Let Gann Quant

Let Gann Quant

Let Gann Quant is a fully automated Expert Advisor for XAUUSD that combines W.D. Gann's trend-following principles with modern machine learning pattern recognition. The EA applies Gann-based directional analysis on the daily timeframe to determine the prevailing trend, then uses a quantitative pattern engine trained on over 3.5 million bars of historical data to time entries with precision. No manual analysis or additional indicators required. Attach to any XAUUSD chart and it handles everything internally.

Gann Trend Analysis

W.D. Gann's core philosophy was simple: trade with the trend, never against it. Let Gann Quant applies this principle systematically using the Gann HiLo Activator on the D1 timeframe. The Gann HiLo Activator is a classic Gann tool that identifies trend direction by comparing closing prices against smoothed high and low channels. When price closes above the upper channel, the trend is bullish. When price closes below the lower channel, the trend is bearish. The EA reads this signal every day and enforces strict directional discipline: buy signals are only accepted during bullish trends, sell signals only during bearish trends. If the daily trend is unclear or transitioning between states, the EA stays completely flat and waits for a definitive signal. This Gann-based trend filter is the foundation of the entire system and the primary reason for its low drawdown.

Machine Learning Pattern Engine

Within the Gann-confirmed trend direction, the EA operates a quantitative pattern recognition engine on the M15 timeframe. Every 15 minutes, it extracts a feature vector from recent price momentum and compares it against a curated database of historically profitable patterns. Each pattern in the database has survived a multi-stage filtering pipeline: forward profit simulation, duplicate removal, historical stress testing, minimum win rate threshold, positive expected value verification, and cross-year consistency validation. Patterns that fail any stage are permanently discarded. The result is a compact, high-confidence pattern library that the EA references in real time.

Two-Layer Architecture

The combination of Gann trend analysis and machine learning creates a two-layer system where each layer serves a distinct purpose. The Gann HiLo filter on D1 answers the question "which direction should we trade?" while the pattern engine on M15 answers "is now a good time to enter?" Both layers must agree before any trade is placed. This architecture is inspired by Gann's emphasis on confirming signals across multiple timeframes before committing capital.

Trade Frequency

This EA trades selectively by design. Expect roughly 3 to 5 trades per week during trending conditions when the Gann D1 filter shows a clear direction. Some weeks may have fewer or none when the daily trend is transitioning between bullish and bearish states. Hold times range from several hours to several days. When the EA appears idle, it is either waiting for the Gann filter to confirm a new trend or scanning for pattern matches within the confirmed trend.

Virtual SL/TP

Exit levels are managed through chart lines, not sent to the broker. Your broker sees only a wide safety stop loss for disconnection protection. Red line is your virtual stop loss, green line is take profit, blue line is breakeven. All lines restore automatically after restart.

Breakeven

When a trade reaches a predefined floating profit threshold, the EA activates breakeven protection by moving the virtual stop loss to the entry price plus a small lock amount. From that point the trade cannot produce a loss. This activation status is stored persistently and survives terminal restarts.

Manual Control

One-click Close Buy, Close Sell and Close All buttons on the chart, each with confirmation dialog. You can also close positions directly through MT5 — the EA cleans up automatically. Change any input while trades are open without triggering unwanted closes.

Risk Information

Recommended lot size: 0.01 per $500 account balance. At this sizing with Gold around $3,000, approximate risk per trade is less than 3% of account equity. The virtual stop loss is set at 0.9% from entry and take profit at 2.0%, giving a reward-to-risk ratio above 2:1. The Gann trend filter ensures the EA only trades in the direction of the daily momentum, which historically reduces the frequency of stop loss events. For lower risk, reduce lot size or increase the Balance Per Order parameter.

Backtesting

Backtest results are not real trading results. They are computed under ideal conditions without slippage, requotes or spread variation. We use backtesting internally for development and optimization only.

Inputs

Lot Size (default 0.01), Balance Per Order (default $500), Magic Number (default 12533231), AI Voice Alert (default on). All Gann filter and pattern engine parameters are internally optimized and do not require adjustment.

Requirements

• Symbol: XAUUSD or GOLD, any broker suffix, auto-detected.
• Timeframe: Any. The EA manages D1 and M15 timeframes internally.
• Account: Hedge or Netting.
• Minimum deposit: $300 at 0.01 lot.
• Leverage: 1:100 or higher.
• VPS recommended for 24/5 operation.

Trading involves substantial risk. Past performance and backtest results do not indicate future results. Trade only with capital you can afford to lose.