{"id":13877519,"url":"https://github.com/bukosabino/btctrading","last_synced_at":"2025-10-07T08:32:28.738Z","repository":{"id":41465446,"uuid":"88181910","full_name":"bukosabino/btctrading","owner":"bukosabino","description":"Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms","archived":false,"fork":false,"pushed_at":"2018-05-27T09:18:12.000Z","size":12030,"stargazers_count":156,"open_issues_count":3,"forks_count":47,"subscribers_count":18,"default_branch":"master","last_synced_at":"2025-01-11T23:21:02.111Z","etag":null,"topics":["bitcoin","deep-learning","deep-neural-networks","forecast","future","machine-learning","machine-learning-algorithms","prediction","price","time-series","trends","xgboost"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/bukosabino.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-04-13T15:52:04.000Z","updated_at":"2024-11-23T08:53:49.000Z","dependencies_parsed_at":"2022-08-26T09:01:24.589Z","dependency_job_id":null,"html_url":"https://github.com/bukosabino/btctrading","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bukosabino%2Fbtctrading","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bukosabino%2Fbtctrading/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bukosabino%2Fbtctrading/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bukosabino%2Fbtctrading/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bukosabino","download_url":"https://codeload.github.com/bukosabino/btctrading/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":235607145,"owners_count":19017302,"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":["bitcoin","deep-learning","deep-neural-networks","forecast","future","machine-learning","machine-learning-algorithms","prediction","price","time-series","trends","xgboost"],"created_at":"2024-08-06T08:01:05.362Z","updated_at":"2025-10-07T08:32:22.788Z","avatar_url":"https://github.com/bukosabino.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# btctrading\n\nThis is my personal code to predict the Bitcoin value using Machine Learning / Deep Learning Algorithms.\n\nWe will consider our problem as:\n\n1. Regression Problem.\n2. Classification Multiclass Problem [UP, KEEP, DOWN].\n\nGet data from https://bitcoincharts.com/charts, you can choose period, symbol and exchange market and save the datas in a csv file.\n\n\n# Deployment instructions\n\n### Installation (python3):\n\n```sh\n\u003e git clone https://github.com/bukosabino/btctrading.git\n\u003e cd btctrading\n\u003e virtualenv -p python3 virtualenvironment\n\u003e source virtualenvironment/bin/activate\n\u003e pip install -r requirements.txt\n```\n\n### Get data:\n\nAPI: http://bitcoincharts.com/charts\n\nperiod = ['1-min', '5-min', '15-min', '30-min', 'Hourly', '2-hour', '6-hour', '12-hour', 'Daily', 'Weekly']\n\nmarket = ['krakenEUR', 'bitstampUSD'] -\u003e list of markets: https://bitcoincharts.com/charts/volumepie/\n\n```sh\n\u003e python get_data.py\n```\n\n### Run\n\n```sh\n\u003e jupyter lab\n```\n\n# TODO:\n\n* Simulator validation (backtesting)\n* Add features -\u003e Global Indicators (EUR/USD, S\u0026P500, etc).\n* Add different algorithms or ideas (LSTM, Reinforcement Learning, Q-Learning).\n* Alert System (email, twitter, telegram).\n\n----\n\nDeveloped by Bukosabino at Lecrin Technologies - http://lecrintech.com\n\nPlease, let us know about any comment or feedback.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbukosabino%2Fbtctrading","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbukosabino%2Fbtctrading","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbukosabino%2Fbtctrading/lists"}