CryptoBot
AI-powered crypto trading with quant strategies & automation
What it does
CryptoBot brings algorithmic trading, AI/ML, real-time market analysis, automated execution, and backtesting into one system. Experiment with quant strategies, technical analysis, scalping, arbitrage, trend following, custom strategies, and risk management across multiple crypto exchanges.
Contribute to pavloaser23/crypto-trading-bot development by creating an account on GitHub.
CryptoBot is an cryptocurrency trading bot for automated and algorithmic trading. It is designed to analyze crypto market data, generate trading signals, execute orders, and manage positions using configurable trading strategies. The project supports technical analysis, automated trading, backtesting, risk management, and custom strategy development. It can be used to experiment with cryptocurrency trading strategies, analyze historical market data, and automate trading workflows. CryptoBot is built around a modular strategy system that allows different approaches to cryptocurrency and algorithmic trading. These indicators can be combined to create rule-based trading strategies and…from github.com
Does the same job
all alternatives →
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com