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forex

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Multi-asset, multi-strategy, event-driven trade execution and management platform for automated buy-side trading of common markets, using MongoDB for storage and Telegram for user notifications/trade consent.

  • Updated Oct 23, 2020
  • Python
Stock.Indicators

Stock indicator technical analysis library package for .NET. Send in price quote history and get back the desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation Distribution Line (ADL), Aroon, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator, Beta Coefficient, Bollinger Bands, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, ConnorsRSI, Commodity Channel Index (CCI), Correlation Coefficient, Donchian Channel, Double EMA, Exponential Moving Average, Fractal, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), Keltner Channel, Linear Regression and Slope, Price Channels, MESA Adaptive Moving Average (MAMA), Money Flow Index (MFI), Momentum Oscillator, Moving Average Convergence/Divergence (MACD), Envelopes, On-balance Volume (OBV), Parabolic SAR, Pivot Points (Standard, Camarilla, Demark, Fibonacci, Woodie), Price Momentum Oscillator (PMO), Price [Comparative] Relative Strength, Rate of Change (ROC), Relative Strength Index (RSI), R-Squared, Simple Moving Average, Standard Deviation, STARC Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Triple Exponential Moving Average (TEMA), Trix, Ulcer Index, Ultimate Oscillator, Linear Weighted Moving Average (WMA / LWMA), Williams %R, Zig Zag

  • Updated Jan 4, 2021
  • C#
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop

End-to-End solution connecting Metatrader4 & Metatrader5 💹 with Python with a simple drag and drop EA. Fully tested bug free & efficient solution for live & paper trading Full Documentation ready.

  • Updated Dec 28, 2020
  • Python

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