npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

euphoria-strategy

v0.1.0

Published

Deterministic, backtestable market-psychology trading strategy for BNB Chain — the Strategy Skill powering Euphoria (BNB Hack: AI Trading Agent Edition, Track 2).

Readme

euphoria-strategy

The deterministic, backtestable Strategy Skill that powers Euphoria — built for BNB Hack: AI Trading Agent Edition (Track 2 — Strategy Skills).

Euphoria's thesis is simple: the crowd buys euphoria and sells fear. This package turns that thesis into a pure, reproducible trading strategy over OHLCV data — no LLM, no randomness — so it can be backtested and unit-tested. It is the distilled, shippable core of Euphoria's multi-agent system (Scout → momentum, Crowd → FOMO, Reverse → bubble risk).

  • 🧮 Deterministic — same candles in, same signals out. Reproducible by design.
  • 📊 Backtestable — ships a backtest engine with returns, drawdown, win-rate, and Sharpe vs buy & hold.
  • 🪶 Zero dependencies — pure TypeScript, works with any OHLCV source (Binance, CoinMarketCap, etc.).

Install

npm install euphoria-strategy

Usage

import { runBacktest, signalFor, computeFeatures, WARMUP, type Candle } from "euphoria-strategy";

// Bring your own daily OHLCV candles (oldest → newest).
const candles: Candle[] = await loadCandles("BTCUSDT"); // from Binance, CMC, etc.

// Backtest the strategy vs buy & hold.
const result = runBacktest("BTC", candles);
console.log(result.totalReturnPct, result.buyHoldReturnPct, result.maxDrawdownPct);

// Or get a live signal for the latest window:
const features = computeFeatures(candles.slice(-(WARMUP + 1)));
const signal = signalFor(features); // "BUY" | "SELL" | "WATCH"

The strategy spec

Three psychology proxies are derived deterministically from each candle window:

| Feature | Meaning | Derived from | |---|---|---| | momentum | trend strength | 7-day run-up + taker buy dominance | | fomo | crowd excitement | run-up + volume spike + buy dominance | | bubble | over-extension / reversal risk | deviation above MA + fomo |

Signal rules (long-only, with hysteresis to avoid whipsaw):

  • BUYmomentum ≥ 55 and bubble ≤ 60 and fomo ≥ 30 (healthy trend, not over-extended)
  • SELL (risk-off) — momentum ≤ 42 (broken trend / crowd fear) or fomo ≥ 75 && bubble ≥ 70 (euphoric blow-off). Move to cash.
  • WATCH — the 42–55 dead band: hold the current position.

API

  • runBacktest(symbol, candles): BacktestResult
  • computeFeatures(window): StrategyFeatures
  • signalFor(features): "BUY" | "SELL" | "WATCH"
  • clamp(n, min?, max?), WARMUP
  • Types: Candle, StrategyFeatures, BacktestSignal, BacktestTrade, BacktestPoint, BacktestResult

Disclaimer

Research/educational signals only — not financial advice. Past performance does not predict future results.

License

MIT