OPEN-SOURCE SCRIPT
2B detector beta

Identifying a trend reversal is practically tricky, given that price movement is somewhat unpredictable and mostly obeys a power law. In which the price difference is primarily out of normal distribution. According to Benoit Mandelbrot, the price distribution follows an alpha-stable distribution with α equal to 1.7.
Real data observation suggests that stock prices do not follow the Random Walk Hypothesis or Brownian motion. Instead, they follow a fractal pattern. Fractals exhibit similar patterns at different scales called self-similarity. Using this character, one can develop fractal patterns to identify local highs and local lows.
This indicator identifies the reversal signal so-called 2B base on the following logic:
1. Identify local highs and local lows with fractals
2. Define relative positions of those local highs and lows (ABC and 2B)
3. Define the local range of ABC and B
Disclaimer: This indicator is only for research purposes. Please do not take it as investing or trading advice.
Real data observation suggests that stock prices do not follow the Random Walk Hypothesis or Brownian motion. Instead, they follow a fractal pattern. Fractals exhibit similar patterns at different scales called self-similarity. Using this character, one can develop fractal patterns to identify local highs and local lows.
This indicator identifies the reversal signal so-called 2B base on the following logic:
1. Identify local highs and local lows with fractals
2. Define relative positions of those local highs and lows (ABC and 2B)
3. Define the local range of ABC and B
Disclaimer: This indicator is only for research purposes. Please do not take it as investing or trading advice.
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開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。