Summary
This video presents a trader’s shortlist of seven automated trading bots and explains how AI fits into building and managing them. The creator describes a process of backtesting more than 1,000 strategies across tens of thousands of tests, with only a tiny fraction making the final leaderboard.
Each bot is shown with its indicators, entry and exit rules, and performance figures, including backtest net profit, win rate, profit factor, Sharpe ratio, and maximum drawdown, compared against live trading results. Strategies discussed include a turtle-style breakout system with an AI zero-lag filter and a trend strategy built around the stiffness indicator. The creator also notes practical constraints, such as why certain chart overlays cannot be traded directly through an automated TradingView connection, and how backtests use a standardized leverage and allocation for fair comparison.
The final section covers how the creator uses AI day to day to screen strategies, build new ones, and keep the portfolio performing. Viewers interested in applying AI to systematic trading will find a look at how backtesting, forward testing, and AI-assisted selection fit together. As with any trading content, the results shown are the creator’s own and are not financial advice.
📺 Source: Trading with DaviddTech · Published November 02, 2026
🏷️ Format: Showcase
