Comments for https://ctrader.com/products/3779

Hi Matilda, the demo version has just been updated and sent to cTrader support; it will be online soon.

Hi, The short answer is that WallsPro intentionally avoids traditional, rigid "automated optimization" (like running 10,000 backtest passes in cTrader), because that approach usually leads to "curve-fitting"—where a bot looks perfect on past data but fails in live markets.

Instead, the strategy relies on a hybrid approach: Real-Time Dynamic Adaptation (handled by the bot) combined with Manual Risk Profiling (handled by you).

Here is exactly how the optimization is structured:

🧠 1. Dynamic, Real-Time "Automated" Adaptation
Instead of relying on fixed, historically optimized parameters (like a hard-coded 20-pip stop loss), WallsPro optimizes its trading decisions live, every 30 seconds, based on fresh market data:

Volatility-Adapted Entries: Wall proximity and entry zones automatically adjust to current volatility using ATR. It uses tighter entries on calm days and widens the range during highly volatile sessions.

Regime-Based Logic: The RSI filter features an Adaptive Mode that automatically switches its core logic based on the live market regime (using counter-trend logic in ranging markets and confirmation logic in trending markets).

Dynamic Targets: It uses live Gamma exposure as a dynamic Take Profit target, adjusting to institutional positioning rather than statically optimized pips.

⚙️ 2. Manual Risk & Management Optimization
While the bot handles the market analysis automatically, the execution and money management are manually optimized by you to fit your exact trading style or prop firm rules:

The 14 Protection Layers: You manually tune your safety net, including daily/total drawdown limits, spread filters, and max trades per day.

Professional Position Sizing: You optimize your risk (e.g., exactly 1% per trade), and the bot dynamically calculates the correct lot size based on your stop-loss distance.

Trade Management: You set up your ideal partial close targets (e.g., closing 50% at TP1) and Basket Management thresholds.
For the exact details on the limitations of each specific bot, we're waiting for you on our Discord channel: https://discord.gg/B7VVH9Cq57