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Cognition Dashboard
How your intelligence engine is compounding over time
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The Cognition Engine tracks your decisions, outcomes, and behavioral patterns. Sign in to access your data.
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System Maturity
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This tracks how much data the Cognition Engine has accumulated. Decisions are position theses you create on the My Thesis page (e.g., "I'm long BTC because..."). Outcomes are measured automatically 30 days later. Calibration happens when enough outcomes exist to recalibrate signal weights. More milestones = more accurate diagnostics.
Hit Rate = % of your decisions that were profitable after 30 days. Avg Return = mean 30-day return across all measured decisions. Signal Accuracy = weighted average of how often each asset's signal (BUY/SELL/HOLD) was correct, based on price movement during the signal period. Data Maturity = how many milestones the system has reached. Green (good) above 60%, yellow (watch) 40-60%, red (needs work) below 40%.
Signal Track Record
Each line tracks the cumulative return of following an asset's signal. When a signal changes (e.g., BUY to HOLD), the system measures the price return during that signal period and adds it to the running total. An upward-trending line means the signals are generating positive returns over time. This measures signal quality, not your personal trades.
Signal outcomes accumulate as signals change.
Check back after the first signal cycle completes.
Check back after the first signal cycle completes.
Regime Timeline
The market regime is classified daily based on BTC price momentum, RSI, funding rates, and fear/greed index. Accumulation (blue) = smart money buying, prices quiet. Expansion (green) = uptrend confirmed, momentum rising. Distribution (amber) = gains being taken, momentum fading. Contraction (red) = downturn, risk-off. Hover over segments for duration details.
Accumulation
Expansion
Distribution
Contraction
Regime snapshots capture daily at midnight UTC. First data appears after the next snapshot.
These track the system's self-improvement loops. Weight Calibration adjusts how much each factor (RSI, momentum, sentiment, etc.) influences signals — it runs monthly once enough signal history exists. Research Annotations test whether claims from the research pages (e.g., "ETH benefits from L2 activity") were actually supported by market data. Source Quality scores the 28 news sources in your daily digest based on which ones correlate with actionable signals.
Weight Calibration
Research Annotations
Source Quality