Live
Trades
Forensic
Evolution
Context
DevOps 0
Optimizer 0
Portfolio
🇮🇳 India
📊 Analytics
Agent Pipeline
Cycle — · —
PA Signal —
Setup Quality —
Pattern —
R:R Ratio —
—
Trade History (last 20)
—
Time Dir Pattern Grade
Entry SL TP1
R:R Plan P&L Outcome Aligned Session
Forward-Outcome Distribution
—
Runtime Parameters
amber = modified from default
Agent Accuracy (last 100 cycles)
—
Trade Frequency
target 3-5/week
Session Performance
all-time
✓
Healthy
No checks recorded yet.
Optimizer Status
monitoring
Phase A: container polls local results directory.
Host crontab submits Spark jobs (see scripts/run_*.sh). Results drop into
— for ingestion.
Cache Telemetry (Anthropic)
—
Anthropic 1h prompt cache active. Static blocks (role + rules + output schema) cache for 1 hour;
dynamic market data is sent fresh per call. Stats reset on container restart.
API Cost Monitor
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Agent Calls (7d) Input Tok Output Tok Cache Hits Cost (7d)
Time Phase Strategy Status
Improvement HDFS Rationale
+ Add Holding
▶ Run Full Analysis
↻ Refresh Prices
Holdings
0 holdings · prices as of —
Symbol Exch Qty
Avg Cost CMP Invested
Curr Value P&L %
Last Verdict Last Analysed Actions
🇮🇳 India Equity Leg
Kite: checking…
▶ Run Scan Now
↻ Refresh
🔑 Kite Access Token (refresh daily)
1. Open Login URL
3. Save Token
Recent Signals
Time Symbol Exchange
Entry SL TP1 TP2
R:R Quality Status
No signals yet
📊 Analytics & Search
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🔍 Full-Text Trade Search
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Patterns
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Session Breakdown
Session Trades WR% PnL Expectancy
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Best Trading Hours (UTC)
Hour Trades WR% PnL
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Forensic Correlations (DuckDB)
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MLflow Model Versioning
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