Gilded

Approach

Gilded employees 18 strategies designed for assets with stable growth and price deviations within defined ranges. They are combined into 2 parallel trading systems based on trading direction. The first system groups strategies for long and short trading, applying asymmetric rules, focusing on the direction that currently offers greater advantages, while applying stricter conditions when a trade is less favorable. The second system groups long-only strategies, following the global trend driven by the asset's nature and its macroeconomic significance, providing a clear benefit during upward movements and significantly enhancing the safety and efficiency of gold trading.

In addition to the strategies, Gilded includes another essential component — the filter, a proprietary system featuring a confidential algorithm. All we can disclose is that the filter integrates evaluations of market conditions, forecasts, expectations, and fundamental indicators defined by professional traders and developers. The temporal dynamics of these factors are continuously evolving and represent a separate subject of analysis. The filter model is pre-trained on this data and functions as a highly precise analytical system. ChatGPT and other computational or AI methods are employed to systematically collect, organize, and preprocess the data, ensuring objectivity and impartiality.

Trading process

Gilded operates on a structured architecture that combines multi-level analysis, parallel processing, and risk-aware decision-making. Its functionality can be divided into five main components:

1. Market Analysis: The market is analyzed using multiple layers of logic. Trends are identified across several timeframes, overbought and oversold conditions are determined, and the values ​​​​of primary indicators are calculated. The data undergoes parallel processing, resulting in an independent output in the form of a preliminary signal: market inefficiency anticipation, trade entry, trade exit, or trade management.
2. Trade Coordination: Preliminary signals are sent to a trade handler, which integrates all methods to ensure their seamless operation without conflicts, in strict accordance with the program's configuration and risk management rules.
3. Signal Filtering: Each approved signal is verified through a filter that coordinates with AI simulations under human control. The filter takes into account fundamental data, banking and community forecasts of future price changes, global areas of interest, and other publicly available information, applying mathematical analysis to generate the most practically applicable price predictions.
4. Position Management: All positions are monitored and managed independently. With each new quote, the algorithms continuously track market changes and execute the necessary actions to maximize the potential of every market movement.
5. Statistical Oversight: The system automatically collects data on trading activity, applies statistical analysis to historical trades, and uses the resulting conclusions to guide future decisions. This provides the Expert Advisor with an objective assessment of its performance and enables it to adjust strategies to enhance the effectiveness of the trading methods described above.