Deep Analysis
Trade Forensics
Cross-tabulate every trade — filter by regime, strategy, LLM action, and outcome. See where the bot's edge actually comes from.
Summary
Confidence vs R/R Achieved
Does higher LLM confidence actually predict better outcomes? Green = WIN, Red = LOSS. Dashed line = regression.
WINLOSSTrend
Cumulative P&L Journey
Each bar shows one trade's impact on running P&L. Green = profit, Red = loss. Final value shown at right.
Time Analysis
Win Rate by Hour (UTC)
When does the bot win? Each cell = one hour of day. Darker green = higher win rate.
High WR Low WR No trades
Hour-of-Day Win Rate
Derived from
entry_timestamp_ms field. Shows which hours of the day (UTC) historically produce wins vs losses.Trade Clusters
Scatter of every trade by day-of-week (Mon–Sun) vs hour of day (UTC). Dot size ∝ |P&L|.
Exit Timing Heatmap
Average P&L per exit hour and day of week. Gold border = top-3 best exit windows.
Setup Analysis
Signal Confidence vs R:R Achieved
Plots strategy signal confidence against actual risk:reward per trade. Dashed lines at 1.0×, 2.0× R:R and 75% confidence threshold.
Sequence Analysis
Rolling Sharpe Ratio
10-trade rolling window. Green fill = positive Sharpe. Dashed lines at 1.0 (Good) and 2.0 (Excellent).
Trade Sequence Timeline
Each segment is one trade — width ∝ hold duration, height ∝ |P&L|. Running equity line above. Hover for detail.
Outcome Probability
Win Probability by Context
Conditional win rates by regime, confidence level, and trade sequence. Shows where the bot has the strongest edge.
P&L by Leverage Tier
Win/loss dollar size and win rate across leverage tiers. Dashed line shows declining win rate at higher leverage.
Worst Trade Autopsy
Deep-dive on the single worst trade — entry/exit marked on price chart, root cause analysis, lessons for next time.
Worst trade autopsy requires MAE and price-path data — not yet available from the API.
Signal Confidence Decay
How each strategy's confidence score evolves after entry. Dashed line = action threshold. Marker = actual close point.
Signal confidence decay requires intra-trade confidence snapshots — not yet available from the API.
Exposure Risk Matrix
Average risk exposure (position size × volatility) per symbol and UTC time slot. Darker red = higher risk concentration.
Exposure risk matrix requires position-size and volatility data per time slot — not yet available from the API.
Raw Trade Cards
Filter Trades
Outcome:
Symbol:
Regime:
LLM Action:
Strategy: