XAUUSD Forecast Engine — Gold Price Prediction in Python

Elliott Wave detection · Analog pattern matching · M30 TP/SL simulation · Walk-forward audit · Full source code included

$50 One-time · No subscription · Full source code
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XAUUSD Forecast Engine GUI Forecast Engine Results Dashboard

What It Does

The XAUUSD Forecast Engine is a 1,282-line Python analytical pipeline that reads your gold M30 CSV data and produces a complete, statistically validated forecast report. It combines institutional-grade techniques — Mahalanobis distance similarity matching, Wilson confidence intervals, multi-degree Elliott Wave detection, and causal walk-forward auditing — into a single runnable file.

You load your CSV. You click Run. The engine outputs:

  • Current Market State: Close price, cycle position (bull/bear, duration, average length), similar historical days count
  • Elliott Wave Analysis: Wave structure label, confidence score, Fibonacci conformance, projected targets and dates
  • Price Path Projections: 1, 3, 5, 7-day OHLC forecasts with P10/P50/P90 bands and dispersion scores
  • Day-by-Day Calendar: Next 7 trading days with individual OHLC predictions per day
  • RSI Analysis: Current RSI zone, divergence detection with scores, historical level cross probabilities
  • Reversal Signals: Pattern detection (Hammer, Shooting Star, Doji, Marubozu, Engulfing) with weighted scores
  • Best Trade Setup: Auto-optimized TP/SL/entry-offset/order-type combination ranked by expected value
  • Walk-Forward Audit: Causal accuracy, Brier score, P&L by confidence decile, profit factor, drawdown

Feature Breakdown

🎯

Analog Pattern Matching

Finds historically similar market conditions using 13 engineered features. Employs Mahalanobis distance with pseudo-inverse covariance for robust multivariate similarity — more sophisticated than simple Euclidean or cosine distance. Wilson score interval provides statistically sound confidence bounds.

🌎

Multi-Degree Elliott Wave

Detects impulse (1-2-3-4-5) and correction (A-B-C) structures at three fractal degrees. Validates against strict Elliott rules — W3 never the shortest, W2/W4 never retrace 100%, no W4-W1 overlap. Fibonacci quality scoring quantifies wave validity. Projects target prices and estimated completion dates.

📈

Multi-Horizon Price Paths

Projects OHLC for 1/3/5/7 day horizons with P10, P50, P90 percentile bands. Shows median open/close, high/low excursions, range, bull probability, and dispersion metrics. Each horizon uses only complete forward paths from analogs — no interpolation or averaging across incomplete periods.

💪

M30 TP/SL Simulation

Tests every TP/SL/entry-offset/order-type combination across all M30 analog paths. Simulates actual order execution — limit vs stop, fill detection, intrabar TP/SL competition resolution. Ranks setups by expected value per unit of risk. No theoretical backtest — real bar-by-bar path simulation.

🔎

Walk-Forward Audit

The most important feature. Every prediction is tested causally — each test date only sees older data. Outputs Brier score, accuracy by confidence decile, fill rates, cost-adjusted expectancy, profit factor, and maximum drawdown. You see exactly how reliable the forecasts are.

📅

Day-by-Day Calendar

Projects next 7 trading days with individual OHLC predictions. Each day uses only the specific offset from historical analogs — day 3 forecast looks at what happened on day 3 after each similar setup, not averaged across all days. Includes bullish probability per day.

🔄

RSI Analysis Suite

Detects bullish/bearish divergences with strength scoring. RSI Level Analysis (22-period) tracks every cross of 80/75/25/20 and computes conditional probabilities of hitting the next level vs reversing within 30 days. Shows exactly what happened historically from each RSI zone.

👁

Pattern & Cycle Detection

Identifies 5 reversal patterns with precise ratio calculations. Cycle end prediction uses conditional empirical distribution to calculate probability the current bull/bear run ends within 1/3/5/7 days. Range climax, gap fill, and volume climax integrated into reversal scoring.

🔑

Optimization Engine

Auto-optimizes TP values from $5-50, 4 risk-reward ratios, 10 entry offset percentages, and 4 order types — testing every combination. Selects the single best setup by expected value per unit of risk with minimum 55% win probability and positive expectancy.

Data Integrity Validation

Runs 10+ automated checks before any forecast: D1 index monotonicity, M30 timestamp uniqueness, OHLC geometry, forecast date weekday compliance, incomplete analog outcome blocking. Every output is validated. No garbage-in-garbage-out.

Source Code Preview

Clean, well-structured Python with tkinter GUI, threaded execution, and comprehensive logging. Every function is documented with inline comments.

XAUUSD Forecast Engine Source Code

Technical Specifications

SpecDetail
LanguagePython 3.8+
Lines of Code1,282
Dependenciespandas, numpy, tkinter (built-in with Python)
Input FormatCSV with columns: Timestamp, Open, High, Low, Close, TickVolume, Spread
TimeframeM30 (aggregated to daily internally)
GUItkinter — cross-platform (Windows, macOS, Linux)
ExecutionMulti-threaded — GUI stays responsive during analysis
OutputScrolled text area with color-coded sections, exportable to file
Validation10+ data integrity checks + walk-forward causal audit
LicensePersonal + Commercial use included
Price$50 one-time — no subscription, no royalties

Get the XAUUSD Forecast Engine — $50

Complete 1,282-line Python source code · Free XAUUSD historical dataset · Full documentation · Commercial use included · Email support · One payment, yours forever

Dependencies: Python 3.8+, pandas, numpy (pip install pandas numpy). Runs on Windows, macOS, Linux.

Contact Us to Purchase

After payment, you'll receive the .py file + dataset via email within 24 hours

Frequently Asked Questions

What does the XAUUSD Forecast Engine do?

It reads your XAUUSD M30 CSV data and produces a complete analytical report: Elliott Wave structure with Fibonacci scores, analog pattern matching with confidence intervals, 1-7 day price path projections, RSI divergence and level analysis, M30 TP/SL simulation, and causal walk-forward validation. All in one Python file with a GUI.

Do I need Python experience to use it?

Basic Python knowledge helps — you need to install pandas and numpy (pip install). The GUI runs on tkinter which is built into Python. If you can copy a .py file, pip install two packages, and double-click to run, you can use the engine. No machine learning expertise required.

What's included in the $50 purchase?

The complete 1,282-line xauusd_forecast_engine.py source code, full inline documentation, the free XAUUSD M30 dataset (100,000+ bars), commercial use license, and email support. One-time payment. No subscription. No royalties. You own the code — modify, integrate, or resell as part of your own tools.

How accurate is the gold price prediction?

The engine reports its own accuracy through walk-forward auditing. It tests every prediction causally (only data available at prediction time). Outputs include Brier scores, accuracy by confidence decile, cost-adjusted expectancy, profit factor, and maximum drawdown. Nothing is cherry-picked — you see the real, verifiable accuracy before risking any capital.

Can I use this for other pairs besides XAUUSD?

Yes. The engine reads any M30 OHLC CSV matching the format (Timestamp, Open, High, Low, Close, TickVolume, Spread). You can point it at EURUSD, GBPUSD, or any other pair's data and it will produce the same analysis. The algorithms are pair-agnostic. For maximum reliability, use at least 1-2 years of data. Get your data using our free MT5 export scripts.

Ready to Level Up Your Gold Analysis?

The Forecast Engine gives you institutional-grade gold analysis in a single Python file — Elliott Wave, analog matching, walk-forward validation, and M30-precise trade simulation. No black boxes. No subscriptions. Just clean, verifiable code that you own.

Buy Forecast Engine — $50 Free Dataset & Scripts All Historical Data
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