Follow LineFollow Line is a common MT4 FX indicator based on trend following.
The main idea behind the calculation is volatility:
-Indicator Line increases as price goes above Bollinger Bands but with 1 standard deviation.
-Likewise when price moves below the lower Bollinger Band with 1 Standard deviation, Follow -Line decreases down.
-As you can imagine, indicator stays as a flat line when price moves between the bands.
There are two critical settings about the indicator:
1- Bollinger Bands Deviation is set to 1 as default but if you want to have early signals you have to decrease that amount. Also you'd better increase that to have flat values on sideways market conditions for not getting chopped by the early but false signals.
2- ATR Filter is activated in default settings and the indicator follows the trend with a distance from Highs and Lows considering ATR (default length 5) values. If you turn off the ATR filter, the indicator line only takes into account the Highs and the Lows. Indicator will get more agile but the risk of choppy signals can be taken that time. I personally advise you to increase the Bollinger Band Deviation from 1 to between 1.5-2 to stabilize the fake signals when ATR filter is turned off.
Signals can be shown on the graph:
BUY: when Follow Line changes direction from red to blue.(which means Price is above Bollinger Upper Band with 1 standard deviation)
SELL: when Follow Line changes direction from blue to red. (which means Price moves below Bollinger Lower Band with 1 standard deviation)
Finally, some of you may know there are also several Follow Line indicators on TradingView but unfortunately they don't show the same exact values (close but not same) comparing with original version of MT4 and the Metastock version that I've coded recently. So, I shared this stuff to have the exact same values on graphs on all platforms.
Kivancozbilgic
Twin Range Filter VisualizedVisulaized version of @colinmck's Twin Range Filter version on TradingView.
On @colinmck's Twin Range Filter version, you can only see Long and Short signals on the chart.
But in this version of TRF, users can visually see the BUY and SELL signals on the chart with an added line of TRF.
TRF is an average of two smoothed Exponential Moving Averages, fast one has 27 bars of length and the slow one has 55 bars.
The purpose is to obtain two ranges that price fluctuates between (upper and lower range) and have LONG AND SHORT SIGNALS when close price crosses above the upper range and conversely crosses below lower range.
I personally combine the upper and lower ranges on one line to see the long and short signals with my own eyes so,
-BUY when price is higher or equal to the upper range level and the indicator line turns to draw the lower range to follow the price just under the bars as a trailing stop loss indicator like SuperTrend.
-SELL when price is lower or equal to the lower range levelline under the bars and then the indicator line turns to draw the upper range to follow the price just over the bars in that same trailing stop loss logic.
There are also two coefficients that adjusts the trailing line distance levels from the price multiplying the effect of the faster and slower moving averages.
The default values of the multipliers:
Fast range multiplier of Fast Moving Average(27): 1.6
Slow range multiplier of fSlow Moving Average(55): 2
Remember that if you enlarge these multipliers you will enlarge the ranges and have less but lagging signals. Conversely, decreasing the multipliers will have small ranges (line will get closer to the price and more signals will occur)
Bollinger OTT SpreadBollinger OTT Spread (BOOTS) is a development combining Bollinger Bands with Optimized Trend Tracker (OTT) Indicator by Anıl Özekşi.
Bollinger Bands have originally 3 lines: Simple Moving Average (Middle Line), Upper Band and Lower Band.
BOOTS concentrates on the upper and lower Bollinger band lines.
First, it calculates the OTT using the UPPER and LOWER Bollinger Bands in a period of time (default lengths are 2) instead of closing prices.
After that, Upper and lower bands have more constant values.
There are 2 lines in BOOTS:
-The top (cyan) line is originally an OTT of the Upper Bollinger Band. (BOOTShigh)
-The bottom line (purple) is also an OTT line but conversely uses Lower Bollinger Band in the same period. (BOOTSlow)
Default values:
Bollinger Bands Moving AveragePeriod: 2 Bars
OTT Length: 2 Bars
OTT Optimizing coefficient (percent): %10
Bollinger Bands Standart Deviation Multiplier: 2 (not adjustable)
These values are designed for daily time frame, so they have to be optimized in other timeframes by the user. (Ex: Higher values can be considered in lower time frames)
Originally, Bollinger Bands used a Simple Moving Average in their calculation, but this time, Anıl Özekşi prefers VIDYA (Variable Dynamic Moving Average = VAR) instead of a Simple Moving Average.
Bollinger Bands cannot create significant BUY & SELL signals considering their original logic, but the primary purpose of BOOTS is to have substantial trading signals:
BUY when the price crosses above the BOOTSLower line (purple line)
STOP when the price crosses back below the BOOTSLower line (purple line)
SELL when the price crosses below the BOOTSUpper line (cyan line)
STOP when the price crosses back above the BOOTSUpper line (cyan line)
The price zone between the two lines is the flat zone; traders don't consider taking new positions in that area between the two lines.
Developer Anıl Özekşi advises that traders may have more accurate signals when using a short-period moving average instead of closing prices. So, I added a moving average with the same default length of 2 , which was used in Bollinger Bands calculation. You can check the "SHOW MOVING AVERAGE?" box on the settings tab of the indicator.
MOST + Moving Average ScreenerScreener version of Anıl Özekşi's Moving Stop Loss (MOST) Indicator:
USERS MAY SCREEN MOST WITH 11 DIFFERENT TYPES OF MOVING AVERAGES + THEY CAN ALSO SCREEN SIGNALS WITH THAT 11 MOVING AVERAGES INSTEAD OF USING MOST LINE.
Adjustable Moving Average Types:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
About Screener Panel:
Users can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
-In this screener version of MOST, users can define the number of demanded tickers (symbols) from 1 to 20 by checking the relevant boxes on the settings tab.
-All selected tickers can be screened in different timeframes.
-Also, different timeframes of the same Ticker can be screened.
IMPORTANT NOTICE:
Screener shows the results in 3 different logic:
1st LOGIC (Default Settings):
BUY AND SELL SIGNALS of MOST and MOVING AVERAGE LINE
Most Buy Signal: Moving Average Crosses ABOVE the MOST LINE
Most Sel Signal: Moving Average Crosses BELOW the MOST LINE
Tickers seen in green are the ones that are in an uptrend, according to MOST.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after MOST's last BUY or SELL signal.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
2nd LOGIC (Moving Average & Price Flips Screener Mode):
This mode can only be activated by checking the 'Activate Moving Average Screening Mode' box on the settings menu.
MOST line will be disappeared after checking the box.
Buy Signal: When the Selected Price crosses ABOVE the selected Moving Average.
Sell Signal: When the Selected Price crosses BELOW the selected Moving Average.
Tickers seen in green are the ones that are in an uptrend, according to Moving Average & Price Flips.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after the last BUY or SELL signal of Moving Average & Price Flips.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
3rd LOGIC (Moving Average Color Change Screener Mode):
Both 'Activate Moving Average Screening Mode' and 'Activate Moving Average Color Change Screening Mode' boxes must be checked in the settings tab.
Moving Average Line will turn out into two colors.
Green color means the moving average value is greater than the previous bar's value.
Red color means the moving average value is smaller than the previous bar's value.
Buy Signal: After the Selected Moving Average turns GREEN from red.
Sell Signal: After the Selected Moving Average turns RED from green.
-Screener shows the information about the color changes of the selected Moving Average with default settings.
If this option is preferred, users are advised to enlarge the length to have better signals.
Tickers seen in green are the ones that are in an uptrend, according to Moving Average Color.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers before each Ticker indicate how many bars passed after the last BUY or SELL signal of Moving Average Color Change.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
Tillson T3 Moving Average - ScreenerScreener version of Tillson T3 Moving Average:
The T3 Moving Average generally produces entry signals similar to other moving averages and, thus, is mainly traded in the same manner. Here are several assumptions:
Suppose the price action is above the T3 Moving Average, and the indicator is upward. In that case, we have a bullish trend and should only enter long trades (advisable for novice/intermediate traders). If the price is below the T3 Moving Average and edging lower, we have a bearish trend and should limit entries to short.
About Screener Panel:
Users can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
Tickers seen in green are the ones that are in an uptrend, according to T3.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers in front of each Ticker indicate how many bars passed after the last BUY or SELL signal of T3.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
-In this screener version of Tillson T3 Moving Average, users can define the number of demanded tickers (symbols) from 1 to 20 by checking the relevant boxes on the settings tab.
-All selected tickers can be screened in different timeframes.
-Also, different timeframes of the same Ticker can be screened.
IMPORTANT NOTICE:
Screener shows the results in 2 different logic:
-Screener shows the information about the color changes of the T3 Moving Average with default settings.
-Users can check the "Change Screener to show T3 & Price Flips" button to activate the screener giving information about price flips.
If this option is preferred, users are advised to enlarge the length to have better signals.
MavilimW ScreenerScreener version of MavilimW Moving Average :
Short-Term Examples (by decreasing 3 and 5 default values to have trading signals from color changes)
BUY when MavilimW turns blue from red.
SELL when MavW turns red from blue.
Long-Term Examples (with Default values 3 and 5)
BUY when the price crosses over the MavilimW line
SELL when the price crosses below the MavW line
MavilimW can also define significant SUPPORT and RESISTANCE levels in every period with its default values 3 and 5.
Screener Panel:
You can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
Tickers seen in green are the ones that are in an uptrend, according to MavilimW.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers in front of each Ticker indicate how many bars passed after the last BUY or SELL signal of MavW.
For example, according to the indicator, when BTCUSDT appears (3) in GREEN, Bitcoin switched to a BUY signal 3 bars ago.
-In this screener version of MavilimW, users can define the number of demanded tickers (symbols) from 1 to 20 by checking the relevant boxes on the settings tab.
-All selected tickers can be screened in different timeframes.
-Also, different timeframes of the same Ticker can be screened.
IMPORTANT NOTICE:
-Screener shows the information about the color changes of MavilimW Moving Average with default settings (as explained in the Short-Term Example section).
-Users can check the "Change Screener to show MavilimW & Price Flips" button to activate the screener as explained in the Short-Term Example section. Then the screener will give information about price flips.
AlphaTrend - ScreenerScreener version of AlphaTrend indicator:
BUY / LONG when AlphaTrend line crosses above its 2 bars offsetted line, and there would be a green filling between them
SELL / SHORT when AlphaTrend line crosses below its 2 bars offsetted line, and filling would be red then.
Default values:
Coefficient: 1, which is the factor of the trailing ATR value
Common Period: 14, which is the length of ATR MFI and RSI
AlphaTrend default uses MFI in the calculation, and MFI (Money Flow Index) needs the volume data of the chart.
If your chart doesn't have the volume data, please select the "Change Calculation" option to use RSI instead of MFI.
Screener Panel:
You can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
Tickers seen in green are the ones that are in an uptrend, according to AlphaTrend.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers in front of each Ticker indicate how many bars passed after the last BUY or SELL signal of AlphaTrend.
For example, according to the indicator, when BTCUSDT appears in (3) and in GREEN, Bitcoin switched to BUY signal 3 bars ago.
KAIRI RELATIVE INDEXAn old but gold Japanese indicator for Mean Reverting strategies and ideal for Pairs Trading...
The Kairi Relative Index measures the distance between closing prices and a Moving Average in percent value (generally SMA).
Extreme reading in the KRI are considered buy and sell signals.
Extreme readings will vary by asset, with more volatile assets reaching much higher and lower extremes that more sedate assets.
The KRI is not an accurate timing signal, and therefore, should be combined with other forms of analysis to generate trade signals.
You can calculate percent difference between the price and 10 different types of Moving Averages in this version of KAIRI as:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
VWMA: Volume Veighted Moving Average
Personal advice: try using bigger length of Moving Averages like 50-100-200 for pairs and mean reversion strategies
AlphaTrend StrategyThe strategy version of AlphaTrend indicator for backtesting and optimisation purposes for TradingView users:
Screener / Explorer version and an English explantion video will be published soon...
AlphaTrend's parameters are designed for daily and 4H charts, feel free to optimize on all time frames.
Hope you all use Alphatrend in your profitable trades.
Kıvanç
AlphaTrendAlphaTrend is a brand new indicator which I've personally derived from Trend Magic and still developing:
In Magic Trend we had some problems, Alpha Trend tries to solve those problems such as:
1-To minimize stop losses and overcome sideways market conditions.
2-To have more accurate BUY/SELL signals during trending market conditions.
3- To have significant support and resistance levels.
4- To bring together indicators from different categories that are compatible with each other and make a meaningful combination regarding momentum, trend, volatility, volume and trailing stop loss.
according to those purposes Alpha Trend:
1- Acts like a dead indicator like its ancestor Magic Trendin sideways market conditions and doesn't give many false signals.
2- With another line with 2 bars offsetted off the original one Alpha Trend have BUY and SELL signals from their crossovers.
BUY / LONG when Alpha Trend line crosses above its 2 bars offsetted line and there would be a green filling between them
SELL / SHORT when Alpha Trend line crosses below its 2 bars offsetted line and filling would be red then.
3- Alpha Trend lines
-act as support levels when an uptrend occurs trailing 1*ATR (default coefficient) distance from bar's low values
-conversely act as resistancelevels when a downtrend occurs trailing 1*ATR (default coefficient) distance from bar's high values
and acting as trailing stop losses
the more Alpha Trend lines straighter the more supports and resistances become stronger.
4- Trend Magic has CCI in calculation
Alpha Trend has MFI as momentum, but when there's no volume data MFI has 0 values, so there's abutton to change calculation considering RSI after checking the relevant box to overcome this problem when there is no volume data in that chart.
Momentum: RSI and MFI
Trend: Magic Trend
Volatility: ATR,
Trailing STOP: ATR TRAILING STOP
Volume: MFI
Alpha trend is really a combination of different types...
default values:
coefficient: 1 which is the factor of trailing ATR value
common period: 14 which is the length of ATR MFI and RSI
Wish you all use AlphaTrend in profitable trades.
Kıvanç Özbilgiç
SuperTrendSHey! By using this script you can choose between the Regular SuperTrend and Pivot Point SuperTrend.
Pivot Point SuperTrend differs in calculation from the regular SuperTrend and as the name suggests, Pivot Points are used instead of ATR.
I made this script to make it easier to switch and compare between one another.
Also included Jurik RSX as a Momentum Indicator. SuperTrend changes color to purple when it's a bear trend and RSX is in an overbought state. And orange when it's a bull trend and RSX is in an oversold state. A reversal might be expected when color changes to purple & orange occur.
Special thanks to;
Kivanc Ozbilgic for SuperTrend
LonesomeTheBlue for Pivot Point SuperTrend
& everget for Jurik RSX
Enjoy!
Optimized Trend Tracker Oscillator OTTOOTTO - Optimized Trend Tracker Oscillator is a derivative of Anıl Özekşi's OTT - Optimized Trend Tracker:
It is more sensitive to price movements when compared to its ancestor OTT.
There are 2 more parameters of VIDYA moving average lengths FAST and SLOW.
Fast VIDYA has length of 10 bars and Slow VIDYA has 25.
Correction Constant is a crucial parameter to make the calculation more stable.
you can use 1000 to 100000000 by the powers of ten to obtain more accurate graphic values.
Buy and Sell signals make indicator more meaningful.
HIGH and LOW Optimized Trend Tracker HOTT LOTTAnıl Özekşi's latest development on his precious OTT - Optimized Trend Tracker:
In this version, there are two lines of OTT which are derived from HIGHEST price values (HOTT) and LOVEST price values (LOTT) which were originally sourced to CLOSE values on default OTT.
Another significant difference is there is no Support Line (Moving Average) in this version.
The area between HOTT and LOTT is FLAT ZONE which developer advises to do nothing.
Bars will be highlighted to Turquoise when candles close over HOTT, means an UPTREND SIGNAL
and to Fuchia when candles begin closing under LOTT line to indicate a DOWNTREND SIGNAL.
FLAT ZONE is highlighted also to have the maximum concentration on sideways market conditions.
There are three quantitative parameters in this indicator:
The first parameter in the OTT indicator set by the two parameters is the period/length.
OTT lines will be much sensitive to trend movements if it is smaller.
And vice versa, will be less sensitive when it is longer.
As the period increases it will become less sensitive to little trends and price actions.
In this way, your choice of period, will be closely related to which of the sort of trends you are interested in.
The OTT percent parameter in OTT is an optimization coefficient. Just like in the period
small values are better at capturing short term fluctuations, while large values
will be more suitable for long-term trends.
The final adjustable quantitative parameter is HIGHEST and LOWEST length which is the source of calculations.
Anıl Özekşi generally works on 1 minute charts so I personally advise traders to optimize parameters to have more accurate signals. Just concentrate on FLAT price zones and indicator will do the rest in trends.
Built in Moving Average type defaultly set as VAR but users can choose from 10 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Moving Average
DEMA : Double Exponential Moving Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
SuperTrended Moving AveragesA different approach to SuperTrend:
adding 100 periods Exponential Moving Average in calculation of SuperTrend and also 0.5 ATR Multiplier to have a clear view of the ongoing trend and also provides significant Supports and Resistances.
Default Moving Average type set as EMA (Exponential Moving Average) but users can choose from 11 different Moving Average types as:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
Credits going to @CryptoErge for sharing his development to public.
Supertrend Explorer First_40This indicator was brought by Kıvanç Özbilgiç. I only modified it to search for 40 stocks on BIST. The other stocks are listed as Second_40, Third_40 and Fourth_40.
MACD ReLoaded STRATEGYSTRATEGY version of MACD ReLOADED Indicator:
A different approach to Gerald Appel's classical Moving Average Convergence Divergence.
Appel originaly set MACD with exponential moving averages.
In this version users can apply 11 different types of moving averages which they can benefit from their smoothness and vice versa sharpnesses...
Built in Moving Average type defaultly set as VAR but users can choose from 11 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
In shorter time frames backtest results shows us TILL, WWMA, VIDYA (VAR) could be used to overcome whipsaws because they have less numbers of signals.
In longer time frames like daily charts WMA, Volume Weighted MACD V2, and MACDAS and SMA are more accurate according to backtest results.
My interpretation of Buff Dormeier's Volume Weighted MACD V2:
Thomas Aspray's MACD: (MACDAS)
MACD ReLoadedA different approach to Gerald Appel's classical Moving Average Convergence Divergence.
Appel originaly set MACD with exponential moving averages.
In this version users can apply 11 different types of moving averages which they can benefit from their smoothness and vice versa sharpnesses...
Built in Moving Average type defaultly set as VAR but users can choose from 11 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
In shorter time frames backtest results shows us TILL, WWMA, VIDYA (VAR) could be used to overcome whipsaws because they have less numbers of signals.
In longer time frames like daily charts WMA, Volume Weighted MACD V2, and MACDAS and SMA are more accurate according to backtest results.
My interpretation of Buff Dormeier's Volume Weighted MACD V2:
Thomas Aspray's MACD: (MACDAS)
PMax on Rsi w/T3 *Strategy*Profit Maximizer Indicator on RSI with Tillson T3 Moving Average:
PMax uses ATR calculation inside, for this reason users couldn't manage to use PMax on RSI because RSI indicator doesn't have High and Low values in bars, but ATR needs that values. So I personally calculate RSI in a different way to have High and Low values of RSI wrt price bars.
IMPORTANT:
Because of the sudden movements and divergences on RSI , this indicator must firstly optimized for the charts before using. Optimization can be held by users for the meaningful parameters for each chart.
3 parameters are critical when optimizing:
First: Multiplier
Second: Tillson T3 Length
Third: T3 Volume Factor
Says, Kıvanç Özbilgiç. Here's the strategy version for you to backtest & optimize properly.
Enjoy.
Stochastic Optimized Trend Tracker *Strategy*Stochastic OTT is Anıl Özekşi's latest derived version of Optimized Trend Tracker on Stochastic Oscillator.
He tried to solve the fake signals of Stochastic Oscillator by adopting OTT on the indicator.
He advised users to set the stochastic smoothing parameters to 500 and 200 on his latest video about SOTT.
He personally uses 1 min charts on stock market so the parameters of the indicator might have to be optimized for other time frames nad markets.
He exaggerated the Stochastic to 1000's to have better signals of percent values of OTT .
Also hes used VIDYA in both calculations of OTT and Stochastic smoothing.
Said, Kıvanç Özbilgiç.
I just made a Strategy version of the script so that we lads can backtest it. The codes for that are yet again from Kıvanç Özbilgiç :) I just copy-pasted a few and did some adjustments. Hope you enjoy!
#betonyetmez
Stochastic OTTStochastic OTT is Anıl Özekşi's latest derived version of Optimized Trend Tracker on Stochastic Oscillator.
You might like to view the original version of the indicator if you don't know about OTT yet:
He tried to solve the fake signals of Stochastic Oscillator by adopting OTT on the indicator.
He advised users to set the stochastic smoothing parameters to 500 and 200 on his latest video about SOTT.
He personally uses 1 min charts on stock market so the parameters of the indicator might have to be optimized for other time frames nad markets.
He exaggerated the Stochastic to 1000's to have better signals of percent values of OTT.
Also hes used VIDYA in both calculations of OTT and Stochastic smoothing.
Hope you'll enjoy the SOTT in your profitable trades.
Kıvanç
Normalized Quantitative Qualitative Estimation nQQENormalized version of Quantitative Qualitative Estimation QQE:
Normalized QQE tries to overcome the problems of false signals due to RSI divergences on the original QQE indicator.
The main purpose is to determine and ride the trend as far as possible.
So users can identify:
UPTREND : when nQQE Histogram is GREEN (nQQE is above 10)
DOWNTREND : when nQQE Histogram is RED (nQQE is below -10)
SIDEWAYS: when nQQE Histogram is YELLOW (nQQE is between -10 and 10)
Calculation is very simple;
RSI based QQE oscillates between 0-100
nQQE is simply calculated as:
nQQE=QQE-50
to make the indicator fluctuate around 0 level to get more accurate signals.
Various alarms added.
Kıvanç Özbilgiç
Quantitative Qualitative Estimation QQE
The QQE indicator is a momentum based indicator to determine trend and sideways.
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index (RSI) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR). These ATR lines are smoothed making this indicator less susceptible to short term volatility.
The most common method of using QQE is to look for crosses of the fast and slow moving trailing stop lines during periods when the QQE line reflects overbought or oversold conditions
Qualitative Quantitative Estimation made up of a smoothed Relative Strength Index (RSI) indicator plus fast and slow volatility-based trailing levels.
Qualitative Quantitative Estimation can be used in two directions:
1.Determine the trend, i.e. if the line is above the 50 level, the trend is ascending, if below - descending;
2.Search for signals at the moment of crossing of the QQE FAST (maroon) and QQE SLOW (blue) lines.
The QQE itself is generally considered to indicate an up-trend ifQQE FAST is above QQE SLOW, and a down-trend if below QQE SLOW.
Often a middle-range between 40 and 60 is set and if the indicator is in that range, then the market is considered to be tracking sideways, or in no trend.
You will need to set only one parameter – “SF” "RSI SMoothing Factor", an analogue of the period in RSI.
By the way, judging from the open source information, the algorithm used the standard strength index with a period of 14 for calculations.
Various signals can be created from the indicator such as:
-Buy when QQE FAST crosses above QQE SLOW below 50 level or just buy when QQE lines crosses above 50 level.
-Sell when QQE FAST crosses below QQE SLOW above 50 level or just sell when QQE lines crosses below 50 level.
WARNING: QQE IS A RSI BASED INDICATOR SO THAT IT CAN TRIGGER FALSE SIGNALS DURING DIVERGENCES!
Kıvanç Özbilgiç
