Ross ROSS = Recommend OSS · open-source software intelligence for agents

asavinov/intelligent-trading-bot

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering observed · 2026-08-28

github.com/asavinov/intelligent-trading-bot · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 97
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1774
  • days_rel: n/a
  • days_push: 22
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1860 stars · 405 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python-based automated cryptocurrency trading bot that generates trade signals using machine learning and feature engineering. It separates offline model training from online prediction, supports backtesting, and can send signals to Telegram, APIs, or databases, or execute real trades.

Use cases

  • generate crypto trading signals with machine learning
  • automatically trade bitcoin on binance
  • backtest an ml-based trading strategy on historical data
  • send trading signals to a telegram channel
  • train models offline and predict online with consistent features
  • compute custom technical indicators as derived features

When to choose

  • you want an open-source ml-driven crypto signal generator or trading bot
  • you need configurable trade frequencies and extensible feature engineering in python
  • you want both signaling and real trade execution with backtesting support

When to avoid

  • you need a high-frequency or low-latency trading system
  • you trade assets or exchanges other than those supported (e.g., binance crypto)
  • you want a guaranteed-profitable turnkey product without understanding ml trading risks

Facets

application · maturity active

machine-learning streaming scheduling webhook data-science fintech machine-learning python self-hosted cloud trading-bot algorithmic-trading crypto-trading feature-engineering binance telegram-signals backtesting cryptocurrency automation docker

2 sources

Member repositories

RepositoryRoleHealth v2
asavinov/intelligent-trading-botmain76

For agents

markdown · JSON · MCP: product_card(name="asavinov/intelligent-trading-bot")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem