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