rosdyana / CNN-Financial-DataLinks
Deep Trading using Convolutional Neural Network
☆29Updated 8 years ago
Alternatives and similar repositories for CNN-Financial-Data
Users that are interested in CNN-Financial-Data are comparing it to the libraries listed below
Sorting:
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆53Updated 5 years ago
- Awesome machine learning for trading☆55Updated 7 years ago
- Trend Prediction for High Frequency Trading☆42Updated 3 years ago
- Pairs Trading with Machine Learning on Distributed Python Platform☆124Updated 3 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 6 years ago
- High Frequency Trading☆110Updated 7 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 4 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 8 years ago
- ☆74Updated 3 years ago
- Price Prediction with Machine Learning Models (practicum project at CME group)☆71Updated 9 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆109Updated 6 years ago
- Deep Reinforcement Learning For Trading☆108Updated last year
- Stock Prediction with XGBoost: A Technical Indicators' approach☆31Updated 6 years ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆33Updated 6 years ago
- ☆143Updated 3 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Updated 8 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆38Updated 5 years ago
- High frequency AI based algorithmic trading module.☆74Updated 9 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆126Updated 6 years ago
- Some trading strategies implemented using Backtrader☆29Updated 6 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 8 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆70Updated last year
- Pairs trading strategy that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for …☆35Updated last year
- Neural Network for HFT-trading [experimental]☆88Updated 4 years ago
- Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulation…☆135Updated 7 years ago
- ☆32Updated 2 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
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆28Updated 8 years ago