Fisher Transform Indicator by Ehlers Backtest — Strategy by HPotter
By HPotter
Performance Metrics
- Author: HPotter
- Symbol: CME_MINI:ES1!
- Timeframe: 1 day
- Net P&L: +98,812.50 USD (0.00%)
- Win Rate: 62.6%
- Profit Factor: 1.232
- Max Drawdown: 33,175.00 USD
- Total Trades: 934
Description
Market prices do not have a Gaussian probability density function as many traders think. Their probability curve is not bell-shaped. But trader can create a nearly Gaussian PDF for prices by normalizing them or creating a normalized indicator such as the relative strength index and applying the Fisher transform. Such a transformed output creates the peak swings as relatively rare events. Fisher transform formula is: y = 0.5 * ln ((1+x)/(1-x)) The sharp turning points of these peak swings clearly and unambiguously identify price reversals in a timely manner. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.