Intelligent Moving Bot

? Intelligent Moving Bot — Adaptive EA with Neural Optimization

Intelligent Moving Bot is a fully autonomous EA built on the Intelligent Moving indicator. It uses a dynamic MA, ATR-based deviation bands, and virtual trades with a perceptron to optimize parameters on the fly — with no repainting and no manual curve-fitting.

? Signals & Trend

• Buy: after closes below the lower band, price closes back above it.
• Sell: after closes above the upper band, price closes back below it.
• Trend zones: all three bands recolor based on price vs MA (clear up/down phases).

? Neural Learning (Virtual Trades + Perceptron)

At each training interval the EA:

• simulates virtual positions based on its signals,
• tests parameter grids (MA period, ATR multipliers),
• evaluates virtual PnL over a history window, and
• applies the best-performing set until the next retrain.

The process runs forward-only and does not repaint.

⚙️ BOT SETTINGS

=== POSITIONS ===

• Positions Start/Finish Trading Hours/Minutes — trading window.
• Positions Volume — fixed lot size.
• Positions Stop-Loss ATRs / Take-Profit ATRs — SL/TP in ATR units.
• Positions Magic Number — unique Magic.
• Positions Comment — trade comment.
• Positions Close By IM Indicator — exit policy by IM:
• No Close;
• Close By Middle Line (exit at MA);
• Close By Contra Line (exit at opposite outer band);
• Close By Contra Signal (exit on opposite signal).
• Positions Open Contra While Current Is Not Closed — allow/deny opening a counter trade while the current one is still open (hedging logic).
• Positions Skip Next Same Direction After Loss — skip next same-direction entry:
• No Skip;
• Skip After Loss;
• Skip After Stop-Loss.

=== STOP-KRAN (Emergency Cut) ===

• Stop-Kran Max Drawdown -$ — absolute drawdown cap (open+closed) in money to trigger emergency close.
• Stop-Kran Start Date — start date for closed-trade DD accounting.

=== TESTER === (custom fitness for MetaTester)

• Tester Interval Months — split equity into monthly buckets for robustness analysis.
• Tester Drawdown Exponent — drawdown penalty exponent (strengthens DD impact in fitness).

⚙️ INDICATOR SETTINGS

=== RATES HISTORY CALCULATIONS ===

• Calculate History From Bar Shift / DateTime — starting point for historical calculations.

=== NEUROLEARNING PERIODS ===

• Neurolearning Periods Type — Periods By Base / Periods By Last.
• Neurolearning Periods Base / Step / Passes — base MA period, step, passes.

=== NEUROLEARNING DEVIATIONS ===

• Neurolearning Deviations Type — Deviations By Base / Deviations By Last.
• Neurolearning Deviations Base / Step / Passes — base ATR multiplier, step, passes.

Note: product logic uses ATR-based bands (MA ± ATR × coefficient).

=== NEUROLEARNING RATES ===

• Neurolearning Rates Depth (bars) — training window length.
• Neurolearning Rates Interval (bars) — retraining frequency.
• Neurolearning Rates Spread (pips) — virtual spread for realistic simulation.

=== NOTIFICATIONS ===

• Send Alert Notifications — standard alerts.
• Send Push Notifications — push.
• Send E-Mail Notifications — email.

✅ Advantages

• Fully autonomous + explicit control via parameters.
• Exit policies tightly integrated with IM signals (four exit modes).
• Hedging option (counter entries) and anti-overtrading rule after losses.
• Emergency stop by absolute drawdown.
• Custom robustness fitness (intervals + DD penalty) for optimization.

? Best Use Cases

• Intraday trading on M15–H1 (Forex majors, Gold).
• Swing trading on H4–D1 (indices, crosses).
• As part of a multi-strategy portfolio.