Moozzart / Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Prices-and-PerformancesLinks
Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficult and next to impossible to do. This is because there are numerous patterns in the stock prices trend throughout the day and every variation from the normal trend could mean something new, since stocks is ever…
☆16Updated 5 years ago
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
Sorting:
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Updated 3 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 5 years ago
- Study of price volume data to analyze an order imbalance strategy for Bitcoin on BitMEX platform☆11Updated 6 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12Updated 4 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated last year
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 6 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆70Updated 2 years ago
- Market making strategies and scientific papers☆14Updated 2 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆27Updated last year
- A low frequency statistical arbitrage strategy☆20Updated 6 years ago
- 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
- Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University …☆43Updated 3 years ago
- 2 algorithms of optimal trade execution: 1) Dynamic Programming 2) Frank-Wolfe Algorithm (Python & C++)☆18Updated 6 years ago
- ☆19Updated 5 years ago
- 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
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 5 years ago
- Allows the generation of optimal portfolios with CoIn, Gumbel, and no copula constraint for the stochastic interest rate - constant elast…☆14Updated 2 years ago
- 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
- These are trading results and arbitrage models from Southern China Center for Statistical Science (SC2S2), Sun Yat-sen University☆22Updated 7 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- This is the final project of Statistical Arbitrage course and it aims to apply pairs trading in high frequency data to realize auto-tradi…☆19Updated 7 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆24Updated 6 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆70Updated last year
- Channel break out strategy for High Frequency Trading.☆15Updated 7 years ago
- ☆11Updated 5 years ago
- ☆12Updated 2 years ago