Patrik BTC Exponential Model v.2

A MULTI-ANCHOR EULER'S EXPONENTIAL REGRESSION MODEL v2.0

Implements Euler's exponential growth model: BTC(t) = a × e^(r × t)
Based on Euler's number (e ≈ 2.71828) for natural exponential growth
- a = Initial coefficient (y-intercept in log space)
- r = Growth rate (slope in log space)
- t = Years since anchor date

FEATURES:
- Exponential regression line with ±2 SD bands
- R-squared for model fit assessment
- Log/linear regression modes
- Real-time deviation tracking
- Customizable anchor date
- BUY/SELL SIGNALS: Background zones & bar colors
- Green = Buy (below trend), Red = Sell (above trend)
- Darker colors = Stronger signals (±2 SD)

IMPORTANT CAVEATS:
⚠️ ANCHOR BIAS: Selecting "best fit" dates introduces look-ahead bias
⚠️ NOT PREDICTIVE: High R² shows historical fit, not future reliability
⚠️ For analysis only - NOT investment advice

TIPS:
- Use log scale (right-click price axis → "Logarithmic")
- ±2σ bands ≈ 95% confidence assuming normal distribution
- Signals: Strong Buy <-2σ | Buy <-1σ | Neutral | Sell >+1σ | Strong Sell >+2σ
- Note @GallantCryptoYT has a much more sophisticated exit / entry
CREDITS:
 @GallantCryptoYT (Patreon: Gallant Crypto)