ict-oracle@mainframe:~
LIVE LATENCY: 12ms UPTIME: 99.97%
  ██╗ ██████╗████████╗     ██████╗ ██████╗  █████╗  ██████╗██╗     ███████╗
  ██║██╔════╝╚══██╔══╝    ██╔═══██╗██╔══██╗██╔══██╗██╔════╝██║     ██╔════╝
  ██║██║        ██║       ██║   ██║██████╔╝███████║██║     ██║     █████╗
  ██║██║        ██║       ██║   ██║██╔══██╗██╔══██║██║     ██║     ██╔══╝
  ██║╚██████╗   ██║       ╚██████╔╝██║  ██║██║  ██║╚██████╗███████╗███████╗
  ╚═╝ ╚═════╝   ╚═╝        ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═╝ ╚═════╝╚══════╝╚══════╝
// SYSTEM BOOT SEQUENCE v3.14.802
$ initializing oracle_core...
[OK] Loading 802 ICT transcripts into neural matrix
[OK] Fair Value Gap detection module: ONLINE
[OK] Order Block scanner: ONLINE
[OK] Liquidity sweep analyzer: ONLINE
[OK] Market structure engine: ONLINE
[OK] Kill Zone timing system: CALIBRATED
[OK] Chart annotation renderer: READY
>>> SYSTEM READY. Welcome, Trader. The Oracle awaits your query.
oracle@ict:~$ analyze --instrument=ES --timeframe=15m
ICT ORACLE v2.0 — QUERY INTERFACE
System ready — connected to 802 transcripts | 10,019 knowledge chunks
oracle@ict:~$
Loading live prices...

> system.modules

6 ACTIVE
fvg_detector.py

>Fair Value Gap Detection

Scans all timeframes for price imbalances. Identifies bullish/bearish FVGs, measures gap magnitude, and predicts fill probability based on 802 ICT transcripts.

order_blocks.py

>Order Block Scanner

Traces institutional footprints through price action. Identifies valid OBs, measures mitigation levels, and flags high-probability reaction zones.

liquidity_sweep.py

>Liquidity Sweep Analysis

Maps buy-side and sell-side liquidity pools. Detects stop hunts, liquidity grabs, and engineered moves. Separates traps from true breakouts.

market_structure.py

>Market Structure Engine

Real-time BOS and CHoCH detection. Tracks swing highs/lows, identifies structural shifts, and maps the current market narrative.

kill_zones.py

>Kill Zone Timing

Monitors London, New York, and Asian sessions. Identifies optimal trade windows, power of three setups, and session-specific algorithms.

chart_annotator.py

>Chart Annotation Renderer

Generates annotated chart screenshots with every detected level, zone, and structure. Visual output paired with comprehensive written analysis.

> execution.protocol

4 STEPS
oracle@ict:~$ upload --chart=/path/to/chart.png --instrument=NQ --tf=15m
[UPLOAD] Chart received. Instrument: NQ | Timeframe: 15M
Processing queue position: 1
oracle@ict:~$ analyze --mode=full --transcripts=802
[ANALYZING] Cross-referencing with ICT knowledge base...
Scanning: FVGs ██████████ 100% | OBs ██████████ 100% | Liquidity ██████████ 100%
oracle@ict:~$ render --annotated-chart --analysis-report
[RENDER] Annotated chart generated: 2560x1440
Marked: 3 FVGs | 2 Order Blocks | 4 Liquidity Levels | 1 BOS
oracle@ict:~$ deliver --output=trader
[COMPLETE] Analysis delivered.
The Oracle has spoken. Trade wisely.

> billing.plans

2 TIERS
pricing_matrix.sql
Plan Requirement Analyses Features Action
$CIPHER HOLDER Hold 2M+ $CIPHER 10 / month Full access · Priority queue · All instruments
PAY-PER-QUERY Web3 Payment Per analysis Full access · Any instrument · Instant delivery

// 802 transcripts. Pure ICT methodology. Zero noise.

$ The Oracle awaits your query, Trader.

Real-time analysis. Any instrument. Any timeframe.

> INITIALIZE_SESSION