Arbitrage-gossip
Monitor cryptocurrency exchanges and alert on different platforms whenever a price discrepancy occurs.
Monitored exchanges:
- Binance
- FTX
- ByBit
- Huobi
- KuCoin
Supported platforms for sending notification:
Implemented Example
https://twitter.com/voices89394387
Table of contents
1)What’s that and how does it work? 2)Can i run one myself? 3)Examples 4)Troubleshooting
Explained
Arbitrage-gossip is a bot that asynchronously fetches the prices from 5(for now) centralized cryptocurrency exchanges for a certain pair pair and reports to twitter when big enough price difference Z occurs between the exchanges, given that you have twitter api access, else it only logs the information to the server.
graph LR Arb((Arbitrage-gossip)) -- Async Websocket connection --> Ex1((Binance)) Arb((Arbitrage-gossip)) -- Async Websocket connection --> Ex2((FTX)) Arb((Arbitrage-gossip)) -- Async Websocket connection --> Ex3((Bybit)) Arb((Arbitrage-gossip)) -- Async Websocket connection --> Ex4((Huobi)) Arb((Arbitrage-gossip)) -- Async Websocket connection --> Ex5((KuCoin)) Arb((Arbitrage-gossip)) -- Async Websocket connection --> Ex6((Exchange *N*)) Arb((Arbitrage-gossip)) -- Whenever price difference Z occurs, report it --> F[Twitter]
Run
Sure. Clone the repository
git clone https://github.com/lbkolev/arbitrage-gossip
cd arbitrage-gossip
Setup a virtual environment.
$ python -m venv .venv && . .venv/bin/activate
Install all the necessary packages.
pip install -r requirements.txt
If you intend to report the information to twitter, put your api keys in .env file in the program’s root directory, as shown in .env-sample.
Examples
- Monitor pair BTCUSDT on each exchange that offers it, and report to twitter whenever a price difference of atleast 1% occurs between any of the exchanges. Reports no more often than 180 seconds. The information is logged by default to /var/log/arbitrager/btcusdt.log.
$ python arbitrage-gossip/main.py --base btc --quote usdt --report-to=twitter --cooldown=180 --threshold=1
Troubleshooting
The program supports 4 levels of logging, in ascending order – debug, info, warning and error, as per the python’s logging library.
- Use debug if you want to drown in information.
- Info is the default level, outputs everything necessary(recommended).
- Warning and Error log only warnings and errors respectively :). Generally everything important is logged by default(info level), so that reading the log should give you a good idea of what the issue is.
