Crypto Punk [Bot]

Crypto Punk


Fully Backtested Algorithm
Crypto Punk is a fully backtested algorithm with a transparent backtest. The user can easily see how the algorithm has performed and which settings have been most profitable.




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Disclaimer

Copyright by Zeiierman.

The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.

All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.

My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!

Release Notes:

Improvements!

• Clarifications within the setting panel.
  

Release Notes:

Improvements!

• Allow Trading on Specific Days Added.
  

Release Notes:

• Performance Improvements
  
• Redesigned Settings Panel
  

Release Notes:

AI filter added

• Traders can now use external indicators, such as moving averages, supertrend, RSI, volume, etc., to filter out signals.
  

Important! The external filter uses AI to determine the likelihood of a bullish or bearish move. Therefore, despite having a filter set, signals can still trigger if the algorithm deems it a good opportunity. However, the AI filter is not active during trends.

Release Notes:

AI Adaptability Added

• AI Adaptability determines the flexibility level of the AI algorithm when using the external AI filter. Setting it to 10 results in no adaptability, whereas a higher value permits increased adaptability. A higher adaptability value enables the algorithm to 'think outside the box,' even with an external filter applied.