#Bollinger-bands
Showing 16 of 16 repositories tagged #bollinger-bands, ranked by stars
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
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. โจ See how! ๐
A collection of indicators written in Pine script for TradingView platform.
๐ The production-ready and incredibly-fast python library to support stock statistics and indicators, based on `pandas.DataFrame`
Scripts for using on Binary.com Bots.
Financial indicators for use with Data-Forge
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
quantitative trading strategies including VIX Calculator, Pattern Recognition, Monte Carlo, Heikin-Ashi, Pair Trading
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 โญ๏ธ to support it
Streaming-first technical indicators with a Rust core and Python, Node.js, WebAssembly, C ABI, .NET, Go, Java, and R bindings. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
Monorepo for trading algorithms
A stock screener that detect consolidation based on Bollinger Bands and Keltner channels
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.
ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
This repository is a collection of open-source use-case examples of algorithmic or quant trading in Python.