peerchemist/finta
Common financial technical indicators implemented in Pandas. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3653
- days_rel: n/a
- days_push: 1501
- n_releases_24m: 0
Adoption not part of the score
2263 stars · 716 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
FinTA is a Python library implementing over 80 common financial technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands, etc.) on top of Pandas DataFrames. It is aimed at algorithmic trading and financial analysis workflows.
Use cases
- calculate RSI and MACD for stock price data in pandas
- compute moving averages for a trading strategy backtest
- add technical indicators like Bollinger Bands to OHLCV data
- build an algorithmic trading bot with indicator signals
- compute VWAP and ATR for crypto price series
- generate trading signals from stochastic oscillator and ADX
When to choose
- you already use pandas and want pure-Python technical indicators
- you need a wide catalog of 80+ indicators with a simple API
- you are prototyping trading strategies in Python
When to avoid
- you need high-performance or GPU-accelerated indicator computation
- you require guaranteed numerical accuracy for production trading
- you need actively maintained software with frequent releases
Facets
library · maturity maintenance
data-science math fintech data-science python technical-analysis trading-indicators pandas algorithmic-trading fintech algorithms
2 sources
- readme: https://github.com/peerchemist/finta · fetched 2026-08-28 · 4e2a2d4bbc97
- registry_pypi: https://pypi.org/pypi/finta/json · fetched 2026-08-29 · d3865eb19419
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| peerchemist/finta | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="peerchemist/finta")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem