Case Studies
Bridging AI with Manual Trading — Backtest-Powered Signals for Discretionary Execution
Client Profile: A professional day trader who preferred manual execution but wanted to upgrade his strategy development process with AI
Challenge:
The client was confident in executing trades manually but lacked a way to test strategies systematically or understand how trades would perform under different market conditions. He also needed a way to ensure consistency in trade selectionOur Solution:
We delivered an AI-driven backtesting and signal generation tool, built to run daily scans and highlight high-probability setups using algorithm model on top of trader trading logic. While trades were still executed manually, the system featuredDynamic Risk-Based Trade Scores: Each opportunity was evaluated for expected reward/risk ratio and market alignment
Capital Risk Flags: Suggested position sizes based on modeled risk and volatility, aiding the trader’s discretion
Daily Signal Dashboard: Provided a curated list of top signals, filtered by technical strength, breakout criteria, and sector momentum
News and Volatility Awareness: Integrated thresholds and macro headlines to help the trader avoid high-risk environments.