# asavinov/intelligent-trading-bot

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Repository: https://github.com/asavinov/intelligent-trading-bot
Canonical: https://ross.abutalabs.com/products/intelligent-trading-bot
Homepage: https://t.me/intelligent_trading_signals
Language: Python
License: MIT
License Family: permissive
Topics: bitcoin, machine-learning, artificial-intelligence, feature-engineering, crypto, trading, algorithmic-trading, crypto-trading, trading-bots, cryptocurrency
Last push: 2026-08-11T10:14:30+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 1774, "days_push": 22, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1860, forks 405 (observed 2026-08-28T04:05:45.136571+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: machine-learning, streaming, scheduling, webhook, data-science
- domain: fintech, machine-learning
- platform: python, self-hosted, cloud
- tags: trading-bot, algorithmic-trading, crypto-trading, feature-engineering, binance, telegram-signals, backtesting, cryptocurrency, automation, docker

## Member repositories
- asavinov/intelligent-trading-bot (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:45.136571+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:15:52.762849+00:00, confidence not recorded.
  - readme: https://github.com/asavinov/intelligent-trading-bot (fetched 2026-08-28T04:05:45.136571+00:00, sha 17d94edef732)
  - homepage: https://t.me/intelligent_trading_signals (fetched 2026-08-29T10:54:58.319535+00:00, sha 9e98a661aa5f)
- Data as of 2026-08-30T08:39:29.467469+00:00.