{"id":25452838,"url":"https://github.com/yllvar/kucoinfutures_ob_ta","last_synced_at":"2025-05-16T13:10:35.261Z","repository":{"id":183216967,"uuid":"669782906","full_name":"yllvar/KucoinFutures_OB_TA","owner":"yllvar","description":"Aggregated Order Book Imbalance technical analysis on Kucoin Futures using CCXT","archived":false,"fork":false,"pushed_at":"2023-07-23T14:54:17.000Z","size":15,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-17T23:42:26.138Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/yllvar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-23T12:15:24.000Z","updated_at":"2024-01-14T23:24:18.000Z","dependencies_parsed_at":"2025-02-17T23:41:49.948Z","dependency_job_id":"85957550-12d5-4dc5-a0ac-a159cf9fd15f","html_url":"https://github.com/yllvar/KucoinFutures_OB_TA","commit_stats":null,"previous_names":["yllvar/kucoinfutures_ob_ta"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FKucoinFutures_OB_TA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FKucoinFutures_OB_TA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FKucoinFutures_OB_TA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FKucoinFutures_OB_TA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yllvar","download_url":"https://codeload.github.com/yllvar/KucoinFutures_OB_TA/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254535822,"owners_count":22087399,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-17T23:41:46.092Z","updated_at":"2025-05-16T13:10:35.241Z","avatar_url":"https://github.com/yllvar.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Crypto Trading Analysis with Aggregated Order Book Data\n\nThis project is a Python script that performs crypto trading analysis using aggregated order book data. It fetches historical OHLCV (Open, High, Low, Close, Volume) data for selected symbols from a cryptocurrency exchange and calculates various trading indicators, support/resistance levels, and entry signals based on order book metrics.\n\n## Table of Contents\n- [Introduction](#introduction)\n- [Prerequisites](#prerequisites)\n- [Installation](#installation)\n- [Configuration](#configuration)\n- [Usage](#usage)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Introduction\n\nCrypto Trading Analysis with Aggregated Order Book Data is a Python script that combines historical price data with real-time order book data to perform trading analysis for selected cryptocurrency symbols. The script calculates the Simple Moving Average (SMA) over different timeframes and identifies potential entry signals for long and short positions based on order book metrics.\n\nThe script uses the ccxt library to interact with the Kucoin Futures exchange and fetches both OHLCV data and Level 3 order book data for the specified symbols. The analysis is performed using popular Python libraries such as pandas, pandas_ta, and numpy.\n\n## Prerequisites\n\nBefore running the script, ensure you have the following prerequisites installed:\n\n1. Python 3.7 or higher\n2. ccxt library (`pip install ccxt`)\n3. pandas library (`pip install pandas`)\n4. pandas_ta library (`pip install pandas_ta`)\n5. numpy library (`pip install numpy`)\n6. dotenv library (`pip install python-dotenv`)\n\n## Installation\n\n1. Clone this repository to your local machine:\n\n```bash\ngit clone https://github.com/yourusername/cryptotrading-analysis.git\ncd cryptotrading-analysis\n\nInstall the required Python libraries using pip:\npip install ccxt pandas pandas_ta numpy python-dotenv\n\n## Configuration\nBefore running the script, you need to provide your Kucoin Futures API credentials in the .env file. Create a new file named .env in the project root directory and add the following lines:\n\nAPI_KEY=YOUR_KUCOIN_API_KEY\nSECRET_KEY=YOUR_KUCOIN_SECRET_KEY\nPASSPHRASE=YOUR_KUCOIN_PASSPHRASE\n\nReplace YOUR_KUCOIN_API_KEY, YOUR_KUCOIN_SECRET_KEY, and YOUR_KUCOIN_PASSPHRASE with your actual Kucoin Futures API credentials. (Passphrase is not your trading passwords)\n\n## Usage\nTo run the analysis script, simply execute the main Python script:\n\npython main.py\n\nThe script will fetch historical OHLCV data, calculate SMA, fetch order book data, and analyze the trading signals for the specified symbols and timeframes. The analysis results will be displayed on the console, and the script will keep running to provide real-time updates at regular intervals.\n\nContributing\nIf you would like to contribute to this project, you can fork the repository and create a pull request with your proposed changes. \n\nFreelance\nI'm open for a freelance job in the nieche of algorithmic trading \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyllvar%2Fkucoinfutures_ob_ta","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyllvar%2Fkucoinfutures_ob_ta","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyllvar%2Fkucoinfutures_ob_ta/lists"}