algorithmictradinglstm / LSTM-Neural-Network-for-Time-Series-Prediction-masterLinks
LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
☆11Updated 6 years ago
Alternatives and similar repositories for LSTM-Neural-Network-for-Time-Series-Prediction-master
Users that are interested in LSTM-Neural-Network-for-Time-Series-Prediction-master are comparing it to the libraries listed below
Sorting:
- A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is cate…☆23Updated 4 years ago
- Backtesting an RSI Trading Algorithm with Quantopian Zipline and Pyfolio Python Libraries☆20Updated 5 years ago
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- Using Bollinger Bands to implement a trading strategy☆17Updated 4 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 6 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆44Updated 5 years ago
- Source Codes for "Contrarian Trading Strategies in Python"☆80Updated 2 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆69Updated 5 years ago
- QuickFIX wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via FIX Protocol v4.4☆17Updated 3 years ago
- Using a dataset of hedge fund indices, I had computed various risk parameters, explicitly Value at risk (VaR), drawdown and deviation fro…☆26Updated 5 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆49Updated 4 years ago
- Interactive brokers integration for live trading using Rob Carver's pysystem trade backtester.☆10Updated 7 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆57Updated 5 years ago
- A genetic algorithm incorporated with technical analysis indicator to optimize parameters of a strategy.☆29Updated 4 years ago
- Python code given in book Trading Pairs by Anjana Gupta.☆23Updated 4 years ago
- A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization☆63Updated 5 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆103Updated 6 years ago
- High-frequency trading in a limit order book☆59Updated 6 years ago
- Dynamic algorithmic trading systems in Python using Interactive Broker's Python API☆23Updated 4 years ago
- MQL5 Expert Advisor for algo traders☆19Updated 4 years ago
- TradeBreakOut is a minimum/maximum breakout oscillator that can help you trade range breakouts across multiple timeframes.☆13Updated 4 months ago
- ☆36Updated 3 years ago
- FTMO Bot de trading☆13Updated 2 years ago
- Easy Trend Visualizer indicator helps detect and mark trends, which can help you to avoid sideways markets.☆12Updated 6 months ago
- ☆15Updated 4 years ago
- Deep Learning – Artificial Neural Network Using TensorFlow In Python☆41Updated 5 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆71Updated 2 years ago
- Code snippets for Alpha Vantage Introduction Guide published on AlgoTrading101's Blog☆11Updated 2 years ago
- Example of order book modeling.☆58Updated 6 years ago
- CAPSTONE Project for Msc Financial Engineering☆12Updated 6 years ago