A few days ago, I shared a crypto trading algorithm that can detect new coin listings on Binance as soon as they are listed and place orders on them automatically.
When I wrote the code initially, the tool would take around 20 seconds to detect a new listing and to place an order. After some analysis it turned out that those massive initial listing pumps usually last less than 20 seconds, which would cause this tool to not buy at the most optimum time.
After I have made some changes to the way it works, stabilised and optimised the code, the tool is now able to detect new listings in the innovation zone on Binance and place trades within 5 seconds of the listings.
It became apparent that speed is of utmost importance here, as the tool needs to buy as quickly as it can, and just as quickly sell at the optimum time. In order to optimise the sell strategy, I have modified the parameters that dictate how the trailing stop loss and take profit should trigger.
This greatly boosts the performance and looking forward to some interesting results. The tool has a test mode that simulates live trading so you can run it test free.
Some of you may have seen my previous post just now, so I wanted to make it clear that this is an update to the existing tool. I’m hoping that some of you will find it useful.
If you’re interested in the project and are good with Python, please feel free to contribute to the GitHub repo if you have any ideas on how to improve the performance of the tool.
[https://github.com/CyberPunkMetalHead/binance-trading-bot-new-coins](https://github.com/CyberPunkMetalHead/binance-trading-bot-new-coins)
If you want a guide on how to run this yourself please see my article here:
[https://www.cryptomaton.org/2021/08/15/coding-a-binance-trading-bot-that-detects-new-coins-the-moment-they-are-listed/](https://www.cryptomaton.org/2021/08/15/coding-a-binance-trading-bot-that-detects-new-coins-the-moment-they-are-listed/)
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