DaoCalendar / MoGo
Open Source Genetic Optimizer for the NinjaTrader platform
☆16Updated 15 years ago
Alternatives and similar repositories for MoGo:
Users that are interested in MoGo are comparing it to the libraries listed below
- A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal☆16Updated 7 years ago
- Custom modifications, indicators and strategies for the NT platform☆43Updated 12 years ago
- "High Frequency" style trading algo based on the Dempster-Shafer fusion theory in C# using the Interactive Brokers API.☆32Updated 5 years ago
- My Collection of NinjaTrader Custom Indicator☆15Updated 8 years ago
- Algo trading project with news scraping and Interactive Brokers Python API☆26Updated 9 years ago
- Reads the ticks from a NinjaTrader .ntd historical tick data file.☆16Updated 4 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 8 years ago
- A method of using genetic algorithm to optimize trading strategies based on technical indicators☆9Updated 9 years ago
- Multi Strategy Trading Algorithm☆46Updated 7 years ago
- ☆9Updated 11 years ago
- ☆10Updated 6 years ago
- A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python☆9Updated 9 years ago
- Written in a proprietary language called EasyLanguage for the trading software Tradestation.☆24Updated 4 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
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 6 years ago
- An example and description to Reinforcement Learning DQN model and dataformats for trading☆16Updated 5 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 6 years ago
- Trading Bitcoin with Deep Reinforcement Learning☆18Updated 5 years ago
- A simple implementation of a pairs trading strategy☆13Updated 9 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- Use machine learning to trade bitcoin.☆10Updated 3 years ago
- (C#) For the semi-discretionary trader, there is a feature lacking in NinjaTrader which is easily remedied with a little C# code: customi…☆13Updated 10 years ago
- Stock and Forex market prediction using ML and time-series modelling☆36Updated 6 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆21Updated 3 years ago
- Channel break out strategy for High Frequency Trading.☆13Updated 6 years ago
- A Java ATS for market-depth-based trading strategies☆37Updated 9 years ago
- (C#) An interesting enhancement is adding the bid and ask size differential horizontally next to each candlestick. The idea is easy to gr…☆14Updated 10 years ago