Code Monkey home page Code Monkey logo

trading-bot's Introduction

LN Markets Technical Analysis Bot

A simple bot for algorithmic trading with Trading View Technical Analysis signals on LN Markets.

⚠️ CAUTION: Use at your own risk. This repo is meant to be a reference and has been created for educational purposes only.

Please use carefully, preferably on Testnet or with small amounts.

Install

Download this Github repopsitory and install dependencies.

pip install -r requirements.txt

Authentication

For authentication, you need your LN Markets API Key, Secret, and Passphrase.

Without them, you will not be able to authenticate.

⚠️ Never share your API Key, Secret or Passphrase

Open the 'configuration.yml' file and complete with your LN Markets API credentials. You can also add the paramter network with 'testnet' for LN Markets Testnet and 'mainnet' for LN Markets mainnet.

Strategies

Current available strategies are:

  • ta_summary: use the Trading View Technical Analysis summary indicator based on 27 signals (oscillators and moving averages) to open a long or short future position.
  • More to come

More details below.

Open the 'configuration.yml' file. Then choose the strategy you want for your trading bot affecting True to the corresponding variable (and False to others).

# Example
Strategies: 
  ta_summary: True

Parameters

In 'configuration.yml', you can define some parameters to customize your strategy.

# Example
ta_summary:
  quantity: 10 #type=int, min=1, quantity of each open position
  leverage: 10 #type=int, min=1, max=100
  interval: '5m' #type=string, available interval between 2 TA summary signals: "1m", "5m", "15m", "30m", "1h", "2h", "4h", "1d", "1W", "1M"
  timeout: 60 #type=int, min=1, number of minutes the trading strat will be running  

Run program

Open 'main.py' file and simply run it. If there is no error, you should see this message in the terminal:

Connection to LN Markets ok!

If not, double check the API Key, Secret, and Passphrase you entered.

LN Markets API has requests limits (30 requests per minute).

ta_summary

How does it work?

Once the bot is launched, it follows Trading View Technical Analysis summary indicator based on 27 signals (oscillators and moving averages) to run a directional strategy. The bot opens and keeps running a long Future position while the signal is "STRONG_BUY" and remains at least "BUY", and a short Future position while the signal is "STRONG_SELL" and remains at least "SELL", and close the position otherwise.. While the bot is running, you can have either 0 or 1 position running maximum.

Parameters to customize the bot

  • quantity: the quantity (in USD) for the position running
  • leverage: the leverage for the position running
  • take profit: the coefficient to apply to the entry price to compute the take profit level
  • stop loss: the coefficient to apply to the entry price to compute the stop loss level
  • interval: interval between 2 TA summary signals: "1m" for 1 minute, "5m" for 5 minutes, "15m" for 15 minutes, "30m" for 30 minutes, "1h" for 1 hour, "2h" for 2 hours, "4h" for 4 hours, "1d" for 1 day, "1W" for 1 week, "1M" for 1 month
  • interval: number of minutes the trading strat will be running
# Example
ta_summary:
  quantity: 10 #type=int, min=1, quantity of each open position
  leverage: 10 #type=int, min=1, max=100
  takeprofit: 0.02 #type=float, price to reach above (for long) or below (for short) entry price to take profit, 0.2 means take profit 20% above or below entry price 
  stoploss: 0.02 #type=float, price to reach below (for long) or above (for short) entry price to stop loss, 0.1 means stop loss 10% below or above entry price
  interval: '5m' #type=string, available interval between 2 TA summary signals: "1m", "5m", "15m", "30m", "1h", "2h", "4h", "1d", "1W", "1M"
  timeout: 60 #type=int, min=1, number of minutes the trading strat will be running

History of trades

After timeout, you will find all the bot's trades during its execution in the CSV 'df_closed_pos.csv' in the folder Strategies.

To go further

Feel free to customize the bot and add your own strategies.

If you want to use more features from LN Markets API, checkk out the full documentation.

trading-bot's People

Contributors

romainrouphael avatar amosgroth avatar vafanassieff avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.