Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

A program for financial portfolio management, analysis and optimisation.

Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such indicators as: Relative Strength Index (RSI), Moving Average C / D (MACD), Average Directional Index (ADX), Stochastic Oscillator, Bollinger Bands, Average True Range (ATR) and many others

Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

A collection of indicators written in Pine script for TradingView platform.

🚀 The production-ready and incredibly-fast python library to support stock statistics and indicators, based on `pandas.DataFrame`

Technical anaysis library for .NET

Attempt to predict future stock prices based on Google Trends data.

Scripts for using on Binary.com Bots.

Scan cryptocurrencies and stock market by Bollinger bandwidth in one click. Browse coins integrated with TradingView. Just the tool you need in bull season. find the coins and stocks that will rise in advance.

AI trading agent for stocks & crypto

Financial indicators for use with Data-Forge

Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.

Monorepo for trading algorithms

quantitative trading strategies including VIX Calculator, Pattern Recognition, Monte Carlo, Heikin-Ashi, Pair Trading

A stock screener that detect consolidation based on Bollinger Bands and Keltner channels

Web app with TD Ameritrade integration, backtesting, and automated live trading. Nodejs and Angular

Hunter is a quant level crypto trading bot executing on-chain trades with live PnL, smart token scanning, microstructure analysis, and adaptive risk control. Uses weighted multi-factor analysis and heuristic algorithms for intelligent decision-making. Updated in real time. If you find this project useful, drop a ⭐️ to support it

A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.

An overview of various quantitative techniques and trading strategies for predicting stock prices, based on historical data from YahooFinance.

Django application with an admin dashboard using django-jet, for monitoring stocks and cryptocurrencies based on technical indicators - Bollinger bands & RSI

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

Bollinger Squeeze Advanced is a histogram indicator of market volatility, trend's direction and strength.

Keltner / Bollinger Band based squeeze with MACD for trend direction. Chart and RadarScreen with alerts.

ADTA leverages CrewAI and OpenAI's LLM Model for market analysis, signal generation, and risk management—operating strictly during US market hours.

BB MACD uses built-in moving averages and standard deviation indicators to create Bollinger Bands on MACD MetaTrader indicator.

This repository is a collection of open-source use-case examples of algorithmic or quant trading in Python.

A Stock Prices Analytics Dashboard, comprising of python codes for price predictions, technical indicators, and dashboard hosting

Bollinger Squeeze Basic is a histogram indicator of volatility and trend direction.