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Minerva AI (EN)
  • πŸ‘‹Welcome to Minerva AI
  • STUDIES & FINDINGS
    • ☝️Abstract
    • πŸ“Introduction and related works
    • πŸ’‘Model overview
      • ♾️Convolutional neural network - CNN
      • ✍️Dropout techniques
      • 🧠Long short-term memory (LSTM)
      • πŸ™†Methodology
      • πŸ”—Data collection and merging
      • πŸ› οΈModel architecture
      • βž•Dataset and Parameter Optimization
      • πŸ‘ŒResults and discussion
      • βš“Trading Philosophy & Method
      • βž—Basic algorithm
      • 🌠Results
    • πŸ‘‰Conclusion
  • PRODUCT DEVELOPMENT
    • πŸ‘€Vision and development roadmap
    • 🌟Revenue models
    • πŸͺ™Tokenomics
  • TEAM
    • πŸ‘₯Founding team
  • RESOURCES
    • πŸ“—References
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  1. STUDIES & FINDINGS
  2. Model overview

Results and discussion

The model's performance is evaluated based on the profits generated by the model. Take Profit/Stop Loss (TP/SL) levels are also determined based on trading philosophy, which is a common practice among traders. The Stop Loss is set at the average move in the opposite direction as a percentage of our executed trade. The Stop Loss represents the lowest point within the day to open when the model suggests a buy trade, and the highest point within the day to open when a sell trade is proposed. The Stop Loss is used to protect capital from any worst-case scenarios that the model may not anticipate.

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Last updated 1 year ago

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