> For the complete documentation index, see [llms.txt](https://docs.tradefi.bot/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tradefi.bot/whitepaper/ai-trading-agents-bots/al-ai-agent-ranger-reversor-v1-or-tradefi.bot-eth-usdt-45m/iv.-editable-parameters-and-interpretation.md). # 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 | Parameter | Default | | ------------------ | ---------- | | `trailLevel` | 0.6% | | `trailPoints` | 0.3% | | `per` | 30 candles | | `mult` | 1.8 | | `RestrictToEMA200` | false | | `maxBarsOpen` | 25 bars | | `minProfitTarget` | 0.3% | > ⚠️ 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.
*** --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.tradefi.bot/whitepaper/ai-trading-agents-bots/al-ai-agent-ranger-reversor-v1-or-tradefi.bot-eth-usdt-45m/iv.-editable-parameters-and-interpretation.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.