unable to open a position on Hawkfi:
Check if you are trying to claim a scam token
We’re seeing a number of cases where scammers airdrop tokens to Hawkfi Wallets. You will not be able to claim these tokens as the required token accounts to claim these tokens have not been opened. Check if you are trying to claim a scam token A scam token is a token that shares the same ticker, but has a different mint than recently traded tokens that aims to trick you to buy more tokens but cannot be sold
Your slippage might be too tight
The network may be congested
Rebalances are performed based on a target price or condition which you have set. The target price is based on the price of the pool where your liquidity is in, and not on the overall market price. Once the target price is reached, we perform a rebalance on your position.
If you believe the target price or trigger has not been reached but a rebalance has been executed, verify the case by doing:
Navigate to the Analytics tab of your Position
Limit Orders (Take Profits and Stop Losses) are performed based on a target price or condition which you have set. The target price is based on the price of the pool where your liquidity is in, and not on the overall market price. Once the target price is reached, we perform a Limit Order and close your position. If you believe the target price or trigger has not been reached but a Limit Order was not executed, verify the case by doing: Navigate to the Analytics tab of your Position Click the Birdeye link in the Pool page where your position is located Compare the timestamp in which your position should have been closed.
Fees earned by user’s positions may have been claimed by the user, compounded by Hawkfi, or claimed during a rebalance. The fees are added into the position during compounds or rebalances (if compounds are enabled). If any of the tokens trend downwards, rebalanced, trend upwards, and rebalanced again, the fees earned would have been used to offset any losses incurred during the price swings of the paired tokens.
Hawkfi automatically lists liquidity pools created on Meteora. Just create your desired pool on Meteora, and Hawkfi picks it up! What are HFI Points? How can I earn them? Are they live?
You will not be able to export the HFI wallet since it is a program derived address (PDA) which can only be used within the Hawkfi smart contract.
The APRs displayed are based on the volume from the past 24 hours. They are not meant to be used as predictors of future gains or fee earnings from the pool. The displayed APRs are only meant to show the returns of the pool from the past 24H.
Understand Fees and Risks
Review the fee source and the main risks for HawkFi Models, Agents, and Laboratory before using live capital.
HawkFi Models, HawkFi Agents, and HawkFi Laboratory do different jobs. Their fees and risks should be read in the context of the workflow you plan to use.
Find the current fee source
Workflow
Read this before funding
Core HawkFi LP positions and Models
Risk
Where it matters
What to check
Choose the workflow and open its current fee source.
Decide which market, inventory, and drawdown risks you can monitor.
Test the configuration in HawkFi Laboratory when the mode is available.
High volatility
Precision Hybrid — prints stable fees + captures swing trading gains in one position
One static setup; zero swing capture, zero adaptability
Price correction / dip
Precision Curve (single-side SOL) or Precision Hybrid — stays active, positioned for the recovery
Likely out of range, earning zero fees while you wait
Reshape Liquidity (RL)
High-frequency reshaping of your liquidity curve around the active bin. Configurable trigger: every 1–69 bins of price movement
Liquidity shape
Choose Spot, Curve, Bid-ask, or Hybrid (50/50 Spot + Bid-ask) per strategy
Take Profit (TP)
Position closes and converts to SOL or USDC at your target price/balance/pnl/etc
Stop Loss (SL)
Position closes and converts to SOLor USDC at your stop price — downside protection without manual monitoring
Combined value falls to $750
Triggers SL when the combined position balance and unclaimed fees reach the configured value.
Market cap
Market cap falls to $350K
Triggers SL when market cap reaches the configured loss target.
Position age
Position closes after 3 hours
Triggers SL when the position has met configured amount of time.
PnL (USD)
USD PnL reaches -20%
Triggers SL when position PnL reaches the configured negative percentage measured in USD.
PnL (SOL)
SOL PnL reaches -20%
Triggers SL when position PnL reaches the configured negative percentage measured in SOL.
Swap to USDC
Convert withdrawn assets to USDC
Closes the position, swaps the assets to USDC, and sends them to your HawkFi wallet.
Auto-compound (AC)
Fees or rewards are reinvested back into the LP position.
You want generated fees to keep working inside the position.
Auto-accumulate Fees (AA)
Fees are claimed and converted in USDC or SOL
You want to separate fees earned from position.
Increase the priority fee multiplier
Increase the priority fee cap
Check if you have enough SOL to pay for the increased priority fees
A scam token is a token that shares the same ticker, but has a different mint than recently traded tokens that aims to trick you to buy more tokens but cannot be sold
Increase the priority fee multiplier
Increase the priority fee cap
Check if you have enough SOL to pay for the increased priority fees
Click the Birdeye link in the Pool page where your position is located
Compare the Price in which your position was rebalanced
Why are STAs needed?
Why am I not able to deposit/open a position?
Why am I not able to Withdraw or Claim?
Why am I not able to claim some tokens I see on the HawkFi wallet?
Why are my positions not being automated? or Why are there delays in my position’s automations?
Why did my position get rebalanced?
Why did my Take Profit or Stop Loss not fire?
It says I earned X amount, but my position is only worth Y. Where did my fees go?
How can a pool get listed on HawkFi?
How can we export the HFI wallet to claim airdrops that the wallet may be entitled to?
Why am I earning less fees than the stated APR when I entered?
Full range behavior
This variation adds AR with UP & DOWN, 0M COOLDOWN, PING PONG 68-0-68, so the full range can move in either direction.
ON
Reshape Liquidity (RL)
Keeps Curve liquidity concentrated around active bin (pool price) while the position remains in range.
5 BINS
Auto-rebalance (AR)
Adds full range movement so the model can follow larger price moves.
Lets the range follow downward price movement only.
Liquidity Shape on Rebalance
Spot, Curve, Bid-Ask, Hybrid
Sets the liquidity shape used after the rebalance.
Fixed Schedule
Rebalance every 1 hour
Rebalances based on time instead of price direction.
Up or Down
Rebalance up or down after 5 minute cooldown
Lets the range follow price in both upward and downward movement.
Up only
Rebalance up after 5 minute cooldown
Lets the range follow upward price movement only.
Down only
AR Cooldown
0 minute
Controls how soon Up or Down, Up only, or Down only can trigger again after a rebalance.
Auto-Rebalance Deposit Slippage
3% slippage
Sets the slippage limit used when AR deposits into the new position.
Note: AR Cooldown is the time HawkFi must wait between auto-rebalances. You can set this as low as 0 minute for close-to-realtime execution or as high as 24 hours.
Swapped Rebalance Technical Customizations
FAQs for Swapped Rebalance
How is Swapped Rebalance different from Swapless Rebalance?
Swapped Rebalance may use swaps during the rebalance process. Swapless Rebalance moves the position range without performing a swap.
When does AR Cooldown apply?
AR Cooldown applies to Up or Down, Up only, and Down only modes.
Rebalance up after 5 minute cooldown
Fees or rewards are reinvested back into the LP position.
You want to separate fees earned from position.
Auto-compound (AC)
Fees are claimed and converted in USDC or SOL
You want generated fees to keep working inside the position.
Auto-accumulate Fees (AA)
Adverse selection and toxic fills
Market Making Agent
Check markout, momentum, quote distance, fill quality, and whether quotes are too aggressive.
Inventory drift
Market Making Agent and LP positions
Check the ending token mix, inventory skew, TVL breakdown, and whether PnL came with unwanted exposure.
Model mismatch
Models and Agents
A model optimized for one asset class or market regime may not fit another. Test the pool and market window first.
Selectivity and opportunity frequency
Screener Agent with Osprey
A selective screening model may wait instead of opening constant positions. A broader model can increase activity and risk.
Direct token exposure and swap execution
Osprey Trading Agent
Review the token filters, entry size, total allocation, slippage, TP/SL, maximum hold, and the fee charged on each swap leg.
Backtest overconfidence
HawkFi Laboratory
Historical results are research. They do not predict future returns or remove live execution differences.
Network and funding limits
Live Agents and LP positions
Keep enough SOL for the workflow and review priority fee settings when transactions fail.
Fund an amount that matches the risk you are prepared to manage.
Define what would make you pause, change, or exit the setup.
Review Agent funding, fixed position size, position management, and exit settings in the Screener Agent guide.
Osprey Trading Agent
Each swap charges 1%: entry deducts it from gross WSOL input, while exit deducts it from gross WSOL output before net proceeds are credited. Review the Osprey Trading Agent fee details.
HawkFi Laboratory
Laboratory is for simulation. Review live fees on the workflow you choose after the backtest.
Market and price risk
Every live workflow
The asset can move against the setup. HawkFi does not guarantee future returns.
Impermanent loss
Liquidity Providing and Screener Agent LP positions
Compare fees and PnL with Pair HODL, Manual LP, token inventory, and drawdown.
Always review the current product page before funding. Market Making Agent fee tiers and access status belong in the Market Making Agent reference.
