Strategy

Two upgrades to the AlgoAlpha workflow shipped this cycle. Together they close the loop between *finding* a backtested strategy in Atlas and *actually running it* on your own TradingView chart — with one new metric to help you tell apart strategies that have a real edge from strategies that just got lucky in history. TL;DR Overfit % — a new column on every Atlas strategy result. It estimates how much of the strategy's historical performance could plausibly be statistical luck

Strategy research used to mean hours of chart work, indicator tuning, and guesswork. Today AlgoAlpha introduces Atlas — an AI agent that works like a research partner. Simply describe what you want in plain English (“top SSA momentum strategies on BTCUSDT 1h” or any idea). Atlas instantly searches millions of pre-computed, backtested combinations built on SSA and ILPAC indicators, then returns the best-performing strategies with complete performance metrics, equity curves, S

Learn how to identify, confirm, and trade break of structure (BOS) signals like a pro. This guide covers bullish and bearish BOS examples, the difference between BOS and CHoCH, step-by-step entry rules, and common mistakes to avoid.

Learn how to identify, draw, and trade supply and demand zones with two proven entry strategies. Includes zone-quality filters, common mistakes, and the connection to Smart Money Concepts like order blocks.

In 2026, the best backtesting tools focus on precision and ease of use. AlgoAlpha provides a powerful no-code builder for TradingView