Signal to Noise Ratio The Signal to Noise Ratio or SNR is used to assess the quality of information or data by comparing the strength of a useful signal to the presence of background noise or random variations. In Finance the SNR refers to the ratio of strength of a trading signal to the background noise. A high SNR suggest a clear and reliable signal, meanwhile...
Adaptive ATR Channels are adaptive Keltner channels. ATR is calculated using a rolling signal-to-noise ratio making this indicator flex more to changes in price volatility than the fixed Keltner Channels. What is Average True Range (ATR)? The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in...
Level: 2 Background John F. Ehlers introuced another Enhanced Signal to Noise Indicator in his "Rocket Science for Traders" chapter 8. Function blackcat L2 Ehlers Signal to Noise Indicator is used to measure Signal-to-Noise Ratio (SNR). In this code, the period of the measured dominant cycle is calculated in exactly the same manner as we calculated it for...
Level: 2 Background John F. Ehlers introuced Signal to Noise Indicator in his "Rocket Science for Traders" chapter 8. Dr. Ehlers terms the case where half the average daily trading range is equal to the signal amplitude as our zero decibel Signal-to-Noise Ratio (0 dB SNR) condition. He wants the signal amplitude to be at least twice the noise amplitude (6dB...