omerbsezer / SparkMlpDow30
A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)
☆36Updated 7 years ago
Alternatives and similar repositories for SparkMlpDow30:
Users that are interested in SparkMlpDow30 are comparing it to the libraries listed below
- A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets☆147Updated last month
- A Java framework for backtesting and trading☆55Updated 7 years ago
- A Java ATS for market-depth-based trading strategies☆37Updated 9 years ago
- Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics☆54Updated 6 years ago
- QuantComponents - Free Java components for Quantitative Finance and Algorithmic Trading☆163Updated 6 years ago
- Java library for high frequency portfolio analysis, intraday backtesting and optimization☆20Updated 8 years ago
- If you are professionals, retailers or even organisms trading on a financial market, you know that data given on online platforms is not …☆34Updated 9 years ago
- Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS AP…☆168Updated 2 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
- Automatically trades NYSE stocks and ETFs using three high-frequency trading strategies☆64Updated 9 months ago
- chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic por…☆20Updated 3 years ago
- Algorithmic trading platform☆9Updated 2 years ago
- archiving old code☆26Updated 7 years ago
- Hexital - Incremental Technical Analysis Library☆20Updated this week
- Historical market data downloader using Interactive Brokers TWS☆58Updated 5 years ago
- Python for Trading Meetup (December 3, 2019)☆19Updated 5 years ago
- A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python☆89Updated 2 years ago
- Scalping day trading strategy☆39Updated 4 years ago
- FX algorithm trading system with Java/kdb. (Open Source limited version)☆39Updated 9 years ago
- A Python toolkit for high-frequency trade research.☆41Updated 6 years ago
- Automated Trading Bot with OANDA REST API implementation and discussed in my book Developing Trading Bot in JAVA.☆68Updated 7 years ago
- A solution to critical stages of algorithmic trading system development using Interactive Broker's Java API☆57Updated 5 years ago
- Java/MySQL real-time algorithmic trading using Interactive Brokers API☆251Updated last year
- Python library to implement advanced trading strategies using machine learning and perform backtesting.☆39Updated 5 years ago
- ☆36Updated 6 years ago
- Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics☆124Updated this week
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- Price Prediction with Machine Learning Models (practicum project at CME group)☆67Updated 8 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆45Updated 4 years ago
- HFTrader is fully automated high frequency trading system☆92Updated 12 years ago