{"id":20735070,"url":"https://github.com/kenatsf/asset-fall-prediction","last_synced_at":"2026-05-17T06:38:15.371Z","repository":{"id":118670118,"uuid":"456785302","full_name":"KenatSF/Asset-fall-prediction","owner":"KenatSF","description":"Model prediction","archived":false,"fork":false,"pushed_at":"2022-03-10T23:04:06.000Z","size":6278,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-16T08:06:19.368Z","etag":null,"topics":["binomial-model","bitcoin","google-trends","marchinelearning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["binomial-model","bitcoin","google-trends","marchinelearning"],"created_at":"2024-11-17T05:34:17.412Z","updated_at":"2026-05-17T06:38:15.338Z","avatar_url":"https://github.com/KenatSF.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Bitcoin prediction\n\n## Dependencies\n\n* R version 3.6.2\n* Python version 3.8.2\n\n## Prediction\n\nThe correct prediction of any asset is almost impossible, however, one must try it.\n\n* Making use of google trends data in words such as [Bitcoin, Blockchain, debt, dollar, ...].\n* Getting Bitcoin data such as open_time, close_price.\n* Getting the returns from close_price.\n* Merging both data bases to built the training and testing bases.\n* Comparing multiples models to get the best option.\n\nBest model with minimum number of variables.\n```\n     glm(y ~ banking.system + bce + bill.gates + bitcoin.alert + \n                    bitcoin.bubble + bitcoin.dump + bitcoin.hack + bitcoin.whales + \n                    bitcoin + blockchain + coingecko + cryptonews + debt.jubilee + \n                    financial.independence + housing.market + jerome.powell + \n                    microsoft + ray.dalio + real.economy + real.estate + satoshi.nakamoto + \n                    vitalik.buterin + volatility + amazon + apple + bitcoin.twitter + \n                    ethereum + smart.contracts + sec + facebook + fed,\n                data = db_training, family = 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