# zvtvz/zvt

modular quant framework.

Repository: https://github.com/zvtvz/zvt
Canonical: https://ross.abutalabs.com/products/zvt
Homepage: https://zvt.readthedocs.io/en/latest/
Language: Python
License: MIT
License Family: permissive
Topics: stock, quant, fintech, trading-platform, technical-analysis, cryptocurrency, fundamental-analysis, algorithmic-trading, trading-strategies, backtesting, quantitative-finance, trading-bot, quantitative-trading, stock-market, zvt, python, ml, machine-learning
Last push: 2026-07-01T09:42:05+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 90, release rhythm 54, longevity 100
- inputs: {"age_days": 2708, "days_push": 63, "days_rel": 227, "gap_med": 60.5, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4286, forks 1013 (observed 2026-08-28T04:08:41.301319+00:00)

## What it is
ZVT is a unified, modular quantitative trading framework written in Python for stocks and cryptocurrencies. It provides data ingestion, factor computation, backtesting, and trading strategy tooling with both a Dash/Plotly UI and a REST API with a standalone UI.

## Use cases
- backtest stock trading strategies in python
- build an algorithmic trading bot for crypto
- compute technical and fundamental factors for stocks
- research quantitative trading strategies with machine learning
- visualize factor and trader performance in a dashboard
- fetch and store market data for quant research

## When to choose
- you want a modular python quant framework covering data, factors, and backtesting
- you trade stocks or crypto and want extensible strategy code you run in your own IDE
- you want a visual UI to inspect factors, signals, and trader performance

## When to avoid
- you need guaranteed backward compatibility across upgrades
- you need a production real-time trading system with low-latency execution
- you want a turnkey trading platform with no coding

## Facets
- artifact type: framework
- maturity: active
- function: trading, data-science, machine-learning, data-visualization, etl
- domain: fintech, data-science
- platform: python, cross-platform
- tags: quant, backtesting, trading-strategies, technical-analysis, fundamental-analysis, stock-market, trading-bot, dash-ui, rest-api, quantitative-finance, algorithmic-trading, cryptocurrency, web-server

## Member repositories
- zvtvz/zvt (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:41.301319+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 2026-08-29T18:21:56.838703+00:00, confidence not recorded.
  - readme: https://github.com/zvtvz/zvt (fetched 2026-08-28T04:08:41.301319+00:00, sha 64491718c614)
  - registry_pypi: https://pypi.org/pypi/zvt/json (fetched 2026-08-29T09:11:43.806124+00:00, sha 7455c070c372)
- Data as of 2026-08-30T08:39:29.467469+00:00.