Run Freqtrade on Docker

Easier way to run freqtrade on Docker without having to download all the code base.

Example of use would be to clone this repo in a VM running Ubuntu and run the docker command.

Pre-requisites: docker and make installed

1) Clone project and generate config files

# Clone repo
git clone github.com/evzpav/run-freqtrade-docker

# Enter project folder
cd run-freqtrade-docker

# This script will create the ~./freqtrade folder with config files there
make init

2.0) Adjust and add Telegram and Exchange API keys to ~/.freqtrade/config_dry.json and ~/.freqtrade/config_prod.json newly created

2.1) Add your strategy file inside the folder ./user_data/strategies

3) Download exchange data

make download-data 
    TIMEFRAME=4h \
    STRATEGY=bbrsi #for production only

4.0) Run backtest

make backtest \
    STRATEGY=bbrsi \
    FEE=0.001 \ # 0.1% x 2 (entry and exit)
    TIMERANGE=20180101-20191008 \
    TIMEFRAME=4h \
    CONFIG_FILE=config_dry.json \
    DB_FILE=tradesv3.dryrun.sqlite

4.1) Plot dataframe chart after backtest

make plot \
    STRATEGY=bbrsi \
    CONFIG_FILE=config_dry.json \
    DB_FILE=tradesv3.dryrun.sqlite \
    PAIRS='ETH/BTC LTC/BTC' \ #with spaces between pairs
    IND1='bb_lowerband bb_middleband' \ #with spaces between indicators
    IND2=rsi

4.2) Plot profit charts

make plot-profit \
    DB_FILE=tradesv3.dryrun.sqlite \
    PAIRS='ETH/BTC LTC/BTC' #with spaces between pairs

4.3) Add your strategy optmization to ./user_data/hyperopts and run optimization:

make hyperopt \
    HYPEROPT=bbrsi \
    TIMERANGE=20180101-20191008 \
    ITERATIONS=100 \
    OPT_TARGET=all \
    FEE=0.001

5) Run bot locally in dry run mode

make run \
    STRATEGY=bbrsi \
    CONFIG_FILE=config_dry.json  \
    DB_FILE=tradesv3.dryrun.sqlite

6.0) Run in production mode

This will run the freqtrade bot on docker in the background

# Create config folder and config file to be copied for production
make init-prod STRATEGY=bbrsi \
    CONFIG_PATH=./config_example.json \
    EXCHANGE_KEY=your_exchange_key \
    EXCHANGE_SECRET=your_exchange_secret \
    TELEGRAM_TOKEN=your_telegram_token \
    TELEGRAM_CHAT_ID=your_telegram_chat_id 

# Edit ~/.freqtrade_$STRATEGY/config_dry_$STRATEGY.json and ~/.freqtrade_$STRATEGY/config_prod_$STRATEGY.json files accordingly

# Run in production
make run-prod STRATEGY=bbrsi DRYRUN=false

6.1) Stop the docker of freqtrade in production

make stop-prod STRATEGY=bbrsi

Other commands

# List timeframes
make timeframes EXCHANGE=bittrex

# List exchanges
make exchanges

evzpav / run-freqtrade-docker Goto Github PK

run-freqtrade-docker's Introduction

Run Freqtrade on Docker

Pre-requisites: docker and make installed

1) Clone project and generate config files

2.0) Adjust and add Telegram and Exchange API keys to ~/.freqtrade/config_dry.json and ~/.freqtrade/config_prod.json newly created

2.1) Add your strategy file inside the folder ./user_data/strategies

3) Download exchange data

4.0) Run backtest

4.1) Plot dataframe chart after backtest

4.2) Plot profit charts

4.3) Add your strategy optmization to ./user_data/hyperopts and run optimization:

5) Run bot locally in dry run mode

6.0) Run in production mode

This will run the freqtrade bot on docker in the background

6.1) Stop the docker of freqtrade in production

Other commands

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