QUANTITATIVE MARKET TERMINAL
Live Forex, Gold & Bitcoin Market Intelligence for Traders
A trader's market cockpit built for clarity, not noise. The v4 hybrid research engine combines live market data, multi-timeframe technical signals, regime classification, Bayesian out-of-sample evidence, macro context, portfolio-risk controls and forward model-health monitoring in one transparent workflow.
Model stateCONNECTINGWaiting for the live market-data service.Provider details will appear here.
Research transparency: Built and maintained by Fahad Farid, who has traded and studied financial markets since 2009. Read the validation evidence, editorial policy and risk disclosure.
TRADER RADAR
Live availability • transparent statusKnow the market before you act.
CURRENT MODEL FORWARD TRACK RECORD
Full track record →Current-model wins, losses and win rate — forward tracked.
MarketTierDirectionResultR
Tracking starts with v3.1 deployment——WAITING—
This is a forward-only public record. Earlier signals are not backfilled. Ambiguous same-candle outcomes, timeouts and cancelled signals are shown separately rather than quietly counted as wins.
HOW TO READ THE SIGNALS
Full methodology →Two setup families, one evidence standard.
Highest-evidence BUY / SELL
Strict technical alignment plus chronological holdout evidence and a Bayesian probability that the setup still clears its target-specific break-even hurdle after a cost buffer.
Balanced BUY / SELL
Positive out-of-sample expectancy with a slightly lower evidence threshold than Confirmed. Trend-pullbacks and range-fades are validated against different targets.
Smaller-risk active setup
Requires positive Bayesian/OOS evidence but uses the smallest risk multiplier. Range-fades may use shorter 0.50–0.75R targets; trend setups retain larger targets.
Directional bias — watch only
The model sees direction but technical, Bayesian, portfolio, macro or model-health evidence is incomplete. No actionable risk is published.
No qualified setup
CHAOS, neutral conditions or insufficient evidence intentionally produce WAIT. The system is designed to reject trades rather than manufacture activity.
Hybrid Research Engine v4. The 12 core indicators remain, but they are now surrounded by statistical safety modules: Kaufman efficiency, a Hurst persistence estimate, return entropy, Savitzky–Golay exhaustion, Bayesian edge validation, forward SPRT model-health monitoring and a cross-asset correlation guard. No target win rate is promised.
HYBRID RESEARCH ENGINE
Research modules are guards, not marketing decorations.Use more math only where it earns its place.
Trend, range or chaos
ADX is combined with Kaufman efficiency, Hurst persistence, volatility percentile and return entropy. CHAOS forces WAIT. RANGE unlocks mean-reversion logic; TREND uses pullback/momentum logic.
Probability above break-even
A Beta posterior is updated from chronological holdout outcomes. A signal must show high posterior probability that its target-hit rate exceeds the target-specific break-even rate plus a cost buffer.
Factor overlap control
The USD exposure guard remains, while recent 4H return correlations now suppress highly overlapping cross-asset trades. A maximum of three new actionable signals can survive one scan.
Sequential decay monitor
A Wald-style SPRT monitor watches only the current model's forward WIN/LOSS record. After enough outcomes, materially weak evidence can pause new signals until the model is reviewed.
What we deliberately did not add: a 40-indicator voting pile, Gann angles, unverified centralized-volume claims, or a public 75–80% win-rate promise. Extra features increase overfitting risk unless they improve unseen results.
MODEL OUTPUT
WAITModel quality gate evaluating current conditions.
target rate
Estimated target-before-stop probability
Shown only for an actionable BUY/SELL signal whose direction, entry, stop and target are defined. It is a smoothed historical estimate, not a guarantee.
Multi-factor confirmationLoading model diagnostics…
QUANT STACK
NO TRADE is a valid result • CHAOS forces WAIT12 core indicators + statistical safety layers.
KELLY-INSPIRED RISK
FractionalRisk sizing overlay
Raw Kelly
25% Kelly
Applied risk
Kelly changes position size, not signal direction or accuracy. The live engine uses a conservative quarter-Kelly overlay, shrinks it for sample uncertainty, and caps account risk by tier. This is a sizing framework, not a profit guarantee.
MARKET OVERVIEW
Waiting for live dataAsset matrix
MARKET INTELLIGENCE
Auto insight layerContext before conviction.
Economic-event guard
The signal engine now watches relevant high-impact calendar events by currency. It pauses new entries around major releases and cuts Kelly/tier risk during pre-event caution windows instead of guessing the news direction.
High-impact • currency-aware • timestampedPersistence + noise classifier
ADX, Kaufman efficiency, Hurst persistence, volatility and return entropy jointly classify TREND, RANGE, CHAOS or neutral transition conditions before the setup logic is allowed to act.
Regime-selective • chaos = WAITBTC 24/7 filter
Bitcoin uses separate volatility and session assumptions because it trades continuously and can experience larger intraday moves.
Asset-specific logicMACRO CONTEXT
Next 7 days · worldwide releases · all importance levelsEconomic calendar
Loading the next 7 days of worldwide economic events…
Economic releases supplied by Biquote. Actual values may be null before publication. Times are shown in your device timezone.
TRADING TOOLS