WillyCycle Oscillator&DoubleMa/ErkOzi/"This code creates a technical analysis indicator used to calculate and visualize the WillyCycle oscillator and double moving average indicators on the price of a financial asset. The functionality can be summarized as follows:
*Calculate the WillyCycle oscillator: The WillyCycle is an oscillator calculated based on the highest and lowest values of an asset. This oscillator is used to measure overbought or oversold conditions of the asset.
*Calculate the double moving average: The double moving average helps determine trends by calculating the short-term and long-term moving averages of asset prices.
*Use the WillyCycle oscillator and double moving average indicators together: The WillyCycle oscillator is combined with the double moving averages to provide a clearer indication of overbought and oversold conditions.
*Visualize the indicator with color coding: The indicator is color-coded to show overbought and oversold conditions. Additionally, line and background colors are changed to make the indicator more readable.
Many parameters can be adjusted on the indicator: The indicator can be customized and modified by the user. For example, the period of the WillyCycle oscillator and the lengths of the double moving averages can be adjusted."
The strategy is based on two indicators - the WillyCycle oscillator and the double moving average. The WillyCycle oscillator measures overbought and oversold conditions of the asset based on its highest and lowest values. The double moving average calculates short-term and long-term moving averages of the asset's price, which can help identify trends.
The WillyCycle oscillator and the double moving average are combined in this strategy to provide a clearer indication of overbought and oversold conditions. When the WillyCycle oscillator indicates that the asset is oversold and the short-term moving average crosses above the long-term moving average, it may signal a buy opportunity. Conversely, when the WillyCycle oscillator indicates that the asset is overbought and the short-term moving average crosses below the long-term moving average, it may signal a sell opportunity.
To make it easier for traders to read and interpret the indicator, color-coding is used to indicate overbought and oversold conditions. The user can also customize the indicator by adjusting parameters such as the period of the WillyCycle oscillator and the lengths of the double moving averages.
*ıt provides successful buy and sell signals for price reversals.
*You can open counter trades in overbought and oversold areas by following the averages.
Williams %R (%R)
AII - Average indicator of indicatorsThis Pine Script for TradingView is a technical analysis tool that visualizes the average of several popular indicators in the trading world. The indicators included are the RSI (Relative Strength Index), RVI (Relative Vigor Index), Stochastic RSI, Williams %R, relative MACD (ranging from 0 to 100), and Bollinger Bands price distance from 0 to 100. The script uses the "input" function to customize the length of the indicators and the "plot" function to display the results on the chart. In addition, options are included to turn off certain indicators and change the line colors if the user desires. All indicators can also be activated independently, allowing the user to see only the indicators they want. It is also mentioned that the script will be improved in the future to offer a better user experience. The calculated values are calculated with the default EMA of 14. Overall, this script is an excellent option for those looking for a combined view of several important indicators for making trading decisions.
CM_Williams_Vix_Fix - Market Top and Bottom with multi-timeframeThis is a modification of CM_Williams_Vix_Fix indicator to include both market tops and bottoms with multi-timeframe support. The original indicator only finds market bottoms.
All credits go to the original author ChrisMoody.
Original script link
Working:
The histogram above 0 signifies the trend of market going UP and the histogram below 0 signifies the trend of market going DOWN.
The histogram bar is calculated using "LookBack Period Standard Deviation High" number of candles. A threshold is calculated using bollinger bands and based on percentile of "Look Back Period Percentile High" number of candles.
If the histogram bar above 0 crosses the up threshold then we have market top which is signified by histogram bar having the color green. If the histogram bar below 0 crosses the down threshold then we have market bottom which is signified by histogram bar having the color red.
The market tops and bottoms can also be calculated across multiple timeframes.
Sample usage:
Suppose the market is in an uptrend and the indicator displays red market bottom bar, this might be an indication that the market has reached the end of a pullback. We can use additional indicators like stochastic or rsi to get additional confluence.
This indicator does not repaint but you need to wait for the candle to close.
Williams Fractals + SMMAwilliams fractail + moving average. Is for educational . combined indicator of williams fractails and smmothed moving average
Buy the dips - sell the topsThis script is a merge of the RSI and the Williams %R.
I've observed that in strong uptrends, we go from RSI overbought to RSI overbought, but it hardly gets oversold. (the same in the opposite direction)
To find a better entry point, Williams %R is used to find oversold conditions in an uptrend or overbought in a downtrend.
=> When W%R returns from oversold/overbought to normal, a triangle will be plotted and this is the point of entry to add to your position. (there's an option to mark all candles in the overbought/oversold region, by default it is off)
=> When RSI goes from overbought back to normal it will tell you to buy the dip. In a downtrend it will tell you to sell the tops.
=> When the RSI gets oversold and the previous RSI was overbought, it will mark to exit the position
I did backtest this one with a risk to reward of 2 and exit when target is reached.
Trading EUR/USD on the daily would return 28% after 10 years of trading with a success ratio of 43%.
Trading BTC/USD on the daily would lose 12% after 7 years and a success rate of 28%.
Trading it this way is not the best idea ;-) 2 Interesting observations however:
- Once you get the entry right, in 80% of the cases, you do reach the next RSI oversold/overbought level. Keeping your position open until you reach that level can be an option to maximize profits.
- When a triangle is plotted and it is the low compared to the previous more or less 5 candles (same for the high), chances are high it will be taken out a few candles later, so don't take a trade yet.
Using classic technical analysis might improve more your entry and exit positions.
Feel free to comment your best strategy using this indicator ;-)
Happy trading!
Quick and Simple - WPR+RSI+CCITake a look.
Couple of confluencial reversal signals from popular indicators (W%R, RSI & CCI). I can only say this shows how random the "stanard tools" are and how the market makers "play" these kind of tools to their advantage.
That said. It's better tha average, but not top-class, so expect to have to take signals with other confluence. DON'T take the plots or signals as buy / sell signals, they are just confluencial movements from these indicators based on how they should be "traditionally" used. Instead, use it as a guide as to what other traders may be thinking, or as a pull-back identifier.
Included 100 period ema as basic trend filter.
Not my normal type of script + been away for some time so be kind, lol :)
You might find it useful however so sharing.
More stuff to follow :)
End-pointed SSA of Williams %R [Loxx]End-pointed SSA of Williams %R is an indicator that runes Williams %R SSA calculation through a Singular Spectrum Analysis (SSA) algorithm to derive a smoother final output. The reduction in noise from the traditional Williams %R is significant.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
What is Singular Spectrum Analysis ( SSA )?
Singular spectrum analysis ( SSA ) is a technique of time series analysis and forecasting. It combines elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA aims at decomposing the original series into a sum of a small number of interpretable components such as a slowly varying trend, oscillatory components and a ‘structureless’ noise. It is based on the singular value decomposition ( SVD ) of a specific matrix constructed upon the time series. Neither a parametric model nor stationarity-type conditions have to be assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability.
For our purposes here, we are only concerned with the "Caterpillar" SSA . This methodology was developed in the former Soviet Union independently (the ‘iron curtain effect’) of the mainstream SSA . The main difference between the main-stream SSA and the "Caterpillar" SSA is not in the algorithmic details but rather in the assumptions and in the emphasis in the study of SSA properties. To apply the mainstream SSA , one often needs to assume some kind of stationarity of the time series and think in terms of the "signal plus noise" model (where the noise is often assumed to be ‘red’). In the "Caterpillar" SSA , the main methodological stress is on separability (of one component of the series from another one) and neither the assumption of stationarity nor the model in the form "signal plus noise" are required.
"Caterpillar" SSA
The basic "Caterpillar" SSA algorithm for analyzing one-dimensional time series consists of:
Transformation of the one-dimensional time series to the trajectory matrix by means of a delay procedure (this gives the name to the whole technique);
Singular Value Decomposition of the trajectory matrix;
Reconstruction of the original time series based on a number of selected eigenvectors.
This decomposition initializes forecasting procedures for both the original time series and its components. The method can be naturally extended to multidimensional time series and to image processing.
The method is a powerful and useful tool of time series analysis in meteorology, hydrology, geophysics, climatology and, according to our experience, in economics, biology, physics, medicine and other sciences; that is, where short and long, one-dimensional and multidimensional, stationary and non-stationary, almost deterministic and noisy time series are to be analyzed.
Included:
Bar coloring
[*Alerts
[*Signals
[*Loxx's Expanded Source Types
Related Williams %R Indicators
Williams %R on Chart w/ Dynamic Zones
Williams %R w/ Bollinger Bands
Intermediate Williams %R w/ Discontinued Signal Lines
Related SSA Indicators
End-pointed SSA of FDASMA
End-pointed SSA of Normalized Price Oscillator
Rsi/W%R/Stoch/Mfi: HTF overlay mini-plotsOverlay mini-plots for various indicators. Shows current timeframe; and option to plot 2x higher timeframes (i.e. 15min and 60min on the 5min chart above).
The idea is to de-clutter chart when you just want real-time snippets for an indicator.
Useful for gauging overbought/oversold, across timeframes, at a glance.
~~Indicators~~
~RSI: Relative strength index
~W%R: Williams percent range
~Stochastic
~MFI: Money flow index
~~Inputs~~
~indicator length (NB default is set to 12, NOT the standard 14)
~choose 2x HTFs, show/hide HTF plots
~choose number of bars to show (current timeframe only; HTF plots show only 6 bars)
~horizontal position: offset (bars); shift plots right or left. Can be negative
~vertical position: top/middle/bottom
~other formatting options (color, line thickness, show/hide labels, 70/30 lines, 80/20 lines)
~~tips~~
~should be relatively easy to add further indicators, so long as they are 0-100 based; by editing lines 9 and 11
~change the vertical compression of the plots by playing around with the numbers (+100, -400, etc) in lines 24 and 25
Williams % Range overlay mini plotPlots Williams Percent Range over bought/oversold indicator as a small overlay in top right corner.
De-clutter chart when all you're interested in is the real-time W%R to 'give permission' to enter a trade.
i.e. to remove the Williams %R lower pane from the above chart completely.
~~User Inputs~~
~W%R length
~Number of bars to show (default is last 6 bars)
~Plot offset (horizontal position of the plot; can be negative)
~Line color and thickness
~Show/hide plot title
~~tips~~
~in line 26, edit the multiplier (3*), to compress/expand the vertical size of the plot
Defu_RSIThis is a composite indicator, a collection of multiple indicators.
Includes:
1. in the simple RSI oversold and overbought area, I rewritten the RSI index of pine, which is more in line with the change of the relative intensity of rise and fall.
2. the red and green column line to the top is rewritten by William w% index. The red and green column indicates the top of the stage. When the column line disappears, it indicates the top of the stage. It is very reliable.
3. CCI green line: calculate CCI index through EMA weighting, smooth CCI curve and reflect trend change.
4. the j-link of KDJ variant indicates the real-time change of trend, which is used in conjunction with CCI index. Please observe carefully
5. the intra day fluctuation indicator is represented by a red orange column line below the 0 axis, and a simple filter is added to indicate the turning point of the trend.
I will continue to update when I have time
//==============The above is translated by Google , please pass the administrator
这是个复合指标，是多个指标的集合。
包含有 1. 简单RSI超卖超买区，我改写了pine自带的rsi指标，这个更加符合涨跌相对强度的变化。
2.到顶红绿柱线，由威廉W%指标改写，红绿柱表示阶段的顶部，当柱线消失时，表示阶段顶部，非常可靠。
3. CCI 绿色线，通过ema加权计算CCI指标，平滑CCI曲线，反应趋势变化。
4.用KDJ变种的J线连表示趋势的即时变化，这个配合CCI指标使用。请仔细观察
5.日内波动指示器，在0轴下方用红橙柱线表示，加了简单的过滤器，表示趋势的转折点。
Williams %R on Chart w/ Dynamic Zones [Loxx]Williams %R on Chart w/ Dynamic Zones is a Williams %R indicator but instead of being an oscillator it appears on chart. The WPR calculation used here leverages T3 moving average for its calculation. In addition, the WPR is bound by Dynamic Zones.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
What is T3 moving average?
Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
Bar coloring
Channels fill
Loxx's Expanded Source Types
35+ moving average types
Larry Williams Large Trade Index (LWTI) [Loxx]Larry Williams Large Trade Index (LWTI) is an indicatory by Larry Williams as explained in his book "Trade Stocks and Commodities with the Insiders: Secrets of the COT Report". I've added optional smoothing if you wish to smooth the output.
What is the Larry Williams Large Trade Index (LWTI)?
The original concept was specifically based on Trader (or Market) Sentiment and predicting market reversals. It's calculated as follows:
MovingAvg(Close - Close , bars used in average)/MovingAvg(Range,bars used in average)*50 + 50
Included
Bar coloring
Signals
Alerts
Larry Williams Proxy Index (LWPI) [Loxx]Larry Williams Proxy Index (LWPI) is an indicatory by Larry Williams as explained in his book "Trade Stocks and Commodities with the Insiders: Secrets of the COT Report", pages 129-135. This is an INVERSE indicator, so follow the signals and colors to understand what it's doing. I've added optional smoothing if you wish to smooth the output.
What is the Larry Williams Proxy Index (LWPI)?
The original concept was specifically based on Trader (or Market) Sentiment and predicting market reversals. It's calculated as follows:
MovingAvg(Open-Close, bars used in average)/MovingAvg(Range, bars used in average)*50+50
Included
Bar coloring
Signals
Alerts
Williams %R w/ Bollinger Bands [Loxx]Williams %R w/ Bollinger Bands is a Williams %R indicator with Bollinger bands. The Bollinger bands are used to determine when breakouts/breakdowns occur.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
Included:
bar coloring
signals
alerts
All TimeFrame OscillatorsI have always fighted to understand the market direction because it looks different on different timeframes.
I wanted an indicator where I can see all the different timeframes at once.
This indicator shows already existing oscillators but not only in the current chart's timeframe, but all the most important higer timeframes at once.
I have started with the stoch, then added as many oscillators as I could.
Experimenting with this I have saw that confluence of 4H 1D and 1W Stoch can be very interesting and can highlight higher timeframe take profit areas and sometimes major tops/bottoms.
Also bounces can be interesting when a lower timeframe stoch is bounced or rejected from a higher one.
Oscillators:
Stoch - Stochastic Oscillator
SMI - Stochastic Momentum Index
Rsi - Relative Strength Index
StochRsi - Stochastic RSI
WaveTrend - Vumanchu alias Market Cypher Wave Trend line
CCI - Commodity Channel Index
CCIStoch - Stochastic CCI
Williams Percent Range - Williams %R
Norm. MACD - Normalized Moving Average Convergence Divergence
Norm. MACD Hist - Normalized MACD Histogramm
PVT - Normalized Price Volume Trend
MFI - Money Flow Index
CMF - Chaikin Money Flow
Chande Momentum - Chande Momentum
Volume - Normalized Volume
CandleValue - Vumanchu alias Market Cypher MoneyFlow
BBWP - Bollinger Band Width Percentile
Line Type
Smooth: lines are smoothed, but the actualy not closed values are not shown
Step: Step lines, the actually open timeframes are calculated as they closed at the current values
Plot Oscillator or it's Slope:
its possible to not plot the oscillator but it's slope
Print dots when:
Cross Up/Down oversold/overbougt level - best for most oscillators. for example when Stoch crosses above 20 or below 80
Cross os/ob and the one higher TF is about to cross - when it's crosses beolw 80 and the higher timeframe oscillator is still above ans sloping down
Cross above/below middle line - for example on RSI being above or below 50 can be interesting
Print triangles when:
All Slope Match - all visible timeframe lines are pointing up or down at the same time
All above/belove middle line - all visible lines are above or belove the middle line
All above/belove middle line and slope match - like the previous one and the slope direction is the same
All above/below oversold/overbougt - all lines are above or below os/ ob. this is the default. it can be a very important confluence
Lower TF in order - 5, 15, 30, 60 minute timeframes are in order.
Higher TF in order - 4H 1D 1W in order (like 4H above 1D abd 1D above 1W). can be interesting at RSI
4H-1D in order - 4H 1D in order .
Print triangles
Print all triangles - print all triangles when the condition is met
Print only first triangles - only show when the condition starts to met
Print only last triangles - small triangles when the condition met first, large when last. tis is the default.
Timeframes to show:
You can turn on/off different timeframs to show or not from the list below:
1m 5m 15m 30m 1H 4H D 5D W M
This is for experimenting/ understanding the market direction on multiple timeframes at once.
Don't take it's signals (and any other indicator's) as exact trade signals. use it as confirmation instead.
Any comments, insights, ideas are welcome.
Williams Vix Fix Bottoms and TopsThis indicator uses the very popular Williams Vix Fix for Bottoms by Chris Moody but not only does it search for bottoms, it can also be switch to work for tops for those who look to short the market. I've also added in a few options like flipping the indicator, color adjustments on the settings page, as well as cut a few of the options I feel did not need to be in which cluttered the screen when the settings were opened. In his later revisions of the Williams Vix Fix, CM took out the functions which draw the high/low ranges as well as the standard deviation which is what this indicator uses to show entry points. I have added options back on to draw these, I think it's useful. To be honest, I have not messed around with the number settings much so I am not sure how adjusting the look back range or going for smaller / bigger percentage changes would change how well the indicator works. It seems to work very well at its default settings.
With the Bollinger Band deviation, you have to remember that it looks back at the set amount of candles (20 by default) and uses those for the standard deviation: 1 dev = 68%, 2 dev = 95%, 3 dev = 99.7%
These percentages mean that at 2 dev, 95% of the last 20 candles will remain within the boundaries of the Bollinger Bands. Three tends to be too high, one is usually too low. Two is pretty good.
The lowest percentile option probably won't change much other than bring up the bottom line which doesn't effect the alerts or signals, just something to observe.
The highest percentile option makes a difference similar to the stand deviation and Bollinger Band. The higher you put it, the less likely it will get triggered but the more reliant it of a signal it should be.
As always, I have left notes throughout the code and I did leave in the code that was original but commented it out as I don't believe it's worth having.
I like to have the high/lows drawn, as well as the standard deviation. Then I find that the filtered entries are most accurate signals to follow. Simple entry is hit or miss, Aggressive entry is always early but sometimes that's not a great thing.
Intermediate Williams %R w/ Discontinued Signal Lines [Loxx]Intermediate Williams %R w/ Discontinued Signal Lines is a Williams %R indicator with advanced options:
-Williams %R smoothing, 30+ smoothing algos found here:
-Williams %R signal, 30+ smoothing algos found here:
-DSL lines with smoothing or fixed overbought/oversold boundaries, smoothing algos are EMA and FEMA
-33 Expanded Source Type inputs including Heiken-Ashi and Heiken-Ashi Better, found here:
What is Williams %R?
Williams %R, also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
Included:
-Toggle on/off bar coloring
-Toggle on/off signal line
MACD Willy StrategyThis strategy is mainly developed for scalping / intraday trading. It could potentially be used to identify entry/exit signals for short term options trading. It performs decently well on popular stocks when used on time frames between 5 min to 15 min using regular session bar data. It combines 3 popular indicators, EMA, MACD, and William %range, to generate both long and short signals.
EMA:
Default is 200 EMA line.
MACD:
Default is 12/26 lengths for fast/slow signal inputs.
William %R - Smoothed (Published):
This is a custom indicator that generates two moving average lines from the original William %R line.
How it works:
Entry conditions:
1. Long/short entries when bar closes above/below EMA line
2. Long/short entries when MACD line is above/below signal line (histogram > 0 for long, < 0 for short)
3. Long/short entries when William %R fast MA line is above/below slow MA line
Exit conditions:
1. Exit long when MACD line is below signal line, vise versa for exit short
2. Exit long when William %R fast MA line is below slow MA line, vise versa for exit short
3. Exit long when William %R fast MA line must in below the overbought (-20) limit, exit short when above the oversold (-80) limit.
***Note that parameters are NOT optimized for any particular stocks / instruments.
Enjoy~~!!
Williams %R - SmoothedFrom TradingView's description:
Williams %R (%R) is a momentum-based oscillator used in technical analysis, primarily to identify overbought and oversold conditions. The %R is based on a comparison between the current close and the highest high for a user defined look back period. %R Oscillates between 0 and -100 (note the negative values) with readings closer to zero indicating more overbought conditions and readings closer to -100 indicating oversold. Typically %R can generate set ups based on overbought and oversold conditions as well overall changes in momentum.
What's special?
This indicator adds two additional EMA lines to the original Williams %R indicator. Default EMA lengths are 5 and 13. The result is 2 smoother average lines, which are easier to read.
This indicator includes:
- signals for EMA crosses. EMA crosses can help indicate confirmed trend changes. Default colors are green and red
- signals for trend reversals on the faster EMA line. Default colors are blue and orange
Alerts available for bullish/bearish crossovers and reversals.
Enjoy~~!
ICT index correlated market indicatorThis is not a real indicator, but is what ICT use as indicator for trading futures indexes.
it can only display SP500, Dow Jon Industrial Average and Nasdaq, if someone want other market can copy the code and change some parameters (is more easy than it can appear)
A good idea is using this other market on backtest to confirm the divergence idea of Linda Raske, than use it to spot quickly in real market.
Another idea published by ICT is the "hidden entry pattern", the entry signal appear in ES or YM but I trade NQ for volatility, so I use the trigger of SP500 or Dow to enter in Nasdaq.
Rember always don't trust anybody, do your own backtest and research!
Kijun Trend IndicatorName: Kijun Trend Indicator
Category: Trend Analysis
Timeframe: All timeframes
Suggested usage: In a trending market, to understand when it is good to enter short (red line) and when to enter long (blue line).
Technical Analysis: The original idea was taken from Larry Williams: an uptrend is identified when the price is above an 18-period simple moving average (SMA) and when at least two candles do not touch the simple moving average with their lows. The opposite is true for a downtrend.
Corrado Rondelli has therefore reinterpreted with Ichimoku aka "ichimokized" replacing the 18-period Simple Moving Average with the 26-period Kijun - as per the original Ichimoku settings.
In order to make the indicator more flexible an Exponential Moving Average (EMA) has also been added.
The indicator plots the chosen line that becomes red when it is good to enter short and blue when it is good to enter long.
Configuration:
- Length: period to be used to calculate the line.
- Type: the line type that can be the Kijun (26-period) or SMA/EMA (18-period)
Inverse Fisher Transform on Williams %RInverse Fisher Transform On Williams %R
Since Williams R indicator produces negative values, I preferred to add 50 instead of subtracting 50.
It produces values between 0.5 and -0.5.
Generates clear buy and sell signals.
Williams %R determines overbought and oversold levels.
You can see more softly.
