riron1206 / candlestick_model
☆23Updated 4 years ago
Alternatives and similar repositories for candlestick_model:
Users that are interested in candlestick_model are comparing it to the libraries listed below
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆60Updated 4 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆62Updated last year
- In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Ne…☆19Updated 3 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆31Updated 6 years ago
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆119Updated 5 years ago
- Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden sta…☆33Updated 4 years ago
- A financial trading method using machine learning.☆60Updated 2 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆80Updated 2 years ago
- Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies☆11Updated 2 years ago
- Multi Task Learning Time Series Momentum☆20Updated 11 months ago
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆44Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆48Updated 5 years ago
- Pair Trading Strategy using Machine Learning written in Python☆116Updated 2 years ago
- ☆50Updated 4 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆66Updated 3 years ago
- Optimizing the Pairs-Trading Strategy using Deep Reinforcement Learning with Trading and Stop-loss Boundaries☆13Updated 3 years ago
- Implements different approaches to tactical and strategic asset allocation☆31Updated 4 months ago
- Mean-Variance Optimization using DL (pytorch)☆31Updated 3 years ago
- Tracking S&P 500 index with deep learning model☆12Updated last year
- X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies☆75Updated last year
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆34Updated 4 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆26Updated 2 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆32Updated 11 months ago
- ☆23Updated 2 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆27Updated last week
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- A network tries to predict movements in stock prices based on a picture of a time series stock price.☆40Updated 4 years ago
- detecting regime of financial market☆36Updated 2 years ago
- CNNpred: CNN-based stock market prediction using a diverse set of variables☆71Updated 4 years ago