# fmzquant/strategies

quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)

Repository: https://github.com/fmzquant/strategies
Canonical: https://ross.abutalabs.com/products/strategies
Homepage: https://www.fmz.com
License Family: other
Last push: 2025-04-30T04:08:14+00:00

## Health v2 (maintenance only)
Score: 41/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 19, release rhythm 35, longevity 100
- inputs: {"age_days": 3804, "days_push": 490, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5384, forks 1717 (observed 2026-08-28T04:09:16.287117+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: trading, sdk, developer-tools
- domain: fintech, blockchain, tutorials
- platform: python, cpp, cloud
- tags: quantitative-trading, crypto-trading, trading-strategies, backtesting, algorithmic-trading, fmz-platform, pinescript, strategy-collection, cryptocurrency, nodejs

## Member repositories
- fmzquant/strategies (main) score 41

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:16.287117+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 2026-08-29T17:58:25.943614+00:00, confidence not recorded.
  - readme: https://github.com/fmzquant/strategies (fetched 2026-08-28T04:09:16.287117+00:00, sha 00f308cb86b6)
  - homepage: https://www.fmz.com (fetched 2026-08-29T08:53:05.558204+00:00, sha db33ff2559b8)
  - site_page: https://www.fmz.com/about-us (fetched 2026-08-29T08:53:05.572725+00:00, sha 9f6621ff11b9)
  - site_page: https://www.fmz.com/api (fetched 2026-08-29T08:53:05.568527+00:00, sha d687059d027b)
- Data as of 2026-08-30T08:39:29.467469+00:00.