Alternatives and similar repositories for Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Prices-and-Performances

Users that are interested in Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Prices-and-Performances are comparing it to the libraries listed below

• egorrazzhivin / HFT-Market-Making
  Market making strategies and scientific papers
  ☆14Updated 2 years ago
• Boburmirzo / genetic-Meyer-Packard-Algorithm
  Predicting a Stock Price Using a Genetic Algorithm
  ☆16Updated 7 years ago
• Git053 / Limit-Orderbook
  Limit Order Book for high-frequency trading (HFT) strategies using data science approaches
  ☆24Updated 3 years ago
• xixi0222 / Find-Alpha-Volatility-Factor
  Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.
  ☆12Updated 4 years ago
• sanjeevai / order-imbalance
  Study of price volume data to analyze an order imbalance strategy for Bitcoin on BitMEX platform
  ☆11Updated 6 years ago
• dksifoua / Stock-Market-Prediction
  Stock Market Prediction on High-Frequency Data Using soft computing based AI models
  ☆22Updated last year
• Weichong515 / Algo-Trading-14
  Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm
  ☆15Updated 6 years ago
• ShreshthSaxena / Algorithmic-Trading
  LSTM stock prediction and backtesting
  ☆14Updated 5 years ago
• quantrocket-codeload / calspread
  Intraday trading strategy for futures calendar spreads. Uses crude oil futures and 1-minute bid/ask bars from Interactive Brokers with a …
  ☆15Updated last year
• jo-cho / trading-rules-using-machine-learning
  Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.
  ☆69Updated 2 years ago
• PierreNowi / cs230-project
  Deep Reinforcement Learning Framework for Factor Investing
  ☆29Updated 2 years ago
• wellbeing18 / pgm-oil
  We propose using Probabilistic Graphical Models such as Bayesian Networks and Hidden Markov Models to construct a global-macro trading st…
  ☆11Updated 7 years ago
• tqa236 / LSTM_algo_trading
  Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"
  ☆19Updated 5 years ago
• quantrocket-codeload / trend-day
  Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …
  ☆27Updated last year
• riyersk / HFTrading
  Building a High Frequency Trading Engine with Neural Networks
  ☆12Updated 7 years ago
• erectfully / Hftish
  Alpaca-based Order Book Inbalace Algorithm.
  ☆12Updated 5 years ago
• YINDAIYING / Deep-Robust-Statistical-Arbitrage
  This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…
  ☆69Updated last year
• tiagomonteirocardoso / Deep-Reinforcement-Learning-in-MultiDimensional-Pairs-Trading
  A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed
  ☆21Updated 6 years ago
• jo-cho / meta_labeling_simplified
  Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…
  ☆15Updated 4 years ago
• michaelsyao / GammaScalping
  Option Strategy for Futures
  ☆16Updated 5 years ago
• BlackArbsCEO / hypothesis_driven_strategy_development
  ☆12Updated 2 years ago
• rbeeli / short-term_momentum_strategy
  Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University …
  ☆43Updated 3 years ago
• benzyx / tamit2019
  High Frequency Trading bot for 2019 Traders at MIT, HFT Case. I placed 4th in the HFT competition (2nd overall) out of 120.
  ☆19Updated 6 years ago
• Hongtao-Lin / HFT-Prediction
  Machine learning approach to high frequency trading, MLP & RNN used
  ☆22Updated 9 years ago
• tjmcrill / automated_trading
  High Frequency Trading (HFT) done using the Alpaca Trade API and Python.
  ☆25Updated 6 years ago
• LastAncientOne / Trading-Strategies-in-Emerging-Markets-Coursera
  Design your own Trading Strategy
  ☆39Updated last year
• shuangology / Machine-Learning-for-Asset-Managers
  Implementation of code snippets and exercises in the book Machine Learning for Asset Managers written by Prof. Marcos López de Prado.
  ☆16Updated 5 years ago
• schepal / crypto_gamma_exposure
  A research project to study the gamma exposure of market-makers in Bitcoin option markets.
  ☆15Updated 5 years ago
• yc3566 / Optimal-Trade-Execution-Algorithm-Market-Impact-Model
  2 algorithms of optimal trade execution: 1) Dynamic Programming 2) Frank-Wolfe Algorithm (Python & C++)
  ☆18Updated 5 years ago
• actuarialsnail / blsh-lob-bot
  Limit Orderbook CNN model implementation for ETH-BTC (buy-low-sell-high indicator)
  ☆17Updated 2 years ago