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Botcamp Cohort 13

With a revamped curriculum that combines training in algo trading strategy design and development with the latest advances in AI agentic trading, Botcamp Cohort 13 teaches students the theory and practice of professional market making with hands-on instruction from the maintainers of Hummingbot, the open source crypto trading framework.

April 23 - May 19, 2026
33 participants
8 certified strategies

Demo Day & Certified Strategies

@adam-torgerson/cohort-13-ancient-finch

Ancient Finch

A set of condor routines to to monitor market conditions and maintain a pmm_mister controller in times of low volatility, and a grid_strike controller in times of high volatility.

StrategyCohort 13Market MakingDirectionalKraken

@isreallee82/cohort-13-flowedge

FlowEdge

Regime-adaptive directional controller with multi-timeframe signal generation, NATR-scaled DCA entries, funding rate bias, and embedded self-adaptive threshold. Uses ADX regime detection to suppress entries in choppy markets and fire 3-level maker DCA positions when both fast (3m) and slow (15m) timeframes confirm a trending regime.

ControllerCohort 13DirectionalNATRRSIHyperliquidBinance

@jacob/cohort-13-hat-rebalancer

Hat Rebalancer

The Hat Rebalancer is a multi-layer concentrated liquidity controller that deploys capital across N overlapping LP positions at progressively tighter price ranges. The shape of a liquidity forms a hat-shaped distribution, taking advantage of highly correlated assets.

ControllerCohort 13LPbasicV2 ControllerOrcaMeteora

@shahmat/cohort-13-hyperliquid-pullback

Hyperliquid Pullback

Trend following strategy that finds a "pullback" pattern using keltner channels and sets a measured move target based on pivot lows to calculate TP/SL.

ControllerCohort 13DirectionalCandlesV2 ControllerHyperliquid

@raj/cohort-13-market-making-at-the-touch

Market Making At-The-Touch

A market-making strategy optimised for posting at the top of the order book (the "touch") on both sides. It decides, at every tick, whether to keep a buy LO at the best bid and/or a sell LO at the best ask, based on the agent's current inventory and how much time is left in a rolling horizon. The decision rule comes from solving an offline stochastic-control problem; the live controller is just a fast lookup against a pre-baked table.

ControllerCohort 13Market MakingV2 ControllerHyperliquid

@james-lo-tsz/cohort-13-meteora-lp-agent

Meteora LP Agent

Autonomous concentrated liquidity market-maker on Meteora Dynamic Liquidity Market Maker (DLMM) on Solana. Each tick, it scans Meteora DLMM pools via GeckoTerminal, selects the pool with the highest volume-to-total-value-locked (V/T) ratio that passes structural and routability checks, rebalances the wallet via Jupiter if needed, and deploys a managed liquidity-providing (LP) position — closing it automatically when defined exit conditions are met.

AgentCohort 13LPJupiterMeteora

@vzmievski/cohort-13-pmm-mister-dynamic

PMM Mister Dynamic

PMMMisterDynamic is a modification of PMM Mister strategy where some of original PMM Mister static parameters are replaced with a dynamically adjusted functions of the market volatility and trend

ControllerCohort 13

@wei-hong/cohort-13-perp-xemm

Perp XEMM

Perp XEMM

StrategyCohort 13

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