About BTCMonitors

A free, real-time tool for detecting cryptocurrency market regimes using quantitative statistical models — built for traders, researchers, and anyone who wants to go beyond candlestick charts.

What Is BTCMonitors?

BTCMonitors.com applies Hidden Markov Models (HMM) — a class of probabilistic state-space models widely used in quantitative finance — to live cryptocurrency price data. The result is a real-time classification of the current market into one of four distinct regimes, updated every 30 seconds.

Unlike simple moving-average crossovers or RSI signals, an HMM captures the underlying statistical structure of market behavior: the tendency for markets to persist in a regime, the probability of transitioning between regimes, and the distribution of returns and volatility within each regime.

The site covers Bitcoin and the top 30 cryptocurrencies by market cap, each modeled with parameters calibrated to that asset's historical volatility profile.

The Four Market Regimes

Low Vol Bull
Trending up, low volatility. Historically the strongest risk/reward regime.
Low Vol Bear
Slow decline or consolidation with low volatility. Defensive positioning.
High Vol Bear
Capitulation / crash regime. Elevated volatility and negative returns.
Transition
Regime uncertainty. Model assigns mixed probabilities; caution warranted.

The model uses Baum-Welch (EM) algorithm to estimate parameters from historical price data, and the Viterbi algorithm to decode the most probable current regime from recent returns. The Forward algorithm computes real-time regime probabilities. Learn more on the Learn page.

How We Use Features

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Price Charts with Regime Coloring

7-day hourly price history with each candle colored by the regime active at that timestamp — making regime transitions immediately visible.

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Volatility Profile

Rolling return standard deviation chart showing how volatility evolves relative to the HMM's regime boundaries.

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Return Distribution

Histogram of recent hourly returns plotted against the Gaussian emission distributions for each regime state.

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Forward Probabilities

Time-series of the HMM Forward algorithm output — the probability of being in each regime at each point in time.

Data Sources

CoinGecko API
Live prices, 24h change, 7-day hourly OHLCV history — free public API, no key required
In-browser HMM Engine
All HMM computation runs client-side in JavaScript — no server, no latency, fully transparent
Chart.js + Luxon
Open-source charting library for all regime visualizations
Cloudflare Pages
Static hosting with global CDN — fast load times worldwide, no backend required

All price data is sourced from CoinGecko's public API and is subject to their terms. Data is for informational purposes only.

Disclaimer

The information on BTCMonitors.com is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other type of professional advice. Cryptocurrency markets are highly volatile and speculative. Past regime patterns do not guarantee future results.

Always conduct your own research and consult a qualified financial advisor before making investment decisions. BTCMonitors.com is not responsible for any financial losses incurred from using this site.

Get in Touch

Have a question, found a bug, or want to suggest a feature? We'd love to hear from you. Visit our Contact page.