Bull vs Bear Power by DGTElder-Ray Bear and Bull Power
Dr. Alexander Elder cleverly named his first indicator Elder-Ray because of its function, which is designed to see through the market like an X-ray machine. Developed in 1989, the Elder-Ray indicator can be applied to the chart of any security and helps traders determine the strength of competing groups of bulls and bears by gazing under the surface of the markets for data that may not immediately be ascertainable from a superficial glance at prices
The Elder-Ray indicator is comprised by three elements – Bear Power, Bull Power and a 13-period Exponential Moving Average.
As the high price of any candle shows the maximum power of buyers and the low price of any candle shows the maximum power of sellers, Elder uses the 13-period EMA in order to present the average consensus of price value. Bull power shows whether buyers are capable of pushing prices above the average consensus of value. Bear power shows whether sellers are capable of pushing prices below the average consensus of value. Mathematically, Bull power is the result of subtracting the 13-period EMA from the high price of the day, and Bear power is the result of subtracting the 13-period EMA from the low price of the day.
What does this study implements
Attempts to customize interpretation of Alexander Elder's Elder-Ray Indicator (Bull and Bear Power) by
• adding additional insights to support/confirm Elder’s strategy with different indicators related with the Elder’s concept
• providing different options of visualization of the indicator
• providing smoothing capability
Other Indicators to support/confirm Elder-Ray Indicator:
Colored Directional Movement Index (CDMI) , a custom interpretation of J. Welles Wilder’s Directional Movement Index (DMI) , where :
DMI is a collection of three separate indicators ( ADX , +DI , -DI ) combined into one and measures the trend’s strength as well as its direction
CDMI is a custom interpretation of DMI which presents ( ADX , +DI , -DI ) with a color scale - representing the trend’s strength, color density - representing momentum/slope of the trend’s strength, and triangle up/down shapes - representing the trend’s direction. CDMI provides all the information in a single line with colored triangle shapes plotted on the top. DMI can provide quality information and even trading signals but it is not an easy indicator to master, whereus CDMI simplifies its usage.
Alexander Elder considers the slope of the EMA, which gives insight into the recent trend whether is up or down, and CDMI adds additional insight of verifying/confirming the trend as well as its strength
Note : educational content of how to read CDMI can be found in ideas section named as “Colored Directional Movement Index”
different usages of CDMI can be observed with studies “Candlestick Patterns in Context by DGT", “Ichimoku Colored SuperTrend + Colored DMI by DGT”, “Colored Directional Movement and Bollinger Band's Cloud by DGT”, and “Technical Analyst by DGT”
Price Convergence/Divergence , if we pay attention to mathematical formulations of bull power, bear power and price convergence/divergence (also can be expressed as price distance to its ma) we would clearly observe that price convergence/divergence is in fact the result of how the market performed based on the fact that we assume 13-period EMA is consensus of price value. Then, we may assume that the price convergence/divergence crosses of bull power, or bear power, or sum of bull and bear power could be considered as potential trading signals
Additionally, price convergence/divergence visualizes the belief that prices high above the moving average or low below it are likely to be remedied in the future by a reverse price movement
Alternatively, Least Squares Moving Average of Price Convergence/Divergence (also known as Linear Regression Curve) can be plotted instead of Price Convergence/Divergence which can be considered as a smoothed version of Price Convergence/Divergence
Note : different usages of Price Convergence/Divergence can be observed with studies “Trading Psychology - Fear & Greed Index by DGT”, “Price Distance to its MA by DGT”, “P-MACD by DGT”, where “Price Distance to its MA by DGT” can also be considered as educational content which includes an article of a research carried on the topic
Options of Visualization
Bull and Bear Power plotted as two separate
• histograms
• lines
• bands
Sum of Bull and Bear Power plotted as single
• histogram
• line
• band
Others
Price Convergence/Divergence displayed as Line
CDMI is displayed as single colored line of triangle shapes, where triangle shapes displays direction of the trend (triangle up represents bull and triangle down represent bear), colors of CDMI displays the strength of the trend (green – strong bullish, red – strong bearish, gray – no trend, yellow – week trend)
In general with this study, color densities also have a meaning and aims to displays if the value of the indicator is falling or growing, darker colors displays more intense move comparing to light one
Note : band's upper and lower levels are calculated by using standard deviation build-in function with multiply factor of 0.236 Fibonacci’s ratio (just a number for our case, no any meaning)
Smoothing
No smoothing is applied by default but the capability is added in case Price Convergence/Divergence Line is assumed to be used as a signal line it will be worth smoothing the bear, bull or sum of bear and bull power indicators
Interpreting Elder-Ray Indicator, according to Dr. Alexander Elder
Bull Power should remain positive in normal circumstances, while Bear Power should remain negative in normal circumstances. In case the Bull Power indicator enters into negative territory, this implies that sellers have overcome buyers and control the market. In case the Bear Power indicator enters into positive territory, this indicates that buyers have overcome sellers and control the market. A trader should not go long at times when the Bear Power indicator is positive and he/she should not go short at times when the Bull Power indicator is negative.
13-period EMAs slope can be used in order to identify the direction of the major trend. According to Elder, the most reliable buy signals are generated, when there is a bullish divergence between the Bear Power indicator and the price (Bear Power forms higher lows, while the market forms lower lows). The most reliable sell signals are generated, when there is a bearish divergence between the Bull Power indicator and the price (Bull Power forms lower highs, while the market forms higher highs).
There are four basic conditions, required to go long or short, with the use of the Elder-Ray method alone.
In order to go long:
1. The market is in a bull trend, as indicated by the 13-period EMA
2. Bear Power is in negative territory, but increasing
3. The most recent Bull Power top is higher than its prior top
4. Bear Power is going up from a bullish divergence
The last two conditions are optional that fine-tune the buying decision
In order to go short:
1. The market is in a bear trend, as indicated by the 13-period EMA
2. Bull Power is in positive territory, but falling
3. The most recent Bear Power bottom is lower than its prior bottom
4. Bull Power is falling from a bearish divergence
The last two conditions are optional, they provide a stronger signal for shorting but they are not absolutely essential
If a trader is willing to add to his/her position, he/she needs to:
1. add to his/her long position, when the Bear Power falls below zero and then climbs back into positive territory
2. add to his/her short position, when the Bull Power increases above zero and then drops back into negative territory.
note : terminology of the definitions used herein are as per TV dictionary
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Cari dalam skrip untuk "Up down"
KINSKI Laguerre Filter WaveThe "Laguerre Filter Wave" Indicator usually shows market cycles and is a perfect fit for swing traders who trade with market fluctuations. Upward-trends are shown as green lines and optional bands. Downward trends are represented by the color red. Each of the 18 available lines can be adjusted to your own preferences via a gamma factor.
You also have the following display options:
- "Up/Down Movements: On/Off" - Shows ascending and descending of lines
- "Bands: On/Off" - Fills the space between the lines with colors to indicate up or down trends
- "Bands: Transparency" - sets the transparency of the fill color
- "MA Line: Size" - sets the width of the lines
- "MA Line: Transparency" - sets the transparency of the lines
20 and 200 SMA indicators with unnecessary additionsAs many of you know, world famous Oliver Velez uses the simple 20 and 200 simple moving averages on 2 min time frame with price actions above or below these key SMAs for day/scalp trading involving narrow state versus wide state trend or anti-trend methods. The 20 SMA line uses different colors to indicate whether it is going up or down.
Against Oliver's advice, I also unnecessarily added boll bands on the 200 SMA, two +/- percent lines off 200 SMA to measure how far away prices are from the 200 SMA. I also added 10 ema cross 20 SMA cross signal, MACD line up /down, RSI crossover RSI SMA for those are want to make things complicated or might find they helpful. You can turn off all these ideally to Keep It Simple.
Again trading success is 80% psychology and 20% a good trading system plus risk management. Good luck.
Sequential Filter - An Original Filtering ApproachRemoving irregular variations in the closing price remain a major task in technical analysis, indicators used to this end mostly include moving averages and other kind of low-pass filters. Understanding what kind of variations we want to remove is important, irregular (noisy) variations have mostly a short term period, fully removing them can be complicated if the filter is not properly selected, for example we might want to fully remove variations with a period of 2 bars and lower, if we select an arithmetic moving average the filter output might still contain such variations because of the ripples in the frequency response passband, all it would take is a variation of high amplitude for that variation to be clearly visible.
Although all it would take for better filtering is a filter with better performance in the frequency domain (gaussian, Butterworth, Bessel...) we can design innovative approaches that does not rely on the model of classical moving averages, today a new technical indicator is proposed, the technical indicator fully remove variations lower than the selected period.
The Indicator Approach
In order for the indicator output to change the closing price need to produce length consecutive up's/down's, length control the variation threshold of the indicator, variations lower than length are fully removed. Lets see a visual example :
Here length = 3, the closing price need to make 3 consecutive up's/down's, when the sequence happen the indicator output is equal to src , here the closing price, else the indicator is equal to its precedent value, hence removing other variations. The value of 3 is the value by default, this is because i have seen in the past that the average smallest variations period where in general of 3 bars.
Because the indicator focus only on the variation sign, it totally ignore the amplitude of the movement, this provide an effective way to filter short term retracement in a fluctuation as show'n below :
The candle option of the indicator allow the indicator to only focus on the body color of a candle, thus ignoring potential gaps, below is an example with the candle option off :
If we activate the "candle" option we end up with :
Note that the candle option is based on the closing and opening price, if you use the indicator on another indicator output make sure to have the candle option off.
Length and Indicator Color
The closing price is infected by noise, and will rarely make a large sequence of consecutive up's/down's, the indicator can therefore be useful to detect consecutive sequence of length period, here 6 is selected on BTCUSD :
A consecutive up's/down's of period 6 can be considered a relatively rare event.
It is important to note that the color of the indicator used by default has nothing to do with the consecutive sequence detected, that is the indicator turning red doesn't necessarily mean that a consecutive down's sequence has occurred, but only that this sequence has occurred at a lower value than the precedent detected sequence. This is show'n below :
In order to make the indicator color based on the detected sequence check the "Color Based On Detected Sequence" option.
Conclusion
An original approach on filtering price variations has been proposed, i believe the indicator code is elegant as well as relatively efficient, and since high values of length can't really be used the indicator execution speed will remain relatively fast.
Thanks for reading !
Market Delta [Makit0]MARKET DELTA INDICATOR v0.5 beta
Market Delta is suitable for daytrading on intraday timeframes, is a volume based indicator which allows to see the UP VOLUME vs the DOWN VOLUME, the DELTA (difference) and the CUMULATIVE DELTA (cumulative sum of difference) between them
This indicator is based on contracts volume (data avaiable), not in ask/bid volume (data not avaiable)
The up/down volume is calculated at each candle as follows:
- calculate the ticks of the range, top wick and bottom wick
- calculate the ticks up and ticks down to get the total ticks of the candle
- calculate the volume per tick as total volume divided by total ticks
- calculate the up and down volume as volume per tick multiplied by up ticks and down ticks
The delta is calculated as volume up minus volume down
The cumulative delta is a cumulative sum of delta and is resetted to 0 twice a day at the globex open and at the us cash open
By default the indicator plots the 'CANDLE MODE' which is useful for charting the cumulative volume to find out support and resistance zones where the volume is rejected or pass thru, as the volume moves so does the price, price always follows the volume, price goes away from where volume dries and price auctions comfortable where is plenty of volume, in a way PRICE FEEDS ON VOLUME
An indication about the plotting style in the volume, delta and cumulative delta modes: I can't use histogram as intended due a bug at autoresizing the scale in the candle mode, so the styles used are areabr and circles.
FEATURES
- Plot volume in one of four modes: Volume Up/Down, Delta, Cumulative Delta, Cumulative Delta as Candles
- Cumulative delta resetted twice a day (globex and cash open)
- Show a base line at 0
SETTINGS
- Mode: select one of the four volume output modes: Volume, Delta, Cumulative Delta and Candles. Candles by default
- Show zero line: show/hide the zero base line. False by default.
HOW TO SETTING UP THE INDICATOR:
BE AWARE, by default the indicator settings are configured for using the Cumulative Delta Candle Mode
- Candles Mode Settings: configured by default, mode candles and zero line off
- Volume, Delta, Cumulative Delta Mode Settings: select the mode you want and switch on/off the zero line
GOOD LUCK AND HAPPY TRADING
Rivanews Setup - Riva-Keltner, Média Rock [xdecow]This setup was created by Rivadavila S. Malheiros
There are 2 Keltner Channels with exponential moving averages of 21 (riva) and 89 (rock) and ATR multiplier of 0.618.
When the price is between the bands, it is a sign of consolidation (yellow).
When the price is above the bands, it is an upward trend (green).
When the price is below the bands, it is a downward trend (red).
When the price crosses rock 89 and closes up / down, it may be a sign of a reversal. But it has a high probability of testing rock 89 again.
------------------------------------------------------------------------------------------
PT-BR
Este setup foi criado por Rivadavila S. Malheiros
São 2 Keltner Channels com médias móveis exponenciais de 21 (riva) e 89 (rock) e multiplicador do ATR de 0.618.
Quando o preço está entre as bandas, é sinal de consolidação (amarelo).
Quando o preço está acima das bandas, é uma tendencia de alta (verde).
Quando o preço está abaixo das bandas, é uma tendencia de baixa (vermelho).
Quando o preço cruza a rock 89 e fecha acima/abaixo, pode ser sinal de reversão. Mas tem uma alta probabilidade de testar a rock 89 novamente.
Multi-TF Avg BBandsMULTI-TF AVERAGE BBANDS - with signals (BETA)
Overall, it shows where the price has support and resistance, when it's breaking through, and when its relatively low/high based on the magic of standard deviation.
created by gamazama. send me a shout if u find this useful, or if you create something cool with it.
%BB: The price's position in the boilinger band is converted to a range from 0-1. The midpoint is at 0.5
Description of parameters
"BB:Window Length" is the standard BB size of 20 candles.
The indicator plots up to 7 different %BB's on different timescales
They are calculated independently of the timescale you are viewing eg 12h, 3d, 30m will be the same output
You can enter 7 timescales, eg. if you want to plot a range of bbands of the 12h up to 3d graphs, enter values between 0.5 and 3 (days) - you can also select 0 to disable and use less timescales, or select hours or minutes
Take note if you eg. double the main multiplier to 40, it is the same as doubling all your timescales
You can turn the transparency of the 7 x %BB's to 100 to hide them, their average is plotted as a thick cyan line
"Variance" is a measure of how much the 7 BB's agree, and changes colour based on the thresholds used for the strategy
---- TO START FROM SCRATCH ----
- set all except one to ZERO (0), set to 0, and everything after to 0.
Turn ON and right click -> move the indicator to a new pane - this will show you the internal workings of the indicator.
Then there is a few standard settings
"Source Smoothing Amount" applies a basic small sma on the price.
It should be turned down when viewing candles with less information, like 1D or more.
Standard BBands use an SMA, there one uses a blend between VWMA or SMA
Volume Weight settings, the same as SMA at 0, and the same as VWMA at 1
BB^2 is a bband drawn around the average %BB. Adjust the to change its window length
The BB^2 changes color when price moves up or down
Now its time to look at the parameters which affect the buy/sell signals
turn on "show signal range" - you see some red lines
buy and sell each have 4 settings
min/max variance will affect the brigtness of the signal range
range adjust will move the range up/down
mix BB^2 blends between a straight line (0) and BB^2's top or bottom (1)
a threshold of "variance" and "h/l points" is available to generate weaker signals.
these thresholds can be increased to show more weak signals
ONCE YOU ARE HAPPY WITH THE SIGNALS being generated, you can turn OFF , and move it back to the price pane
the indicator then draws a bband around the price to maps some info into the chart:
fills a colour between 0.5 & the mid BB^2 and converts relative to the price chart
draws a line in the middle of the midband.
controls how much these lines diverge from the price - adjust it to reduce noise
converts the signal range (red lines) to be relative to the price chart
if you like, you can adjust the sell & buy signals in the tab from and to and to match the picture. It messes with auto-scaling when moving back to though
enjoy, I hope that is easy enough to understand, still trying to make this more user-friendly.
If you want to send me some token of appreciation - btc: 33c2oiCW8Fnsy41Y8z2jAPzY8trnqr5cFu
I promise it will put a fat smile on my face
Karobein OscillatorDeveloped by Emily Karobein, the Karobein oscillator is an oscillator that aim to rescale smoothed values with more reactivity in a range of (0,1)
Calculation
The scaling method is similar to the one used in a kalman filter for the kalman gain.
We first average the up/downs x, those calculations are similar to the ones used for calculating the average gain/loss in the relative strength index.
a = ema(src < src ? x : 0,length)
b = ema(src > src ? x : 0,length)
where src is a exponential moving average of length period and x is src/src in the standard calculations, but anything else can be used as long as x > 0 .
Then we rescale the results.
c = x/(x + b)
d = 2*(x/(x + c*a)) - 1
How To Use
It is better to use centerline-cross/breakouts/signal line.
In general when we use something smooth as input in oscillators, breakouts are better than reversals, you can see this with the stochastic and rsi.
So a simple approach could be buying when crossing over 0.8 and selling when crossing under 0.2.
Here is the balance of a strategy using those conditions, length = 50 .
20 trades have been mades since the 29 oct we made 341 pips with eur/usd, of course this backtest was made during good trends period,
this result is not representative of how the strategy work with other conditions/markets.
For any questions/suggestions feel free to contact me
Katana Gaps Bounty Hunter Pro (Show Gaps of All Types) by RRBKatana Gaps Bounty Hunter Pro (KGB Hunter Pro, Gap Exterminator) by RagingRocketBull 2018
Version 1.0
This indicator shows/counts/filters gaps on a chart.
There are several versions: Simple, Pro, Advanced and Zones. This is the Pro version. The Differences are listed below.
- Simple: shows/counts gaps, changes color based on gap dir (2 colors), filters out price gaps within session, large gaps, and high volume gaps
- Pro: +shows all types of gaps, multi color, pro filters (full/partial/overlapping time, price, large, candle, volume, doji, weekend gaps within delta ranges)
- Advanced: +session times mask, show/count gaps only for last N bars, +min/max/filled gaps stats, dark mode
- Zones: +shows gaps as dynamic horiz zones
KGB Hunter Pro Gap Exterminator focuses on showing you all possible types of gaps in multiple colors. Gap theory states that price tends to return and fill the gaps,
so you can use it to collect the bounty. You can apply any combination of complex filters to narrow down search results i.e., find only all:
- type 3 gaps up with allowed wick-candle overlapping of up to 10% and
- gap size larger than 200 and
- with at least one of the candles larger than 100 and
- volume change at least 40 and
- spanning less than 2 bar periods and
- excluding weekend gaps
Features:
- highlights gaps using barcolor and plotchar chars (8 colors x 2 dirs)
- supports all 3 types of gap overlapping: full gap (no overlapping), wick-wick and wick-body overlapping up to a specified % of candle body
- finds all types of gaps with pro filters for price, time, large, volume, timerange, candle size, doji gaps
- individual show/hide flags for each gap/char based on gap type
- can show/hide gaps/chars based on gap dir
- changes color of gaps/chars based on gap dir/type, multi color gap type combos
- displays chars above/below bar based on gap dir
- can show/hide weekend gaps
- counts all filtered gaps
Colors:
Basically There are 2 gap types (Price, Time) x 2 directions (Up, Down) x 2 modifiers (Large, Volume), Volume Gap is a separate class with its own modifiers, so more accurately:
- (Price, Time) x 2 directions (Up, Down) x Large modifier
- (Price Volume, Time Volume) x 2 directions (Up, Down) x Large modifier
using a total of 16+1 colors or 8+1 base colors + transparency modifier
depending on settings you can highlight gaps using any multi color combo from just 1 to all 16 colors (+1 gray color for weekends).
basic gap = 1 base color with normal transparency
price,time = 2 base colors (including basic gap) with normal transparency (+1 color)
* up,down dir = +2 new base colors with normal transparency (including 2 base colors), with a total of 2*2 = 4 price/time base colors (+2 colors)
* large = same 4 base colors with vivid transparency modifier (+4 colors)
* volume = +2 new base colors with normal transparency, a separate class (+2 colors)
* volume * up,down dir = +another 2 new base colors with normal transparency (including 2 volume base colors), with a total of 2*2 = 4 volume base colors (+2 colors)
* volume * large = 4 volume base colors with vivid transparency modifier (+4 colors)
weekend_gap = gray (+1 color)
doji gap, candle gap, timerange gap = no special color, inherits color from parent gap type
for more details, please see the Gap Color Hierarchy comments in code
_________________________________________________________________________
You can find the following gap related terminology in literature: full, partial, extreme, breakaway, runaway/continuation, common, exhaustion gaps.
There are no exact rules to distinguish between them, so this can't be implemented.
When defining a gap it all boils down to how do you plot a gap, which points between adjacent candles do you consider a gap. Different sources apply different methodology
but in practice only 3 types of gap overlapping can exist:
- full gap (no overlapping),
- partial (wick-wick overlapping) and
- extreme partial (wick-body overlapping up to a specified % of a candle body)
All these types are supported in this script. The only possible remaining option is candle-candle overlapping which is not a gap by definition.
Many other script specific subtypes are also supported. Please see description of each gap type below and comments in code.
General display modes
- gap has 3 possible overlapping modes: full gap (no overlapping), wick-wick overlapping, wick-candle overlapping up to a specified % of candle body size (for mode 3 only)
the remaining candle-candle overlapping implies not a gap by definition
full gap mode will find the least amount of gaps, wick-candle - the most
- gap can be either price or time, up or down, and shown above or below the candles (gap chars)
- by definition, a price gap is a smaller subset of a time gap, a gap within current session with a price gap and zero time lag between bars.
Therefore timerange filter is useless for price gaps, but can still be applied.
On the other hand, all price gap filters can be applied to time gaps without any distinction.
- gap can have multiple modifier subtypes: (price|time) * (up|down) * (large? + volume? + doji? + timerange? + weekend?)
i.e. price + large + volume + doji or time + large + volume + timerange + doji + weekend
- the gap is always counted only once no matter how many subtype modifiers it has
- if the gap does not satisfy any of the applied flags/filters it is not shown/counted (no gap bars/chars are shown)
- gap color can depend on a combo of gap type/dir and modifier subtypes or can be shown in a single base color
- char color can only depend on gap dir (not type/modifiers) or can be shown in a single base color
- char position can also depend on gap dir (above/below) the gap candle. Alternatively you can pin chars to the top/bottom of the screen in UI Styles.
- change_by_type = true - uses gap type base colors (2 colors + optional modifiers, up to 8 colors if volume and/or large filters are enabled)
- change_by_dir = true - uses gap dir base colors (2 colors + optional modifiers, up to 8 colors if volume and/or large filters are enabled)
- both change_by_type and change_by_dir = true - uses both gap type and dir base colors (4 colors + optional modifiers, up to 16 colors if volume and/or large filters are enabled)
- both change_by_type and change_by_dir = false - uses a single base gap color (1 color)
- don't need that much colors - disable filters
- highlight bars has priority over individual gap flags, when it is false all gaps are hidden regardless of their corresponding flag settings (does not affect dim weekend gaps)
- show chars has priority over individual gap char flags, when it is false all char flags are hidden regardless of their corresponding flag settings
- price gaps are only shown/counted when show_price_gaps flag is true. The large or volume filters can be used to narrow down results further.
- time gaps are only shown/counted when show_time_gaps flag is true. The large, volume, and timerange filters can be used to narrow down results further.
- doji gaps are only shown/counted when show_doji_gaps flag is true. The doji candle size and other filters can be used to narrow down results further.
- show weekend gaps = true and dim weekend gaps = false - shows/counts weekend gaps
- show weekend gaps = true and dim weekend gaps = true - dims weekend gaps, doesn't show/count weekwend gaps
- show/dim weekend gaps do just that - show the gap if it happens on a weekend, not all weekends
- large gaps are only shown/counted when the large filter is enabled != 0. positive values 5 (>= 5), negative -5 (<=5) are used to switch between <>
- volume gaps are only shown/counted when the volume filter is enabled != 0. positive values 5 (>= 5), negative -5 (<=5) are used to switch between <>
- timerange gaps are only shown/counted when the timerange filter is enabled != 0. positive values 5 (>= 5), negative -5 (<=5) are used to switch between <>
- candle size gaps are only shown/counted when the candle size filter is enabled != 0. positive values 5 (>= 5), negative -5 (<=5) are used to switch between <>
- candle size filter is the only filter with 2 arguments, use_and_for_delta to enable AND condition for the args (OR is the default)
Good Luck! Feel free to explore and learn from the code
Murrey Math Extremes ComparatorHOW IT WORKS
Creates two murrey math oscillators (hidden) one with 256 length another with 32 length and compare each other.
WHAT GIVE ME THIS SCRIPT
The script can give you very valuable information:
- Main Trend
- Pullbacks detections
- Extreme overbought oversold prices alerts
- Divergences
- Any timeframe usage
REFERENCES OF USAGE
Main Trend Indications
****The main trend is indicated with green(bull) or red(bears) small "triangles" on the bottom(bull) or the top(bears) of the chart.
*****To detect the Bull/Bear major trend the script use 256 murrey, if > 0 (green) we are uptrend in other cases we are downtrend
Pullback detection
****The pullbacks are indicated with Green(bull) or red(bears) medium "Arrows"
*****To detect pullbacks the system compare the long term murrey with the short term murrey, if long term is Green(green triangles)
*****so we are in a main bull trend, if the short term murrey make an extreme low then the pullback is indicated
*****The same for the short pullback, if long term murrey is RED and we have an extreme green short term murrey we shot a red arrow
Extreme Overbught/Oversold
****The extreme OO is indicated with fancy diamonds
*****To detect the Extremes price movements we combine the two murrey, if Long Term Murrey is overbought and short term murrey too
*****Then the diamond show on the screen obove or below based on the extreme if overbought or oversold
Strategy Resume:
Triangles indicate Major Trend Up/Down
Arrows Indicate Continuation pullbacks
Diamonds Indicate Extreme Prices
GUIDE HOW TO IMAGES
How it's works Behind Scene
Kay_BBandsV3This is the 3rd version of Kay_BBands.
When +DI (Directional Index ) is above -DI , then Upper band will be visible and vice-versa.
This is when the ADX is above the threshold. 28 is the default in this version. I found its more appealing in 5M time frame.
BLUE - ADX under 10
GREEN - Uptrend, ADX over 10
RED - Downtrend, ADX over 10
Use it with another band with setting 20, 0.6 deviation. Prices keeping above or below the 2nd bands upper or lower bounds shows trending conditions.
I didn't know how to update the old script so published it again.
Changes - :
1) Updated default settings for the indicator
2) ADX setting are now DI (28), ADX (10), adx level to check is 10.
3) IMPORTANT one - When DI is up/down, lower/upper band will also have color (more visible that way.)
Play around the settings.. It really eliminates extra indicator checking visually... Please like if you think idea is good.
CM ATR PercentileRankCM ATR PercentileRank - Great For Showing Market Bottoms.
When Increased Volatility to the Downside Reaches Extreme Levels it’s Usually a Sign of a Market Bottom.
This Indicator Takes the ATR and uses a different LookBack Period to calculate the Percentile Rank of ATR Which is a Great Way To Calculate Volatility
Be Careful Of Using w/ Market Tops. Not As Reliable.
***Ability to Control ATR Period and set PercentileRank to Different Lookback Period
***Ability to Plot Histogram Just Showing Percentiles or Histogram Based on Up/Down Close
Fuchsia Lines = Greater Than 90th Percentile of Volatility based on ATR and LookBack Period.
Red Lines = Warning — 80-90th Percentile
Orange Lines = 70-80th Percentile
Other Useful Indicators
Williams Vix Fix
CM_RSI EMA Is a Great Filter for Williams Vix Fix
Impulse Trend Suite (LITE) v4🚀 Impulse Trend Suite (LITE) — v4
Smart trend visualization with precise flip arrows. A lightweight, momentum-filtered trend tool designed to stay clean, avoid repeated signals, and keep you focused only on real market direction.
📌 Core Features
Trend flip arrows (no spam, 1 signal per turn)
Continuous background zones (gap-free trend shading)
Adaptive Baseline + ATR structure channel
RSI + MACD momentum filter (suppresses weak signals)
Trend Status Panel (UP, DOWN, NEUTRAL)
🔍 Quick Guide
BUY setup = green arrow + green background
SELL setup = red arrow + red background
Stay in the move while color doesn’t change
ATR channel helps avoid chasing overextended candles
========================================================
📈 Works on Forex, Stocks, Crypto, Indices, Metals
⌚ Scalping • Intraday • Swing • Long-term
==========================================================
⚠️ Backtest before trading live.
Happy trading and many pips!
Candle Pattern Library [1CG]Candle Pattern Library
A comprehensive and easy-to-use Pine Script™ library for detecting single, two, and three-candle patterns. This library provides detailed pattern analysis including size classification, direction validation, and specific pattern identification.
Quick Start
1. Import the Library
import OneCleverGuy/CandlePatternLibrary/1 as CPL
2. Analyze Candles
Use the main analysis functions to detect patterns. You can analyze the current forming candle or confirmed historical candles.
// 1. Analyze candles (Current , Previous , and the one before )
// Note: We use full variable names for clarity.
CandleData candleNewest = CPL.analyzeCandle(open, high, low, close, 250, 50, 10, 50, 85)
CandleData candleMiddle = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85)
CandleData candleOldest = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85)
// 2. Analyze multi-candle patterns
// Pass candles in chronological order: Oldest -> Newest
var twoCandleData = CPL.analyzeTwoCandlePattern(candleMiddle, candleNewest, 10, 85)
var threeCandleData = CPL.analyzeThreeCandlePattern(candleOldest, candleMiddle, candleNewest)
Enums Reference
These are the Enum Types exported by the library. When checking results, use the pattern Alias.EnumType.Value (e.g., CPL.CandlePattern.Hammer).
CandlePattern
Enum Type for single-candle formations.
Usage: CPL.CandlePattern.
Values:
Unknown : No specific pattern detected.
RegularBullish : A standard bullish candle.
RegularBearish : A standard bearish candle.
BullishMarubozu : Bullish candle with little to no wicks.
BearishMarubozu : Bearish candle with little to no wicks.
Hammer : Small body at the top of the range (bullish reversal).
ShootingStar : Small body at the bottom of the range (bearish reversal).
SpinningTop : Small body centered in the range.
Doji : Open and close are effectively equal.
LongLeggedDoji : Doji with long upper and lower wicks.
CrossDoji : Doji with the body in the upper section.
DragonflyDoji : Doji where open/close are at the high.
InvertedCrossDoji : Doji with the body in the lower section.
GravestoneDoji : Doji where open/close are at the low.
FourPriceDoji : Open, High, Low, and Close are all equal.
TwoCandlePattern
Enum Type for two-candle formations.
Usage: CPL.TwoCandlePattern.
Values:
None : No two-candle pattern detected.
BullishEngulfingWeak : Bullish candle engulfs the previous body (close does not engulf range).
BullishEngulfingStrong : Bullish candle completely engulfs the previous body close outside range.
BearishEngulfingWeak : Bearish candle engulfs the previous body.
BearishEngulfingStrong : Bearish candle completely engulfs the previous body.
InsideBar : The second candle is completely contained within the first.
TweezerTop : Two candles with matching highs (bearish reversal).
TweezerBottom : Two candles with matching lows (bullish reversal).
BullishRailRoad : Two opposite Marubozus (Down -> Up).
BearishRailRoad : Two opposite Marubozus (Up -> Down).
ThreeCandlePattern
Enum Type for three-candle formations.
Usage: CPL.ThreeCandlePattern.
Values:
None : No three-candle pattern detected.
ThreeWhiteSoldiers : Three consecutive bullish candles.
ThreeBlackCrows : Three consecutive bearish candles.
ThreeWhiteSoldiersWithBullishFVG : Three White Soldiers containing a Bullish FVG.
ThreeWhiteSoldiersWithBearishFVG : Three White Soldiers containing a Bearish FVG.
ThreeBlackCrowsWithBullishFVG : Three Black Crows containing a Bullish FVG.
ThreeBlackCrowsWithBearishFVG : Three Black Crows containing a Bearish FVG.
MorningStar : Bearish -> Small/Doji -> Bullish (Bullish Reversal).
EveningStar : Bullish -> Small/Doji -> Bearish (Bearish Reversal).
BullishAbandonedBaby : Morning Star with gaps between all candles.
BearishAbandonedBaby : Evening Star with gaps between all candles.
EngulfingSandwich : Bearish -> Bullish (Engulfing) -> Bearish (Inside).
BullishFairValueGap : A gap between Candle 1 High and Candle 3 Low.
BearishFairValueGap : A gap between Candle 1 Low and Candle 3 High.
CandleSize
Enum Type for candle size classification.
Usage: CPL.CandleSize.
Values:
Short
Normal
Long
CandleDirection
Enum Type for candle direction classification.
Usage: CPL.CandleDirection.
Values:
Bearish
Neutral
Bullish
Function Reference
Analysis Functions
analyzeCandle(_open, _high, _low, _close, _avgSize, _sizeThresholdPct, _equivTolerance, _bodyTolerance, _positionThreshold)
analyzeCandle - Analyzes a single candle's OHLC data to determine its size, direction, and single-candle pattern.
Parameters:
_open (float) : (float) - Candle open price.
_high (float) : (float) - Candle high price.
_low (float) : (float) - Candle low price.
_close (float) : (float) - Candle close price.
_avgSize (float) : (float) - Baseline size (wick range) to compare against.
_sizeThresholdPct (float) : (float) - % difference from average to be considered Long/Short (e.g., 50.0).
_equivTolerance (float) : (float) - Absolute price diff for Close to equal Open (Doji checks).
_bodyTolerance (float) : (float) - Absolute price diff for "Small Body" checks.
_positionThreshold (int) : (int) - Int (0-100) determining valid wick ratios for Hammers/Shooting Stars (e.g., 85).
Returns: (CandleData) - CandleData object containing CandlePattern, CandleSize, CandleDirection.
analyzeTwoCandlePattern(_candle1, _candle2, _equivTolerance, _positionThreshold)
analyzeTwoCandlePattern - Analyzes two consecutive candles to find pairs like Engulfing, Tweezers, or Inside Bars.
Parameters:
_candle1 (CandleData) : (CandleData) - The first (older) candle data (previous).
_candle2 (CandleData) : (CandleData) - The second (newer) candle data (current).
_equivTolerance (float) : (float) - Price tolerance for matching highs/lows (Tweezers).
_positionThreshold (int) : (int) - Threshold for wick validations.
Returns: (TwoCandleData) - TwoCandleData object containing TwoCandlePattern.
analyzeThreeCandlePattern(_candle1, _candle2, _candle3)
analyzeThreeCandlePattern - Analyzes three consecutive candles to find complex patterns like Morning Stars, Abandoned Babies, or Three White Soldiers.
Parameters:
_candle1 (CandleData) : (CandleData) - The first (oldest) candle data.
_candle2 (CandleData) : (CandleData) - The second (middle) candle data.
_candle3 (CandleData) : (CandleData) - The third (newest) candle data.
Returns: (ThreeCandleData) - ThreeCandleData object containing ThreeCandlePattern.
Naming Utilities
getPatternName(_pattern)
getPatternName - Returns the string name of a candle pattern.
Parameters:
_pattern (CandlePattern) : (CandlePattern) - The candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Hammer").
getTwoCandlePatternName(_pattern)
getTwoCandlePatternName - Returns the string name of a two-candle pattern.
Parameters:
_pattern (TwoCandlePattern) : (TwoCandlePattern) - The two-candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Bullish Engulfing").
getThreeCandlePatternName(_pattern)
getThreeCandlePatternName - Returns the string name of a three-candle pattern.
Parameters:
_pattern (ThreeCandlePattern) : (ThreeCandlePattern) - The three-candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Morning Star").
getSizeName(_size)
getSizeName - Returns the string name of a candle size.
Parameters:
_size (CandleSize) : (CandleSize) - The candle size enum value.
Returns: (string) - Human-readable size name ("Short", "Normal", or "Long").
getDirectionName(_direction)
getDirectionName - Returns the string name of a candle direction.
Parameters:
_direction (CandleDirection) : (CandleDirection) - The candle direction enum value.
Returns: (string) - Human-readable direction name ("Bullish", "Bearish", or "Neutral").
ORB Pressure (Futures) Your TradingView script is an ORB “pressure + confirmation” indicator built for futures that anchors the Opening Range to the NY cash open and then manages the day in three phases. First, it constructs the Opening Range high/low starting at 09:30 NY for a user-selectable duration (3/5/15/30/60 minutes) and draws those levels forward on the chart. Second, once the range is set, it computes a real-time break likelihood score (0–100) plus a directional lean (UP/DOWN/NEUTRAL) using a blend of factors traders care about: proximity to the OR edges, ATR-based compression, repeated “touches” near ORH/ORL, EMA stacking and VWAP positioning/slope, and relative volume vs a baseline. Third, it enforces a clean signal structure: it triggers a one-shot event only when a candle closes outside ORH/ORL, logs the break details (direction, price, ticks beyond the range, and time), and prevents repeat firing; however, if price closes back inside the range within a configurable number of candles, the script treats it as a failed break and resets so it can re-arm. A compact dashboard displays the live state (building/set/armed), score, lean, and it preserves the break statistics after a trigger so you can review the day’s breakout behavior at a glance.
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME
Density Zones (GM Crossing Clusters) + QHO Spin Flips
OVERVIEW
This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements*
1) Density Zones (GM Crossing Clusters)
A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction.
2) QHO Spin Flips (Regression-Residual σ Breaches)
A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling.
These two systems are related but not identical:
- Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM).
- Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance.
CORE CONCEPTS AND FORMULAS
SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM)
We define two moving averages:
(1) MA1_t = SMA(close_t, L1)
(2) MA2_t = SMA(close_t, L2)
We define the equilibrium anchor as the geometric mean of MA1 and MA2:
(3) GM_t = sqrt( MA1_t * MA2_t )
This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.”
SECTION B — CROSS EVENTS (UP/DOWN)
A “cross event” is registered when the sign of (close - GM) changes:
Define a sign function s_t:
(4) s_t =
+1 if close_t > GM_t
-1 if close_t < GM_t
s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips)
Then define the crossing event indicator:
(5) crossEvent_t = 1 if s_t != s_{t-1}
0 otherwise
Additionally, the indicator plots explicit cross markers:
- Cross Above GM: crossover(close, GM)
- Cross Below GM: crossunder(close, GM)
These provide directional visual cues and match the original Geometric Mean Indicator behavior.
SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT)
A Density Zone is based on the number of cross events occurring in the last W bars:
(6) D_t = Σ_{i=0..W-1} crossEvent_{t-i}
This is a “crossing density” score: how many times price has toggled across GM recently.
The script implements this efficiently using a cumulative sum identity:
Let x_t = crossEvent_t.
(7) cumX_t = Σ_{j=0..t} x_j
Then:
(8) D_t = cumX_t - cumX_{t-W} (for t >= W)
cumX_t (for t < W)
SECTION D — DENSITY ZONE TRIGGER
We define a Density Zone state:
(9) isDZ_t = ( D_t >= θ )
where:
- θ (theta) is the user-selected crossing threshold.
Zone edges:
(10) dzStart_t = isDZ_t AND NOT isDZ_{t-1}
(11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1}
SECTION E — DENSITY ZONE BOUNDS
While inside a Density Zone, we track the running high/low to display zone bounds:
(12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t
(13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t
On dzStart:
(14) dzHi_t := high_t
(15) dzLo_t := low_t
Outside zones, bounds are reset to NA.
These bounds visually bracket the “singularity span” (the churn envelope) during each density episode.
SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE)
Define the regression equilibrium (LSR):
(16) m_t = linreg(close_t, L, 0)
This is the “centerline” the QHO system uses as equilibrium.
SECTION G — RESIDUAL AND σ (FIELD WIDTH)
Residual:
(17) r_t = close_t - m_t
Rolling standard deviation of residuals:
(18) σ_t = stdev(r_t, L)
This σ_t is the local volatility/width of the residual field around the regression equilibrium.
SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP
Define the standardized displacement:
(19) Y_t = (close_t - m_t) / σ_t
(If σ_t = 0, the script safely treats Y_t = 0.)
Spin Flip trigger uses a user threshold κ:
(20) spinFlip_t = ( |Y_t| > κ )
Directional spin flips:
(21) spinUp_t = ( Y_t > +κ )
(22) spinDn_t = ( Y_t < -κ )
The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal).
SECTION I — QHO BANDS (OPTIONAL VISUALIZATION)
The indicator optionally draws the standard σ-bands around the regression equilibrium:
(23) 1σ bands: m_t ± 1·σ_t
(24) 2σ bands: m_t ± 2·σ_t
(25) 3σ bands: m_t ± 3·σ_t
These provide immediate context for the Spin Flip events.
WHAT YOU SEE ON THE CHART
1) MA1 / MA2 / GM lines (optional)
- MA1 (blue), MA2 (red), GM (green).
- GM is the equilibrium anchor for Density Zones and cross markers.
2) GM Cross Markers (optional)
- “GM↑” label markers appear on bars where close crosses above GM.
- “GM↓” label markers appear on bars where close crosses below GM.
3) Density Zone Shading (optional)
- Background shading appears while isDZ_t = true.
- This is the period where the crossing density D_t is above θ.
4) Density Zone High/Low Bounds (optional)
- Two lines (dzHi / dzLo) are drawn only while in-zone.
- These bounds bracket the full churn envelope during the density episode.
5) QHO Bands (optional)
- 1σ, 2σ, 3σ shaded zones around regression equilibrium.
- These visualize the current variance field.
6) Regression Equilibrium (LSR Centerline)
- The white centerline is the regression equilibrium m_t.
7) Spin Flip Markers
- A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold).
- Marker size is user-controlled (tiny → huge).
HOW TO USE IT
Step 1 — Pick the equilibrium anchor (GM)
- L1 and L2 define MA1 and MA2.
- GM = sqrt(MA1 * MA2) becomes your equilibrium boundary.
Typical choices:
- Faster equilibrium: L1=20, L2=50 (default-like).
- Slower equilibrium: L1=50, L2=200 (macro anchor).
Interpretation:
- GM acts like a “center of mass” between two moving averages.
- Crosses show when price flips from one side of equilibrium to the other.
Step 2 — Tune Density Zones (W and θ)
- W controls the time window measured (how far back you count crossings).
- θ controls how many crossings qualify as a “density/singularity episode.”
Guideline:
- Larger W = slower, broader density detection.
- Higher θ = only the most intense churn is labeled as a Density Zone.
Interpretation:
- A Density Zone is not “bullish” or “bearish” by itself.
- It is a condition: repeated equilibrium toggling (high churn / high compression).
- These often precede expansions, but direction is not implied by the zone alone.
Step 3 — Tune the QHO spin flip sensitivity (L and κ)
- L controls regression memory and σ estimation length.
- κ controls how extreme the displacement must be to trigger a spin flip.
Guideline:
- Smaller L = more reactive centerline and σ.
- Larger L = smoother, slower “field” definition.
- κ=3.0 = strong extreme filter.
- κ=2.0 = more frequent flips.
Interpretation:
- Spin flips mark when price exits the “normal” residual field.
- In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium.
Step 4 — Read the combined behavior (your key thesis)
A) Density Zone forms (GM churn clusters):
- Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope.
- dzHi/dzLo show the envelope range.
B) Expansion occurs:
- Price can release away from the density envelope (up or down).
- If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ).
C) Re-coherence:
- After a spin flip, price often returns toward equilibrium structures:
- toward the regression centerline m_t
- and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior.
- The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes.
IMPORTANT NOTES / DISCLAIMERS
- This indicator is an analytical overlay. It does not provide financial advice.
- Density Zones are condition states derived from GM crossing frequency; they do not predict direction.
- Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute.
- All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime.
PARAMETER SUMMARY
Geometric Mean / Density Zones:
- L1: MA1 length
- L2: MA2 length
- GM_t = sqrt(SMA(L1)*SMA(L2))
- W: crossing-count lookback window
- θ: crossing density threshold
- D_t = Σ crossEvent_{t-i} over W
- isDZ_t = (D_t >= θ)
- dzHi/dzLo track envelope bounds while isDZ is true
QHO / Spin Flips:
- L: regression + residual σ length
- m_t = linreg(close, L, 0)
- r_t = close_t - m_t
- σ_t = stdev(r_t, L)
- Y_t = r_t / σ_t
- spinFlip_t = (|Y_t| > κ)
Visual Controls:
- toggles for GM lines, cross markers, zone shading, bounds, QHO bands
- marker size options for GM crosses and spin flips
ALERTS INCLUDED
- Density Zone START / END
- Spin Flip UP / DOWN
- Cross Above GM / Cross Below GM
SUMMARY
This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe)
Local timeframe (your chart TF):
Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable).
Each cloud is:
One short EMA and one long EMA.
A filled band between them.
Color logic:
Cloud is bullish when short EMA > long EMA (green/blue-ish tone).
Bearish when short EMA < long EMA (red/orange/pink tone).
You can choose:
EMA vs SMA,
Whether to show the lines,
Per-cloud toggles.
MTF Clouds:
Two higher-timeframe EMA clouds:
Cloud 1: 50/55
Cloud 2: 20/21
Computed on a higher TF (default D, but configurable).
Show as thin lines + transparent bands.
Used for:
Visual higher-TF trend,
Optional signal filter (MTF must agree for trades).
2. Saty Pivot Ribbon (time-warped EMAs)
This is basically your Saty Pivot Ribbon integrated:
Uses a “Time Warp” setting to overlay EMAs from another timeframe.
EMAs:
Fast, Pivot, Slow (defaults 8 / 21 / 34).
Clouds:
Fast cloud between fast & pivot EMAs.
Slow cloud between pivot & slow EMAs.
Bullish/bearish colors are distinct from Ripster colors.
Optional highlights:
Can highlight fast/pivot/slow lines separately.
Conviction EMAs:
13 and 48 EMAs (configurable).
When fast conviction EMA crosses over/under slow:
You get triangle arrows (bullish/bearish conviction).
Bias candles:
If enabled, candles are recolored based on:
Price vs Bias EMA,
Candle up/down/doji,
So you see bullish/bearish “bias” directly in candle colors.
3. DTR vs ATR panel (range vs average)
In a small table panel (bottom-center by default):
Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable).
Measures current range (high–low) on that TF.
Displays:
DTR: X vs ATR: Y Z% (+/-Δ% vs prev)
Where:
Z% = current range / ATR * 100.
Δ% = change vs previous bar’s Z%.
Background color:
Greenish for low move (<≈70%),
Red for high move (≥≈90%),
Yellow in between,
Slightly dimmed when price is below bias EMA.
This tells you: “Is today an average, quiet, or explosive day compared to normal?”
4. SMA Divergence panel
Separate histogram & line panel:
Fast and slow SMAs (default 14 & 30).
Computes price divergence vs SMA in %:
% above/below slow SMA,
% above/below fast SMA.
Shows:
Slow SMA divergence as a semi-transparent column,
Fast SMA divergence as a solid column on top,
EMA of the slow divergence (trend line) colored:
Blue when rising,
Orange/red when falling.
Static upper/lower bands with fill, plus optional zero line.
This gives you a feel for how stretched price is vs its anchors.
5. RVOL table (relative volume)
Small 3×2 table (bottom-right by default):
Inputs:
Average length (default 50 bars),
Optionally show previous candle RVOL.
Calculates:
RVOL now = volume / avg(volume N bars) * 100,
RVOL prev,
RVOL momentum (now – prev) for data window only.
Table columns:
Candle Vol,
RVOL (Now),
RVOL (Prev).
Colors:
200% → “high RVOL” color,
100–200% → “medium RVOL” color,
<100% → “low RVOL” color,
Slightly dimmer if price is below bias EMA.
This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold).
6. Trend Dashboard (Price + 34/50 + 5/12)
Top-right trend box with 3 rows:
Price Action row:
Uses either Bias EMA or custom EMA on close to say:
Bullish (close > trend EMA),
Bearish (close < trend EMA),
Flat.
Ripster 34/50 Cloud row:
Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50.
Ripster 5/12 Cloud row:
Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12.
Then it does a vote:
Counts bullish votes (Price, 34/50, 5/12),
Counts bearish votes,
Depending on mode:
Majority (2 of 3) or Strict (3 of 3).
Output:
Overall Bullish / Bearish / Sideways.
You also get an optional label on the chart like
Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear).
7. VWAP + Buy/Sell Signals
VWAP is plotted as a white line.
Fast “trend” cloud mid: average of 5 & 12 EMAs.
Slow “trend” cloud mid: average of 34 & 50 EMAs.
Buy condition:
5/12 crosses above 34/50 (bullish cloud flip),
Price > VWAP,
Optional filter: MTF Cloud 1 bullish (50/55 on higher TF),
Optional filter: RVOL >= threshold.
Sell condition:
5/12 crosses below 34/50,
Price < VWAP,
Optional same filters but bearish.
When conditions are met:
Plots BUY triangle up below price (distinct teal/green tone).
Plots SELL triangle down above price (distinct magenta/orange tone).
Alert conditions are defined for:
BUY / SELL signals,
Overall Bullish / Bearish / Sideways change,
MTF Cloud 1 trend flips.
8. Data Window metrics
For easy backtesting / inspection via TradingView’s data window, it exposes:
DTR% (Current) and DTR% Momentum,
RVOL% (Now), RVOL% (Prev), RVOL% Momentum.
TL;DR – What does this script do for you?
It turns your chart into a multi-framework trend and momentum dashboard:
Ripster EMA clouds for short/medium trend & S/R.
Saty Ribbon for higher-TF pivot structure and conviction.
RVOL + DTR/ATR for context (is this a big and well-participated move?).
SMA divergence panel for overextension/stretch.
A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance.
Buy/Sell markers + alerts when:
short-term Ripster trend (5/12) flips over/under medium (34/50),
price agrees with VWAP,
plus optional filters (MTF trend and / or RVOL).
Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
Gold Sniper V21: M15 Holding MasterGold Sniper Entry (Follow Trend to enter)
My Indicator :
- Clarify the M30 in Up/Down Trend
- Only entry the trade in M1/M5 Timeframe to make a Sniper Entry.
- Indicator will show when to TP before the Trend Change
Momentum Candle by DNDFXMomentum Candle v2 is a simple yet powerful indicator designed to detect strong momentum candles based on candle body size and the ratio between the body and total wick.
This indicator is ideal for traders who focus on:
Momentum trading
Breakout strategies
XAUUSD (Gold) scalping
Supply & Demand / Smart Money Concepts (SMC) confirmation
🔧 How the Indicator Works
The indicator analyzes each candle and classifies it as a Bullish Momentum or Bearish Momentum candle when these conditions are met:
✅ The candle body exceeds the minimum size
✅ The total wick is smaller compared to the body
✅ The Body-to-Wick ratio meets the strength filter
Visual signals include:
Green background for bullish momentum
Red background for bearish momentum
Up/Down triangle markers as entry guidance
⚙️ Customizable Parameters
Min Body Size (Points) – Sets the minimum candle body size
Min Body : Wick Ratio – Controls how dominant the body is compared to the wicks
All parameters can be optimized according to your trading style and timeframe.
✅ Best Use Cases
This indicator is useful for:
Breakout confirmation
Momentum validation
Filtering false breakouts
Scalping and intraday trading on XAUUSD
🧠 Trading Tips
For better accuracy, combine this indicator with:
Support & Resistance
Supply & Demand zones
Break of Structure (BOS) / CHoCH
Best performance on M5 – H1 timeframes.
⚠️ DISCLAIMER
This indicator is a supporting tool, not a guaranteed profit system. Always apply proper risk management. You are fully responsible for your trading decisions.
Gold Mastermind Pro v6EMA50 / EMA200 trend (UP / DOWN / FLAT)
VWAP + ATR + RSI filters for entries
ATR-based stop & 2R target
Risk-based position sizing with max 5 contracts
Cooldown in bars after each entry
Long arrows = baby blue, Short arrows = bright orange
Simple dashboard label showing trend, qty, stop & target
🟡 GOLD 4H HUD v8.9 — Loose ICT OB + Strong/Weak + FVG/HVN/LVNGOLD 4H HUD v8.9 is a clean, structured Smart Money Concepts (SMC)–based analysis tool designed exclusively for XAUUSD on the 4-hour timeframe.
It focuses on the three most important elements for institutional orderflow analysis:
✔ Loose ICT Order Blocks (Demand/Supply)
✔ Fair Value Gaps (FVG)
✔ Volume Profile Zones (HVN/LVN/POC)
The script builds a professional-style HUD that displays the key institutional regions and structural levels that matter most for gold traders.
📌 Key Features
1 — Market Structure Engine (HH/HL & BOS)
The indicator detects:
Minor swing Highs and Lows
Last confirmed HH / HL levels
Break of Structure (BOS) for directional bias
EMA-200 trend filter (UP / DOWN / NEUTRAL)
This gives traders a clean structural read without clutter or noise.
2 — Loose FVG Engine (Tolerance-Based ICT Gaps)
A soft-threshold FVG engine detects “loose” Fair Value Gaps using a 0.1% price tolerance.
This method ensures:
Fewer missed imbalances
Cleaner OB/FVG alignment
Higher accuracy on 4H gold displacement legs
FVGs automatically shift to the right side of the chart for clean visualization.
3 — Order Block Engine (Demand/Supply + Strong/Weak Classification)
A simplified ICT-style OB engine scans the past few candles whenever BOS is detected.
It identifies:
Demand OB during bullish BOS
Supply OB during bearish BOS
Strong OB if fully nested inside an active FVG
Weak OB otherwise
OB boxes include:
Clear color coding (strong vs. weak)
Price range labels inside each box
Automatic right-shift for visual clarity
4 — Volume Profile Engine (POC / HVN / LVN / VAH / VAL)
Based on a rolling window (default 120 bars), the script builds a lightweight volume distribution.
It displays:
POC (Point of Control)
HVN (High Volume Node)
LVN (Low Volume Node)
Value Area High / Low
HVN/LVN zones are shown as right-shifted colored boxes with price labels.
These zones help identify:
Institutional accumulation
Low-liquidity rejection points
Areas where price tends to react strongly
5 — Support / Resistance Mapping
The script automatically generates:
OB-based support/resistance
Swing-high/swing-low levels
HVN/LVN structural levels
These are displayed in the HUD for fast reference.
6 — Professional HUD Panel
A compact, easy-to-read HUD summarizes:
Trend direction
Latest HH/HL
OB ranges (Strong/Weak)
HVN/LVN price zones
POC
Multi-layer support & resistance
This turns the script into a fully functional analysis dashboard.
📌 What This Indicator Is NOT
To avoid misunderstanding:
It does not take entries or generate buy/sell signals
It does not auto-detect CHOCH, MSS, SMT, or sweeps
It is not a trading bot
This tool is designed as an institutional-style map and analysis HUD, not a strategy.
📌 Best Use Case
This indicator is ideal for traders who want to:
Read institutional structure on XAUUSD
Identify clean Demand/Supply zones
Visualize FVG/OB/HVN interactions
Track high-value liquidity levels
Build directional bias on 4H before dropping to execution timeframes
⚠ Important Note
This tool is designed exclusively for the 4H timeframe.
Using it on lower timeframes will display a warning.
Execution Heatmap v4.1 — AI EnhancedThis indicator is an AI‑style execution dashboard that compresses structure, momentum, volume, volatility, and risk into a compact heatmap panel plus BUY/SELL signals on the chart. It is specifically tuned for gold and silver, automatically adapting its thresholds to the volatility profile of XAU/GC and XAG/SI symbols.
Core architecture
The system builds a multi‑factor model in layers:
Adaptive structure engine: Tracks dynamic higher‑high / lower‑low progression using rolling reference highs and lows, classifying price as structural UP, DOWN, or NEUTRAL.
Precision VWAP bias: Uses VWAP with a small threshold band to filter out noise and label price as ABOVE, BELOW, or neutral relative to value.
Impulse & angle: Combines short‑term rate of change and normalized slope (price vs ATR over 5 bars) to detect directional thrust, then clamps values into
for stable scoring.
Volume, wicks, and patterns
Adaptive volume tiers: Uses a 20‑bar volume average with gold/silver‑specific multipliers to tag candles as SURGE, HIGH, NORMAL, or LOW volume, with distinct coloring for extremes.
Wick analytics: Measures upper/lower wick size vs total range to detect demand/supply style rejections and encode them as bullish or bearish wick signals.
AI pattern score: Blends structure, VWAP, impulse, wicks, and angle into a normalized pattern score, then classifies it as STRONG↑, NEU↑, NEU, NEU↓, or STRONG↓ with color‑coded emphasis.
AI scoring and prediction layer
Predictive engine: Uses a neural‑network‑style weighted sum of structure, VWAP, impulse, wicks, angle, volume, and pattern to generate a prediction score in
, then converts it into a percentage and arrow (↑, ↑↑, ↓, ↓↓, →) for intuitive directional bias.
Execution score: Aggregates key factors into an EXEC score (0–200+ style scale), color‑graded from weak (red) through medium (orange) to strong (green) execution context.
Uncertainty & risk: Separately models uncertainty (low impulse/angle or low conviction) and risk (fake breaks, VWAP position, uncertainty tier, low volume), then feeds them into a combined confidence calculation.
Final signal & confidence
Final classification:
BUY: High exec score, high confidence, and controlled risk.
SELL: Very low exec score, low confidence in upside, and acceptable risk.
WAIT: All other conditions where edge or clarity is insufficient.
Confidence bar: A textual mini‑bar (🟩 blocks) plus percentage shows how strong the current signal environment is, making it easy to visually gauge setup quality at a glance.
Professional heatmap panel
A two‑column table in the top‑right of the chart organizes the logic into layers:
Base layer: STRUCT, VWAP, IMPULSE, VOLUME.
AI layer: FAKE, REGIME (Trend/Pullback/Reverse/Chop), ANGLE.
Decision layer: PATTERN, PREDICT, EXEC, RISK, CONF, and FINAL direction.
RVOL + Volume Z-Score (Textbook)This indicator is a relative-volume and “volume anomaly” dashboard designed to help you quickly spot when a ticker is actually in-play versus simply drifting on normal activity. It plots standard volume bars (colored by up/down candles) and overlays multiple optional smoothers of volume (SMA, LSMA/linear-regression MA, HMA, ALMA) so you can see whether participation is expanding or fading across different smoothing styles. It also calculates RVOL (current bar volume divided by the average volume over a user-defined lookback) and displays RVOL (and Z) in a small table for quick reference.
The core feature is a textbook volume z-score: Z=(V−SMA(V,N))/StDev(V,N)
This measures how far the current bar’s volume is from its recent average in standard-deviation units, making it easy to filter for genuinely unusual volume. The script plots mean + 1σ and mean + 2σ threshold bands and can highlight “anomaly” volume bars when Z exceeds your chosen σ thresholds (default 1σ for broader detection, with alerts available for 1σ/2σ). Use it as a participation filter: combine high RVOL / high Z with your price structure (key levels, VWAP, trend) to validate breakouts or identify high-conviction reversal/flush events.
