Price Map Profile [BigBeluga]An advanced volume-based tool designed to map out how trading activity is distributed across price levels. It combines dynamic volume profiling with structural pivot detection to highlight key levels of interest in the market â including hidden support/resistance zones and dominant liquidity areas.
Unlike traditional volume profiles locked to fixed sessions, this indicator continuously processes historical bars to build a real-time "map" of volume distribution. It intelligently reveals where buyers and sellers were most active, helping traders pinpoint high-impact zones with clarity.
ðµ KEY FEATURES
Creates a volume map profile by scanning price action over a defined lookback window (`length`).
Divides price vertically into volume bins (default: 100) and aggregates either total volume or bar count per bin.
Bins are plotted as horizontal zones extending to the right of the chart â wider offset means more volume at that price.
Each zone is color-coded using gradients to represent volume magnitude:
- Below average volume = cool tones (blue/teal)
- Above average volume = warm tones (red/orange)
The highest volume bin is highlighted with a red label showing the exact volume, helping to identify strong price agreement.
Detects pivot highs and lows using a 15-bar swing method, marking them as potential S/R levels.
If a pivot level is located inside a low-volume zone (volume < average), it is emphasized with a dashed line and label .
Pivot line color matches direction:
- High pivots = yellow
- Low pivots = aqua
The volume of the bin containing the pivot is shown alongside the pivot, providing volume context for the structural level.
Filters out nearby duplicate pivots using ATR-based distance checks to ensure clean and non-redundant signals.
ðµ HOW TO USE
Use the wide red zones as liquidity and consolidation areas where price may stall, reverse, or absorb volume.
Pivot-based dashed lines within low-volume zones highlight hidden support/resistance levels where price may react sharply.
Combine this indicator with trend or order flow tools to validate reversal or breakout setups .
Switch between Volume and Frequency modes to adapt to the type of data your asset provides.
ðµ CONCLUSION
The Price Map Profile transforms raw volume into an actionable visual map. By aligning volume depth with key market structure levels, it helps traders identify where market participants are most active â and where hidden inefficiencies lie. Ideal for traders seeking precision entries, dynamic S/R zones, and deeper volume structure insight.
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Dashboard MTF profile volume Indicator Description
This indicator, titled "Swing Points and Liquidity & Profile Volume," combines multiple features to provide a comprehensive market analysis:
Volume Profile: Displays buy and sell volumes across multiple timeframes (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, 1 day).
Volume Moving Averages: Plots two moving averages (short and long) to analyze volume trends.
Dashboard: A summary dashboard shows buy and sell volumes for each timeframe, with distinct colors for better visualization.
Swing Points: Identifies liquidity levels and swing points to help pinpoint key entry and exit zones.
How to Use
1. Indicator Installation
Go to TradingView.
Open the Pine Script Editor.
Copy and paste the provided code.
Click on "Add to Chart."
2. Indicator Settings
The indicator offers several customizable parameters:
Display Volume (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, 1 day): Enable or disable volume display for each timeframe.
Short Moving Average Length (MA): Set the short moving average period (default: 5).
Long Moving Average Length (MA): Set the long moving average period (default: 14).
Dashboard Position: Choose where to display the dashboard (bottom-right, bottom-left, top-right, top-left).
Text Color: Customize the text color in the dashboard.
Text Size: Choose text size (small, normal, large).
3. Using the Indicator
Volume Analysis
The dashboard displays buy (Buy Volume) and sell (Sell Volume) volumes for each timeframe.
Buy Volume: Volume of trades where the closing price is higher than the opening price (aggressive buying).
Sell Volume: Volume of trades where the closing price is equal to or lower than the opening price (aggressive selling).
Volumes are displayed in real-time and update with each new candle.
Volume Moving Averages
Two moving averages are plotted on the chart:
MA Volume (Short): Short moving average (blue) to identify short-term volume trends.
MA Volume (Long): Long moving average (red) to identify long-term volume trends.
Use these moving averages to spot accumulation or distribution periods.
Swing Points and Liquidity
Swing points are identified based on price levels where volumes are highest.
These levels can act as support/resistance zones or liquidity areas to plan entries and exits.
Usage Guidelines
1. Entering a Position
Buy (Long):
When Buy Volume is significantly higher than Sell Volume across multiple timeframes.
When the short moving average (blue) crosses above the long moving average (red).
Sell (Short):
When Sell Volume is significantly higher than Buy Volume across multiple timeframes.
When the short moving average (blue) crosses below the long moving average (red).
2. Exiting a Position
Use liquidity levels (swing points) to set profit targets or stop-loss levels.
Monitor volume changes to anticipate trend reversals.
3. Risk Management
Use stop-loss orders to limit losses.
Avoid trading during low-volume periods to reduce false signals.
Compliance with Trading View Guidelines
Intellectual Property:
The code is provided for educational and personal use. You may modify and use it but cannot resell or distribute it as your own work.
Responsible Use:
Trading View encourages responsible use of indicators. Test the indicator on a demo account before using it in live trading.
Transparency:
The code is fully transparent and can be reviewed in the Pine Script Editor. You may modify it to suit your needs.
Practical Examples
Scenario 1: Bullish Trend
Buy Volume is high on 1-hour and 4-hour time frames.
The short moving average (blue) is above the long moving average (red).
Action: Open a long position (Buy) and set a stop-loss below the last swing low.
Scenario 2: Bearish Trend
Sell Volume is high on 1-hour and 4-hour time frames.
The short moving average (blue) is below the long moving average (red).
Action: Open a short position (Sell) and set a stop-loss above the last swing high.
Wave Consolidation [LuxAlgo]The Wave Consolidation indicator uses market profiles to highlight consolidation zones based on upward and downward moves determined when a Higher-High or Lower-Low is created.
Users can control the amount of consolidation zones to display and the sensitivity of the swing point detection used to return those zones.
ð¶ USAGE
These zones are intended as areas of interest to traders where price has seen historical interactions, which can be interpreted as support and resistance. By identifying these areas of interest before the price returns to them, traders are able to anticipate and prepare for various scenarios and respond dynamically to the behavior of the market, as seen below.
Rejection: A quick move away from the zone may indicate that the area is either overvalued or undervalued, leading to a fast movement in the opposite direction.
Breakthrough: Moving beyond a zone could indicate acceptance at that specific price, potentially signaling a shift in momentum or the start of a new trend. In a strong major trend, zones created from smaller trends could be used as price targets for taking profit and managing risk.
Consolidation: Holding these zones might suggest a market in balance at these levels, this could lead to opportunities for range-bound trading.
Below is an example of the Rejection and Consolidation scenarios described above.
Note: By analyzing the tests and retests of these zones, traders can also gain further insight into where participants are interacting in the market.
ð¶ DETAILS
The full process for acquiring and managing these zones is described in the sub-sections below.
ð¹ Creation
By only considering market movements creating a higher-high or lower-low, we can identify meaningful, directional, moves which can then be used to calculate zones.
Once a move is identified, the script calculates a volume profile spanning the length of the given move.
The width of the zones is determined starting from the POC of the profile and expanding outwards until the value of the profile's row falls below the profile's average.
Note: By increasing the "Multiplier" Input, Users can increase the threshold the script uses to determine zone width in multiples of Standard Deviations above the Average.
While this area is similar to a VP Value Area, it is not intended to replicate a value zone. The calculation is not concerned with capturing any % of the total profile's volume within the zone and only analyzes based on a fixed inclusion threshold.
ð¹ Management
To keep clutter to a minimum, If a new zone overlaps a recently created zone, the zones are grouped as one. This is especially helpful in areas where prices are ranging, creating multiple zones in a very similar area.
Zones before management:
Zones after management:
ð¹ Deletion
Just because a zone is crossed, does not make it immediately unimportant!
Once a Zone is mitigated (crossed in the opposite direction of its bias) it is reduced to a single dotted line representing the outer threshold for the zone. These lines are important to watch, as the price will often retest a break. For this reason, they will stay on the chart until the next swing point is detected when they will finally be deleted for good.
Below is an example of activity around a broken zone before it is deleted.
Below is the same example 2bBars later , once the new swing is confirmed, the dotted lines are deleted and new zones are created.
Notice how the newly formed resistance zone is in the same area where we noticed sellers previously.
ð¶ SETTINGS
ð¹ Structure
Display Structure: Determines if swing structures are displayed.
Structure Length: Sets Length for structure identification.
ð¹ Zones
Volume-Based Calculations: Opt to use a "Volume" based Profile Calculation instead of the default "Price Action" based Calculation.
Display Count: Sets the specific number of bullish and bearish zones to display on the chart.
Multiplier: Sets the multiplier to use for the value cut-off for determining zone boundaries.
ð¹ Style
Display Average Lines: Toggles on/off the average (mid) lines for the zones.
Volume Footprint Voids [BigBeluga]Volume Footprint Voids is a unique tool that uses lower timeframe calculation to plot different styles of single candle POC.
This indicator is very powerful for scalping and finding very precise entry and exits, spotting potential trapped traders, and more.
Unlike many other volume profiles, this aims to plot single candle profiles as well as their own footprints.
ð¶ FEATURES
The script includes the following settings:
Windows: Plotting style and calculations
Coloring modes
Display modes
lower-timeframe calculations
ð¶ CALCULATION
In the image above we can see how the script calculates each level position that will serve as a calculation process to see how much volume/closes there are within the levels.
In the image above, we can have a more clear example of how we count each candle close.
We use the prior screenshot as an example, after setting each level we will use the lower-timeframe input to measure the amount of closes within the ranges.
Depending on the lot size, the box will be larger or smaller, usually the POC will always have the highest box size.
NOTE: Size is the starting point, always from the low of the candle.
To find more voids, select a closer LTF to the current one you're using.
To find fewer voids, select a timeframe away from your current one.
Due to Pine Script limitations, we are only able to plot a certain amount of footprints, and we can't plot the whole history chart.
POC will be the largest block displayed, indicating the time point of control
Gray areas are closes above the average
Black are Void or imbalance that price will fill in the future, like FVG
The image above shows an incorrect size input that will lead to bad calculations, while on the other side, a correct size input that will lead to a clear vision and better calculation.
ð¶ WINDOWS
The "â²âŒ" Mode will display delta buyers and delta sellers coloring with voids as black.
It also offers a gradient mode for a beautier visualization
The "Total Volume" mode will display the net volume within the lot size (closes within the levels).
This is useful to spot possible highest net volume within the same highest lot size.
The "POC + Gaps" will show both POC and Gaps as the highest block while all the rest will be considered as the smaller block.
This is useful to see where the highest lot were and if there are higher or lower imbalances within the candle
The last option "Gaps" will simply display the gaps as the highest block, while the POC as the lowest block.
This is useful to have a better view of the gaps areas
ð¶ EXAMPLE
This is one of the most basic examples of how this script can be used. POC at the bottom creating a strong support area as price holds and creates higher voids gap that price fills while rising.
ð¶ SETTINGS
Users have full control over the script, from colors to choosing the lower-timeframe inputs to disabling the lot size.
Market Profile Visible RangeSup TV, 2 important points .
1) surprisingly, it's the first MP Visible Range script on TV;
2) This one doesn't use any bagging/binning*, instead each row represents the time spent on the actual minimal price steps (aka ticks).
The script will be further extended with usual market profile related functionally in future updates. At this point we have:
- Profile itself (each row represents how many bars touch the given price);
- Mode of the profile (called POC)**;
* Still it will be introduced in future when I will find / design the proper aggregating technique. It is vital for processing very wide price ranges (for example, 500 days on ES futures).
** The script correctly calculates POC by finding all the modes in the data & choosing the closest one to data's midrange.
For this kind of technical instrument finally it was more convenient to use Pine Script 5 (btw it's my first Pine 5).
Basically this script is a side-effect of another R&D I'm doing, the stuff is useful tho so let's go.
By choosing length we both specify the amount of data to be processed & the profile's location screen-wise. It's pretty cool and & useful, on my screen it's always almost touching the left side and still always visible.
The code is heavily commented in order to be understood fast, nothing fantastic, just a lil patience required this time.
Rationale
Market & volume profiles are well known concepts, lotta info available, the most important point of all that is that MP is just another way of visualizing data that lets you notice things you don't usually notice on sequential charts. From my side I can only add that it's better to use your own brain for thinking and reconsidering using volume profile in all the cases, especially on decentralized markets (unless you're aggregating ALL the volume data from everywhere, including options, OTC etc).
Here is it, for you
Volume Range Profile with Fair Value (Zeiierman)â Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range â and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
Youâre not just looking at volume anymore. Youâre dissecting whoâs in control â and at what price.
⪠In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity â typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume â often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone â considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time â visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC â revealing whoâs in control
â How It Works
⪠Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⪠Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⪠Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ⥠Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⪠Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically â green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
â How to Use
⪠Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⪠Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⪠Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
â Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) â Total volume where candles closed bullish
Sell Vol (red label) â Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol â Bullish accumulation zone
Higher Sell Vol â Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
â Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % â How much of the volume was buying (price closed up)
Sell % â How much was selling (price closed down)
Total % â How much of the entire zoneâs volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % â Strong buying interest = likely support
High Sell % + High Total % â Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
â Why Itâs Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
â Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
-----------------
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.
Volume Positive & Negative Levels [ChartPrime]Volume Positive & Negative Levels
Overview:
The Volume Positive & Negative Levels indicator by ChartPrime is designed to provide traders with a clear visualization of volume activity across different price levels. By plotting volume levels as histograms, this tool helps identify significant areas of buying (positive volume) and selling (negative volume) pressure, enhancing the ability to spot potential support and resistance zones.
Key Features:
⯠Lookback Period:
- The `lookbackPeriod` parameter, set to 500 bars, determines the range over which the volume analysis is conducted, ensuring a comprehensive view of the marketâs volume activity. The maximum lookback period is 500 bars or the bars currently visible on the chart, whichever is smaller.
⯠Dynamic Volume Calculation:
- Volume is calculated dynamically based on the price action, with positive volume indicating buying pressure (close > open) and negative volume indicating selling pressure (close < open).
⯠Color Coding for Clarity:
- Positive Volume: Represented with a distinct color (`#ad9a2c`), making it easy to identify areas of buying interest.
- Negative Volume: Highlighted with another color (`#ad2cad`), simplifying the detection of selling pressure.
Volume Threshold and Bins:
- The indicator allows users to set a volume threshold (`volume_level`) to highlight significant volume levels, with the default set at 70.
- The number of bins (`numBins`) defines the granularity of the volume profile, with a higher number providing more detail.
⯠Volume Profile Visualization:
- The volume profile is plotted as a histogram, with the height of each bar proportional to the volume at that price level. This visualization helps in quickly assessing the strength of volume at various price points.
⯠Interactive Labels and Threshold Indicators:
- Labels: The indicator uses labels to mark significant volume levels, providing quick reference points for traders.
- Threshold Lines: Lines are drawn at specified volume thresholds, with colors and widths dynamically adjusted based on the volume levels.
⯠User Inputs:
- Volume Threshold (`volume_level`): Sets the minimum volume required to highlight significant levels.
- Number of Bins (`numBins`): Determines the resolution of the volume profile.
- Line Width (`line_withd`): Specifies the width of the lines used in the visualization.
The Volume Positive & Negative Levels indicator is a powerful tool for traders looking to gain deeper insights into market dynamics. By providing a clear visual representation of volume activity across different price levels, it helps traders identify key support and resistance zones, spot trends, and make more informed trading decisions. Whether you are a day trader or a swing trader, this indicator enhances your ability to analyze volume data effectively, improving your overall trading strategy.
Magnifying Glass (LTF Candles) by SiddWolfâ âOVERVIEW
This indicator displays The Lower TimeFrame Candles in current chart, Like Zooming in on the Candle to see it's Lower TimeFrame Structure. It plots intrabar OHLC data inside a Label along with the volume structure of LTF candle in an eloquent format.
â âQUICK GUIDE
Just apply it to the chart, Hover the mouse on the Label and ta-da you have a Lower Timeframe OHLC candles on your screen. Move the indicator to the top and shrink it all the way up, because all the useful data is inside the label.
Inside the label: The OHLC ltf candles are pretty straightforward. Volume strength of ltf candles is shown at bottom and Volume Profile on the left. Read the Details below for more information.
In the settings, you will find the option to change the UI and can play around with Lower TimeFrame Settings.
â âDETAILS
First of all, I would like to thank the @TradingView team for providing the function to get access to the lower timeframe data. It is because of them that this magical indicator came into existence.
Magnifying Glass indicator displays a Candle's Lower TimeFrame data in Higher timeframe chart. It displays the LTF candles inside a label. It also shows the Volume structure of the lower timeframe candles. Range percentage shown at the bottom is the percentage change between high and low of the current timeframe candle. LTF candle's timeframe is also shown at the bottom on the label.
This indicator is gonna be most useful to the price action traders, which is like every profitable trader.
How this indicator works:
I didn't find any better way to display ltf candles other than labels. Labels are not build for such a complex behaviour, it's a workaround to display this important information.
It gets the lower timeframe information of the candle and uses emojis to display information. The area that is shown, is the range of the current timeframe candle. Range is a difference between high and low of the candle. Range percentage is also shown at the bottom in the label.
I've divided the range area into 20 parts because there are limitation to display data in the labels. Then the code checks out, in what area does the ltf candle body or wick lies, then displays the information using emojis.
The code uses matrix elements for each block and relies heavily on string manipulation. But what I've found most difficult, is managing to fit everything correctly and beautifully so that the view doesn't break.
Volume Structure:
Strength of the Lower TimeFrame Candles is shown at the bottom inside the label. The Higher Volume is shown with the dark shade color and Lower Volume is shown with the light shade. The volume of candles are also ranked, with 1 being the highest volume, so you can see which candle have the maximum to minimum volume. This is pretty important to make a price action analysis of the lower timeframe candles.
Inside the label on the left side you will see the volume profile. As the volume on the bottom shows the strength of each ltf candles, Volume profile on the left shows strength in a particular zone. The Darker the color, the higher the volume in the zone. The Highest volume on the left represents Point of Control (Volume Profile POC) of the candle.
Lower TimeFrame Settings:
There is a limitation for the lowest timeframe you can show for a chart, because there is only so much data you can fit inside a label. A label can show upto 20 blocks of emojis (candle blocks) per row. Magnifying Glass utilizes this behaviour of labels. 16 blocks are used to display ltf candles, 1 for volume profile and two for Open and Close Highlighter.
So for any chart timeframe, ltf candles can be 16th part of htf candle. So 4 hours chart can show as low as 15 minutes of ltf data. I didn't provide the open settings for changing the lower timeframe, as it would give errors in a lot of ways. You can change the timeframe for each chart time from the settings provided.
Limitations:
Like I mentioned earlier, this indicator is a workaround to display ltf candles inside a label. This indicator does not work well on smaller screens. So if you are not able to see the label, zoom out on your browser a bit. Move the indicator to either top or bottom of all indicators and shrink it's space because all details are inside the label.
â âHow I use MAGNIFYING GLASS:
This indicator provides you an edge, on top of your existing trading strategy. How you use Magnifying Glass is entirely dependent on your strategy.
I use this indicator to get a broad picture, before getting into a trade. For example I see a Doji or Engulfing or any other famous candlestick pattern on important levels, I hover the mouse on Magnifying Glass, to look for the price action the ltf candles have been through, to make that pattern. I also use it with my "Wick Pressure" indicator, to check price action at wick zones. Whenever I see price touching important supply and demand zones, I check last few candles to read chart like a beautiful price action story.
Also volume is pretty important too. This is what makes Magnifying Glass even better than actual lower timeframe candles. The increasing volume along with up/down trend price shows upward/downward momentum. The sudden burst (peak) in the volume suggests volume climax.
Volume profile on the left can be interpreted as the strength/weakness zones inside a candle. The low volume in a price zone suggests weakness and High volume suggests strength. The Highest volume on the left act as POC for that candle.
Before making any trade, I read the structure of last three or four candles to get the complete price action picture.
â âConclusion
Magnifying Glass is a well crafted indicator that can be used to track lower timeframe price action. This indicator gives you an edge with the Multi Timeframe Analysis, which I believe is the most important aspect of profitable trading.
~ @SiddWolf
VP and POCThis code is credited to juliangonzaconde. Have taken his help to modify his beautiful creation.
Volume profile is a key study when comes to understanding the auction trading process. Volume Profiles will show you exactly how much volume, as well as relative volume, occurred at each price as well as the exact number of contracts for the entire session. It is a visualization tool to understand the high activity zone and low activity zone.
Volume profile measures the confidence of the traders in the market. From short term trading perspective monitoring the developing volume profile in realtime make more sense to track current market participation behavior to take better trading decisions.
Hope this helps you in trading on daily timeframe.
Happy Trading.
Crypto Volume Data (VAH,POC,VAL)Crypto Volume Data (VAH, POC, VAL) â Multi-Exchange Aggregated Volume Zones
This indicator delivers a high-precision volume profile for crypto assets by aggregating real traded volume across Binance, Bybit, Coinbase, Kraken, OKX, and MEXC. It auto-detects multiple quote pairs (USD, USDT, USDC, FDUSD, USDT.P, USDC.P) and merges the live volume distribution respecting each exchangeâs volume for that symbol to calculate institutional-grade VAH, POC, and VAL levels.
No matter which symbol or pair from which exchange is open on the chart, the script dynamically detects the base asset and fetches volume from all matching pairs on supported exchanges. For example, whether you load BTC/USDT, ETH/USDT.P, or SOL/FDUSD, the system identifies the symbol and aggregates volume from all relevant pairs of that symbol across all mentioned exchanges, weighting them based on real volume. This leads to significantly more accurate value areas â especially compared to single-source or single-pair profiles that miss fragmented liquidity and the real volume of each exchange.
This script is fully plug-and-play. Thereâs no need to select lookback windows or configure pairs â it's already optimized with pre-set internal parameters for common trading timeframes. (Still, you can adjust for your needs in the settings, but keep in mind more lookback is not necessarily a good thing â it might affect the accuracy of your output depending on the timeframe.)
Key Features:
Live aggregation of volume across 5 exchanges
Supports most listed altcoins with reliable quote pair coverage
Dynamic auto symbol/quote detection and normalization
Automatically adapts to any crypto chart without user setup
Real institutional zones â not synthetic, not heuristic
Why It Matters:
In fragmented crypto markets, liquidity isnât centralized. Volume for a coin like ETH may be split between USDT on Binance, USD on Kraken, or USDC on MEXC. Most indicators ignore that. This tool doesnât. It brings that volume together to provide the most contextually accurate VAH/POC/VAL levels possible, tailored to the charted asset and timeframe.
This isn't just another volume indicator. Itâs built from the ground up to capture where the real trades happen â not just where price moved â and shows you the zones that institutions and large players respect.
Disclaimer:
This tool is for educational and informational purposes only. It does not constitute financial advice or an invitation to trade. Always do your own research and manage risk responsibly.
Credits:
Volume unification logic, cross-pair normalization, and exchange weighting system developed by me. No third-party libraries or reused scripts involved. Original architecture built from scratch for high-resolution crypto volume profile analysis.
Note:
Script designed to respect TradingView limits for both free and paid accounts, with a smart fallback system in case of hitting the limit. If you find any bug, error, or issue, kindly comment below. I will address and fix them ASAP.
Enjoy and cheers.
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the marketâs most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methodsâSwings, Pivots, Fibonacci, Order Blocks, and Volume Profileâinto a single, unified system.
Zone Clustering: Automatically merges nearby levels into âzonesâ to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single âzone.â
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
âSWâ stands for Swing High/Low, and âVWAPâ stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the assetâs volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Order Flow Delta Matrix Pro @MaxMaserati 2.0Order Flow Delta Matrix Pro @MaxMaserati 2.0
Institutional-level order flow analysis
This advanced indicator displays institutional order flow data in an easy-to-read time-series matrix, revealing hidden buying and selling pressure that drives price movements.
KEY FEATURES
ð¥ REAL-TIME DELTA TRACKING
- Delta Row: Net buying vs selling pressure per time period
- Live Countdown: Shows exact time remaining until next candle close
- Extended historical view for pattern recognition
CUSTOMIZABLE ROWS (Toggle On/Off)
- Max Delta: Highest buying pressure spikes (accumulation zones)
- *Min Delta: Lowest selling pressure spikes (distribution zones)
- Cumulative Delta: Running total showing institutional bias
- Delta/Volume Ratio: Quality of directional flow vs total volume
- Session Delta: Net flow since session start
- Volume: Raw transaction volume with high-volume highlighting
ADVANCED CONTROLS
- Time Direction: View oldestânewest OR newestâoldest
- 12/24 Hour Format: Choose your preferred time display
- Current Time Highlighting: Blue highlight on active time period
- Full Color Customization: Adapt to any chart theme
- Smart Sensitivity: Low/Normal/High modes for different markets
ð HOW TO USE IT
ð¢ BULLISH SIGNALS
- Positive Delta Spikes: Look for green +500K+ delta values
- Rising Cumulative Delta: Upward trending cumulative line = institutional accumulation
- High Max Delta: Strong buying pressure at support levels
ðŽ BEARISH SIGNALS
- Negative Delta Spikes: Look for red -500K+ delta values
- Falling Cumulative Delta: Downward trending cumulative = institutional distribution
- High Min Delta: Strong selling pressure at resistance levels
PRO TECHNIQUES
-Divergence Analysis: Price goes up but cumulative delta goes down = potential reversal
- Volume Confirmation: High delta + high volume = strong institutional conviction
- Session Bias: Positive session delta = bullish bias, negative = bearish bias
BEST USED FOR
- Scalping: 1-5 minute timeframes for quick institutional flow detection
- Day Trading: 15-60 minute timeframes for session bias and reversal spots
- Volume Profile: Combine with volume profile for complete order flow picture
- Futures Trading: Excellent for ES, NQ, crude oil, forex majors
PRO TIPS
1. Watch for Delta Divergences - Most reliable reversal signal
2. High Volume + High Delta = Institutional activity
3. Session Delta Direction = Overall market bias
4. Blue highlighted column= Current live data
5. Use with Support/Resistance for entry/exit timing
IMPORTANT NOTES
- Works on ALL timeframes and ALL markets
- Real-time updates for live trading decisions
- Historical data available for backtesting strategies
- No repainting - all signals are final and reliable
The matrix format makes complex data easy to interpret, giving a significant edge in understanding market dynamics and smart money order timing.
Advanced Moving Average ChannelAdvanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective.
Key Features:
1. Dynamic Channel Formation
- Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA)
- Separate upper and lower band calculations
- Customizable band offsets for precise channel adjustment
2. Volume Analysis Integration
- Multi-timeframe volume analysis (1H, 24H, 7D)
- Relative volume comparison against historical averages
- Volume trend detection with visual indicators
- Price-level volume distribution profile
3. Market Context Indicators
- RSI integration for overbought/oversold conditions
- Channel position percentage
- Volume-weighted price levels
- Breakout detection with visual signals
Usage Guidelines:
1. Channel Interpretation
- Price within channel: Normal market conditions
- Price above upper band: Potential overbought condition
- Price below lower band: Potential oversold condition
- Channel width: Indicates market volatility
2. Volume Analysis
- High relative volume (>150%): Strong market interest
- Low relative volume (<50%): Weak market interest
- Volume trend arrows: Indicate increasing/decreasing market participation
- Volume profile: Shows price levels with highest trading activity
3. Trading Signals
- Breakout arrows: Potential trend continuation
- RSI extremes: Confirmation of overbought/oversold conditions
- Volume confirmation: Validates price movements
Customization:
- Adjust MA length for different market conditions
- Modify band offsets for tighter/looser channels
- Fine-tune volume analysis parameters
- Customize visual appearance
This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.
Volume Footprint POC for Every CandleCalculating and plotting the Point of Control (POC) for every candle on a volume footprint chart can provide valuable insights for traders. Here are some interpretations and uses of this information:
1. Identify Key Price Levels
Highest Traded Volume: The POC represents the price level with the highest traded volume for each candle. This level often acts as a significant support or resistance level.
Confluence Zones: When multiple POCs align at similar price levels over several candles, it indicates strong support or resistance zones.
2. Gauge Market Sentiment
Buyer and Seller Activity: High volume at certain price levels can indicate where buyers and sellers are most active. A rising POC suggests stronger buying activity, while a falling POC suggests stronger selling activity.
Volume Profile: Analyzing the volume profile helps in understanding the distribution of traded volume across different price levels, providing insights into market sentiment and potential reversals.
3. Spot Trends and Reversals
Trend Continuation: Consistent upward or downward shifts in POC levels can indicate a trend continuation. Traders can use this information to stay in trending positions.
Reversal Signals: A sudden change in the POC direction may signal a potential reversal. This can be used to take profits or enter new positions.
4. Intraday Trading Strategies
Short-Term Trading: Intraday traders can use the POC to make informed decisions on entry and exit points. For example, buying near the POC during an uptrend or selling near the POC during a downtrend.
Scalping Opportunities: High-frequency traders can use shifts in the POC to scalp small profits from price movements around these key levels.
5. Volume-Based Indicators
Confirmation of Other Indicators: The POC can be used in conjunction with other technical indicators (e.g., moving averages, RSI) to confirm signals and improve trading accuracy.
Support and Resistance: Combining the POC with traditional support and resistance levels can provide a more comprehensive view of the market dynamics.
In summary, the Point of Control (POC) is a valuable tool for traders to understand market behavior, identify key levels, and make more informed trading decisions. If you have specific questions or need further details on how to use this information in your trading strategy, feel free to ask! ð
MM Day Trader LevelsAs an intraday trader, there are certain key levels that I care about for short-term price action on every single chart. When I first began day trading, each morning I would painstakingly mark those key levels off on the charts I planned to trade each day. Depending on the number of charts I was watching, this would take up quite a bit of my time that I felt would have been much better spent doing other things. It also meant that those levels would often be left behind, and on later days I might be trading a symbol and get confused when a line appeared and I'd be paying attention to it only to later discover that it wasn't from prior day, but from some other day in the past when I had marked it off.
I looked all over TradingView to find indicators that did this automatically for me, and I found a lot of them. One by one I tried them, and inevitably I would always find that something was wrong with them. Often they didn't have all of the levels I wanted (so I would have to combine multiple indicators), but more often I found that the levels would be incorrect, or they would be buggy and not appear consistently, or they would not appear at the right time, or they would not work on futures! The list of problems went on and on. And the biggest issue I found was that nobody knew how to get session volume profile in an indicator.
So, over the course of a few years I figured out how to solve all of those problems and now I'm thrilled to present this free indicator for everyone like me who trades intraday and wants a clean consistent way to see the prior day levels that they care about automatically on every single chart (even futures). The levels the indicator provides are:
Yesterday High & Low
Value Area High & Low & Point of Control
Today's Open
Yesterday's Close (aka "Settlement" on futures)
Premarket High & Low (non-futures only)
Overnight High & Low (futures only)
These levels are extremely important, and I expect price to be reactive to them, so each level has a shaded background behind it so that the levels stand out against other lines you may have on your chart. I try to keep configuration as simple as possible, but there are configuration options that allow you to:
Hide any of the levels
Change the color for the levels
Shade the value area (or not)
Change the label text, size, type (basic label or plain text) and location (how far to the right of last candle to place the label
Adjust session volume profile value area volume & number of rows
The biggest advantage to this indicator over others on TradingView is how it handles session volume profile. When it comes to futures, TradingView does differentiate between regular trading hours and "electronic" trading hours on the charts, but their timeframes for those sessions are unusual, and they do not provide any programmatic way to differentiate between them. So, I created a whole new library for dealing with futures sessions that is fully integrated into both my Session Volume Profile library and this indicator, allowing me to bring you the best and only custom indicator available on TradingView that provides you with true regular session volume profile information across every type of symbol, including futures.
I'm incredibly proud of everything I've been able to provide with this indicator, and even more thrilled to say that I'm proud of how the indicator has been implemented. Once again releasing this indicator and all associated code for free and open source. I encourage you to take a look at the source code to see how it all works, take advantage of the free underlying libraries I created to make all of this possible: Session Library and Session Volume Profile Library.
TwV Market SignalsSignals Indicator
Summary
This indicator allows traders to have in handy short and long signals and estimate the trend of the market.
The indicator draws Long and Short signals depending on the trend analysis. The indicators also use meaningful colors for traders to be able to visually understand the graphs, such us fillings on EMAs, so the possible trend is represented.
The colors used are light green for bullish, red for bearish, dark green for possible bearish to bullish change and purple for possible bullish to bearish change. These colors are applicable to all fillings and summary box.
How to use this indicator
The use of EMAs 10,20 and 50 draw the medium to long term trends, therefore avoiding signals against the trend. Furthermore the EMAs will advise possible change in trends, specially considering the 10 and 20 cross, considering that crossing the 10,20 and 50, might confirm the change in med to long term trend change of the price. This is completely visual in the chart as it tints green for positive trend and yellow to red for negative trend.
The 200 SMA is included as it also gives better confirmation to the trend, the basics tell that when the EMAs mentioned above are below the 200 SMA then the likelihood for entries in long positions are not the best and vice versa for short.
Therefore, the trader shall filter Long and Short Signals accordingly as this EMAs are not used to send Long and Short signals considering that they confirm the trend in a slow pace and not reactively to the price volatility.
There are two strategies built-in within the indicator:
Strategy 1 â Longer time trades and high volatility handling
The Long and Short Signals are based on 14 and EMAs (by default). This two Mas are used to send signals based on their crossovers as they are way more reactive to the price movement.
Trader shall consider that EMAs are used for higher timeframes, therefore the indicator has the possibility to adjust the EMAs and use SMAs or WMAs instead for one or the two parameters (14 and 21).
WMAs react faster to the price volatility so the trader shall adjust this according to the timeframe being used. (Lower timeframes suggested).
This strategy is used for trades that might keep running for longer periods of times.
For reference on what the SMAs, EMAs and WMAs are, please see below sections in the description.
Strategy 2 - Shorter time trades and unhandled high volatility
The Long and Short Signals are bases on HMA. HMAs (Hull Moving Averages) track the price movement and volatility way faster that SMAs, EMAs and WMAs, therefore as the HMA follow the price quicker, it is intended for short time trades even in higher timeframes.
Scalping is not suggested using this strategy as HMA do not handle high volatility even on higher timeframes.
One of the biggest differences from the first strategy is that there is no more than a single HMA length to work with, which is 24 as default.
HMAs calculation is different to other MAs, therefore combining various HMAs lengths looking for crossovers become trend identification a lot less precise. HMAs are not intended to be used with different length crossovers.
Exit points = The use of Stochastic and VRVP
Stochastic RSI
It is well known that when Stochastic RSI resets when overbought or oversold therefore traders have within a summary box the possibility to check whether the K & D lines in the Stochastic RSI hace crossed over bullish or bearish.
Although the crossover is not mandatory for a change trend, the crossover might be used by the trader to exit a position considering that the price might move on the opposite direction.
Traders shall look at the summary box, where bullish and bearish crossovers are shown, so they evaluate their position exit.
Visible Range Volume Profile
The use of the VRVP is to find support and resistance on the price movements. Although high and lows are used as possible supports and resistances, VRVP shows an area of confluence on the order book, where volume of positions are accumulated and that might act as support or resistance depending on the price direction.
Traders can visually activate the VRVP to see the Point of Control (POC) directly on the chart as a line (similar as how a support or resistance would be drawn). Moreover, traders have the ability to see within the summary box, whether to see if the price is above or below the POC, so they clearly know if it is acting as support or resistance.
Price Direction
Trade the market trend is well know to be used to identify possible price direction. It is important not to confuse the longer time trend drawn by the EMAs with the TTM Trend bar color. The TTM trend colors bars according to the price direction, helping traders not to confuse when a red bar appears on an up trend or green bars on a down trend.
This coloring helps traders not to exit trades based on bar coloring, which might psychologically affect when scalping or short-term trading specially.
Originally, the TTM trend is used considering the ADX in and indicator called TTM Squeeze, where the strength of the movement is measured, therefore although candle colors help with the price direction, ADX provides the trader the ability to see whether the direction is losing momentum and then catch the best possible exit before the direction change.
How to use Summary
1. Receive the Long or Short Signals using strategy 1 or 2, depending on the selected in the main menu of the indicator.
2. Evaluate the trend based on the 10,20, 50 and 200 MAs. Filter the Long and Short signals accordingly.
3. Monitor constantly the TTM Trend and the ADX for the direction and strength of the position entered and review if the momentum is being lost, considering step 4 or other possible reasons that might lead to exiting the position.
4. Once entered to a position evaluate constantly the Stochastic RSI bearish or bullish crossover or POC value on screen or summary box to exit the position.
Terminology basics
Trend indicators
Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 10, 20 and 55 exponential periods, to determine a possible bullish or bearish trend (EMA Crossing)
Simple Moving Average (SMA): The base indicator is composed of a moving average of 200 simple periods, which in conjunction with the EMAs can lead to estimate potential upward or downwards moves, as well as possible resistances. (SMA Positioning)
Weighted moving average (WMA): It is a technical indicator that traders use to generate trade direction and make a long or short position. It assigns greater weighting to recent data points and less weighting on past data points. (WMA Crossing)
Strength and S/R indicators
VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance. The POC level is represented with a red dotted line in the graph.
The VPVR is a simplified version of the âTwV Multi-timeframe Dynamic VRVPâ that you can find for free use in my profile. This version calculates the mainâs timeframe POC and also has the possibility to be fixed range if the trader enables it from the menu. (Dynamic range by default).
ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend strength. This is represented as summary text in a table.
/
Exit indicator
Stochastic RSI: It is an indicator used in technical analysis that ranges between zero and a hundred and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold (Exit zones)
/
Summary Panel
This panel allows the trader to have a summary of the current status (bearish or bullish) of some of the most determinant indicators within the strategy. It has the following characteristics:
It is placed on the right bottom side of the chart by the default. Traders can change its position or hidden it through the main menu of the indicator.
Its colors change according to the indicatorâs values and constant change for easier detection.
The summary box shows the projection for each of the indicators (Trend, Stochastic, EMA, VPVR and ADX).
The summary box is multi-language (English and Spanish), which can be changes in the main menu of the indicator
Alerts
Within the indicatorâs menu, you can set up alerts for all long, short, close long and close short signals, which might come in handy when the trader would like to have notifications on the Trading View website, desktop app or phone apps. Furthermore, there are also signals for possible exit points, which can also be activated from the indicatorâs menu.
Multy Dynamic POCThis script displays up to 4 independent Point of Control (POC) levels based on volume profile logic.
ð Each POC can be configured individually:
Period options: Daily (D), Weekly (W), Monthly (M), or BARS (rolling bar window).
Dynamic recalculation when the period changes (e.g., new day/week/month or custom bar count).
Price-anchored lines for each POC level that scale correctly with the chart.
Customizable line color and thickness.
ð How it works:
For each active POC line, the script builds a simple volume distribution based on the candleâs average price (hl2) and volume.
The price range is split into 100 buckets. The one with the highest accumulated volume is selected as the Point of Control (POC).
In BARS mode, POC is recalculated every N bars. In D/W/M modes, it resets exactly at the beginning of a new period (according to TradingViewâs time() function).
â
Useful for:
Traders applying volume profile analysis without needing the full built-in volume profile tool.
Spotting dynamic high-volume zones in trends or ranges.
Strategy development or confirmation around high-interest price levels.
_______________________________________________________________________________
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Period Value ZonesPeriod Value Zones is designed to help traders understand where current value is being found by splitting the day into 3 key periods based on common reversal times recognized for intraday trading.
By splitting the day into 3 periods, we can more efficiently determine where short-term value lies by using only the data we consider relevant during these periods of time.
> Overview
This indicator is recommended for low timeframe trading during the New York RTH Session.
By only trading within this session, we can ensure that volume and volatility remain fairly consistent.
Within each Period, you will find on the chart:
Value Area Points from Previous period (Value High(VAH)/Value Low(VAL)/Point of Control(POC))
Volume Weighted Average Price (VWAP) Cloud, based on High and Low values during the period.
Value Zone based Potential Reversal Zones.
Additional Displays:
Potential Reversal Detection Signals with Invalidation Levels
Forward Plotted Key Market times.
> Components
⢠Value Area Points
VAH/VAL/POC are important volume profile points which display where the market has previously held value.
We use these specific levels as support and resistance to confirm direction by monitoring interactions between price and these important levels.
The VAH and VAL lines change colors based on price's interaction with them to confirm whether that level should be regarded as support or resistance.
⢠VWAP Cloud
VWAP is a common metric used to determine the strength of a trend, and provides a point to look for re-bid & re-offer.
When price breaks out of our Fixed Value zone, VWAP helps us determine further direction.
Also included is VWAP deviation bands, for traders who would prefer to view the standard deviation away from this cloud as well.
⢠Value Reversal Zones
These Zones are calculated based on extensions of the Period Value Zone.
While in a balanced market, these zones have been shown to provide potential reversal opportunities.
⢠Potential Reversal Signals
These signals are based on an advanced method for confirming a higher-low or lower-high to reasonably create a signal that is not very laggy but also rooted in sound logic.
While helpful, These are NOT buy or sell signals, and you should always use further analysis to decide the next steps to take.
When a signal appears, an associated invalidation level is also displayed, if this level is crossed the associated signal is no longer considered relevant.
⢠Key Market Times
These are important times within the day that normally produce volatility caused by daily market catalysts.
Each key time is forward plotted 1 hour before it occurs to provide a clear heads up for potential opportunity.
Opening Fuel: Known for having an increase in Volume after the formation of the 15min Opening Range.
1st Reversal: Common Area for seeing initial large positioning effecting the market, often causing reversals.
Initial Balance Close: End of the first hour, a common positioning tool for futures traders.
2nd Reversal: Positioning is typically reactionary to IB Close, alongside Euro Traders Exiting Positions.
Euro Close: Close of Europe Session, a common positioning tool for futures traders.
Lunch: Usually Low Volume, traders are often out to lunch.
Lunch End: Volume tends to re-enter, as traders come back from lunch.
1st Reversal: New Hour, common area to see large position re-enter the market.
Bonds Close: Bonds markets close, Equities reacting to close of the bond market.
1st MOC: Initial Market on Close orders are places, market reaction is normally expected off of MOC positioning.
MOC Close: As MOC orders are reported, volatility is likely found within the market.
> Methodology
This indicator can be used with the same principles as trading balanced volume profiles.
Rule 1: Unless the price breaks and holds Value High or Value Low, we should expect buyers and sellers to maintain the current balance.
Rule 2: If we break and push away from the Period Value High, we should treat that level as supportive on retest unless we look back below and sellers defend on retest.
Rule 3: If we break and push away from the Period Value Low, we should treat that level as resistance on retest unless we look back above and buyers defend on retest.
Rule 4: If we recover Value Low, and it becomes supportive, we look for our Period POC and Period Value High as our targets above.
Rule 5: If we fail to hold Period Value High, and it becomes resistance, we look for our Period POC and Period Value Low as targets below.
Balance in the context of this indicator is considered as the area between Period Value High and Period Value Low
Acceptance outside of balance in the context of this indicator is considered as Period Value Low or High, becoming supportive or resistance.
> Examples
Theoretical Example:
In the bullish example below, price holds VWAP and makes POC supportive, showing interest from buyers pushing to Value High.
Real-World Example:
Below is an example of the same setup as the theoretical example, taking place on a real futures chart.
By utilizing these rules, we can look for opportunities at these levels and have a plan for how we should be interacting with them.
This will help us determine likely targets and risk-off levels that are based on volume and current "value" from participants.
Hybrid Profile [DW]This is an experimental study inspired by J. Peter Steidlmayer's Market Profile tool with an alternative set of calculations for analyzing price action and distribution over a defined interval.
This tool is geared toward finding price reactive points for better entry and exit positions.
In this script, price range over a user defined interval (up to 4000 bars) is divided into 50 sections, then TPOs are counted for each section to generate the distribution histogram. Histogram lines are calculated in real time, and recalculate on each new bar.
Areas of significance are displayed as purple lines in the histogram, making it incredibly simple to identify levels that price will likely react to. The significance sensitivity can be manually adjusted for desired output.
Rather than using POC, I created a series of proprietary calculations to generate what I call the Point Of Focus (POF). This line is similar to POC, but does not always follow the highest count in the distribution.
The POF is designed to experience less whipsaws than POC, which makes trading using the POF much simpler since its value is more consistent. On historical data, price has shown to either revert to or launch from the POF rather frequently.
Unlike a conventional Market Profile, this profile doesn't have a "value area". Instead it has a Mean Value Zone, which is calculated using a series of custom VWAP calculations. The output is similar to VA, but much smoother.
This script has a built in tick volume substitution for charts with no real volume data, making all elements of the script compatible with any cryptocurrency, stock, currency pair, or index you want to analyze.
A bar color scheme is included within this script which can be used to help determine dominant trend and local extremes of the interval.
This tool is not necessarily better or worse than the classic Market Profile, nor is it a replacement for Volume Profile.
However, this is a powerful alternative that can both simplify and improve your technical analysis.
52SIGNAL RECIPE Smart Money Detector : CME + Exchanges=================52SIGNAL RECIPE CME-Exchange Smart Money Detector=================
â Overview
The 52SIGNAL RECIPE CME-Exchange Smart Money Detector is an advanced technical indicator designed to identify institutional and smart money movements by analyzing and comparing futures markets across both CME and cryptocurrency exchanges. This powerful tool detects coordinated buying and selling patterns that often precede significant price movements, giving traders an edge in anticipating market direction.
What makes this indicator unique is its cross-market verification approach. By requiring confirmation from both CME Bitcoin futures (dominated by institutional players) and crypto exchange futures (with broader market participation), it significantly reduces false signals and identifies high-probability smart money footprints that typically lead market movements.
âââââââââââââââââââââââââââââââââââââ
â Key Features
⢠Dual Market Confirmation: Simultaneously analyzes both CME Bitcoin futures and exchange futures charts to identify synchronized smart money activity
⢠Smart Volume Analysis: Uses advanced algorithms to separate buying and selling volume based on candle structure and price action
⢠Energy Wave Visualization: Displays smart money signals as intuitive energy waves with varying sizes reflecting signal strength
⢠Strength Rating System: Quantifies signal strength on a 0-100% scale, with multiple visualization levels (10%+, 40%+, 60%+, 80%+)
⢠Candlestick Pattern Integration: Incorporates bullish/bearish candle formations to enhance signal reliability
⢠Volume Spike Detection: Identifies abnormal volume increases that often accompany smart money positioning
⢠Trend Context Analysis: Evaluates signals in relation to current market trend for higher probability setups
⢠Dynamic Strength Calculation: Uses a multi-factor model considering volume ratio, buying/selling imbalance, candle structure, and trend alignment
⢠Transparent Signal Labeling: Displays precise strength percentage values with each signal for clear decision-making
⢠Real-time Institutional Flow Monitor: Tracks the footprints of large players across both regulated (CME) and crypto exchange markets
âââââââââââââââââââââââââââââââââââââ
â Understanding Signal Types
â Buy Signal Energy Waves (Green)
⢠Definition: Detected when significant buying pressure appears simultaneously on both CME and exchange futures, typically on bearish candles
⢠Visual Appearance: Green circular waves below price bars, with size/opacity increasing with signal strength
⢠Market Interpretation: Indicates institutional buying interest even as price is declining, often preceding bullish reversals
⢠Signal Strength Factors:
ⶠHigher buying volume relative to selling volume
ⶠAbove-average total volume
ⶠLower wicks on bearish candles
ⶠAppearance at key support levels
ⶠCoinciding with oversold conditions
â Sell Signal Energy Waves (Red)
⢠Definition: Detected when significant selling pressure appears simultaneously on both CME and exchange futures, typically on bullish candles
⢠Visual Appearance: Red circular waves above price bars, with size/opacity increasing with signal strength
⢠Market Interpretation: Indicates institutional selling interest even as price is rising, often preceding bearish reversals
⢠Signal Strength Factors:
ⶠHigher selling volume relative to buying volume
ⶠAbove-average total volume
ⶠUpper wicks on bullish candles
ⶠAppearance at key resistance levels
ⶠCoinciding with overbought conditions
âââââââââââââââââââââââââââââââââââââ
â Signal Strength Understanding
â The Four Strength Levels
⢠Level 1 (10-39%): Initial Detection
ⶠVisual: Smallest energy wave
ⶠMeaning: Early smart money positioning detected
ⶠUsage: Early warning, prepare for possible setup
⢠Level 2 (40-59%): Moderate Strength
ⶠVisual: Medium-small energy wave
ⶠMeaning: Clearer institutional positioning
ⶠUsage: Begin position planning, watch for confirmation
⢠Level 3 (60-79%): Strong Signal
ⶠVisual: Medium-large energy wave
ⶠMeaning: Significant smart money footprint
ⶠUsage: High-probability setup forming, consider entry
⢠Level 4 (80-100%): Exceptional Strength
ⶠVisual: Largest energy wave
ⶠMeaning: Powerful institutional movement confirmed
ⶠUsage: Highest probability setup, strong conviction entry point
â Understanding Signal Strength Calculation
⢠Volume Component (0-50 points):
ⶠMeasures how current volume compares to recent average
ⶠMaximum points when volume is 2x or higher than average
⢠Buy/Sell Ratio Component (0-50 points):
ⶠMeasures imbalance between buying and selling pressure
ⶠMaximum points when ratio exceeds predefined multiplier threshold
⢠Advanced Weighting Factors:
ⶠCandle Structure: Body size, wick length, and orientation
ⶠTrend Alignment: Signal relationship to current trend
ⶠVolume Spike: Abnormal volume increase detection
ⶠCross-Market Confirmation: Strength of signal alignment between CME and exchange
âââââââââââââââââââââââââââââââââââââ
â Practical Trading Applications
â Reversal Trading Strategy
⢠Buy Signal Application:
ⶠSetup: Strong buy energy wave (60%+) on a bearish candle
ⶠEntry: After confirmation candle following the signal
ⶠStop Loss: Below recent low or 1 ATR below entry
ⶠTake Profit: Previous resistance or 1:2 risk-reward minimum
ⶠEnhancers: Signal occurring at support zone, oversold conditions, or trend line tests
⢠Sell Signal Application:
ⶠSetup: Strong sell energy wave (60%+) on a bullish candle
ⶠEntry: After confirmation candle following the signal
ⶠStop Loss: Above recent high or 1 ATR above entry
ⶠTake Profit: Previous support or 1:2 risk-reward minimum
ⶠEnhancers: Signal occurring at resistance zone, overbought conditions, or trend line tests
â Trend Continuation Strategy
⢠During Uptrends:
ⶠFocus on buy signals that appear during pullbacks
ⶠHigher probability when signals occur at key moving averages or support levels
ⶠEnter on strength when price shows signs of resuming the uptrend
⢠During Downtrends:
ⶠFocus on sell signals that appear during relief rallies
ⶠHigher probability when signals occur at key moving averages or resistance levels
ⶠEnter on strength when price shows signs of resuming the downtrend
â Multiple Timeframe Approach
⢠Signal Confirmation Across Timeframes:
ⶠMajor signals on higher timeframes (4H, daily) provide strategic direction
ⶠSignals on lower timeframes (15m, 1H) offer tactical entry points
ⶠHighest probability setups occur when signals align across multiple timeframes
⢠Signal Clustering:
ⶠMultiple signals in the same price area significantly increase probability
ⶠLook for areas where both buy and sell signals have appeared, indicating battleground zones
ⶠThe most recent signal direction often wins these battles
âââââââââââââââââââââââââââââââââââââ
â Technical Foundation
â Why Cross-Market Confirmation Matters
⢠Institutional Participation:
ⶠCME Bitcoin futures are dominated by regulated institutional investors
ⶠCrypto exchange futures include both retail and institutional players
ⶠWhen both markets show the same smart money pattern, the signal reliability increases dramatically
⢠Market Inefficiency Exploitation:
ⶠLarge players often position across multiple venues to minimize market impact
ⶠThis coordinated activity creates detectable footprints when analyzed correctly
ⶠCross-market confirmation helps filter out market noise and isolate true smart money movements
â Smart Volume Calculation Methodology
⢠Price-Volume Relationship Analysis:
ⶠUses candle structure to estimate buying vs. selling volume
ⶠBuying volume = Total volume à (Close - Low) / (High - Low)
ⶠSelling volume = Total volume à (High - Close) / (High - Low)
⢠Signal Triggering Logic:
ⶠBuy signal: When buying volume exceeds selling volume by multiplier factor
ⶠSell signal: When selling volume exceeds buying volume by multiplier factor
ⶠBoth conditions must be met simultaneously on CME and exchange futures
⢠Advanced Pattern Recognition:
ⶠEvaluates candle body-to-range ratio for signal quality
ⶠAnalyzes wick length and position for additional confirmation
ⶠConsiders recent highs/lows to detect potential turning points
âââââââââââââââââââââââââââââââââââââ
â Indicator Settings Guide
â Main Settings
⢠CME Bitcoin Futures Symbol:
ⶠDefault: CME:BTC1!
ⶠPurpose: Sets the CME futures contract to analyze alongside current chart
⢠Buy/Sell Volume Multiplier:
ⶠDefault: 3.0
ⶠRange: 1.0-10.0
ⶠPurpose: Determines how much buying volume must exceed selling volume (or vice versa) to trigger a signal
ⶠHigher values = fewer but stronger signals
ⶠLower values = more signals but potentially lower reliability
â Volume Filter Settings
⢠Enable Volume Filter:
ⶠDefault: Enabled
ⶠPurpose: When enabled, only considers candles with above-threshold volume
⢠Volume Average Period:
ⶠDefault: 20 candles
ⶠRange: 5-200 candles
ⶠPurpose: Sets the lookback period for calculating average volume
⢠Volume Threshold:
ⶠDefault: 150%
ⶠRange: 10%-500%
ⶠPurpose: Minimum volume percentage (of average) required for signal consideration
ⶠHigher values focus on only the most significant volume spikes
â Signal Visualization
⢠Show Signal Strength Value:
ⶠDefault: Enabled
ⶠPurpose: Displays the exact percentage strength value with each signal
⢠Energy Wave Colors:
ⶠBuy Energy Wave: Green (#00ff80)
ⶠSell Energy Wave: Red (#ff4040)
ⶠPurpose: Customize the appearance of energy waves for visual preference
â Advanced Settings
⢠Use Advanced Strength Calculation:
ⶠDefault: Enabled
ⶠPurpose: When enabled, uses the full multi-factor model for signal strength
ⶠWhen disabled, uses only basic volume and ratio factors
âââââââââââââââââââââââââââââââââââââ
â Synergy with Other Indicators
⢠Support/Resistance Levels:
ⶠSmart money signals occurring at key support/resistance significantly increase reliability
ⶠParticularly powerful when signals appear at tested price levels
⢠Moving Averages:
ⶠSignals near key moving averages (50MA, 200MA) often indicate institutional interest
ⶠMoving average crosses combined with smart money signals create high-probability setups
⢠RSI/Momentum Indicators:
ⶠBuy signals in oversold conditions increase probability of successful reversal
ⶠSell signals in overbought conditions increase probability of successful reversal
⢠Volume Profile:
ⶠSignals occurring at high volume nodes often indicate significant turning points
ⶠLow volume nodes between high volume areas can act as acceleration zones after signal triggers
⢠Market Structure:
ⶠSmart money signals that break key market structure levels (higher highs/lows or lower highs/lows) are particularly significant
ⶠCan signal the early stages of trend changes when aligned with structure breaks
âââââââââââââââââââââââââââââââââââââ
â Conclusion
The 52SIGNAL RECIPE CME-Exchange Smart Money Detector provides traders with a powerful edge by revealing institutional positioning across both regulated futures and crypto exchange markets. By requiring synchronized signals from both venues, it cuts through market noise to identify the most reliable smart money footprints.
What sets this indicator apart is its sophisticated cross-market verification system. Rather than relying on signals from a single market, it only triggers when both CME and exchange futures display the same smart money pattern simultaneously. This approach dramatically reduces false signals and highlights truly significant institutional activity.
The intuitive energy wave visualization system makes it easy to spot signals of varying strength, while the transparent percentage rating allows for objective assessment of each opportunity. By focusing on these dual-confirmed smart money movements, traders can position themselves alongside institutional players rather than against them.
Remember that the most powerful signals typically appear at key market junctures, often before significant price movements. By incorporating this indicator into your trading approach, you gain insight into institutional positioning that can help anticipate market direction with greater confidence.
âââââââââââââââââââââââââââââââââââââ
â» Disclaimer: Like all trading tools, the CME-Exchange Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
================52SIGNAL RECIPE CME-Exchange Smart Money Detector==================
â ê°ì
52SIGNAL RECIPE CME-Exchange Smart Money Detectorë CMEì ìížíí ê±°ëìì ì 묌 ìì¥ì ëìì ë¶ìíì¬ êž°êŽ ë° ì€ë§íž ëšžëì ìì§ìì í¬ì°©íë ê³ êž êž°ì ì ì§íì
ëë€. ìŽ ê°ë ¥í ë구ë 죌ì ê°ê²© ìì§ìì ì ííë ì¡°ì§ì ìž ë§€ì ë° ë§€ë íšíŽì ê°ì§íì¬ ížë ìŽëë€ìê² ìì¥ ë°©í¥ ììž¡ì ì 늬í ì 볎륌 ì ê³µí©ëë€.
ìŽ ì§íì ë
볎ì ìž í¹ì§ì êµì°š ìì¥ ê²ìŠ ì ê·Œë²ì ììµëë€. CME ë¹ížìœìž ì 묌(êž°êŽ í¬ìì ì€ì¬)곌 ìížíí ê±°ëì ì 묌(êŽë²ìí ìì¥ ì°žì¬ì) 몚ëìì íìžì ì구íšìŒë¡ìš, íì ì ížë¥Œ í¬ê² ì€ìŽê³ ìŒë°ì ìŒë¡ ìì¥ ìì§ìì ì ëíë ê³ íë¥ ì€ë§íž ëšžë íì ì ìë³í©ëë€.
âââââââââââââââââââââââââââââââââââââ
â 죌ì í¹ì§
⢠ëìŒ ë§ìŒ íìž: CME ë¹ížìœìž ì 묌곌 ê±°ëì ì 묌 ì°šížë¥Œ ëìì ë¶ìíì¬ ëêž°íë ì€ë§íž ëšžë íë ìë³
⢠ì€ë§íž 볌륚 ë¶ì: ìºë€ 구조ì ê°ê²© íëì êž°ë°ìŒë¡ 맀ì ë° ë§€ë 볌륚ì ë¶ëŠ¬íë ê³ êž ìê³ ëŠ¬ìŠ ì¬ì©
⢠ìëì§ íë ìê°í: ì€ë§íž ëšžë ì ížë¥Œ ì íž ê°ë륌 ë°ìíë ë€ìí í¬êž°ì ì§êŽì ìž ìëì§ íëìŒë¡ íì
⢠ê°ë íê° ìì€í
: ì íž ê°ë륌 0-100% ì²ëë¡ ìì¹ííê³ ì¬ë¬ ìê°í ë 벚(10%+, 40%+, 60%+, 80%+) ì ê³µ
⢠ìºë€ì€í± íšíŽ íµí©: ì íž ì 뢰ì±ì ëìŽêž° ìíŽ ìì¹/íëœ ìºë€ íì±ì ë¶ìì íµí©
⢠볌륚 ì€íìŽí¬ ê°ì§: ì€ë§íž ëšžë í¬ì§ì
ëì ëë°íë ë¹ì ìì ìž ë³Œë¥š ìŠê° ìë³
⢠ì¶ìž ë§¥ëœ ë¶ì: íì¬ ìì¥ ì¶ìžì êŽë šíì¬ ì ížë¥Œ íê°íì¬ ëì íë¥ ì ì€ì ì ê³µ
⢠ëì ê°ë ê³ì°: 볌륚 ë¹ìš, 맀ì/맀ë ë¶ê· í, ìºë€ 구조 ë° ì¶ìž ìŒì¹ë륌 ê³ ë €íë ë€ì€ ìì ëªšëž ì¬ì©
⢠í¬ëª
í ì íž ëŒë²šë§: ëª
íí ìì¬ ê²°ì ì ìíŽ ê° ì ížì íšê» ì íí ê°ë ë°±ë¶ìš ê° íì
⢠ì€ìê° êž°êŽ ìêž íëŠ ëªšëí°: ê·ì ë(CME) ìì¥ê³Œ ìížíí ê±°ëì ìì¥ ëªšëìì ëí íë ìŽìŽì íì ì¶ì
âââââââââââââââââââââââââââââââââââââ
â ì íž ì í ìŽíŽíêž°
â 맀ì ì íž ìëì§ íë (ë
¹ì)
⢠ì ì: ìŒë°ì ìŒë¡ íëœ ìºë€ìì CMEì ê±°ëì ì 묌 몚ëìì ëìì ìë¹í 맀ì ìë ¥ìŽ ê°ì§ë ë ë°ì
⢠ìê°ì 몚ìµ: ê°ê²© ë° ìëì ë
¹ì ìí íëìŒë¡ íìëë©°, ì íž ê°ëì ë°ëŒ í¬êž°/ë¶í¬ëª
ë ìŠê°
⢠ìì¥ íŽì: ê°ê²©ìŽ íëœíë ëììë êž°êŽì 맀ì êŽì¬ìŽ ììì ëíëŽë©°, ì¢
ì¢
ìì¹ ë°ì ì ì í
⢠ì íž ê°ë ìì:
ⶠ맀ë 볌륚 ëë¹ ëì 맀ì 볌륚
ⶠíê· ìŽìì ìŽ ê±°ëë
ⶠíëœ ìºë€ì ìë ꌬ늬
ⶠ죌ì ì§ì§ ìì€ììì ì¶í
ⶠ곌맀ë 조걎곌 ìŒì¹
â 맀ë ì íž ìëì§ íë (ì ì)
⢠ì ì: ìŒë°ì ìŒë¡ ìì¹ ìºë€ìì CMEì ê±°ëì ì 묌 몚ëìì ëìì ìë¹í 맀ë ìë ¥ìŽ ê°ì§ë ë ë°ì
⢠ìê°ì 몚ìµ: ê°ê²© ë° ìì ì ì ìí íëìŒë¡ íìëë©°, ì íž ê°ëì ë°ëŒ í¬êž°/ë¶í¬ëª
ë ìŠê°
⢠ìì¥ íŽì: ê°ê²©ìŽ ìì¹íë ëììë êž°êŽì 맀ë êŽì¬ìŽ ììì ëíëŽë©°, ì¢
ì¢
íëœ ë°ì ì ì í
⢠ì íž ê°ë ìì:
ⶠ맀ì 볌륚 ëë¹ ëì 맀ë 볌륚
ⶠíê· ìŽìì ìŽ ê±°ëë
ⶠìì¹ ìºë€ì ì ꌬ늬
ⶠ죌ì ì í ìì€ììì ì¶í
ⶠ곌맀ì 조걎곌 ìŒì¹
âââââââââââââââââââââââââââââââââââââ
â ì íž ê°ë ìŽíŽíêž°
â ë€ ê°ì§ ê°ë ë 벚
⢠ë 벚 1 (10-39%): ìŽêž° ê°ì§
ⶠìê°ì : ê°ì¥ ìì ìëì§ íë
ⶠì믞: ìŽêž° ì€ë§íž ëšžë í¬ì§ì
ë ê°ì§
ⶠíì©: ìŽêž° ê²œê³ , ê°ë¥í ì€ì ì€ë¹
⢠ë 벚 2 (40-59%): ì€ê° ê°ë
ⶠìê°ì : ì€ê°-ìì ìëì§ íë
ⶠì믞: ë ëª
íí êž°êŽ í¬ì§ì
ë
ⶠíì©: í¬ì§ì
ê³í ìì, íìž ëêž°
⢠ë 벚 3 (60-79%): ê°í ì íž
ⶠìê°ì : ì€ê°-í° ìëì§ íë
ⶠì믞: ì€ìí ì€ë§íž ëšžë íì
ⶠíì©: ê³ íë¥ ì€ì íì±, ì§ì
ê³ ë €
⢠ë 벚 4 (80-100%): ììžì ê°ë
ⶠìê°ì : ê°ì¥ í° ìëì§ íë
ⶠì믞: ê°ë ¥í êž°êŽ ìì§ì íìž
ⶠíì©: ìµê³ íë¥ ì€ì , ê°í íì ì ì§ì
ì§ì
â ì íž ê°ë ê³ì° ìŽíŽíêž°
⢠볌륚 êµ¬ì± ìì (0-50 í¬ìžíž):
ⶠíì¬ ë³Œë¥šìŽ ìµê·Œ íê· ê³Œ ë¹êµíì¬ ìŒë§ë ëìì§ ìž¡ì
â¶ ë³Œë¥šìŽ íê· ë³Žë€ 2ë°° ìŽì ëì ë ìµë í¬ìžíž ë¶ì¬
⢠맀ì/맀ë ë¹ìš êµ¬ì± ìì (0-50 í¬ìžíž):
ⶠ맀ìì 맀ë ìë ¥ ê°ì ë¶ê· í ìž¡ì
ⶠë¹ìšìŽ 믞늬 ì ìë ë°°ìš ìê³ê°ì ìŽê³Œí ë ìµë í¬ìžíž ë¶ì¬
â¢ ê³ êž ê°ì€ì¹ ìì:
ⶠìºë€ 구조: ëªžíµ í¬êž°, ꌬ늬 êžžìŽ ë° ë°©í¥
ⶠì¶ìž ìŒì¹: íì¬ ì¶ìžìì ì íž êŽê³
ⶠ볌륚 ì€íìŽí¬: ë¹ì ìì ìž ë³Œë¥š ìŠê° ê°ì§
ⶠêµì°š ìì¥ íìž: CMEì ê±°ëì ê° ì íž ìŒì¹ ê°ë
âââââââââââââââââââââââââââââââââââââ
â ì€ì ížë ìŽë© ìì©
â ë°ì ížë ìŽë© ì ëµ
⢠맀ì ì íž ìì©:
ⶠì€ì : íëœ ìºë€ìì ê°í 맀ì ìëì§ íë(60%+)
ⶠì§ì
: ì íž ìŽí íìž ìºë€ ìŽí
ⶠìì : ìµê·Œ ì ì ìë ëë ì§ì
ì ìë 1 ATR
ⶠìŽìµì€í: ìŽì ì í ëë ìµì 1:2 늬ì€í¬-늬ìë
ⶠê°í ìì: ì§ì§ 구ì, 곌맀ë 조걎 ëë ì¶ìžì í
ì€ížìì ë°ìíë ì íž
⢠맀ë ì íž ìì©:
ⶠì€ì : ìì¹ ìºë€ìì ê°í 맀ë ìëì§ íë(60%+)
ⶠì§ì
: ì íž ìŽí íìž ìºë€ ìŽí
ⶠìì : ìµê·Œ ê³ ì ì ëë ì§ì
ì ì 1 ATR
ⶠìŽìµì€í: ìŽì ì§ì§ ëë ìµì 1:2 늬ì€í¬-늬ìë
ⶠê°í ìì: ì í 구ì, 곌맀ì 조걎 ëë ì¶ìžì í
ì€ížìì ë°ìíë ì íž
â ì¶ìž ì§ì ì ëµ
⢠ìì¹ ì¶ìž ì€:
ⶠ조ì ì€ì ëíëë 맀ì ì ížì ì§ì€
ⶠ죌ì ìŽëíê· ì ìŽë ì§ì§ ìì€ìì ì ížê° ë°ìí ë íë¥ ìŽ ëì
ⶠê°ê²©ìŽ ìì¹ ì¶ìžë¥Œ ì¬ê°í ì§í륌 ë³ŽìŒ ë ê°ëì ë§ì¶° ì§ì
⢠íëœ ì¶ìž ì€:
ⶠìŒìì ë°ë± ì€ì ëíëë 맀ë ì ížì ì§ì€
ⶠ죌ì ìŽëíê· ì ìŽë ì í ìì€ìì ì ížê° ë°ìí ë íë¥ ìŽ ëì
ⶠê°ê²©ìŽ íëœ ì¶ìžë¥Œ ì¬ê°í ì§í륌 ë³ŽìŒ ë ê°ëì ë§ì¶° ì§ì
â ë€ì€ ìê°íë ì ì ê·Œë²
⢠ë€ìí ìê°íë ìììì ì íž íìž:
ⶠìì ìê°íë ì(4ìê°, ìŒëŽ)ì 죌ì ì ížë ì ëµì ë°©í¥ ì ê³µ
ⶠíì ìê°íë ì(15ë¶, 1ìê°)ì ì ížë ì ì ì ì§ì
ì§ì ì ê³µ
ⶠì¬ë¬ ìê°íë ììì ì ížê° ìŒì¹í ë ê°ì¥ ëì íë¥ ì ì€ì ë°ì
⢠ì íž íŽë¬ì€í°ë§:
ⶠëìŒí ê°ê²© ìììì ì¬ë¬ ì ížê° ë°ìíë©Ž íë¥ ìŽ í¬ê² ìŠê°
ⶠ맀ìì 맀ë ì ížê° 몚ë ëíë ììì ì°Ÿì ì í¬ êµ¬ì ìë³
ⶠìŽë¬í ì í¬ììë ëê° ê°ì¥ ìµê·Œì ì íž ë°©í¥ìŽ ì°ìž
âââââââââââââââââââââââââââââââââââââ
â êž°ì ì êž°ë°
â êµì°š ìì¥ íìžìŽ ì€ìí ìŽì
â¢ êž°êŽ ì°žì¬:
ⶠCME ë¹ížìœìž ì 묌ì ê·ì ë êž°êŽ í¬ììê° ì£Œë
ⶠìížíí ê±°ëì ì 묌ì ì맀 ë° êž°êŽ íë ìŽìŽ 몚ë í¬íš
ⶠë ìì¥ìŽ ëìŒí ì€ë§íž ëšžë íšíŽì ë³ŽìŒ ë ì íž ì 뢰ì±ìŽ í¬ê² ìŠê°
⢠ìì¥ ë¹íšìšì± íì©:
ⶠëí íë ìŽìŽë€ì ìì¥ ìí¥ì ìµìííêž° ìíŽ ì¬ë¬ ê±°ëìì ê±žì³ í¬ì§ì
ì ì·šíë 겜ì°ê° ë§ì
ⶠìŽë¬í ì¡°ì§ì ìž íëì ì¬ë°ë¥Žê² ë¶ìí ë ê°ì§ ê°ë¥í íì ì ëšê¹
ⶠêµì°š ìì¥ íìžì ìì¥ ë
žìŽìŠë¥Œ íí°ë§íê³ ì§ì í ì€ë§íž ëšžë ìì§ìì ë¶ëŠ¬íë ë° ëì
â ì€ë§íž 볌륚 ê³ì° ë°©ë²ë¡
⢠ê°ê²©-볌륚 êŽê³ ë¶ì:
ⶠìºë€ 구조륌 ì¬ì©íì¬ ë§€ì ë 맀ë 볌륚 ì¶ì
ⶠ맀ì 볌륚 = ìŽ ë³Œë¥š à (ì¢
ê° - ì ê°) / (ê³ ê° - ì ê°)
ⶠ맀ë 볌륚 = ìŽ ë³Œë¥š à (ê³ ê° - ì¢
ê°) / (ê³ ê° - ì ê°)
⢠ì íž ížëŠ¬ê±° ë¡ì§:
ⶠ맀ì ì íž: 맀ì ë³Œë¥šìŽ ë§€ë 볌륚ì ë°°ìš ììë§íŒ ìŽê³Œí ë
ⶠ맀ë ì íž: 맀ë ë³Œë¥šìŽ ë§€ì 볌륚ì ë°°ìš ììë§íŒ ìŽê³Œí ë
ⶠë 조걎 몚ë CMEì ê±°ëì ì 묌ìì ëìì 충족ëìŽìŒ íš
â¢ ê³ êž íšíŽ ìžì:
ⶠì íž íì§ì ìí ìºë€ 몞íµ-ë²ì ë¹ìš íê°
ⶠì¶ê° íìžì ìí ꌬ늬 êžžìŽ ë° ìì¹ ë¶ì
ⶠì ì¬ì ì íì ì ê°ì§íêž° ìíŽ ìµê·Œ ê³ ì /ì ì ê³ ë €
âââââââââââââââââââââââââââââââââââââ
â ì§í ì€ì ê°ìŽë
â 죌ì ì€ì
⢠CME ë¹ížìœìž ì 묌 ì¬ë³Œ:
ⶠꞰ볞ê°: CME:BTC1!
ⶠ목ì : íì¬ ì°šížì íšê» ë¶ìí CME ì 묌 ê³ìœ ì€ì
⢠맀ì/맀ë 볌륚 ë°°ìš:
ⶠꞰ볞ê°: 3.0
ⶠë²ì: 1.0-10.0
ⶠ목ì : ì ížë¥Œ ížëŠ¬ê±°íêž° ìíŽ ë§€ì ë³Œë¥šìŽ ë§€ë 볌륚ì ìŒë§ë ìŽê³ŒíŽìŒ íëì§(ëë ê·ž ë°ë) ê²°ì
ⶠëì ê° = ì ì§ë§ ë ê°í ì íž
ⶠë®ì ê° = ë ë§ì ì ížì§ë§ ì ì¬ì ìŒë¡ ë®ì ì 뢰ì±
â 볌륚 íí° ì€ì
⢠볌륚 íí° íì±í:
ⶠꞰ볞ê°: íì±íëš
ⶠ목ì : íì±íëë©Ž ìê³ê° ìŽìì 볌륚ì ê°ì§ ìºë€ë§ ê³ ë €
⢠볌륚 íê· êž°ê°:
ⶠꞰ볞ê°: 20 ìºë€
ⶠë²ì: 5-200 ìºë€
ⶠ목ì : íê· ë³Œë¥š ê³ì°ì ìí 룩백 êž°ê° ì€ì
⢠볌륚 ìê³ê°:
ⶠꞰ볞ê°: 150%
ⶠë²ì: 10%-500%
ⶠ목ì : ì íž ê³ ë €ì íìí ìµì 볌륚 ë°±ë¶ìš(íê· ëë¹)
ⶠëì ê°ì ê°ì¥ ì€ìí 볌륚 ì€íìŽí¬ìë§ ì§ì€
â ì íž ìê°í
⢠ì íž ê°ë ê° íì:
ⶠꞰ볞ê°: íì±íëš
ⶠ목ì : ê° ì ížì íšê» ì íí ë°±ë¶ìš ê°ë ê° íì
⢠ìëì§ íë ìì:
ⶠ맀ì ìëì§ íë: ë
¹ì(#00ff80)
ⶠ맀ë ìëì§ íë: ì ì(#ff4040)
ⶠ목ì : ìê°ì ì ížëì ë§ê² ìëì§ íëì 몚ì ì¬ì©ì ì ì
â ê³ êž ì€ì
â¢ ê³ êž ê°ë ê³ì° ì¬ì©:
ⶠꞰ볞ê°: íì±íëš
ⶠ목ì : íì±íëë©Ž ì íž ê°ëì ì 첎 ë€ì€ ìì ëªšëž ì¬ì©
ⶠë¹íì±íëë©Ž Ʞ볞 볌륚 ë° ë¹ìš ììë§ ì¬ì©
âââââââââââââââââââââââââââââââââââââ
â ë€ë¥ž ì§íìì ìëì§
⢠ì§ì§/ì í ë 벚:
ⶠ죌ì ì§ì§/ì íìì ë°ìíë ì€ë§íž ëšžë ì ížë ì 뢰ì±ì í¬ê² ëì
ⶠí¹í í
ì€ížë ê°ê²© ë 벚ìì ì ížê° ëíë ë ê°ë ¥íš
⢠ìŽëíê· ì :
ⶠ죌ì ìŽëíê· ì (50MA, 200MA) ê·Œì²ì ì ížë ì¢
ì¢
êž°êŽì êŽì¬ì ëíë
ⶠìŽëíê· ì êµì°šì ì€ë§íž ëšžë ì ížì ì¡°í©ì ê³ íë¥ ì€ì ìì±
⢠RSI/몚ë©í
ì§í:
ⶠ곌맀ë 조걎ììì 맀ì ì ížë ì±ê³µì ìž ë°ì íë¥ ìŠê°
ⶠ곌맀ì 조걎ììì 맀ë ì ížë ì±ê³µì ìž ë°ì íë¥ ìŠê°
⢠볌륚 íë¡íìŒ:
ⶠëì 볌륚 ë
žëìì ë°ìíë ì ížë ì¢
ì¢
ì€ìí ì íì ì ëíë
ⶠëì 볌륚 ìì ì¬ìŽì ë®ì 볌륚 ë
žëë ì íž ížëŠ¬ê±° í ê°ì 구ê°ìŒë¡ ìì©í ì ìì
⢠ìì¥ êµ¬ì¡°:
ⶠ죌ì ìì¥ êµ¬ì¡° ë 벚(ëì ê³ ì /ì ì ëë ë®ì ê³ ì /ì ì )ì 깚ë ì€ë§íž ëšžë ì ížë í¹í ì€ì
ⶠ구조 깚ì§ê³Œ ìŒì¹í ë ì¶ìž ë³íì ìŽêž° ëšê³ë¥Œ ì늎 ì ìì
âââââââââââââââââââââââââââââââââââââ
â ê²°ë¡
52SIGNAL RECIPE CME-Exchange Smart Money Detectorë ê·ì ë ì 묌 ìì¥ê³Œ ìížíí ê±°ëì ìì¥ ëªšëìì êž°êŽì í¬ì§ì
ëì ëë¬ëìŒë¡ìš ížë ìŽëìê² ê°ë ¥í ì°ì륌 ì ê³µí©ëë€. ë ê±°ëììì ëêž°íë ì ížë¥Œ ì구íšìŒë¡ìš, ìì¥ ë
žìŽìŠë¥Œ ì ê±°íê³ ê°ì¥ ì 뢰í ì ìë ì€ë§íž ëšžë íì ì ìë³í©ëë€.
ìŽ ì§í륌 ì°šë³ííë ê²ì ì êµí êµì°š ìì¥ ê²ìŠ ìì€í
ì
ëë€. ëšìŒ ìì¥ì ì ížì ìì¡Žíë ëì , CMEì ê±°ëì ì 묌 몚ëê° ëìì ëìŒí ì€ë§íž ëšžë íšíŽì íìí ëë§ ížëŠ¬ê±°ë©ëë€. ìŽ ì ê·Œ ë°©ìì íì ì ížë¥Œ í¬ê² ì€ìŽê³ ì§ì ìŒë¡ ì€ìí êž°êŽ íëì ê°ì¡°í©ëë€.
ì§êŽì ìž ìëì§ íë ìê°í ìì€í
ì íµíŽ ë€ìí ê°ëì ì ížë¥Œ ìœê² ë°ê²¬í ì ììŒë©°, í¬ëª
í ë°±ë¶ìš íê°ë¥Œ íµíŽ ê° êž°í륌 ê°êŽì ìŒë¡ íê°í ì ììµëë€. ìŽë¬í ìŽì€ íìžë ì€ë§íž ëšžë ìì§ìì ì§ì€íšìŒë¡ìš, ížë ìŽëë êž°êŽ ì°žê°ìë€ì ëííꞰ볎ë€ë ê·žë€ê³Œ íšê» í¬ì§ì
ì ì·ší ì ììµëë€.
ê°ì¥ ê°ë ¥í ì ížë ìŒë°ì ìŒë¡ 죌ì ìì¥ ë³ê³¡ì ìì, ì¢
ì¢
ì€ìí ê°ê²© ìì§ì ìŽì ì ëíëë€ë ì ì êž°ìµíìžì. ìŽ ì§í륌 ížë ìŽë© ì ê·Œë²ì íµí©íšìŒë¡ìš, ìì¥ ë°©í¥ì ë ëì íì ìŒë¡ ììž¡íë ë° ëììŽ ëë êž°êŽ í¬ì§ì
ëì ëí íµì°°ë ¥ì ì»ì ì ììµëë€.
âââââââââââââââââââââââââââââââââââââ
â» ë©Žì±
ì¡°í: 몚ë ížë ìŽë© ë구ì ë§ì°¬ê°ì§ë¡, CME-Exchange Smart Money Detectorë 볎조 ì§íë¡ ì¬ì©ëìŽìŒ íë©° ížë ìŽë© ê²°ì ì ì ì ìŒë¡ ìì¡ŽíŽìë ì ë©ëë€. 곌거ì êž°êŽ íë íšíŽìŽ 믞ë ìì¥ ìì§ìì 볎ì¥íì§ë ììµëë€. íì ì ì í 늬ì€í¬ êŽëŠ¬ ì ëµì ížë ìŽë©ì ì¬ì©íìžì.
Profile Any Indicator [Kioseff Trading]Create a visible-range profile for almost any indicator!
Hello!
This script "Profile Any Indicator" allows you to create a visible-range profile for *almost* any indicator hosted on TradingView.
Therefore, the only requirement:
1. Indicator must have a retrievable plot value.
Should your indicator have a retrievable plot value (most indicators do), you can use this script to create a visible-range profile of its values!
Consequently, the profile's always oriented to the left-most or right-most side of your chart - updating as you scroll left or right.
The image above shows me using the indicator to create a profile for MACD. I am largely zoomed out and the profile has adjusted to chart orientation.
Let's zoom in and see what happens!
Voila!
The indicator adjusted to my chart positioning and created a new visible-range profile! No manual adjustments are required (:
Instructions
1. Load the indicator you'd like to profile on the chart.
The image above shows me applying the OBV indicator to the chart. Additionally, the "Profile Any Indicator" script is also loaded on the chart, instructing me to add an indicator to its settings.
2. From the settings for "Profile Any indicator", locate the "Indicator" setting and select the indicator you would like to profile.
The image above shows me selecting the OBV indicator in the settings for "Profile Any Indicator".
Once steps 1 and 2 are complete you'll have a visible-range profile for the selected indicator on your chart!
The image above shows the completion of the process.
3. Merge the indicator pane or select to plot the selected indicator in the current pane.
From here, you can select to plot the value of the selected indicator in the current pane or merge the selected indicator's pane (which must stay on the chart) with the pane designated to the "Profile Any Indicator" script.
The image above shows the two panes merged.
The image above shows the two panes separate. Alternatively, in the settings for "Profile Any Indicator", I selected to plot OBV in its pane.
You can select to populate the visible-range profile on the right of the chart!
Additionally, you can modify the POC line, value area %, and, essentially, any parameter you'd find for a volume-profile-like indicator!
Thanks for checking this out (:
52SIGNAL RECIPE Whale Smart Money Detector52SIGNAL RECIPE Whale Smart Money Detector
â Overview
52SIGNAL RECIPE Whale Smart Money Detector is an innovative indicator that detects the movements of whales (large investors) in the cryptocurrency market in real-time. This powerful tool tracks large-scale trading activities that significantly impact the market, providing valuable signals before important market direction changes occur. It can be applied to any cryptocurrency chart, allowing traders to follow the movements of big money anytime, anywhere.
The unique strength of this indicator lies in its comprehensive analysis of volume surges, price volatility, and trend strength to accurately capture whale market entries and exits. By providing clear visual representation of large fund flow data that is difficult for ordinary traders to detect, you gain the opportunity to move alongside the big players in the market.
âââââââââââââââââââââââââââââââââââââ
â Key Features
⢠Whale Activity Detection System: Analyzes volume surges and price impacts to capture large investor movements in real-time
⢠Precise Volume Analysis: Distinguishes between regular volume and whale volume to track only meaningful market movements
⢠Market Impact Measurement: Quantifies and analyzes the real impact of whale buying/selling on the market
⢠Continuity Tracking: Follows market direction continuity after whale activity to confirm signal validity
⢠Intuitive Visualization: Easily identifies whale activity points through color bar charts and clear labels
⢠Trend Strength Display: Calculates and displays current market buy/sell strength in real-time in a table
⢠Whale Signal Filtering: Applies multiple filtering systems to detect only genuine whale activity
⢠Customizable Sensitivity Settings: Offers flexible parameters to adjust whale detection sensitivity according to market conditions
âââââââââââââââââââââââââââââââââââââ
â Understanding Signal Types
â Whale Buy Signal
⢠Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price rises beyond normal volatility
⢠Visual Representation: Translucent blue bar coloring with "ðWhale Buying Detected!" label on the candle where the buy signal occurs
⢠Market Interpretation: Indicates that large funds are actively buying the coin, which is likely to lead to price increases
â Whale Sell Signal
⢠Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price falls beyond normal volatility
⢠Visual Representation: Translucent pink bar coloring with "ðWhale Selling Detected!" label on the candle where the sell signal occurs
⢠Market Interpretation: Indicates that large funds are actively selling the coin, which is likely to lead to price decreases
âââââââââââââââââââââââââââââââââââââ
â Understanding Trend Analysis
â Trend Analysis Method
⢠Definition: Measures current trend and strength by analyzing the ratio of up/down candles over a set period
⢠Visual Representation: Displayed in the table as "BUY" and "SELL" percentages, with the current trend clearly marked as "BULLISH", "BEARISH", or "NEUTRAL"
⢠Calculation Method:
ⶠBuy ratio = (Number of up candles) / (Total analysis period)
ⶠSell ratio = (Number of down candles) / (Total analysis period)
ⶠCurrent trend determined by the dominant ratio as "BULLISH" or "BEARISH"
â Trend Utilization Methods
⢠Whale Signal Confirmation: Signal reliability increases when whale signals align with the current trend
⢠Reversal Point Identification: Opposing whale signals during strong trends may indicate important reversal points
⢠Market Strength Assessment: Understand the balance of power in the current market through buy/sell ratios
⢠Signal Context Understanding: Consider trend information alongside whale signals for interpretation in a broader market context
âââââââââââââââââââââââââââââââââââââ
â Indicator Settings Guide
â Key Setting Parameters
⢠Volume Impact Factor:
ⶠPurpose: Sets the minimum multiplier for immediate volume impact to be considered whale activity
ⶠLower values: Generate more signals, detect smaller whales
ⶠHigher values: Fewer signals, detect only very large whales
ⶠRecommended range: 2.0-4.0 (adjust according to market conditions)
⢠Sensitivity Factor:
ⶠPurpose: Adjusts sensitivity of price movement relative to normal volatility
ⶠLower values: Increased sensitivity, more signals generated
ⶠHigher values: Decreased sensitivity, only stronger price impacts detected
ⶠRecommended range: 0.2-0.5 (set higher in highly volatile markets)
⢠Trend Analysis Period:
ⶠPurpose: Sets the number of candles to calculate buy/sell ratios
ⶠLower values: More responsive to recent trends
ⶠHigher values: More stable analysis considering longer-term trends
ⶠRecommended range: 30-70 (adjust according to trading style)
âââââââââââââââââââââââââââââââââââââ
â Synergy with Other Indicators
⢠Key Support/Resistance Levels:
ⶠWhale signals occurring near important technical levels have higher reliability
ⶠCoincidence of weekly/monthly pivot points and whale signals confirms important price points
⢠Moving Averages:
ⶠPay attention to whale signals near key moving averages (50MA, 200MA)
ⶠSimultaneous occurrence of moving average breakouts and whale signals indicates important technical events
⢠Volume Profile:
ⶠWhale activity near high volume nodes confirms important price levels
ⶠWhale signals at low volume nodes may indicate possibility of rapid price movements
⢠Volatility Indicators:
ⶠWhale signals after periods of low volatility may mark the beginning of new market movements
ⶠWhale signals after Bollinger Band contraction may be precursors to large movements
⢠Market Structure:
ⶠWhale signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
ⶠCoincidence of market structure changes and whale activity may signal important trend changes
âââââââââââââââââââââââââââââââââââââ
â Conclusion
52SIGNAL RECIPE Whale Smart Money Detector tracks the trading activities of large investors in the cryptocurrency market in real-time, providing traders with valuable insights. Because it can be applied to any cryptocurrency chart, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of large fund flows that are easily missed by ordinary traders. By comprehensively analyzing volume surges, immediate price impacts, and trend continuity to accurately capture whale activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals and real-time trend strength measurements help traders quickly grasp market conditions and understand market direction. By integrating this powerful tool into your trading system, gain insights into where the market's smart money is flowing for better market understanding.
âââââââââââââââââââââââââââââââââââââ
â» Disclaimer: Like all trading tools, the 52SIGNAL RECIPE Whale Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of whale behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
52SIGNAL RECIPE Whale Smart Money Detector
â ê°ì
52SIGNAL RECIPE Whale Smart Money Detectorë ìížíí ìì¥ìì ê³ ë(ëí í¬ìì)ì ìì§ìì ì€ìê°ìŒë¡ ê°ì§íë íì ì ìž ì§íì
ëë€. ìŽ ê°ë ¥í ë구ë ìì¥ì í° ìí¥ì 믞ì¹ë ëê·ëªš ížë ìŽë© íëì ì¶ì íì¬ ì€ìí ìì¥ ë°©í¥ ì íìŽ ìŒìŽëêž° ì ì ê·ì€í ì ížë¥Œ ì ê³µí©ëë€. 몚ë ìížíí ì°šížì ì ì© ê°ë¥íì¬ ížë ìŽëë€ìŽ ìžì ìŽëìë ëí ìêžì ìì§ìì ë°ëŒê° ì ìê² íŽì€ëë€.
ìŽ ì§íì ë
볎ì ìž ê°ì ì ê±°ëë êžìŠ, ê°ê²© ë³ëì±, ê·žëŠ¬ê³ ì¶ìž ê°ë륌 ì¢
í©ì ìŒë¡ ë¶ìíì¬ ê³ ëì ìì¥ ì§ì
곌 íŽì¶ì ì íí í¬ì°©íë€ë ì ì
ëë€. ìŒë° ížë ìŽëë€ìŽ ëì¹êž° ì¬ìŽ ëí ìêžì íëŠ ë°ìŽí°ë¥Œ ìê°ì ìŒë¡ ëª
ííê² ì ê³µíšìŒë¡ìš, ì¬ë¬ë¶ì ìì¥ì í° ìë€ê³Œ íšê» ìì§ìŒ ì ìë êž°í륌 ì»ê² ë©ëë€.
âââââââââââââââââââââââââââââââââââââ
â 죌ì í¹ì§
â¢ ê³ ë íë ê°ì§ ìì€í
: ê±°ëë êžìŠê³Œ ê°ê²© ìí©ížë¥Œ ë¶ìíì¬ ëí í¬ììì ìì§ìì ì€ìê°ìŒë¡ í¬ì°©
⢠ì ë°í ê±°ëë ë¶ì: ìŒë° ê±°ëë곌 ê³ ë ê±°ëëì 구ë¶íì¬ ì믞 ìë ìì¥ ìì§ìë§ ì¶ì
⢠ìì¥ ìí¥ë ¥ ìž¡ì : ê³ ëì 맀ì/맀ëê° ìì¥ì 믞ì¹ë ì€ì§ì ìí¥ë ¥ì ìì¹ííì¬ ë¶ì
⢠ì°ìì± ì¶ì : ê³ ë íë ìŽí ìì¥ ë°©í¥ì ì§ìì±ì ì¶ì íì¬ ì ížì ì íšì± íìž
⢠ì§êŽì ìê°í: ì»¬ë¬ ë° ì°šížì ëª
íí ëŒë²šì íµíŽ ê³ ë íë ì§ì ì ìœê² ìë³
⢠ì¶ìž ê°ë íì: íì¬ ìì¥ì 맀ì/맀ë ê°ë륌 ì€ìê°ìŒë¡ ê³ì°íì¬ í
ìŽëžì íì
â¢ ê³ ë ì íž íí°ë§: ì§ì í ê³ ë íëë§ ê°ì§íëë¡ ë€ì€ íí°ë§ ìì€í
ì ì©
⢠ë§ì¶€í ê°ë ì€ì : ìì¥ ìí©ì ë°ëŒ ê³ ë ê°ì§ ê°ë륌 ì¡°ì í ì ìë ì ì°í íëŒë¯ží° ì ê³µ
âââââââââââââââââââââââââââââââââââââ
â ì íž ì í ìŽíŽíêž°
â ê³ ë 맀ì ì íž
⢠ì ì: ê±°ëëìŽ íê· ë³Žë€ í¬ê² ìŠê°íê³ , ìŠê°ì ìž ê±°ëë ì¶©ê²©ìŽ í¬ë©°, ê°ê²©ìŽ ì ì ë³ëì±ì ìŽê³Œíì¬ ìì¹í ë ë°ì
⢠ìê°ì íí: 맀ì ì ížê° ë°ìí ìºë€ì ë°í¬ëª
íëì ë° ì»¬ë¬ë§ê³Œ íšê» "ðWhale Buying Detected!" ëŒë²š íì
⢠ìì¥ íŽì: ëí ìêžìŽ ì ê·¹ì ìŒë¡ ìœìžì 맀ìíê³ ììŒë©°, ìŽë 곧 ê°ê²© ìì¹ìŒë¡ ìŽìŽì§ ê°ë¥ì±ìŽ ëìì ì믞
â ê³ ë 맀ë ì íž
⢠ì ì: ê±°ëëìŽ íê· ë³Žë€ í¬ê² ìŠê°íê³ , ìŠê°ì ìž ê±°ëë ì¶©ê²©ìŽ í¬ë©°, ê°ê²©ìŽ ì ì ë³ëì±ì ìŽê³Œíì¬ íëœí ë ë°ì
⢠ìê°ì íí: 맀ë ì ížê° ë°ìí ìºë€ì ë°í¬ëª
ë¶íì ë° ì»¬ë¬ë§ê³Œ íšê» "ðWhale Selling Detected!" ëŒë²š íì
⢠ìì¥ íŽì: ëí ìêžìŽ ì ê·¹ì ìŒë¡ ìœìžì 맀ëíê³ ììŒë©°, ìŽë 곧 ê°ê²© íëœìŒë¡ ìŽìŽì§ ê°ë¥ì±ìŽ ëìì ì믞
âââââââââââââââââââââââââââââââââââââ
â ì¶ìž ë¶ì ìŽíŽíêž°
â ì¶ìž ë¶ì ë°©ì
⢠ì ì: ì€ì ë êž°ê° ëìì ìì¹/íëœ ìºë€ ë¹ìšì ë¶ìíì¬ ìì¥ì íì¬ ì¶ìžì ê°ë륌 ìž¡ì
⢠ìê°ì íí: í
ìŽëžì "BUY"ì "SELL" ë¹ìšìŽ ë°±ë¶ìšë¡ íìëë©°, íì¬ ì¶ìžê° "BULLISH", "BEARISH" ëë "NEUTRAL"ë¡ ëª
ííê² íìëš
⢠ê³ì° ë°©ì:
ⶠ맀ì ë¹ìš = (ìì¹ ìºë€ ì) / (ì 첎 ë¶ì êž°ê°)
ⶠ맀ë ë¹ìš = (íëœ ìºë€ ì) / (ì 첎 ë¶ì êž°ê°)
ⶠì°ìží ë¹ìšì ë°ëŒ "BULLISH" ëë "BEARISH" ì¶ìž ê²°ì
â ì¶ìž íì© ë°©ë²
â¢ ê³ ë ì íž íìž: ê³ ë ì ížê° íì¬ ì¶ìžì ìŒì¹í ë ì ížì ì 뢰ëê° ëìì§
⢠ë°ì í¬ìžíž ìë³: ê°í ì¶ìž ììì ë°ìíë ë°ë ë°©í¥ì ê³ ë ì ížë ì€ìí ë°ì í¬ìžížìŒ ì ìì
⢠ìì¥ ê°ë íê°: 맀ì/맀ë ë¹ìšì íµíŽ íì¬ ìì¥ì ìžë ¥ ê· í íì
⢠ì íž ë°ì ë§¥ëœ ìŽíŽ: ì¶ìž ì 볎ì ê³ ë ì ížë¥Œ íšê» ê³ ë €íì¬ ë ëì ìì¥ ì»ší
ì€ížìì íŽì
âââââââââââââââââââââââââââââââââââââ
â ì§í ì€ì ê°ìŽë
â 죌ì ì€ì 맀ê°ë³ì
⢠Volume Impact Factor (ê±°ëë ìí©íž ìì):
ⶠ목ì : ê³ ë íëìŒë¡ ê°ì£Œí ìŠê°ì ìž ê±°ëë 충격ì ìµì ë°°ì ì€ì
ⶠë®ì ê°: ë ë§ì ì íž ìì±, ìì ê³ ëë ê°ì§
ⶠëì ê°: ë ì ì ì íž, ë§€ì° í° ê³ ëë§ ê°ì§
ⶠê¶ì¥ ë²ì: 2.0-4.0 (ìì¥ ìí©ì ë°ëŒ ì¡°ì )
⢠Sensitivity Factor (믌ê°ë ìì):
ⶠ목ì : ì ì ë³ëì± ëë¹ ê°ê²© ë³ëì 믌ê°ë ì¡°ì
ⶠë®ì ê°: 믌ê°ë ìŠê°, ë ë§ì ì íž ìì±
ⶠëì ê°: 믌ê°ë ê°ì, ë ê°í ê°ê²© ì¶©ê²©ë§ ê°ì§
ⶠê¶ì¥ ë²ì: 0.2-0.5 (ë³ëì±ìŽ ëì ìì¥ììë ëê² ì€ì )
⢠Trend Analysis Period (ì¶ìž ë¶ì êž°ê°):
ⶠ목ì : 맀ì/맀ë ë¹ìšì ê³ì°í ìºë€ ì ì€ì
ⶠë®ì ê°: ìµê·Œ ì¶ìžì ë 믌ê°íê² ë°ì
ⶠëì ê°: ë ꞎ êž°ê°ì ì¶ìžë¥Œ ê³ ë €íì¬ ìì ì ìž ë¶ì
ⶠê¶ì¥ ë²ì: 30-70 (ížë ìŽë© ì€íìŒì ë°ëŒ ì¡°ì )
âââââââââââââââââââââââââââââââââââââ
â ë€ë¥ž ì§íìì ìëì§
⢠죌ì ì§ì§/ì í ë 벚:
ⶠì€ìí êž°ì ì ë 벚 ê·Œì²ìì ë°ìíë ê³ ë ì ížë ë ëì ì 뢰ë륌 ê°ì§
ⶠ죌ê°/ìê° íŒëŽ í¬ìžížì ê³ ë ì ížì ìŒì¹ë ì€ìí ê°ê²© ì§ì ì íìžíŽì€
⢠ìŽëíê· ì :
ⶠ죌ì ìŽëíê· ì (50MA, 200MA) ê·Œì²ìì ë°ìíë ê³ ë ì ížì 죌목
ⶠìŽëíê· ì ëíì ê³ ë ì ížê° ëì ë°ì ì ì€ìí êž°ì ì ìŽë²€íž íìž
⢠볌륚 íë¡í:
ⶠëì 볌륚 ë
žë ê·Œì²ììì ê³ ë íëì ì€ìí ê°ê²© ë 벚 íìž
ⶠë®ì 볌륚 ë
žëìì ë°ìíë ê³ ë ì ížë êžê²©í ê°ê²© ìŽë ê°ë¥ì± ìì
⢠ë³ëì± ì§í:
ⶠë®ì ë³ëì± êµ¬ê° ìŽí ë°ìíë ê³ ë ì ížë ìë¡ìŽ ìì¥ ìì§ìì ìììŒ ì ìì
ⶠ볌늰ì ë°Žë ìì¶ í ë°ìíë ê³ ë ì ížë í° ìì§ìì ì ì¡°ìŒ ì ìì
⢠ìì¥ êµ¬ì¡°:
ⶠ죌ì ìì¥ êµ¬ì¡°(ëì ê³ ì /ì ì , ë®ì ê³ ì /ì ì ) ê·Œì²ìì ë°ìíë ê³ ë ì ížë 구조 ë³í ìì
ⶠìì¥ êµ¬ì¡° ë³íì ê³ ë íëì ìŒì¹ë ì€ìí ížë ë ë³í ì ížìŒ ì ìì
âââââââââââââââââââââââââââââââââââââ
â ê²°ë¡
52SIGNAL RECIPE Whale Smart Money Detectorë ìížíí ìì¥ìì ëí í¬ììë€ì ê±°ë íëì ì€ìê°ìŒë¡ ì¶ì íì¬ ížë ìŽëë€ìê² ê·ì€í íµì°°ë ¥ì ì ê³µí©ëë€. 몚ë ìížíí ì°šížì ì ì© ê°ë¥íêž° ë묞ì, ì¬ë¬ë¶ìŽ ì ížíë ížë ìŽë© íë«íŒìì ë°ë¡ íì©í ì ììµëë€.
ìŽ ì§íì íµì¬ ê°ì¹ë ìŒë° ížë ìŽëë€ìŽ ëì¹êž° ì¬ìŽ ëí ìêžì íëŠì ì§êŽì ìŒë¡ ìê°ííì¬ ì ê³µíë€ë ì ì
ëë€. ê±°ëë êžìŠ, ìŠê°ì ìž ê°ê²© 충격, ê·žëŠ¬ê³ ì¶ìž ì§ìì±ì ì¢
í©ì ìŒë¡ ë¶ìíì¬ ê³ ëì íëì ì íí í¬ì°©íšìŒë¡ìš, ì¬ë¬ë¶ì ìì¥ì ìì§ìŽë í° ìë€ê³Œ íšê»í ì ìë êž°í륌 ì»ê² ë©ëë€.
ëª
íí 맀ì/맀ë ì ížì ì€ìê° ì¶ìž ê°ë ìž¡ì ì ížë ìŽëë€ìŽ ìì¥ ìí©ì íëì íì
íê³ ìì¥ì ë°©í¥ì±ì ìŽíŽíë ë° ëìì ì€ëë€. ìŽ ê°ë ¥í ë구륌 ì¬ë¬ë¶ì ížë ìŽë© ìì€í
ì íµí©íšìŒë¡ìš, ìì¥ì ì€ë§íž ëšžëê° ìŽëë¡ íë¬ê°ëì§ íì
íê³ ë ëì íµì°°ë ¥ì ì»ìŒìžì.
âââââââââââââââââââââââââââââââââââââ
â» ë©Žì±
ì¡°í: 몚ë ížë ìŽë© ë구ì ë§ì°¬ê°ì§ë¡, 52SIGNAL RECIPE Whale Smart Money Detectorë 볎조 ì§íë¡ ì¬ì©íŽìŒ íë©° ížë ìŽë© ê²°ì ì ì ì ìŒë¡ ìì¡ŽíŽìë ì ë©ëë€. 곌거ì ê³ ë íë íšíŽìŽ 믞ë ìì¥ ìì§ìì 볎ì¥íì§ë ììµëë€. íì ì ì í 늬ì€í¬ êŽëŠ¬ ì ëµì ížë ìŽë©ì íì©íìžì.
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
â Overview
Coinbase Institutional Smart Money Detector is an innovative indicator that detects the buying and selling movements of institutional investors through Coinbase Prime in real-time. This powerful tool tracks the flow of funds from large institutions to provide valuable signals before significant market direction changes occur. It can be applied to Bitcoin charts on any exchange, allowing traders to follow the "smart money" movements of institutions anytime, anywhere.
The unique strength of this indicator lies in its comprehensive assessment of institutional investors' consecutive trading behaviors, volume patterns, and trend strength by analyzing Coinbase data in real-time. By providing clear visual representation of institutional fund flow data that is difficult for ordinary traders to access, you gain the opportunity to move alongside the big players in the market.
âââââââââââââââââââââââââââââââââââââ
â Key Features
⢠Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
⢠Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
⢠Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
⢠Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
⢠Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
⢠Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
⢠Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
⢠Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
⢠Customizable Settings: Allows customization of key parameters to match your trading style
âââââââââââââââââââââââââââââââââââââ
â Understanding Signal Types
â Institutional Buy Signal
⢠Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
⢠Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
⢠Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
⢠Signal Strength Factors:
ⶠConsecutive price increase patterns
ⶠAbove-average volume
ⶠStrong upward trend strength measurement
ⶠSignificant price movement
â Institutional Sell Signal
⢠Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
⢠Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
⢠Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
⢠Signal Strength Factors:
ⶠConsecutive price decrease patterns
ⶠAbove-average volume
ⶠStrong downward trend strength measurement
ⶠSignificant price movement
âââââââââââââââââââââââââââââââââââââ
â Understanding Trend Strength
â Trend Strength Measurement Method
⢠Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
⢠Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
⢠Strength Threshold: Strong/weak determination according to user-configurable threshold
⢠Calculation Method:
ⶠUpward trend strength = (Number of upward candles) / (Total analysis period)
ⶠDownward trend strength = (Number of downward candles) / (Total analysis period)
ⶠDisplayed as "STRONG" when strength is above threshold, "WEAK" when below
â Utilizing Trend Strength
⢠Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
⢠Trend Confirmation: Evaluates the health and sustainability of the current market trend
⢠Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
⢠Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
âââââââââââââââââââââââââââââââââââââ
â Practical Trading Applications
â Institutional Buy Signal Strategy
⢠Trend Reversal Scenario:
ⶠSetup: Strong institutional buy signal during a downtrend
ⶠEntry: Buy after signal confirmation in the next candle
ⶠStop Loss: Below the low of the signal candle
ⶠTake Profit: When reaching previous major resistance or when trend strength weakens
⢠Trend Continuation Scenario:
ⶠSetup: Institutional buy signal after correction in an uptrend
ⶠEntry: Buy after signal confirmation
ⶠStop Loss: Below recent major low
ⶠTake Profit: Gradually take profits considering trend strength
â Institutional Sell Signal Strategy
⢠Trend Reversal Scenario:
ⶠSetup: Strong institutional sell signal during an uptrend
ⶠEntry: Sell after signal confirmation in the next candle
ⶠStop Loss: Above the high of the signal candle
ⶠTake Profit: When reaching previous major support or when trend strength weakens
⢠Trend Continuation Scenario:
ⶠSetup: Institutional sell signal after bounce in a downtrend
ⶠEntry: Sell after signal confirmation
ⶠStop Loss: Above recent major high
ⶠTake Profit: Gradually take profits considering trend strength
â Multi-Timeframe Approach
⢠Higher Timeframe Direction Confirmation:
ⶠCheck institutional signals and trend strength on daily/4-hour charts
ⶠUse for setting main trading direction
⢠Lower Timeframe Entry Point Finding:
ⶠWait for lower timeframe signals that align with higher timeframe direction
ⶠUse for capturing precise entry points
⢠Cross-Timeframe Signal Alignment:
ⶠSignal strength increases when signals occur in the same direction across multiple timeframes
ⶠCapture high-probability trading opportunities
âââââââââââââââââââââââââââââââââââââ
â Indicator Settings Guide
â Main Setting Parameters
⢠Institutional Continuity Period:
ⶠPurpose: Sets the period to check institutional consecutive buying/selling activity
ⶠLower value: Generates more signals, increases responsiveness
ⶠHigher value: Reduces number of signals, increases reliability
⢠Trend Strength Threshold:
ⶠPurpose: Sets the minimum threshold for determining strong trends
ⶠLower value: More signals, less filtering
ⶠHigher value: Generates signals only in stronger trends, higher filtering
âââââââââââââââââââââââââââââââââââââ
â Synergy with Other Indicators
⢠Support/Resistance Levels:
ⶠInstitutional signals occurring at key support/resistance levels have higher probability
ⶠCombination of key technical analysis levels and institutional activity provides powerful signals
⢠Moving Averages:
ⶠPay attention to institutional signals near key moving averages (50MA, 200MA)
ⶠStrong trend change possibility when moving average crossovers coincide with institutional signals
⢠RSI/Momentum Indicators:
ⶠInstitutional buy signals in oversold conditions increase reversal probability
ⶠInstitutional sell signals in overbought conditions increase reversal probability
⢠Volume Profile:
ⶠInstitutional signals at high volume nodes confirm important price levels
ⶠInstitutional activity in key trading areas greatly impacts price direction
⢠Market Structure:
ⶠInstitutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
ⶠCoincidence of market structure changes and institutional activity indicates important trend turning points
âââââââââââââââââââââââââââââââââââââ
â Conclusion
Coinbase Institutional Smart Money Detector provides traders with valuable insights by tracking spot Bitcoin trading activities of institutional investors through Coinbase Prime in real-time. Because it can be applied to Bitcoin charts on any exchange, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of institutional fund flow data that is difficult for ordinary traders to access. By comprehensively analyzing consecutive price movements, volume increases, and trend strength to capture institutional activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals based on Coinbase Prime data and real-time trend strength measurements help traders quickly grasp market conditions and make strategic decisions. By integrating this powerful tool into your trading strategy, secure a competitive edge to understand where the market's smart money is flowing and position accordingly.
âââââââââââââââââââââââââââââââââââââ
â» Disclaimer: Like all trading tools, the Institutional Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
Coinbase Institutional Smart Money Detector
â ê°ì
Coinbase Institutional Smart Money Detectorë ìœìžë² ìŽì€ íëŒì(Coinbase Prime)ì íµí êž°êŽ í¬ììë€ì í묌 ë¹ížìœìž 맀ì/맀ë ìì§ìì ì€ìê°ìŒë¡ ê°ì§íë íì ì ìž ì§íì
ëë€. ìŽ ê°ë ¥í ë구ë ëí êž°êŽë€ì ìêž íëŠì ì¶ì íì¬ ì€ìí ìì¥ ë°©í¥ ì íìŽ ìŒìŽëêž° ì ì ê·ì€í ì ížë¥Œ ì ê³µí©ëë€. ìŽë€ ê±°ëìì ë¹ížìœìž ì°šížìë ì ì© ê°ë¥íì¬ ížë ìŽëë€ìŽ ìžì ìŽëìë êž°êŽì "ì€ë§íž ëšžë" ìì§ìì ë°ëŒê° ì ìê² íŽì€ëë€.
ìŽ ì§íì ë
볎ì ìž ê°ì ì ìœìžë² ìŽì€ ë°ìŽí°ë¥Œ ì€ìê°ìŒë¡ ë¶ìíì¬ êž°êŽ í¬ììë€ì ì°ìì ìž ë§€ë§€ íë, ê±°ëë íšíŽ, ê·žëŠ¬ê³ ì¶ìž ê°ë륌 ì¢
í©ì ìŒë¡ íê°íë€ë ì ì
ëë€. ìŒë° ížë ìŽëë€ìŽ ì ê·Œíêž° ìŽë €ìŽ êž°êŽ ìêž íëŠ ë°ìŽí°ë¥Œ ìê°ì ìŒë¡ ëª
ííê² ì ê³µíšìŒë¡ìš, ì¬ë¬ë¶ì ìì¥ì í° ìë€ê³Œ íšê» ìì§ìŒ ì ìë êž°í륌 ì»ê² ë©ëë€.
âââââââââââââââââââââââââââââââââââââ
â 죌ì í¹ì§
⢠ìœìžë² ìŽì€ íëŒì ë°ìŽí° ë¶ì: êž°êŽ ì ì© ìë¹ì€ìž ìœìžë² ìŽì€ íëŒìì ë°ìŽí°ë¥Œ ì€ìê°ìŒë¡ ì¶ì íì¬ êž°êŽì ìì§ì í¬ì°©
⢠ì€ìê° êž°êŽ ìêž íëŠ ëªšëí°ë§: ëí êž°êŽë€ì í묌 맀ì/맀ë íëì ìŠê°ì ìŒë¡ ê°ì§íì¬ ìì¥ì ìì í¬ì§ì
ë ê°ë¥
⢠몚ë ê±°ëì ížíì±: ìŽë€ ê±°ëìì ë¹ížìœìž ì°šížìë ì ì© ê°ë¥íì¬ ì ížíë ížë ìŽë© íë«íŒìì íì© ê°ë¥
â¢ êž°êŽ ì°ìì± ë¶ì: ì°ìì ìž ë§€ì/맀ë íšíŽì ì¶ì íì¬ êž°êŽì ì§ìì ìž íë ìë³
⢠ì€ë§íž 볌륚 ë¶ì: íê· ëë¹ ê±°ëë ìŠê°ë¥Œ ê°ì§íê³ ì£Œì ê±°ë ìê°ë륌 ë¶ì
⢠ì¶ìž ê°ë ìž¡ì : ìºë€ íšíŽì ë¶ìíŽ ìì¹/íëœ ì¶ìžì ê°ë륌 ìì¹ííì¬ íì
⢠ì§êŽì ìê°í: ë° ì»¬ë¬ë§ê³Œ ëŒë²šì íµíŽ êž°êŽ íë ì§ì ì ì°šížì ëª
ííê² íì
⢠ì€ìê° ê°ë íì: íì¬ ì¶ìžì ê°ë륌 ì€ìê°ìŒë¡ ê³ì°íì¬ í
ìŽëžì íì
⢠ì¬ì©ì ì ì ì€ì : 죌ì 맀ê°ë³ì륌 ì¡°ì íì¬ ìì ì ížë ìŽë© ì€íìŒì ë§ê² 컀ì€í°ë§ìŽì§ ê°ë¥
âââââââââââââââââââââââââââââââââââââ
â ì íž ì í ìŽíŽíêž°
â êž°êŽ ë§€ì ì íž
⢠ì ì: ìœìžë² ìŽì€ íëŒìì íµíŽ êž°êŽ í¬ììë€ìŽ ì°ìì ìž ë§€ì íëì 볎ìŽë©°, ìŽì íšê» ê±°ëë ìŠê°ì ê°í ìì¹ ì¶ìžê° ëíë ë ë°ì
⢠ìê°ì íí: 맀ì ì ížê° ë°ìí ìºë€ì ë°í¬ëª
íëì ë° ì»¬ë¬ë§ê³Œ íšê» "Institution Buying Detected!" ëŒë²š íì
⢠ìì¥ íŽì: êž°êŽ í¬ììë€ìŽ ì ê·¹ì ìŒë¡ í묌 ë¹ížìœìžì 맀ìíê³ ììŒë©°, ìŽë 곧 ê°ê²© ìì¹ìŒë¡ ìŽìŽì§ ê°ë¥ì±ìŽ ëìì ì믞
⢠ì íž ê°ë ìì:
ⶠì°ìì ìž ê°ê²© ìì¹ íšíŽ
ⶠíê· ë³Žë€ ëì ê±°ëë
ⶠê°í ìì¹ ì¶ìž ê°ë ìž¡ì ê°
ⶠì ì믞í ê°ê²© ë³ë
â êž°êŽ ë§€ë ì íž
⢠ì ì: ìœìžë² ìŽì€ íëŒìì íµíŽ êž°êŽ í¬ììë€ìŽ ì°ìì ìž ë§€ë íëì 볎ìŽë©°, ìŽì íšê» ê±°ëë ìŠê°ì ê°í íëœ ì¶ìžê° ëíë ë ë°ì
⢠ìê°ì íí: 맀ë ì ížê° ë°ìí ìºë€ì ë°í¬ëª
ë¶íì ë° ì»¬ë¬ë§ê³Œ íšê» "Institution Selling Detected!" ëŒë²š íì
⢠ìì¥ íŽì: êž°êŽ í¬ììë€ìŽ ì ê·¹ì ìŒë¡ í묌 ë¹ížìœìžì 맀ëíê³ ììŒë©°, ìŽë 곧 ê°ê²© íëœìŒë¡ ìŽìŽì§ ê°ë¥ì±ìŽ ëìì ì믞
⢠ì íž ê°ë ìì:
ⶠì°ìì ìž ê°ê²© íëœ íšíŽ
ⶠíê· ë³Žë€ ëì ê±°ëë
ⶠê°í íëœ ì¶ìž ê°ë ìž¡ì ê°
ⶠì ì믞í ê°ê²© ë³ë
âââââââââââââââââââââââââââââââââââââ
â ì¶ìž ê°ë ìŽíŽíêž°
â ì¶ìž ê°ë ìž¡ì ë°©ì
⢠ì ì: ìµê·Œ ìŒì êž°ê° ëìì ìì¹/íëœ ìºë€ ë¹ìšì ë¶ìíì¬ ì¶ìžì ê°ë륌 ìž¡ì
⢠ìê°ì íí: í
ìŽëžì "BULL STRENGTH" ëë "BEAR STRENGTH"ë¡ íìëë©°, ë°±ë¶ìš ê°ê³Œ íšê» "STRONG" ëë "WEAK" ìí íì
⢠ê°ë ìê³ê°: ì¬ì©ìê° ì€ì ê°ë¥í ìê³ê°ì ë°ëŒ ê°íš/ìœíš íì
⢠ê³ì° ë°©ì:
ⶠìì¹ ì¶ìž ê°ë = (ìì¹ ìºë€ ì) / (ì 첎 ë¶ì êž°ê°)
ⶠíëœ ì¶ìž ê°ë = (íëœ ìºë€ ì) / (ì 첎 ë¶ì êž°ê°)
ⶠê°ëê° ìê³ê° ìŽììŒ ë "STRONG", 믞ë§ìŒ ë "WEAK"ë¡ íì
â ì¶ìž ê°ëì íì©
⢠ì íž íí°ë§: ì¶ìž ê°ëê° ê°í ëë§ ì ížë¥Œ ìì±íì¬ íì ì íž ê°ì
⢠ì¶ìž íìž: íì¬ ìì¥ ì¶ìžì 걎ì ì±ê³Œ ì§ì ê°ë¥ì± íê°
⢠ì§ì
/íŽì¶ ê²°ì : ê°í ì¶ìžìì ì§ì
íê³ ìœí ì¶ìžë¡ ì íë ë íŽì¶ ê³ ë €
⢠늬ì€í¬ êŽëŠ¬: ìœí ì¶ìžììë í¬ì§ì
í¬êž°ë¥Œ ì€ìŽê³ , ê°í ì¶ìžììë ë늬ë ì ëµ ì늜 ê°ë¥
âââââââââââââââââââââââââââââââââââââ
â ì€ì ížë ìŽë© ìì©
â êž°êŽ ë§€ì ì íž íì© ì ëµ
⢠ì¶ìž ì í ìë늬ì€:
ⶠì€ì : íëœ ì¶ìž ì€ ê°í êž°êŽ ë§€ì ì íž ë°ì
ⶠì§ì
: ì íž íìž í ë€ì ìºë€ìì 맀ì
ⶠìì : ì íž ìºë€ì ì ì ìë
ⶠìŽìµì€í: ìŽì 죌ì ì íì ëë¬ ì ëë ì¶ìž ê°ëê° ìœíŽì§ ë
⢠ì¶ìž ì§ì ìë늬ì€:
ⶠì€ì : ìì¹ ì¶ìž ì€ ì¡°ì í êž°êŽ ë§€ì ì íž ë°ì
ⶠì§ì
: ì íž íìž í 맀ì
ⶠìì : ìµê·Œ 죌ì ì ì ìë
ⶠìŽìµì€í: ì¶ìž ê°ë륌 ê³ ë €íì¬ ëšê³ì ìŒë¡ ìŽìµì€í
â êž°êŽ ë§€ë ì íž íì© ì ëµ
⢠ì¶ìž ì í ìë늬ì€:
ⶠì€ì : ìì¹ ì¶ìž ì€ ê°í êž°êŽ ë§€ë ì íž ë°ì
ⶠì§ì
: ì íž íìž í ë€ì ìºë€ìì 맀ë
ⶠìì : ì íž ìºë€ì ê³ ì ì
ⶠìŽìµì€í: ìŽì 죌ì ì§ì§ì ëë¬ ì ëë ì¶ìž ê°ëê° ìœíŽì§ ë
⢠ì¶ìž ì§ì ìë늬ì€:
ⶠì€ì : íëœ ì¶ìž ì€ ë°ë± í êž°êŽ ë§€ë ì íž ë°ì
ⶠì§ì
: ì íž íìž í 맀ë
ⶠìì : ìµê·Œ 죌ì ê³ ì ì
ⶠìŽìµì€í: ì¶ìž ê°ë륌 ê³ ë €íì¬ ëšê³ì ìŒë¡ ìŽìµì€í
â ë€ì€ ìê°íë ì ì ê·Œë²
⢠ìì ìê°íë ì ë°©í¥ì± íìž:
ⶠìŒëŽ/4ìê°ëŽìì êž°êŽ ì íž ë° ì¶ìž ê°ë íìž
ⶠ죌 ížë ìŽë© ë°©í¥ ì€ì ì íì©
⢠íì ìê°íë ì ì§ì
ì ì°Ÿêž°:
ⶠìì ìê°íë ì ë°©í¥ê³Œ ìŒì¹íë íì ìê°íë ì ì íž ëêž°
ⶠì ë°í ì§ì
ì í¬ì°©ì íì©
⢠ìê°íë ì ê° ì íž ìŒì¹ íìž:
ⶠì¬ë¬ ìê°íë ììì ëìŒí ë°©í¥ì ì ížê° ë°ìí ë ì íž ê°ë ìŠê°
ⶠëì íë¥ ì ížë ìŽë© êž°í í¬ì°©
âââââââââââââââââââââââââââââââââââââ
â ì§í ì€ì ê°ìŽë
â 죌ì ì€ì 맀ê°ë³ì
⢠Institutional Continuity Period (êž°êŽ ì°ìì± íìž êž°ê°):
ⶠ목ì : êž°êŽì ì°ìì ìž ë§€ì/맀ë íëì íìží êž°ê° ì€ì
ⶠë®ì ê°: ë ë§ì ì íž ìì±, ë°ìì± ìŠê°
ⶠëì ê°: ì íž ì ê°ì, ì ë¢°ì± ìŠê°
⢠Trend Strength Threshold (ì¶ìž ê°ë ìê³ê°):
ⶠ목ì : ì¶ìžê° ê°íë€ê³ íëší ìµì ìê³ê° ì€ì
ⶠë®ì ê°: ë ë§ì ì íž, ë®ì íí°ë§
ⶠëì ê°: ë ê°í ì¶ìžììë§ ì íž ìì±, ëì íí°ë§
âââââââââââââââââââââââââââââââââââââ
â ë€ë¥ž ì§íìì ìëì§
⢠ì§ì§/ì í ë 벚:
ⶠ죌ì ì§ì§/ì í ë 벚ìì ë°ìíë êž°êŽ ì ížë íë¥ ìŽ ë ëì
ⶠꞰì ì ë¶ìì íµì¬ ë 벚곌 êž°êŽ íëì ê²°í©ì ê°ë ¥í ìê·žë ì ê³µ
⢠ìŽëíê· ì :
ⶠ죌ì ìŽëíê· ì (50MA, 200MA) ê·Œì²ìì ë°ìíë êž°êŽ ì íž ì£Œëª©
ⶠìŽëíê· ì ëíì êž°êŽ ì ížê° ìŒì¹í ë ê°í ì¶ìž ë³í ê°ë¥ì±
⢠RSI/몚ë©í
ì§í:
ⶠ곌맀ì/곌맀ë ìíìì ë°ìíë êž°êŽ ì ížë ë°ì ê°ë¥ì± ëì
ⶠ몚ë©í
ë€ìŽë²ì ì€ì êž°êŽ ì ížì ìŒì¹ë ê°ë ¥í ë°ì ì íž
⢠볌륚 íë¡íìŒ:
ⶠëì 볌륚 ë
žëìì ë°ìíë êž°êŽ ì ížë ì€ìí ê°ê²© ë 벚 íìž
ⶠ죌ì ê±°ë ììììì êž°êŽ íëì ê°ê²© ë°©í¥ì í° ìí¥ ë¯žì¹š
⢠ìì¥ êµ¬ì¡°:
ⶠ죌ì ìì¥ êµ¬ì¡°(ëì ê³ ì /ì ì , ë®ì ê³ ì /ì ì ) ê·Œì²ìì ë°ìíë êž°êŽ ì ížë 구조 ë³í ìì
ⶠìì¥ êµ¬ì¡° ë³íì êž°êŽ íëì ìŒì¹ë ì€ìí ì¶ìž ì íì íì
âââââââââââââââââââââââââââââââââââââ
â ê²°ë¡
Coinbase Institutional Smart Money Detectorë ìœìžë² ìŽì€ íëŒìì íµí êž°êŽ í¬ììë€ì í묌 ë¹ížìœìž ê±°ë íëì ì€ìê°ìŒë¡ ì¶ì íì¬ ížë ìŽëë€ìê² ê·ì€í íµì°°ë ¥ì ì ê³µí©ëë€. ìŽë€ ê±°ëìì ë¹ížìœìž ì°šížìë ì ì© ê°ë¥íêž° ë묞ì, ì¬ë¬ë¶ìŽ ì ížíë ížë ìŽë© íë«íŒìì ë°ë¡ íì©í ì ììµëë€.
ìŽ ì§íì íµì¬ ê°ì¹ë ìŒë° ížë ìŽëë€ìŽ ì ê·Œíêž° ìŽë €ìŽ êž°êŽ ìêž íëŠ ë°ìŽí°ë¥Œ ì§êŽì ìŒë¡ ìê°ííì¬ ì ê³µíë€ë ì ì
ëë€. ì°ìì ìž ê°ê²© ìì§ì, ê±°ëë ìŠê°, ê·žëŠ¬ê³ ì¶ìž ê°ë륌 ì¢
í©ì ìŒë¡ ë¶ìíì¬ êž°êŽì íëì í¬ì°©íšìŒë¡ìš, ì¬ë¬ë¶ì ìì¥ì í° ìë€ê³Œ íšê» ìì§ìŒ ì ìë êž°í륌 ì»ê² ë©ëë€.
ìœìžë² ìŽì€ íëŒì ë°ìŽí°ë¥Œ êž°ë°ìŒë¡ í ëª
íí 맀ì/맀ë ì ížì ì€ìê° ì¶ìž ê°ë ìž¡ì ì ížë ìŽëë€ìŽ ìì¥ ìí©ì íëì íì
íê³ ì ìíê² ì ëµì ê²°ì ì ëŽëŠŽ ì ìê² ëìì€ëë€. ìŽ ê°ë ¥í ë구륌 ì¬ë¬ë¶ì ížë ìŽë© ì ëµì íµí©íšìŒë¡ìš, ìì¥ì ì€ë§íž ëšžëê° ìŽëë¡ íë¬ê°ëì§ íì
íê³ ê·žì ë°ëŒ í¬ì§ì
ëí ì ìë 겜ì ì°ì륌 í볎íìžì.
âââââââââââââââââââââââââââââââââââââ
â» ë©Žì±
ì¡°í: 몚ë ížë ìŽë© ë구ì ë§ì°¬ê°ì§ë¡, Institutional Smart Money Detectorë 볎조 ì§íë¡ ì¬ì©íŽìŒ íë©° ížë ìŽë© ê²°ì ì ì ì ìŒë¡ ìì¡ŽíŽìë ì ë©ëë€. 곌거ì êž°êŽ íë íšíŽìŽ 믞ë ìì¥ ìì§ìì 볎ì¥íì§ë ììµëë€. íì ì ì í 늬ì€í¬ êŽëŠ¬ ì ëµì ížë ìŽë©ì íì©íìžì.
