Ross ROSS = Recommend OSS · open-source software intelligence for agents

fmzquant/strategies resource

quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言) observed · 2026-08-28

github.com/fmzquant/strategies · homepage observed · 2026-08-28

Health v2 · maintenance only

41/100

  • Activity 19
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3804
  • days_rel: n/a
  • days_push: 490
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

5384 stars · 1717 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A large collection of quantitative trading strategy examples and templates for the FMZ Quant platform, written in JavaScript, Python, C++, PineScript, Blockly, and MyLanguage. It serves as a learning resource and reference library covering crypto trading strategies like grid trading, arbitrage, martingale, moving-average systems, and exchange API integrations.

Use cases

  • learn algorithmic crypto trading strategies
  • find example grid trading bot code
  • implement arbitrage strategies between exchanges
  • backtest moving average crossover strategies
  • execute TradingView signals via webhook
  • monitor funding rates across exchanges
  • build a crypto trading bot in Python or JavaScript

When to choose

  • you use the FMZ Quant platform and want ready-made strategy examples
  • you are learning quantitative trading for crypto markets
  • you need reference implementations for exchange APIs, arbitrage, or grid trading

When to avoid

  • you need a standalone backtesting framework independent of FMZ's cloud platform
  • you trade traditional equities rather than crypto and futures
  • you expect production-grade, audited trading software - these are mostly educational examples

Facets

learning-resource · maturity active

trading sdk developer-tools fintech blockchain tutorials python cpp cloud quantitative-trading crypto-trading trading-strategies backtesting algorithmic-trading fmz-platform pinescript strategy-collection cryptocurrency nodejs

4 sources

Member repositories

RepositoryRoleHealth v2
fmzquant/strategiesmain41

For agents

markdown · JSON · MCP: product_card(name="fmzquant/strategies")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem