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Many traders spend hours hunting for strong support and resistance levels with the goal of entering counter-trend trades. They bet on price hitting a wall and reversing. However, when I tested over 15 years of history across 40 futures markets, I found something different.
This guide shows how to build and test simple breakout systems using free Python tools, Alpaca data, and modular research steps.
Building intraday strategies? We compare TradeStation, Polygon.io & Alpaca for 1-min US stock data via REST API. Analyzing price accuracy, volume & cost, we find surprising consistency and a clear winner for affordable, quality historical data. Essential for algorithmic traders.
![Buying Short-Term Dips in Stocks [backtester]](/content/images/size/w960/format/webp/2025/01/dip-perfm.png)
One of the core principles of successful trading is “Buy low, sell high.” Let’s explore a mechanical trading system