CryptoAgent V2 Algorithmic Risk & ML Telemetry
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READ-ONLY TELEMETRY STREAM

CryptoAgent Intelligence

Real-time ML shadow validation, open position monitoring, and hardware telemetry without chart overhead.

TOTAL PNL (24H)
ACTIVE POSITIONS
DEEP LEARNING READINESS

Overall Research Progress

0%
ACTIVE MODEL SET XGBoost + PyTorch
DATASET WINDOW 35-Day Target
DATA COMPLETENESS 10 Symbols Tracked
DL READINESS GATE 0 / 6 Passed
WALK-FORWARD EVALUATION

Model Horizon Quality

Purged & Cost-Adjusted
15 MIN WAITING
Matured Examples
Balanced Accuracy
Net Return (After Fees)
Max Drawdown
30 MIN WAITING
Matured Examples
Balanced Accuracy
Net Return (After Fees)
Max Drawdown
60 MIN WAITING
Matured Examples
Balanced Accuracy
Net Return (After Fees)
Max Drawdown
VALIDATION Safeguards

Deep Learning Readiness Gates

0 / 6 Passed
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SHADOW EVALUATION

Shadow Mode Evidence

Advisory Only
PREDICTIONS LOGGED
MATURED OUTCOMES
ACCURACY RATE
MEMORY ALERTS 0
NODE TELEMETRY

Hardware & Resource Metrics

Live Monitor
CPU USAGE
MEMORY (RAM)
— / — GB
STORAGE (DISK)
— GB free
CPU PACKAGE POWER — W Intel RAPL Hardware Sensors
EST. LAPTOP TOTAL POWER — W Integrated RAPL Estimate
SQLITE DATABASES — MB Publisher — MB
ENERGY CONSUMPTION

Cumulative Energy Record

Persistent
TODAY — Wh Estimated Watt-Hours
TOTAL RECORDED — Wh — kWh
CURRENT SESSION — Wh Resets with service restart