Accumulation/Distribution VolumeThis is a simple yet powerful indicator that can replace volume, Money Flow, Chaikin Money Flow, Price Volume Trend (PVT), Accumulation/Distribution Line (ADL), On Balance Volume (OBV).
When "Baseline Chart" option is disabled, it looks similar to regular volume. The volume bars has two shades of green and red. The dark shade shows amount of accumulation and the light shade shows total volume (what you see on a regular volume indicator). Blue line is the moving average (or cumulative total) of A/D and the gray line is for total volume.
When money volume is enabled, volume it multiplied by price. As you can see in the chart below, trade volume in terms of USD was declining after ATH. This is not the case in regular volume chart which shows instrument volume (chart above).
In Baseline view, the aggregation method you choose can turn it into different indicators. With EMA/SMA aggregation, blue and gray line shows buy/sell pressure. At 0, there is not buy or sell pressure.
If you turn off volume bars (from style menu), it gives you a reliable indicator to measure divergence. This should be more reliable than most other range-bound indicators (i.e. RSI, MFI, CMF). I will publish a TA about correctly measuring divergence (it's a must read even if you are a pro trader). Make sure that the length is set to a large number on smaller TFs such as 4h.
For following results, set aggregation to cumulative and turn off money volume:
When wick weight=0, the GRAY line is identical to OBV indicator.
When normalized by spread and wick weight=10, the BLUE line is identical to ADL (improved by true range).
When normalized by previous bar price, wick weight=0, the BLUE line is identical to PVT.
How I use this indicator:
- Baseline chart, replaced my regular volume indicator
- Mostly 4h TF for divergence
- EMA aggregation (and occasional cumulative aggregation) with length above 50. I change the length to 100 and 200 for confirmation.
- Wick weight=0 or max 2.
With this indicator, you can learn how different indicators are built and how they are different from each other. I will publish a TA to explain more about different indicators and their pros and cons.
I will publish this indicator without volume bars and additional options to make it range bound.
Cari dalam skrip untuk "Divergence"
CCI Multi-TimeframeThe Commodity Channel Index (CCI) is a leading oscillating momentum indicator that was developed by Donald Lambert to identify cyclical turns in commodities but can also be used on securities and bonds as well.
HOW IS IT USED ?
Lambert used the CCI to generate entry and exit signals when the CCI moved above +100% and below -100% respectively. When the CCI moves above +100%, the security enters into a strong uptrend and an entry signal is given. When the CCI moves back below +100% this position should be closed. Conversely, when the CCI moves below -100%, the security enters into a strong downtrend and an exit signal is given. When the CCI moves back above -100% this position should be closed.
In addition, an entry signal is given when the CCI bounces off of the zero line. When the CCI reaches the zero line, the security's average price is at the moving average used to calculate the CCI and when a security bounces off its moving average it is considered a good entry position as the security has pulled back to its short-term support with the bounce reaffirming the current trend.
The CCI can also be used to identify overbought and oversold levels. A security could be considered oversold when the CCI moves below -100 and overbought when it moves above +100. From an oversold level, an entry signal may be given when the CCI moves above -100. From an overbought level, an exit signal might be given when the CCI moves below +100.
Divergences can also be applied to the CCI. A positive divergence below -100 would increase the probability of a signal based on a move above -100, and a negative divergence above +100 would increase the probability of a signal based on a move back below +100.
Trend line breaks can be used to generate entry and exit signals. Trend lines can be drawn connecting the peaks and troughs. From oversold levels, a move above -100 and a trend line breakout could be used as an entry signal. Conversely, from overbought levels, a move below +100 and a trend line breakout could be used as an exit signal.
I added the possibility to add on the chart a 2nd timeframe for confirmation.
If you found this script useful, a tip is always welcome... :)
Absolute Price Oscillator (APO) Histogram The Absolute Price Oscillator displays the difference between two exponential
moving averages of a security's price and is expressed as an absolute value.
How this indicator works
APO crossing above zero is considered bullish, while crossing below zero is bearish.
A positive indicator value indicates an upward movement, while negative readings
signal a downward trend.
Divergences form when a new high or low in price is not confirmed by the Absolute Price
Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
forms a higher low. This indicates less downward momentum that could foreshadow a bullish
reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
lower high. This shows less upward momentum that could foreshadow a bearish reversal.
Absolute Price Oscillator (APO) Backtest The Absolute Price Oscillator displays the difference between two exponential
moving averages of a security's price and is expressed as an absolute value.
How this indicator works
APO crossing above zero is considered bullish, while crossing below zero is bearish.
A positive indicator value indicates an upward movement, while negative readings
signal a downward trend.
Divergences form when a new high or low in price is not confirmed by the Absolute Price
Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
forms a higher low. This indicates less downward momentum that could foreshadow a bullish
reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
lower high. This shows less upward momentum that could foreshadow a bearish reversal.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Absolute Price Oscillator (APO) The Absolute Price Oscillator displays the difference between two exponential
moving averages of a security's price and is expressed as an absolute value.
How this indicator works
APO crossing above zero is considered bullish, while crossing below zero is bearish.
A positive indicator value indicates an upward movement, while negative readings
signal a downward trend.
Divergences form when a new high or low in price is not confirmed by the Absolute Price
Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
forms a higher low. This indicates less downward momentum that could foreshadow a bullish
reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
lower high. This shows less upward momentum that could foreshadow a bearish reversal.
Absolute Price Oscillator (APO) The Absolute Price Oscillator displays the difference between two exponential
moving averages of a security's price and is expressed as an absolute value.
How this indicator works
APO crossing above zero is considered bullish, while crossing below zero is bearish.
A positive indicator value indicates an upward movement, while negative readings
signal a downward trend.
Divergences form when a new high or low in price is not confirmed by the Absolute Price
Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
forms a higher low. This indicates less downward momentum that could foreshadow a bullish
reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
lower high. This shows less upward momentum that could foreshadow a bearish reversal.
Directional Volume IndexDirectional Volume Index (DVI) (buying/selling pressure)
This index is adapted from the Directional Movement Index (DMI), but based on volume instead of price movements. The idea is to detect building directional volume indicating a growing amount of orders that will eventually cause the price to follow. (DVI is not displayed by default)
The rough algorithm for the Positive Directional Volume Index (green bar):
calculate the delta to the previous green bar's volume
if the delta is positive (growing buying pressure) add it to an SMA, else add 0 (also for red bars)
divide these average deltas by the average volume
the result is the Positive Directional Volume Index (DVI+) (vice versa for DVI-)
Differential Directional Volume Index (DDVI) (relative pressure)
Creating the difference of both Directional Volume Indexes (DVI+ - DVI-) creates the Differential Directional Volume Index (DDVI) with rising values indicating a growing buying pressure, falling values a growing selling pressure. (DDVI is displayed by default, smoothed by a custom moving average)
Average Directional Volume Index (ADVX) (pressure strength)
Putting the relative pressure (DDVI) in relation to the total pressure (DVI+ + DVI-) we can determine the strength and duration of the currently building volume change / trend. For the DMI/ADX usually 20 is an indicator for a strong trend, values above 50 suggesting exhaustion and approaching reversals. (ADVX is not displayed by default, smoothed by a custom moving average)
Divergences of the Differential Directional Volume Index (DDVI) (imbalances)
By detecting divergences we can detect situations where e.g. bullish volume starts to build while price is in a downtrend, suggesting that there is growing buying pressure indicating an imminent bullish pullback/order block or reversal. (strong and hidden divergences are displayed by default)
Divergences Overview:
strong bull: higher lows on volume, lower lows on price
medium bull: higher lows on volume, equal lows on price
weak bull: equal lows on volume, lower lows on price
hidden bull: lower lows on volume, higher lows on price
strong bear: lower highs on volume, higher highs on price
medium bear: lower highs on volume, equal highs on price
weak bear: equal highs on volume, higher highs on price
hidden bear: higher highs on volume, lower highs on price
DDVI Bands (dynamic overbought/oversold levels)
Using Bollinger Bands with DDVI as source we receive an averaged relative pressure with stdev band offsets. This can be used as dynamic overbought/oversold levels indicating reversals on sharp crossovers.
Alerts
As of now there are no alerts built in, but all internal data is exposed via plot and plotshape functions, so it can be used for custom crossover conditions in the alert dialog. This is still a personal research project, so if you find good setups, please let me know.
CVD - Cumulative Volume Delta (Chart)█ OVERVIEW
This indicator displays cumulative volume delta (CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise volume delta information compared to methods that only use the chart's timeframe.
The core concepts in this script come from our first CVD indicator , which displays CVD values as plot candles in a separate indicator pane. In this script, CVD values are scaled according to price ranges and represented on the main chart pane.
█ CONCEPTS
Bar polarity
Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed.
Volume delta
Volume delta is a measure that separates volume into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume and market sentiment. There are several methods for determining whether an asset's volume belongs in the "up" or "down" category. Some indicators, such as On Balance Volume and the Klinger Oscillator , use the change in price between bars to assign volume values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the volume value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available.
In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating volume delta on historical bars. Our Volume Profile indicators use it as well. Other volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis.
This is the logic we use to assign intrabar volume to the "up" or "down" category:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume to produce the volume delta for the chart bar.
█ FEATURES
CVD resets
The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume delta accumulation, we can analyze the progression of volume delta across manageable chunks, which is often more useful than looking at volume delta accumulated from the beginning of a chart's history.
You can configure the reset period using the "CVD Resets" input, which offers the following selections:
• None : Calculations do not reset.
• On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.
• At a fixed time that you specify.
• At the beginning of the regular session .
• On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .
• On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules:
Chart TF HTF
< 1min 1H
< 3H 1D
<= 12H 1W
< 1W 1M
>= 1W 1Y
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Display
This script displays raw or cumulative volume delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume activity on each bar or cumulatively over time. The indicator's background shows where CVD resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings.
This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input.
Divergences occur when the polarity of volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs.
An information box in the lower-left corner of the indicator displays the HTF used for resets, the LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings.
FOR Pine Script™ CODERS
• This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.
The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .
The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.
• The script utilizes display.data_window and display.status_line to restrict the display of certain plots.
These new built-ins allow coders to fine-tune where a script’s plot values are displayed.
• The newly added session.isfirstbar_regular built-in allows for resetting the CVD segments at the start of the regular session.
• The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.
These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.
This functionality also enables the scaling of the oscillator zones.
These variables are just a couple of the many new built-ins available in the chart.* namespace.
For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .
• Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting CVD segments within this script.
Revisit the library to see more of the newly added content!
Look first. Then leap.
Library_RICHLibrary "Library_RICH"
TODO: add library description here
sum(x) TODO: add function description here
Parameters:
x : TODO: add parameter x description here
Returns: TODO: add what function returns
checkBuyReversal() : ckeck if there are buy reversal conditions (divergences) in rsi
insure that the bar count since the last pivot low is within the specified range (min- and max range)
ckeck if there is a higher-low in rsi and lower-low in the price
(doubel) ckeck if buy reversal condition is true
Parameters:
: : rsi value, pivot left lenght, pivot right lenght, min. and max. range
Returns: : two values: bar-reversal-condition (true) and pivot low if is true
checkBuyContinuation() : ckeck if there are buy cintinuation conditions (hidden divergences) in rsi
insure that the bar count since the last pivot low is within the specified range (min- and max range)
ckeck if there is a lower-low in rsi and higher-low in the price
(doubel) ckeck if buy continuation condition is true
Parameters:
: : rsi value, pivot left lenght, pivot right lenght, min. and max. range
Returns: : two results: bar-reversal-condition (true) and pivot low, if is true
checkSellReversal() : ckeck if there are sell reversal conditions (divergences) in rsi
insure that the bar count since the last pivot high is within the specified range (min- and max range)
ckeck if there is a lower-high in rsi and higher-high in the price
(doubel) ckeck if sell reversal condition is true
Parameters:
: : rsi value, pivot left lenght, pivot right lenght, min. and max. range
Returns: : two results: sell-reversal-condition (true) and pivot high, if is true
checkSellContinuation() : ckeck if there are sell cointunuation conditions (divergences) in rsi
insure that the bar count since the last pivot high is within the specified range (min- and max range)
ckeck if there is a higher-high in rsi and lower-high in the price
(doubel) ckeck if sell continuation condition is true
Parameters:
: : rsi value, pivot left lenght, pivot right lenght, min. and max. range
Returns: : two results: sell-continuation-condition (true) and pivot high, if is true
CMT's ProGo indicator v.2This was inspired by William's ProGo, which is an oscillator with a fast line based on today's open minus close compared to a slow line derived from yesterday's open minus close. These are tied to the 14 day SMA in both cases. William's hypothesis is that smart money makes its decisions based on what's happening now and dumb money makes their decisions slower. My hypothesis is that smart money reacts faster and in a more straightforward manner based on current price action while dumb money takes even longer than WIlliam's factored due to overthinking things. To reflect this, I've tied the pro line to the 1 SMA and the amateur line to the 21 SMA then changed the formula for the amateur line to open divided by close. That's a really cute story and all, but let's throw out all of the smart money/dumb money stuff and strap our boots to reality.
How to use:
1.) What we're looking at in the end is an examination of the relationship between price action and the 21 SMA. Since we're exploring rate of change and momentum, divergences should be relevant, right? And divergences are relevant in this indicator. These divergences are pretty good and tend to work in harmony with the trend, though can signal reversal points.
2.) This is not a real time oscillator. It involves three levels of derivation. Sometimes it'll provide leading signals and sometimes it'll show lagging signals because we're comparing the present against the past through a filter.
3.) I've noticed that this oscillator can be used to generate angled trend lines in some cases before they become evident through price action. This is interesting. What you'll do is slap some trend lines onto the oscillator, copy those then paste them onto the price action chart, copy them a few times to create a channel and see what's what. Horizontal support and resistance on the oscillator seems to translate into future price action S/R as well. THAT's interesting.
4.) On lower time frames, this indicator will do a pretty good job of letting you know whether you're in a bearish or bullish trend.
5.) Because of how the oscillator is formulated, it only recognizes Bitcoin as either bullish or ranging on higher time frames and will only ever register bearish on lower time frames. I don't think this will ever change, but if it does register BTC as bearish on higher time frames, I'd be real worried about Bitcoin.
6.) You'll notice that over time, volatility in the oscillator increases. Neat, huh? Yeah, it'll increase as market cap does. Take care and have fun with that.
v2.0 Improvements:
Divergences have been added.
Spread/Range Oscillator + Signal + HistogramThe Spread/Range Oscillator is a technical analysis tool designed to assess market momentum by evaluating the relationship between price movement and volatility.
Calculation
Spread: The difference between the closing and opening prices of a candle (close - open).
Range: The difference between the high and low prices of a candle (high - low).
Oscillator: The spread divided by the range (spread / range). This ratio provides a normalized measure of price movement within each candle.
Smoothed Oscillator: An Exponential Moving Average (EMA) applied to the oscillator over a user-defined period (Smoothing Length) to reduce noise.
Signal Line: An EMA of the Smoothed Oscillator over another user-defined period (Signal Line Length) to identify potential trend changes.
Histogram: The difference between the Smoothed Oscillator and the Signal Line (Smoothed Oscillator - Signal Line). Positive values suggest bullish momentum, while negative values indicate bearish momentum.
Inputs
Smoothing Length (EMA): Determines the period for smoothing the oscillator.
Signal Line Length (EMA): Sets the period for the EMA applied to the Smoothed Oscillator to generate the Signal Line.
Visual Representation
Smoothed Oscillator: Plotted as a line representing the smoothed momentum of price movements.
Signal Line: Displayed as a line serving as a reference to identify potential crossovers and trend changes.
Histogram: Rendered as bars, with positive values indicating bullish momentum and negative values indicating bearish momentum.
Zero Line: A horizontal line at zero to distinguish between bullish and bearish territories.
Applications
Momentum Analysis: Identify periods of strong buying or selling pressure based on the oscillator's position relative to the zero line.
Trend Confirmation: Use crossovers between the Smoothed Oscillator and Signal Line to confirm potential trend reversals or continuations.
Divergence Detection: Spot divergences between price action and the oscillator to anticipate possible market turning points.
This indicator is open-source and intended for educational purposes. It is recommended to use it in conjunction with other forms of analysis and risk management practices before making trading decisions.
stockan – Oscillator Matrixstockan – Oscillator Matrix
A multi-layer RSI-based momentum & trend tool with signal smoothing, short-segment regression lines, fade-style histogram, reversal markers, and a blocky heat-bar.
stockan is designed to give you a crystal-clear view of short-term momentum shifts and trend bias all in one pane. It builds upon the classic 0–100 RSI by:
Smoothing it with a quick SMA to generate a clean crossover signal.
Drawing tiny linear-regression segments on both RSI and its signal line to highlight the slope (i.e. local trend direction) over a handful of bars.
Filling between RSI and signal in green/red so you can instantly see when momentum flips.
Plotting a soft-fade histogram of (RSI – signal), where stronger moves produce more opaque bars, while smaller divergences fade into the background.
Marking local peaks and troughs on the RSI curve with dots—perfect for fine-tuning entries or exits.
Rendering a bottom “heat” strip as blocky columns that switch from red to green once RSI crosses your chosen threshold, giving you a persistent bias indicator.
🔧Inputs & Settings
You can customize every aspect of stockan in the Indicator Settings:
Price Source (default = Close)
Choose which price series (Open, High, Low, Close, or a custom series) you want the RSI to use.
Oscillator Length (RSI) (default = 14)
The look-back period for the RSI calculation. Shorter values make the oscillator more sensitive.
Signal Smoothing (default = 3)
The length of the simple moving average applied to the RSI. Higher values produce slower, cleaner signals.
Trend-LR Length (default = 20)
Number of bars used in each linear-regression segment. Longer lengths smooth trends but react more slowly.
Heat Threshold (default = 50)
The cutoff level (on the 0–100 RSI scale) above which the bottom heat-blocks turn green.
Histogram Max for Fade (default = 20)
The absolute difference (RSI – signal) that maps to 100% opacity in the histogram. Smaller differences fade out; larger ones stand out.
🚀 How to Use stockan
Identify Momentum Shifts
Watch for the green/red fill to flip—when the RSI line crosses above its signal, green fill indicates building bullish momentum; red indicates bearish pressure.
Sense Short-Term Trend with Mini-Regression Lines
The tiny sloping segments on both RSI and signal lines give an immediate visual cue: upward-tilted segments = short-term uptrend, downward = downtrend.
Gauge Strength with the Fade-Style Histogram
Opaque bars mean strong momentum divergence; faint bars mean weak or consolidating moves. Use these to avoid low-conviction signals.
Fine-Tune Entries & Exits Using Reversal Dots
Gray dots mark local RSI highs (possible short setups), green dots mark local lows (possible long entries).
Confirm Bias with the Heat-Bar
A steady green row at the bottom tells you RSI has been above your threshold consistently—ideal for trend-following. A red row suggests caution or counter-trend trades.
🎯 Benefits
All-in-One Pane: No need to juggle RSI, MA, histogram and custom script separately.
Clean Visuals: Soft fades and blocky heat bars reduce clutter and highlight what matters.
Non-Repainting: Uses only closed-bar data; once a bar is closed, nothing moves or disappears.
Highly Customizable: Every length, threshold, color and transparency can be adjusted in Settings.
Lightweight & Self-Contained: Pure Pine v5—no external libraries, no proprietary code—fully compliant with TradingView’s policies.
Relative Strength Index with Percentile📈 Relative Strength Index with Percentile Rank (RSI + Percentile)
This advanced RSI indicator adds a powerful percentile ranking system to the classic Relative Strength Index, providing deeper insight into current RSI values relative to recent history.
🔍 Key Features:
Standard RSI Calculation: Identifies overbought/oversold levels using a customizable period.
RSI Percentile (0–100%): Calculates where the current RSI value stands within a user-defined lookback period.
Dynamic Background Coloring:
🟩 Green when RSI percentile is above 80% (strong relative strength)
🟥 Red when RSI percentile is below 20% (strong relative weakness)
Optional Divergence Detection: Spot classic bullish and bearish divergences between price and RSI.
Smoothing Options: Apply various moving averages (SMA, EMA, RMA, etc.) to the RSI, with optional Bollinger Bands.
Flexible Settings: Full control over lookback periods, smoothing type, and band sensitivity.
🧠 Why Use RSI Percentile?
Traditional RSI values can become less informative during trending markets. By ranking the RSI as a percentile, you gain contextual insight into whether the current strength is unusually high or low compared to recent history, rather than just a fixed 70/30 threshold.
Volume Intelligence Suite (VIS) v2📊 Volume Intelligence Suite – Smart Volume, Smart Trading
The Volume Intelligence Suite is a powerful, all-in-one TradingView indicator designed to give traders deeper insight into market activity by visualizing volume behavior with price action context. Whether you're a scalper, day trader, or swing trader, this tool helps uncover hidden momentum, institutional activity, and potential reversals with precision.
🔍 Key Features:
Dynamic Volume Zones – Highlights high and low volume areas to spot accumulation/distribution ranges.
Volume Spikes Detector – Automatically marks abnormal volume bars signaling potential breakout or trap setups.
Smart Delta Highlighting – Compares bullish vs bearish volume in real time to reveal buyer/seller strength shifts.
Session-Based Volume Profiling – Breaks volume into key trading sessions (e.g., London, New York) for clearer context.
Volume Heatmap Overlay – Optional heatmap to show intensity and velocity of volume flow per candle.
Custom Alerts – Built-in alerts for volume surges, divergences, and exhaustion signals.
Optimized for Kill Zone Analysis – Pairs perfectly with ICT-style session strategies and Waqar Asim’s trading methods.
🧠 Why Use Volume Intelligence?
Most traders overlook the story behind each candle. Volume Intelligence Suite helps you "see the why behind the move" — exposing key areas of interest where smart money may be active. Instead of reacting late, this tool puts you in position to anticipate.
Use it to:
Validate breakouts
Detect fakeouts and liquidity grabs
Confirm bias during kill zones
Analyze volume divergence with price swings
⚙️ Fully Customizable:
From volume thresholds to visual styles and session timings, everything is user-adjustable to fit your market, timeframe, and strategy.
✅ Best For:
ICT/Smart Money Concepts (SMC) traders
Breakout & reversal traders
Kill zone session scalpers
Institutional footprint followers
[blackcat] L2 FiboKAMA Adaptive TrendOVERVIEW
The L2 FiboKAMA Adaptive Trend indicator leverages advanced technical analysis techniques by integrating Fibonacci principles with the Kaufman Adaptive Moving Average (KAMA). This combination creates a dynamic and responsive tool designed to adapt seamlessly to changing market conditions. By providing clear buy and sell signals based on adaptive momentum, this indicator helps traders identify potential entry and exit points effectively. Its intuitive design and robust features make it a valuable addition to any trader’s arsenal 📊💹.
According to the principle of Kaufman's Adaptive Moving Average (KAMA), it is a type of moving average line specifically designed for markets with high volatility. Unlike traditional moving averages, KAMA can automatically adjust its period based on market conditions to improve accuracy and responsiveness. This makes it particularly useful for capturing market trends and reducing false signals in varying market environments.
The use of Fibonacci magic numbers (3, 8, 13) enhances the performance and accuracy of KAMA. These numbers have special mathematical properties that align well with the changing trends of KAMA moving averages. Combining them with KAMA can significantly boost its effectiveness, making it a popular choice among traders seeking reliable signals.
This fusion not only smoothens price fluctuations but also ensures quick responses to market changes, offering dependable entry and exit points. Thanks to the flexibility and precision of KAMA combined with Fibonacci magic numbers, traders can better manage risks and aim for higher returns.
FEATURES
Enhanced Kaufman Adaptive Moving Average (KAMA): Incorporates Fibonacci principles for improved adaptability:
Source Price: Allows customization of the price series used for calculation (default: HLCC4).
Fast Length: Determines the period for quicker adjustments to recent price changes.
Slow Length: Sets the period for smoother transitions over longer-term trends.
Dynamic Lines:
KAMA Line: A yellow line representing the primary adaptive moving average, which adapts quickly to new trends.
Trigger Line: A fuchsia line serving as a reference point for detecting crossovers and generating signals.
Visual Cues:
Buy Signals: Green 'B' labels indicating potential buying opportunities.
Sell Signals: Red 'S' labels signaling possible selling points.
Fill Areas: Colored regions between the KAMA and Trigger lines to visually represent trend directions and strength.
Alert Functionality: Generates real-time alerts for both buy and sell signals, ensuring timely notifications for actionable insights 🔔.
Customizable Parameters: Offers flexibility through adjustable inputs, allowing users to tailor the indicator to their specific trading strategies and preferences.
HOW TO USE
Adding the Indicator:
Open your TradingView chart and navigate to the indicators list.
Select L2 FiboKAMA Adaptive Trend and add it to your chart.
Configuring Parameters:
Adjust the Source Price to choose the desired price series (e.g., close, open, high, low).
Set the Fast Length to define how quickly the indicator responds to recent price movements.
Configure the Slow Length to determine the smoothness of long-term trend adaptations.
Interpreting Signals:
Monitor the chart for green 'B' labels indicating buy signals and red 'S' labels for sell signals.
Observe the colored fill areas between the KAMA and Trigger lines to gauge trend strength and direction.
Setting Up Alerts:
Enable alerts within the indicator settings to receive notifications whenever buy or sell signals are triggered.
Customize alert messages and frequencies according to your trading plan.
Combining with Other Tools:
Integrate this indicator with additional technical analysis tools and fundamental research for comprehensive decision-making.
Confirm signals using other indicators like RSI, MACD, or Bollinger Bands for increased reliability.
Optimizing Performance:
Backtest the indicator across various assets and timeframes to understand its behavior under different market conditions.
Fine-tune parameters based on historical performance and current market dynamics.
Integrating Magic Numbers:
Understand the basic principles of KAMA to find suitable entry points for Fibonacci magic numbers.
Utilize the efficiency ratio to measure market volatility and adjust moving average parameters accordingly.
Apply Fibonacci magic numbers (3, 8, 13) to enhance the responsiveness and accuracy of KAMA.
LIMITATIONS
Market Volatility: May produce false signals during periods of extreme volatility or sideways movement.
Parameter Sensitivity: Requires careful tuning of fast and slow lengths to balance responsiveness and stability.
Asset-Specific Behavior: Effectiveness can vary significantly across different financial instruments and time horizons.
Complementary Analysis: Should be used alongside other analytical methods to enhance accuracy and reduce risk.
NOTES
Historical Data: Ensure adequate historical data availability for precise calculations and backtesting.
Demo Testing: Thoroughly test the indicator on demo accounts before deploying it in live trading environments.
Continuous Learning: Stay updated with market trends and continuously refine your strategy incorporating feedback from the indicator's performance.
Risk Management: Always implement proper risk management practices regardless of the signals provided by the indicator.
ADVANCED USAGE TIPS
Multi-Timeframe Analysis: Apply the indicator across multiple timeframes to gain deeper insights into underlying trends.
Divergence Strategy: Look for divergences between price action and the KAMA line to spot potential reversals early.
Volume Integration: Combine volume analysis with the indicator to confirm the strength of identified trends.
Custom Scripting: Modify the script to include additional filters or conditions tailored to your unique trading approach.
IMPROVING KAMA PERFORMANCE
Increase Length: Extend the KAMA length to consider more historical data, reducing the impact of short-term price fluctuations.
Adjust Fast and Slow Lengths: Make KAMA smoother by increasing the fast length and decreasing the slow length.
Use Smoothing Factor: Apply a smoothing factor to control the level of smoothness; typical values range from 0 to 1.
Combine with Other Indicators: Pair KAMA with other smoothing indicators like EMA or SMA for more reliable signals.
Filter Noise: Use filters or other technical analysis tools to eliminate price noise, enhancing KAMA's effectiveness.
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy.
Key Features
Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime.
Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations.
3-State Entropy: Assesses market uncertainty across up, down, and neutral states.
Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC.
Multi-Timeframe Alignment: Syncs with higher timeframe trends for context.
Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling.
How to Use and Interpret
Histogram Interpretation
Positive (Above Zero): Bullish momentum; color intensity shows trend strength.
Negative (Below Zero): Bearish momentum; gradients indicate weakness.
Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points.
Regime Visualization
Green Background: Trending market; prioritize momentum signals.
Red Background: Mean-reverting market; focus on reversion signals.
Blue Background: Neutral state; balance both signal types.
Trading Signals
Buy: Histogram crosses above zero or shows positive divergence between histograms.
Sell: Histogram crosses below zero or exhibits negative divergence.
Confirmation: Match signals with regime background—green for trends, red for ranges.
Customization
Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity.
Adjust color themes and transparency to suit your charts.
Tips for Optimal Use
Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries.
Pairing: Combine with RSI, MACD, or volume indicators for confirmation.
Backtesting: Test settings on historical data for asset-specific optimization.
Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals.
Simulated Performance
Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries.
Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes.
Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise.
Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
