Mladen Rakic / Profile

This version of Normalized RSI is adding JMA smoothing to it in order to make that volatility lesser and to attempt to make the slope of the RSI more usable without adding significant lag.

Normalized RSI tries to fix the "RSI problem": the longer the calculating period, the flatter the RSI becomes.

Compared to the Price Zone Oscillator indicator, this version is using floating levels to find out the significant levels.

The formula for Price Zone Oscillator (PZO) depends on only one condition: if today's closing price is higher than yesterday's closing price, then the closing price will have a positive value (bullish); otherwise it will have a negative value (bearish).

The Henderson Filters are derived by minimizing the sum of squares of the third difference of the moving average series. Henderson's criteria ensures that when these filters are applied to third degree polynomials, the resulting smoothed output will fit exactly on these parabolas. The Henderson Filters are suitable for smoothing economic time series as they allow the cycles typical of the trend to pass through unchanged. They also have the property that they will eliminate almost all the irregular variations that are of very short frequencies of six months or less.

Multi T3 Slopes indicator checks slopes of 5 (different period) T3 Moving Averages and adds them up to show overall trend.

Multi JMA Slopes indicator checks slopes of 5 (different period) Jurik Moving Averages (JMA) and adds them up to show overall trend.

Multi Averages Slopes indicator that checks slopes of 5 (different period) averages and adds them up to show overall trend. Averages that can be used in this indicator are the: SMA, EMA, SMMA, LWMA.

Multi LSMA Slopes indicator checks slopes of 5 (different period) Least Squares Moving Averages (LSMA or linear regression value) and adds them up to show overall trend.

Smoothed version of Synthetic VIX.

Compared to the Choppiness Index indicator, this version is using JMA for smoothing (to make it easier to spot the slope direction change of the choppiness index) and to make the values less volatile.

Choppiness Index: another way of calculating fractal dimension.

In order to avoid the too many signals that the regular Random Walk Index tends to produce, this version is using JMA for smoothing which significantly lessens the number of false signals.

The Random Walk Index attempts to determine when the market is in a strong uptrend or downtrend by measuring price ranges over N and how it differs from what would be expected by a random walk (randomly going up or down). The greater the range suggests a stronger trend. The RWI states that the shortest distance between two points is a straight line and the further prices stray from a straight line, implies the market is choppy and random in nature.

Compared to the original QQE indicator, this version instead of using trailing levels uses fixed levels to estimate overbought and oversold conditions. This version is also using RSX (a smoother RSI without a lag) in order to further purify the signals.

Compared to the original QQE indicator this version is adding fixed levels (to help further estimate the trend) and color changing histogram (based on those levels), and also using RSX (a smoother RSI without a lag) in order to further purify the signals.

This version of QQE is also using RSX (a smoother RSI without a lag) in order to further purify the signals.

Compared to the original QQE indicator, this version is adding fixed levels (to help further estimate the trend) and color changing histogram (based on those levels).

Compared to the original QQE indicator, this version instead of using trailing levels uses fixed levels to estimate overbought and oversold conditions.

Compared to the Volume Zone Oscillator indicator, this version is additionally using floating levels to determine the trend.