🔍 Signal Insights
Evidence-first answers to the questions traders actually ask. Each insight is backed by measured data from the Algo Tick sensor network, not opinions or recycled content.
Does Orderbook Imbalance Predict Bitcoin?
Can the ratio of buy-to-sell depth in the BTC perpetual orderbook forecast short-term price direction?
Is High Funding Rate Bearish?
When perpetual futures funding rates are extremely positive, does Bitcoin tend to drop?
What Causes Liquidation Cascades?
What conditions lead to cascading liquidations in crypto perpetual futures, and can they be predicted?
Does Gamma Exposure Change Volatility?
Does the aggregate dealer gamma exposure from options markets affect Bitcoin's realized volatility?
Does Bridge Flow Precede Price Moves?
When large amounts of crypto move across bridges (e.g., Ethereum → Arbitrum), does it predict upcoming price action?
How These Insights Are Built
Every insight page follows the same structure:
- Direct answer — yes, no, or mixed, stated upfront
- Evidence table — hit rates, sample sizes, and time horizons from live data
- Key chart — 24-hour history of the relevant signal pulled from the API in real-time
- Caveats — known failure modes and limitations
- Next steps — links to the signal methodology, raw dataset, and related strategy
Data is sourced from the signal methodology and the historical data library. Live charts update every 60 seconds.
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