Cumulative Histogram TickThis script is designed to create a cumulative histogram based on tick data from a specific financial instrument. The histogram resets at the start of each trading session, which is defined by a fixed time.
Key Components:
Tick Data Retrieval:
The script fetches the closing tick values from the specified instrument using request.security("TICK.NY", timeframe.period, close). This line ensures that the script works with the tick data for each bar on the chart.
Session Start and End Detection:
Start Hour: The script checks if the current bar's time is 9:30 AM (hour == 9 and minute == 30). This is used to reset the cumulative value at the beginning of each trading session.
End Hour: It also checks if the current bar's time is 4:00 PM (hour == 16). However, this condition is used to prevent further accumulation after the session ends.
Cumulative Value Management:
Reset: When the start hour condition is met (startHour), the cumulative value (cumulative) is reset to zero. This ensures that each trading session starts with a clean slate.
Accumulation: For all bars that are not at the end hour (not endHour), the tick value is added to the cumulative total. This process continues until the end of the trading session.
Histogram Visualization:
The cumulative value is plotted as a histogram using plot.style_histogram. The color of the histogram changes based on whether the cumulative value is positive (green) or negative (red).
Usage
This script is useful for analyzing intraday market activity by visualizing the accumulation of tick data over a trading session. It helps traders identify trends or patterns within each session, which can be valuable for making informed trading decisions.
ค้นหาในสคริปต์สำหรับ "histogram"
Enhanced McClellan Summation Index
The Enhanced McClellan Summation Index (MSI) is a comprehensive tool that transforms the MSI indicator with Heikin-Ashi visualization, offering improved trend analysis and momentum insights. This indicator includes MACD and it's histogram calculations to refine trend signals, minimize false positives and offer additional momentum analysis.
Methodology:
McClellan Summation Index (MSI) -
The MSI begins by calculating the ratio between advancing and declining issues in the specified index.
float decl = 𝘐𝘯𝘥𝘪𝘤𝘦 𝘥𝘦𝘤𝘭𝘪𝘯𝘪𝘯𝘨 𝘪𝘴𝘴𝘶𝘦𝘴
float adv = 𝘐𝘯𝘥𝘪𝘤𝘦 𝘢𝘥𝘷𝘢𝘯𝘤𝘪𝘯𝘨 𝘪𝘴𝘴𝘶𝘦𝘴
float ratio = (adv - decl) / (adv + decl)
It then computes a cumulative sum of the MACD (the difference between a 19-period EMA and a 39-period EMA) of this ratio. The result is a smoothed indicator reflecting market breadth and momentum.
macd(float r) =>
ta.ema(r, 19) - ta.ema(r, 39)
float msi = ta.cum(macd(ratio))
Heikin-Ashi Transformation -
Heikin-Ashi is a technique that uses a modified candlestick formula to create a smoother representation of price action. It averages the open, close, high, and low prices of the current and previous periods. This transformation reduces noise and provides a clearer view of trends.
type bar
float o = open
float h = high
float l = low
float c = close
bar b = bar.new()
float ha_close = math.avg(b.o, b.h, b.l, b.c)
MACD and Histogram -
The Enhanced MSI incorporates MACD and histogram calculations to provide additional momentum analysis and refine trend signals. The MACD represents the difference between the 12-period EMA and the 26-period EMA of the MSI. The histogram is the visual representation of the difference between the MACD and its signal line.
Options:
Index Selection - Choose from TVC:NYA , NASDAQ:NDX , or TVC:XAX to tailor the MSI-HA to the desired market index.
MACD Settings - Adjust the parameters for the MACD calculation to fine-tune the indicator's responsiveness.
Ratio Multiplier - Apply scaling to the MSI to suit different market conditions and indices.
Benefits of Heikin-Ashi -
Smoothed Trends - Heikin-Ashi reduces market noise, providing a more apparent and smoothed representation of trends.
Clearer Patterns - Candlestick patterns are more distinct, aiding in the identification of trend reversals and continuations.
Utility and Use Cases:
Trend & Momentum Analysis - Utilize the tool's Heikin-Ashi visualization for clearer trend identification in confluence with it's MACD and histogram to gain additional insights into the strength and direction of trends, while filtering out potential false positives.
Breadth Analysis - Explore market breadth through the MSI's cumulative breadth indicator, gauging the overall health and strength of the underlying market.
- Alerts Setup Guide -
The Enhanced MSI is a robust indicator that combines the breadth analysis of the McClellan Summation Index with the clarity of Heikin-Ashi visualization and additional momentum insights from MACD and histogram calculations. Its customization options make it adaptable to various indices and market conditions, offering traders a comprehensive tool for trend and momentum analysis.
Fair Value Gap - FVG - HistogramThis indicator uses a histogram to represent "fair value gaps" ("FVG"). FVG is a popular pattern among modern traders.
This document describes the purpose of the script and discusses the conceptual meaning of "fair value," as well as the connotations attached to it.
█🚀 Based on the previous script - improved clarity
This indicator is a modified version of the "Three Bar Gap (Simple Price Action - with 1 line plot)" indicator, which is also available as open source and can be applied to a chart as a complementary tool along with this indicator.
Differences:
The previous version introduced a "Threshold filter" to reduce the number of lines plotted on charts. This filter introduced two additional parameters for users to consider (ATR length and multiplier). These parameters made the indicator more complicated than intended.
To address this issue of having too many lines in the former version, I proposed a spin-off on this version: It's to consider plotting the magnitude of the FVGs on a histogram instead of using lines on a price chart. In my opinion, a histogram is more suitable for decision-making because it lays out data points side-by-side as bins, which makes comparisons much clearer.
Minor FVGs are expected to have smaller bins compared to their neighboring bins, and in extreme cases, the bins will become seemingly invisible due to the auto-adjusted scale of the y-axis. Therefore, there is no need to filter out any data, and all FVGs can be included in this spin-off version.
█🚀 Candlestick patterns - revisited
This script calculates the displacement of highs and lows over three consecutive bars.
A) Down move: When the high of the recent-confirmed bar is lower than the low of the previous-previous candle.
B) Up move: When the low of the recently-confirmed bar is higher than the high of the previous-previous candle.
█🚀 Parameters
Core Functionality
The purpose of this indicator is to generate bins representing the magnitude of FVGs in the form of a histogram to facilitate the visualization of price movements.
The act of "finding FVGs" does not require any inputs, but users can still customize the colors of the bins to indicate the direction of movement.
Auxiliary functionality: “Key level finder” by searching for large FVGs
The following inputs are optional, in fact, the entire feature can be toggled on/off.
In this example, setting the lookback at 20 means the script will generate a signal if the current histogram bin is taller than all previous bins over the past 20 bars.
█🚀 Applications
Tall histogram bins = key levels .
Traders should observe key levels for entry or exit opportunities.
It is important to note that this indicator was designed for standard time-based charts.
On a separate note, FVGs will not appear in Renko charts with fixed-size bricks. This is because the bricks align with their neighboring bricks. When the bricks are fixed, any displacement between highs and lows within less than or equal to three bars will be zero.
The concept of a "gap" is used to illustrate that price follows a jump-diffusion process, and time intervals can be assigned arbitrarily on the x-axis without needing fixed intervals. This idea was briefly discussed in the previous script's write-up.
█🚀 FAQ: Does it repaint?
No. And please continue reading.
Bins are plotted with a one-bar delay. It only takes one bar for the FVG to become confirmed. Lag is beneficial because it clarifies the need for traders to wait for the bar to close and for the signals to become confirmed before entering or exiting a trade. Experienced traders know that prices tend to retrace, so there is no need to chase. An added bar of delay proves to be useful.
█🚀 Opinion: The term “fair value” can be misleading
Those who come from traditional finance may find the term "fair value gap" somewhat insulting. When encountering the phrase, it can feel like a group of aliens from "Planet Technical Analysis" have intrusively landed on your planet and assertively redefined what "fair value" is supposed to mean.
So, what does "fair value" mean in the realm of technical analysis?
In the world of corporate finance, "fair value" is a subjective estimate of what buyers and sellers are hypothetically willing to pay or accept. Buy-side and sell-side analysts use their own methodologies to determine what constitutes "fair value". These approaches may be based on income, asset, or market comparables. Regardless of the approach used, subjectivity is inherent, and results depend on fundamental data provided by the numbers on financial statements. Valuations are unrelated to candlestick patterns .
When dealing with financial statements, finance professionals who are non-market-participants, such as those working in group reporting practices for reporting issuers, or those hired as external auditors, as required by regulators, may also question what constitutes "fair value". The main concerns always revolve around the assumptions used in valuation models; these are inputs that ultimately require management's judgment, and if not critically questioned, valuations as reported in the statements could end up becoming materially bogus. Both IFRS and U.S. GAAP define "fair value" with the same intended meaning in terms of definitions. We will not delve into the details here. The main point is that "fair value" from a financial reporting perspective has nothing to do with candlesticks .
If a price is already quoted in an actively traded market, you can refer to it to obtain what is known as "mark-to-market". This involves simply referring to the bid or ask price on the reporting date, and you're done - there's no need to read candlesticks !
"Fair value" is a neutral term used by finance professionals in all domains. It is not meant to imply that something is actually "fair." Paying the "fair value" for an asset can still result in overpaying or underpaying for what the asset is worth, depending on different model assumptions. The point is, candlesticks are irrelevant to the analysis of what is considered "fair value" in the realm of traditional finance.
That being said, there is no definitive answer as to why people refer to this pattern as a "fair value gap". It's like one of those oddball interview questions asking you to explain why tennis balls are fuzzy. Whatever answer you give, it's important to note that the subject itself is trivial.
Emphasis of matter on why "fair value" can be misleading
The previous paragraphs were not intended to attack ideas from the realm of technical analysis, nor to assert the true meaning, or lack of meaning, of the term "fair value". Words are constantly evolving. If the term "fair value gap" becomes more widely used to describe the displacement of highs and lows over three bars, then let's call it a "fair value gap".
To be clear, I argue that the term "fair value gap" should not be given a positive connotation. Traders should interpret the word "fair" neutrally. Although these signals occur frequently, if you trade every time there is a signal, you will overtrade and incur astronomical transaction costs over the long run, which can lead to losses.
█🚀 Conclusion:
In the end, what matters is how you apply FVG to trading. As mentioned in the "Applications" section above, traders should look for large FVGs - indicated by tall histogram bins - to identify key levels.
MACD/Histogram Divergence ToolThis MACD/Histogram indicator helps me to identify divergences and crosses without much effort.
The MACD line is green during a positive cross, and red during a negative.
My favourite feature is the following: when the histogram changes direction, the histogram bars become yellow, which should help you locate divergences without straining yourself.
Example: Upticking (Green) histogram begins to downtick, turns Yellow. Downticking (Red) histogram begins to uptick, turns Yellow as well.
LFH/ Long positions using MACD histogram, long EMA and short EMADisclaimer: I'm a noob.
Hey there!
I'm trying to implement a script which enter market long position when long EMA crossover short EMA and MACD histogram is positive and histogram at T time is lesser than histogram at T-1.
And when short EMA crossover long EMA, plus MACD histogram is negative and histogram at T is greater than histogram at T-1, I want the script to exit market long position.
Now, I have something pretty close to what I am looking for. What I am missing and can't figure out yet is:
How to moderate entries, ie. I would like it to enter positions when trends are really interesting not just every time the conditions are fulfilled (same for exits) as there is way too much positions
I need to find a way to exit appropriated positions.
[CT] Donchian Histogram w/Candle ColorsDonchian Histogram, originally created by RafaelZioni and enhanced with optional price bar coloring, is a momentum-style oscillator that shows where the current close sits inside a dynamic Donchian channel and how that position is evolving over time. The script calculates a rolling high and low over a multi-session lookback period based on your chosen Donchian timeframe, then normalizes the close within that range to create a percentage position between the recent high and low. This normalized value is smoothed with a signal length and plotted as a histogram around a zero line, making it easy to see whether price is pressing toward the upper side of its recent range, the lower side, or oscillating near the middle. Positive values indicate that price is trading closer to the Donchian high, negative values indicate price is closer to the Donchian low, and the magnitude of the histogram reflects how strongly price is favoring one side of the range. The color logic highlights this state visually: stronger positive conditions can be shown in teal, moderate positive conditions in lime, stronger negative conditions in red, and neutral or transitional states in orange. The script also includes an option to color the actual chart candles with the same colors as the histogram, so traders can see Donchian-based pressure directly on the main price chart without constantly looking down at the lower pane. The indicator works on completed bars using standard highest/lowest and moving average functions, so it behaves like a normal oscillator and does not use any lookahead tricks. It is best used as a contextual tool to gauge whether price is pushing to the edges of its recent range or reverting toward balance, and to visually synchronize that information with candle colors when desired.
Volume Histogram with ThresholdsVolume Histogram with Thresholds
Description:
This indicator displays a histogram of volume bars with color coding based on customizable volume thresholds. It helps traders quickly identify potential breakouts and breakdowns by comparing current volume against a moving average of past volume.
Features:
Customizable Average Volume Period – Allows you to set a lookback period for calculating average volume.
Color-Coded Bars for Quick Visual Reference:
Gray: Below average volume (low activity)
Blue: Near average volume (normal activity)
Green: Above average volume (potential breakout/breakdown)
Red: Significantly above average volume (high-confidence move)
Plots an Orange Reference Line – Represents the average volume for easy comparison.
Usage:
Adjust "Average Volume Period" to set the moving average length for volume.
Modify "Above Average" and "High Volume" multipliers to fine-tune breakout/breakdown sensitivity.
Look for green and red bars to confirm strong moves in price action.
This indicator can help confirm the validity of breakouts and breakdowns by visually emphasizing volume surges. 🚀
Explanation of Presets in the Indicator
The indicator comes with three user-configurable settings that determine how volume is analyzed and displayed. Here’s what they do and why they matter:
1. Average Volume Period (Default: 50)
This setting controls the number of past bars used to calculate the Simple Moving Average (SMA) of volume.
A larger value (e.g., 100) smooths out fluctuations and gives a broader view of average volume trends.
A smaller value (e.g., 20) makes the average more responsive to recent volume changes.
2. Above Average Threshold (Multiplier, Default: 1.5)
This defines the first level of volume increase that is considered above average.
If the current volume is 1.5 times greater than the moving average volume, the histogram bar turns green.
You can lower this value (e.g., 1.2) to make the indicator more sensitive or increase it (e.g., 2.0) to filter out smaller spikes.
3. High Volume Threshold (Multiplier, Default: 2.5)
This determines the threshold for what is considered significantly above average volume.
If the current volume is 2.5 times greater than the moving average volume, the histogram bar turns red.
This setting helps highlight extremely strong volume surges, which are more likely to indicate high-confidence breakouts or breakdowns.
How to Adjust These Presets for Different Market Conditions
If you trade high-volatility assets, you might want to increase the multipliers (e.g., 2.0 and 3.5) to focus only on the strongest moves.
If you trade low-liquidity assets, you might need to lower the multipliers (e.g., 1.2 and 2.0) to capture smaller but meaningful volume shifts.
Short-term traders (scalping/day trading) may prefer a lower average volume period (e.g., 20) to get faster signals.
By tweaking these settings, you can adapt the indicator to your trading style and the asset you’re analyzing. 🚀
Loacally Weighted MA (LWMA) Direction HistogramThe Locally Weighted Moving Average (LWMA) Direction Histogram indicator is designed to provide traders with a visual representation of the price momentum and trend direction. This Pine Script, written in version 6, calculates an LWMA by assigning higher weights to recent data points, emphasizing the most current market movements. The script incorporates user-defined input parameters, such as the LWMA length and a direction lookback period, making it flexible to adapt to various trading strategies and preferences.
The histogram visually represents the difference between the current LWMA and a previous LWMA value (based on the lookback period). Positive values are colored blue, indicating upward momentum, while negative values are yellow, signaling downward movement. Additionally, the script colors candlesticks according to the histogram's value, enhancing clarity for users analyzing market trends. The LWMA line itself is plotted on the chart but hidden by default, enabling traders to toggle its visibility as needed. This blend of histogram and candlestick visualization offers a comprehensive tool for identifying shifts in momentum and potential trading opportunities.
ADR Study [TFO]This indicator is focused on the Average Daily Range (ADR), with the goal of collecting data to show how often price reaches/closes through these levels, as well as a look at historical moves that reached ADR and at similar times of day to study how price moved for the remainder of the session.
The ADR here (blue line) is calculated using the difference between a day's highest and lowest points. If our ADR length is 5, then we are taking this difference from the last 5 days and averaging them together. At the following day's open, we take half of this average and plot it above and below the daily opening price to place theoretical limits on how far price may move according to the lookback period. The triangles indicate when price has reached ADR (either +ADR or -ADR), and alerts can be created for these events.
The Scale Factor is an optional parameter to scale the ADR by a certain amount. If set to 2 for example, then the ADR would be 2x the average daily range. This value will be reflected in the statistics options so that users can see how different values affect the outcomes.
Show Table will display data collected on how often price reaches these levels, and how often price closes through them, for each day of the week. By default, these are colored as blue and red, respectively. From the following chart of NQ1!, we can see for example that on Mondays, price reached +ADR 38% of the time and closed through it 23% of the time. Note that the statistics for closing through the ADR levels are derived from all instances, not just those that reached ADR.
Show Sample Sizes will display how many instances were collected for all given sets of data. Referring to the same example of NQ1!, we can see that this particular chart has collected data from 109 Mondays. From those Mondays, 41 reached +ADR (38%, verifying our initial claim) and 25 closed through it (23%). This is important to understand the scope of the data that we're working with, as percentages can be misleading for smaller sample sizes.
Show Histogram will plot the same exact data as the table, just in a histogram form to visually emphasize the differences on a day-by-day basis. On this chart of RTY1!, we can see for example from the top histogram that on Wednesdays, 40% reached +ADR and only 22% closed through it. Similarly if we look at the bottom histogram, we can see that Wednesdays reached -ADR 46% of the time and closed through it only 28% of the time.
We can also use Show Sample Sizes to display the same information that would be in the table, showing how many instances were collected for each event. In this case we can see that we observed 175 Fridays, where 76 reached +ADR (43%) and 44 closed above it (25%).
Show Historical Moves is an interesting feature of this script. When enabled, if price has reached +/- ADR in the current session, the indicator will plot the evolution of the close prices from all past sessions that reached +/- ADR to see how they traded for the remainder of the session. These calculations are made with respect to the ADR range at the time that price traded through these levels.
Historical Proximity (Bars) allows the user to observe historical moves where price reached ADR within this many bars of the current session (assuming price has reached an ADR level in the current session). In the above chart, this is set to 1000 so that we can observe each and every instance where price reached an ADR level. However, we can refine this a bit more.
By limiting the Historical Proximity to something like 20, we are only considering historical moves that reached ADR within 20 bars of todays +ADR reach (9:50 am EST, noted by the blue triangle up). We can enable Show Average Move to display the average move by the filtered dataset, and Match +/-ADR to only observe moves inline with the current day's price action (in this case, only moves that reached +ADR, since price has not reached -ADR).
We can add one more filter to this data with the setting Only Show Days That: closed through ADR; closed within ADR; or either. The option either is what you see above, as we are considering both days that closed through ADR and days that closed within it (note that in this case, closing within ADR simply means that price reached +ADR and closed the day below it, and vice versa for -ADR; this does not mean that price must have closed in between +ADR and -ADR). If we set this to only show instances that closed within ADR, we see the following data.
Alternatively, we can choose to Only Show Days That closed through ADR, where we would see the following data. In this case, the average move very much resembles the price action that occurred on this particular day. This is in no way guaranteed, but it makes an interesting case for how we could use this data in our analysis by observing similar, historical price action.
Please note that this data will change over time on a rolling basis due to TradingView's bar lookback, and that for this same reason, lower timeframes will yield less data than larger timeframes.
Distribution Histogram [SS]This is the frequency histogram indicator. It does just that—creates a frequency histogram distribution based on your desired lookback period. It then uses Pine's new Polyline function to plot a normal curve of the expected results for a normal distribution. This allows you to see quite a few things:
🎯 Firstly, it allows you to see where the accumulation rests in terms of a bell curve. The histogram represents a bell curve, and you can visually observe what the curve would look like.
🎯 Secondly, it will assess the normal distribution and the degree of skewness based on the curve itself. The indicator imports the SPTS statistics library to assess the distribution using Kurtosis and Skewness. However, it also adds functionality in this regard by making a qualitative assessment of the data. For example, if there are heavy left tails or heavier right tails present in the histogram, the indicator will alert you that a heavier left or right tail has been observed.
🎯 Thirdly, it provides you with the kurtosis and skewness of the dataset.
🎯 Fourthly, it provides the mean, median, and mode of the dataset, as well as the maximum and minimum values within the dataset.
🎯 Lastly, it provides you with the ability to toggle on tips/explanations of the curve itself. Simply toggle on "Show Distribution Explanation" in the settings menu:
How is the indicator helpful for trading?
If you are a mean reversion trader, this helps you identify the areas and price ranges of high and low accumulation. It also allows you to ascertain the probability by looking at the standard deviation of the bell curve. Remember, the majority of values should fall between -1 and 1 standard deviation of the mean (68%).
If it is revealed that the distribution has a heavier right or left tail, you will know that the stock is more likely to experience sudden drops and shifts in the curve in one direction or the other. Heavier left tails will tend to shift to the values on the far left, and vice versa for right tails.
Customization
You can turn off and on the following:
👉 The normal curve,
👉 The standard deviation levels, and
👉 The distribution explanations and tips.
Conclusion: And that is the indicator! Hope you enjoy it!
Market Profile Fixed ViewSome instruments does not provide any volume information, therefore, as a fixed volume profile user, I needed a fixed market profile indicator to use the same principles, regardless of whether the volumes are available or not.
This script draws a market profile histogram corresponding to price variations within a specific duration, you only need to specify Start and End date/time values to see the histogram on your chart.
Details
Two lines corresponding to highest/lowest prices are displayed around the histogram
The redline corresponds to the POC (point of control)
Options
Start calculation
End calculation
Bars number (histogram resolution, currently locked to a max value of 50 bars)
Display side/Width (allows to modify size of bars, to the left or to the right)
Bars/Borders/POC Color customization
Notes
This script will probably be updated (to add VAH/VAL zones, and maybe other options). However, some common market profile attributes have not been implemented yet since I don't really use them)
Scott’s ATR volatility histogram with smoothingATR shows volatility. The sma of the ATR (default=14 period) shows the average volatility over the look-back period, (default=200 period.)
When volatility is higher than average, the histogram turns green. When volatility is less than average, the histogram turns red. This shows volatility expansion and contraction. Volatility expansion is a good confirmation for entering a trade position. Volatility contraction is a sign that a trend is not developing.
Now I have added an sma which acts as a smoothing of expanding or contracting volatility. When the histogram is higher than this smoothing (default=21) then volatility expansion momentum is creasing. WWhen the histogram is lower than the smoothing sma, volatility contraction momentum is increasing.
I introduce an idea that volatility momentum can be used as a substitute for volatility expansion and contraction.
Now we have volatility expansion momentum and volatility contraction momentum.
MACD Histogram Multi-TimeframeThe MACD-Histogram represents the difference between the MACD (i.e., the between the two EMAs) and the signal line (i.e., the 9-day EMA of the MACD). The histogram is positive (i.e., above the zero line) when the MACD is above the signal line and negative when the MACD is below the signal line.
HOW IS IT USED ?
A bullish crossover occurs when the MACD histogram is negative and a bearish cross over occurs when the MACD histogram is negative.
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... :)
Fat Tony's Composite Momentum Histogram (v01)# Fat Tony's Composite Momentum Histogram
## What It Does
This indicator combines four momentum oscillators into a single composite signal that ranges approximately from -100 to +100. It identifies potential overbought and oversold conditions while weighting signals by volume activity to filter out weak moves.
The histogram shows momentum strength with color-coded bars:
- **Red bars** indicate extreme overbought conditions (above +100)
- **Green bars** indicate extreme oversold conditions (below -100)
- **Blue bars** show positive momentum in normal range
- **Orange bars** show negative momentum in normal range
## Core Components
The indicator blends these four momentum measures:
1. **Williams %R** - Measures where price closed relative to the high-low range
2. **Stochastic %K** - Compares closing price to the recent price range
3. **MACD Histogram** - Shows momentum changes via moving average convergence/divergence
4. **ROC (Rate of Change)** - Measures percentage price change, normalized by volatility
Each component is scaled to a -50 to +50 range, then averaged together. The MACD component uses adaptive scaling based on its historical volatility to remain relevant across different market conditions.
## Volume Weighting
The indicator amplifies signals when volume is elevated and dampens them when volume is low. It uses a logarithmic scaling approach to smooth extreme volume spikes. There's also a minimum volume filter that prevents signals from triggering during very low-volume periods.
## Settings Explained
**Momentum Settings:**
- **Length (14)** - Lookback period for Williams %R and Stochastic calculations
- **MACD Fast/Slow/Signal (12/26/9)** - Standard MACD parameters
- **ROC Length (10)** - Lookback for rate of change calculation
- **MACD StDev Length (200)** - Historical window for normalizing MACD values
**Levels:**
- **Overbought Level (+100)** - Threshold for extreme upside momentum
- **Oversold Level (-100)** - Threshold for extreme downside momentum
**Volume Settings:**
- **Enable Volume Weighting** - Toggle volume amplification on/off
- **Volume Sensitivity (1.5)** - Controls how much volume impacts the signal (higher = stronger impact)
- **Min Avg Volume (50,000)** - Filters out signals when 5-bar average volume is too low
**Components:**
- **Include ROC Component** - Toggle to add/remove ROC from the calculation
- **Enable Trend Filter** - Only allows signals aligned with the 200-period EMA trend
- **Show Component Plots** - Displays individual oscillator values for tuning purposes
## Trading Signals
**Entry Signals:**
- **Long (green triangle)** - Composite crosses above the oversold level with adequate volume
- **Short (red triangle)** - Composite crosses below the overbought level with adequate volume
**Exit Signals (when trend filter enabled):**
- **Long Exit** - Composite crosses below zero from positive territory
- **Short Exit** - Composite crosses above zero from negative territory
The indicator also provides alert conditions for automated notifications on these signal events.
Multi Momentum 10/21/42/63 — Histogram + 2xSMAMY MM INDICATOR INDIRED BY KARADI
It averages four rate-of-change snapshots of price, all anchored at today’s close.
If “Show as %” is on, the value is multiplied by 100.
Each term is a simple momentum/ROC over a different lookback.
Combining 10, 21, 42, 63 bars blends short, medium, and intermediate horizons into one number.
Positive MM → average upward pressure across those horizons; negative MM → average downward pressure.
Why those lengths?
They roughly stack into ~2× progression (10→21≈2×10, 21→42=2×21, 63≈1.5×42). That creates a “multi-scale” momentum that’s less noisy than a single fast ROC but more responsive than a long ROC alone.
How to read the panel
Gray histogram = raw Multi-Momentum value each bar.
SMA Fast/Slow lines (defaults 12 & 26 over the MM values) = smoothing of the histogram to show the trend of momentum itself.
Typical signals
Zero-line context:
Above 0 → bullish momentum regime on average.
Below 0 → bearish regime.
Crosses of SMA Fast & Slow: momentum trend shifts (fast above slow = improving momentum; fast below slow = deteriorating).
Histogram vs SMA lines: widening distance suggests strengthening momentum; narrowing suggests momentum is fading.
Divergences: price makes a new high/low but MM doesn’t → potential exhaustion.
Compared to a classic ROC
A single ROC(20) is very sensitive to that one window.
MM averages several windows, smoothing idiosyncrasies (e.g., a one-off spike 21 bars ago) and reducing “lookback luck.”
Settings & customization
Lookbacks (10/21/42/63): you can tweak for your asset/timeframe; the idea is to mix short→medium horizons.
Percent vs raw ratio: percent is easier to compare across symbols.
SMA lengths: shorter = more reactive but choppier; longer = smoother but slower.
Practical tips
Use regime + signal: trade longs primarily when MM>0 and fast SMA>slow SMA; consider shorts when MM<0 and fast
AntoQQE - HistogramThis script displays a QQE-based momentum histogram, derived from the RSI line’s deviation around a neutral 50 level. It uses a smoothed RSI, monitors volatility with a dynamically adjusted multiplier, and then plots a color-coded histogram that helps traders see when the RSI is entering strong bullish or bearish territory:
• Smoothed RSI Calculation
The script calculates RSI for a user-defined period and then smooths it with an EMA. This reduces noise in the indicator’s readings.
• Dynamic Average Range (DAR)
The script computes volatility by taking the absolute change of the smoothed RSI, applying two EMAs, and multiplying by a QQE factor. This produces a band around the RSI that adapts to changes in market volatility.
• Histogram Centering and Thresholds
Rather than plotting the RSI itself, the script subtracts 50 from the RSI to center it around zero. Columns are plotted for each bar:
Blue when momentum is significantly above zero (over a threshold value).
Red when momentum is significantly below zero (under a negative threshold).
Gray when momentum is within a neutral range.
• Usage
By observing when columns turn blue or red—and how far they extend above or below zero—traders can quickly gauge the market’s momentum. The horizontal threshold lines (dashed by default) provide clear breakout levels for bullish or bearish conditions, which can help confirm entries or exits based on shifting market sentiment. It is best paired with the AntoQQE - Bars indicator for better chart visualization.
Volume Pressure Histogram (Normalized)Overview
The Volume Pressure Histogram is designed to help traders analyze buying and selling pressure using real volume data.
Unlike traditional momentum indicators that rely solely on price movements, VPH measures the strength of bullish and bearish volume, providing insights into market participation.
How It Works
The histogram represents the difference between buying and selling volume over a selected period.
Green bars indicate strong buying pressure, while red bars signal strong selling pressure.
Lime and orange bars (if enabled) represent moderate buying and selling activity.
A white signal line smooths volume data to track momentum shifts over time.
How to Use It
Trend Confirmation: When price is rising and green bars increase, the trend is supported by real buying pressure.
Reversal Detection: If price makes a new high but green bars shrink, buyers may be losing strength.
Breakout Strength: A breakout with rising volume pressure confirms strong participation, while weak volume pressure suggests a potential fake move.
Divergence Signals: If price moves higher, but volume pressure declines, the move may lack conviction and could reverse.
Customization Options
Threshold Multiplier (default = 20) controls when green and red bars appear, filtering out weaker signals.
Log Scale Option helps normalize extreme volume spikes.
Adjustable Smoothing Length for both the histogram and signal line.
Why Use This Indicator
Provides a volume-based approach to analyzing market trends.
Can confirm or contradict price movements, helping identify strong or weak trends.
Works across multiple markets, including stocks, forex, crypto, and indices.
This indicator is designed for educational and informational purposes only and does not provide financial advice.
TASC 2024.12 Dynamic ADX Histogram█ OVERVIEW
This script introduces a new version of the ADX oscillator, designed by Neil Jon Harrington and featured in the "Revisualizing The ADX Oscillator" article from the December 2024 edition of TASC's Traders' Tips .
█ CONCEPTS
The directional movement index (DMI+ and DMI−) and average directional index (ADX) indicators have long been popular with technical analysts. Developed by J. Welles Wilder in the 1970s, these indicators provide information about the direction and strength of price movements across bars. The DMI+ measures positive price movement, the DMI- measures negative price movement, and the ADX gauges the average strength of price trends. Although these indicators can provide helpful insights into price action and momentum, Neil Jon Harrington argues they are often misunderstood or misapplied.
Harrington's indicator, the Dynamic ADX Histogram (DADX), applies directional information to the ADX based on DMI+ and DMI- values to create a single oscillator centered around 0. The indicator displays the oscillator as a histogram with dynamic colors based on ADX movements and user-defined strength thresholds. The author believes this modification of the ADX and DMI data offers a more intuitive visualization of the information provided by Wilder's calculations.
An additional feature of the DADX is the option to use average (smooth) DMI+ and DMI- values in the oscillator's calculation, which reduces noise and choppiness at the cost of added lag.
█ USAGE
The "ADX Length" input determines the number of bars in the DMI and ADX calculation. The "DMI Smoothing Length" input controls the number of bars in the DMI smoothing calculation. Use a value of 1 for non-smoothed DMI data.
The sign of the DADX indicates the direction of price movements based on the difference between the smoothed DMI+ and DMI- values. The absolute value of the oscillator corresponds to the ADX, representing the trend strength.
The "Low Threshold" and "High Threshold" inputs define the ADX thresholds for categorizing trending, non-trending, and exhaustion states. The low threshold specifies the minimum absolute oscillator value required to indicate a trend, and the high threshold marks the absolute value where trend strength is excessive, possibly suggesting an upcoming consolidation or reversal. The indicator colors the histogram based on these thresholds and changes in the ADX, with brighter colors denoting a strengthening trend and darker colors signaling a weakening trend.
Average Trend with Deviation Bands v2TL;DR: An average based trend incl. micro trend spotting and multiple display options.
This script is basically an update of my "Average Trend with Deviation Bands" script. I made the following changes:
Not an overlay anymore - The amount of drawn lines makes the chart pretty messy. That's why I moved it to a pane. If you preferred the overlay you can use my "Average Trend with Deviation Bands" script. *This is also the reason why I publish this script instead of updating the existing one.
I added an EMA to represent the price movement instead of candles
I added a signal (SMA) to spot micro trends and early entry/exit signals
I added the option to switch between a "line view" which shows the average trend and deviation bands and an "oscillator view" which shows an oscillator and histogram (MACD style)
General usage:
1. The white line is the average trend (which is an average of the last N bars open, close, high, low price).
2. Bands around the average trend are standard deviations which can be adjusted in the options menu and are only visible in "lines view". Basically they are like the clouds in the Ichimoku Cloud indicator - In big deviation bands the price movement needs more "power" to break through the average trend and vice versa.
3. Indicator line (blue line) - This is the EMA which represents the price. Crossing the average trend from below indicates an uptrend and vice versa (crossing from above indicates a down trend).
4. Signal line (red line) - This is a smoothed version of the indicator line which can be used to predict the movement of the price when crossed by the indicator line (like at MACD and many other indicators).
Oscillator usage:
When switched to "oscillator view" the indicator line oscillates around a zero line which can be seen as the average trend. The usage is basically the same as described above. However there is also the histogram which shows the difference between the indicator and signal. Of course the histogram can be deactivated. Additionally a color filling can be added to easily spot entry/exit signals.
As always: Code is free do whatever you like. If you have any questions/comments/etc. just drop it in the comment section.
RSI + MA, LinReg, ZZ (HH HL LH LL), Div, Ichi, MACD and TSI HistRelative Strength Index with Moving Average, Linear Regression, Zig Zag (Highs and Lows), Divergence, Ichimoku Cloud, Moving Average Convergence Divergence and True Strength Index Histogram
This script is based on zdmre's RSI script, I revamped a lot of things and added a few indicators from ParkF's RSI script.
Disable Labels in the Style tab and the histogram if you don't enlarge the indicator and it seems too small.
Look to buy in the oversold area and bounce of the support of the linear regression.
Look to sell in the overbought area and bounce of the resistance of the linear regression.
Look for retracement to the moving average or horizontal lines, and divergences for potential reversal.
RSI
The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements.
Moving Average
Moving Average (MA) is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance.
Linear Regression
The Linear Regression indicator visualizes the general price trend of a specific part of the chart based on the Linear Regression calculation.
Zig Zag (Highs and Lows)
The Zig Zag indicator is used to identify price trends, and in doing so plots points on the chart to mark whenever prices reverse by a larger percentage point than a predetermined variable or marker.
Divergence
The divergence indicator warns traders and technical analysts of changes in a price trend, oftentimes that it is weakening or changing direction.
Ichimoku Cloud
The Ichimoku Cloud is a package of multiple technical indicators that signal support, resistance, market trend, and market momentum.
MACD and TSI Histogram
MACD can be used to identify aspects of a security's overall trend.
The True Strength Index indicator is a momentum oscillator designed to detect, confirm or visualize the strength of a trend.
Juirk-Filtered QQE Histogram [Loxx]Juirk-Filtered QQE Histogram is a QQE indicator with 7 different RSI types, Jurik-Filtering with the option of double filtering. 2 types of signals, and Loxx's Expanded Source types. These additions are useful to filter out noise.
What is Qualitative Quantitative Estimation (QQE)?
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index ( RSI ) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR).
There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Included:
Loxx's Expanded Source Types
Alerts
Signals
Bar coloring
Included Libraries
Loxx's Variety RSI
Loxx's Jurik Tools
Loxx's Expanded Source Types
Related indicators:
Natural Market Mirror (NMM) and NMAs w/ Dynamic Zones
RSI/RSX QQE Histogram w/ Discontinued Signal Line
Jurik CFB Adaptive QQE
Adaptive Qualitative Quantitative Estimation (QQE)
ADeXtIt is an extended ADX and Direction Movement Index indicator with the following changes:
It shows a histogram instead of the DMI lines. If the histogram is green, the DMI+ is above DMI-, otherwise it is red.
You can specify a multiplier for the histogram values to check if values are above threshold. This way you can use the same threshold line as ADX to detect directional strength.
You can remove outliers from ATR calculations
You can use different MAs and sources for DMI and ATR calculations to make ADX more adjustable to different markets
It uses my ADExt library, so you can easily transfer your study to a strategy script.
Other altcoins BTC capitalization histogram [peregringlk]Introduction
==========
This study is intented to be used in combination with my other study "Other alts compensated cap". Read its description, in particular, it's rationale, to understand why I have removed the big capitalized altcoins from these studies.
The middle indicator in the image is that other study, while the indicator in the buttom of the image is that one.
It shows, in form of histogram, the BTC capitalization change rate (per candle, using closes) of the "OTHERS" altcoins together with the inverse of the BTCUSD price change rate per candle.
NOTE: I call the change rate to the multiplier factor of price from bar to bar. For example, a change rate of 1.20 means +20% respect to "yesterday", and a change rate of 0.80 means -20%.
The idea is to know what are altcoin markets (against BTC) doing after each BTC price change.
Definitions
=========
I will use ALT from now one as the name of an index or fictional coin that represents the average price of all other altcoins combined. I'll use then ALTUSD to represent the price against USD of such fictional coin (= the OTHERS capitalization, as if the USD capitalization of altcoins were the USD price of ALT), and ALTBTC to represent the same price but against BTC (calculated by taking ALTUSD/BITSTAMP:BTCUSD; the choosing of BITSTAMP is because it's the market with a longer history in tradingview).
Since I use the "OTHERS" security, I cannot know the real altcoin index so I can only estimate by using the capitalization. CIX100 could be a solution, but it is too recent in time as to inspect past price actions.
Description
=========
For example, let's assume BTCUSD decreases by 20% today. It would cause a fall in ALTUSD of 20% (just maths). So, what should it happen in ALTBTC to preserve the original ALTUSD price? People should buy alts in BTC markets by a factor of 1/0.8 = 1.25. Or in other words, unless there are a +25% grow in ALTBTC, ALTUSD would see a decrease in value.
This is what the histogram shows. The red columns shows the ALTBTC change rate per candle, while each green column shows what is the required change rate in ALTBTC required to preserve its ALTUSD value (capitalization). In other words, the green columns are the "targets" to preserve USD capitalization in ALTBTC, while the red histogram shows the actual changes.
Also, it shows two curves. There are just the change rate accumulation during some customizable interval (the same for both lines, and 7 by default; or the "week" for daily candles).
The green line is the accumulated "target" change rate within that period of time (the accumulated product of the last `interval` change rates), and the red line is the actual change rate for the same `interval` candles.
Interpretation
============
If red column values are bigger than the green ones (green column is negative, and red column is positive; or both are positives but the red one "put outs", or both are negative but the red column doesn't "put out"), OTHERS USD capitalization has increased.
If red column values are lower than the green ones (green column is positive and red column is negative; or both are positives but the red one doesn't "put out"; or both are negative but the red column "put outs"), OTHERS USD capitalization has decreased.
The same for the continuous lines: if the red line is above the green one, OTHERS USD capitalization has increased during "the past week". Otherwise, it has decreased.
The added value of this indicator is that it allows you to know "why". For example, if a green column is positive, and its corresponding red column is positive as well, but below the green one, the capitalization has decreased but BECAUSE the btc price has fallen, not because there was a sellof in alts. Actually, there was some buys (the ALTBTC price increased); it just it was not enough to counteract the btc fall.
That can be clearly seen in the remarked candle in the plot, the "coronavirus" sellof. The BTCUSD fall was huge (the hugest in BTC history), and the green column is telling you that to preserve the capitalization a lot of buys were required. However, that didn't happen. Actually, the OTHER alts were pretty quiet (the red column is tiny), causing a massive indirect loss of capitalization.
Also, with the curves, you can know if there was a total gainning or loss of capitalization during the past few days or candles. Also you can try to spot the beginning of alts seasons by crosses between red and green lines: if the red lines crosses above the green one (because there was a continuous sequence of red columns above green ones), it means that, potentially, were are at the beginning of an alt season because people are accumulating.
Table of cases
===========
- if the green column is positive (BTCUSD is down)
- if the red column is positive (ALTBTC is up)
- bigger than the green column: ALTBTC buys are stronger than required by arbitrage and have counteracted and overcome the BTC fall.
- shorter than the green column: there have been some buys but not enough, so the BTCUSD fall has not been fully counteracted.
- if the red column is negative (ALTBTC is down): the loss is double: BTCUSD have lost value + ALTBTC is bleeding.
- If the green column is negative (BTCUSD is up)
- if the red column is negative (ALTBTC is down)
- bigger than the green column: ALTBTC sells are so strong that have counteracted the BTC increase in value, causing a loss of USD value.
- shorter than the green column: there have been sells but overall the ALTUSD price has increased.
- if the red column is positive (ALTBTC is up): the gain is double: BTCUSD has gain value + ALTBTC is also growing.
