TheWCKD's Stars
quantopian/zipline
Zipline, a Pythonic Algorithmic Trading Library
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
DeviaVir/zenbot
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
je-suis-tm/quant-trading
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
quantopian/pyfolio
Portfolio and risk analytics in Python
olexale/flutter_roadmap
Highly Subjective Roadmap to Flutter Development
tensortrade-org/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
quantopian/alphalens
Performance analysis of predictive (alpha) stock factors
shirosaidev/stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
notadamking/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
LastAncientOne/Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
alpacahq/Momentum-Trading-Example
An example algorithm for a momentum-based day trading strategy.
yacoubb/stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
uniVocity/univocity-trader
open-source trading framework for java, supports backtesting and live trading with exchanges
miro-ka/mosquito
Trading Bot with focus on Evolutionary Algorithms and Machine Learning
hugocen/freqtrade-gym
A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.
jeffersonlicet/snipped
🖥️ 🖼️ Create fancy screenshots of your code without leaving the editor.
RajdeepKonwar/stockast
Predict stock market pricing over 180 minutes using Black-Scholes stochastic modeling and parallel Monte-Carlo simulations.
manuwhs/Trapyng
Python library to implement advanced trading strategies using machine learning and perform backtesting.
gregyjames/stocktwits-sentiment
Stocktwits market sentiment analysis in Python with Keras and TensorFlow.
DemaciaLarz/TDQN-in-keras
Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.
antoniocosentino/Chasm
A cAlgo bot experiment, using Gap Trading Strategies
jhleong-quant-finance/R-Buy-On-Gap
A set of projects which illustrate the implementation of the 'buy on gap' trading strategy.
quantrocket-codeload/sell-gap
Intraday Zipline strategy for US stocks that sells stocks which gap below their moving average after previously trading above it. Demonstrates live trading.
Andrew-Biggins/GapTrader