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.

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

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

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 AuraIntelligence combines narrative sentiment from 50+ sources with industry-standard technical analysis to produce BUY/SELL/HOLD signals with confidence (45–92%). Built for manual traders. No auto-trading — you decide, the AI informs.

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

Monorepo for trading algorithms

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 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.

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

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

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

A comprehensive Python library for calculating popular technical indicators used in financial markets. This repository provides efficient implementations of indicators like Supertrend, RSI, ADX, Bollinger Bands, Heikin Ashi, and more. The goal is to offer a reliable foundation for analyzing market trends and creating trading strategies.

Python library to design and combine operators on time series using Tensorflow.

Meet Our Al-Driven "Multi-Agent System" for Intelligent Financial Analysis, Predictive Trading, and Risk Management. (We are facing some issues in hosting, we'll be back soon. Meanwhile working sub-domain - chat.finforesight.dev )

Test technical indicators