Andrei is a founder and backend engineer with five years of hands-on experience building and hardening automated crypto trading systems. He co-founded AESIR and has focused on developing bots that detect newly listed coins, measure volatility, and incorporate news sentiment into trading decisions, often improving stability, order logic, and error handling. His open-source work demonstrates strong pragmatic problem-solving—fixing buy/sell calculations, trailing-stop math, scraper reliability, and async data flows across multiple Binance- and Gateio-integrations. Comfortable with APIs, logging and resilient production behaviors, he blends rapid iteration with careful edge-case fixes that reduce trading risk. Less obvious: he pairs quantitative trading logic with practical engineering habits (pause mechanisms, improved lot sizing, and robust notification pipelines) that make experimental strategies usable in the real world.
This is a fully functioning Binance trading bot that takes into account the news sentiment for the top 100 crypto feeds. If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
Role in this project:
Back-end Developer
Contributions:8 reviews, 12 commits, 14 PRs in 22 days
Contributions summary:Andrei primarily contributed to the development of a Binance trading bot, as indicated by the code changes. Their work involved implementing news sentiment analysis using the NLTK library to inform trading decisions. The user refactored existing code and added new functionality, including buy and sell features, and optimized the lot size logic. The project utilizes the Binance API for trading and leverages asynchronous operations for fetching data.
This is a crypto trading bot that scans the Binance Annoucements page for new coins, and places trades on Gateio
Role in this project:
Back-end Developer
Contributions:9 reviews, 69 commits, 30 PRs in 3 months
Contributions summary:Andrei primarily contributed to bug fixes and improvements within the crypto trading bot. They addressed issues related to order placement, including fixing buy amount calculations and resolving trailing stop and profit equation errors. The user also worked on improving the stability and functionality of the scraper, adding error handling and addressing bugs to ensure reliable retrieval of new coin listings from Binance and Kucoin. Several bug fixes were also introduced to the core trading logic to improve overall stability.
binancecryptotrading-bot
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