# Emsu/prophet

Financial markets analysis framework for programmers

Repository: https://github.com/Emsu/prophet
Canonical: https://ross.abutalabs.com/products/emsu-prophet
Homepage: http://prophet.michaelsu.io
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2026-04-13T16:44:13+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 77, release rhythm 8, longevity 100
- inputs: {"age_days": 4311, "days_push": 142, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1093, forks 122 (observed 2026-08-28T04:03:33.775194+00:00)

## What it is
Prophet is a Python microframework for financial markets analysis that lets programmers model trading strategies, manage portfolios, and run backtests with a small API. It provides data generators (e.g. Yahoo close prices), order generation, and portfolio analyzers like Sharpe ratio and cumulative return.

## Use cases
- backtest a trading strategy in python
- generate stock orders for today
- compute sharpe ratio and returns for a strategy
- build a quantitative trading framework on pandas
- analyze portfolio performance over historical data
- pull historical close prices from yahoo finance

## When to choose
- you want a minimal, programmer-friendly python framework for strategy backtesting
- you need quick portfolio analytics like sharpe ratio and volatility
- you prefer a small API over heavyweight quant platforms

## When to avoid
- you need live trading or broker integration
- you need high-frequency or tick-level data support
- you need a actively maintained ecosystem with python 3-only modern tooling

## Facets
- artifact type: framework
- maturity: active
- function: trading, data-science, benchmarking
- domain: fintech, data-science, machine-learning
- platform: python, cross-platform
- tags: backtesting, quantitative-finance, portfolio-management, microframework, order-generation

## Member repositories
- Emsu/prophet (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.775194+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 2026-08-30T06:47:39.069911+00:00, confidence not recorded.
  - readme: https://github.com/Emsu/prophet (fetched 2026-08-28T04:03:33.775194+00:00, sha 20205c176184)
- Data as of 2026-08-30T08:39:29.467469+00:00.