# StockSharp/StockSharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Repository: https://github.com/StockSharp/StockSharp
Canonical: https://ross.abutalabs.com/products/stocksharp
Homepage: https://stocksharp.com
Language: C#
License: NOASSERTION
License Family: other
Topics: trading-strategies, trading-robots, trading-platform, algorithmic-trading-engine, forex, bitcoins, broker, quantitative-finance, trading, fixprotocol, finance, hft-trading, interactive-brokers, crypto, cryptocurrency, stocks, backtesting, c-sharp, brokers, algorithmic-trading
Last push: 2026-08-26T22:44:44+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 4286, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10645, forks 2257 (observed 2026-08-28T04:10:43.631335+00:00)

## What it is
StockSharp (S#) is an open-source algorithmic and quantitative trading platform for .NET and Python, providing a trading API, 70+ broker/exchange connectors, and applications for strategy design, backtesting, and market data collection. It supports manual and automated trading across stocks, futures, options, forex, and crypto markets, including HFT use cases.

## Use cases
- build algorithmic trading robots in C# or Python
- backtest trading strategies on historical market data
- connect to crypto exchanges and brokers like Binance or Interactive Brokers
- download and store historical market data from multiple sources
- create trading strategies visually without programming
- run high-frequency trading strategies
- trade manually from charts with a trading terminal

## When to choose
- you need a .NET or Python trading library with many exchange and broker connectors
- you want an all-in-one platform covering strategy design, backtesting, and live trading
- you trade across multiple asset classes including crypto, forex, stocks, and options
- you need HFT-capable, low-latency market connectivity

## When to avoid
- you need a simple Python-only backtesting library with minimal footprint
- you require a permissively licensed codebase - the license is custom/non-standard
- you want a fully free unlimited cloud service - advanced features and connectors are paid
- you are not on the .NET ecosystem and prefer pure open tooling without commercial tiers

## Facets
- artifact type: framework
- maturity: active
- function: trading, sdk, api-framework, data-science, simulation
- domain: fintech, apis
- platform: dotnet, windows, cross-platform, python
- tags: algorithmic-trading, trading-robots, backtesting, hft, forex, crypto-exchanges, market-data, fix-protocol, quantitative-finance, brokers, csharp, cryptocurrency, automation

## Member repositories
- StockSharp/StockSharp (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:43.631335+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:18:14.000916+00:00, confidence not recorded.
  - readme: https://github.com/StockSharp/StockSharp (fetched 2026-08-28T04:10:43.631335+00:00, sha 54bd35d662d8)
  - homepage: https://stocksharp.com (fetched 2026-08-29T08:17:29.191397+00:00, sha 931015dee686)
  - site_page: https://stocksharp.com/en/pricing (fetched 2026-08-29T08:17:29.193990+00:00, sha 47ee1ba665c6)
  - site_page: https://doc.stocksharp.com/en (fetched 2026-08-29T08:17:29.195521+00:00, sha dafde43bdece)
  - site_page: https://stocksharp.com/en/company (fetched 2026-08-29T08:17:29.197148+00:00, sha 1958105bd207)
- Data as of 2026-08-30T08:39:29.467469+00:00.