riron1206 / candlestick_model
☆23Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for candlestick_model
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆58Updated 3 years ago
- Pair Trading Strategy using Machine Learning written in Python☆112Updated 2 years ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆51Updated 4 years ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆78Updated 3 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆49Updated 8 months ago
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆106Updated 4 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 2 years ago
- ☆13Updated 5 years ago
- 复现华泰证 券《强化学习初探与DQN择时》研报中的DQN模型与效果☆26Updated 2 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆63Updated 3 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…☆28Updated 4 years ago
- A financial trading method using machine learning.☆58Updated last year
- Developing hybrid deep learning models by integrating Neural networks with (s,e,t)GARCH models to predict volatility in the Indian Commod…☆14Updated 3 years ago
- ☆27Updated 6 months ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆36Updated 2 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆30Updated 4 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 6 months ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆64Updated 4 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 5 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Intra day Stock Prediction 10 minutes into the future☆102Updated 5 years ago
- A genetic programming algorithm used for generating alpha factors in the multi-factor investment strategy☆56Updated 3 years ago
- Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio…☆90Updated last year
- Collection of indicators that I used in my strategies.☆49Updated last year
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆75Updated last year
- ☆31Updated 4 years ago
- We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.☆53Updated 11 months ago
- Implements different approaches to tactical and strategic asset allocation☆26Updated last year