Analysis, research, and regime intelligence for Bitcoin and crypto traders.
No single Bitcoin indicator wins across all market conditions. Here's why the best approach combines moving averages, RSI, MACD, and on-chain data by regime.
The altcoin season index is widely used but structurally flawed. Here's how it's built, where it lags, and why regime context matters more than any single reading.
The crypto fear and greed index explains market sentiment in a single number — but that compression hides critical failures. Here's what each component measures and where it breaks down.
The bull/bear/chop model collapses Range and Volatility into one bucket — and that costs traders. Here's why five regime states give you meaningfully better decisions.
Spot Bitcoin ETF flows are a leading demand signal — but most traders misread them. Here's how to use a bitcoin etf inflows tracker to confirm or contradict regime state.
Bitcoin doesn't have earnings or a balance sheet. Here's what BTC fundamental analysis actually means — four layers that set the backdrop for every regime call.
A single indicator always fails. A composite BTC risk index — combining valuation, volatility, leverage, sentiment, and macro — gives traders a calibrated read on current market risk.
BTC hit $58,916 — a yearly low. The rainbow chart says \
The BTC 200 week moving average has marked every major Bitcoin cycle floor. Here's what it actually tells you — and where it falls short as a standalone signal.
A $1B liquidation event just swept BTC to $58K. Here's how to read a liquidity map btc traders use to anticipate these cluster-driven moves before they happen.
The MVRV Z-Score measures Bitcoin's market value against aggregate holder cost basis. Here's what extreme readings signal — and why it's a regime input, not a top/bottom oracle.
BTC at $60,212, Fear & Greed at 13, ETH down 5.4%. Where are we in the crypto cycle right now? A data-driven read on regime state, macro risk, and what the structure actually signals.
The Alternative.me Fear & Greed Index is everywhere — but few traders understand its five components or where each one systematically fails during regime transitions.
DVOL is Bitcoin's volatility index — and it often warns before spot prices move. Here's how to read it and why regime-aware traders track it closely.
BTC is at $64,060, down 50% from its 2025 peak. Here's how to read the current long/short ratio without getting caught in the next liquidation flush.
Bitcoin is 49% below its October 2025 peak. Is this accumulation or a falling knife? We assess the evidence across price structure, ETF flows, and derivatives.
The bitcoin futures basis encodes regime information most traders miss. Here's what contango, backwardation, and basis compression signal in the current macro environment.
The bitcoin long short ratio is widely cited but frequently misread. This guide explains accounts vs. notional size, top traders vs. global, and why context determines everything.
Bitcoin recovered from below $60K to $65,800 — is this accumulation or a relief bounce? We break down the 2026 evidence across price structure, derivatives, and macro context.
BTC at $64,585 shows signs of late accumulation — but the Trump $2.3B crypto story adds political overhang. Here's what the evidence actually shows.
A practical framework for adjusting crypto portfolio allocation across accumulation, bull, distribution, and bear regimes — with specific BTC, ETH, stablecoin, and alt weightings.
Bitcoin's correlation with equities, gold, and DXY shifts by regime. Here's how to detect which correlation regime is active — and what it means for your analysis.
The crypto futures basis reveals who is positioned and how aggressively. Learn how CME vs offshore basis divergence flags regime shifts before price confirms them.
Bitcoin's drop to $61,034 and $1.5B in liquidations expose a structural flaw in most automated strategies. Here's why static bots bleed during regime transitions.
On-chain data is powerful but slow. Derivatives markets detect regime shifts hours before blockchain data confirms them — and at a fraction of the cost.
US-China tariff escalation has driven Bitcoin from $90K+ to sub-$73K in 2026. Here's how tariff announcements are triggering regime shifts — and what resolution could mean.
Aggregate backtests hide regime-specific blow-ups. Here's how to build a regime-filtered backtest that reveals where your strategy's edge actually comes from.
SOL has a mature derivatives market — but reading it requires a different framework than BTC. Here's how funding rates and OI reveal the SOL regime.
Stablecoin flows reveal where capital is positioned before price moves. Learn how USDT flows and stablecoin supply regime map to crypto market regime transitions.
A technical guide to building a crypto trading bot architecture that gates strategy execution by regime state. Covers API patterns, webhooks vs polling, and strategy routing.
CryptoHopper's Algorithm Intelligence rotates strategies by regime. But how does it compare to dedicated regime tools? Here's when to use each.
BTC trades at $76,767 amid macro-driven selling and fear sentiment. Here's how the bitcoin regime may 2026 is classified — and what would trigger a shift.
Scale Bitcoin exposure dynamically using a five-regime framework: full size in bull trends, stepping down to zero in bear markets. Concrete formulas included.
ETH doesn't just follow Bitcoin. Learn how ethereum regime analysis differs from BTC, what the ETH/BTC ratio reveals, and which signals matter most for ETH regime detection.
Bitcoin options skew and DVOL are among the most powerful — and most overlooked — regime signals in crypto. Here's how to read them.
AI trading agents now use regime detection as a core decision layer — gating strategies, sizing positions, and managing risk based on market state. Here's how they work in 2026.
GetRegime uses 6 signals and 3 regime states. RegimeRisk uses 200+ ML features and 5 states. Here's what that difference means in practice.
A market regime transition begins in derivatives and correlation data long before price confirms it. Here's how to detect one early using a multi-signal framework.
Bitcoin stalled at $81,200 ahead of a key inflation print. Here's how macro events trigger regime transitions — and why derivatives see them first.
On-chain vs derivatives analysis: two frameworks, two time horizons. Learn which signals move first and how to combine them for sharper Bitcoin trading decisions.
A quant-focused survey of GARCH, HAR-RV, implied vol, and ML approaches to bitcoin volatility forecasting — and how vol forecasts feed regime classification.
When BTC futures trade above spot, the market is in contango. When they trade below, backwardation. Here's what that gap reveals about institutional positioning.
Bitcoin just reclaimed $80K on a $300M short squeeze. But violent squeezes can happen inside distribution ranges. Here's how derivatives data reveals what price hides.
Volatility regimes matter more than price direction. Learn how to identify bitcoin volatility compression and expansion cycles — and what the current $80k reclaim signals.
BTC is down ~40% from its $126k ATH, range-bound at $67k–$76k with 46+ days of negative funding. A regime analysis of what recovery actually looks like.
The Fear and Greed Index is easy to read — but it ignores derivatives, lags regime shifts, and can't tell you what type of market you're in. Here's what to use instead.
Raw price data fails at regime boundaries. A breakdown of the feature categories — derivatives, on-chain, macro, microstructure — that actually drive crypto regime classification.
Spot traders can extract powerful market signals from derivatives data without ever trading futures. Here's what funding rates, open interest, and liquidations actually tell you.
The classic bitcoin four-year cycle is compressing. Institutional capital, macro correlation, and faster information diffusion are reshaping cycle timing in ways that demand a new analytical framework.
A practical guide to aligning your trading strategy with the current market regime — covering position sizing, strategy selection, and when to be aggressive vs. defensive.