{"id":19014395,"url":"https://github.com/parrondo/forex_py","last_synced_at":"2025-10-10T11:37:57.073Z","repository":{"id":88357563,"uuid":"135934458","full_name":"parrondo/forex_py","owner":"parrondo","description":"[WIP] predicting forex.","archived":false,"fork":false,"pushed_at":"2018-03-16T00:59:59.000Z","size":35,"stargazers_count":1,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-21T16:48:15.560Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":false,"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/parrondo.png","metadata":{"files":{"readme":"README.rst","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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-06-03T19:35:43.000Z","updated_at":"2021-07-06T01:47:39.000Z","dependencies_parsed_at":null,"dependency_job_id":"bd1371f7-2058-4c82-a8bd-4d1eb7615159","html_url":"https://github.com/parrondo/forex_py","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/parrondo/forex_py","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parrondo%2Fforex_py","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parrondo%2Fforex_py/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parrondo%2Fforex_py/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parrondo%2Fforex_py/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/parrondo","download_url":"https://codeload.github.com/parrondo/forex_py/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parrondo%2Fforex_py/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274402703,"owners_count":25278348,"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","status":"online","status_checked_at":"2025-09-10T02:00:12.551Z","response_time":83,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":[],"created_at":"2024-11-08T19:29:09.708Z","updated_at":"2025-10-10T11:37:52.050Z","avatar_url":"https://github.com/parrondo.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Status\n=========\n\n.. image:: https://travis-ci.org/0h-n0/forex_py.svg?branch=master\n   :target: https://travis-ci.org/0h-n0/forex_py\n\n.. image:: https://readthedocs.org/projects/forex-py/badge/?version=latest\n   :target: http://forex-py.readthedocs.io/en/latest/?badge=latest\n   :alt: Documentation Status\n\n.. image:: https://coveralls.io/repos/github/0h-n0/forex_py/badge.svg\n   :target: https://coveralls.io/github/0h-n0/forex_py\n\n\n.. image:: https://codeclimate.com/github/0h-n0/forex_py/badges/gpa.svg\n   :target: https://codeclimate.com/github/0h-n0/forex_py\n   :alt: Code Climate\n         \n\nCONCEPT\n----------\n\nFrxpy is just a `test` tool to know whether DeepLearning predict a forex market. So, Frxpy doesn't provide the best prediction for a market. Of course, Frxpy may lead the completely wrong predictions. If you use this for your real trading and lose a lot of money, you have to take `all the responsibility on yourself`.\n\nCONTENTS\n----------\n\n* predict FOREX with deep learning.\n* get the best trading strategy with reinforcement learning.\n\nTODO\n----------\n\n\n* add tensorboard for visulaization.\n* add Deeplearning.\n            \n\nforex_py\n----------\n\npredicting forex.\n\n.. more discription.\n\nDownload\n-----------\n\n.. code-block::\n\n   git clone https://github.com/0h-n0/forex_py.git\n   # or\n   wget https://github.com/0h-n0/forex_py/archive/master.zip\n   unzip master.zip\n\nInstall(build\u0026install)\n-----------\n\nbuild Envrionment\n*****************\n\n.. code-block::\n\n   $ wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh\n   \nInstall frxpy\n*****************\n\n\n.. code-block::\n\n   cd forex_py\n   python3 setup.py install\n\n   \nDocs\n-----------\n\n.. code-block::\n\n   cd forex_py\n   cd docs\n   make html\n   firefox build/html/index.html\n   \n   \nWhere do I get data?\n--------------------\n\nHistdata provides histrical forex data. The data is available for free.\n\n* http://www.histdata.com/\n\nsuported data type\n*************\n\n* Tick Data\n* Generic .CSV File\n\ngap treatment  \n************\n\nThere are gaps in data. So, I convert the gaps to the averages\nbetween the value before the gaps and the value after the gaps.\n\n\nExamples\n---------------------  \n\nCommand-line interface\n***********************\n\n.. code-block::\n\n   frxpy --input --buy\n   \nAPI of python3\n***********************\n\nI assume that forex_py is used in python-scripts. So, Python3-APIs of forex_py is more poweful and\nfrexible than command-line interface.\n\n.. code-block::\n\n   import frxpy\n   \nSupported Data Base \u0026 Serializer\n--------------------\n\nIn progress...\n\n* sqlite3\n* leveldb\n* mysql  \n* hdf5\n* postgresql\n* tinydb\n* protobuf\n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparrondo%2Fforex_py","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fparrondo%2Fforex_py","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparrondo%2Fforex_py/lists"}