Training Jobs Matrix

Terminal Job Pipeline Explorer
SYSTEM ONLINE • 1,824 Neural Pipeline Stream
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+1 (800) 555-0199
Total Neural Models
1,728
18 Pairs • 16 Timeframes • 6 Architectures
Completed Pipelines
1,728
100.0% Validation Success
Active Workers
0
Resource-Aware Dispatch
Cluster Health SLA
99.98%
10 CPU Cores • Real-Time Stream
Training Job Matrix Explorer
Showing 0 of 0 jobs
Job ID Pair Timeframe Model Architecture Status Test Loss (RMSE) Artifact File Path Action
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CPU Utilization 0%
RAM Usage 0 GB
GPU VRAM Isolation CPU / Integrated
Execution Cores Allocation
Parallel execution pool active on 10 CPU Cores. All model training workers running with resource-aware workload balance.
Model Training State Storage
SQLite database: jobs.db tracking 2,400 total training jobs across 18 pairs & 16 timeframes.
Real-Time Market Graph: BTC/USDT
Live streaming candles for 18 trading pairs
Select Pair:
Timeframe:
Automated Continuous Backtesting Engine INACTIVE
Automated loop re-evaluates all 1,824 models continuously.
Strategy Backtest Leaderboard Matrix
Rank Strategy / Job ID Pair Timeframe Model Net Profit ($) Win Rate % Sharpe Ratio Max Drawdown % Action
Loading backtest leaderboard...
LIVE PAPER TRADING ACTIVE: TOP 24 MODELS (TOP 1% BEST)
Running 24/7 real-time market tick inference across 24 top-ranked models (BTC, ETH, SOL, UNI, BNB, DOGE, AVAX, XRP and more).
Status: 24/24 Workers Active Live Equity: $240,126.02 Realized PnL: +$126.02 (+0.22%) Sync SLA: Active
Top Instant Profit Crypto (#1)
+$126.02
ETH_USDT (1h) • model_2_gru
Runner-Up Profit Crypto (#2)
+$135.08
LTC_USDT (3m) • model_3_tcn
Instant Portfolio PnL ($)
+$126.02
Mark-to-Market Realized + Unrealized
Active Profitable Workers
24 / 24 Active (75.0%)
Updated Live (1-Min Pulse Sync)
Real-Time Live Market Paper Trading Engine
Mark-To-Market Real-Time Equity Curve
LIVE FEED Tick Frequency: 2000ms
Initial Capital
$240,000.00
Current Equity
$240,126.02
Session Peak
$240,185.40
Net Return
+0.22%
Sharpe Ratio
2.84
Max Drawdown
-0.08%
Active Strategy Pair
DOGE_USDT (4h)
model_4_transformer
Live Mark Price
$0.1026
Real-Time Market Stream
AI Signal Direction
SHORT
Score: -0.037060
Portfolio Total Equity
$9,998.22
Realized PnL: -$1.78 (-0.02%)
Moving Average Spread
Spread: +0.0000
Bollinger Bands Telemetry
%B: 0.50 | Bandwidth: 2.1%
Parabolic SAR Trend
Trend: Bullish
SAR Distance: +0.12%
Live Executed Fills & Orders Audit
S.NO Execution Date & Time (IST) Crypto Pair Side Entry Price Exit / Mark Price Position Size Realized PnL ($) Return % Outcome
Initializing live trade stream...
Top 24 Models (Top 1% Best Models): Live Parallel Trading Leaderboard 24 Workers Running
Real-time live market trading stream executing inference on all 24 top-ranked models (Top 1% Best)
Rank Strategy / Pair Model Architecture Backtest Sharpe Win Rate Live Price Signal Position Realized PnL ($) Status
Loading Top 24 parallel workers...

LIVE BACKGROUND PROCESS LOG STREAM (ADMIN CONSOLE)

Auto-Streaming (2s)
[System Initialization] Connecting to live background process log stream...
Date:
Total Logs: 0
Log ID Timestamp Level Component Action / Event Name Detailed Event Log Rows Processed Storage Destination
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Google Cloud Logging & Data Storage Pipeline GCP CLOUD CONNECTED
Project ID: flow-tester-quant-prod | Bucket: flow-tester-logs-storage | Cloud SQL: CONNECTED (34.132.233.162)
GCP Compute Instance
flow-tester-gpu-vm
IP: 34.132.233.162 | 8 Cores (100% Load)
GCS Cloud Storage
flow-tester-logs-storage
124 Migration Dumps | 1.42 GB Archived
Cloud SQL Database
PostgreSQL 15 (ACTIVE)
Pool: 12 Active Connections | < 1ms Latency
Real-Time Ingestion
1,824 logs / min
Auto 30-Day Purge Policy Enabled
GCS Storage Bucket Archive Dumps
GCS Console
Filename / Dump Last Sync Size Status
dynamodb_gcs_migration_dump.json 2026-10-05 15:44 42.8 MB GCS SYNCED
paper_trading_fills_audit.json 2026-10-05 14:12 18.4 MB GCS SYNCED
model_training_jobs_snapshot.json 2026-10-05 12:00 128.1 MB GCS SYNCED
GCP Infrastructure Service Health
Google Cloud Logging API
Logging v2 Endpoints Active
HEALTHY
Google Cloud Storage API
Bucket gs://flow-tester-logs-storage
HEALTHY
Cloud SQL PostgreSQL Auth Proxy
Target IP 34.132.233.162
CONNECTED
LIVE STREAMING
# Visit ID Timestamp (IST) Client IP Address HTTP Method & Path Status Latency Device User-Agent
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AWS (Amazon Web Services) Node Cluster
EC2 Compute Instances & S3 Model Dataset Storage
AWS Ready
Instance ID / Name Instance Type vCPUs / RAM Region / Zone Target Role Status
aws-c5-9xlarge-node-1 c5.9xlarge 36 vCPUs / 72 GB RAM us-east-1a High-Throughput Parallel Backtesting CONFIGURED
aws-c7i-16xlarge-node-2 c7i.16xlarge 64 vCPUs / 128 GB RAM us-east-1b 2,400 Model Parallel Matrix Trainer CONFIGURED
aws-g5-12xlarge-gpu g5.12xlarge 4x NVIDIA A10G (96GB VRAM) us-west-2a CUDA Parallel Neural Training STANDBY
Azure (Microsoft Azure) Infrastructure
Azure VM Scale Sets & Blob Storage Sync
AZURE ACTIVE
VM Name Size Cores / Memory Azure Region Workload Status
azure-standard-d64s-v5 Standard_D64s_v5 64 vCPUs / 256 GB RAM East US 2 Continuous Time-Series Optimization READY
azure-nc24ads-a100-v4 Standard_NC24ads_A100_v4 1x NVIDIA A100 (80GB) East US Deep LSTM & Transformer Training STANDBY
GCP (Google Cloud Platform) Primary Cluster
Project: ai-trading-bot-510107 | Web Dashboard & GCS Datasets
GCP Primary
Instance Name Zone Machine Type IP Address Service Role Status
gcp-web-dashboard us-central1-a e2-medium 35.238.154.79 Web Dashboard & Master API Server RUNNING
instance-training-gpu us-central1-c g2-standard-16 (NVIDIA L4) Internal IAP 2,400 Neural Model CUDA Pipeline SCHEDULED (09:00 AM)
gcp-heavy-backtesting-node us-central1-a e2-standard-4 136.114.149.215 100% CPU Parallel Backtest Node RUNNING
gcp-paper-trading-daemon us-central1-a e2-medium 34.66.238.80 Top 24 Models Live Trading Daemon RUNNING
OCI (Oracle Cloud Infrastructure) Cluster
Oracle Autonomous Database & Ampere A1 Compute Nodes
OCI Active
Compute Shape OCPUs / Memory OCI Region Workload Description Status
VM.Standard.A1.Flex 16 OCPUs / 64 GB RAM us-ashburn-1 ARM64 Parallel Feature Extraction ONLINE
BM.GPU4.8 8x NVIDIA A100 (640GB VRAM) us-phoenix-1 Large-Scale Neural Hyperparameter Tuning STANDBY