Simple High Frequency Trading Bot for crypto currencies
Clone or download
xmatthias Merge pull request #1324 from freqtrade/pyup-scheduled-update-2018-11-12
Scheduled daily dependency update on monday
Latest commit 79b2551 Nov 12, 2018
Permalink
Failed to load latest commit information.
.github update issue template to include ccxt version Jun 12, 2018
bin call set_loggers() and pass sys.argv to main Mar 18, 2018
docs Merge pull request #1269 from freqtrade/feat/force_buy Nov 4, 2018
freqtrade Merge pull request #1306 from xmatthias/feat/functional_tests Nov 6, 2018
scripts Reinstate df - which was removed in #1287 Nov 2, 2018
user_data Allow control from strategy Aug 9, 2018
.coveragerc fix typo in coverage-omit Jun 16, 2018
.dockerignore Add unnecessary files to .dockerignore May 6, 2018
.gitignore Remove hardcoded backtest-result.json in Plot scripts Jun 5, 2018
.pylintrc ignore talib.abstract in pylint Jan 11, 2018
.pyup.yml create pyup.io config file Jun 6, 2018
.travis.yml Add a first async test Aug 1, 2018
CONTRIBUTING.md point out "good first issue" label Nov 9, 2018
Dockerfile Fix trailing whitespace Sep 17, 2018
LICENSE Initial commit May 18, 2017
MANIFEST.in move qtpylib to vendor folder Oct 30, 2017
README.md point out "good first issue" label Nov 9, 2018
config.json.example Update docs for /forcesell Oct 10, 2018
config_full.json.example Update docs for /forcesell Oct 10, 2018
freqtrade.service add service file Dec 16, 2017
install_ta-lib.sh Fix SED command for macos Sep 16, 2018
requirements.txt Update pytest from 3.10.0 to 3.10.1 Nov 12, 2018
setup.cfg mypy - ignore tests folder Jun 8, 2018
setup.py install numpy before ta-lib to fix build errors Jul 29, 2018
setup.sh 1) do not download ta-lib as we have it offline. 2) removing ta-lib Oct 23, 2018
ta-lib-0.4.0-src.tar.gz store ta-lib locally in a zip for Travis Jun 8, 2018

README.md

freqtrade

Build Status Coverage Status Maintainability

Simple High frequency trading bot for crypto currencies designed to support multi exchanges and be controlled via Telegram.

freqtrade

Disclaimer

This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.

Always start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect.

We strongly recommend you to have coding and Python knowledge. Do not hesitate to read the source code and understand the mechanism of this bot.

Exchange marketplaces supported

Features

  • Based on Python 3.6+: For botting on any operating system - Windows, macOS and Linux
  • Persistence: Persistence is achieved through sqlite
  • Dry-run: Run the bot without playing money.
  • Backtesting: Run a simulation of your buy/sell strategy.
  • Strategy Optimization by machine learning: Use machine learning to optimize your buy/sell strategy parameters with real exchange data.
  • Whitelist crypto-currencies: Select which crypto-currency you want to trade.
  • Blacklist crypto-currencies: Select which crypto-currency you want to avoid.
  • Manageable via Telegram: Manage the bot with Telegram
  • Display profit/loss in fiat: Display your profit/loss in 33 fiat.
  • Daily summary of profit/loss: Provide a daily summary of your profit/loss.
  • Performance status report: Provide a performance status of your current trades.

Table of Contents

Quick start

Freqtrade provides a Linux/macOS script to install all dependencies and help you to configure the bot.

git clone git@github.com:freqtrade/freqtrade.git
cd freqtrade
git checkout develop
./setup.sh --install

Windows installation is explained in Installation doc

Documentation

We invite you to read the bot documentation to ensure you understand how the bot is working.

Basic Usage

Bot commands

usage: main.py [-h] [-v] [--version] [-c PATH] [-d PATH] [-s NAME]
               [--strategy-path PATH] [--dynamic-whitelist [INT]]
               [--dry-run-db]
               {backtesting,hyperopt} ...

Simple High Frequency Trading Bot for crypto currencies

positional arguments:
  {backtesting,hyperopt}
    backtesting         backtesting module
    hyperopt            hyperopt module

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose         be verbose
  --version             show program's version number and exit
  -c PATH, --config PATH
                        specify configuration file (default: config.json)
  -d PATH, --datadir PATH
                        path to backtest data (default:
                        freqtrade/tests/testdata
  -s NAME, --strategy NAME
                        specify strategy class name (default: DefaultStrategy)
  --strategy-path PATH  specify additional strategy lookup path
  --dynamic-whitelist [INT]
                        dynamically generate and update whitelist based on 24h
                        BaseVolume (Default 20 currencies)
  --dry-run-db          Force dry run to use a local DB
                        "tradesv3.dry_run.sqlite" instead of memory DB. Work
                        only if dry_run is enabled.

Telegram RPC commands

Telegram is not mandatory. However, this is a great way to control your bot. More details on our documentation

  • /start: Starts the trader
  • /stop: Stops the trader
  • /status [table]: Lists all open trades
  • /count: Displays number of open trades
  • /profit: Lists cumulative profit from all finished trades
  • /forcesell <trade_id>|all: Instantly sells the given trade (Ignoring minimum_roi).
  • /performance: Show performance of each finished trade grouped by pair
  • /balance: Show account balance per currency
  • /daily <n>: Shows profit or loss per day, over the last n days
  • /help: Show help message
  • /version: Show version

Development branches

The project is currently setup in two main branches:

  • develop - This branch has often new features, but might also cause breaking changes.
  • master - This branch contains the latest stable release. The bot 'should' be stable on this branch, and is generally well tested.
  • feat/* - These are feature branches, which are being worked on heavily. Please don't use these unless you want to test a specific feature.

A note on Binance

For Binance, please add "BNB/<STAKE>" to your blacklist to avoid issues. Accounts having BNB accounts use this to pay for fees - if your first trade happens to be on BNB, further trades will consume this position and make the initial BNB order unsellable as the expected amount is not there anymore.

Support

Help / Slack

For any questions not covered by the documentation or for further information about the bot, we encourage you to join our slack channel.

Bugs / Issues

If you discover a bug in the bot, please search our issue tracker first. If it hasn't been reported, please create a new issue and ensure you follow the template guide so that our team can assist you as quickly as possible.

Feature Requests

Have you a great idea to improve the bot you want to share? Please, first search if this feature was not already discussed. If it hasn't been requested, please create a new request and ensure you follow the template guide so that it does not get lost in the bug reports.

Pull Requests

Feel like our bot is missing a feature? We welcome your pull requests!

Please read our Contributing document to understand the requirements before sending your pull-requests.

Coding is not a neccessity to contribute - maybe start with improving our documentation? Issues labeled good first issue can be good first contributions, and will help get you familiar with the codebase.

Note before starting any major new feature work, please open an issue describing what you are planning to do or talk to us on Slack. This will ensure that interested parties can give valuable feedback on the feature, and let others know that you are working on it.

Important: Always create your PR against the develop branch, not master.

Requirements

Uptodate clock

The clock must be accurate, syncronized to a NTP server very frequently to avoid problems with communication to the exchanges.

Min hardware required

To run this bot we recommend you a cloud instance with a minimum of:

  • Minimal (advised) system requirements: 2GB RAM, 1GB disk space, 2vCPU

Software requirements