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:
- 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
- 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
- ☆36Updated 3 years ago
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- Deep Learning – Artificial Neural Network Using TensorFlow In Python☆41Updated 5 years ago
- MQL5 Expert Advisor for algo traders☆20Updated 5 years ago
- FTMO Bot de trading☆13Updated 2 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 6 years ago
- Using Bollinger Bands to implement a trading strategy☆17Updated 5 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆103Updated 6 years ago
- Statistical Arbitrage script using OANDA's API for autotrading Forex☆21Updated 7 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
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆58Updated 5 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
- TradeBreakOut is a minimum/maximum breakout oscillator that can help you trade range breakouts across multiple timeframes.☆13Updated 5 months ago
- Prototype of delta neutral market making strategy trading the BTCUSD perpetuals on Bybit and Binance.☆21Updated 4 years ago
- ☆51Updated 4 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆72Updated 5 years ago
- This quant framework applies algorithm trading in Crypto market. The trading pairs focus on spots, perpetuals, futures, and options in De…☆55Updated 5 years ago
- Example of adaptive trend following strategy based on Renko☆123Updated 6 years ago
- Pairs trading strategy example based on Catalyst☆49Updated 7 years ago
- Python FX trading via the OANDA V20 REST API☆17Updated 8 years ago
- Some notebooks with powerful trading strategies.☆97Updated 5 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆65Updated 6 years ago
- Source Codes for "Contrarian Trading Strategies in Python"☆80Updated 3 years ago
- In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM…