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Self-improving trading agent — critic loop that rewrites losing strategies

raycfu · 2026-10-08T00:15:36.000Z · in Stocks, Vol. 2
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100k ft — What is this?

Self-improving trading agent — critic loop that rewrites losing strategies
techniqueB-tier

50k ft — Why care?

Workflow pitch: describe a strategy, an agent codes it and wires the broker API, runs a five-year backtest, and a critic agent dissects losing trades and rewrites entry/exit logic before rerunning. Hard-coded stop-loss and drawdown limits sit outside the agent's reach, and failed strategies go to a local DB the agent learns from. Guide is comment-gated.
agentsfinance/tradingprompt engineeringquantvideo production

10k ft — Key takeaways

• Beware overfitting when an agent rewrites rules to fix past losers • Lock risk limits in code the agent cannot modify • Store failed strategies so the agent avoids repeating them

5k ft — Tools & techniques

(no tools tagged) AI agents, API integration, algorithmic trading, critic-agent loop, failure memory database, hard-coded risk limits, workflow automation

1k ft — Deep-dive / try it

How to build a self improving AI trading agent #tech #ai
Transcript excerpt
Nobody has talked about this, but someone just built a self-improving and a trading system that literally rewrites its own code whenever it loses money. Top hedge funds spend millions of dollars a year hiring quant traders to research, test, and tweak trading strategies. This setup turns that entire cycle into an automated loop. First, describe the trading idea and the agent translate your rules into clean code, hooks up your broker API, and runs a five-year market stress test in seconds. If the test comes back read, a critic agent runs an automated autopsy. Instead of deleting the whole strategy, it finds the exact trades where the bot lost money, rewrites the entry and exit logic, then reruns the test on the spot. The agent then deploys it live with hard-coded risk rules. This allows you to lock your stop-losses and max drawdown directly so your agent can never override them. The best part is, every failed strategy gets saved to a local database where the agent studies its own mistakes and never makes the same one twice. I put together a detailed step-by-step guide with the agent workflow and prompt templates. If you want it, just like the video, comment, loop, and I'll send it to you. Follow for more ways to make money and run your business with tech and AI.

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Collection: Stocks, Vol. 2