Cross-Timeframe Coherence
Public interface examples compare directional state across intraday and higher timeframes so users can see whether signals align or conflict.
MARKET INTELLIGENCE PRODUCT
CoreX Signal AI
An explainable, real-time market intelligence command center combining quantitative processing, cross-timeframe context, probabilistic forecasting, attribution, risk context and macro/NLP intelligence.
COREX SIGNAL AIPUBLIC PRODUCT MAP
ANALYSISMulti-TimeframeRegime + factor context
FORECASTMonte CarloProbabilistic ranges
EXPLAINAttributionDriver-level reasoning
DELIVERY11-Language PWAReal-time WebSocket client
MT5 · 9 TFs × 7+ Symbols→Python Quant→Socket Relay→11-Language PWA
Source scope: This page summarizes the public CoreX Signal AI product site. Numerical dashboard examples shown on the official site are explicitly labeled simulated/illustrative there and are not represented here as live performance.
01 — AI COMMAND CENTER
Decision context, not a one-line signal.
The product page presents a dense command-center model designed to combine direction, confidence, regime, risk, execution context and explanatory factors into one interface.
Execution Context
The command-center layout includes risk classification, risk/reward context, position-sizing surfaces and SL / entry / TP presentation.
Probabilistic Forecasting
Monte Carlo forecasting is presented with confidence intervals, path counts, horizon and lower/median/upper range outputs.
Institutional Depth Map
Visual layers for support, resistance, liquidity, demand/supply zones and institutional-range context are part of the documented dashboard surface.
Attribution & Impact Drivers
Factor-level contribution surfaces expose which technical or statistical inputs push the decision score positively or negatively.
Market Regime Pulse
Regime, correlation and session context are shown as a separate state rather than hidden inside a single model score.
Macro Intelligence
The product surface includes a macro/news intelligence feed with NLP-oriented sentiment and impact context.
Factor Cluster Analysis
Multi-axis factor grouping provides another view of how the system decomposes market state and decision context.
Multi-Channel Alerts
The public interface shows Telegram, email and push-notification delivery as real-time signal surfaces.
Multi-Asset Signal Feed
Published examples span crypto, forex, equities and gold/market instruments, while the system architecture describes 7+ symbols.
Reasoned Signal Layouts
BUY and HOLD examples are presented with score, threshold and factor reasoning. The official page explicitly labels these examples illustrative.
Price & Signal Chart
The public chart surface exposes M1 through monthly context, with signal overlays and multiple timeframe controls.
02 — EXPLAINABLE AI
Factors are surfaced instead of hidden behind a black-box label.
The official product page describes an attribution model built around statistical, machine-learning, fractal and NLP factors.
PCA
Principal Component Analysis
Used in the published product narrative to reduce noise and isolate dominant market forces.
ML×3
Model Ensemble
The current public page names Random Forest, XGBoost and LSTM as a weighted consensus ensemble.
H
Hurst / Fractal Memory
Long-range memory and persistence context are surfaced as an explanatory contributor.
NLP
News Sentiment
Macro/news text is processed into sentiment and impact-oriented context in the published interface.
Public-claim boundary
Specific factor weights, parameter counts, model internals and performance-style figures visible in the official demo are product-site representations. This public GitHub reference does not independently audit or reproduce those private implementation details.
03 — SYSTEM ARCHITECTURE
The public data path from broker feed to global client.
CoreX Signal AI publishes a concrete end-to-end architecture for its real-time delivery surface.
SOURCEMT5 Broker DataRaw OHLCV · 9 TFs × 7+ symbols
↓
COREPython Quant EngineSignal processing · ML ensemble · risk engine
↓
RELAYFlask-SocketIO ServerSignals + JSON · WebSocket delivery
↓
CLIENTPWA DashboardReal-time · 11 languages
AUTHENTICATIONHMAC-SHA256Published client authentication method
DELIVERYDual PipelinePublished redundancy/delivery concept
DATAAtomic IntegrityPublished data-integrity property
EDGEGlobal CDNDistributed client delivery layer
PERFORMANCESub-200 ms targetPublic architecture target/claim
AVAILABILITY99.9% targetPublic product target, not an SLA in this repo
SOURCE COVERAGE9 TFs × 7+ SymbolsPublished architecture description
CLIENT LANGUAGE11 LanguagesPublished real-time PWA capability
04 — TECHNOLOGY & DATA ECOSYSTEM
Published integrations across market data, infrastructure and visualization.
The official Signal AI page lists these brands/technologies as part of its technology and infrastructure stack. Listing does not imply endorsement by those companies.
MetaTrader 5Market data pipeline
BloombergInstitutional market data
Refinitiv / LSEGData & analytics
FactSetFinancial research
S&P GlobalMarket intelligence
ICE DataExchange & pricing data
TradingViewCharting & visualization
BinanceExchange market data
CloudflareCDN / edge security
PostgreSQLPrimary datastore
RedisCache / real-time layer
MongoDBAnalytics store
LIVE PRODUCT
Explore the official CoreX Signal AI experience.
See the current dashboard, signal layouts and product interface on the official site.