proxyanonymous's Stars
SparkAbhi/SignalProcessingWithPython
Signal processing examples in python
goldmansachs/gs-quant
Python toolkit for quantitative finance
letianzj/QuantResearch
Quantitative analysis, strategies and backtests
clfrenchgit/gdax-bot
HFT signals on GDAX
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
xweipbcsf/Machine-Learning-and-Reinforcement-Learning-in-Finance-1
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
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
mikinty/Trading-Curriculum
Curating resources for learning how to trade
Firenze11/finance_lm
Language model for investment analysis
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Leci37/TensorFlow-stocks-prediction-Machine-learning-RealTime
Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:
nmchaves/stock-portfolio-selection
Experiments studying ensemble methods for stock portfolio selection
shashankvemuri/Finance
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
paperswithbacktest/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
proxyanonymous/trading_with_ta_backtesting
Trading backtesting with technical indicators
JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
proxyanonymous/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
imaheshdivakaran/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
cvxgrp/cvxportfolio
Portfolio optimization and back-testing.
gautier-marti/awesome-financial-networks
awesome-financial-networks
praveenjaikant/MarketRegimePrediction
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
dpguthrie/yahooquery
Python wrapper for an unofficial Yahoo Finance API
liorsidi/sp500-stock-similarity-time-series
Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.
atreadw1492/yahoo_fin
Scrape stock price history from new (Spring 2017) Yahoo Finance layout
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
JECSand/yahoofinancials
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.
NayakwadiS/mftool
⚡ Python library for getting publically available Mutual Funds data in India