Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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.
Market Profile indicator for MT4, MT5, and cTrader by EarnForex.com
C# TA library for real-time financial analysis, offering ~100 indicators. Available on NuGet, Quantower compatible. Ensures early validity of calculated data, calculation accuracy tested against four TA libraries.
FXCM/Binance trade bot designer
.NET library that provides Forex trading integration with the Oanda V20 REST Api.
Simple Forex trading simulator for manually testing strategies
Effortlessly download, convert, and export Dukascopy tick data. This package seamlessly transforms proprietary Bi5 tick data into standardized CSV files, providing OHLCV (Open, High, Low, Close, Volume) data resampled to your preferred timeframe resolution. Streamline your data processing with a lightweight, reliable tool.
Pattern detection for 37 bullish and 37 bearish candlestick patterns, 9 bullish, 9 bearish and additionally 2 continuation classic chart formations, 6 bullish, 6 bearish fibonacci chart patterns. Additionally, you can test their effectiveness on the data provided.
Statistics and performance metrics in trading, CAGR, Sharpe, MAE, MFE, and others. Cointegration and option pricing.
WCF Service that wrap the https://github.com/vdemydiuk/mtapi and expose MQL5 endpoints as http
.NET library that provides Forex trading integration with the Oanda V20 REST Api.
Documentation for StockSharp platform.
This is a library for Forex, Stock, etc. tools like Fibonacci levels
VarMovAvg is a kind of an adaptable moving average with noise filtering.
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