Ross ROSS = Recommend OSS · open-source software intelligence for agents

StockSharp/StockSharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options). observed · 2026-08-28

github.com/StockSharp/StockSharp · homepage · C# · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 99
  • Release rhythm 8
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4286
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

10645 stars · 2257 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

framework · maturity active

trading sdk api-framework data-science simulation fintech apis dotnet windows cross-platform python algorithmic-trading trading-robots backtesting hft forex crypto-exchanges market-data fix-protocol quantitative-finance brokers csharp cryptocurrency automation

5 sources

Member repositories

RepositoryRoleHealth v2
StockSharp/StockSharpmain67

For agents

markdown · JSON · MCP: product_card(name="StockSharp/StockSharp")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem