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https://github.com/ln-markets/trading-bot
Algorithmic trading bot for LN Markets (https://lnmarkets.com/)
https://github.com/ln-markets/trading-bot
bitcoin lightning-network trading trading-bot trading-strategies
Last synced: about 1 month ago
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Algorithmic trading bot for LN Markets (https://lnmarkets.com/)
- Host: GitHub
- URL: https://github.com/ln-markets/trading-bot
- Owner: ln-markets
- License: mit
- Created: 2022-02-04T16:00:04.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2024-04-18T17:30:21.000Z (9 months ago)
- Last Synced: 2024-04-18T19:00:20.486Z (9 months ago)
- Topics: bitcoin, lightning-network, trading, trading-bot, trading-strategies
- Language: Python
- Homepage:
- Size: 70.3 KB
- Stars: 25
- Watchers: 7
- Forks: 13
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LN Markets Technical Analysis Bot
A simple bot for algorithmic trading with [Trading View Technical Analysis](https://www.tradingview.com/symbols/XBTUSD/technicals/) signals on [LN Markets](https://lnmarkets.com/).
> :warning: 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 repository and install dependencies.
```
pip install -r requirements.txt
```
This code works with LN Markets Python module >= 2.0.1, released for with LN Markets API V2.
You can upgrade your local version running pip install ln-markets==2.0.1.
## Authentication
> For authentication, you need your [LN Markets API](https://docs.lnmarkets.com/api/v1/) **Key**, **Secret**, and **Passphrase**.
Without them, you will not be able to authenticate.
> :warning: **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 parameter network with 'testnet' for [LN Markets Testnet](https://testnet.lnmarkets.com/) and 'mainnet' for [LN Markets mainnet](https://lnmarkets.com/).
## Strategies
Current available strategies are:
- ta_summary: use the [Trading View Technical Analysis](https://www.tradingview.com/symbols/XBTUSD/technicals/) 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 setting 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](https://docs.lnmarkets.com/api/v1/) has requests limits (30 requests per minute).
## ta_summary
How does it work?
Once the bot is launched, it follows [Trading View Technical Analysis](https://www.tradingview.com/symbols/XBTUSD/technicals/) 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](https://docs.lnmarkets.com/api/v1/), check out the full documentation.