Building a $10,000/mo Trading Engine: Claude 4.6 (+ Monte Carlo Simulations)

Posted By on February 21, 2026

I build and test a complete double EMA trading strategy from scratch using Claude Opus AI. I show the backtest results, parameter optimization, and critical stress tests.

In this video, I demonstrate how I used Claude Opus 4.6 to develop, test, and refine a trading strategy. I walk through the out-of-sample backtest results on Solana’s 1-hour chart, the Monte Carlo simulation analysis, and the performance metrics like the Sharpe ratio and drawdown.

– Building a double EMA strategy with AI-driven parameter optimization
– Analyzing out-of-sample backtest results showing a 16% drawdown
– Running Monte Carlo and bootstrap simulations for robustness testing
– Reviewing key metrics like the Sharpe Ratio (0.89) from the strategy dashboard
– Explaining my custom trading engine built for fast strategy development

LINKS:
Signup with this link for Pionex: https://www.pionex.com/en/sign/ref/xOPc43XF

Get My Strategies: https://whop.com/tradetactics/

Bybit (use THIS link for free access to signalswap): https://partner.bybit.com/b/signalswap

Discord (Find the full price data in the video here): https://discord.gg/dJ6ZCxENEw
If above discord invite fails try this second one: https://discord.gg/sgUAhHRKcT

All of my social media links: https://linktr.ee/tradingtactics

Disclaimer:
The information provided by Trade Tactics and its affiliates is for educational purposes only and is not intended as investment or trading advice. The user bears sole responsibility for any actions taken based on this information and Trade Tactics and its affiliates will not be held liable for any losses or damages resulting from its use.

0: 00 Introducing the Double EMA Strategy
0: 35 Out of Sample Data Testing
1: 56 Strategy Performance Metrics
2: 36 Overnight Claude Opus System Run
3: 26 Building a Custom Trading Engine
4: 26 Claude Opus Trading Engine Access
5: 29 Flat Market Detection Feature
6: 37 Importance of Rigorous Stress Testing
7: 36 Bot Performance and Risk Management

#AITrading #AlgorithmicTrading #TradingStrategy #Backtesting #QuantitativeAnalysis