Gold Mining Machine
- エキスパート
- Vishal Agarwal
- バージョン: 1.0
- アクティベーション: 5
Delving deep into the sphere of finance and trading strategies, I decided to conduct a series of experiments, exploring approaches based on reinforcement learning as well as those operating without it. Applying these methods, I managed to formulate a nuanced conclusion, pivotal for understanding the significance of unique strategies in contemporary trading. Neural network advisors, despite showcasing impressive efficiency in the initial stages, proved to be highly unstable in the long run. Various factors, such as market volatility, trend changes, and external events, introduced chaos into their operation, ultimately leading to instability. Armed with this experience, I embraced the challenge and began developing my own approach. My focus was centered on creating an advisor that would utilize the best indicators gathered together but with different parameter settings. This advisor, grounded in my unique strategy and simultaneously employing 14 indicators with varying parameter settings, emerged from hours of data analysis and meticulous testing.
