ahmedengu / feature_importanceLinks
Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators
☆10Updated 5 years ago
Alternatives and similar repositories for feature_importance
Users that are interested in feature_importance are comparing it to the libraries listed below
Sorting:
- Trend Prediction for High Frequency Trading☆42Updated 2 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- ☆19Updated 5 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆66Updated 2 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 5 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 6 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆19Updated 2 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- ☆19Updated 4 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
- A low frequency statistical arbitrage strategy☆20Updated 6 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 6 years ago
- ML pipeline for SmartBeta momentum factor on equity portfolio☆11Updated 9 years ago
- ☆16Updated 3 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 11 months ago
- OpenAI Gym Environment for Low-Latency Trading☆18Updated 7 years ago
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆26Updated 7 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆48Updated 5 years ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆33Updated 6 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Updated 10 months ago
- ☆28Updated 2 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 4 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 years ago
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆25Updated 6 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆45Updated 4 years ago
- A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal☆18Updated 8 years ago
- This repository contains an automated trading system using machine learning for stock return prediction, position sizing and generating e…☆14Updated 6 years ago