Boburmirzo / genetic-Meyer-Packard-AlgorithmLinks
Predicting a Stock Price Using a Genetic Algorithm
☆16Updated 7 years ago
Alternatives and similar repositories for genetic-Meyer-Packard-Algorithm
Users that are interested in genetic-Meyer-Packard-Algorithm are comparing it to the libraries listed below
Sorting:
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 4 years ago
- A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal☆17Updated 8 years ago
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Updated 4 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- Futures trading database/backtester/analysis☆19Updated 6 years ago
- convertible bond pricing☆13Updated 10 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Updated 3 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 9 years ago
- finance☆43Updated 7 years ago
- Python Program to predict Intra-day stocks☆12Updated 6 years ago
- A Python toolkit for high-frequency trade research.☆41Updated 7 years ago
- Use Neural Network as a trading strategy model☆29Updated 7 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆25Updated 7 years ago
- Channel break out strategy for High Frequency Trading.☆14Updated 7 years ago
- This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of dif…☆13Updated 7 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12Updated 4 years ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆33Updated 6 years ago
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…☆11Updated 5 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 7 years ago
- ☆19Updated 4 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆14Updated 3 years ago
- Study of price volume data to analyze an order imbalance strategy for Bitcoin on BitMEX platform☆11Updated 6 years ago
- I use the random forest algorithm to forecast mid price dynamic over short time horizon i.e. a few seconds ahead☆28Updated 5 years ago
- ☆18Updated 6 years ago
- Multi Strategy Trading Algorithm☆48Updated 7 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 10 months ago
- Collections of snippets for trading I find interesting☆26Updated 5 months ago
- Algorithmic Trading with Machine Learning☆15Updated 9 years ago
- Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market…☆16Updated 3 years ago