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README.md

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Auto Trading Bot

Prerequisites

  1. Install Docker
  2. Install Docker-compose
  3. Clone project.
  4. For linux, change project folder permission;
$ sudo chmod -R 777 `<PROJECT_FOLDER>`

Dry-Run or Live-Trading

After all changes in project folder, you should add --build to command

$ docker-compose up -d --build

Data Downloading

Getting data for backtesting and hyperopt

$ docker-compose run --rm freqtrade download-data --erase -t 5m --timerange 20210101-20210515

Backtesting

  • Generic Command
$ docker-compose run --rm freqtrade backtesting --strategy-list BBRSI --timeframe 5m --export trades --export-filename=user_data/backtest_results/BBRSI_result.json

$ docker-compose run --rm freqtrade backtesting --strategy-list ONUR YABAR YABAR2 --timeframe 5m --export trades --export-filename=user_data/backtest_results/YABAR_onur_yabar2_result.json --timerange 20210101-20210515

20210414-20210427

freqtrade backtesting --timerange 20180401-20180410 --timeframe 5m --strategy-list Strategy001 Strategy002 --export trades
  • Command example
$ docker-compose run --rm freqtrade backtesting --strategy-list BBRSI --timeframe 15m --export trades --export-filename=user_data/backtest_results/BBRSI_result.json

Hyperopt

  • Generic Command
$ docker-compose run --rm freqtrade hyperopt --hyperopt `<HYPEROPTNAME>` --hyperopt-loss `<HYPEROPTLOSSNAME>` --strategy `<STRATEGY>` -e `<EVALUATION_COUNT>`
  • Command example
$ docker-compose run --rm freqtrade hyperopt --hyperopt SampleHyperOpt --hyperopt-loss SampleHyperOptLoss --strategy BBRSI -e 10

plotting

dcr freqtrade plot-dataframe --strategy BBRSI -p DOGE/USDT i- 15m

troubleshooting

docker logs -f --tail 100 container-id to see logs

docker container rm -f name to remove container