Microservices-Based-Algorithmic-Trading-System
MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.
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Download Latest Version (.zip)- Dockerfile
- requirements.txt
- Dockerfile
- README.md
- requirements.txt
- Dockerfile
- Dockerfile
- requirements.txt
- Dockerfile
- architecture-cloud.png
- architecture.png
- backtrader.png
- components.png
- logo.PNG
- logo2.png
- logo_0.PNG
- old.png
- superset2.PNG
- cred.cpython-37.pyc
- dag_dynamic.cpython-37.pyc
- dag_fx_data.cpython-37.pyc
- dag_fx_data_download copy.cpython-37.pyc
- dag_fx_data_download.cpython-37.pyc
- dag_helper_files.cpython-37.pyc
- dag_mlflowserve.cpython-37.pyc
- dag_strategy_dynamic.cpython-37.pyc
- example_dag - 2.cpython-37.pyc
- example_dag.cpython-36.pyc
- example_dag.cpython-37.pyc
- fx_data.cpython-37.pyc
- fx_oanda_daily.cpython-37.pyc
- fx_oanda_download.cpython-37.pyc
- fx_oanda_minute.cpython-37.pyc
- mlflow_test.cpython-37.pyc
- test_dag - Copy.cpython-37.pyc
- test_dag.cpython-37.pyc
- dag_fx_data_download.py
- dag_strategy_dynamic.py
- process_configuration.json
- interested_tickers.xlsx
- strategy.csv
- conda.yaml
- MLmodel
- model.pkl
- 1_ml_log.csv
- 2_ml_log.csv
- processed_2_ml_log.csv
- 10-19-2019-checkpoint.ipynb
- Example-checkpoint.ipynb
- Mlflow Serving Test - Only look at this-checkpoint.ipynb
- PODA PATTI-checkpoint.ipynb
- launch.json
- settings.json
- conda.yaml
- ml_log_processed.csv
- MLproject
- train.py
- Example.ipynb
- 124afc37-5bde-4a12-a5fb-c25c49bc48c5
- 3e137754-12cf-4207-ac2d-e5523bb2e476
- 72632a26-21ef-4487-8f34-8201b729213c
- e4af4537-fc0b-4bb0-8ef0-430f8678aaef
- f618e8d8-213d-4139-a7cf-cff78baec139
- pgadmin4.db
- 01_create_user.sh
- __init__.cpython-37.pyc
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- oandav20broker.cpython-36.pyc
- oandav20broker.cpython-37.pyc
- __init__.py
- oandav20broker.py
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- oandav20feed.cpython-36.pyc
- oandav20feed.cpython-37.pyc
- __init__.py
- oandav20feed.py
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- oandav20sizer.cpython-36.pyc
- oandav20sizer.cpython-37.pyc
- __init__.py
- oandav20sizer.py
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- oandav20store.cpython-36.pyc
- oandav20store.cpython-37.pyc
- __init__.py
- oandav20store.py
- __init__.py
- fx_oanda_daily.cpython-37.pyc
- fx_oanda_minute.cpython-37.pyc
- fx_oanda_daily.py
- fx_oanda_minute.py
- risk_db_schema_builder.py
- secmaster_db_schema_builder.py
- secmaster_db_symbol_loader.py
- ml_preprocessing.cpython-37.pyc
- ml_preprocessing.py
- bt_analyzers.cpython-37.pyc
- bt_logger_analyzer.cpython-37.pyc
- bt_perform_analyzer.cpython-37.pyc
- bt_pos_perform_analyzer.cpython-37.pyc
- bt_strat_perform_analyzer.cpython-37.pyc
- bt_strategy_id_analyzer.cpython-37.pyc
- bt_transaction_analyzer.cpython-37.pyc
- bt_logger_analyzer.py
- bt_pos_perform_analyzer.py
- bt_strat_perform_analyzer.py
- bt_strategy_id_analyzer.py
- bt_transaction_analyzer.py
- db_cred.cpython-37.pyc
- db_risk_cred.cpython-37.pyc
- db_secmaster_cred.cpython-37.pyc
- oanda_cred.cpython-37.pyc
- db_risk_cred.py
- db_secmaster_cred.py
- oanda_cred.py
- bt_datafeed_postgres.cpython-37.pyc
- bt_datafeed_postgres.py
- run_BT.py
- __init__.cpython-37.pyc
- simple_strategy.cpython-37.pyc
- simple_strategy_2.cpython-37.pyc
- __init__.py
- simple_strategy.py
- simple_strategy_2.py
- args_parse_dict.cpython-37.pyc
- args_parse_other.cpython-37.pyc
- write_to_db.cpython-37.pyc
- args_parse_other.py
- write_to_db.py
- __init__.py
- superset.db
- superset_config.py
- .devcontainer.json
- .env
- .gitignore
- docker-compose.yml
- LICENSE
- README.md
- starter_script.bat
// repository documentation
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