Using Math to Design AI Trading Strategy from $0 to $10k/Month (Advanced Guide)

Posted By on February 27, 2026

I demonstrate a trading strategy engine built with Claude AI and VectorBT for automated strategy development and robust backtesting, all using math to design!

In this video, I show the dashboard and local trade engine Claude Opus created, which runs thousands of backtests per second. I cover the full workflow from data splitting and Monte Carlo simulations to out-of-sample testing and connecting live strategies to exchanges via SignalSwap.

– Building a local trade engine with VectorBT in Visual Studio Code
– Strategy optimization focusing on Sharpe ratio and net drawdown
– Using bootstrap training and analyzing worst-performing metrics
– Connecting to real exchanges and publishing bots on SignalSwap
– Creating trading bots, alerts, and webhooks for live signals

LINKS:
Start free as a beta-tester now:
https://www.signalswap.io

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

Discord (Find the full price data in the video here): https://discord.gg/dJ6ZCxENEw

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

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YOUTUBE CHAPTERS
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0: 00 Introducing Claude-Optimized Trading Strategy
0: 48 Channel Subscription Call to Action
2: 05 Building Local Trade Engine with Vector BT
2: 52 Strategy Dashboard and Monte Carlo Simulations
4: 04 Data Splitting and Out-of-Sample Testing
5: 36 Risk Metrics and Strategy Optimization
7: 09 Overnight Strategy Iteration Results
7: 55 Risk Management and Parameter Configuration
8: 51 Bootstrap Training and Worst Performers
10: 15 Connecting to Real Exchanges via SignalSwap
11: 10 Marketplace and Bot Publishing Features
12: 18 Creating Trading Bots Step by Step
13: 04 Creating Alerts and Webhooks
14: 01 Future Tutorials and Development Plans

#algorithmictrading #backtesting #tradingbots #quantitativeanalysis #tradingstrategy

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.