Thriving Thriving Python PY
43
quant-trading Krexibd/quant-trading

Quant-Trading: Advanced Quantitative-Finance strategies featuring VIX Calculator, Monte Carlo simulations, Pair Trading, and Pattern Recognition.

HEALTH 80 / Healthy
// solo builder// hidden gem algorithmic-tradingquant-tradingquant-trading-frameworkquant-trading-routerquantitative-financetrading-strategiesautomated-quant-tradecrypto-quant-tradinghigh-frequency-quantlive-trading-quant

// readme

Quant-trading

 

Topics: quant-trading, algorithmic-trading, trading-strategies, quantitative-finance, quant-trading-bot, quant-trading-api, quant-trading-system, automated-quant-trade, quant-strategy-backtest, crypto-quant-trading, quant-trading-framework, high-frequency-quant, quant-trading-router, live-trading-quant, quant-alpha-signals, quant-trading-source

Intro

 

We’re right 50.75 percent of the time… but we’re 100 percent right 50.75 percent of the time, you can make billions that way.

--- Robert Mercer, co-CEO of Renaissance Technologies

If you trade a lot, you only need to be right 51 percent of the time, we need a smaller edge on each trade.

--- Elwyn Berlekamp, co-Founder of Combinatorial Game Theory

The quotes above come from a book by Gregory Zuckerman, a book every quant must read, THE MAN WHO SOLVED THE MARKET.

 

Most scripts inside this repository are technical indicator automated trading. These scripts include various types of momentum trading, opening range breakout, reversal of support & resistance and statistical arbitrage strategies. Yet, quantitative trading is not only about technical analysis.…

The Undervalued Score +

How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.

score  = signal / reach

signal = 0.25·commit_velocity   // commits in last 90 days (cap 30)
       + 0.20·contributor_work  // unique authors × velocity (cap 100)
       + 0.20·issue_resolution  // closed ÷ total issues
       + 0.20·fork_ratio        // forks ÷ stars (proxy for real usage)
       + 0.10·release_cadence   // releases in 90 days (cap 3)
       + age_bonus              // +0 to +0.30 after 6 months
       + homepage_bonus         // +0.05 if homepage is set

reach  = log₁₀(stars + watchers + 10)
The Health Score +

Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.

health = 0.35·recency       // days since last commit (90d decay)
       + 0.25·cadence       // commit rhythm consistency
       + 0.20·issue_health  // closed ÷ total issues
       + 0.20·pr_health     // merged ÷ total PRs
Health bands +

The colour and label on every card come straight from the health score.

Healthy   80 – 100   active, responsive, regular releases
Stable    60 – 79    maintained, steady, no alarms
Quiet     40 – 59    slowing down — watch this one
At Risk    0 – 39    going dark · candidate for rescue
// Tags — what each label means +

Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.

solo_builder      one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem        < 100 stars · active in last 3 months · documented
legacy_hero       repo > 5 years old · committed this year
fork_magnet       forks/stars > 0.5 · used as template or dependency
release_machine   5+ releases in the last 90 days
under_pressure    > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch   watchers > stars · devs tracking before the public
community_hub     GitHub Discussions enabled · > 20 discussions
funded            maintainer has active funding channel
Why rank against stars at all? +

Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.

// stars   = lagging indicator
// commits = leading indicator
// we rank by the leading one