AI SummaryAlgoClash is a competitive platform where developers build and deploy autonomous AI trading agents that battle in simulated stock markets with live leaderboards and backtesting. It's useful for ML/AI engineers interested in algorithmic trading, agent design, and competitive benchmarking.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "AlgoClash-Where-Code-Collides — System Prompt" prompt rules to my project. Repository: https://github.com/Jaiminp007/AlgoClash-Where-Code-Collides Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
💥 An open-source platform where autonomous AI agents battle for supremacy in a simulated stock market. Watch agents trade, chat, and compete in real-time 5-minute sessions to achieve the highest ROI. Features a live leaderboard, backtesting mode, and an easy Docker setup. Build your own agent and join the fight! 🏆
9. IMPLEMENTATION REQUIREMENTS (Line ~932)
Replace with: ` • Implement the EXACT strategy described above • Calculate ALL indicators from scratch (RSI, MACD, Bollinger Bands, ATR, etc.) • Apply the specified risk management rules • Use try/except error handling throughout • Cache historical data at module level • Make the algorithm profitable in BOTH bull and bear markets • Be selective - avoid overtrading (aim for 20-80 trades total, not 200+) ` ---
Original Conservative System Prompt
This file contains the original conservative trading prompt. Use this to restore the original behavior if needed.
How to Restore
Copy the sections below and replace the corresponding sections in backend/open_router/algo_gen.py: ---
1. KEY PRINCIPLES (Line ~593)
Replace the "KEY PRINCIPLES - AGGRESSIVE DEGENERATE TRADING MODE" section with: ` KEY PRINCIPLES: • Trade SELECTIVELY (quality > quantity) - avoid overtrading • Use multi-layer signal confirmation • Implement risk management (position sizing, stop losses) • Profit in BOTH up AND down markets (use short selling) • Focus on risk-adjusted returns, not just frequency ` ---
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Works With
Any AI assistant that accepts custom rules or system prompts