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
Buscar en scripts para "accumulation"
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.
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.
Orderblocks | iSolani
Revealing Institutional Footprints: The iSolani Volume-Powered Order Block System
Where Smart Money Leaves Its Mark – Automated Zone Detection for Discretionary Traders
Core Methodology
Pressure-Weighted Volume Analysis
Calculates directional commitment using candle position:
Buying Pressure = Total Volume × (Closing Price – Low) / (High – Low)
Selling Pressure = Total Volume × (High – Closing Price) / (High – Low)
Normalizes values against 31-period EMAs to filter retail noise
Adaptive Block Triggering
Identifies significant zones when:
Absolute Buy/Sell Difference > 4× SMA of Historical Differences (default)
Price closes bullishly (green block) or bearishly (red block)
Self-Maintaining Visualization
Blocks auto-extend rightward until price breaches critical level
Invalidated zones removed in real-time via array management
Technical Innovation
Dynamic Threshold Adjustment
Multiplier parameter (default 4) automatically scales with market volatility
Institutional-Grade Metrics
Blocks display:
Volume disparity in absolute terms
Percentage deviation from 33-period average
Directional bias through color-coding
Efficient Memory Handling
O(n) complexity cleanup routine prevents chart lag
System Workflow
Calculates real-time buy/sell pressure ratios
Compares to historical average (31-period default)
Generates semi-transparent zones (85% opacity) at spike locations
Monitors price interaction with block boundaries
Automatically retracts invalid zones
Standard Configuration
Sensitivity : 4× multiplier (ideal for 15m-4h charts)
Visuals : Red/green blocks with white text labels
Duration : 50-bar default extension
Volume Baseline : 33-period EMA filter
Boundary Check : Close beyond block high/low triggers deletion
This system transforms raw market data into a institutional roadmap – not by predicting turns, but by revealing where concentrated volume makes turns statistically probable. The color-coded blocks serve as persistent yet adaptive markers of where professional liquidity resides.
Volume using Candle RangeAnother way of finding out a rough estimate of the volume or how much bulls or bears were in control using only the range of the candlesticks in relation to the closing price. If the close is in the higher range zone then the volume is said to have been positive, if the close is in the lower range zone then the volume is said to have been negative. The close is compared to the midpoint of the candle to see how far from the midpoint the close was.
The columns bars show how far each candlestick's close price is to the midpoint of its high and low. It's possible for the column bar to be a different color than the candlestick itself if the close was above or below the midpoint. An average line is shown that takes the average of a given length amount of column bars. There is an option to show the absolute value only of the columns and the average line.
This is based on an idea I found about candlestick range bars implying volume. This is an attempt to put that theory into practice and to see if there's any truth to it. It's not exactly volume and may not always look like it, and it does not show how many trades took place but instead tries to use price in relation to the high and low range.
Divergence TemplateDivergence Template!
This public indicator helps you to find as many divergences with as many indicators you like, without the long hassle of knowing and coding the divergence yourself.
Just replace the "Divergence Condition" with your formula and give it a title in the second step, everything simply illustrated to someone without any coding experience!
This example is calculating A/D Divergences.
Let's make 2021 great!
With help of @madoqa.
Whale Trading SystemThis script is an advanced version of the distributional blocks script.
In distributional buys and sells:
I used a high - low cloud filter, which makes it more prudent to sell the next sell higher for sells and to buy the next purchase lower for buys.
I also used the Stochastic Money Flow Index function because it also uses volume to separate regions.
The long period is 52 weeks, which is equal to one year,
The short period is one-fourth of its value, which is equal to a financial quarter.
Then the values calculated with these periods are calculated by stochastic - rsi logic within the function, giving us two averages and separating the regions according to crossovers and crossunders .
In buys and sales, the higher your next distributional position size makes your profit more .
In the old system, there was a confusion as it was not divided into zones.
Because we divide into zones here, zone changes are the last stop to free up existing positions, and you must reopen each time you change zones.
And I changed standard distribution days, depending on the price change and the histogram, as StochMFI also took into account the volume.
In this way, there is sustainability.
I am also sharing my educational idea that explains the logic of this system in more detail :
Now that we have been divided into regions, a maximum of 10 pieces will suffice us.
And the regional shifts will allow us to sell and buy all of our position size, and now we will feel much more comfortable.
The most timeframe I find most accurate are the weekly bars.
Even in the example, we see how we have benefited from the sharp drop in bitcoin, while the price is falling, and we have lowered the average with higher-weight purchases than the previous one.
In both buys and sales here, both the histogram intensities and the average of the purchases you have reduced with the transactions, or the earnings you have increased with the sales, guide you.
In areas with high volatility ,if we adjust our positions properly, even if we follow the changes in the region, we will get rid of those situations with few wounds and we will surely catch the trend!
NOTE : Crossover/crossunder and distributional buy/sell alerts added.
Best regards , Noldo.
Distribution Position Size Panel
This panel is an example position size panel that I prepared and I consider the rates reasonable.
I have prepared this panel so that the money allocated to the investment ends 14 consecutive signals.
The sum of the ratios is 100 units.
You can adjust your positions according to this panel.
The first steps are low rates.
If the phrases are strong, you can specify a position size from the lower digits.
Likewise, when you make a big profit, you can empty your profits in the lower steps.
In the event of a color change, you can return to the beginning or lower limit.
NOTE: This script is an auxiliary command to the distribution blocks script,
if you want to use another script, you can add distribution days to yours.
14 th stake does not appear in the preview, you need to reduce the size of the distribution blocks indicator slightly.
Rafael Zioni's examples of the panels helped a lot, thanks to him.
Stay tuned ! Regards , Noldo.
Distribution Days-BuschiThis script is a simple extension of the script "Distribution Day" from user "kalle2017". Thanks to him!
As the name suggests, the idea is to recognize "distribution days", when the "firm hands sell to the shaky hands" (Kostolany). So, too many distribution days in a certain timeframe can be a sign for a coming correction / bear market.
A distribution day gets triggered when a loss compared on the day before exceeds 0.2 % and the trading volume is higher.
This indicator works on any daily chart symbol but should be primarily used on major indexes.
Possible inputs are "days back" to count how many trading should be examined(default: 25). Additionally, I implemented the possibility to draw a moving average (default: exponential, 50), to eliminate distribution days below, because it is more of an indicator for the upside. Perhaps a little bit too much / too complicated, therefore it is off by default.
Smoothened Williams A/D Strategy Accumulation is a term used to describe a market controlled by buyers;
whereas distribution is defined by a market controlled by sellers.
Williams recommends trading this indicator based on divergences:
Distribution of the security is indicated when the security is making
a new high and the A/D indicator is failing to make a new high. Sell.
Accumulation of the security is indicated when the security is making
a new low and the A/D indicator is failing to make a new low. Buy.
WARNING:
- This script to change bars colors.
