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Botcamp Cohort 12

Cohort 12 was the first to use the new Hummingbot API and Quants-Lab repos for data collection and analysis.

September 9 - September 30, 2025
31 participants
9 certified strategies

Demo Day & Certified Strategies

Directional
V2 Controller

Divergence signal to macd bb directional strategy

This script improves a standard trading strategy by requiring an extra confirmation before making a move. In addition to using common signals from Bollinger Bands and MACD, it specifically looks for MACD divergence, which happens when the asset's price and the indicator start moving in opposite directions. A trade is only placed when this powerful divergence signal is present, making the strategy more selective and reliable.

by ethng
Directional
V2 Controller

Following Spot Orderbook Skew & Fading Open Interest RSI

This script watches the balance of buy/sell orders and the total number of open contracts for major cryptocurrencies like BTC, ETH, and SOL. When these two indicators show opposing extremes (e.g., one is "overbought" while the other is "oversold"), it automatically opens a trade to bet on a price reversal. The script then closes the position once the market imbalance has corrected and returned to a more neutral level.

by Christian Schroer
LP
Quants Lab Notebook

JLP/USDC Leveraged Lending Strategy

This is a framework for testing crypto investment strategies on the Kamino Protocol by closely tracking their performance and risk. The system monitors your investments, warns you on Discord if they become too risky, and provides instructions on how to protect your funds. It saves all the data for analysis and is designed to be easily upgraded for future use.

by Joris Zierold
LP
V1 Script

Meteora DLMM Micro-Structure Analysis

This system acts as an early warning tool by analyzing the underlying structure of a crypto market instead of just its price. It automatically studies how traders place buy and sell orders to distinguish between normal retail activity, large institutional moves, and automated bot strategies. When the system detects a significant change in these deep market patterns, it sends a Telegram alert, often before a major price movement happens.

by Max Gnesi
Arbitrage
V2 Controller

Multi-Exchange Funding Arb

This is an automated trading script that profits from funding rate arbitrage—the small differences in fees between two crypto exchanges for the same asset. It works by simultaneously opening opposite positions (a long on one exchange and a short on the other), which allows it to collect the rate difference while being hedged against price movements. The script includes numerous safety controls, only entering trades when the potential profit is high enough and automatically closing them when the opportunity disappears.

by Pasha
V2 Controller

PMM for liquidity mining (Hedged + Regime Switching)

This strategy aims to earn weekly XRP rewards by making it easier for others to trade on the XRP Ledger, all while using safeguards to protect against investment risk.

by James LO
LP
V1 Script

Shufflemania

This strategy involves placing both buy and sell orders on a Decentralized Exchange (DEX) to act as a market maker. When one of those orders is filled, an opposite trade is then executed on a different exchange. This allows a trader to operate across two separate markets.

by Tri
Directional
V2 Script

Tradingview/Hummingbot Webhook Trading Strategy

This automated trading system works like a three-part assembly line. First, a strategy on TradingView generates the initial buy or sell signal and sends it out. Next, a secure server acts as a middleman, catching the signal, verifying it, and passing it along. Finally, the Hummingbot execution engine receives the command and places the actual trade on the correct crypto exchange, managing the position from there.

by Todd Griggs
Directional
V2 Controller

VWAD Enhanced Bollinger Strategy

VWAD is an advanced trading strategy that analyzes trading volume to better predict which way the price will move. It constantly watches the amount of buying and selling activity and uses this information to automatically place smarter trade orders. This allows it to make more informed decisions based on the real momentum in the market.

by Alexia Quan

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