EUR/USD · GBP/USD · USD/JPY
AUD/USD · USD/CAD
Live Forex, Gold & Bitcoin Market Intelligence for Traders
A trader's market cockpit built for clarity, not noise. The evidence-guard research model in the 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.
BITCOIN RESEARCH · INCLUDED IN PRO
A dedicated engine for Bitcoin.
Daily momentum, market-cycle analysis, stablecoin liquidity and funding signals in one BTC research desk. Access it with all 21 markets for $10/month or $100/year.
SUPPLIED HISTORICAL SIMULATION · JAN 2018–OCT 2026 · UNVERIFIED
These figures come from the supplied model report. The underlying data was not supplied, so we have not reproduced or independently verified them. They describe a long-only exposure simulation, with assumed 0.1% fees on exposure changes. They do not measure live trading results or the engine's partial-exit trade plans. Past performance does not guarantee future results.
See the reported comparison and test limitations
| Period | Model return | Buy & hold | Model drawdown | Buy & hold drawdown |
|---|---|---|---|---|
| 2018–Oct 2026 | +1,244% | +738% | −46.8% | −76.6% |
| 2018–2021 | +690% | +391% | −35.9% | −67.4% |
| 2022–Oct 2026 | +70% | +71% | −32.1% | −66.9% |
The report also states a +8.5% average 30-day return after STRONG BUY readings. Those windows overlap and are not independent trades or a promised future return. Funding history was excluded from the simulation. Optional FRED macro results (+608% return; −29.3% drawdown) refer to a different configuration; FRED inputs are not enabled on this site. BTC research currently has no verified forward trade win rate. SELL means reduce spot exposure; short trades are disabled.
Current model results
Only the current model is counted above. 0 current-model records in the latest 500-record window. Zero outcomes means there is no current-model evidence yet; it does not erase earlier results. Accuracy uplift remains unproven.
Earlier recorded snapshot · 28 October 2026
Historical reference: 17 decisive paper trades. This is not the current model's win rate. A 58.8% win rate with a negative average result did not establish a profitable edge.
Technical model identifier
GBTC-MTF-4.8-EVIDENCE-GUARD| Published UTC | Market | Direction / tier | Entry / stop / target | Outcome |
|---|---|---|---|---|
| No visible current-model published records in this window. | ||||
Paper results, not broker fills. Past results do not guarantee future results. Estimated costs and ambiguous outcomes remain in the accounting. Detailed record and accounting →
Know the market before you act.
Asset matrix
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.
Your trade workspace
Select a market to inspect its published plan.
Hypothetical position-size worksheet
Enter tick value per 1 lot in your account currency from your broker. These inputs are examples you choose, not a suggested risk. EARLY research has no assigned size. Minimum lot, margin, commission, gaps and slippage require separate checks.
Enter broker specifications to calculate.
Economic calendar
Current cohort: published wins, losses and win rate.
Forward evidence by strategy
Mean-reversion setup
Trend-continuation setup
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.
Public signals, with clear delivery availability.
Read EUR/USD, GBP/USD, USD/JPY, AUD/USD and USD/CAD paper signals free; subscribe for the full desk. Completed outcomes for every market remain public. Automatic delivery is offered only through configured member channels. WhatsApp is for support and purchase enquiries; it does not subscribe you to alerts.
Evidence tiers, not guaranteed trades.
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 research holdout 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.
Legacy research positions only
Existing EARLY positions remain tracked. In the current research model, new unvalidated ideas stay watch-only and cannot open paper positions. No live confidence or Kelly allocation is assigned.
Directional bias — watch only
The model sees direction but technical, Bayesian, portfolio, macro or model-health evidence is incomplete. No actionable risk is published.
Completed scan, no qualified setup
WAIT is a completed scan. UNAVAILABLE means the engine failed or has not completed; it is not a trading verdict.
Hybrid research engine. 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, rolling forward-health monitoring and a cross-asset correlation guard. No target win rate is promised.
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 can suppress overlap with open paper trades when comparison data is present. A maximum of four open paper signals are allowed across all markets.
Rolling health monitor
A rolling likelihood health heuristic 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.
12 core indicators + statistical safety layers.
Risk sizing overlay
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.
Context 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 logic