Chaikin Volume Accumulation Oscillator (VAO)The Volume Accumulation Oscillator is a volume momentum indicator developed by Mark Chaikin (177E, 77th Street, New York, NY
10021). Their simplest form is a sliding sum of daily volumes divided by the difference between the daily closing price and the midpoint of the daily price range.
It is a sensitive short term oscillator, the values of which are obtained by subtracting the value of the previous day of its own ESS from the cumulative sum of the cumulative volume
length of 2 days (for the purpose of normalization, the result is then divided by the value 2-day ESS for the previous day)
Analysis of historical data shows that volume accumulation indicator can be an effective tool, especially on Long
positions.
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Price Moving Average Ratio & PercentileIntroducing the Price Moving Average Ratio & Percentile indicator
A simple indicator which calculates :
The ratio between a chosen source price and a user defined moving average ( PMAR ) or
The percentile of the ratio between the chosen source price and a user defined moving average over an adjustable lookback period ( PMARP )
It then displays either the PMAR or PMARP as a line plot with optional user defined signal moving average.
It also plots an optional Visual Alert Level line and background signal bars.
Indicator Settings
Main Properties :
Source Price .. choice of price values or external value from another indicator ( default )
Line Plot Type .. choice between PMAR or PMARP ( default PMAR )
Price Moving Average Ratio Settings :
PMAR Length ..The time period to be used in calculating the Moving Average for the Price Moving Average Ratio and the PMAR component of the PMARP. ( default )
PMAR Type ..The type of Moving Average which creates the MA for the Price Moving Average Ratio and the PMAR component of the PMARP. ( default )
Price Moving Average Ratio Percentile Settings :
PMARP Lookback .. The lookback period to be used in calculating the Price Moving Average Ratio Percentile.
Line Plot Color Settings :
Gives a choice between a user defined solid color, and a choice of "Blue Green Red", or "Blue Red" spectrum palettes.
Signal Moving Average Settings :
Signal MA Length ..The time period to be used in calculating the Signal Moving Average for the Line Plot ( default )
Signal MA Type ..The type of Moving Average which creates the Signal Moving Average for the Line Plot ( default )
Signal Moving Average Color Settings :
Gives a choice between a user defined solid color, and a choice of "Blue Green Red", or "Blue Red" spectrum palettes.
Visual Alert Level Settings :
Alert level .. Level which activates the background signal bars ( default )
Typical Use case for the Price Moving Average Ratio
Traders and Technical Analysts will typically use the PMAR as an accumulation signal generator.
To do this....
Set a level below 1 where it has been historically profitable to accumulate the asset in question on the chosen timeframe.
Typical Use case for the Price Moving Average Ratio Percentile
Traders and Technical Analysts will look at the PMARP to judge how far away current PA is away from the defined MA based on a statistical measure of the lookback period in a percentile format.
Traders and Technical Analysts will typically use the PMAR as an accumulation signal generator.
To do this...
Set a low level where it has been historically profitable to accumulate the asset in question on the chosen timeframe.
Note : The default settings are specifically set up for use on the daily timeframe with a MA of 140 equating (approximately) to the 20 week moving average.
This is not a stand alone indicator and should be used in combination with volatility and momentum indicators for a more effective trading edge.
MFI Volume Profile [Kodexius]The MFI Volume Profile indicator blends a classic volume profile with the Money Flow Index so you can see not only where volume traded, but also how strong the buying or selling pressure was at those prices. Instead of showing a simple horizontal histogram of volume, this tool adds a money flow dimension and turns the profile into a price volume momentum heat map.
The script scans a user controlled lookback window and builds a set of price levels between the lowest and highest price in that period. For every bar inside that window, its volume is distributed across the price levels that the bar actually touched, and that volume is combined with the bar’s MFI value. This creates a volume weighted average MFI for each price level, so every row of the profile knows both how much volume traded there and what the typical money flow condition was when that volume appeared.
On the chart, the indicator plots a stack of horizontal boxes to the right of current price. The length of each box represents the relative amount of volume at that price, while the color represents the average MFI there. Levels with stronger positive money flow will lean toward warmer shades, and levels with weaker or negative money flow will lean toward cooler or more neutral shades inside the configured MFI band. Each row is also labeled in the format Volume , so you can instantly read the exact volume and money flow value at that level instead of guessing.
This gives you a detailed map of where the market really cared about price, and whether that interest came with strong inflow or outflow. It can help you spot areas of accumulation, distribution, absorption, or exhaustion, and it does so in a compact visual that sits next to price without cluttering the candles themselves.
Features
Combined volume profile and MFI weighting
The indicator builds a volume profile over a user selected lookback and enriches each price row with a volume weighted average MFI. This lets you study both participation and money flow at the same price level.
Volume distributed across the bar price range
For every bar in the window, volume is not assigned to a single price. Instead, it is proportionally distributed across all price rows between the bar low and bar high. This creates a smoother and more realistic profile of where trading actually happened.
MFI based color gradient between 30 and 70
Each price row is colored according to its average MFI. The gradient is anchored between MFI values of 30 and 70, which covers typical oversold, neutral and overbought zones. This makes strong demand or distribution areas easier to spot visually.
Configurable structure resolution and depth
Main user inputs are the lookback length, the number of rows, the width of the profile in bars, and the label text size. You can quickly switch between coarse profiles for a big picture and higher resolution profiles for detailed structure.
Numeric labels with volume and MFI per row
Every box is labeled with the total volume at that level and the average MFI for that level, in the format Volume . This gives you exact values while still keeping the visual profile clean and compact.
Calculations
Money Flow Index calculation
currentMfi is calculated once using ta.mfi(hlc3, mfiLen) as usual,
Creation of the profileBins array
The script creates an array named profileBins that will hold one VPBin element per price row.
Each VPBin contains
volume which is the total volume accumulated at that price row
mfiProduct which is the sum of volume multiplied by MFI for that row
The loop;
for i = 0 to rowCount - 1 by 1
array.push(profileBins, VPBin.new(0.0, 0.0))
pre allocates a clean structure with zero values for all rows.
Finding highest and lowest price across the lookback
The script starts from the current bar high and low, then walks backward through the lookback window
for i = 0 to lookback - 1 by 1
highestPrice := math.max(highestPrice, high )
lowestPrice := math.min(lowestPrice, low )
After this loop, highestPrice and lowestPrice define the full price range covered by the chosen lookback.
Price range and step size for rows
The code computes
float rangePrice = highestPrice - lowestPrice
rangePrice := rangePrice == 0 ? syminfo.mintick : rangePrice
float step = rangePrice / rowCount
rangePrice is the total height of the profile in price terms. If the range is zero, the script replaces it with the minimum tick size for the symbol. Then step is the price height of each row. This step size is used to map any price into a row index.
Processing each bar in the lookback
For every bar index i inside the lookback, the script checks that currentMfi is not missing. If it is valid, it reads the bar high, low, volume and MFI
float barTop = high
float barBottom = low
float barVol = volume
float barMfi = currentMfi
Mapping bar prices to bin indices
The bar high and low are converted into row indices using the known lowestPrice and step
int indexTop = math.floor((barTop - lowestPrice) / step)
int indexBottom = math.floor((barBottom - lowestPrice) / step)
Then the indices are clamped into valid bounds so they stay between zero and rowCount - 1. This ensures that every bar contributes only inside the profile range
Splitting bar volume across all covered bins
Once the top and bottom indices are known, the script calculates how many rows the bar spans
int coveredBins = indexTop - indexBottom + 1
float volPerBin = barVol / coveredBins
float mfiPerBin = volPerBin * barMfi
Here the total bar volume is divided equally across all rows that the bar touches. For each of those rows, the same fraction of volume and volume times MFI is used.
Accumulating into each VPBin
Finally, a nested loop iterates from indexBottom to indexTop and updates the corresponding VPBin
for k = indexBottom to indexTop by 1
VPBin binData = array.get(profileBins, k)
binData.volume := binData.volume + volPerBin
binData.mfiProduct := binData.mfiProduct + mfiPerBin
Over all bars in the lookback window, each row builds up
total volume at that price range
total volume times MFI at that price range
Later, during the drawing stage, the script computes
avgMfi = bin.mfiProduct / bin.volume
for each row. This is the volume weighted average MFI used both for coloring the box and for the numeric MFI value shown in the label Volume .
Wyckoff Accumulation / Distribution Detector (v3)🌱 Spring (Bullish Wyckoff Signature)
🧠 Definition
A Spring happens when price dips below a well-defined support level, usually near the end of an accumulation phase, then quickly reverses back above support.
This is not ordinary volatility — it's usually intentional by large operators (“Composite Man”) to:
Trigger stop-losses of weak holders
Create the illusion of a breakdown to scare late sellers in
Absorb all remaining supply at low prices
Launch the next markup leg once weak hands are flushed out
🧭 Typical Spring Characteristics
Feature Behavior
Location Near the bottom of a trading range after a decline
Price Action Temporary breakdown below support, then sharp reversal above
Volume Usually low to average on the break, indicating lack of real selling pressure. Sometimes a volume surge on the reversal as strong hands step in
Candle Often shows a long lower wick, closes back inside the range
Intent Shakeout of weak holders, allow institutions to accumulate more quietly
📈 Why It's Bullish
Springs typically mark the final test of supply. If price can dip below support and immediately recover, it means:
Selling pressure is exhausted (no follow-through)
Strong hands are absorbing remaining shares
A bullish breakout is often imminent
🪤 Upthrust (Bearish Wyckoff Signature)
🧠 Definition
An Upthrust is the mirror image of a Spring. It happens when price pokes above a resistance level, usually near the end of a distribution phase, but then fails to hold above it and falls back inside the range.
This is typically smart money distributing to eager buyers:
Late breakout traders pile in
Institutions sell into that strength
Price collapses back into the range, trapping breakout buyers
🧭 Typical Upthrust Characteristics
Feature Behavior
Location Near the top of a trading range after a rally
Price Action Temporary breakout above resistance, then quick reversal down
Volume Frequently low on the breakout, suggesting a lack of real buying interest — or sometimes high but with no progress, showing hidden selling
Candle Often shows a long upper wick, closes back inside the range
Intent Trap breakout buyers, provide liquidity for institutional sellers to unload near highs
📉 Why It's Bearish
Upthrusts show demand failure and supply swamping:
Buyers cannot sustain the breakout.
The sharp reversal signals large players are exiting.
Typically precedes markdown phases or sharp declines.
📝 Trading Implications
Spring → Often followed by a sign of strength rally → good long entry if confirmed with volume expansion and follow-through.
Upthrust → Often followed by a sign of weakness → short setups, especially if the next rally fails at lower highs.
The script looks for:
🌱 Spring:
Price makes a low below recent pivot support,
Closes back above,
Does so on low volume → likely a shakeout.
🪤 Upthrust:
Price makes a high above recent pivot resistance,
Closes back below,
On low volume → likely a bull trap.
Volume-Weighted Money Flow [sgbpulse]Overview
The VWMF indicator is an advanced technical analysis tool that combines and summarizes five leading momentum and volume indicators (OBV, PVT, A/D, CMF, MFI) into one clear oscillator. The indicator helps to provide a clear picture of market sentiment by measuring the pressure from buyers and sellers. Unlike single indicators, VWMF provides a comprehensive view of market money flow by weighting existing indicators and presenting them in a uniform and understandable format.
Indicator Components
VWMF combines the following indicators, each normalized to a range of 0 to 100 before being weighted:
On-Balance Volume (OBV): A cumulative indicator that measures positive and negative volume flow.
Price-Volume Trend (PVT): Similar to OBV, but incorporates relative price change for a more precise measure.
Accumulation/Distribution Line (A/D): Used to identify whether an asset is being bought (accumulated) or sold (distributed).
Chaikin Money Flow (CMF): Measures the money flow over a period based on the close price's position relative to the candle's range.
Money Flow Index (MFI): A momentum oscillator that combines price and volume to measure buying and selling pressure.
Understanding the Normalized Oscillators
The indicator combines the five different momentum indicators by normalizing each one to a uniform range of 0 to 100 .
Why is Normalization Important?
Indicators like OBV, PVT, and the A/D Line are cumulative indicators whose values can become very large. To assess their trend, we use a Moving Average as a dynamic reference line . The Moving Average allows us to understand whether the indicator is currently trending up or down relative to its average behavior over time.
How Does Normalization Work?
Our normalization fully preserves the original trend of each indicator.
For Cumulative Indicators (OBV, PVT, A/D): We calculate the difference between the current indicator value and its Moving Average. This difference is then passed to the normalization process.
- If the indicator is above its Moving Average, the difference will be positive, and the normalized value will be above 50.
- If the indicator is below its Moving Average, the difference will be negative, and the normalized value will be below 50.
Handling Extreme Values: To overcome the issue of extreme values in indicators like OBV, PVT, and the A/D Line , the function calculates the highest absolute value over the selected period. This value is used to prevent sharp spikes or drops in a single indicator from compromising the accuracy of the normalization over time. It's a sophisticated method that ensures the oscillators remain relevant and accurate.
For Bounded Indicators (CMF, MFI): These indicators already operate within a known range (for example, CMF is between -1 and 1, and MFI is between 0 and 100), so they are normalized directly without an additional reference line.
Reference Line Settings:
Moving Average Type: Allows the user to choose between a Simple Moving Average (SMA) and an Exponential Moving Average (EMA).
Volume Flow MA Length: Allows the user to set the lookback period for the Moving Average, which affects the indicator's sensitivity.
The 50 line serves as the new "center line." This ensures that, even after normalization, the determination of whether a specific indicator supports a bullish or bearish trend remains clear.
Settings and Visual Tools
The indicator offers several customization options to provide a rich analysis experience:
VWMF Oscillator (Blue Line): Represents the weighted average of all five indicators. Values above 50 indicate bullish momentum, and values below 50 indicate bearish momentum.
Strength Metrics (Bullish/Bearish Strength %): Two metrics that appear on the status line, showing the percentage of indicators supporting the current trend. They range from 0% to 100%, providing a quick view of the strength of the consensus.
Dynamic Background Colors: The background color of the chart automatically changes to bullish (a blue shade by default) or bearish (a default brown-gray shade) based on the trend. The transparency of the color shows the consensus strength—the more opaque the background, the more indicators support the trend.
Advanced Settings:
- Background Color Logic: Allows the user to choose the trigger for the background color: Weighted Value (based on the combined oscillator) or Strength (based on the majority of individual indicators).
- Weights: Provides full control over the weight of each of the five indicators in the final oscillator.
Using the Data Window
TradingView provides a useful Data Window that allows you to see the exact numerical values of each normalized oscillator separately, in addition to the trend strength data.
You can use this window to:
Get more detailed information on each indicator: Viewing the precise numerical data of each of the five indicators can help in making trading decisions.
Calibrate weights: If you want to manually adjust the indicator weights (in the settings menu), you can do so while tracking the impact of each indicator on the weighted oscillator in the Data Window.
The indicator's default setting is an equal weight of 20% for each of the five indicators.
Alert Conditions
The indicator comes with a variety of built-in alerts that can be configured through the TradingView alerts menu:
VWMF Cross Above 50: An alert when the VWMF oscillator crosses above the 50 line, indicating a potential bullish momentum shift.
VWMF Cross Below 50: An alert when the VWMF oscillator crosses below the 50 line, indicating a potential bearish momentum shift.
Bullish Strength: High But Not Absolute Consensus: An alert when the bullish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bullish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bullish strength, indicating a full and absolute consensus.
Bearish Strength: High But Not Absolute Consensus: An alert when the bearish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bearish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bearish strength, indicating a full and absolute consensus.
Summary
The VWMF indicator is a powerful, all-in-one tool for analyzing market momentum, money flow, and sentiment. By combining and normalizing five different indicators into a single oscillator, it offers a holistic and accurate view of the market's underlying trend. Its dynamic visual features and customizable settings, including the ability to adjust indicator weights, provide a flexible experience for both novice and experienced traders. The built-in alerts for momentum shifts and trend consensus make it an effective tool for spotting trading opportunities with confidence. In essence, VWMF distills complex market data into clear, actionable signals.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Inverse Fisher Oscillator [BigBeluga]The Inverse Fisher Oscillator is a powerful tool for identifying market trends and potential reversal points by applying the Inverse Fisher Transform to normalized price data. This indicator plots multiple smoothed oscillators, each color-coded to signify their relation to dynamic volatility bands. Additionally, the Butterworth filter is incorporated to further refine trend signals. The Inverse Fisher Oscillator offers traders a visually appealing and insightful approach to trend analysis and market direction detection.
🔵 KEY FEATURES
● Inverse Fisher Oscillator Visualization
Multiple Oscillators : The indicator calculates and plots six different Inverse Fisher Oscillators, each smoothed at increasing levels to provide a layered view of price momentum.
Color-Coded Signals : The oscillator lines are color-coded based on their relation to the volatility bands—green for bullish momentum, red for bearish momentum, and yellow for neutral movements.
● Butterworth Filter Integration
Filtering : The Butterworth filter is applied to mid-line Bands to reduce noise, allowing for clearer trend detection.
// Calculate constants for the Butterworth filter
float piPrd = math.pi / mid_len
float g = math.sqrt(2)
float a1 = math.exp(-g * piPrd)
float b1 = 2 * a1 * math.cos(g * piPrd)
float coef2 = b1
float coef3 = -a1 * a1
float coef1 = (1 - b1 + a1 * a1) / 4
// Source data for the Butterworth filter
float source = ifish // The first inverse Fisher Oscillator is used as the source
// Previous source and butter filter values
var float butter = na // Initialize the 'butter' variable
// Handle null values using the nz function
float prevB1 = nz(butter , source) // Use 'source' as a fallback if butter is null
float prevB2 = nz(butter , source) // Use 'source' as a fallback if butter is null
// Calculate the Butterworth filter value
butter := coef1 * (source + (2 * source ) + source ) + (coef2 * prevB1) + (coef3 * prevB2)
● Numbered Signal Marks
Signal Markers : The indicator plots numbered signals on the chart when an oscillator crosses above the upper volatility band or below the lower volatility band.
Numbered Lines : Numbers correspond to the different oscillators (1-6), helping traders easily identify which smoothing level generated the signal.
Visual Cues : The signals are color-coded—green for bullish crossovers and red for bearish crossunders—providing clear visual cues for trend accumulation phases.
Mid-Line Option : Traders can choose between plotting the Butterworth filter as a dynamic mid-line or simply displaying it as part of the bands.
Volatility Bands : Dynamic volatility bands provide additional context for interpreting the strength and sustainability of trends.
● Dashboard Display
Real-Time Market Trend Overview : The dashboard in the bottom-right corner of the chart displays the market trend based on the Inverse Fisher Oscillator for six different smoothing levels, providing a clear visual summary of market direction.
Direction Symbols : Directional symbols (up, down, or neutral) are displayed in the dashboard, color-coded to represent bullish, bearish, or neutral momentum.
Current Price Display : The dashboard also shows the current price and highlights whether it is above or below the opening price.
🔵 HOW TO USE
● Identifying Trend Reversals
Bullish Reversals : When the oscillators short period lines start to cross above the upper volatility band (green), it indicates potential bullish momentum.
Bearish Reversals : When the oscillator crosses below the lower volatility band (red), it signals potential bearish momentum.
Neutral Signals : When the oscillator remains within the bands (yellow), it suggests that the market is in a neutral or consolidating state. Traders may choose to wait for a clearer trend signal.
● Using the Dashboard for Trend Overview
Market Trend Summary : The dashboard provides a quick overview of market direction across six different smoothing levels. Green arrows indicate bullish momentum, red arrows indicate bearish momentum, and wavy lines suggest neutrality.
Price Context : The dashboard also displays the current price, helping traders quickly assess whether the price is moving in the expected direction relative to their trend analysis.
● Volatility Band Interpretation
Volatility-Based Signals : Pay attention to how the oscillators interact with the volatility bands. Strong trends will often result in oscillators staying above or below the bands, while weaker trends or consolidations will see oscillators hovering within the bands.
🔵 CUSTOMIZATION
Length and Smoothing : Adjust the length and smoothing parameters to fit different market conditions and timeframes.
Bands Multiplier : Customize the multiplier for the volatility bands to make them more or less sensitive to price changes.
Mid-Line Type : Choose whether to display the Butterworth filter as a mid-line or incorporate it into the volatility bands.
Signal Markers : Toggle on or off the number markers for signal crossovers, making it easier to identify key entry and exit points.
🔵 CONCLUSION
The Inverse Fisher Oscillator combines the power of the Inverse Fisher Transform and the Butterworth filter to provide a sophisticated approach to trend and reversal detection. By leveraging volatility-based analysis and visually intuitive signals, this indicator helps traders spot potential entry and exit points with greater clarity. The customizable dashboard display adds further value, offering a real-time summary of market conditions to enhance decision-making. Use this tool in conjunction with other technical analysis methods to develop a well-rounded trading strategy.
Capital Accumulation Plan (CAP) Simulator 2.0Description:
This indicator serves as a simulation tool for the Capital Accumulation Plan (CAP). The CAP is an investment strategy involving regular contributions of a fixed amount at consistent intervals, regardless of market fluctuations. This simulator allows you to visualize how your invested capital might grow over time, considering a fixed monthly investment in a given financial instrument.
How to Use:
Customize the monthly investment amount, the day of the month for the investment, and the simulation period. Also, input the percentage of taxation on potential dividends and the Total Expense Ratio (TER) of the financial instrument. The indicator calculates the portfolio value over time, the invested capital, and the average cost. If applicable, it also calculates the dividend amounts over time and the corresponding taxes to be paid.
The indicator displays how these metrics would change over time following the PAC strategy.
Important Notes:
Apply exclusively to the daily chart; a fix for the chosen day absence will be implemented shortly.
TTP Big Whale ExplorerThe Big Whale Explorer is an indicator that looks into the ratio of large wallets deposits vs withdrawals.
Whales tend to sale their holding when they transfer their holdings into exchanges and they tend to hold when they withdraw.
In this overlay indicator you'll be able to see in an oscillator format the moves of large wallets.
The moves above 1.5 turn into red symbolising that they are starting to distribute. This can eventually have an impact in the price by causing anything from a mild pullback to a considerable crash depending on how much is being actually sold into the market.
Moves below 0.5 mean that the large whales are heavily accumulating and withdrawing. During these periods price could still pullback or even crash but eventually the accumulation can take prices to new highs.
Instructions:
1) Load INDEX:BTCUSD or BNC:BLX to get the most historic data as possible
2) use the daily timeframe
3) load the indicator into the chart
Volume accumulation on past range [TCS] | VTAThe indicator calculates buy and sell volume values for different look-back periods based on the high, low, close, and tick volume data of the chart.
The range can be selected by adding the end date and the look-back period, which starts from the end date. It can calculate a maximum of 100 candlesticks.
The calculated buy and sell volume values are stored in separate variables, representing cumulative volume values over their respective look-back periods. It's important to note that the provided code calculates the buy and sell volume values individually for each look-back period and then sums them.
This information can be useful in understanding who is in control of the market during the selected range. The 'heatmap' is particularly helpful in identifying areas of high or low trading activity, which can help define support and resistance levels.
For example, if there is a greater accumulation of bullish volume than bearish volume and a break occurs in a resistance area, it may present a good entry opportunity.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
Trend Identifier StrategyTrend Identifier Strategy for 1D BTC.USD
The indicator smoothens a closely following moving average into a polynomial like plot and assumes 4 staged cycles based on the first and the second derivatives. This is an optimized strategy for long term buying and selling with a Sortino Ratio above 3. It is designed to be a more profitable alternative to HODLing. It can be combined with 'Accumulation/Distribution Bands & Signals' and 'Exponential Top and Bottom Finder'.
Money Flow LineWhat is this? The Money Flow Line (MFL) indicator is at its core a more even-tempered version of the Price-Volume-Trend (PVT). The primary difference is the usage of `hlc3` ((high + low + close) / 3) rather than `close` to use the "typical price" that it critical to the calculation of the Money Flow Index (MFI). Other similar indicators include the Accumulation Distribution Line (ADL) and the On Balance Volume (OBV) indicators. The purpose of all of these indicators is to attempt to measure the strength of the money flow by combining price and volume into a rolling measurement that can be compared over time to look for confirmations and divergences.
The indicator also includes an optional averaging (smoothing) line that can be enabled in the display settings. Enabling this smoothing line with a desired period allows for simpler trend comparisons and also allows the user to view how far the line has diverged from the mean. This creates an indicator very similar to Elder's Force Index (EFI), which is also a `close * volume` style indicator.
Why is this important? After an extreme movement or volume spike the MFI will "snap back" sharply as that bar eventually exits the set period. This produces a result that is meaningless and skews the indicator away from the market structure. Because of this behavior, range clamping, and the loss of comparative history I prefer to shy away from oscillator style indicators. The Money Flow Line instead gives you all of the history so you may compare and see the broader trend without sharp snaps in history based on an arbitrary period setting.
Why is this better? This produces a no-lag indicator that isn't subject to the harsh skewing produced by they Money Flow Index's period calculation. It doesn't lose history like MFI or EFI, is clear about the trend direction, and prefers a "typical price" (averaging the entire range of each bar) rather than whatever happens to be the closing price for a given bar.
How can I use it? The indicator is attempting to measure supply and demand in the markets. No indicator is perfect, but we can use all of the information we have available to make our best predictions. There are only 3 pieces of data the market gives us:
1. Price (action)
2. Volume
3. Time
The Money Flow Line combines all of these data points into a readable rolling data set that attempts to show subtle balance of power shifts based on changes in volume and "smart money" (or "big money") stepping in and out of the picture. Much like PVT, we look for the same things:
- Trend Identification: an up or down trend appears in the MFL
- Confirmations: the MFL agrees with price action in direction and magnitude
- Divergence: the MFL disagrees with price action, indicating a reversal may be coming soon
When applying the smoothing line we can also look for similar things we would with EFI. The primary case would be to look for the MFL to jump very far away from the mean (a high magnitude movement) which indicates that price may be reverting towards the mean soon (a "mean reversion"). On the other hand, it may indicate strength in the current price direction. All of these predictions depend heavily on price action and market structure. Good luck!
Williams Accumulation/DistributionThis is an indicator described by Larry Williams in one of his books. Larry won the 1987 World Cup Championship of Futures Trading, where he turned $10,000 to over $1,100,000 in a 12-month competition with real money.
Larry used this indicator to track divergences between price action and volume, which he called patterns of accumulation (bullish divergence) and distribution(bearish divergence). Its logic is similar to On Balance Volume(OBV), where it accumulates up and down volume in a single line, but also takes into account the size of the candle in its calculation, by taking the difference between the open and close, and the high and the low.
Enjoy!
LebahFX AccDist_CandlesLebahFX Indicator that showing Accumulation and Distribution Signal in HTF Candlestick
Volume Buzz 2.0Volume Buzz/Volume Run Rate as seen on TC2000 and MarketSmith respectively.
Basically, the volume buzz tells you what percentage over average(100 time period moving average) the volume traded was. You can use this indicator to more readily identify above-average trading volume and accumulation days on charts. The percentage will show up in the top left corner, make sure to click the settings button and uncheck the second box(left of plot) in order to get rid of the chart line.
Pictured above, a chart with the volume on the bottom along with the 50-day moving average applied to volume. As you can see in the top left it will tell you the "volume buzz" of that day, telling you what days were on above-average volume and how above-average those days were.
Chaikin Oscillator (ADL Oscillator) [UTS]The Chaikin Oscillator is basically an oscillator version of the Accumulation / Distribution Index, also known as ADL Indicator.
General Usage
The indicator runs both above and below zero, made to denote whether an asset is in a bullish (above zero) or bearish (below zero) trend.
It can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
PriceDivergence (ps4)This script implements price divergence module using signals from several factors like:
RSI, RSI Stochastic, MACD, Volume MA, Accumulation/Distribution, Fisher Transform and CCI
IO_William's Variable Accumulation DistributionThis is an academic version of William's Variable Accumulation Distribution(WVAD) smoothed with a weighted moving average for measuring correlation of price with intraday volume
Normalized Accumulation/Distribution OscillatorThis is the oscillator version of the Accumulation/Distribution volume indicator. The oscillator is normalized by n-period volume moving sum. The value oscillates between 1 and -1. One way to use this oscillator is to identify the divergence between price and oscillator reading in trending market, and to spot potential reversal.
A/D Levelsuses reversal candles to determine accumulation and distribution candles
remembers the last reversal candle and draws a support or resistance line at the reversal level
does a barcolor if the price breaks support/resistance
similar to the hoffman a/d breakout indicator but there is no trend detection components
Volume Accumulation Percentage Indicator (0-100)This indicator is the same as LazyBear's indicator with the same title. I simplified it and changed the range to 0-100 so that it can be stacked with RSI indicator. 50 cross is the equivalent of zero cross in the original indicator.
PS: Drag and drop the indicator on RSI for stacking. Go to the settings and scale it to right.
More explanation on the original indicator:
Buy and Hold, which day of month is best to buy?I wanted to invest a certain fiat amount each month and was wondering which day would be best to do this.
So, with this script, you can set your entry day. On the last day of the date range, it will close all positions. You can then see what amount of the asset you have accumulated to date. If you try all the days of the month and see when you can sell the most amount of the asset, you've found the best buy date of the month for that asset.
A second option is to set an exit day. This is good for a strategy where you would go long (buy) on the entry date and short (sell) on the exit day.
This was inspired by people running out of money by the end of the month and selling their asset, which could make the price fall. Then when they receive the wages by the 5th or so, they would rebuy, causing the price to go up.
God of Scalping BTCUnleash divine precision in the chaotic realm of BTC scalping with the God of Scalping BTC—a bespoke, price-action powerhouse crafted for lightning-fast entries and exits on 1-5 minute charts. Forged from raw momentum velocity (no recycled RSI or MACD here), this indicator detects micro-trend accelerations to pinpoint surge moments where BTC's volatility bends to your will.Core Mechanics:Velocity Engine: Calculates fast (default: 3-bar) and slow (default: 8-bar) price speeds, then derives normalized acceleration using ATR (14-bar) to filter noise in BTC's wild swings.
Surge Detection: Smoothed signal line confirms crossovers—bullish when acceleration surges above signal with positive bias; bearish on the downside.
Volume Guardian: Triggers only on 20%+ volume spikes above its EMA (10-bar), ensuring conviction behind the chaos.
Visual Oracle:Blue/Red Lines: Fast (EMA close, 3-bar) and slow (EMA close, 8-bar) velocity trends for trend context.
Background Glow: Subtle green/red tint for real-time momentum bias.
Divine Arrows: Green triangles below bars for BUY surges; red above for SELL—your scalp signals from the heavens.
Scalping Ritual:Optimal Altar: Load on BTCUSD/USDT (1m-5m). Tune lengths for your broker's feed.
Invocation: Enter long on green arrow (target 0.1-0.3% gains), short on red. Tight stops at recent swings; exit on opposite signal or threshold breach (1.5x mult).
Alerts: Built-in notifications—"God Surge Buy: BTC Scalp Entry!"—to summon you mid-prayer (er, trade).
Backtested for BTC's fury, this isn't a holy grail, but a scalper's Excalibur: pure, adaptive, and unyielding. Trade wisely—markets are mortal, your edge is eternal.
Trading Activity Index (Zeiierman)█ Overview
Trading Activity Index (Zeiierman) is a volume-based market activity meter that transforms dollar-volume into a smooth, normalized “activity index.”
It highlights when market participation is unusually low or high with a dynamic color gradient:
Light Blue → Low Activity (thin participation, low liquidity conditions)
Red/Orange → High Activity (active markets, large trades flowing in)
Additional percentile bands (20/40/60/80%) give context, helping you see whether the current activity level is in the bottom quintile, mid-range, or near historical extremes.
█ How It Works
⚪ Dollar Volume Transformation
Each bar, dollar volume is computed:
float dlrVol = close * volume
float dlrVolAvg = ta.sma(dlrVol, len_form)
Dollar volume = price × volume, smoothed by a configurable SMA window.
The result is log-transformed, compressing large outliers for a more stable signal.
⚪ Rolling Percentiles & Ranking
The log-dollar-volume series is compared to its rolling history (len_hist bars):
float p20 = ta.percentile_linear_interpolation(vscale, len_hist, 20)
float p40 = ta.percentile_linear_interpolation(vscale, len_hist, 40)
float p60 = ta.percentile_linear_interpolation(vscale, len_hist, 60)
float p80 = ta.percentile_linear_interpolation(vscale, len_hist, 80)
A normalized rank (0–1) is produced to color the main Trading Activity line.
█ How to Use
⚪ Detect High-Impact Sessions
Quickly see if today’s session is active or quiet relative to its own history — great for filtering setups that need activity.
⚪ Spot Breakouts & Traps
Combine with price action:
High activity near breakouts = strong follow-through likely.
Low activity breakouts = vulnerable to fake-outs.
⚪ Market Regime Context
Percentile bands help you assess whether participation is building up, in the middle of the range, or drying out — valuable for timing mean-reversion trades.
Above 80th percentile (red/orange) → Market is highly active, breakout trades and trend strategies are favored.
Below 20th percentile (light blue) → Market is quiet; fade moves or wait for expansion.
Watch transitions from blue → orange as a signal of growing institutional participation.
█ Settings
Formation Window (bars) – Number of bars used to average dollar volume before log transform.
History Window (bars) – Lookback period for percentile calculations and rank normalization.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
