Seven behavioural indicators that power the Bitcoin OS meta-signal.
Each PIP is a self-contained indicator with a defined intent, a defined input set, and a defined output surface. Together they form the signal engine underneath the Bitcoin Behavioural OS.
| Facet | Detail |
|---|---|
| Inputs | Funding rate, open interest, volatility (realized/ATR), aggregated social sentiment, narrative tone. |
| Outputs | Current phase (Disbelief → Capitulation), next-phase probability, transition risk alert. |
| Core logic | Map sentiment + funding + OI changes to phase clusters; detect flips + volatility spikes as transition triggers. |
| Facet | Detail |
|---|---|
| Inputs | Order size distribution, taker vs maker imbalance, liquidation clusters, whale wallet activity, ETF vs exchange flow. |
| Outputs | Retail dominance score (0–100), institutional dominance score, divergence flag. |
| Core logic | Classify flows by size and venue; retail = small-size aggression + liquidations; institutional = large ETF/CME/on-chain moves. |
| Facet | Detail |
|---|---|
| Inputs | Headline polarity, freq. of negative vs positive stories, influencer tone, institutional reports. |
| Outputs | Polarity (Bearish/Neutral/Bullish), pressure strength (0–100), behavioural tag. |
| Core logic | NLP polarity scored and weighted by source importance; negative clustering during dumps → high fear pressure. |
| Facet | Detail |
|---|---|
| Inputs | ETF flows (+ rolling avg), CME futures positioning, large on-chain transfers, long-term holder metrics. |
| Outputs | Institutional pressure (Accumulating / Distributing / Neutral), mass score, trend. |
| Core logic | Positive ETF + long-term holder accumulation → Accumulating. Negative ETF + large outflows → Distributing. |
| Facet | Detail |
|---|---|
| Inputs | Local highs/lows, liquidation heatmaps, orderbook depth, volatility spikes. |
| Outputs | Sweep events, trap type (Bull/Bear/None), liquidity targets, reversal probability. |
| Core logic | Move beyond a key high/low + immediate rejection = sweep. Sweep + heavy liquidations + opposite follow-through = trap. |
| Facet | Detail |
|---|---|
| Inputs | Daily ETF net flows, rolling flow trend (7D/30D), ETF premium/discount vs NAV. |
| Outputs | Flow bias (Inflow / Outflow / Flat), pressure score, regime tag. |
| Core logic | Sustained inflows → structural support. Sustained outflows → structural drag. Combine with trend to tag regime. |
| Facet | Detail |
|---|---|
| Inputs | Sentiment extremes (S01), liquidation extremes, retail dominance (B02), narrative polarity (N03). |
| Outputs | Inversion probability (0–100), contrarian long/short zone, risk tag (Conservative / Aggressive). |
| Core logic | Fear + liquidations + retail dominance + institutional accumulation → Contrarian Long. Euphoria + leverage + retail + institutional distribution → Contrarian Short. |
