Hi @Donnie Azoff , Thanks for posting your questions.
You are not dense, you are asking the right questions and I am here to answer them for you. Unlike traditional black-box systems that either hard-code their SL/TP logic or bury it deep in proprietary models, Galileo FX works differently. It pushes the decision-making into your hands, but in a way that’s far more curated than it seems.
The entry logic is based on our proprietary trend reversal algorithms, but you have the control over its sensitivity via Consecutive Bullish / Bearish Signals , for example, If you set Consecutive Bullish Signal to 3 it means that after 3 consecutive Bullish Signals it will take one Bearish trade and vice versa for Bullish trade.
Setting Lot Size = 0 activates Auto Lot Mode. The bot then calculates position size proportionally to your account balance. It does not dynamically adjust SL/TP based on volatility like an ATR filter, but it does scale exposure. That’s the closest it comes to "automatic" sizing relative to your risk.
You're absolutely right to raise these concerns—many bots on the market do rely on grid strategies, martingale logic, or opaque models that make it nearly impossible to assess risk. Fortunately, Galileo FX does not fall into that category.
- No Grid, No Martingale
Galileo FX does not implement any grid-based strategy and absolutely does not use exponential lot sizing or martingale logic. You will never see the bot double down on losses or increase exposure as a form of recovery. Instead, it offers manual control over the number of trades through a Max Orders setting, allowing you to specify a fixed number of positions per chart or symbol. Each trade is executed based on independent signal criteria, not cumulative loss recovery. - Fixed Lot Sizes & Full Control
Users define the exact lot size per trade—there’s no hidden multiplier logic. You choose the amount, and the bot executes that size consistently unless you activate Auto Lot mode (by setting Lot Size = 0), which scales the position size relative to your account balance. Even then, it’s linear, not exponential. - Defined, Transparent Strategy Logic
Galileo FX is built on a proprietary trend-reversal model based on technical indicators. While the full algorithm isn't publicly disclosed for IP reasons, the core logic centers around a specific number of consecutive bullish or bearish signals. These parameters are fully visible and customizable by the user. - Stop Loss and Take Profit = Your Control
Because the bot doesn’t hide risk parameters, users set their own Stop Loss and Take Profit levels. If you're unsure how to align them with the underlying strategy, the best approach is to test several .set files provided on the Performance Page, which include SL/TP presets based on historical performance. You can refine these in demo mode first, and adjust to suit your risk tolerance and market conditions. - No Machine Learning or Black Box Weights
Galileo FX does not use any machine learning model like LSTM or neural nets. There are no “model weights,” and thus no risk of performance degrading due to outdated ML training. The system is rules-based, not AI-driven. This means its behavior is deterministic and reproducible. While this may seem limiting compared to adaptive systems, it also means you won’t be trading on a model you can’t verify or interpret.
In short, Galileo FX is intentionally built without complexity that would mask risk. It's customizable, disciplined, and transparent—designed for those who care about having control over their strategy, not outsourcing it blindly.
Hope this helps clarify things.
