The StockSharp Collection Has Grown to 3,811 Trading Strategies in C# and Python

In July 2025, we reported that StockSharp offered 326 trading strategy examples. Since then, the collection has grown almost twelvefold: the StockSharp/AlgoTrading repository now contains 3,811 strategies.

Every idea is provided in two versions:

• C# for the .NET ecosystem;
• Python for research, education, and integration with familiar analytics tools.

The catalog includes strategies based on technical indicators, arbitrage, market making, volume analysis, statistical methods, machine learning, and other approaches. A consistent structure makes it possible to compare implementations and see how the same trading logic is expressed in different languages.

The collection is more than a set of source files. It includes:

• categorization by trading idea type;
• documentation in seven languages;
• automated checks for structure and parity between the C# and Python versions;
• regression tests of strategies in emulation mode;
• examples showing how to use StockSharp components.

The strategies can be studied independently or used as a starting point for experiments with the StockSharp platform. The code helps users test a hypothesis faster, understand the API, and explore common approaches to working with orders, positions, indicators, and market data.

As with any algorithm examples, the strategies in the catalog do not promise profitability and must be independently evaluated for the chosen market, period, and commission model.

The complete collection is available on GitHub: github.com/StockSharp/AlgoTrading.