IV. Editable Parameters & Interpretation

The AL/AI Agent Ranger Reversor v1 is highly modular and was designed to give you full control over its behavior — without needing to code.

Each input represents a lever of control over how the agent reads the market, reacts to signals, and manages open positions. While the default configuration is battle-tested, advanced users can fine-tune it to fit their risk appetite and strategy style.

🎯 Trailing Logic

• trailLevel – Trailing Target %

Defines how far above or below the current price the trailing stop will sit. Higher values = more space for trend to grow before locking profit. Lower values = tighter profit capture.

💡 Useful for adjusting aggressiveness in volatile markets.

• trailPoints – Trailing Activation Threshold

Determines how much price must move in your favor before the trailing begins. This acts like a buffer — giving space for the trade to “breathe.”

📐 Range Filter Smoothing

• per – Filter Smoothing Period

The number of candles used to detect range behavior. Shorter periods = more reactive filter. Longer periods = smoother, more stable signals.

• mult – Filter Sensitivity Multiplier

Controls how “wide” or “tight” the range band is. Affects how fast the bot reacts to breakouts.

📏 Trend Filter Option

• RestrictToEMA200 – Enable/Disable Long-Term Filter

When enabled:

• Longs are only taken when price is above the EMA200

• Shorts only below

Helps filter signals in strong trending conditions.

⏱️ Time-Based Controls

• maxBarsOpen – Maximum Bars in Trade

Defines how long (in bars) the bot can hold a position. Once this is exceeded, the agent force-closes the trade.

⚠️ Prevents trades from stalling or going stale during sideways conditions.

• minProfitTarget – Minimum Profit %

If the trade reaches this profit, it’s closed automatically — even if the trailing or time limits aren’t hit. A useful layer for conservative profit-taking.

🧪 Backtest Range

• startdate & enddate

Let you define the exact range of candles for testing and simulation. This ensures clarity when running clean backtests, avoiding historical noise or data overlap.

🎨 Visual Settings

While most visuals are optimized by default, you can tweak:

• Line thickness of bands and filter base

• Colors of the channel:

  • Green for upper band (profit zone)

  • Red for lower band (risk zone)

  • White for base filter

  • Yellow for EMA200

• Opacity of shaded zones for visual clarity

  

🧠 All visuals are designed to be minimal, elegant, and informative — just like a trading cockpit.

📌 Default Configuration Snapshot

⚠️ If you're not an advanced user, we recommend keeping these values as-is. The agent was optimized for ETH/USDT on the 45M timeframe.

⚙️ Strategy Simulation Settings (Properties Tab)

The following options affect how the bot behaves inside TradingView’s strategy tester:

• Initial Capital

• Default: $100

• Set this to simulate portfolio size. It does not affect strategy logic.

• Order Size

• Default: $100

• Determines how much virtual capital the agent uses per trade.

• Commission

• Default: 0.045%

• Reflects the trading fee used by most centralized exchanges like OKX, Binance, or Bybit.

• Slippage

• Default: 3 ticks

• Introduces execution friction to reflect real-world conditions.

  

🔁 Execution Logic (Fill Settings)

• Recalculation

• After order is filled: ❌ Off

• On every tick: ❌ Off

• Designed for consistency — not micro noise.

• Fill Orders

• ✅ On bar close: enabled

• ❌ Using bar magnifier: disabled

• ❌ Using standard OHLC: disabled

📌 We recommend keeping these defaults unless you are testing an ultra-high-frequency variation.