Research and guides on crypto market intelligence, regime detection, and quantitative trading.
The #1 reason crypto bots fail isn't bad strategy — it's trading against the market regime. Here's the data and the fix.
Read article →Learn how crypto market regime detection classifies markets as bull, bear, or chop — and why it's the single most important input for trading bots, position sizing, and portfolio management.
Read article →Weekly crypto regime analysis: BULL at 83% confidence. BTC $79,139, Fear & Greed 69. What the data says and what traders should do.
Read article →Weekly crypto regime analysis: CHOP, signals balanced. BTC $79,791, Fear & Greed 73. What the data says and what traders should do.
Read article →Weekly crypto regime analysis: CHOP, signals balanced. BTC $74,852, Fear & Greed 72. What the data says and what traders should do.
Read article →Weekly crypto regime analysis: BEAR capitulation subtype at 74% confidence. Fear & Greed at 8 (Extreme Fear). BTC $68,124. What the signals show and what to do.
Read article →Weekly crypto regime analysis: BEAR at 93% confidence. BTC $66,626, Fear & Greed 11. What the data says and what traders should do.
Read article →Weekly crypto regime analysis: BEAR at 71% confidence. BTC $69,404, Fear & Greed 10. What the data says and what traders should do.
Read article →Data from 302,000+ candles proves that fixed stop losses destroy leveraged crypto trend-following returns. Learn why regime-based exits outperform and what to use instead.
Read article →Regime API now classifies bear markets as deleveraging, grinding, or capitulation. Plus query any historical timestamp for regime state.
Read article →You could build a crypto regime detector from scratch. Here's what it actually costs in data feeds, engineering time, and maintenance — vs using a $49/mo API.
Read article →Step-by-step tutorial: integrate real-time market regime detection into your Freqtrade bot using the Regime API. Code examples, configuration, and live results.
Read article →Get instant notifications when the crypto market regime changes. Set up webhooks to Slack, Discord, or your trading bot with the Regime API.
Read article →Get actionable trading signals from 6 candle analysis lanes, 10 regime indicators, and crowd positioning data — all from one API. Built for algo traders and bot developers.
Read article →How a regime classifier printed BEAR through a +27% BTC rally, why the bug was structural not statistical, and what we changed so it can't happen silently again.
Read article →Stop stitching together Binance, CoinGecko, CoinGlass, and 6 other APIs. Regime aggregates 9 data sources into a single intelligence endpoint with regime classification, signals, and macro data.
Read article →Technical indicators fail when market conditions change. Market regime detection tells you WHICH indicators to trust. Here's the data from 9,000+ real snapshots.
Read article →We just watched a live regime transition unfold — bear to chop compression back to bear capitulation in under 2 hours. Here's what the signals showed.
Read article →Live regime classification shows Bitcoin in a bear market at 71% confidence. Here's what the 10 signals are showing and what it means for traders.
Read article →Step-by-step guide to building a profitable crypto trading bot in 2026. Covers exchange APIs, strategy design, backtesting, regime detection, and going live with Python and TypeScript examples.
Read article →Most crypto strategies lose money in bear markets because they don't adapt. Learn how regime detection, position sizing, and cash allocation protect your portfolio when the market turns against you.
Read article →Crypto market regime detection classifies markets as bull, bear, or chop using multiple signals. Learn how it works, common approaches, and how to integrate it into your trading strategy with real API examples.
Read article →How we built an HMM-based regime detector using Baum-Welch training on 6 market observations. Architecture, training, and real-world results.
Read article →Add real-time crypto regime detection to your Node.js/TypeScript app with the getregime npm package. Install, configure, and query in under 2 minutes.
Read article →Step-by-step guide to integrating Regime's market condition API into Freqtrade. Filter entries by bull, bear, or chop regime with Python code examples. Free strategy file.
Read article →Integrate real-time crypto regime detection into Freqtrade. Filter entries by bull/bear/chop market conditions with one API call.
Read article →The Crypto Fear & Greed Index is the most watched sentiment gauge in crypto. But trading on it alone is a losing strategy. Here's why, and what works instead.
Read article →Analysis of how DeFi Total Value Locked correlates with crypto market regimes. Data from 6,730+ snapshots shows TVL leads regime transitions by 12-24 hours.
Read article →Get instant notifications when crypto markets shift between bull, bear, and chop regimes. Complete setup guide for Slack, Discord, Telegram, and custom endpoints.
Read article →A practical guide to regime-based position sizing for crypto trading bots. Learn how to dynamically adjust position sizes using market regime detection, Kelly criterion, and volatility scaling.
Read article →Connect to crypto market data in Python using free APIs. Get prices, regime detection, fear & greed, and more in under 5 minutes.
Read article →Learn how to detect crypto market regimes (bull/bear/chop) in Python using the Regime API. Full code examples with position sizing, alerts, and backtesting.
Read article →How crypto regime detection works, why it outperforms single indicators, and how Regime's 10-signal approach classifies markets as bull, bear, or chop in real time.
Read article →Cost analysis of building your own crypto regime detection system vs using the Regime API. Spoiler: building costs $3K+ and 200+ hours.
Read article →A practical guide to overlaying regime detection on your existing crypto portfolio. Works with any strategy, any exchange, any language.
Read article →Analysis of 6,730+ market snapshots revealing crypto regime patterns, transition frequencies, and what Fear & Greed extremes actually predict.
Read article →A data-driven comparison of market regime detection and trend following for crypto trading. Learn when each approach works, when it fails, and how combining them produced +166% returns on ETH.
Read article →A deep dive into the 10 signals that power crypto regime detection: SMA crossovers, funding rates, fear/greed, volatility, and more. Real data from 6,730+ snapshots.
Read article →What market regime detection is, how bull/bear/chop classification works, and how to put a regime signal into a trading bot or dashboard. With an API approach.
Read article →How to handle rate limits when building crypto trading bots. Caching strategies, backoff algorithms, and multi-source failover patterns.
Read article →Side-by-side comparison of the top crypto data APIs in 2026. Pricing, features, use cases, and code examples for each.
Read article →Everything we shipped in March 2026: regime detection API, intelligence endpoints, Freqtrade integration, TradingView indicator, SDK, and more.
Read article →How I built a real-time crypto regime detection API with 10 data sources for $35/month. Architecture decisions, data pipeline, and lessons learned.
Read article →Backtested Bitcoin SMA 50/200 crossover on 302K candles. Results: +41% unfiltered, +166% on ETH with regime filter. Full data and code.
Read article →How to confirm whether Bitcoin is in a bear market using 7 quantitative signals. Real data from the Regime API's 10-signal classifier.
Read article →Compare the best crypto trading bot APIs in 2026. See how Binance, CoinGecko, CoinGlass, and Regime stack up on pricing, data coverage, and intelligence features — with curl examples for each.
Read article →Comparing the best crypto APIs in 2026 — CoinGecko, CoinMarketCap, Glassnode, Nansen, and Regime. Pricing, features, and why intelligence APIs are replacing raw data feeds.
Read article →An honest comparison of the best crypto APIs for trading bots in 2026. Covers Regime, Binance, CoinGecko, CryptoCompare, Messari, and Glassnode — with pricing, features, and code examples.
Read article →Most backtests average across bull, bear, and chop — hiding where your strategy actually works. Here's how to split performance by regime and build a more robust system.
Read article →Most trading strategies work in trends but bleed in chop. Learn how to add regime filtering using a single API call — works with any bot framework, language, or strategy.
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