{"id":26138408,"url":"https://github.com/freddo1503/stock_news_pred","last_synced_at":"2026-04-11T07:32:21.856Z","repository":{"id":218917474,"uuid":"445601577","full_name":"freddo1503/stock_news_pred","owner":"freddo1503","description":"Web application to provide analysis-ready data (Stocks price, News, Tweets) for ML and RNN.","archived":false,"fork":false,"pushed_at":"2022-01-18T18:32:17.000Z","size":38928,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-01-24T14:31:56.809Z","etag":null,"topics":["apache-kafka","data-engineering","django","docker-compose","postgresql","python","sql"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/freddo1503.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}},"created_at":"2022-01-07T17:30:38.000Z","updated_at":"2024-01-24T14:31:59.810Z","dependencies_parsed_at":"2024-01-24T14:42:08.476Z","dependency_job_id":null,"html_url":"https://github.com/freddo1503/stock_news_pred","commit_stats":null,"previous_names":["freddo1503/stock_news_pred"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/freddo1503%2Fstock_news_pred","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/freddo1503%2Fstock_news_pred/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/freddo1503%2Fstock_news_pred/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/freddo1503%2Fstock_news_pred/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/freddo1503","download_url":"https://codeload.github.com/freddo1503/stock_news_pred/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242956543,"owners_count":20212455,"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":["apache-kafka","data-engineering","django","docker-compose","postgresql","python","sql"],"created_at":"2025-03-11T01:58:04.926Z","updated_at":"2025-12-16T06:11:51.163Z","avatar_url":"https://github.com/freddo1503.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Stock prices prediction with RNN and Stock News Sentiment Analysis.\nThe main purpose of this personal project it's to setup a entire infrastructure required for the ingestion, processing, and storage of data from third-party APIs.  \nProgramming language and technologies used:\n- Python, SQL, Pandas, Apache Spark, Airflow, Django, FastAPI, Streamlit, Bootstrap\n- AWS EC2 (Ubuntu), Docker, PostgreSQL, Kafka, ZooKeeper\n\nFrom the [project](https://github.com/FrCloers/stock_news_pred) carried out at the end of the Data science bootcamp at Le Wagon, I want to create a data repository and provide for users ready-to-use data (news, tweets and stock prices) for analysis, ML and RNN.\n\u003cbr\u003e\u003cbr /\u003e\nwhat is being done ?\n- Containerize the monolithic application (easier scaling, flexibility to work and create functionality, easier management, improved security by isolating applications)\n- Collect data from disparate sources in a postgreSQL database.\n    - [Alpha vantage](https://www.alphavantage.co/documentation/)\n    - [EOD Historical data](https://eodhistoricaldata.com/financial-apis/financial-news-api/)\n    - [Twitter API](https://developer.twitter.com/en/docs/twitter-api)\n- Data processing and storage : \n    1. Created pipelines ETL for Data warehouse (Amazon Redshift or Snowflake).\n    2. Stream processing for real-time data access (newest) (Apache Spark)\n- User interface :\n    - backend : Django\n    - frontend : Bootstrap, streamlit (https://colorlib.com/polygon/elaadmin/)\n## Infrastructure  \n\u003cimg src=\"https://docs.google.com/drawings/d/e/2PACX-1vT__ZhdYUCwcakf5-tnuEDev2UXDrCnYE2dP62SLgbIrfUz0Eb_GKW-On-toyCjKPzr1sdn7X2et1um/pub?w=480\u0026amp;h=360\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffreddo1503%2Fstock_news_pred","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffreddo1503%2Fstock_news_pred","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffreddo1503%2Fstock_news_pred/lists"}