KieranLitschel / PredictingClosingPriceTomorrowLinks
Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.
☆25Updated 3 years ago
Alternatives and similar repositories for PredictingClosingPriceTomorrow
Users that are interested in PredictingClosingPriceTomorrow are comparing it to the libraries listed below
Sorting:
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 8 years ago
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 7 years ago
- Using Machine Learning for live currency trading☆37Updated 7 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimization☆68Updated 8 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- Algo trading project with news scraping and Interactive Brokers Python API☆26Updated 10 years ago
- Hedging portfolios with reinforcement learning.☆36Updated 8 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆59Updated 7 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆71Updated 8 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- finance☆43Updated 8 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Python library for backtesting technical/mechanical strategies in the stock and currency markets☆102Updated 8 years ago
- Fractal Adaptive Moving Average☆26Updated 4 years ago
- Quantopian Pairs Trading algorithm implementation.☆64Updated 8 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆61Updated 5 years ago
- Futures trading database/backtester/analysis☆19Updated 6 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.☆92Updated 2 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆50Updated 4 years ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆27Updated last year
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆27Updated 8 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆52Updated 5 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
- A Python toolkit for high-frequency trade research.☆42Updated 7 years ago
- Multi Strategy Trading Algorithm☆48Updated 8 years ago
- Another attempt to use Deep-Learning in the financial markets☆56Updated 2 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 8 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Updated 8 years ago