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

Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.

Open Source algo trading platform

The Open-Source Backtesting Engine/ Trading Simulator by Bertram Solutions.

Market Maker Bot for Binance

Maximize your crypto gains with our user-friendly DeFi trading bot. Advanced risk management, multi-chain support, and automated strategies for highest ROI. Start sniping tokens now

Simple use of technical analysis indicators for C#, based on TALib.

Windows/Linux/MacOS Desktop App to browse QuantConnect Lean engine's backtest and monitor live performances. Original project https://github.com/mirthestam/lean-monitor

All-in-one. Trading terminal with generic gateway implementation, tick backtester, charting, and performance evaluator for trading strategies.

All-in-one. Trading terminal with generic gateway implementation, tick backtester, charting, and performance evaluator for trading strategies.

Service App to run scrips for algo trading and manage market data: https://www.youtube.com/playlist?list=PLbiaIO7sG7FYlrgOV1XLHrnaufJ7fK6Hx

Reference implementation of FIXatdl in .NET

This repository offers an AI-powered crypto trading bot designed for automated trading of Bitcoin and other cryptocurrencies. It provides tools and algorithms for efficient and intelligent trading, maximizing profit and minimizing risk.

BRM strategy for algorithmic trading

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

This repository offers an AI-powered crypto trading bot designed for automated trading of Bitcoin and other cryptocurrencies. It provides tools and algorithms for efficient and intelligent trading, maximizing profit and minimizing risk.

Here are my codewars kata solutions solved with C# and C++

A financial trading algorithm based on limit orders, relying on relative strength index indicator to take an action, optimized via Nelder-Mead algorithm for optimum RSi period, stop loss/take profit, and other parameters.

Experimental trading bot.

MOEX ISS connector