AI Forex Forecast & Currency Analysis

Forex — Quantitative Target Prices

Two models, one public scoreboard. Every asset gets a BUY or SELL side with the odds of finishing higher over the next 5 trading days, the limit price to bid and the stop that protects it — refreshed 3x daily.

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What to do today (5 trading days ahead · two models, one scoreboard)

Strategy — BUY above 50% odds of finishing higher, SELL below. Limit orders only, stop attached, 1% of equity at risk per trade.
No directional edge is proven yet — the odds below are ranked tilts, not promises. Details in What the numbers mean, below. The book that does make money carries no forecast at all: The Portfolio → (Sharpe 1.11, −14% worst drawdown).

What the numbers mean

“Unvalidated” is a status, not boilerplate. This model has not yet beaten a coin flip on a public, scored record: ~48% over 63 calls here, 50.1% over 1,086 Kronos predictions. Every call is booked at its target date, hits and misses alike. If it stays at 50%, the column is worth nothing and this page will keep saying so.

Why nothing here exceeds 55%. The raw model sometimes implies 83% confidence; nothing measured on this site supports that. Every tilt is published on a squashed 45–55% scale — the ranking survives, the overclaim does not. Hover any probability for the uncapped number.

What is genuinely calibrated: the fill odds, the 80% price range and the volatility behind both — 20,000 simulated paths per asset, checked by walk-forward coverage tests. Direction is a forecast; travel is arithmetic on volatility, which is why the orders are built around it. The order geometry on its own still loses net of costs over 8,770 walk-forward trades: it says where to bid, not whether to.

How to trade a row. Place the limit at the entry — never a market order. If price never comes to you, you have no trade that week, and that is a normal outcome. The moment you are filled, set the stop and the take-profit. Risk at most 1% of the account between entry and stop, so every position carries identical risk whatever the asset's volatility.

Model 1 — Swiss Quant (our engine: momentum, volatility, cross-asset and macro features)

Model 2 — Kronos (open-source candlestick foundation model, AAAI 2026, run daily on this server)

Move Probabilities

Chance price ends up at least X%, inside ±X%, or down at least X% — the three add to 100%. Hover a chip for the touch odds, which is what fills a limit order.

Forex Pattern Recognition & Economic Analysis

Advanced forex pattern recognition using data provider server FX data and quantitative analysis. Detect trading patterns in major currency pairs with AI-powered insights, real-time economic calendar, and professional forecast models for EUR/USD, GBP/USD, USD/JPY, and more.

📅 Economic Calendar & News 🌐 Live Economic Calendar

⚠️ Important Disclaimer: This platform utilizes data provider server FX API and machine learning algorithms for forex pattern recognition and market analysis. All results are purely informational and educational in nature. This tool does not provide financial advice, investment recommendations, or trading signals. Forex trading involves substantial risk of loss, including the potential loss of your entire investment. Currency markets are highly volatile and influenced by numerous economic and geopolitical factors. Always conduct thorough research and consult with qualified financial advisors before making any trading decisions.

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⚙ How Swiss-Quant AI Generates Forex Forecasts

Ensemble FX Prediction Architecture

Swiss-Quant forex forecasts use VotingRegressor ensemble models combining XGBoost, LightGBM, and gradient boosting regressors optimized via BayesSearchCV. The system covers 16+ major and cross currency pairs including EUR/USD, GBP/USD, USD/JPY, USD/CHF, AUD/JPY, NZD/USD, and CAD/JPY, generating 5-day directional forecasts with confidence scoring.

Currency-Specific Feature Engineering

The FX model processes intraday data across four timeframes to compute technical features: RSI divergence patterns, MACD histogram momentum, Bollinger Band mean-reversion signals, Stochastic crossovers, and ADX trend-following filters. Forex-specific features include interest rate differential momentum between currency pairs, carry trade attractiveness scores, and central bank policy divergence metrics.

Macro-Economic Integration

Currency forecasts incorporate key macro drivers: central bank interest rate expectations, inflation differentials (CPI, PPI), employment data (NFP, unemployment rate), trade balance flows, GDP growth differential, and commodity price correlations for resource-linked currencies (AUD, CAD, NZD). The model also tracks DXY dollar index momentum and sovereign yield spread movements as regime indicators.

Walk-Forward Currency Validation

All forex predictions use walk-forward validation with rolling 180-day training windows and purged cross-validation. The model is retrained weekly to capture evolving central bank policy shifts and macro regime changes. Each prediction includes directional accuracy (live scored record published on this page), mean absolute error in pips, and confidence scores calibrated against historical prediction reliability.

Disclaimer: The information provided on this platform is for educational and informational purposes only and does not constitute financial advice, investment advice, or trading advice. Swiss Quant Capital is not a registered investment advisor, broker-dealer, or financial planner. Past performance does not guarantee future results. All investments involve risk, including the possible loss of principal. You should consult with a qualified financial professional before making any investment decisions. The trade ideas and forecasts presented are generated by AI models and should not be relied upon as the sole basis for any investment decision.