Crypto Volume Data (VAH,POC,VAL)Crypto Volume Data (VAH, POC, VAL) โ 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 exchangeโs 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 โ 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. Thereโs no need to select lookback windows or configure pairs โ 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 โ 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 โ not synthetic, not heuristic
Why It Matters:
In fragmented crypto markets, liquidity isnโt 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 doesnโt. 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. Itโs built from the ground up to capture where the real trades happen โ not just where price moved โ 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.
Cari dalam skrip untuk "volume profile"
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
๐ฅ 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 oldestโnewest OR newestโoldest
- 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
๐ HOW TO USE IT
๐ข 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
๐ด 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! ๐
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 โ 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 โTwV Multi-timeframe Dynamic VRVPโ that you can find for free use in my profile. This version calculates the mainโs 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 indicatorโs 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 indicatorโs 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 indicatorโs menu.
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 marketโs 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 methodsโSwings, Pivots, Fibonacci, Order Blocks, and Volume Profileโinto a single, unified system.
Zone Clustering: Automatically merges nearby levels into โzonesโ 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 โzone.โ
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:
โSWโ stands for Swing High/Low, and โVWAPโ 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 assetโs 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.
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
โข 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.
โข 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.
โข 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.
โข 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.
โข 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.
Support and Resistance [Jamshid]๐ Support & Resistance
This indicator automatically identifies high-quality Support and Resistance zones using volume-weighted pivot levels. It visualizes price structure with adaptive volume boxes, breakout & retest signals, higher timeframe confirmation, and optional volume profile.
โ
Core Features
๐น 1. Smart Support & Resistance Zones (Volume-Based)
Detects pivot highs/lows with strong volume.
Boxes expand dynamically using ATR.
Zones display actual volume value.
Color intensity reflects volume strength.
๐น 2. Breakouts & Retests
โBreak Sup / Break Resโ labels on structure breaks.
Detects when old resistance becomes support (RโS).
Detects when old support becomes resistance (SโR).
Retest labels and diamond markers for holds.
๐น 3. Volume Profile (Optional)
Shows mini horizontal volume bars at each zone.
Separate bullish/bearish volume distribution.
Adjustable rows and lookback.
๐น 4. Higher Timeframe Confluence (Optional)
Check if current S/R aligns with HTF levels:
5m, 15m, 30m, 1H, 4H, Daily
Modes:
โ
Show All + HTF Labels
โ
Filter Only HTF Confirmed Levels
HTF confirmations shown directly on zone labels.
Tolerance setting for price matching.
๐น 5. Breaker Blocks (Failed S/R Reversal Zones)
Identifies bullish/bearish breaker zones.
Highlights breaker blocks on chart.
Optional labels and zone coloring.
๐ฏ Visual Alerts & Signals
โ
Breakouts (Support & Resistance)
โ
Retests (Hold without breakout)
โ
Role Reversal (RโS and SโR)
โ
Potential Bullish / Bearish Breakers
โ
Diamonds for hold/retest structure
โ
Labels with volume + timeframe confirmations
Every signal also has a built-in alertcondition so you can automate notifications.
โ๏ธ Customizable Settings
๐ข Main
Lookback period
Volume filter length
Box width multiplier
๐จ Visual
Show or hide labels, diamonds, retest labels
Label size
๐ฆ Breaker Blocks
Enable/disable breaker blocks
Show zones & labels
Custom colors
๐ Volume Profile
Enable/disable
Rows, lookback length
Bull/Bear color
โณ Higher Timeframe Filtering
Turn HTF logic on/off
Select which timeframes to compare
Filter mode or label mode
Price matching tolerance (%)
โ
Why this indicator is unique
โ Combines price structure + volume + HTF confluence
โ Automatically adapts S/R strength using volume data
โ Shows role reversal and breaker logic
โ Smart visual alerts & automation support
โ Highly customizable for any strategy or timeframe
๐ก How to Use
Add the indicator to any chart or timeframe.
Look for high-volume S/R zones (darker colors = stronger).
Watch for:
Breakouts (trend continuation or reversal)
Retests (strong confirmations)
HTF confluence (higher probability)
Breaker blocks (failed level reversal)
Optionally enable alerts for automation or notifications.
******************************************************************
โ ๏ธ Dangers of Trading
1๏ธโฃ You can lose money very fast
Markets move quickly, and leverage makes losses even faster. Even experienced traders go through drawdowns.
2๏ธโฃ Emotional decisions ruin accounts
Fear (selling too early) and greed (holding too long or overtrading) cause most losses. Trading is more psychological than technical.
3๏ธโฃ Overconfidence after small wins
Many traders win at the beginning and believe they โmasteredโ the market, then take big risks and blow the account.
4๏ธโฃ No system = gambling
If you trade without clear rules and risk management, youโre not tradingโyouโre gambling.
5๏ธโฃ Market is not fair
Smart money, institutions, HFT algorithms, and stop-hunts exist. Retail traders are often the liquidity for bigger players.
6๏ธโฃ News/Unexpected events
Unpredictable events (CPI, FOMC, war, tweets, etc.) can instantly move the market against your position.
โ
Advice for Safer & Smarter Trading
โ
1. Protect your capital first
Your number one job is to survive.
Never risk more than 1โ2% per trade.
โ
2. Have a written trading plan
Define:
When to enter
When to exit
How much to risk
What conditions must be present
If your plan is not written, you donโt have a plan.
โ
3. Use Stop Loss always
No stop loss = account suicide.
Even professional traders are wrong sometimes.
โ
4. Focus on one strategy (mastery > trying everything)
Jumping from one strategy to another causes confusion. One good strategy with discipline beats five strategies with no consistency.
โ
5. Trade with the trend and higher timeframe direction
Trading against HTF structure is fighting the market.
โ
6. Control emotions like a machine
Biggest trader enemies:
Overtrading
Revenge trading
Fear of missing out (FOMO)
When emotions are strong โ stop trading.
โ
7. Be patient (best skill of a trader)
Sometimes the best trade is no trade.
Professional traders wait for high-probability setups.
โ
8. Backtest and demo before using real money
If it doesnโt make money in backtesting or demo, it wonโt magically work live.
โ
9. Accept losses (they are part of the game)
Even the best traders lose. The key is small losses, big wins.
โ
10. Keep learning forever
Market changes. What works today may not work tomorrow. Study price action, volume, psychology, risk management.
๐ง Final Truths:
โ
Trading is a business, not easy money
โ
Winning rate doesnโt matterโrisk/reward matters
โ
Consistency > luck
โ
Discipline > knowledge
โ
Survival > profit
Bar Statistics - DELTA/OI/TOTAL/BUY/SELL/LONGS/SHORTSBar Statistics - Advanced Volume & Open Interest Analysis
Overview
The Bar Statistics indicator is a comprehensive analytical tool designed to provide traders with detailed insights into market microstructure through advanced volume analysis, open interest tracking, and market flow detection. This indicator transforms complex market data into easily digestible visual information, displaying six key metrics in customizable colored boxes that update in real-time.
Unlike traditional volume indicators that only show basic volume data, this indicator combines multiple data sources to reveal the underlying forces driving price movement, including volume delta calculations from lower timeframes, open interest changes, and estimated market positioning.
What Makes This Indicator Unique
1. Multi-Timeframe Volume Delta Precision
The indicator utilizes lower timeframe data (default 1-second) to calculate highly accurate volume delta measurements, providing much more precise buy/sell pressure analysis than standard timeframe-based calculations. This approach captures intraday volume dynamics that are often missed by conventional indicators.
2. Real-Time Updates
Unlike many indicators that only update on bar completion, this tool provides live updates for the developing candle, allowing traders to see evolving market conditions as they happen.
3. Market Flow Analysis
The unique "L/S" (Long/Short) metric combines open interest changes with price/volume direction to estimate net market positioning, helping identify when participants are accumulating or distributing positions.
4. Adaptive Visual Intensity
The gradient color system automatically adjusts based on historical context, making it easy to identify when current values are significant relative to recent market activity.
5. Complete Customization
Every aspect of the display can be customized, from the order of metrics to individual color schemes, allowing traders to adapt the tool to their specific analysis needs.
6.All In One Solution
6 Metrics in one indicator no more using 5 different indicators.
Core Features Explained
DELTA (Volume Delta)
What it shows: Net difference between aggressive buy volume and aggressive sell volume
Calculation: Uses lower timeframe data to determine whether each trade was initiated by buyers or sellers
Interpretation:
Positive values indicate aggressive buying pressure
Negative values indicate aggressive selling pressure
Magnitude indicates the strength of directional pressure
OI ฮ (Open Interest Change)
What it shows: Change in open interest from the previous bar
Data source: Fetches open interest data using the "_OI" symbol suffix
Interpretation:
Positive values indicate new positions entering the market
Negative values indicate positions being closed
Combined with price direction, reveals market participant behavior
L/S (Net Long/Short Bias)
What it shows: Estimated net change in long vs short market positions
Calculation method: Combines open interest changes with price/volume direction using configurable logic
Scenarios analyzed:
New Longs: Rising OI + Rising Price/Volume = Long position accumulation
Liquidated Longs: Falling OI + Falling Price/Volume = Long position exits
New Shorts: Rising OI + Falling Price/Volume = Short position accumulation
Covered Shorts: Falling OI + Rising Price/Volume = Short position exits
Result: Net bias toward long (positive) or short (negative) market sentiment
TOTAL (Total Volume)
What it shows: Standard volume for the current bar
Purpose: Provides context for other metrics and baseline activity measurement
Enhanced display: Uses gradient intensity based on recent volume history
BUY (Estimated Buy Volume)
What it shows: Estimated aggressive buy volume
Calculation: (Total Volume + Delta) / 2
Use case: Helps quantify the actual buying pressure in monetary/contract terms
SELL (Estimated Sell Volume)
What it shows: Estimated aggressive sell volume
Calculation: (Total Volume - Delta) / 2
Use case: Helps quantify the actual selling pressure in monetary/contract terms
Configuration Options
Timeframe Settings
Custom Timeframe Toggle: Enable/disable custom lower timeframe selection
Timeframe Selection: Choose the precision level for volume delta calculations
Auto-Selection Logic: Automatically selects optimal timeframe based on chart timeframe
Net Positions Calculation
Direction Method: Choose between Price-based or Volume Delta-based direction determination
Value Method: Select between Open Interest Change or Volume for position size calculations
Display Customization
Row Order: Completely customize which metrics appear and in what order (6 positions available)
Color Schemes: Individual color selection for positive/negative values of each metric
Gradient Intensity: Configurable lookback period (10-200 bars) for relative intensity calculations
Visual Elements
Box Format: Clean, professional box display with clear labels
Color Coding: Intuitive color schemes with customizable transparency gradients
Real-time Updates: Live updating for developing candles with historical stability
How to Use This Indicator
For Day Traders
Volume Confirmation: Use DELTA to confirm breakout validity - strong directional moves should show corresponding volume delta
Entry Timing: Watch for volume delta divergences at key levels to time entries
Exit Signals: Monitor when aggressive volume shifts against your position
For Swing Traders
Market Flow: Focus on the L/S metric to identify when participants are accumulating or distributing
Open Interest Analysis: Use OI ฮ to confirm whether moves are backed by new money or position adjustments
Trend Validation: Combine multiple metrics to validate trend strength and sustainability
For Scalpers
Real-time Edge: Utilize the live updates to see developing imbalances before bar completion
Quick Decision Making: Focus on DELTA and BUY/SELL for immediate market pressure assessment
Volume Profile: Use TOTAL volume context for optimal entry/exit sizing
Setup Recommendations
Futures Markets: Enable OI tracking and use Volume Delta direction method
Crypto Markets: Focus on DELTA and volume metrics; OI may not be available
Stock Markets: Use Price direction method with volume value calculations
High-Frequency Analysis: Set lower timeframe to 1S for maximum precision
Technical Implementation
Data Accuracy
Utilizes TradingView's ta.requestVolumeDelta() function for precise buy/sell classification
Implements error checking for data availability
Handles missing data gracefully with fallback calculations
Performance Optimization
Efficient array management with configurable lookback periods
Smart box creation and deletion to prevent memory issues
Optimized real-time updates without historical data corruption
Compatibility
Works on all timeframes from seconds to daily
Compatible with futures, forex, crypto, and stock markets
Automatically adjusts calculation methods based on available data
Risk Disclaimers
This indicator is designed for educational and analytical purposes. It provides statistical analysis of market data but does not guarantee trading success. Users should:
Combine with other forms of analysis
Practice proper risk management
Understand that past performance doesn't predict future results
Be aware that volume delta and open interest data quality varies by market and data provider
Conclusion
The Bar Statistics indicator represents a significant advancement in retail trader access to professional-grade market analysis tools. By combining multiple data sources into a single, customizable display, it provides the depth of analysis needed for comprehensive market microstructure understanding while maintaining the simplicity required for effective decision-making.
52SIGNAL RECIPE Smart Money Detector : CME + Exchanges=================52SIGNAL RECIPE CME-Exchange Smart Money Detector=================
โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Key Features
โข Dual Market Confirmation: Simultaneously analyzes both CME Bitcoin futures and exchange futures charts to identify synchronized smart money activity
โข Smart Volume Analysis: Uses advanced algorithms to separate buying and selling volume based on candle structure and price action
โข Energy Wave Visualization: Displays smart money signals as intuitive energy waves with varying sizes reflecting signal strength
โข Strength Rating System: Quantifies signal strength on a 0-100% scale, with multiple visualization levels (10%+, 40%+, 60%+, 80%+)
โข Candlestick Pattern Integration: Incorporates bullish/bearish candle formations to enhance signal reliability
โข Volume Spike Detection: Identifies abnormal volume increases that often accompany smart money positioning
โข Trend Context Analysis: Evaluates signals in relation to current market trend for higher probability setups
โข Dynamic Strength Calculation: Uses a multi-factor model considering volume ratio, buying/selling imbalance, candle structure, and trend alignment
โข Transparent Signal Labeling: Displays precise strength percentage values with each signal for clear decision-making
โข Real-time Institutional Flow Monitor: Tracks the footprints of large players across both regulated (CME) and crypto exchange markets
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Understanding Signal Types
โ Buy Signal Energy Waves (Green)
โข Definition: Detected when significant buying pressure appears simultaneously on both CME and exchange futures, typically on bearish candles
โข Visual Appearance: Green circular waves below price bars, with size/opacity increasing with signal strength
โข Market Interpretation: Indicates institutional buying interest even as price is declining, often preceding bullish reversals
โข Signal Strength Factors:
โถ Higher buying volume relative to selling volume
โถ Above-average total volume
โถ Lower wicks on bearish candles
โถ Appearance at key support levels
โถ Coinciding with oversold conditions
โ Sell Signal Energy Waves (Red)
โข Definition: Detected when significant selling pressure appears simultaneously on both CME and exchange futures, typically on bullish candles
โข Visual Appearance: Red circular waves above price bars, with size/opacity increasing with signal strength
โข Market Interpretation: Indicates institutional selling interest even as price is rising, often preceding bearish reversals
โข Signal Strength Factors:
โถ Higher selling volume relative to buying volume
โถ Above-average total volume
โถ Upper wicks on bullish candles
โถ Appearance at key resistance levels
โถ Coinciding with overbought conditions
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Signal Strength Understanding
โ The Four Strength Levels
โข Level 1 (10-39%): Initial Detection
โถ Visual: Smallest energy wave
โถ Meaning: Early smart money positioning detected
โถ Usage: Early warning, prepare for possible setup
โข Level 2 (40-59%): Moderate Strength
โถ Visual: Medium-small energy wave
โถ Meaning: Clearer institutional positioning
โถ Usage: Begin position planning, watch for confirmation
โข Level 3 (60-79%): Strong Signal
โถ Visual: Medium-large energy wave
โถ Meaning: Significant smart money footprint
โถ Usage: High-probability setup forming, consider entry
โข Level 4 (80-100%): Exceptional Strength
โถ Visual: Largest energy wave
โถ Meaning: Powerful institutional movement confirmed
โถ Usage: Highest probability setup, strong conviction entry point
โ Understanding Signal Strength Calculation
โข Volume Component (0-50 points):
โถ Measures how current volume compares to recent average
โถ Maximum points when volume is 2x or higher than average
โข Buy/Sell Ratio Component (0-50 points):
โถ Measures imbalance between buying and selling pressure
โถ Maximum points when ratio exceeds predefined multiplier threshold
โข Advanced Weighting Factors:
โถ Candle Structure: Body size, wick length, and orientation
โถ Trend Alignment: Signal relationship to current trend
โถ Volume Spike: Abnormal volume increase detection
โถ Cross-Market Confirmation: Strength of signal alignment between CME and exchange
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Practical Trading Applications
โ Reversal Trading Strategy
โข Buy Signal Application:
โถ Setup: Strong buy energy wave (60%+) on a bearish candle
โถ Entry: After confirmation candle following the signal
โถ Stop Loss: Below recent low or 1 ATR below entry
โถ Take Profit: Previous resistance or 1:2 risk-reward minimum
โถ Enhancers: Signal occurring at support zone, oversold conditions, or trend line tests
โข Sell Signal Application:
โถ Setup: Strong sell energy wave (60%+) on a bullish candle
โถ Entry: After confirmation candle following the signal
โถ Stop Loss: Above recent high or 1 ATR above entry
โถ Take Profit: Previous support or 1:2 risk-reward minimum
โถ Enhancers: Signal occurring at resistance zone, overbought conditions, or trend line tests
โ Trend Continuation Strategy
โข During Uptrends:
โถ Focus on buy signals that appear during pullbacks
โถ Higher probability when signals occur at key moving averages or support levels
โถ Enter on strength when price shows signs of resuming the uptrend
โข During Downtrends:
โถ Focus on sell signals that appear during relief rallies
โถ Higher probability when signals occur at key moving averages or resistance levels
โถ Enter on strength when price shows signs of resuming the downtrend
โ Multiple Timeframe Approach
โข Signal Confirmation Across Timeframes:
โถ Major signals on higher timeframes (4H, daily) provide strategic direction
โถ Signals on lower timeframes (15m, 1H) offer tactical entry points
โถ Highest probability setups occur when signals align across multiple timeframes
โข Signal Clustering:
โถ Multiple signals in the same price area significantly increase probability
โถ Look for areas where both buy and sell signals have appeared, indicating battleground zones
โถ The most recent signal direction often wins these battles
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Technical Foundation
โ Why Cross-Market Confirmation Matters
โข Institutional Participation:
โถ CME Bitcoin futures are dominated by regulated institutional investors
โถ Crypto exchange futures include both retail and institutional players
โถ When both markets show the same smart money pattern, the signal reliability increases dramatically
โข Market Inefficiency Exploitation:
โถ Large players often position across multiple venues to minimize market impact
โถ This coordinated activity creates detectable footprints when analyzed correctly
โถ Cross-market confirmation helps filter out market noise and isolate true smart money movements
โ Smart Volume Calculation Methodology
โข Price-Volume Relationship Analysis:
โถ Uses candle structure to estimate buying vs. selling volume
โถ Buying volume = Total volume ร (Close - Low) / (High - Low)
โถ Selling volume = Total volume ร (High - Close) / (High - Low)
โข Signal Triggering Logic:
โถ Buy signal: When buying volume exceeds selling volume by multiplier factor
โถ Sell signal: When selling volume exceeds buying volume by multiplier factor
โถ Both conditions must be met simultaneously on CME and exchange futures
โข Advanced Pattern Recognition:
โถ Evaluates candle body-to-range ratio for signal quality
โถ Analyzes wick length and position for additional confirmation
โถ Considers recent highs/lows to detect potential turning points
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Indicator Settings Guide
โ Main Settings
โข CME Bitcoin Futures Symbol:
โถ Default: CME:BTC1!
โถ Purpose: Sets the CME futures contract to analyze alongside current chart
โข Buy/Sell Volume Multiplier:
โถ Default: 3.0
โถ Range: 1.0-10.0
โถ Purpose: Determines how much buying volume must exceed selling volume (or vice versa) to trigger a signal
โถ Higher values = fewer but stronger signals
โถ Lower values = more signals but potentially lower reliability
โ Volume Filter Settings
โข Enable Volume Filter:
โถ Default: Enabled
โถ Purpose: When enabled, only considers candles with above-threshold volume
โข Volume Average Period:
โถ Default: 20 candles
โถ Range: 5-200 candles
โถ Purpose: Sets the lookback period for calculating average volume
โข Volume Threshold:
โถ Default: 150%
โถ Range: 10%-500%
โถ Purpose: Minimum volume percentage (of average) required for signal consideration
โถ Higher values focus on only the most significant volume spikes
โ Signal Visualization
โข Show Signal Strength Value:
โถ Default: Enabled
โถ Purpose: Displays the exact percentage strength value with each signal
โข Energy Wave Colors:
โถ Buy Energy Wave: Green (#00ff80)
โถ Sell Energy Wave: Red (#ff4040)
โถ Purpose: Customize the appearance of energy waves for visual preference
โ Advanced Settings
โข Use Advanced Strength Calculation:
โถ Default: Enabled
โถ Purpose: When enabled, uses the full multi-factor model for signal strength
โถ When disabled, uses only basic volume and ratio factors
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Synergy with Other Indicators
โข Support/Resistance Levels:
โถ Smart money signals occurring at key support/resistance significantly increase reliability
โถ Particularly powerful when signals appear at tested price levels
โข Moving Averages:
โถ Signals near key moving averages (50MA, 200MA) often indicate institutional interest
โถ Moving average crosses combined with smart money signals create high-probability setups
โข RSI/Momentum Indicators:
โถ Buy signals in oversold conditions increase probability of successful reversal
โถ Sell signals in overbought conditions increase probability of successful reversal
โข Volume Profile:
โถ Signals occurring at high volume nodes often indicate significant turning points
โถ Low volume nodes between high volume areas can act as acceleration zones after signal triggers
โข Market Structure:
โถ Smart money signals that break key market structure levels (higher highs/lows or lower highs/lows) are particularly significant
โถ Can signal the early stages of trend changes when aligned with structure breaks
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป 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==================
โ ๊ฐ์
52SIGNAL RECIPE CME-Exchange Smart Money Detector๋ CME์ ์ํธํํ ๊ฑฐ๋์์ ์ ๋ฌผ ์์ฅ์ ๋์์ ๋ถ์ํ์ฌ ๊ธฐ๊ด ๋ฐ ์ค๋งํธ ๋จธ๋์ ์์ง์์ ํฌ์ฐฉํ๋ ๊ณ ๊ธ ๊ธฐ์ ์ ์งํ์
๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ ์ฃผ์ ๊ฐ๊ฒฉ ์์ง์์ ์ ํํ๋ ์กฐ์ง์ ์ธ ๋งค์ ๋ฐ ๋งค๋ ํจํด์ ๊ฐ์งํ์ฌ ํธ๋ ์ด๋๋ค์๊ฒ ์์ฅ ๋ฐฉํฅ ์์ธก์ ์ ๋ฆฌํ ์ ๋ณด๋ฅผ ์ ๊ณตํฉ๋๋ค.
์ด ์งํ์ ๋
๋ณด์ ์ธ ํน์ง์ ๊ต์ฐจ ์์ฅ ๊ฒ์ฆ ์ ๊ทผ๋ฒ์ ์์ต๋๋ค. CME ๋นํธ์ฝ์ธ ์ ๋ฌผ(๊ธฐ๊ด ํฌ์์ ์ค์ฌ)๊ณผ ์ํธํํ ๊ฑฐ๋์ ์ ๋ฌผ(๊ด๋ฒ์ํ ์์ฅ ์ฐธ์ฌ์) ๋ชจ๋์์ ํ์ธ์ ์๊ตฌํจ์ผ๋ก์จ, ํ์ ์ ํธ๋ฅผ ํฌ๊ฒ ์ค์ด๊ณ ์ผ๋ฐ์ ์ผ๋ก ์์ฅ ์์ง์์ ์ ๋ํ๋ ๊ณ ํ๋ฅ ์ค๋งํธ ๋จธ๋ ํ์ ์ ์๋ณํฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ๋์ผ ๋ง์ผ ํ์ธ: CME ๋นํธ์ฝ์ธ ์ ๋ฌผ๊ณผ ๊ฑฐ๋์ ์ ๋ฌผ ์ฐจํธ๋ฅผ ๋์์ ๋ถ์ํ์ฌ ๋๊ธฐํ๋ ์ค๋งํธ ๋จธ๋ ํ๋ ์๋ณ
โข ์ค๋งํธ ๋ณผ๋ฅจ ๋ถ์: ์บ๋ค ๊ตฌ์กฐ์ ๊ฐ๊ฒฉ ํ๋์ ๊ธฐ๋ฐ์ผ๋ก ๋งค์ ๋ฐ ๋งค๋ ๋ณผ๋ฅจ์ ๋ถ๋ฆฌํ๋ ๊ณ ๊ธ ์๊ณ ๋ฆฌ์ฆ ์ฌ์ฉ
โข ์๋์ง ํ๋ ์๊ฐํ: ์ค๋งํธ ๋จธ๋ ์ ํธ๋ฅผ ์ ํธ ๊ฐ๋๋ฅผ ๋ฐ์ํ๋ ๋ค์ํ ํฌ๊ธฐ์ ์ง๊ด์ ์ธ ์๋์ง ํ๋์ผ๋ก ํ์
โข ๊ฐ๋ ํ๊ฐ ์์คํ
: ์ ํธ ๊ฐ๋๋ฅผ 0-100% ์ฒ๋๋ก ์์นํํ๊ณ ์ฌ๋ฌ ์๊ฐํ ๋ ๋ฒจ(10%+, 40%+, 60%+, 80%+) ์ ๊ณต
โข ์บ๋ค์คํฑ ํจํด ํตํฉ: ์ ํธ ์ ๋ขฐ์ฑ์ ๋์ด๊ธฐ ์ํด ์์น/ํ๋ฝ ์บ๋ค ํ์ฑ์ ๋ถ์์ ํตํฉ
โข ๋ณผ๋ฅจ ์คํ์ดํฌ ๊ฐ์ง: ์ค๋งํธ ๋จธ๋ ํฌ์ง์
๋์ ๋๋ฐํ๋ ๋น์ ์์ ์ธ ๋ณผ๋ฅจ ์ฆ๊ฐ ์๋ณ
โข ์ถ์ธ ๋งฅ๋ฝ ๋ถ์: ํ์ฌ ์์ฅ ์ถ์ธ์ ๊ด๋ จํ์ฌ ์ ํธ๋ฅผ ํ๊ฐํ์ฌ ๋์ ํ๋ฅ ์ ์ค์ ์ ๊ณต
โข ๋์ ๊ฐ๋ ๊ณ์ฐ: ๋ณผ๋ฅจ ๋น์จ, ๋งค์/๋งค๋ ๋ถ๊ท ํ, ์บ๋ค ๊ตฌ์กฐ ๋ฐ ์ถ์ธ ์ผ์น๋๋ฅผ ๊ณ ๋ คํ๋ ๋ค์ค ์์ ๋ชจ๋ธ ์ฌ์ฉ
โข ํฌ๋ช
ํ ์ ํธ ๋ผ๋ฒจ๋ง: ๋ช
ํํ ์์ฌ ๊ฒฐ์ ์ ์ํด ๊ฐ ์ ํธ์ ํจ๊ป ์ ํํ ๊ฐ๋ ๋ฐฑ๋ถ์จ ๊ฐ ํ์
โข ์ค์๊ฐ ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ชจ๋ํฐ: ๊ท์ ๋(CME) ์์ฅ๊ณผ ์ํธํํ ๊ฑฐ๋์ ์์ฅ ๋ชจ๋์์ ๋ํ ํ๋ ์ด์ด์ ํ์ ์ถ์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ์ ํ ์ดํดํ๊ธฐ
โ ๋งค์ ์ ํธ ์๋์ง ํ๋ (๋
น์)
โข ์ ์: ์ผ๋ฐ์ ์ผ๋ก ํ๋ฝ ์บ๋ค์์ CME์ ๊ฑฐ๋์ ์ ๋ฌผ ๋ชจ๋์์ ๋์์ ์๋นํ ๋งค์ ์๋ ฅ์ด ๊ฐ์ง๋ ๋ ๋ฐ์
โข ์๊ฐ์ ๋ชจ์ต: ๊ฐ๊ฒฉ ๋ฐ ์๋์ ๋
น์ ์ํ ํ๋์ผ๋ก ํ์๋๋ฉฐ, ์ ํธ ๊ฐ๋์ ๋ฐ๋ผ ํฌ๊ธฐ/๋ถํฌ๋ช
๋ ์ฆ๊ฐ
โข ์์ฅ ํด์: ๊ฐ๊ฒฉ์ด ํ๋ฝํ๋ ๋์์๋ ๊ธฐ๊ด์ ๋งค์ ๊ด์ฌ์ด ์์์ ๋ํ๋ด๋ฉฐ, ์ข
์ข
์์น ๋ฐ์ ์ ์ ํ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ๋งค๋ ๋ณผ๋ฅจ ๋๋น ๋์ ๋งค์ ๋ณผ๋ฅจ
โถ ํ๊ท ์ด์์ ์ด ๊ฑฐ๋๋
โถ ํ๋ฝ ์บ๋ค์ ์๋ ๊ผฌ๋ฆฌ
โถ ์ฃผ์ ์ง์ง ์์ค์์์ ์ถํ
โถ ๊ณผ๋งค๋ ์กฐ๊ฑด๊ณผ ์ผ์น
โ ๋งค๋ ์ ํธ ์๋์ง ํ๋ (์ ์)
โข ์ ์: ์ผ๋ฐ์ ์ผ๋ก ์์น ์บ๋ค์์ CME์ ๊ฑฐ๋์ ์ ๋ฌผ ๋ชจ๋์์ ๋์์ ์๋นํ ๋งค๋ ์๋ ฅ์ด ๊ฐ์ง๋ ๋ ๋ฐ์
โข ์๊ฐ์ ๋ชจ์ต: ๊ฐ๊ฒฉ ๋ฐ ์์ ์ ์ ์ํ ํ๋์ผ๋ก ํ์๋๋ฉฐ, ์ ํธ ๊ฐ๋์ ๋ฐ๋ผ ํฌ๊ธฐ/๋ถํฌ๋ช
๋ ์ฆ๊ฐ
โข ์์ฅ ํด์: ๊ฐ๊ฒฉ์ด ์์นํ๋ ๋์์๋ ๊ธฐ๊ด์ ๋งค๋ ๊ด์ฌ์ด ์์์ ๋ํ๋ด๋ฉฐ, ์ข
์ข
ํ๋ฝ ๋ฐ์ ์ ์ ํ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ๋งค์ ๋ณผ๋ฅจ ๋๋น ๋์ ๋งค๋ ๋ณผ๋ฅจ
โถ ํ๊ท ์ด์์ ์ด ๊ฑฐ๋๋
โถ ์์น ์บ๋ค์ ์ ๊ผฌ๋ฆฌ
โถ ์ฃผ์ ์ ํญ ์์ค์์์ ์ถํ
โถ ๊ณผ๋งค์ ์กฐ๊ฑด๊ณผ ์ผ์น
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ๊ฐ๋ ์ดํดํ๊ธฐ
โ ๋ค ๊ฐ์ง ๊ฐ๋ ๋ ๋ฒจ
โข ๋ ๋ฒจ 1 (10-39%): ์ด๊ธฐ ๊ฐ์ง
โถ ์๊ฐ์ : ๊ฐ์ฅ ์์ ์๋์ง ํ๋
โถ ์๋ฏธ: ์ด๊ธฐ ์ค๋งํธ ๋จธ๋ ํฌ์ง์
๋ ๊ฐ์ง
โถ ํ์ฉ: ์ด๊ธฐ ๊ฒฝ๊ณ , ๊ฐ๋ฅํ ์ค์ ์ค๋น
โข ๋ ๋ฒจ 2 (40-59%): ์ค๊ฐ ๊ฐ๋
โถ ์๊ฐ์ : ์ค๊ฐ-์์ ์๋์ง ํ๋
โถ ์๋ฏธ: ๋ ๋ช
ํํ ๊ธฐ๊ด ํฌ์ง์
๋
โถ ํ์ฉ: ํฌ์ง์
๊ณํ ์์, ํ์ธ ๋๊ธฐ
โข ๋ ๋ฒจ 3 (60-79%): ๊ฐํ ์ ํธ
โถ ์๊ฐ์ : ์ค๊ฐ-ํฐ ์๋์ง ํ๋
โถ ์๋ฏธ: ์ค์ํ ์ค๋งํธ ๋จธ๋ ํ์
โถ ํ์ฉ: ๊ณ ํ๋ฅ ์ค์ ํ์ฑ, ์ง์
๊ณ ๋ ค
โข ๋ ๋ฒจ 4 (80-100%): ์์ธ์ ๊ฐ๋
โถ ์๊ฐ์ : ๊ฐ์ฅ ํฐ ์๋์ง ํ๋
โถ ์๋ฏธ: ๊ฐ๋ ฅํ ๊ธฐ๊ด ์์ง์ ํ์ธ
โถ ํ์ฉ: ์ต๊ณ ํ๋ฅ ์ค์ , ๊ฐํ ํ์ ์ ์ง์
์ง์
โ ์ ํธ ๊ฐ๋ ๊ณ์ฐ ์ดํดํ๊ธฐ
โข ๋ณผ๋ฅจ ๊ตฌ์ฑ ์์ (0-50 ํฌ์ธํธ):
โถ ํ์ฌ ๋ณผ๋ฅจ์ด ์ต๊ทผ ํ๊ท ๊ณผ ๋น๊ตํ์ฌ ์ผ๋ง๋ ๋์์ง ์ธก์
โถ ๋ณผ๋ฅจ์ด ํ๊ท ๋ณด๋ค 2๋ฐฐ ์ด์ ๋์ ๋ ์ต๋ ํฌ์ธํธ ๋ถ์ฌ
โข ๋งค์/๋งค๋ ๋น์จ ๊ตฌ์ฑ ์์ (0-50 ํฌ์ธํธ):
โถ ๋งค์์ ๋งค๋ ์๋ ฅ ๊ฐ์ ๋ถ๊ท ํ ์ธก์
โถ ๋น์จ์ด ๋ฏธ๋ฆฌ ์ ์๋ ๋ฐฐ์จ ์๊ณ๊ฐ์ ์ด๊ณผํ ๋ ์ต๋ ํฌ์ธํธ ๋ถ์ฌ
โข ๊ณ ๊ธ ๊ฐ์ค์น ์์:
โถ ์บ๋ค ๊ตฌ์กฐ: ๋ชธํต ํฌ๊ธฐ, ๊ผฌ๋ฆฌ ๊ธธ์ด ๋ฐ ๋ฐฉํฅ
โถ ์ถ์ธ ์ผ์น: ํ์ฌ ์ถ์ธ์์ ์ ํธ ๊ด๊ณ
โถ ๋ณผ๋ฅจ ์คํ์ดํฌ: ๋น์ ์์ ์ธ ๋ณผ๋ฅจ ์ฆ๊ฐ ๊ฐ์ง
โถ ๊ต์ฐจ ์์ฅ ํ์ธ: CME์ ๊ฑฐ๋์ ๊ฐ ์ ํธ ์ผ์น ๊ฐ๋
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ค์ ํธ๋ ์ด๋ฉ ์์ฉ
โ ๋ฐ์ ํธ๋ ์ด๋ฉ ์ ๋ต
โข ๋งค์ ์ ํธ ์์ฉ:
โถ ์ค์ : ํ๋ฝ ์บ๋ค์์ ๊ฐํ ๋งค์ ์๋์ง ํ๋(60%+)
โถ ์ง์
: ์ ํธ ์ดํ ํ์ธ ์บ๋ค ์ดํ
โถ ์์ : ์ต๊ทผ ์ ์ ์๋ ๋๋ ์ง์
์ ์๋ 1 ATR
โถ ์ด์ต์คํ: ์ด์ ์ ํญ ๋๋ ์ต์ 1:2 ๋ฆฌ์คํฌ-๋ฆฌ์๋
โถ ๊ฐํ ์์: ์ง์ง ๊ตฌ์ญ, ๊ณผ๋งค๋ ์กฐ๊ฑด ๋๋ ์ถ์ธ์ ํ
์คํธ์์ ๋ฐ์ํ๋ ์ ํธ
โข ๋งค๋ ์ ํธ ์์ฉ:
โถ ์ค์ : ์์น ์บ๋ค์์ ๊ฐํ ๋งค๋ ์๋์ง ํ๋(60%+)
โถ ์ง์
: ์ ํธ ์ดํ ํ์ธ ์บ๋ค ์ดํ
โถ ์์ : ์ต๊ทผ ๊ณ ์ ์ ๋๋ ์ง์
์ ์ 1 ATR
โถ ์ด์ต์คํ: ์ด์ ์ง์ง ๋๋ ์ต์ 1:2 ๋ฆฌ์คํฌ-๋ฆฌ์๋
โถ ๊ฐํ ์์: ์ ํญ ๊ตฌ์ญ, ๊ณผ๋งค์ ์กฐ๊ฑด ๋๋ ์ถ์ธ์ ํ
์คํธ์์ ๋ฐ์ํ๋ ์ ํธ
โ ์ถ์ธ ์ง์ ์ ๋ต
โข ์์น ์ถ์ธ ์ค:
โถ ์กฐ์ ์ค์ ๋ํ๋๋ ๋งค์ ์ ํธ์ ์ง์ค
โถ ์ฃผ์ ์ด๋ํ๊ท ์ ์ด๋ ์ง์ง ์์ค์์ ์ ํธ๊ฐ ๋ฐ์ํ ๋ ํ๋ฅ ์ด ๋์
โถ ๊ฐ๊ฒฉ์ด ์์น ์ถ์ธ๋ฅผ ์ฌ๊ฐํ ์งํ๋ฅผ ๋ณด์ผ ๋ ๊ฐ๋์ ๋ง์ถฐ ์ง์
โข ํ๋ฝ ์ถ์ธ ์ค:
โถ ์ผ์์ ๋ฐ๋ฑ ์ค์ ๋ํ๋๋ ๋งค๋ ์ ํธ์ ์ง์ค
โถ ์ฃผ์ ์ด๋ํ๊ท ์ ์ด๋ ์ ํญ ์์ค์์ ์ ํธ๊ฐ ๋ฐ์ํ ๋ ํ๋ฅ ์ด ๋์
โถ ๊ฐ๊ฒฉ์ด ํ๋ฝ ์ถ์ธ๋ฅผ ์ฌ๊ฐํ ์งํ๋ฅผ ๋ณด์ผ ๋ ๊ฐ๋์ ๋ง์ถฐ ์ง์
โ ๋ค์ค ์๊ฐํ๋ ์ ์ ๊ทผ๋ฒ
โข ๋ค์ํ ์๊ฐํ๋ ์์์์ ์ ํธ ํ์ธ:
โถ ์์ ์๊ฐํ๋ ์(4์๊ฐ, ์ผ๋ด)์ ์ฃผ์ ์ ํธ๋ ์ ๋ต์ ๋ฐฉํฅ ์ ๊ณต
โถ ํ์ ์๊ฐํ๋ ์(15๋ถ, 1์๊ฐ)์ ์ ํธ๋ ์ ์ ์ ์ง์
์ง์ ์ ๊ณต
โถ ์ฌ๋ฌ ์๊ฐํ๋ ์์์ ์ ํธ๊ฐ ์ผ์นํ ๋ ๊ฐ์ฅ ๋์ ํ๋ฅ ์ ์ค์ ๋ฐ์
โข ์ ํธ ํด๋ฌ์คํฐ๋ง:
โถ ๋์ผํ ๊ฐ๊ฒฉ ์์ญ์์ ์ฌ๋ฌ ์ ํธ๊ฐ ๋ฐ์ํ๋ฉด ํ๋ฅ ์ด ํฌ๊ฒ ์ฆ๊ฐ
โถ ๋งค์์ ๋งค๋ ์ ํธ๊ฐ ๋ชจ๋ ๋ํ๋ ์์ญ์ ์ฐพ์ ์ ํฌ ๊ตฌ์ญ ์๋ณ
โถ ์ด๋ฌํ ์ ํฌ์์๋ ๋๊ฐ ๊ฐ์ฅ ์ต๊ทผ์ ์ ํธ ๋ฐฉํฅ์ด ์ฐ์ธ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ธฐ์ ์ ๊ธฐ๋ฐ
โ ๊ต์ฐจ ์์ฅ ํ์ธ์ด ์ค์ํ ์ด์
โข ๊ธฐ๊ด ์ฐธ์ฌ:
โถ CME ๋นํธ์ฝ์ธ ์ ๋ฌผ์ ๊ท์ ๋ ๊ธฐ๊ด ํฌ์์๊ฐ ์ฃผ๋
โถ ์ํธํํ ๊ฑฐ๋์ ์ ๋ฌผ์ ์๋งค ๋ฐ ๊ธฐ๊ด ํ๋ ์ด์ด ๋ชจ๋ ํฌํจ
โถ ๋ ์์ฅ์ด ๋์ผํ ์ค๋งํธ ๋จธ๋ ํจํด์ ๋ณด์ผ ๋ ์ ํธ ์ ๋ขฐ์ฑ์ด ํฌ๊ฒ ์ฆ๊ฐ
โข ์์ฅ ๋นํจ์จ์ฑ ํ์ฉ:
โถ ๋ํ ํ๋ ์ด์ด๋ค์ ์์ฅ ์ํฅ์ ์ต์ํํ๊ธฐ ์ํด ์ฌ๋ฌ ๊ฑฐ๋์์ ๊ฑธ์ณ ํฌ์ง์
์ ์ทจํ๋ ๊ฒฝ์ฐ๊ฐ ๋ง์
โถ ์ด๋ฌํ ์กฐ์ง์ ์ธ ํ๋์ ์ฌ๋ฐ๋ฅด๊ฒ ๋ถ์ํ ๋ ๊ฐ์ง ๊ฐ๋ฅํ ํ์ ์ ๋จ๊น
โถ ๊ต์ฐจ ์์ฅ ํ์ธ์ ์์ฅ ๋
ธ์ด์ฆ๋ฅผ ํํฐ๋งํ๊ณ ์ง์ ํ ์ค๋งํธ ๋จธ๋ ์์ง์์ ๋ถ๋ฆฌํ๋ ๋ฐ ๋์
โ ์ค๋งํธ ๋ณผ๋ฅจ ๊ณ์ฐ ๋ฐฉ๋ฒ๋ก
โข ๊ฐ๊ฒฉ-๋ณผ๋ฅจ ๊ด๊ณ ๋ถ์:
โถ ์บ๋ค ๊ตฌ์กฐ๋ฅผ ์ฌ์ฉํ์ฌ ๋งค์ ๋ ๋งค๋ ๋ณผ๋ฅจ ์ถ์
โถ ๋งค์ ๋ณผ๋ฅจ = ์ด ๋ณผ๋ฅจ ร (์ข
๊ฐ - ์ ๊ฐ) / (๊ณ ๊ฐ - ์ ๊ฐ)
โถ ๋งค๋ ๋ณผ๋ฅจ = ์ด ๋ณผ๋ฅจ ร (๊ณ ๊ฐ - ์ข
๊ฐ) / (๊ณ ๊ฐ - ์ ๊ฐ)
โข ์ ํธ ํธ๋ฆฌ๊ฑฐ ๋ก์ง:
โถ ๋งค์ ์ ํธ: ๋งค์ ๋ณผ๋ฅจ์ด ๋งค๋ ๋ณผ๋ฅจ์ ๋ฐฐ์จ ์์๋งํผ ์ด๊ณผํ ๋
โถ ๋งค๋ ์ ํธ: ๋งค๋ ๋ณผ๋ฅจ์ด ๋งค์ ๋ณผ๋ฅจ์ ๋ฐฐ์จ ์์๋งํผ ์ด๊ณผํ ๋
โถ ๋ ์กฐ๊ฑด ๋ชจ๋ CME์ ๊ฑฐ๋์ ์ ๋ฌผ์์ ๋์์ ์ถฉ์กฑ๋์ด์ผ ํจ
โข ๊ณ ๊ธ ํจํด ์ธ์:
โถ ์ ํธ ํ์ง์ ์ํ ์บ๋ค ๋ชธํต-๋ฒ์ ๋น์จ ํ๊ฐ
โถ ์ถ๊ฐ ํ์ธ์ ์ํ ๊ผฌ๋ฆฌ ๊ธธ์ด ๋ฐ ์์น ๋ถ์
โถ ์ ์ฌ์ ์ ํ์ ์ ๊ฐ์งํ๊ธฐ ์ํด ์ต๊ทผ ๊ณ ์ /์ ์ ๊ณ ๋ ค
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์งํ ์ค์ ๊ฐ์ด๋
โ ์ฃผ์ ์ค์
โข CME ๋นํธ์ฝ์ธ ์ ๋ฌผ ์ฌ๋ณผ:
โถ ๊ธฐ๋ณธ๊ฐ: CME:BTC1!
โถ ๋ชฉ์ : ํ์ฌ ์ฐจํธ์ ํจ๊ป ๋ถ์ํ CME ์ ๋ฌผ ๊ณ์ฝ ์ค์
โข ๋งค์/๋งค๋ ๋ณผ๋ฅจ ๋ฐฐ์จ:
โถ ๊ธฐ๋ณธ๊ฐ: 3.0
โถ ๋ฒ์: 1.0-10.0
โถ ๋ชฉ์ : ์ ํธ๋ฅผ ํธ๋ฆฌ๊ฑฐํ๊ธฐ ์ํด ๋งค์ ๋ณผ๋ฅจ์ด ๋งค๋ ๋ณผ๋ฅจ์ ์ผ๋ง๋ ์ด๊ณผํด์ผ ํ๋์ง(๋๋ ๊ทธ ๋ฐ๋) ๊ฒฐ์
โถ ๋์ ๊ฐ = ์ ์ง๋ง ๋ ๊ฐํ ์ ํธ
โถ ๋ฎ์ ๊ฐ = ๋ ๋ง์ ์ ํธ์ง๋ง ์ ์ฌ์ ์ผ๋ก ๋ฎ์ ์ ๋ขฐ์ฑ
โ ๋ณผ๋ฅจ ํํฐ ์ค์
โข ๋ณผ๋ฅจ ํํฐ ํ์ฑํ:
โถ ๊ธฐ๋ณธ๊ฐ: ํ์ฑํ๋จ
โถ ๋ชฉ์ : ํ์ฑํ๋๋ฉด ์๊ณ๊ฐ ์ด์์ ๋ณผ๋ฅจ์ ๊ฐ์ง ์บ๋ค๋ง ๊ณ ๋ ค
โข ๋ณผ๋ฅจ ํ๊ท ๊ธฐ๊ฐ:
โถ ๊ธฐ๋ณธ๊ฐ: 20 ์บ๋ค
โถ ๋ฒ์: 5-200 ์บ๋ค
โถ ๋ชฉ์ : ํ๊ท ๋ณผ๋ฅจ ๊ณ์ฐ์ ์ํ ๋ฃฉ๋ฐฑ ๊ธฐ๊ฐ ์ค์
โข ๋ณผ๋ฅจ ์๊ณ๊ฐ:
โถ ๊ธฐ๋ณธ๊ฐ: 150%
โถ ๋ฒ์: 10%-500%
โถ ๋ชฉ์ : ์ ํธ ๊ณ ๋ ค์ ํ์ํ ์ต์ ๋ณผ๋ฅจ ๋ฐฑ๋ถ์จ(ํ๊ท ๋๋น)
โถ ๋์ ๊ฐ์ ๊ฐ์ฅ ์ค์ํ ๋ณผ๋ฅจ ์คํ์ดํฌ์๋ง ์ง์ค
โ ์ ํธ ์๊ฐํ
โข ์ ํธ ๊ฐ๋ ๊ฐ ํ์:
โถ ๊ธฐ๋ณธ๊ฐ: ํ์ฑํ๋จ
โถ ๋ชฉ์ : ๊ฐ ์ ํธ์ ํจ๊ป ์ ํํ ๋ฐฑ๋ถ์จ ๊ฐ๋ ๊ฐ ํ์
โข ์๋์ง ํ๋ ์์:
โถ ๋งค์ ์๋์ง ํ๋: ๋
น์(#00ff80)
โถ ๋งค๋ ์๋์ง ํ๋: ์ ์(#ff4040)
โถ ๋ชฉ์ : ์๊ฐ์ ์ ํธ๋์ ๋ง๊ฒ ์๋์ง ํ๋์ ๋ชจ์ ์ฌ์ฉ์ ์ ์
โ ๊ณ ๊ธ ์ค์
โข ๊ณ ๊ธ ๊ฐ๋ ๊ณ์ฐ ์ฌ์ฉ:
โถ ๊ธฐ๋ณธ๊ฐ: ํ์ฑํ๋จ
โถ ๋ชฉ์ : ํ์ฑํ๋๋ฉด ์ ํธ ๊ฐ๋์ ์ ์ฒด ๋ค์ค ์์ ๋ชจ๋ธ ์ฌ์ฉ
โถ ๋นํ์ฑํ๋๋ฉด ๊ธฐ๋ณธ ๋ณผ๋ฅจ ๋ฐ ๋น์จ ์์๋ง ์ฌ์ฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ์ง์ง/์ ํญ ๋ ๋ฒจ:
โถ ์ฃผ์ ์ง์ง/์ ํญ์์ ๋ฐ์ํ๋ ์ค๋งํธ ๋จธ๋ ์ ํธ๋ ์ ๋ขฐ์ฑ์ ํฌ๊ฒ ๋์
โถ ํนํ ํ
์คํธ๋ ๊ฐ๊ฒฉ ๋ ๋ฒจ์์ ์ ํธ๊ฐ ๋ํ๋ ๋ ๊ฐ๋ ฅํจ
โข ์ด๋ํ๊ท ์ :
โถ ์ฃผ์ ์ด๋ํ๊ท ์ (50MA, 200MA) ๊ทผ์ฒ์ ์ ํธ๋ ์ข
์ข
๊ธฐ๊ด์ ๊ด์ฌ์ ๋ํ๋
โถ ์ด๋ํ๊ท ์ ๊ต์ฐจ์ ์ค๋งํธ ๋จธ๋ ์ ํธ์ ์กฐํฉ์ ๊ณ ํ๋ฅ ์ค์ ์์ฑ
โข RSI/๋ชจ๋ฉํ
์งํ:
โถ ๊ณผ๋งค๋ ์กฐ๊ฑด์์์ ๋งค์ ์ ํธ๋ ์ฑ๊ณต์ ์ธ ๋ฐ์ ํ๋ฅ ์ฆ๊ฐ
โถ ๊ณผ๋งค์ ์กฐ๊ฑด์์์ ๋งค๋ ์ ํธ๋ ์ฑ๊ณต์ ์ธ ๋ฐ์ ํ๋ฅ ์ฆ๊ฐ
โข ๋ณผ๋ฅจ ํ๋กํ์ผ:
โถ ๋์ ๋ณผ๋ฅจ ๋
ธ๋์์ ๋ฐ์ํ๋ ์ ํธ๋ ์ข
์ข
์ค์ํ ์ ํ์ ์ ๋ํ๋
โถ ๋์ ๋ณผ๋ฅจ ์์ญ ์ฌ์ด์ ๋ฎ์ ๋ณผ๋ฅจ ๋
ธ๋๋ ์ ํธ ํธ๋ฆฌ๊ฑฐ ํ ๊ฐ์ ๊ตฌ๊ฐ์ผ๋ก ์์ฉํ ์ ์์
โข ์์ฅ ๊ตฌ์กฐ:
โถ ์ฃผ์ ์์ฅ ๊ตฌ์กฐ ๋ ๋ฒจ(๋์ ๊ณ ์ /์ ์ ๋๋ ๋ฎ์ ๊ณ ์ /์ ์ )์ ๊นจ๋ ์ค๋งํธ ๋จธ๋ ์ ํธ๋ ํนํ ์ค์
โถ ๊ตฌ์กฐ ๊นจ์ง๊ณผ ์ผ์นํ ๋ ์ถ์ธ ๋ณํ์ ์ด๊ธฐ ๋จ๊ณ๋ฅผ ์๋ฆด ์ ์์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
52SIGNAL RECIPE CME-Exchange Smart Money Detector๋ ๊ท์ ๋ ์ ๋ฌผ ์์ฅ๊ณผ ์ํธํํ ๊ฑฐ๋์ ์์ฅ ๋ชจ๋์์ ๊ธฐ๊ด์ ํฌ์ง์
๋์ ๋๋ฌ๋์ผ๋ก์จ ํธ๋ ์ด๋์๊ฒ ๊ฐ๋ ฅํ ์ฐ์๋ฅผ ์ ๊ณตํฉ๋๋ค. ๋ ๊ฑฐ๋์์์ ๋๊ธฐํ๋ ์ ํธ๋ฅผ ์๊ตฌํจ์ผ๋ก์จ, ์์ฅ ๋
ธ์ด์ฆ๋ฅผ ์ ๊ฑฐํ๊ณ ๊ฐ์ฅ ์ ๋ขฐํ ์ ์๋ ์ค๋งํธ ๋จธ๋ ํ์ ์ ์๋ณํฉ๋๋ค.
์ด ์งํ๋ฅผ ์ฐจ๋ณํํ๋ ๊ฒ์ ์ ๊ตํ ๊ต์ฐจ ์์ฅ ๊ฒ์ฆ ์์คํ
์
๋๋ค. ๋จ์ผ ์์ฅ์ ์ ํธ์ ์์กดํ๋ ๋์ , CME์ ๊ฑฐ๋์ ์ ๋ฌผ ๋ชจ๋๊ฐ ๋์์ ๋์ผํ ์ค๋งํธ ๋จธ๋ ํจํด์ ํ์ํ ๋๋ง ํธ๋ฆฌ๊ฑฐ๋ฉ๋๋ค. ์ด ์ ๊ทผ ๋ฐฉ์์ ํ์ ์ ํธ๋ฅผ ํฌ๊ฒ ์ค์ด๊ณ ์ง์ ์ผ๋ก ์ค์ํ ๊ธฐ๊ด ํ๋์ ๊ฐ์กฐํฉ๋๋ค.
์ง๊ด์ ์ธ ์๋์ง ํ๋ ์๊ฐํ ์์คํ
์ ํตํด ๋ค์ํ ๊ฐ๋์ ์ ํธ๋ฅผ ์ฝ๊ฒ ๋ฐ๊ฒฌํ ์ ์์ผ๋ฉฐ, ํฌ๋ช
ํ ๋ฐฑ๋ถ์จ ํ๊ฐ๋ฅผ ํตํด ๊ฐ ๊ธฐํ๋ฅผ ๊ฐ๊ด์ ์ผ๋ก ํ๊ฐํ ์ ์์ต๋๋ค. ์ด๋ฌํ ์ด์ค ํ์ธ๋ ์ค๋งํธ ๋จธ๋ ์์ง์์ ์ง์คํจ์ผ๋ก์จ, ํธ๋ ์ด๋๋ ๊ธฐ๊ด ์ฐธ๊ฐ์๋ค์ ๋ํญํ๊ธฐ๋ณด๋ค๋ ๊ทธ๋ค๊ณผ ํจ๊ป ํฌ์ง์
์ ์ทจํ ์ ์์ต๋๋ค.
๊ฐ์ฅ ๊ฐ๋ ฅํ ์ ํธ๋ ์ผ๋ฐ์ ์ผ๋ก ์ฃผ์ ์์ฅ ๋ณ๊ณก์ ์์, ์ข
์ข
์ค์ํ ๊ฐ๊ฒฉ ์์ง์ ์ด์ ์ ๋ํ๋๋ค๋ ์ ์ ๊ธฐ์ตํ์ธ์. ์ด ์งํ๋ฅผ ํธ๋ ์ด๋ฉ ์ ๊ทผ๋ฒ์ ํตํฉํจ์ผ๋ก์จ, ์์ฅ ๋ฐฉํฅ์ ๋ ๋์ ํ์ ์ผ๋ก ์์ธกํ๋ ๋ฐ ๋์์ด ๋๋ ๊ธฐ๊ด ํฌ์ง์
๋์ ๋ํ ํต์ฐฐ๋ ฅ์ ์ป์ ์ ์์ต๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, CME-Exchange Smart Money Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉ๋์ด์ผ ํ๋ฉฐ ํธ๋ ์ด๋ฉ ๊ฒฐ์ ์ ์ ์ ์ผ๋ก ์์กดํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ธฐ๊ด ํ๋ ํจํด์ด ๋ฏธ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ์ง๋ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ํธ๋ ์ด๋ฉ์ ์ฌ์ฉํ์ธ์.
Multy Dynamic POCThis script displays up to 4 independent Point of Control (POC) levels based on volume profile logic.
๐ 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.
๐ How it works:
For each active POC line, the script builds a simple volume distribution based on the candleโs 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 TradingViewโs time() function).
โ
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.
_______________________________________________________________________________
ะะฐะฝะฝัะน ะธะฝะดะธะบะฐัะพั ะพัะพะฑัะฐะถะฐะตั ะดะพ 4 ะฝะตะทะฐะฒะธัะธะผัั
ััะพะฒะฝะตะน Point of Control (POC), ัะฐัััะธัะฐะฝะฝัั
ะฟะพ ะพะฑััะผะฐะผ.
๐ ะะฐะถะดัะน POC ะผะพะถะฝะพ ะฝะฐัััะฐะธะฒะฐัั ะพัะดะตะปัะฝะพ:
ะะตัะธะพะดั: ะะตะฝั (D), ะะตะดะตะปั (W), ะะตััั (M) ะธะปะธ BARS (ัะบะพะปัะทััะตะต ะพะบะฝะพ ะฟะพ ะบะพะปะธัะตััะฒั ะฑะฐัะพะฒ).
ะะฒัะพะผะฐัะธัะตัะบะธะน ะฟะตัะตัััั ะฟัะธ ัะผะตะฝะต ะฟะตัะธะพะดะฐ (ะฝะฐะฟัะธะผะตั, ะฝะพะฒัะน ะดะตะฝั, ะฝะตะดะตะปั ะธะปะธ ะผะตััั).
ะะธะฝะธะธ POC ะฟัะธะฒัะทะฐะฝั ะบ ัะตะฝะต ะธ ะผะฐัััะฐะฑะธัััััั ะฒะผะตััะต ั ะณัะฐัะธะบะพะผ.
ะะฐัััะฐะธะฒะฐะตะผัะน ัะฒะตั ะธ ัะพะปัะธะฝะฐ ะปะธะฝะธะน.
๐ ะะฐะบ ัะฐะฑะพัะฐะตั:
ะะปั ะบะฐะถะดะพะน ะฐะบัะธะฒะฝะพะน ะปะธะฝะธะธ POC ัะพะทะดะฐัััั ะพะฑััะผะฝะพะต ัะฐัะฟัะตะดะตะปะตะฝะธะต: ะฑะตัะตััั ััะตะดะฝัั ัะตะฝะฐ ัะฒะตัะธ (hl2) ะธ ะพะฑัะตะผ.
ะะธะฐะฟะฐะทะพะฝ ัะตะฝ ะดะตะปะธััั ะฝะฐ 100 ััะพะฒะฝะตะน. ะขะพั, ะณะดะต ะฝะฐะบะพะฟะปะตะฝะพ ะฑะพะปััะต ะฒัะตะณะพ ะพะฑััะผะฐ, ะธ ะตััั POC.
ะ ัะตะถะธะผะต BARS ััะพะฒะตะฝั ะฟะตัะตััะธััะฒะฐะตััั ะบะฐะถะดัะต N ะฑะฐัะพะฒ. ะ ัะตะถะธะผะฐั
D/W/M โ ัััะพะณะพ ะฒ ะฝะฐัะฐะปะต ะฝะพะฒะพะณะพ ะฟะตัะธะพะดะฐ.
โ
ะะพะดั
ะพะดะธั ะดะปั:
ะขัะตะนะดะตัะพะฒ, ะธัะฟะพะปัะทัััะธั
ะพะฑััะผะฝัะน ะฐะฝะฐะปะธะท, ะฝะพ ะฝะต ะธะผะตััะธั
ะฟะปะฐัะฝะพะน ะฟะพะดะฟะธัะบะธ ะฝะฐ Volume Profile.
ะะพะธัะบะฐ ััะพะฒะฝะตะน ะธะฝัะตัะตัะฐ ะธ ะฟะพะดัะฒะตัะถะดะตะฝะธั ัะธะณะฝะฐะปะพะฒ.
ะ ะฐะทัะฐะฑะพัะบะธ ัััะฐัะตะณะธะน ั ะพะฟะพัะพะน ะฝะฐ ะพะฑััะผ.
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 (:
SignalGenius [Riz]SignalGeniusโข is an advanced multi-factor signal engine that merges traditional technical analysis with adaptive AI classification and smart market context filters. It evaluates more than 15 technical dimensions including trend, volume, volatility, momentum, and reversal behaviorโto produce high-quality Buy, Sell, and Exit signals optimized for any market condition. Unlike typical signal scripts, SignalGeniusโข is built as a modular decision framework with selectable presets for different trading styles (Trend-Following, Balanced, Reversal, Scalper, etc.). Every signal passes through multiple validation filters such as Smart Trail alignment, volume confirmation, AI confidence level, and momentum health before being displayed on chart.
What This Indicator Does
โฆ Generates Buy, Strong Buy, Sell, and Strong Sell signals based on composite scoring of 10+ technical models (RSI, MACD, Stochastic, ADX, EMA structure, pattern recognition, volume analysis).
โฆ Integrates a Smart Trail System that adapts dynamically to volatility and trend regime shifts.
โฆ Includes a multi-level AI Classification Engine (Levels 1 โ 4) to quantify signal quality and probability.
โฆ Provides automatic exit signals (x) controlled by preset logicโATR, RSI, trail breaks, or zone interactions.
โฆ Displays a real-time dashboard summarizing trend strength, volatility, volume sentiment, RSI, ADX, and squeeze conditions.
โฆ Offers five preset trading profiles plus full manual customization for experienced users.
How It Works
SignalGeniusโข processes market data through sequential layers:
1. Core Technical Layer โ computes key metrics (RSI, MACD, Stochastic, Momentum, ADX, Bollinger/Keltner squeeze, EMAs, VWAP).
2. Scoring Layer โ assigns bull/bear scores from overlapping confirmations such as crossovers, divergences, volume strength, and pattern setups.
3. AI Classification Layer โ converts raw score + context (trend, volume, momentum) into an AI Level (1 โ 4) showing signal reliability.
4. Filter Layer โ validates each signal using optional Smart Trail, trend strength, volume, AI confidence, reversal zones, and momentum filters.
5. Visualization Layer โ plots shaped markers, adaptive candle coloring, dynamic dashboards, and optional overlays (VWAP, pivots, volume profile).
The result is an intelligent system capable of shifting between confirmation-trend, contrarian-reversal, or hybrid behaviors automatically.
Inputs & Customization
๐ฏ Presets / Filters โ Quick setups for Trend-Following, Balanced, Advanced, Reversal, or Scalper styles.
๐ฒ Signal Generation โ Control sensitivity, cooldown, hybrid/contrarian modes, and signal history.
๐ฏ Exit Configuration โ Define profit/stop multiples (ATR-based) and choose exit style (RSI, trail, or zone).
๐ Smart Trail โ Toggle dynamic ATR trail, bands, and retest entries.
๐ฆ Reversal Zones โ Auto-detect support/resistance zones with strength counters.
๐ Trend Catcher โ EMA overlays with crossover highlights.
๐จ Candle Coloring โ Confirmation, Contrarian, Gradient, or Volume-based color logic.
๐ Dashboard โ Compact or detailed info panel with metrics, volatility, and mode display.
๐ Alerts โ Instant notifications for all key signal and condition events.
Visual Elements & Labels
Symbol Meaning Description
โฒ / โผ Normal Buy / Sell Standard entry signal
โฒ+ / โผ+ Strong Buy / Strong Sell Multi-factor confirmed signals
x Exit Profit or stop-based exit marker
โ
1-4 AI Classification Higher = stronger confluence (4 = highest)
๐ต / ๐ด Bands Smart Trail Dynamic support/resistance envelopes
How to Use
1. Select a Preset Mode matching your style (Trend, Balanced, Contrarian, Scalper).
2. Wait for aligned Buy/Sell + AI Level โฅ 3 signals near zones or trails.
3. Confirm with Dashboard metricsโtrend > 60 % = strong; volume = bullish or bearish sentiment.
4. Manage trades via built-in exit markers or your own risk parameters.
5. Combine multiple timeframes for higher accuracy (e.g., H1 bias + M15 execution).
Notes & Tips
โฆ Works on all markets and timeframes, optimized for 5 mโ1 H for intraday and 4 HโD for swing trading.
โฆ Use Autopilot Mode to auto-adjust sensitivity when volatility changes.
โฆ Enable Smart Trail and Reversal Zones for structured context trading.
โฆ โAI 4โ
Strongโ signals near trail or zone boundaries represent highest-quality opportunities.
โฆ For backtesting, keep โShow Signal Historyโ ON and set history length as needed.
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or a guaranteed trading system.
Always confirm signals with independent analysis and apply appropriate risk management before live trading.
52SIGNAL RECIPE Whale Smart Money Detector52SIGNAL RECIPE Whale Smart Money Detector
โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Key Features
โข Whale Activity Detection System: Analyzes volume surges and price impacts to capture large investor movements in real-time
โข Precise Volume Analysis: Distinguishes between regular volume and whale volume to track only meaningful market movements
โข Market Impact Measurement: Quantifies and analyzes the real impact of whale buying/selling on the market
โข Continuity Tracking: Follows market direction continuity after whale activity to confirm signal validity
โข Intuitive Visualization: Easily identifies whale activity points through color bar charts and clear labels
โข Trend Strength Display: Calculates and displays current market buy/sell strength in real-time in a table
โข Whale Signal Filtering: Applies multiple filtering systems to detect only genuine whale activity
โข Customizable Sensitivity Settings: Offers flexible parameters to adjust whale detection sensitivity according to market conditions
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Understanding Signal Types
โ Whale Buy Signal
โข Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price rises beyond normal volatility
โข Visual Representation: Translucent blue bar coloring with "๐Whale Buying Detected!" label on the candle where the buy signal occurs
โข Market Interpretation: Indicates that large funds are actively buying the coin, which is likely to lead to price increases
โ Whale Sell Signal
โข Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price falls beyond normal volatility
โข Visual Representation: Translucent pink bar coloring with "๐Whale Selling Detected!" label on the candle where the sell signal occurs
โข Market Interpretation: Indicates that large funds are actively selling the coin, which is likely to lead to price decreases
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Understanding Trend Analysis
โ Trend Analysis Method
โข Definition: Measures current trend and strength by analyzing the ratio of up/down candles over a set period
โข Visual Representation: Displayed in the table as "BUY" and "SELL" percentages, with the current trend clearly marked as "BULLISH", "BEARISH", or "NEUTRAL"
โข Calculation Method:
โถ Buy ratio = (Number of up candles) / (Total analysis period)
โถ Sell ratio = (Number of down candles) / (Total analysis period)
โถ Current trend determined by the dominant ratio as "BULLISH" or "BEARISH"
โ Trend Utilization Methods
โข Whale Signal Confirmation: Signal reliability increases when whale signals align with the current trend
โข Reversal Point Identification: Opposing whale signals during strong trends may indicate important reversal points
โข Market Strength Assessment: Understand the balance of power in the current market through buy/sell ratios
โข Signal Context Understanding: Consider trend information alongside whale signals for interpretation in a broader market context
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Indicator Settings Guide
โ Key Setting Parameters
โข Volume Impact Factor:
โถ Purpose: Sets the minimum multiplier for immediate volume impact to be considered whale activity
โถ Lower values: Generate more signals, detect smaller whales
โถ Higher values: Fewer signals, detect only very large whales
โถ Recommended range: 2.0-4.0 (adjust according to market conditions)
โข Sensitivity Factor:
โถ Purpose: Adjusts sensitivity of price movement relative to normal volatility
โถ Lower values: Increased sensitivity, more signals generated
โถ Higher values: Decreased sensitivity, only stronger price impacts detected
โถ Recommended range: 0.2-0.5 (set higher in highly volatile markets)
โข Trend Analysis Period:
โถ Purpose: Sets the number of candles to calculate buy/sell ratios
โถ Lower values: More responsive to recent trends
โถ Higher values: More stable analysis considering longer-term trends
โถ Recommended range: 30-70 (adjust according to trading style)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Synergy with Other Indicators
โข Key Support/Resistance Levels:
โถ Whale signals occurring near important technical levels have higher reliability
โถ Coincidence of weekly/monthly pivot points and whale signals confirms important price points
โข Moving Averages:
โถ Pay attention to whale signals near key moving averages (50MA, 200MA)
โถ Simultaneous occurrence of moving average breakouts and whale signals indicates important technical events
โข Volume Profile:
โถ Whale activity near high volume nodes confirms important price levels
โถ Whale signals at low volume nodes may indicate possibility of rapid price movements
โข Volatility Indicators:
โถ Whale signals after periods of low volatility may mark the beginning of new market movements
โถ Whale signals after Bollinger Band contraction may be precursors to large movements
โข Market Structure:
โถ Whale signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
โถ Coincidence of market structure changes and whale activity may signal important trend changes
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป 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
โ ๊ฐ์
52SIGNAL RECIPE Whale Smart Money Detector๋ ์ํธํํ ์์ฅ์์ ๊ณ ๋(๋ํ ํฌ์์)์ ์์ง์์ ์ค์๊ฐ์ผ๋ก ๊ฐ์งํ๋ ํ์ ์ ์ธ ์งํ์
๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ ์์ฅ์ ํฐ ์ํฅ์ ๋ฏธ์น๋ ๋๊ท๋ชจ ํธ๋ ์ด๋ฉ ํ๋์ ์ถ์ ํ์ฌ ์ค์ํ ์์ฅ ๋ฐฉํฅ ์ ํ์ด ์ผ์ด๋๊ธฐ ์ ์ ๊ท์คํ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค. ๋ชจ๋ ์ํธํํ ์ฐจํธ์ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ํธ๋ ์ด๋๋ค์ด ์ธ์ ์ด๋์๋ ๋ํ ์๊ธ์ ์์ง์์ ๋ฐ๋ผ๊ฐ ์ ์๊ฒ ํด์ค๋๋ค.
์ด ์งํ์ ๋
๋ณด์ ์ธ ๊ฐ์ ์ ๊ฑฐ๋๋ ๊ธ์ฆ, ๊ฐ๊ฒฉ ๋ณ๋์ฑ, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ๋ถ์ํ์ฌ ๊ณ ๋์ ์์ฅ ์ง์
๊ณผ ํด์ถ์ ์ ํํ ํฌ์ฐฉํ๋ค๋ ์ ์
๋๋ค. ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ๋์น๊ธฐ ์ฌ์ด ๋ํ ์๊ธ์ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์๊ฐ์ ์ผ๋ก ๋ช
ํํ๊ฒ ์ ๊ณตํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ๊ณ ๋ ํ๋ ๊ฐ์ง ์์คํ
: ๊ฑฐ๋๋ ๊ธ์ฆ๊ณผ ๊ฐ๊ฒฉ ์ํฉํธ๋ฅผ ๋ถ์ํ์ฌ ๋ํ ํฌ์์์ ์์ง์์ ์ค์๊ฐ์ผ๋ก ํฌ์ฐฉ
โข ์ ๋ฐํ ๊ฑฐ๋๋ ๋ถ์: ์ผ๋ฐ ๊ฑฐ๋๋๊ณผ ๊ณ ๋ ๊ฑฐ๋๋์ ๊ตฌ๋ถํ์ฌ ์๋ฏธ ์๋ ์์ฅ ์์ง์๋ง ์ถ์
โข ์์ฅ ์ํฅ๋ ฅ ์ธก์ : ๊ณ ๋์ ๋งค์/๋งค๋๊ฐ ์์ฅ์ ๋ฏธ์น๋ ์ค์ง์ ์ํฅ๋ ฅ์ ์์นํํ์ฌ ๋ถ์
โข ์ฐ์์ฑ ์ถ์ : ๊ณ ๋ ํ๋ ์ดํ ์์ฅ ๋ฐฉํฅ์ ์ง์์ฑ์ ์ถ์ ํ์ฌ ์ ํธ์ ์ ํจ์ฑ ํ์ธ
โข ์ง๊ด์ ์๊ฐํ: ์ปฌ๋ฌ ๋ฐ ์ฐจํธ์ ๋ช
ํํ ๋ผ๋ฒจ์ ํตํด ๊ณ ๋ ํ๋ ์ง์ ์ ์ฝ๊ฒ ์๋ณ
โข ์ถ์ธ ๊ฐ๋ ํ์: ํ์ฌ ์์ฅ์ ๋งค์/๋งค๋ ๊ฐ๋๋ฅผ ์ค์๊ฐ์ผ๋ก ๊ณ์ฐํ์ฌ ํ
์ด๋ธ์ ํ์
โข ๊ณ ๋ ์ ํธ ํํฐ๋ง: ์ง์ ํ ๊ณ ๋ ํ๋๋ง ๊ฐ์งํ๋๋ก ๋ค์ค ํํฐ๋ง ์์คํ
์ ์ฉ
โข ๋ง์ถคํ ๊ฐ๋ ์ค์ : ์์ฅ ์ํฉ์ ๋ฐ๋ผ ๊ณ ๋ ๊ฐ์ง ๊ฐ๋๋ฅผ ์กฐ์ ํ ์ ์๋ ์ ์ฐํ ํ๋ผ๋ฏธํฐ ์ ๊ณต
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ์ ํ ์ดํดํ๊ธฐ
โ ๊ณ ๋ ๋งค์ ์ ํธ
โข ์ ์: ๊ฑฐ๋๋์ด ํ๊ท ๋ณด๋ค ํฌ๊ฒ ์ฆ๊ฐํ๊ณ , ์ฆ๊ฐ์ ์ธ ๊ฑฐ๋๋ ์ถฉ๊ฒฉ์ด ํฌ๋ฉฐ, ๊ฐ๊ฒฉ์ด ์ ์ ๋ณ๋์ฑ์ ์ด๊ณผํ์ฌ ์์นํ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค์ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
ํ๋์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "๐Whale Buying Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๋ํ ์๊ธ์ด ์ ๊ทน์ ์ผ๋ก ์ฝ์ธ์ ๋งค์ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ์์น์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โ ๊ณ ๋ ๋งค๋ ์ ํธ
โข ์ ์: ๊ฑฐ๋๋์ด ํ๊ท ๋ณด๋ค ํฌ๊ฒ ์ฆ๊ฐํ๊ณ , ์ฆ๊ฐ์ ์ธ ๊ฑฐ๋๋ ์ถฉ๊ฒฉ์ด ํฌ๋ฉฐ, ๊ฐ๊ฒฉ์ด ์ ์ ๋ณ๋์ฑ์ ์ด๊ณผํ์ฌ ํ๋ฝํ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค๋ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
๋ถํ์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "๐Whale Selling Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๋ํ ์๊ธ์ด ์ ๊ทน์ ์ผ๋ก ์ฝ์ธ์ ๋งค๋ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ํ๋ฝ์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ถ์ธ ๋ถ์ ์ดํดํ๊ธฐ
โ ์ถ์ธ ๋ถ์ ๋ฐฉ์
โข ์ ์: ์ค์ ๋ ๊ธฐ๊ฐ ๋์์ ์์น/ํ๋ฝ ์บ๋ค ๋น์จ์ ๋ถ์ํ์ฌ ์์ฅ์ ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ธก์
โข ์๊ฐ์ ํํ: ํ
์ด๋ธ์ "BUY"์ "SELL" ๋น์จ์ด ๋ฐฑ๋ถ์จ๋ก ํ์๋๋ฉฐ, ํ์ฌ ์ถ์ธ๊ฐ "BULLISH", "BEARISH" ๋๋ "NEUTRAL"๋ก ๋ช
ํํ๊ฒ ํ์๋จ
โข ๊ณ์ฐ ๋ฐฉ์:
โถ ๋งค์ ๋น์จ = (์์น ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ๋งค๋ ๋น์จ = (ํ๋ฝ ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ์ฐ์ธํ ๋น์จ์ ๋ฐ๋ผ "BULLISH" ๋๋ "BEARISH" ์ถ์ธ ๊ฒฐ์
โ ์ถ์ธ ํ์ฉ ๋ฐฉ๋ฒ
โข ๊ณ ๋ ์ ํธ ํ์ธ: ๊ณ ๋ ์ ํธ๊ฐ ํ์ฌ ์ถ์ธ์ ์ผ์นํ ๋ ์ ํธ์ ์ ๋ขฐ๋๊ฐ ๋์์ง
โข ๋ฐ์ ํฌ์ธํธ ์๋ณ: ๊ฐํ ์ถ์ธ ์์์ ๋ฐ์ํ๋ ๋ฐ๋ ๋ฐฉํฅ์ ๊ณ ๋ ์ ํธ๋ ์ค์ํ ๋ฐ์ ํฌ์ธํธ์ผ ์ ์์
โข ์์ฅ ๊ฐ๋ ํ๊ฐ: ๋งค์/๋งค๋ ๋น์จ์ ํตํด ํ์ฌ ์์ฅ์ ์ธ๋ ฅ ๊ท ํ ํ์
โข ์ ํธ ๋ฐ์ ๋งฅ๋ฝ ์ดํด: ์ถ์ธ ์ ๋ณด์ ๊ณ ๋ ์ ํธ๋ฅผ ํจ๊ป ๊ณ ๋ คํ์ฌ ๋ ๋์ ์์ฅ ์ปจํ
์คํธ์์ ํด์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์งํ ์ค์ ๊ฐ์ด๋
โ ์ฃผ์ ์ค์ ๋งค๊ฐ๋ณ์
โข Volume Impact Factor (๊ฑฐ๋๋ ์ํฉํธ ์์):
โถ ๋ชฉ์ : ๊ณ ๋ ํ๋์ผ๋ก ๊ฐ์ฃผํ ์ฆ๊ฐ์ ์ธ ๊ฑฐ๋๋ ์ถฉ๊ฒฉ์ ์ต์ ๋ฐฐ์ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ ์์ฑ, ์์ ๊ณ ๋๋ ๊ฐ์ง
โถ ๋์ ๊ฐ: ๋ ์ ์ ์ ํธ, ๋งค์ฐ ํฐ ๊ณ ๋๋ง ๊ฐ์ง
โถ ๊ถ์ฅ ๋ฒ์: 2.0-4.0 (์์ฅ ์ํฉ์ ๋ฐ๋ผ ์กฐ์ )
โข Sensitivity Factor (๋ฏผ๊ฐ๋ ์์):
โถ ๋ชฉ์ : ์ ์ ๋ณ๋์ฑ ๋๋น ๊ฐ๊ฒฉ ๋ณ๋์ ๋ฏผ๊ฐ๋ ์กฐ์
โถ ๋ฎ์ ๊ฐ: ๋ฏผ๊ฐ๋ ์ฆ๊ฐ, ๋ ๋ง์ ์ ํธ ์์ฑ
โถ ๋์ ๊ฐ: ๋ฏผ๊ฐ๋ ๊ฐ์, ๋ ๊ฐํ ๊ฐ๊ฒฉ ์ถฉ๊ฒฉ๋ง ๊ฐ์ง
โถ ๊ถ์ฅ ๋ฒ์: 0.2-0.5 (๋ณ๋์ฑ์ด ๋์ ์์ฅ์์๋ ๋๊ฒ ์ค์ )
โข Trend Analysis Period (์ถ์ธ ๋ถ์ ๊ธฐ๊ฐ):
โถ ๋ชฉ์ : ๋งค์/๋งค๋ ๋น์จ์ ๊ณ์ฐํ ์บ๋ค ์ ์ค์
โถ ๋ฎ์ ๊ฐ: ์ต๊ทผ ์ถ์ธ์ ๋ ๋ฏผ๊ฐํ๊ฒ ๋ฐ์
โถ ๋์ ๊ฐ: ๋ ๊ธด ๊ธฐ๊ฐ์ ์ถ์ธ๋ฅผ ๊ณ ๋ คํ์ฌ ์์ ์ ์ธ ๋ถ์
โถ ๊ถ์ฅ ๋ฒ์: 30-70 (ํธ๋ ์ด๋ฉ ์คํ์ผ์ ๋ฐ๋ผ ์กฐ์ )
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ์ฃผ์ ์ง์ง/์ ํญ ๋ ๋ฒจ:
โถ ์ค์ํ ๊ธฐ์ ์ ๋ ๋ฒจ ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ๋ ๋์ ์ ๋ขฐ๋๋ฅผ ๊ฐ์ง
โถ ์ฃผ๊ฐ/์๊ฐ ํผ๋ด ํฌ์ธํธ์ ๊ณ ๋ ์ ํธ์ ์ผ์น๋ ์ค์ํ ๊ฐ๊ฒฉ ์ง์ ์ ํ์ธํด์ค
โข ์ด๋ํ๊ท ์ :
โถ ์ฃผ์ ์ด๋ํ๊ท ์ (50MA, 200MA) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ์ ์ฃผ๋ชฉ
โถ ์ด๋ํ๊ท ์ ๋ํ์ ๊ณ ๋ ์ ํธ๊ฐ ๋์ ๋ฐ์ ์ ์ค์ํ ๊ธฐ์ ์ ์ด๋ฒคํธ ํ์ธ
โข ๋ณผ๋ฅจ ํ๋กํ:
โถ ๋์ ๋ณผ๋ฅจ ๋
ธ๋ ๊ทผ์ฒ์์์ ๊ณ ๋ ํ๋์ ์ค์ํ ๊ฐ๊ฒฉ ๋ ๋ฒจ ํ์ธ
โถ ๋ฎ์ ๋ณผ๋ฅจ ๋
ธ๋์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ์ด๋ ๊ฐ๋ฅ์ฑ ์์
โข ๋ณ๋์ฑ ์งํ:
โถ ๋ฎ์ ๋ณ๋์ฑ ๊ตฌ๊ฐ ์ดํ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ์๋ก์ด ์์ฅ ์์ง์์ ์์์ผ ์ ์์
โถ ๋ณผ๋ฆฐ์ ๋ฐด๋ ์์ถ ํ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ํฐ ์์ง์์ ์ ์กฐ์ผ ์ ์์
โข ์์ฅ ๊ตฌ์กฐ:
โถ ์ฃผ์ ์์ฅ ๊ตฌ์กฐ(๋์ ๊ณ ์ /์ ์ , ๋ฎ์ ๊ณ ์ /์ ์ ) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ๊ตฌ์กฐ ๋ณํ ์์
โถ ์์ฅ ๊ตฌ์กฐ ๋ณํ์ ๊ณ ๋ ํ๋์ ์ผ์น๋ ์ค์ํ ํธ๋ ๋ ๋ณํ ์ ํธ์ผ ์ ์์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
52SIGNAL RECIPE Whale Smart Money Detector๋ ์ํธํํ ์์ฅ์์ ๋ํ ํฌ์์๋ค์ ๊ฑฐ๋ ํ๋์ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ํธ๋ ์ด๋๋ค์๊ฒ ๊ท์คํ ํต์ฐฐ๋ ฅ์ ์ ๊ณตํฉ๋๋ค. ๋ชจ๋ ์ํธํํ ์ฐจํธ์ ์ ์ฉ ๊ฐ๋ฅํ๊ธฐ ๋๋ฌธ์, ์ฌ๋ฌ๋ถ์ด ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ๋ฐ๋ก ํ์ฉํ ์ ์์ต๋๋ค.
์ด ์งํ์ ํต์ฌ ๊ฐ์น๋ ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ๋์น๊ธฐ ์ฌ์ด ๋ํ ์๊ธ์ ํ๋ฆ์ ์ง๊ด์ ์ผ๋ก ์๊ฐํํ์ฌ ์ ๊ณตํ๋ค๋ ์ ์
๋๋ค. ๊ฑฐ๋๋ ๊ธ์ฆ, ์ฆ๊ฐ์ ์ธ ๊ฐ๊ฒฉ ์ถฉ๊ฒฉ, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ์ง์์ฑ์ ์ข
ํฉ์ ์ผ๋ก ๋ถ์ํ์ฌ ๊ณ ๋์ ํ๋์ ์ ํํ ํฌ์ฐฉํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ์์ง์ด๋ ํฐ ์๋ค๊ณผ ํจ๊ปํ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
๋ช
ํํ ๋งค์/๋งค๋ ์ ํธ์ ์ค์๊ฐ ์ถ์ธ ๊ฐ๋ ์ธก์ ์ ํธ๋ ์ด๋๋ค์ด ์์ฅ ์ํฉ์ ํ๋์ ํ์
ํ๊ณ ์์ฅ์ ๋ฐฉํฅ์ฑ์ ์ดํดํ๋ ๋ฐ ๋์์ ์ค๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ฅผ ์ฌ๋ฌ๋ถ์ ํธ๋ ์ด๋ฉ ์์คํ
์ ํตํฉํจ์ผ๋ก์จ, ์์ฅ์ ์ค๋งํธ ๋จธ๋๊ฐ ์ด๋๋ก ํ๋ฌ๊ฐ๋์ง ํ์
ํ๊ณ ๋ ๋์ ํต์ฐฐ๋ ฅ์ ์ป์ผ์ธ์.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, 52SIGNAL RECIPE Whale Smart Money Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉํด์ผ ํ๋ฉฐ ํธ๋ ์ด๋ฉ ๊ฒฐ์ ์ ์ ์ ์ผ๋ก ์์กดํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ณ ๋ ํ๋ ํจํด์ด ๋ฏธ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ์ง๋ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ํธ๋ ์ด๋ฉ์ ํ์ฉํ์ธ์.
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Key Features
โข Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
โข Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
โข Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
โข Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
โข Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
โข Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
โข Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
โข Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
โข Customizable Settings: Allows customization of key parameters to match your trading style
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Understanding Signal Types
โ Institutional Buy Signal
โข Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
โข Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
โข Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
โข Signal Strength Factors:
โถ Consecutive price increase patterns
โถ Above-average volume
โถ Strong upward trend strength measurement
โถ Significant price movement
โ Institutional Sell Signal
โข Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
โข Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
โข Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
โข Signal Strength Factors:
โถ Consecutive price decrease patterns
โถ Above-average volume
โถ Strong downward trend strength measurement
โถ Significant price movement
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Understanding Trend Strength
โ Trend Strength Measurement Method
โข Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
โข Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
โข Strength Threshold: Strong/weak determination according to user-configurable threshold
โข Calculation Method:
โถ Upward trend strength = (Number of upward candles) / (Total analysis period)
โถ Downward trend strength = (Number of downward candles) / (Total analysis period)
โถ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
โ Utilizing Trend Strength
โข Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
โข Trend Confirmation: Evaluates the health and sustainability of the current market trend
โข Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
โข Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Practical Trading Applications
โ Institutional Buy Signal Strategy
โข Trend Reversal Scenario:
โถ Setup: Strong institutional buy signal during a downtrend
โถ Entry: Buy after signal confirmation in the next candle
โถ Stop Loss: Below the low of the signal candle
โถ Take Profit: When reaching previous major resistance or when trend strength weakens
โข Trend Continuation Scenario:
โถ Setup: Institutional buy signal after correction in an uptrend
โถ Entry: Buy after signal confirmation
โถ Stop Loss: Below recent major low
โถ Take Profit: Gradually take profits considering trend strength
โ Institutional Sell Signal Strategy
โข Trend Reversal Scenario:
โถ Setup: Strong institutional sell signal during an uptrend
โถ Entry: Sell after signal confirmation in the next candle
โถ Stop Loss: Above the high of the signal candle
โถ Take Profit: When reaching previous major support or when trend strength weakens
โข Trend Continuation Scenario:
โถ Setup: Institutional sell signal after bounce in a downtrend
โถ Entry: Sell after signal confirmation
โถ Stop Loss: Above recent major high
โถ Take Profit: Gradually take profits considering trend strength
โ Multi-Timeframe Approach
โข Higher Timeframe Direction Confirmation:
โถ Check institutional signals and trend strength on daily/4-hour charts
โถ Use for setting main trading direction
โข Lower Timeframe Entry Point Finding:
โถ Wait for lower timeframe signals that align with higher timeframe direction
โถ Use for capturing precise entry points
โข Cross-Timeframe Signal Alignment:
โถ Signal strength increases when signals occur in the same direction across multiple timeframes
โถ Capture high-probability trading opportunities
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Indicator Settings Guide
โ Main Setting Parameters
โข Institutional Continuity Period:
โถ Purpose: Sets the period to check institutional consecutive buying/selling activity
โถ Lower value: Generates more signals, increases responsiveness
โถ Higher value: Reduces number of signals, increases reliability
โข Trend Strength Threshold:
โถ Purpose: Sets the minimum threshold for determining strong trends
โถ Lower value: More signals, less filtering
โถ Higher value: Generates signals only in stronger trends, higher filtering
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Synergy with Other Indicators
โข Support/Resistance Levels:
โถ Institutional signals occurring at key support/resistance levels have higher probability
โถ Combination of key technical analysis levels and institutional activity provides powerful signals
โข Moving Averages:
โถ Pay attention to institutional signals near key moving averages (50MA, 200MA)
โถ Strong trend change possibility when moving average crossovers coincide with institutional signals
โข RSI/Momentum Indicators:
โถ Institutional buy signals in oversold conditions increase reversal probability
โถ Institutional sell signals in overbought conditions increase reversal probability
โข Volume Profile:
โถ Institutional signals at high volume nodes confirm important price levels
โถ Institutional activity in key trading areas greatly impacts price direction
โข Market Structure:
โถ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
โถ Coincidence of market structure changes and institutional activity indicates important trend turning points
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป 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
โ ๊ฐ์
Coinbase Institutional Smart Money Detector๋ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์(Coinbase Prime)์ ํตํ ๊ธฐ๊ด ํฌ์์๋ค์ ํ๋ฌผ ๋นํธ์ฝ์ธ ๋งค์/๋งค๋ ์์ง์์ ์ค์๊ฐ์ผ๋ก ๊ฐ์งํ๋ ํ์ ์ ์ธ ์งํ์
๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ ๋ํ ๊ธฐ๊ด๋ค์ ์๊ธ ํ๋ฆ์ ์ถ์ ํ์ฌ ์ค์ํ ์์ฅ ๋ฐฉํฅ ์ ํ์ด ์ผ์ด๋๊ธฐ ์ ์ ๊ท์คํ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค. ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ํธ๋ ์ด๋๋ค์ด ์ธ์ ์ด๋์๋ ๊ธฐ๊ด์ "์ค๋งํธ ๋จธ๋" ์์ง์์ ๋ฐ๋ผ๊ฐ ์ ์๊ฒ ํด์ค๋๋ค.
์ด ์งํ์ ๋
๋ณด์ ์ธ ๊ฐ์ ์ ์ฝ์ธ๋ฒ ์ด์ค ๋ฐ์ดํฐ๋ฅผ ์ค์๊ฐ์ผ๋ก ๋ถ์ํ์ฌ ๊ธฐ๊ด ํฌ์์๋ค์ ์ฐ์์ ์ธ ๋งค๋งค ํ๋, ๊ฑฐ๋๋ ํจํด, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ํ๊ฐํ๋ค๋ ์ ์
๋๋ค. ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ์ ๊ทผํ๊ธฐ ์ด๋ ค์ด ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์๊ฐ์ ์ผ๋ก ๋ช
ํํ๊ฒ ์ ๊ณตํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์ ๋ฐ์ดํฐ ๋ถ์: ๊ธฐ๊ด ์ ์ฉ ์๋น์ค์ธ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ๋ฐ์ดํฐ๋ฅผ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ๊ธฐ๊ด์ ์์ง์ ํฌ์ฐฉ
โข ์ค์๊ฐ ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ชจ๋ํฐ๋ง: ๋ํ ๊ธฐ๊ด๋ค์ ํ๋ฌผ ๋งค์/๋งค๋ ํ๋์ ์ฆ๊ฐ์ ์ผ๋ก ๊ฐ์งํ์ฌ ์์ฅ์ ์์ ํฌ์ง์
๋ ๊ฐ๋ฅ
โข ๋ชจ๋ ๊ฑฐ๋์ ํธํ์ฑ: ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ํ์ฉ ๊ฐ๋ฅ
โข ๊ธฐ๊ด ์ฐ์์ฑ ๋ถ์: ์ฐ์์ ์ธ ๋งค์/๋งค๋ ํจํด์ ์ถ์ ํ์ฌ ๊ธฐ๊ด์ ์ง์์ ์ธ ํ๋ ์๋ณ
โข ์ค๋งํธ ๋ณผ๋ฅจ ๋ถ์: ํ๊ท ๋๋น ๊ฑฐ๋๋ ์ฆ๊ฐ๋ฅผ ๊ฐ์งํ๊ณ ์ฃผ์ ๊ฑฐ๋ ์๊ฐ๋๋ฅผ ๋ถ์
โข ์ถ์ธ ๊ฐ๋ ์ธก์ : ์บ๋ค ํจํด์ ๋ถ์ํด ์์น/ํ๋ฝ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์์นํํ์ฌ ํ์
โข ์ง๊ด์ ์๊ฐํ: ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ๋ผ๋ฒจ์ ํตํด ๊ธฐ๊ด ํ๋ ์ง์ ์ ์ฐจํธ์ ๋ช
ํํ๊ฒ ํ์
โข ์ค์๊ฐ ๊ฐ๋ ํ์: ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ค์๊ฐ์ผ๋ก ๊ณ์ฐํ์ฌ ํ
์ด๋ธ์ ํ์
โข ์ฌ์ฉ์ ์ ์ ์ค์ : ์ฃผ์ ๋งค๊ฐ๋ณ์๋ฅผ ์กฐ์ ํ์ฌ ์์ ์ ํธ๋ ์ด๋ฉ ์คํ์ผ์ ๋ง๊ฒ ์ปค์คํฐ๋ง์ด์ง ๊ฐ๋ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ์ ํ ์ดํดํ๊ธฐ
โ ๊ธฐ๊ด ๋งค์ ์ ํธ
โข ์ ์: ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํด ๊ธฐ๊ด ํฌ์์๋ค์ด ์ฐ์์ ์ธ ๋งค์ ํ๋์ ๋ณด์ด๋ฉฐ, ์ด์ ํจ๊ป ๊ฑฐ๋๋ ์ฆ๊ฐ์ ๊ฐํ ์์น ์ถ์ธ๊ฐ ๋ํ๋ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค์ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
ํ๋์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "Institution Buying Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๊ธฐ๊ด ํฌ์์๋ค์ด ์ ๊ทน์ ์ผ๋ก ํ๋ฌผ ๋นํธ์ฝ์ธ์ ๋งค์ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ์์น์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ์์น ํจํด
โถ ํ๊ท ๋ณด๋ค ๋์ ๊ฑฐ๋๋
โถ ๊ฐํ ์์น ์ถ์ธ ๊ฐ๋ ์ธก์ ๊ฐ
โถ ์ ์๋ฏธํ ๊ฐ๊ฒฉ ๋ณ๋
โ ๊ธฐ๊ด ๋งค๋ ์ ํธ
โข ์ ์: ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํด ๊ธฐ๊ด ํฌ์์๋ค์ด ์ฐ์์ ์ธ ๋งค๋ ํ๋์ ๋ณด์ด๋ฉฐ, ์ด์ ํจ๊ป ๊ฑฐ๋๋ ์ฆ๊ฐ์ ๊ฐํ ํ๋ฝ ์ถ์ธ๊ฐ ๋ํ๋ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค๋ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
๋ถํ์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "Institution Selling Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๊ธฐ๊ด ํฌ์์๋ค์ด ์ ๊ทน์ ์ผ๋ก ํ๋ฌผ ๋นํธ์ฝ์ธ์ ๋งค๋ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ํ๋ฝ์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ํ๋ฝ ํจํด
โถ ํ๊ท ๋ณด๋ค ๋์ ๊ฑฐ๋๋
โถ ๊ฐํ ํ๋ฝ ์ถ์ธ ๊ฐ๋ ์ธก์ ๊ฐ
โถ ์ ์๋ฏธํ ๊ฐ๊ฒฉ ๋ณ๋
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ถ์ธ ๊ฐ๋ ์ดํดํ๊ธฐ
โ ์ถ์ธ ๊ฐ๋ ์ธก์ ๋ฐฉ์
โข ์ ์: ์ต๊ทผ ์ผ์ ๊ธฐ๊ฐ ๋์์ ์์น/ํ๋ฝ ์บ๋ค ๋น์จ์ ๋ถ์ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ธก์
โข ์๊ฐ์ ํํ: ํ
์ด๋ธ์ "BULL STRENGTH" ๋๋ "BEAR STRENGTH"๋ก ํ์๋๋ฉฐ, ๋ฐฑ๋ถ์จ ๊ฐ๊ณผ ํจ๊ป "STRONG" ๋๋ "WEAK" ์ํ ํ์
โข ๊ฐ๋ ์๊ณ๊ฐ: ์ฌ์ฉ์๊ฐ ์ค์ ๊ฐ๋ฅํ ์๊ณ๊ฐ์ ๋ฐ๋ผ ๊ฐํจ/์ฝํจ ํ์
โข ๊ณ์ฐ ๋ฐฉ์:
โถ ์์น ์ถ์ธ ๊ฐ๋ = (์์น ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ํ๋ฝ ์ถ์ธ ๊ฐ๋ = (ํ๋ฝ ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ๊ฐ๋๊ฐ ์๊ณ๊ฐ ์ด์์ผ ๋ "STRONG", ๋ฏธ๋ง์ผ ๋ "WEAK"๋ก ํ์
โ ์ถ์ธ ๊ฐ๋์ ํ์ฉ
โข ์ ํธ ํํฐ๋ง: ์ถ์ธ ๊ฐ๋๊ฐ ๊ฐํ ๋๋ง ์ ํธ๋ฅผ ์์ฑํ์ฌ ํ์ ์ ํธ ๊ฐ์
โข ์ถ์ธ ํ์ธ: ํ์ฌ ์์ฅ ์ถ์ธ์ ๊ฑด์ ์ฑ๊ณผ ์ง์ ๊ฐ๋ฅ์ฑ ํ๊ฐ
โข ์ง์
/ํด์ถ ๊ฒฐ์ : ๊ฐํ ์ถ์ธ์์ ์ง์
ํ๊ณ ์ฝํ ์ถ์ธ๋ก ์ ํ๋ ๋ ํด์ถ ๊ณ ๋ ค
โข ๋ฆฌ์คํฌ ๊ด๋ฆฌ: ์ฝํ ์ถ์ธ์์๋ ํฌ์ง์
ํฌ๊ธฐ๋ฅผ ์ค์ด๊ณ , ๊ฐํ ์ถ์ธ์์๋ ๋๋ฆฌ๋ ์ ๋ต ์๋ฆฝ ๊ฐ๋ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ค์ ํธ๋ ์ด๋ฉ ์์ฉ
โ ๊ธฐ๊ด ๋งค์ ์ ํธ ํ์ฉ ์ ๋ต
โข ์ถ์ธ ์ ํ ์๋๋ฆฌ์ค:
โถ ์ค์ : ํ๋ฝ ์ถ์ธ ์ค ๊ฐํ ๊ธฐ๊ด ๋งค์ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋ค์ ์บ๋ค์์ ๋งค์
โถ ์์ : ์ ํธ ์บ๋ค์ ์ ์ ์๋
โถ ์ด์ต์คํ: ์ด์ ์ฃผ์ ์ ํญ์ ๋๋ฌ ์ ๋๋ ์ถ์ธ ๊ฐ๋๊ฐ ์ฝํด์ง ๋
โข ์ถ์ธ ์ง์ ์๋๋ฆฌ์ค:
โถ ์ค์ : ์์น ์ถ์ธ ์ค ์กฐ์ ํ ๊ธฐ๊ด ๋งค์ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋งค์
โถ ์์ : ์ต๊ทผ ์ฃผ์ ์ ์ ์๋
โถ ์ด์ต์คํ: ์ถ์ธ ๊ฐ๋๋ฅผ ๊ณ ๋ คํ์ฌ ๋จ๊ณ์ ์ผ๋ก ์ด์ต์คํ
โ ๊ธฐ๊ด ๋งค๋ ์ ํธ ํ์ฉ ์ ๋ต
โข ์ถ์ธ ์ ํ ์๋๋ฆฌ์ค:
โถ ์ค์ : ์์น ์ถ์ธ ์ค ๊ฐํ ๊ธฐ๊ด ๋งค๋ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋ค์ ์บ๋ค์์ ๋งค๋
โถ ์์ : ์ ํธ ์บ๋ค์ ๊ณ ์ ์
โถ ์ด์ต์คํ: ์ด์ ์ฃผ์ ์ง์ง์ ๋๋ฌ ์ ๋๋ ์ถ์ธ ๊ฐ๋๊ฐ ์ฝํด์ง ๋
โข ์ถ์ธ ์ง์ ์๋๋ฆฌ์ค:
โถ ์ค์ : ํ๋ฝ ์ถ์ธ ์ค ๋ฐ๋ฑ ํ ๊ธฐ๊ด ๋งค๋ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋งค๋
โถ ์์ : ์ต๊ทผ ์ฃผ์ ๊ณ ์ ์
โถ ์ด์ต์คํ: ์ถ์ธ ๊ฐ๋๋ฅผ ๊ณ ๋ คํ์ฌ ๋จ๊ณ์ ์ผ๋ก ์ด์ต์คํ
โ ๋ค์ค ์๊ฐํ๋ ์ ์ ๊ทผ๋ฒ
โข ์์ ์๊ฐํ๋ ์ ๋ฐฉํฅ์ฑ ํ์ธ:
โถ ์ผ๋ด/4์๊ฐ๋ด์์ ๊ธฐ๊ด ์ ํธ ๋ฐ ์ถ์ธ ๊ฐ๋ ํ์ธ
โถ ์ฃผ ํธ๋ ์ด๋ฉ ๋ฐฉํฅ ์ค์ ์ ํ์ฉ
โข ํ์ ์๊ฐํ๋ ์ ์ง์
์ ์ฐพ๊ธฐ:
โถ ์์ ์๊ฐํ๋ ์ ๋ฐฉํฅ๊ณผ ์ผ์นํ๋ ํ์ ์๊ฐํ๋ ์ ์ ํธ ๋๊ธฐ
โถ ์ ๋ฐํ ์ง์
์ ํฌ์ฐฉ์ ํ์ฉ
โข ์๊ฐํ๋ ์ ๊ฐ ์ ํธ ์ผ์น ํ์ธ:
โถ ์ฌ๋ฌ ์๊ฐํ๋ ์์์ ๋์ผํ ๋ฐฉํฅ์ ์ ํธ๊ฐ ๋ฐ์ํ ๋ ์ ํธ ๊ฐ๋ ์ฆ๊ฐ
โถ ๋์ ํ๋ฅ ์ ํธ๋ ์ด๋ฉ ๊ธฐํ ํฌ์ฐฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์งํ ์ค์ ๊ฐ์ด๋
โ ์ฃผ์ ์ค์ ๋งค๊ฐ๋ณ์
โข Institutional Continuity Period (๊ธฐ๊ด ์ฐ์์ฑ ํ์ธ ๊ธฐ๊ฐ):
โถ ๋ชฉ์ : ๊ธฐ๊ด์ ์ฐ์์ ์ธ ๋งค์/๋งค๋ ํ๋์ ํ์ธํ ๊ธฐ๊ฐ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ ์์ฑ, ๋ฐ์์ฑ ์ฆ๊ฐ
โถ ๋์ ๊ฐ: ์ ํธ ์ ๊ฐ์, ์ ๋ขฐ์ฑ ์ฆ๊ฐ
โข Trend Strength Threshold (์ถ์ธ ๊ฐ๋ ์๊ณ๊ฐ):
โถ ๋ชฉ์ : ์ถ์ธ๊ฐ ๊ฐํ๋ค๊ณ ํ๋จํ ์ต์ ์๊ณ๊ฐ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ, ๋ฎ์ ํํฐ๋ง
โถ ๋์ ๊ฐ: ๋ ๊ฐํ ์ถ์ธ์์๋ง ์ ํธ ์์ฑ, ๋์ ํํฐ๋ง
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ์ง์ง/์ ํญ ๋ ๋ฒจ:
โถ ์ฃผ์ ์ง์ง/์ ํญ ๋ ๋ฒจ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ํ๋ฅ ์ด ๋ ๋์
โถ ๊ธฐ์ ์ ๋ถ์์ ํต์ฌ ๋ ๋ฒจ๊ณผ ๊ธฐ๊ด ํ๋์ ๊ฒฐํฉ์ ๊ฐ๋ ฅํ ์๊ทธ๋ ์ ๊ณต
โข ์ด๋ํ๊ท ์ :
โถ ์ฃผ์ ์ด๋ํ๊ท ์ (50MA, 200MA) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ ์ฃผ๋ชฉ
โถ ์ด๋ํ๊ท ์ ๋ํ์ ๊ธฐ๊ด ์ ํธ๊ฐ ์ผ์นํ ๋ ๊ฐํ ์ถ์ธ ๋ณํ ๊ฐ๋ฅ์ฑ
โข RSI/๋ชจ๋ฉํ
์งํ:
โถ ๊ณผ๋งค์/๊ณผ๋งค๋ ์ํ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ๋ฐ์ ๊ฐ๋ฅ์ฑ ๋์
โถ ๋ชจ๋ฉํ
๋ค์ด๋ฒ์ ์ค์ ๊ธฐ๊ด ์ ํธ์ ์ผ์น๋ ๊ฐ๋ ฅํ ๋ฐ์ ์ ํธ
โข ๋ณผ๋ฅจ ํ๋กํ์ผ:
โถ ๋์ ๋ณผ๋ฅจ ๋
ธ๋์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ์ค์ํ ๊ฐ๊ฒฉ ๋ ๋ฒจ ํ์ธ
โถ ์ฃผ์ ๊ฑฐ๋ ์์ญ์์์ ๊ธฐ๊ด ํ๋์ ๊ฐ๊ฒฉ ๋ฐฉํฅ์ ํฐ ์ํฅ ๋ฏธ์นจ
โข ์์ฅ ๊ตฌ์กฐ:
โถ ์ฃผ์ ์์ฅ ๊ตฌ์กฐ(๋์ ๊ณ ์ /์ ์ , ๋ฎ์ ๊ณ ์ /์ ์ ) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ๊ตฌ์กฐ ๋ณํ ์์
โถ ์์ฅ ๊ตฌ์กฐ ๋ณํ์ ๊ธฐ๊ด ํ๋์ ์ผ์น๋ ์ค์ํ ์ถ์ธ ์ ํ์ ํ์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
Coinbase Institutional Smart Money Detector๋ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํ ๊ธฐ๊ด ํฌ์์๋ค์ ํ๋ฌผ ๋นํธ์ฝ์ธ ๊ฑฐ๋ ํ๋์ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ํธ๋ ์ด๋๋ค์๊ฒ ๊ท์คํ ํต์ฐฐ๋ ฅ์ ์ ๊ณตํฉ๋๋ค. ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ๊ธฐ ๋๋ฌธ์, ์ฌ๋ฌ๋ถ์ด ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ๋ฐ๋ก ํ์ฉํ ์ ์์ต๋๋ค.
์ด ์งํ์ ํต์ฌ ๊ฐ์น๋ ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ์ ๊ทผํ๊ธฐ ์ด๋ ค์ด ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์ง๊ด์ ์ผ๋ก ์๊ฐํํ์ฌ ์ ๊ณตํ๋ค๋ ์ ์
๋๋ค. ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ์์ง์, ๊ฑฐ๋๋ ์ฆ๊ฐ, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ๋ถ์ํ์ฌ ๊ธฐ๊ด์ ํ๋์ ํฌ์ฐฉํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์ ๋ฐ์ดํฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ํ ๋ช
ํํ ๋งค์/๋งค๋ ์ ํธ์ ์ค์๊ฐ ์ถ์ธ ๊ฐ๋ ์ธก์ ์ ํธ๋ ์ด๋๋ค์ด ์์ฅ ์ํฉ์ ํ๋์ ํ์
ํ๊ณ ์ ์ํ๊ฒ ์ ๋ต์ ๊ฒฐ์ ์ ๋ด๋ฆด ์ ์๊ฒ ๋์์ค๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ฅผ ์ฌ๋ฌ๋ถ์ ํธ๋ ์ด๋ฉ ์ ๋ต์ ํตํฉํจ์ผ๋ก์จ, ์์ฅ์ ์ค๋งํธ ๋จธ๋๊ฐ ์ด๋๋ก ํ๋ฌ๊ฐ๋์ง ํ์
ํ๊ณ ๊ทธ์ ๋ฐ๋ผ ํฌ์ง์
๋ํ ์ ์๋ ๊ฒฝ์ ์ฐ์๋ฅผ ํ๋ณดํ์ธ์.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, Institutional Smart Money Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉํด์ผ ํ๋ฉฐ ํธ๋ ์ด๋ฉ ๊ฒฐ์ ์ ์ ์ ์ผ๋ก ์์กดํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ธฐ๊ด ํ๋ ํจํด์ด ๋ฏธ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ์ง๋ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ํธ๋ ์ด๋ฉ์ ํ์ฉํ์ธ์.
52SIGNAL RECIPE CME Gap Support & Resistance Detectorโโโ 52SIGNAL RECIPE CME Gap Support & Resistance Detector โโโ
โ Overview
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is an advanced technical indicator that automatically detects and visualizes all types of price gaps occurring in the CME Bitcoin futures market on trading charts. It captures not only gaps formed during weekend and holiday closures, but also those created during the daily 1-hour maintenance period on weekdays, and sudden price gaps resulting from economic indicator releases or news events.
The core value of this indicator lies beyond simply displaying gaps; it visualizes how these price discontinuities act as powerful support and resistance zones that influence future price movements. In real markets, these CME gaps have a high probability of either being "filled" or functioning as important reaction zones, providing traders with valuable entry and exit signals.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Key Features
โข Comprehensive Gap Detection: Detects gaps in all market conditions
- Weekend/holiday closure gaps
- Weekday 1-hour maintenance period gaps
- Gaps from economic indicators/news events causing rapid price changes
โข Intuitive Color Coding:
- Blue: When gaps act as support (price is above the gap)
- Red: When gaps act as resistance (price is below the gap)
- Gray: Filled gaps (price has completely passed through the gap area)
โข Real-time Role Switching: Automatically changes colors as price moves above/below gaps, visualizing supportโresistance role transitions
โข Status Tracking System: Automatically tracks whether gaps are "Filled" or "Unfilled"
โข Dynamic Boxes: Clearly marks gap areas with boxes and dynamically changes colors based on price movement
โข Precise Labeling: Accurately displays the price range of each gap to support trader decision-making
โข Smart Filtering: Improved algorithm that solves consecutive gap detection issues for complete gap tracking
โข Key Usage Points:
- Pay special attention when price approaches gap areas
- Color changes in gaps signal important market sentiment shifts
- Areas with multiple clustered gaps are particularly strong reaction zones
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ User Guide: Understanding Gap Roles Through Colors
โ Color System Interpretation
โข Blue Gaps (Support Role):
โถ Meaning: Current price is above the gap, making the gap act as support
โถ Trading Application: Consider buying opportunities when price approaches blue gap areas
โถ Psychological Meaning: Buying pressure likely to increase at this price level
โข Red Gaps (Resistance Role):
โถ Meaning: Current price is below the gap, making the gap act as resistance
โถ Trading Application: Consider selling opportunities when price approaches red gap areas
โถ Psychological Meaning: Selling pressure likely to increase at this price level
โข Gray Gaps (Filled Gaps):
โถ Meaning: Price has completely passed through the gap area, filling the gap
โถ Reference Value: Still valuable as reference for past important reaction zones
โถ Trading Application: Used to confirm trend strength and identify key psychological levels
โ Understanding Color Transitions
โข Blue โ Red Transition:
โถ Meaning: Price has fallen below the gap, changing its role from support to resistance
โถ Market Interpretation: Breakdown of previous support strengthens bearish signals
โถ Trading Application: Consider potential further decline; check gap bottom as resistance during bounces
โข Red โ Blue Transition:
โถ Meaning: Price has risen above the gap, changing its role from resistance to support
โถ Market Interpretation: Breakout above previous resistance strengthens bullish signals
โถ Trading Application: Consider potential further rise; check gap top as support during pullbacks
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Practical Application Guide
โ Basic Trading Scenarios
โข Blue Gap Support Strategy:
โถ Entry Point: When price approaches the top of a blue gap and forms a bounce candle
โถ Stop Loss: Below the gap bottom (if price completely breaks down through the gap)
โถ Take Profit: Previous swing high or next resistance level above
โถ Probability Enhancers: Gap aligned with major moving averages, oversold RSI, strong bounce candle pattern
โข Red Gap Resistance Strategy:
โถ Entry Point: When price approaches the bottom of a red gap and forms a rejection candle
โถ Stop Loss: Above the gap top (if price completely breaks up through the gap)
โถ Take Profit: Previous swing low or next support level below
โถ Probability Enhancers: Gap aligned with major moving averages, overbought RSI, strong rejection candle pattern
โ Advanced Pattern Applications
โข Multiple Gap Cluster Identification:
โถ Several gaps in close price proximity form extremely powerful support/resistance zones
โถ Same-color gap clusters: Very strong single-direction reaction zones
โถ Mixed-color gap clusters: High volatility zones with bidirectional reactions expected
โข Gap Sequence Analysis:
โถ Consecutive same-direction gaps: Strong trend confirmation signal
โถ Increasing gap size pattern: Trend acceleration signal
โถ Decreasing gap size pattern: Trend weakening signal
โข News/Indicator Release Gap Utilization:
โถ Gaps formed immediately after economic indicators: Measure market shock intensity
โถ Gap color change observation: Track market reinterpretation of news
โถ Gap filling speed analysis: Evaluate news impact duration
โข Key Attention Points:
โถ Pay special attention to the chart whenever price approaches gap areas
โถ Gap color changes signal important market sentiment shifts
โถ Areas with multiple concentrated gaps are likely to show strong price reactions
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Technical Foundation
โ CME Gap Formation Principles
โข Key Gap Formation Scenarios:
โถ Weekend Closures (Friday close โ Monday open): Most common CME gap formation point
โถ Holiday Closures: Gaps occurring due to CME closures on US holidays
โถ Weekday 1-hour Maintenance: Gaps during daily CME maintenance period (16:00-17:00 CT)
โถ Major Economic Indicator Releases: Gaps from rapid price changes during US employment reports, FOMC decisions, CPI releases, etc.
โถ Significant News Events: Gaps from regulatory announcements, geopolitical events, market shocks, etc.
โข Psychological Importance of Gaps:
โถ Zones where price formation did not occur, representing imbalance between buying/selling forces
โถ Gap areas have no actual trading, resulting in accumulated potential orders
โถ Reflect institutional investor positions and liquidity distribution in the CME futures market
โ Support/Resistance Mechanism
โข Psychological Level Formation Mechanism:
โถ Unexecuted order accumulation in gap areas: Loss of ordering opportunity at those price levels
โถ Liquidity imbalance: No trading occurred in gap areas, creating liquidity voids
โถ Institutional activity: Institutional participants in CME futures markets pay attention to these gap areas
โข Evidence of Support/Resistance Function:
โถ Statistical gap fill phenomenon: Most gaps eventually "fill" (price returns to gap area)
โถ Gap-based reactions: Increased frequency of price reactions (bounces/rejections) when reaching gap areas
โถ Market psychology impact: Influences traders' perceived value and fair price assessment
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Advanced Configuration Options
โ Visualization Settings
โข Show Gap Labels (Default: On)
โถ On: Displays price ranges of each gap numerically for precise support/resistance level identification
โถ Off: Hides labels for visual cleanliness
โข Color Settings
โถ Filled Gap Color: Gray tones, shows gaps already traversed by price
โถ Unfilled Gap Color - Support: Blue, shows gaps currently acting as support
โถ Unfilled Gap Color - Resistance: Red, shows gaps currently acting as resistance
โ Data Management Settings
โข Filled Gap Storage Limit (Default: 10)
โถ Sets maximum number of filled gaps to retain on chart
โถ Recommended settings: Short-term traders (5-8), Swing traders (8-12), Position traders (10-15)
โข Maximum Gap Retention Period (Default: 12 months)
โถ Sets period after which old unfilled gaps are automatically removed
โถ Recommended settings: Short-term analysis (3-6 months), Medium-term analysis (6-12 months), Long-term analysis (12-24 months)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Synergy with Other Indicators
โข Volume Profile: Greatly increased reaction probability when CME gaps align with Volume Profile value areas
โข Fibonacci Retracements: Formation of powerful reaction zones when major Fibonacci levels coincide with gap areas
โข Moving Averages: Areas where major moving averages overlap with CME gaps act as "composite support/resistance"
โข Horizontal Support/Resistance: Very strong price reactions expected when historical key price levels align with CME gaps
โข Market Sentiment Indicators (RSI/MACD): Assess reaction probability by checking oversold/overbought conditions when price approaches gap areas
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Conclusion
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is not merely a gap display tool, but an advanced analytical tool that visualizes important support/resistance areas where price may strongly react, using intuitive color codes (blue=support, red=resistance). It detects all types of gaps without omission, whether from weekend and holiday closures, weekday 1-hour maintenance periods, important economic indicator releases, or market shock situations.
The core value of this indicator lies in clearly expressing through intuitive color coding that gaps are not simple price discontinuities, but psychological support/resistance areas that significantly influence future price action. Traders can instantly identify areas where blue gaps act as support and red gaps act as resistance, enabling quick and effective decision-making.
By referencing the color codes when price approaches gap areas to predict possible price reactions, and especially interpreting color transition moments (blueโred or redโblue) as signals of important market sentiment changes and integrating them into trading strategies, traders can capture higher-probability trading opportunities.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป Disclaimer: Like all trading tools, the CME Gap Detector should be used as a supplementary indicator and not relied upon alone for trading decisions. Past gap reaction patterns cannot guarantee the same behavior in the future. Always use appropriate risk management strategies.
โโโ 52SIGNAL RECIPE CME Gap Support & Resistance Detector โโโ
โ ๊ฐ์
52SIGNAL RECIPE CME Gap Support & Resistance Detector๋ CME ๋นํธ์ฝ์ธ ์ ๋ฌผ ์์ฅ์์ ๋ฐ์ํ๋ ๋ชจ๋ ์ ํ์ ๊ฐ๊ฒฉ ๊ฐญ(Gap)์ ์๋์ผ๋ก ๊ฐ์งํ์ฌ ํธ๋ ์ด๋ฉ ์ฐจํธ์ ์๊ฐํํ๋ ๊ณ ๊ธ ๊ธฐ์ ์ ์งํ์
๋๋ค. ์ฃผ๋ง๊ณผ ๊ณตํด์ผ ํด์ฅ์ ๋ฌผ๋ก , ํ์ผ 1์๊ฐ ํด์ฅ ์๊ฐ, ๊ทธ๋ฆฌ๊ณ ์ค์ ๊ฒฝ์ ์งํ ๋ฐํ๋ ๋ด์ค ์ด๋ฒคํธ ์ ๋ฐ์ํ๋ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๊ฐญ๊น์ง ๋๋ฝ ์์ด ํฌ์ฐฉํฉ๋๋ค.
์ด ์ธ๋์ผ์ดํฐ์ ํต์ฌ ๊ฐ์น๋ ๋จ์ํ ๊ฐญ์ ํ์ํ๋ ๊ฒ์ ๋์ด, ์ด๋ฌํ ๊ฐ๊ฒฉ ๋ถ์ฐ์์ฑ์ด ๋ฏธ๋ ๊ฐ๊ฒฉ ์์ง์์ ์ํฅ์ ๋ฏธ์น๋ ๊ฐ๋ ฅํ ์ง์ง(Support)์ ์ ํญ(Resistance) ์์ญ์ผ๋ก ์์ฉํ๋ค๋ ์๋ฆฌ๋ฅผ ์๊ฐํํ๋ ๋ฐ ์์ต๋๋ค. ์ค์ ์์ฅ์์ ์ด๋ฌํ CME ๊ฐญ์ ๋์ ํ๋ฅ ๋ก ๋ฏธ๋์ "๋งค๊ฟ์ง๊ฑฐ๋" ์ค์ํ ๋ฐ์ ๊ตฌ๊ฐ์ผ๋ก ๊ธฐ๋ฅํ์ฌ ํธ๋ ์ด๋์๊ฒ ๊ท์คํ ์ง์
/ํด์ถ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ์ ๋ฐฉ์ ๊ฐญ ๊ฐ์ง: ๋ชจ๋ ์์ฅ ์กฐ๊ฑด์์ ๋ฐ์ํ๋ ๊ฐญ์ ๊ฐ์ง
- ์ฃผ๋ง/๊ณตํด์ผ ํด์ฅ ๊ฐญ
- ํ์ผ 1์๊ฐ ํด์ฅ ์๊ฐ ๊ฐญ
- ๊ฒฝ์ ์งํ/๋ด์ค ์ด๋ฒคํธ ์ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๋ณ๋ ๊ฐญ
โข ์ง๊ด์ ์์ ๊ตฌ๋ถ:
- ํ๋์: ๊ฐญ์ด ์ง์ง ์ญํ ์ ํ ๋(๊ฐ๊ฒฉ์ด ๊ฐญ ์์ ์์ ๋)
- ๋นจ๊ฐ์: ๊ฐญ์ด ์ ํญ ์ญํ ์ ํ ๋(๊ฐ๊ฒฉ์ด ๊ฐญ ์๋์ ์์ ๋)
- ํ์: ์ด๋ฏธ ๋งค๊ฟ์ง ๊ฐญ(๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์์ ํ ํต๊ณผ)
โข ์ค์๊ฐ ์ญํ ์ ํ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์/์๋๋ก ์ด๋ํจ์ ๋ฐ๋ผ ์ง์งโ์ ํญ ์ญํ ์ ํ์ ์๋์ผ๋ก ์์ ๋ณ๊ฒฝ์ผ๋ก ์๊ฐํ
โข ์ํ ์ถ์ ์์คํ
: ๊ฐญ์ด "๋งค๊ฟ์ง(Filled)" ๋๋ "๋งค๊ฟ์ง์ง ์์(Unfilled)" ์ํ๋ฅผ ์๋ ์ถ์
โข ๋ค์ด๋๋ฏน ๋ฐ์ค: ๊ฐญ ์์ญ์ ๋ช
ํํ ๋ฐ์ค๋ก ํ์ํ๊ณ ๊ฐ๊ฒฉ ์์ง์์ ๋ฐ๋ผ ๋์ ์ผ๋ก ์์ ๋ณ๊ฒฝ
โข ์ ๋ฐ ๋ ์ด๋ธ๋ง: ๊ฐ ๊ฐญ์ ๊ฐ๊ฒฉ ๋ฒ์๋ฅผ ์ ํํ ํ์ํ์ฌ ํธ๋ ์ด๋์ ์์ฌ๊ฒฐ์ ์ง์
โข ์ค๋งํธ ํํฐ๋ง: ์ฐ์์ ๊ฐญ ๊ฐ์ง ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ ๊ฐ์ ๋ ์๊ณ ๋ฆฌ์ฆ์ผ๋ก ๋๋ฝ ์๋ ๊ฐญ ์ถ์
โข ํต์ฌ ํ์ฉ ํฌ์ธํธ:
- ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์ ๊ทผํ ๋ ํน๋ณํ ์ฃผ๋ชฉํ์ธ์
- ๊ฐญ ์์ ๋ณ๊ฒฝ ์์ ์ ์ค์ํ ์์ฅ ์ฌ๋ฆฌ ๋ณํ ์ ํธ์
๋๋ค
- ์ฌ๋ฌ ๊ฐญ์ด ๋ฐ์ง๋ ์์ญ์ ํนํ ๊ฐํ ๋ฐ์์ด ์์๋๋ ๊ตฌ๊ฐ์
๋๋ค
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฌ์ฉ ๊ฐ์ด๋: ์์์ผ๋ก ์ดํดํ๋ ๊ฐญ ์ญํ
โ ์์ ์์คํ
ํด์๋ฒ
โข ํ๋์ ๊ฐญ (์ง์ง ์ญํ ):
โถ ์๋ฏธ: ํ์ฌ ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ ์์ด ๊ฐญ์ด ์ง์ง์ ์ผ๋ก ์์ฉ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ๊ฐ๊ฒฉ์ด ํ๋์ ๊ฐญ ์์ญ์ผ๋ก ํ๋ฝ ์ ๊ทผ ์ ๋งค์ ๊ธฐํ ๊ณ ๋ ค
โถ ์ฌ๋ฆฌ์ ์๋ฏธ: ๋งค์์ธ๋ ฅ์ด ์ด ๊ฐ๊ฒฉ๋์์ ์์ ์ฆ๊ฐ ๊ฐ๋ฅ์ฑ
โข ๋นจ๊ฐ์ ๊ฐญ (์ ํญ ์ญํ ):
โถ ์๋ฏธ: ํ์ฌ ๊ฐ๊ฒฉ์ด ๊ฐญ ์๋์ ์์ด ๊ฐญ์ด ์ ํญ์ ์ผ๋ก ์์ฉ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ๊ฐ๊ฒฉ์ด ๋นจ๊ฐ์ ๊ฐญ ์์ญ์ผ๋ก ์์น ์ ๊ทผ ์ ๋งค๋ ๊ธฐํ ๊ณ ๋ ค
โถ ์ฌ๋ฆฌ์ ์๋ฏธ: ๋งค๋์ธ๋ ฅ์ด ์ด ๊ฐ๊ฒฉ๋์์ ๊ณต๊ธ ์ฆ๊ฐ ๊ฐ๋ฅ์ฑ
โข ํ์ ๊ฐญ (๋งค๊ฟ์ง ๊ฐญ):
โถ ์๋ฏธ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์์ ํ ํต๊ณผํ์ฌ ๊ฐญ์ด ๋งค๊ฟ์ง ์ํ
โถ ์ฐธ์กฐ ๊ฐ์น: ๊ณผ๊ฑฐ ์ค์ ๋ฐ์ ๊ตฌ๊ฐ์ผ๋ก ์ฌ์ ํ ์ฐธ๊ณ ๊ฐ์น ์์
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ์ถ์ธ ๊ฐ๋ ํ์ธ ๋ฐ ์ฃผ์ ์ฌ๋ฆฌ์ ๋ ๋ฒจ ์๋ณ์ ํ์ฉ
โ ์์ ์ ํ ์ดํดํ๊ธฐ
โข ํ๋์ โ ๋นจ๊ฐ์ ์ ํ:
โถ ์๋ฏธ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์๋๋ก ํ๋ฝํ์ฌ ๊ฐญ์ด ์ง์ง์์ ์ ํญ์ผ๋ก ์ญํ ๋ณ๊ฒฝ
โถ ์์ฅ ํด์: ์ด์ ์ง์ง์ ๋ถ๊ดด๋ก ์ฝ์ธ ์ ํธ ๊ฐํ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ์ถ๊ฐ ํ๋ฝ ๊ฐ๋ฅ์ฑ ๊ณ ๋ ค, ๋ฐ๋ฑ ์ ๊ฐญ ํ๋จ ์ ํญ ํ์ธ
โข ๋นจ๊ฐ์ โ ํ๋์ ์ ํ:
โถ ์๋ฏธ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์๋ก ์์นํ์ฌ ๊ฐญ์ด ์ ํญ์์ ์ง์ง๋ก ์ญํ ๋ณ๊ฒฝ
โถ ์์ฅ ํด์: ์ด์ ์ ํญ์ ๋ํ๋ก ๊ฐ์ธ ์ ํธ ๊ฐํ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ์ถ๊ฐ ์์น ๊ฐ๋ฅ์ฑ ๊ณ ๋ ค, ์กฐ์ ์ ๊ฐญ ์๋จ ์ง์ง ํ์ธ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ค์ ํ์ฉ ๊ฐ์ด๋
โ ๊ธฐ๋ณธ ํธ๋ ์ด๋ฉ ์๋๋ฆฌ์ค
โข ํ๋์ ๊ฐญ ์ง์ง ์ ๋ต:
โถ ์ง์
์์ : ๊ฐ๊ฒฉ์ด ํ๋์ ๊ฐญ ์๋จ์ ์ ๊ทผํ์ฌ ๋ฐ๋ฑ ์บ๋ค ํ์ฑ ์
โถ ์์ ์์น: ๊ฐญ ํ๋จ ์๋(๊ฐญ ์์ ํ ํํฅ ๋ํ ์)
โถ ์ด์ต์คํ: ์ด์ ์ค์ ๊ณ ์ ๋๋ ์๋ฐฉ ๋ค์ ์ ํญ์
โถ ํ๋ฅ ์ฆ๊ฐ ์กฐ๊ฑด: ๊ฐญ๊ณผ ์ฃผ์ ์ด๋ํ๊ท ์ ์ผ์น, ๊ณผ๋งค๋ RSI, ๊ฐํ ๋ฐ๋ฑ ์บ๋ค
โข ๋นจ๊ฐ์ ๊ฐญ ์ ํญ ์ ๋ต:
โถ ์ง์
์์ : ๊ฐ๊ฒฉ์ด ๋นจ๊ฐ์ ๊ฐญ ํ๋จ์ ์ ๊ทผํ์ฌ ๊ฑฐ๋ถ ์บ๋ค ํ์ฑ ์
โถ ์์ ์์น: ๊ฐญ ์๋จ ์(๊ฐญ ์์ ํ ์ํฅ ๋ํ ์)
โถ ์ด์ต์คํ: ์ด์ ์ค์ ์ ์ ๋๋ ํ๋ฐฉ ๋ค์ ์ง์ง์
โถ ํ๋ฅ ์ฆ๊ฐ ์กฐ๊ฑด: ๊ฐญ๊ณผ ์ฃผ์ ์ด๋ํ๊ท ์ ์ผ์น, ๊ณผ๋งค์ RSI, ๊ฐํ ๊ฑฐ๋ถ ์บ๋ค
โ ๊ณ ๊ธ ํจํด ํ์ฉ๋ฒ
โข ๋ค์ค ๊ฐญ ํด๋ฌ์คํฐ ์๋ณ:
โถ ์ฌ๋ฌ ๊ฐญ์ด ๊ทผ์ ํ ๊ฐ๊ฒฉ๋์ ์๋ค๋ฉด ๋์ฑ ๊ฐ๋ ฅํ ์ง์ง/์ ํญ ์กด
โถ ๋์ผ ์์ ๊ฐญ ํด๋ฌ์คํฐ: ๋งค์ฐ ๊ฐ๋ ฅํ ๋จ์ผ ๋ฐฉํฅ ๋ฐ์ ๊ตฌ๊ฐ
โถ ์์ ํผํฉ ๊ฐญ ํด๋ฌ์คํฐ: ์ฌํ ๋ณ๋์ฑ๊ณผ ์๋ฐฉํฅ ๋ฐ์ ์์ ๊ตฌ๊ฐ
โข ๊ฐญ ์ํ์ค ๋ถ์:
โถ ์ฐ์์ ์ธ ๋์ผ ๋ฐฉํฅ ๊ฐญ: ๊ฐํ ์ถ์ธ ํ์ธ ์ ํธ
โถ ๊ฐญ ํฌ๊ธฐ ์ฆ๊ฐ ํจํด: ์ถ์ธ ๊ฐ์ํ ์ ํธ
โถ ๊ฐญ ํฌ๊ธฐ ๊ฐ์ ํจํด: ์ถ์ธ ์ฝํ ์ ํธ
โข ๋ด์ค/์งํ ๋ฐํ ํ ๊ฐญ ํ์ฉ:
โถ ๊ฒฝ์ ์งํ ๋ฐํ ์งํ ํ์ฑ๋ ๊ฐญ: ์์ฅ ์ถฉ๊ฒฉ ๊ฐ๋ ์ธก์
โถ ๊ฐญ ์์ ๋ณํ ๊ด์ฐฐ: ์์ฅ์ ๋ด์ค ์ฌํด์ ๊ณผ์ ํ์
โถ ๊ฐญ ๋งค๊ฟ ์๋ ๋ถ์: ๋ด์ค ์ํฉํธ์ ์ง์์ฑ ํ๊ฐ
โข ํต์ฌ ์ฃผ๋ชฉ ํฌ์ธํธ:
โถ ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์ ๊ทผํ ๋๋ง๋ค ์ฐจํธ๋ฅผ ํน๋ณํ ์ฃผ๋ชฉํ์ธ์
โถ ๊ฐญ ์์์ด ๋ณ๊ฒฝ๋๋ ์์ ์ ์ค์ํ ์์ฅ ์ฌ๋ฆฌ ๋ณํ๋ฅผ ์๋ฏธํฉ๋๋ค
โถ ์ฌ๋ฌ ๊ฐญ์ด ๋ฐ์ง๋ ์์ญ์ ๊ฐ๊ฒฉ์ด ๊ฐํ๊ฒ ๋ฐ์ํ ๊ฐ๋ฅ์ฑ์ด ๋์ต๋๋ค
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ธฐ์ ์ ๊ธฐ๋ฐ
โ CME ๊ฐญ์ ๋ฐ์ ์๋ฆฌ
โข ์ฃผ์ ๊ฐญ ๋ฐ์ ์ํฉ:
โถ ์ฃผ๋ง ํด์ฅ (๊ธ์์ผ ์ข
๊ฐ โ ์์์ผ ์๊ฐ): ๊ฐ์ฅ ์ผ๋ฐ์ ์ธ CME ๊ฐญ ํ์ฑ ์์
โถ ๊ณตํด์ผ ํด์ฅ: ๋ฏธ๊ตญ ๊ณตํด์ผ์ ๋ฐ๋ฅธ CME ํด์ฅ ์ ๋ฐ์
โถ ํ์ผ 1์๊ฐ ํด์ฅ: CME ์์ฅ์ ์ผ์ผ ์ ๋น ์๊ฐ(16:00~17:00 CT) ๋์ ๋ฐ์
โถ ์ฃผ์ ๊ฒฝ์ ์งํ ๋ฐํ: ๋ฏธ ๊ณ ์ฉ์งํ, FOMC ๊ฒฐ์ , CPI ๋ฑ ๋ฐํ ์ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๋ณ๋์ผ๋ก ์ธํ ๊ฐญ
โถ ์ค์ ๋ด์ค ์ด๋ฒคํธ: ๊ท์ ๋ฐํ, ์ง์ ํ์ ์ด๋ฒคํธ, ์์ฅ ์ถฉ๊ฒฉ ๋ฑ์ผ๋ก ์ธํ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๋ณํ
โข ๊ฐญ์ ์ฌ๋ฆฌ์ ์ค์์ฑ:
โถ ๊ฐ๊ฒฉ ํ์ฑ์ด ์ด๋ฃจ์ด์ง์ง ์์ ๊ตฌ๊ฐ์ผ๋ก, ๋งค์/๋งค๋ ์ธ๋ ฅ์ ๋ถ๊ท ํ ์์ญ
โถ ๊ฐญ ๊ตฌ๊ฐ์๋ ์ค์ ๊ฑฐ๋๊ฐ ์์๊ธฐ ๋๋ฌธ์ ์ ์ฌ์ ์ฃผ๋ฌธ์ด ๋์ ๋๋ ์์ญ
โถ ๊ธฐ๊ด ํฌ์์๋ค์ ์ ๋ฌผ ํฌ์ง์
๊ณผ ์ ๋์ฑ ๋ถํฌ๊ฐ ๋ฐ์๋ ์ค์ํ ๊ฐ๊ฒฉ ๋ ๋ฒจ
โ ์ง์ง/์ ํญ์ผ๋ก ์์ฉํ๋ ์๋ฆฌ
โข ์ฌ๋ฆฌ์ ๋ ๋ฒจ ํ์ฑ ๋ฉ์ปค๋์ฆ:
โถ ๊ฐญ ๊ตฌ๊ฐ์ ๋ฏธ์คํ ์ฃผ๋ฌธ ์ถ์ : ๊ฐญ ๋ฐ์ ์ ํด๋น ๊ฐ๊ฒฉ๋์ ๋ํ ์ฃผ๋ฌธ ๊ธฐํ ์์ค
โถ ์ ๋์ฑ ๋ถ๊ท ํ: ๊ฐญ ๊ตฌ๊ฐ์๋ ๊ฑฐ๋๊ฐ ์์์ผ๋ฏ๋ก ์ ๋์ฑ ๊ณต๋ฐฑ ๋ฐ์
โถ ๊ธฐ๊ด ํฌ์์ ํ๋: CME ์ ๋ฌผ ์์ฅ์ ๊ธฐ๊ด ์ฐธ์ฌ์๋ค์ ์ด๋ฌํ ๊ฐญ ์์ญ์ ๊ด์ฌ
โข ์ง์ง/์ ํญ ์์ฉ ์ฆ๊ฑฐ:
โถ ํต๊ณ์ ๊ฐญ ํ ํ์: ๋๋ถ๋ถ์ ๊ฐญ์ ๋ฏธ๋์ "๋งค๊ฟ์ง"(๊ฐ๊ฒฉ์ด ๊ฐญ ๊ตฌ๊ฐ์ผ๋ก ํ๊ท)
โถ ๊ฐญ ๊ธฐ๋ฐ ๋ฐ์: ๊ฐญ ์์ญ์ ๋๋ฌ ์ ๊ฐ๊ฒฉ ๋ฐ์(๋ฐ๋ฑ/๊ฑฐ๋ถ) ๋ฐ์ ๋น๋ ์ฆ๊ฐ
โถ ์์ฅ ์ฌ๋ฆฌ ์ํฅ: ํธ๋ ์ด๋๋ค์ ์ธ์ง๋ ๊ฐ์น์ ๊ณต์ ๊ฐ๊ฒฉ ํ๊ฐ์ ์ํฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ณ ๊ธ ์ค์ ์ต์
โ ์๊ฐํ ์ค์
โข ๋ผ๋ฒจ ํ์ ์ค์ (Show Gap Labels) (๊ธฐ๋ณธ๊ฐ: ์ผ์ง)
โถ ์ผ์ง: ๊ฐ ๊ฐญ์ ๊ฐ๊ฒฉ ๋ฒ์๋ฅผ ์ซ์๋ก ํ์ํ์ฌ ์ ํํ ์ง์ง/์ ํญ ๋ ๋ฒจ ํ์ธ
โถ ๊บผ์ง: ์๊ฐ์ ๊น๋ํจ์ ์ํด ๋ผ๋ฒจ ์จ๊น
โข ์์ ์ค์
โถ ๋งค๊ฟ์ง ๊ฐญ ์์(Filled Gap Color): ํ์ ๊ณ์ด, ์ด๋ฏธ ๊ฐ๊ฒฉ์ด ํต๊ณผํ ๊ฐญ ํ์
โถ ๋ฏธ๋งค๊ฟ์ง ๊ฐญ ์์ - ์ง์ง(Support): ํ๋์, ํ์ฌ ์ง์ง ์ญํ ์ ํ๋ ๊ฐญ
โถ ๋ฏธ๋งค๊ฟ์ง ๊ฐญ ์์ - ์ ํญ(Resistance): ๋นจ๊ฐ์, ํ์ฌ ์ ํญ ์ญํ ์ ํ๋ ๊ฐญ
โ ๋ฐ์ดํฐ ๊ด๋ฆฌ ์ค์
โข ๋งค๊ฟ์ง ๊ฐญ ์ ์ฅ ํ๋ (Filled Gap Storage Limit) (๊ธฐ๋ณธ๊ฐ: 10)
โถ ์ด๋ฏธ ๋งค๊ฟ์ง ๊ฐญ์ ์ต๋ ๋ช ๊ฐ๊น์ง ์ฐจํธ์ ์ ์งํ ์ง ์ค์
โถ ๊ถ์ฅ ์ค์ : ๋จ๊ธฐ ํธ๋ ์ด๋(5-8), ์ค์ ํธ๋ ์ด๋(8-12), ํฌ์ง์
ํธ๋ ์ด๋(10-15)
โข ์ต๋ ๊ฐญ ๋ณด๊ด ๊ธฐ๊ฐ (Maximum Gap Retention Period) (๊ธฐ๋ณธ๊ฐ: 12๊ฐ์)
โถ ์ค๋๋ ๋ฏธ๋งค๊ฟ์ง ๊ฐญ์ ์๋์ผ๋ก ์ ๊ฑฐํ๋ ๊ธฐ๊ฐ ์ค์
โถ ๊ถ์ฅ ์ค์ : ๋จ๊ธฐ ๋ถ์(3-6๊ฐ์), ์ค๊ธฐ ๋ถ์(6-12๊ฐ์), ์ฅ๊ธฐ ๋ถ์(12-24๊ฐ์)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ๋ณผ๋ฅจ ํ๋กํ์ผ: CME ๊ฐญ๊ณผ ๋ณผ๋ฅจ ํ๋กํ์ผ์ ๋ฐธ๋ฅ ์์ญ ์ผ์น ์ ๋ฐ์ ํ๋ฅ ํฌ๊ฒ ์ฆ๊ฐ
โข ํผ๋ณด๋์น ๋ฆฌํธ๋ ์ด์ค๋จผํธ: ์ฃผ์ ํผ๋ณด๋์น ๋ ๋ฒจ๊ณผ ๊ฐญ ์์ญ ์ผ์น ์ ๊ฐ๋ ฅํ ๋ฐ์ ์กด ํ์ฑ
โข ์ด๋ํ๊ท ์ : ์ฃผ์ ์ด๋ํ๊ท ์ ๊ณผ CME ๊ฐญ์ด ๊ฒน์น๋ ์์ญ์ "๋ณตํฉ ์ง์ง/์ ํญ"์ผ๋ก ์์ฉ
โข ์ํ ์ง์ง/์ ํญ: ๊ณผ๊ฑฐ ์ค์ ๊ฐ๊ฒฉ๋์ CME ๊ฐญ ์ผ์น ์ ๋งค์ฐ ๊ฐ๋ ฅํ ๊ฐ๊ฒฉ ๋ฐ์ ์์ ๊ฐ๋ฅ
โข ์์ฅ ์ฌ๋ฆฌ ์งํ(RSI/MACD): ๊ฐญ ์์ญ ์ ๊ทผ ์ ๊ณผ๋งค์/๊ณผ๋งค๋ ํ์ธ์ผ๋ก ๋ฐ์ ๊ฐ๋ฅ์ฑ ํ๋จ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
52SIGNAL RECIPE CME Gap Support & Resistance Detector๋ ๋จ์ํ ๊ฐญ ํ์ ๋๊ตฌ๊ฐ ์๋, ๊ฐ๊ฒฉ์ด ๊ฐํ๊ฒ ๋ฐ์ํ ์ ์๋ ์ค์ํ ์ง์ง/์ ํญ ์์ญ์ ์ง๊ด์ ์ธ ์์ ์ฝ๋(ํ๋์=์ง์ง, ๋นจ๊ฐ์=์ ํญ)๋ก ์๊ฐํํ๋ ๊ณ ๊ธ ๋ถ์ ๋๊ตฌ์
๋๋ค. ์ฃผ๋ง๊ณผ ๊ณตํด์ผ ํด์ฅ ์๊ฐ๋ฟ๋ง ์๋๋ผ, ํ์ผ 1์๊ฐ ํด์ฅ ์๊ฐ, ์ค์ ๊ฒฝ์ ์งํ ๋ฐํ, ๊ทธ๋ฆฌ๊ณ ์์ฅ ์ถฉ๊ฒฉ ์ํฉ์์ ๋ฐ์ํ๋ ๋ชจ๋ ์ ํ์ ๊ฐญ์ ๋๋ฝ ์์ด ๊ฐ์งํฉ๋๋ค.
์ธ๋์ผ์ดํฐ์ ํต์ฌ ๊ฐ์น๋ ๊ฐญ์ด ๋จ์ํ ๊ฐ๊ฒฉ ๋ถ์ฐ์์ฑ์ด ์๋, ๋ฏธ๋ ๊ฐ๊ฒฉ ํ๋์ ์ค์ํ ์ํฅ์ ๋ฏธ์น๋ ์ฌ๋ฆฌ์ ์ง์ง/์ ํญ ์์ญ์์ ์ง๊ด์ ์ธ ์์ ์ฝ๋๋ก ๋ช
ํํ ํํํ๋ ๋ฐ ์์ต๋๋ค. ํ๋์ ๊ฐญ์ ์ง์ง ์ญํ ์, ๋นจ๊ฐ์ ๊ฐญ์ ์ ํญ ์ญํ ์ ํ๋ ์์ญ์ ์ฆ๊ฐ์ ์ผ๋ก ์๋ณํ ์ ์์ด ํธ๋ ์ด๋๊ฐ ๋น ๋ฅด๊ณ ํจ๊ณผ์ ์ธ ์์ฌ๊ฒฐ์ ์ ๋ด๋ฆด ์ ์๋๋ก ๋์์ค๋๋ค.
๊ฐญ ์์ญ์ ์ ๊ทผํ ๋๋ง๋ค ์์ ์ฝ๋๋ฅผ ์ฐธ๊ณ ํ์ฌ ๊ฐ๋ฅํ ๊ฐ๊ฒฉ ๋ฐ์์ ์์ธกํ๊ณ , ํนํ ์์ ์ ํ์ด ์ผ์ด๋๋ ์๊ฐ(ํ๋์โ๋นจ๊ฐ์ ๋๋ ๋นจ๊ฐ์โํ๋์)์ ์ค์ํ ์์ฅ ์ฌ๋ฆฌ ๋ณํ ์ ํธ๋ก ํด์ํ์ฌ ํธ๋ ์ด๋ฉ ์ ๋ต์ ํตํฉํ๋ค๋ฉด, ๋ ๋์ ํ๋ฅ ์ ๊ฑฐ๋ ๊ธฐํ๋ฅผ ํฌ์ฐฉํ ์ ์์ ๊ฒ์
๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, CME Gap Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉ๋์ด์ผ ํ๋ฉฐ ๋จ๋
์ผ๋ก ๊ฑฐ๋ ๊ฒฐ์ ์ ๋ด๋ฆฌ๋ ๋ฐ ์ฌ์ฉํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ฐญ ๋ฐ์ ํจํด์ด ๋ฏธ๋์๋ ๋์ผํ๊ฒ ์์ฉํ๋ค๊ณ ๋ณด์ฅํ ์ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ์ฌ์ฉํ์ธ์.
Liquidity Break Probability [PhenLabs]๐ Liquidity Break Probability
Version: PineScriptโข v6
The Liquidity Break Probability indicator revolutionizes how traders approach liquidity levels by providing real-time probability calculations for level breaks. This advanced indicator combines sophisticated market analysis with machine learning inspired probability models to predict the likelihood of high/low breaks before they happen.
Unlike traditional liquidity indicators that simply draw lines, LBP analyzes market structure, volume profiles, momentum, volatility, and sentiment to generate dynamic break probabilities ranging from 5% to 95%. This gives traders unprecedented insight into which levels are most likely to hold or break, enabling more confident trading decisions.
๐ Points of Innovation
Advanced 6-factor probability model weighing market structure, volatility, volume, momentum, patterns, and sentiment
Real-time probability updates that adjust as market conditions change
Intelligent trading style presets (Scalping, Day Trading, Swing Trading) with optimized parameters
Dynamic color-coded probability labels showing break likelihood percentages
Professional tiered input system - from quick setup to expert-level customization
Smart volume filtering that only highlights levels with significant institutional interest
๐ง Core Components
Market Structure Analysis: Evaluates trend alignment, level strength, and momentum buildup using EMA crossovers and price action
Volatility Engine: Incorporates ATR expansion, Bollinger Band positioning, and price distance calculations
Volume Profile System: Analyzes current volume strength, smart money proxies, and level creation volume ratios
Momentum Calculator: Combines RSI positioning, MACD strength, and momentum divergence detection
Pattern Recognition: Identifies reversal patterns (doji, hammer, engulfing) near key levels
Sentiment Analysis: Processes fear/greed indicators and market breadth measurements
๐ฅ Key Features
Dynamic Probability Labels: Real-time percentage displays showing break probability with color coding (red >70%, orange >50%, white <50%)
Trading Style Optimization: One-click presets automatically configure sensitivity and parameters for your trading timeframe
Professional Dashboard: Live market state monitoring with nearest level tracking and active level counts
Smart Alert System: Customizable proximity alerts and high-probability break notifications
Advanced Level Management: Intelligent line cleanup and historical analysis options
Volume-Validated Levels: Only displays levels backed by significant volume for institutional-grade analysis
๐จ Visualization
Recent Low Lines: Red lines marking validated support levels with probability percentages
Recent High Lines: Blue lines showing resistance zones with break likelihood indicators
Probability Labels: Color-coded percentage labels that update in real-time
Professional Dashboard: Customizable panel showing market state, active levels, and current price
Clean Display Modes: Toggle between active-only view for clean charts or historical view for analysis
๐ Usage Guidelines
Quick Setup
Trading Style Preset
Default: Day Trading
Options: Scalping, Day Trading, Swing Trading, Custom
Description: Automatically optimizes all parameters for your preferred trading timeframe and style
Show Break Probability %
Default: True
Description: Displays percentage labels next to each level showing break probability
Line Display
Default: Active Only
Options: Active Only, All Levels
Description: Choose between clean active-only view or comprehensive historical analysis
Level Detection Settings
Level Sensitivity
Default: 5
Range: 1-20
Description: Lower values show more levels (sensitive), higher values show fewer levels (selective)
Volume Filter Strength
Default: 2.0
Range: 0.5-5.0
Description: Controls minimum volume threshold for level validation
Advanced Probability Model
Market Trend Influence
Default: 25%
Range: 0-50%
Description: Weight given to overall market trend in probability calculations
Volume Influence
Default: 20%
Range: 0-50%
Description: Impact of volume analysis on break probability
โ
Best Use Cases
Identifying high-probability breakout setups before they occur
Determining optimal entry and exit points near key levels
Risk management through probability-based position sizing
Confluence trading when multiple high-probability levels align
Scalping opportunities at levels with low break probability
Swing trading setups using high-probability level breaks
โ ๏ธ Limitations
Probability calculations are estimations based on historical patterns and current market conditions
High-probability setups do not guarantee successful trades - risk management is essential
Performance may vary significantly across different market conditions and asset classes
Requires understanding of support/resistance concepts and probability-based trading
Best used in conjunction with other analysis methods and proper risk management
๐ก What Makes This Unique
Probability-Based Approach: First indicator to provide quantitative break probabilities rather than simple S/R lines
Multi-Factor Analysis: Combines 6 different market factors into a comprehensive probability model
Adaptive Intelligence: Probabilities update in real-time as market conditions change
Professional Interface: Tiered input system from beginner-friendly to expert-level customization
Institutional-Grade Filtering: Volume validation ensures only significant levels are displayed
๐ฌ How It Works
1. Level Detection:
Identifies pivot highs and lows using configurable sensitivity settings
Validates levels with volume analysis to ensure institutional significance
2. Probability Calculation:
Analyzes 6 key market factors: structure, volatility, volume, momentum, patterns, sentiment
Applies weighted scoring system based on user-defined factor importance
Generates probability score from 5% to 95% for each level
3. Real-Time Updates:
Continuously monitors price action and market conditions
Updates probability calculations as new data becomes available
Adjusts for level touches and changing market dynamics
๐ก Note: This indicator works best on timeframes from 1-minute to 4-hour charts. For optimal results, combine with proper risk management and consider multiple timeframe analysis. The probability calculations are most accurate in trending markets with normal to high volatility conditions.
Lorentzian Classification - Advanced Trading DashboardLorentzian Classification - Relativistic Market Analysis
A Journey from Theory to Trading Reality
What began as fascination with Einstein's relativity and Lorentzian geometry has evolved into a practical trading tool that bridges theoretical physics and market dynamics. This indicator represents months of wrestling with complex mathematical concepts, debugging intricate algorithms, and transforming abstract theory into actionable trading signals.
The Theoretical Foundation
Lorentzian Distance in Market Space
Traditional Euclidean distance treats all feature differences equally, but markets don't behave uniformly. Lorentzian distance, borrowed from spacetime geometry, provides a more nuanced similarity measure:
d(x,y) = ฮฃ ln(1 + |xi - yi|)
This logarithmic formulation naturally handles:
Scale invariance: Large price moves don't overwhelm small but significant patterns
Outlier robustness: Extreme values are dampened rather than dominating
Non-linear relationships: Captures market behavior better than linear metrics
K-Nearest Neighbors with Relativistic Weighting
The algorithm searches historical market states for patterns similar to current conditions. Each neighbor receives weight inversely proportional to its Lorentzian distance:
w = 1 / (1 + distance)
This creates a "gravitational" effect where closer patterns have stronger influence on predictions.
The Implementation Challenge
Creating meaningful market features required extensive experimentation:
Price Features: Multi-timeframe momentum (1, 2, 3, 5, 8 bar lookbacks) Volume Features: Relative volume analysis against 20-period average
Volatility Features: ATR and Bollinger Band width normalization Momentum Features: RSI deviation from neutral and MACD/price ratio
Each feature undergoes min-max normalization to ensure equal weighting in distance calculations.
The Prediction Mechanism
For each current market state:
Feature Vector Construction: 12-dimensional representation of market conditions
Historical Search: Scan lookback period for similar patterns using Lorentzian distance
Neighbor Selection: Identify K nearest historical matches
Outcome Analysis: Examine what happened N bars after each match
Weighted Prediction: Combine outcomes using distance-based weights
Confidence Calculation: Measure agreement between neighbors
Technical Hurdles Overcome
Array Management: Complex indexing to prevent look-ahead bias
Distance Calculations: Optimizing nested loops for performance
Memory Constraints: Balancing lookback depth with computational limits
Signal Filtering: Preventing clustering of identical signals
Advanced Dashboard System
Main Control Panel
The primary dashboard provides real-time market intelligence:
Signal Status: Current prediction with confidence percentage
Neighbor Analysis: How many historical patterns match current conditions
Market Regime: Trend strength, volatility, and volume analysis
Temporal Context: Real-time updates with timestamp
Performance Analytics
Comprehensive tracking system monitors:
Win Rate: Percentage of successful predictions
Signal Count: Total predictions generated
Streak Analysis: Current winning/losing sequence
Drawdown Monitoring: Maximum equity decline
Sharpe Approximation: Risk-adjusted performance estimate
Risk Assessment Panel
Multi-dimensional risk analysis:
RSI Positioning: Overbought/oversold conditions
ATR Percentage: Current volatility relative to price
Bollinger Position: Price location within volatility bands
MACD Alignment: Momentum confirmation
Confidence Heatmap
Visual representation of prediction reliability:
Historical Confidence: Last 10 periods of prediction certainty
Strength Analysis: Magnitude of prediction values over time
Pattern Recognition: Color-coded confidence levels for quick assessment
Input Parameters Deep Dive
Core Algorithm Settings
K Nearest Neighbors (1-20): More neighbors create smoother but less responsive signals. Optimal range 5-8 for most markets.
Historical Lookback (50-500): Deeper history improves pattern recognition but reduces adaptability. 100-200 bars optimal for most timeframes.
Feature Window (5-30): Longer windows capture more context but reduce sensitivity. Match to your trading timeframe.
Feature Selection
Price Changes: Essential for momentum and reversal detection Volume Profile: Critical for institutional activity recognition Volatility Measures: Key for regime change detection Momentum Indicators: Vital for trend confirmation
Signal Generation
Prediction Horizon (1-20): How far ahead to predict. Shorter horizons for scalping, longer for swing trading.
Signal Threshold (0.5-0.9): Confidence required for signal generation. Higher values reduce false signals but may miss opportunities.
Smoothing (1-10): EMA applied to raw predictions. More smoothing reduces noise but increases lag.
Visual Design Philosophy
Color Themes
Professional: Corporate blue/red for institutional environments Neon: Cyberpunk cyan/magenta for modern aesthetics
Matrix: Green/red hacker-inspired palette Classic: Traditional trading colors
Information Hierarchy
The dashboard system prioritizes information by importance:
Primary Signals: Largest, most prominent display
Confidence Metrics: Secondary but clearly visible
Supporting Data: Detailed but unobtrusive
Historical Context: Available but not distracting
Trading Applications
Signal Interpretation
Long Signals: Prediction > threshold with high confidence
Look for volume confirmation
- Check trend alignment
- Verify support levels
Short Signals: Prediction < -threshold with high confidence
Confirm with resistance levels
- Check for distribution patterns
- Verify momentum divergence
- Market Regime Adaptation
Trending Markets: Higher confidence in directional signals
Ranging Markets: Focus on reversal signals at extremes
Volatile Markets: Require higher confidence thresholds
Low Volume: Reduce position sizes, increase caution
Risk Management Integration
Confidence-Based Sizing: Larger positions for higher confidence signals
Regime-Aware Stops: Wider stops in volatile regimes
Multi-Timeframe Confirmation: Align signals across timeframes
Volume Confirmation: Require volume support for major signals
Originality and Innovation
This indicator represents genuine innovation in several areas:
Mathematical Approach
First application of Lorentzian geometry to market pattern recognition. Unlike Euclidean-based systems, this naturally handles market non-linearities.
Feature Engineering
Sophisticated multi-dimensional feature space combining price, volume, volatility, and momentum in normalized form.
Visualization System
Professional-grade dashboard system providing comprehensive market intelligence in intuitive format.
Performance Tracking
Real-time performance analytics typically found only in institutional trading systems.
Development Journey
Creating this indicator involved overcoming numerous technical challenges:
Mathematical Complexity: Translating theoretical concepts into practical code
Performance Optimization: Balancing accuracy with computational efficiency
User Interface Design: Making complex data accessible and actionable
Signal Quality: Filtering noise while maintaining responsiveness
The result is a tool that brings institutional-grade analytics to individual traders while maintaining the theoretical rigor of its mathematical foundation.
Best Practices
- Parameter Optimization
- Start with default settings and adjust based on:
Market Characteristics: Volatile vs. stable
Trading Timeframe: Scalping vs. swing trading
Risk Tolerance: Conservative vs. aggressive
Signal Confirmation
Never trade on Lorentzian signals alone:
Price Action: Confirm with support/resistance
Volume: Verify with volume analysis
Multiple Timeframes: Check higher timeframe alignment
Market Context: Consider overall market conditions
Risk Management
Position Sizing: Scale with confidence levels
Stop Losses: Adapt to market volatility
Profit Targets: Based on historical performance
Maximum Risk: Never exceed 2-3% per trade
Disclaimer
This indicator is for educational and research purposes only. It does not constitute financial advice or guarantee profitable trading results. The Lorentzian classification system reveals market patterns but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
Market dynamics are inherently uncertain, and past performance does not guarantee future results. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution.
Bringing the elegance of relativistic geometry to market analysis through sophisticated pattern recognition and intuitive visualization.
Thank you for sharing the idea. You're more than a follower, you're a leader!
@vasanthgautham1221
Trade with precision. Trade with insight.
โ Dskyz , for DAFE Trading Systems
SCTI - D14SCTI - D14 Comprehensive Technical Analysis Suite
English Description
SCTI D14 is an advanced multi-component technical analysis indicator designed for professional traders and analysts. This comprehensive suite combines multiple analytical tools into a single, powerful indicator that provides deep market insights across various timeframes and methodologies.
Core Components:
1. EMA System (Exponential Moving Averages)
13 customizable EMA lines with periods ranging from 8 to 2584
Fibonacci-based periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584)
Color-coded visualization for easy trend identification
Individual toggle controls for each EMA line
2. TFMA (Multi-Timeframe Moving Averages)
Cross-timeframe analysis with 3 independent EMA calculations
Real-time labels showing trend direction and price relationships
Customizable timeframes for each moving average
Percentage deviation display from current price
3. PMA (Precision Moving Average Cloud)
7-layer moving average system with customizable periods
Fill areas between moving averages for trend visualization
Support and resistance zone identification
Dynamic color-coded trend clouds
4. VWAP (Volume Weighted Average Price)
Multiple anchor points (Session, Week, Month, Quarter, Year, Earnings, Dividends, Splits)
Standard deviation bands for volatility analysis
Automatic session detection and anchoring
Statistical price level identification
5. Advanced Divergence Detector
12 technical indicators for divergence analysis (MACD, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, VW-MACD, CMF, MFI, External)
Regular and hidden divergences detection
Bullish and bearish signals with visual confirmation
Customizable sensitivity and filtering options
Real-time alerts for divergence formations
6. Volume Profile & Node Analysis
Comprehensive volume distribution analysis
Point of Control (POC) identification
Value Area High/Low (VAH/VAL) calculations
Volume peaks and troughs detection
Support and resistance levels based on volume
7. Smart Money Concepts
Market structure analysis with Break of Structure (BOS) and Change of Character (CHoCH)
Internal and swing structure detection
Equal highs and lows identification
Fair Value Gaps (FVG) detection and visualization
Liquidity zones and institutional flow analysis
8. Trading Sessions
9 major trading sessions (Asia, Sydney, Tokyo, Shanghai, Hong Kong, Europe, London, New York, NYSE)
Real-time session status and countdown timers
Session volume and performance tracking
Customizable session boxes and labels
Statistical session analysis table
Key Features:
Modular Design: Enable/disable any component independently
Real-time Analysis: Live updates with market data
Multi-timeframe Support: Works across all chart timeframes
Customizable Alerts: Set alerts for any detected pattern or signal
Professional Visualization: Clean, organized display with customizable colors
Performance Optimized: Efficient code for smooth chart performance
Use Cases:
Trend Analysis: Identify market direction using multiple EMA systems
Entry/Exit Points: Use divergences and structure breaks for timing
Risk Management: Utilize volume profiles and session analysis for better positioning
Multi-timeframe Analysis: Confirm signals across different timeframes
Institutional Analysis: Track smart money flows and market structure
Perfect For:
Day traders seeking comprehensive market analysis
Swing traders needing multi-timeframe confirmation
Professional analysts requiring detailed market structure insights
Algorithmic traders looking for systematic signal generation
---
ไธญๆๆ่ฟฐ
SCTI - D14ๆฏไธไธชๅ
่ฟ็ๅค็ปไปถๆๆฏๅๆๆๆ ๏ผไธไธบไธไธไบคๆ่
ๅๅๆๅธ่ฎพ่ฎกใ่ฟไธช็ปผๅๅฅไปถๅฐๅค็งๅๆๅทฅๅ
ทๆดๅๅฐไธไธชๅผบๅคง็ๆๆ ไธญ๏ผๅจๅ็งๆถ้ดๆกๆถๅๆนๆณ่ฎบไธญๆไพๆทฑๅบฆๅธๅบๆดๅฏใ
ๆ ธๅฟ็ปไปถ๏ผ
1. EMA็ณป็ป๏ผๆๆฐ็งปๅจๅนณๅ็บฟ๏ผ
13ๆกๅฏๅฎๅถEMA็บฟ๏ผๅจๆไป8ๅฐ2584
ๅบไบๆๆณข้ฃๅฅ็ๅจๆ๏ผ8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584๏ผ
้ข่ฒ็ผ็ ๅฏ่งๅ๏ผไพฟไบ่ถๅฟ่ฏๅซ
ๆฏๆกEMA็บฟ็็ฌ็ซๅๆขๆงๅถ
2. TFMA๏ผๅคๆถ้ดๆกๆถ็งปๅจๅนณๅ็บฟ๏ผ
่ทจๆถ้ดๆกๆถๅๆ๏ผๅ
ๅซ3ไธช็ฌ็ซ็EMA่ฎก็ฎ
ๅฎๆถๆ ็ญพๆพ็คบ่ถๅฟๆนๅๅไปทๆ ผๅ
ณ็ณป
ๆฏไธช็งปๅจๅนณๅ็บฟ็ๅฏๅฎๅถๆถ้ดๆกๆถ
ๆพ็คบไธๅฝๅไปทๆ ผ็็พๅๆฏๅๅทฎ
3. PMA๏ผ็ฒพๅฏ็งปๅจๅนณๅไบ๏ผ
7ๅฑ็งปๅจๅนณๅ็ณป็ป๏ผๅจๆๅฏๅฎๅถ
็งปๅจๅนณๅ็บฟ้ดๅกซๅ
ๅบๅ็จไบ่ถๅฟๅฏ่งๅ
ๆฏๆ้ปๅๅบๅ่ฏๅซ
ๅจๆ้ข่ฒ็ผ็ ่ถๅฟไบ
4. VWAP๏ผๆไบค้ๅ ๆๅนณๅไปทๆ ผ๏ผ
ๅคไธช้็น๏ผไบคๆๆถๆฎตใๅจใๆใๅญฃใๅนดใ่ดขๆฅใๅ็บขใๆ่ก๏ผ
ๆ ๅๅทฎๅธฆ็จไบๆณขๅจๆงๅๆ
่ชๅจๆถๆฎตๆฃๆตๅ้ๅฎ
็ป่ฎกไปทๆ ผๆฐดๅนณ่ฏๅซ
5. ้ซ็บง่็ฆปๆฃๆตๅจ
12ไธชๆๆฏๆๆ ็จไบ่็ฆปๅๆ๏ผMACDใRSIใ้ๆบๆๆ ใCCIใๅจๅปๅงๆฏ%RใBiasใๅจ้ใOBVใVW-MACDใCMFใMFIใๅค้จๆๆ ๏ผ
ๅธธ่งๅ้่่็ฆปๆฃๆต
็ๆถจ็่ทไฟกๅท้
่ง่ง็กฎ่ฎค
ๅฏๅฎๅถๆๆๅบฆๅ่ฟๆปค้้กน
่็ฆปๅฝขๆ็ๅฎๆถ่ญฆๆฅ
6. ๆไบค้ๅๅธไธ่็นๅๆ
ๅ
จ้ข็ๆไบค้ๅๅธๅๆ
ๆงๅถ็น๏ผPOC๏ผ่ฏๅซ
ไปทๅผๅบๅ้ซ/ไฝ็น๏ผVAH/VAL๏ผ่ฎก็ฎ
ๆไบค้ๅณฐๅผๅไฝ่ฐทๆฃๆต
ๅบไบๆไบค้็ๆฏๆ้ปๅๆฐดๅนณ
7. ่ชๆ้ฑๆฆๅฟต
ๅธๅบ็ปๆๅๆ๏ผๅ
ๆฌ็ปๆ็ช็ ด๏ผBOS๏ผๅ็ปๆ่ฝฌๅ๏ผCHoCH๏ผ
ๅ
้จๅๆๅจ็ปๆๆฃๆต
็ญ้ซ็ญไฝ่ฏๅซ
ๅ
ฌๅ
ไปทๅผ็ผบๅฃ๏ผFVG๏ผๆฃๆตๅๅฏ่งๅ
ๆตๅจๆงๅบๅๅๆบๆ่ต้ๆตๅๆ
8. ไบคๆๆถๅบ
9ไธชไธป่ฆไบคๆๆถๆฎต๏ผไบๆดฒใๆๅฐผใไธไบฌใไธๆตทใ้ฆๆธฏใๆฌงๆดฒใไผฆๆฆใ็บฝ็บฆใ็บฝไบคๆ๏ผ
ๅฎๆถๆถๆฎต็ถๆๅๅ่ฎกๆถๅจ
ๆถๆฎตๆไบค้ๅ่กจ็ฐ่ท่ธช
ๅฏๅฎๅถๆถๆฎตๆกๅๆ ็ญพ
็ป่ฎกๆถๆฎตๅๆ่กจๆ ผ
ไธป่ฆ็นๆง๏ผ
ๆจกๅๅ่ฎพ่ฎก๏ผๅฏ็ฌ็ซๅฏ็จ/็ฆ็จไปปไฝ็ปไปถ
ๅฎๆถๅๆ๏ผ้ๅธๅบๆฐๆฎๅฎๆถๆดๆฐ
ๅคๆถ้ดๆกๆถๆฏๆ๏ผ้็จไบๆๆๅพ่กจๆถ้ดๆกๆถ
ๅฏๅฎๅถ่ญฆๆฅ๏ผไธบไปปไฝๆฃๆตๅฐ็ๆจกๅผๆไฟกๅท่ฎพ็ฝฎ่ญฆๆฅ
ไธไธๅฏ่งๅ๏ผๆธ
ๆดใๆๅบ็ๆพ็คบ็้ข๏ผ้ข่ฒๅฏๅฎๅถ
ๆง่ฝไผๅ๏ผ้ซๆไปฃ็ ็กฎไฟๅพ่กจๆต็
่ฟ่ก
ไฝฟ็จๅบๆฏ๏ผ
่ถๅฟๅๆ๏ผไฝฟ็จๅค้EMA็ณป็ป่ฏๅซๅธๅบๆนๅ
ๅ
ฅๅบ/ๅบๅบ็น๏ผๅฉ็จ่็ฆปๅ็ปๆ็ช็ ด่ฟ่กๆถๆบ้ๆฉ
้ฃ้ฉ็ฎก็๏ผๅฉ็จๆไบค้ๅๅธๅๆถๆฎตๅๆ่ฟ่กๆดๅฅฝๅฎไฝ
ๅคๆถ้ดๆกๆถๅๆ๏ผๅจไธๅๆถ้ดๆกๆถ้ด็กฎ่ฎคไฟกๅท
ๆบๆๅๆ๏ผ่ท่ธช่ชๆ้ฑๆตๅๅๅธๅบ็ปๆ
้็จไบ๏ผ
ๅฏปๆฑๅ
จ้ขๅธๅบๅๆ็ๆฅๅ
ไบคๆ่
้่ฆๅคๆถ้ดๆกๆถ็กฎ่ฎค็ๆๅจไบคๆ่
้่ฆ่ฏฆ็ปๅธๅบ็ปๆๆดๅฏ็ไธไธๅๆๅธ
ๅฏปๆฑ็ณป็ปๅไฟกๅท็ๆ็็ฎๆณไบคๆ่
SpaceTime Profile Regular SpaceManBTCSpaceTime Profile Regular SpaceManBTC
Is a profiling tool for a market session.
Using time and price it calculates the TPO mapping the POC on your chart as well as the general profile.
The tool is useful as it can give you a general idea of how a day traded/is trading based off of its shape.
As well as provides the current developing POC as a reference for potentially a dynamic level of interest.
Value area shading is also including in the release using 68% as my reference of personal choice to represent where
bulk of the market activity occured on a given time frame.
To generate the data the indicator aims to look at the price variations over time of the given session (you can choose this in settings), this will then stack
and overlay on the chart to generate the TPO calculations by mapping 1 to 1 with the price you see on the chart.
This will give you areas of importance such as the POC which can be retested when naked providing a point of interest.
Works similar to volume profile but with no volume calculations only with price and time in mind.
Very useful tool for trend / market analysis by providing this graphical representation of a trading session between buyers and sellers!
SLO Pro-J-Algo # Smart Liquidity & OTE Analysis Tool
## OVERVIEW
This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements.
The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior.
---
## CORE CONCEPTS & METHODOLOGY
### 1. TRADING SESSIONS ANALYSIS
**What it does:**
The indicator tracks three major forex trading sessions with customizable time zones:
- **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action
- **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity
- **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity
**How it works:**
- Automatically highlights active sessions with colored background boxes
- Draws session high/low lines which often act as intraday support/resistance
- Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest
- Color-codes the price bars during overlaps to alert traders to increased opportunity periods
- Displays real-time session status (๐ข Open / ๐ด Closed) for quick reference
**Trading Application:**
Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously.
---
### 2. EXTERNAL LIQUIDITY SWEEPS
**What it does:**
Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected.
**How it works:**
- Scans the previous 20 bars (configurable) to identify swing high and low points
- Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows)
- Monitors price action using three detection methods:
* **Wick Break:** Any candle wick extending beyond the liquidity level
* **Close Break:** Candle body closing beyond the level (stronger confirmation)
* **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab)
- Uses an ATR-based buffer to avoid false signals from minor price spikes
- Confirms sweeps only after a configurable number of confirmation bars to reduce repainting
**The Logic Behind It:**
Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals.
**Visual Representation:**
- Blue horizontal lines mark buyside liquidity zones (above price)
- Gray horizontal lines mark sellside liquidity zones (below price)
- Labels indicate when liquidity has been swept (โ) or remains active
- Historical zones are maintained for context (configurable display limit)
---
### 3. INTERNAL LIQUIDITY DETECTION
**What it does:**
Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves.
**How it works:**
- Examines the most recent 8 bars (configurable) for price levels that occur multiple times
- Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal"
- Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity
- Tracks both the creation and sweeping of these internal levels
- Differentiates between wick breaks and close breaks for sweep confirmation
**The Concept:**
Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves.
**Why This Matters:**
Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing.
**Visual Representation:**
- Cyan lines mark internal buyside liquidity (equal highs)
- Orange lines mark internal sellside liquidity (equal lows)
- Dashed or solid lines based on user preference
- Labels show when internal levels are swept
---
### 4. OPTIMAL TRADE ENTRY (OTE) ZONES
**What it does:**
Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break.
**How it works:**
- Identifies swing highs and lows using a 10-bar lookback period (configurable)
- Calculates three key Fibonacci levels:
* **0.618** - The "golden ratio" retracement (most significant)
* **0.705** - Mid-point between 0.618 and 0.786
* **0.786** - Deep retracement level (square root of 0.618)
- Optionally requires a structure break before displaying OTE zones
- Dynamically extends zones as new price action develops
- Tracks whether price has entered the zone (โ
) or exited without filling (โ)
- Displays up to 2 most recent zones (configurable) to avoid chart clutter
**The Methodology:**
OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios.
**Combining with Liquidity:**
The most powerful setups occur when:
1. External liquidity is swept
2. Price retraces into an OTE zone
3. Internal liquidity is present as a target
This confluence suggests smart money activity and high-probability trade opportunities.
**Visual Representation:**
- Shaded blue zone between 0.618 and 0.786 levels
- Three horizontal lines showing key Fibonacci levels with different colors/styles
- Labels (๐ฏ) indicate bullish or bearish OTE zones
- Entry (โ
) and exit (โ) status for each zone
---
## WHY THESE FEATURES WORK TOGETHER
This indicator combines these four components because they represent different stages of institutional trading behavior:
1. **Session Timing** - Identifies WHEN institutional activity is highest
2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity
3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps
4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons
Rather than using each concept in isolation, this integration creates a complete market structure framework. For example:
- A buyside liquidity sweep during London open โ
- Followed by a retrace into a bullish OTE zone โ
- With internal sellside liquidity as the initial target
This sequence represents a complete high-probability trade setup aligned with smart money principles.
---
## ANTI-REPAINTING FEATURES
**The Repainting Problem:**
Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy.
**Our Solution:**
- **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars)
- **Marked Confirmation:** Labels show "C" when using confirmed signals
- **Trade-off:** More confirmation = less repainting but slightly delayed signals
- **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable)
---
## KEY CUSTOMIZATION OPTIONS
### Master Controls
- Toggle each major feature on/off independently
- Combine only the features relevant to your trading style
### Display Settings
- Adjust lookback periods for each component
- Control number of historical zones displayed
- Customize colors, line styles, and transparency
- Show/hide labels and session names
- Configure text sizes for different screen setups
### Detection Sensitivity
- **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces
- **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals)
- **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal"
- **Confirmation Bars:** Balance between signal speed and reliability
### Alert System
- Session open/close notifications
- Liquidity sweep alerts
- OTE zone entry alerts
- Configurable alert frequency and types
---
## HOW TO USE THIS INDICATOR
### Basic Setup
1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday)
2. Enable the features you want to use via Master Controls
3. Adjust colors and transparency to match your chart preferences
4. Configure alert preferences if using notifications
### Trading Workflow
**Step 1: Identify the Session**
- Determine which trading session is active or approaching
- Note session highs/lows as potential liquidity targets
- Be especially alert during session overlaps
**Step 2: Watch for Liquidity Sweeps**
- Monitor external liquidity lines (swing highs/lows)
- When price sweeps liquidity, anticipate a potential reversal
- Stronger sweeps (close breaks + full retraces) are more significant
**Step 3: Wait for OTE Retracement**
- After a sweep, wait for price to retrace into the OTE zone (0.618-0.786)
- Bullish OTE after sellside sweep = potential long
- Bearish OTE after buyside sweep = potential short
**Step 4: Use Internal Liquidity as Targets**
- Look for internal liquidity in the direction of your trade
- These serve as initial profit targets
- External liquidity serves as extended targets
**Step 5: Manage Confirmation Settings**
- For live trading, use confirmed signals (2+ confirmation bars)
- For backtesting or analysis, you may use real-time signals
- Note that confirmed signals appear with "C" marking
### Example Trade Scenarios
**Bullish Setup:**
1. London session opens (increased volume)
2. Price sweeps sellside liquidity below Asian low
3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move)
4. Target internal buyside liquidity, then external buyside liquidity
**Bearish Setup:**
1. NY session overlap with London (peak liquidity)
2. Price sweeps buyside liquidity above recent high
3. Price retraces into bearish OTE zone
4. Target internal sellside liquidity, then session lows
---
## BEST PRACTICES
### What This Indicator Does Well
โ Identifies high-probability institutional trading zones
โ Provides clear visual roadmap of likely price targets
โ Reduces chart clutter with configurable history limits
โ Works across multiple timeframes and instruments
โ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
โ Does not provide entry/exit arrows (intentional - requires trader discretion)
โ Does not guarantee winning trades (no indicator does)
โ Does not work in isolation (combine with price action/market context)
โ Does not replace risk management (always use stop losses)
### Recommended Complementary Analysis
- Price action patterns (engulfing candles, pinbars at OTE zones)
- Volume profile or footprint charts for order flow confirmation
- Higher timeframe trend context (don't fade strong trends)
- Economic calendar awareness (avoid major news events)
---
## TECHNICAL NOTES
### Performance Optimization
- Uses max_bars_back limitation to reduce memory usage
- Automatic cleanup of old zones to prevent slowdown
- Efficient array management with configurable display limits
- Suitable for both intraday and swing trading timeframes
### Timeframe Recommendations
- **1-5 Minute:** Scalping with tight internal liquidity targets
- **15-30 Minute:** Intraday trading with session-based setups
- **1-4 Hour:** Swing trading with multi-session analysis
- **Daily:** Position trading using weekly liquidity levels
### Instrument Compatibility
Works on all liquid instruments:
- Forex pairs (optimal due to clear sessions)
- Stock index futures (ES, NQ, etc.)
- Cryptocurrency (24/7 markets - use custom session times)
- Individual stocks (less pronounced session effects)
---
## EDUCATIONAL RESOURCES
To better understand the concepts used in this indicator:
**Liquidity Concepts:**
- Study institutional order flow and stop loss hunting
- Learn about market microstructure and liquidity provision
- Understand the difference between retail and institutional trading
**Fibonacci/OTE:**
- Research Fibonacci retracements in trending markets
- Study the mathematical significance of the golden ratio (0.618)
- Practice identifying retracement entries on historical charts
**Session Trading:**
- Analyze volume profiles during different forex sessions
- Study typical price behavior during session overlaps
- Understand timezone conversions for your local trading hours
---
## VERSION HISTORY & UPDATES
This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations.
---
## DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness.
---
## SETTINGS SUMMARY
**Master Controls:** Enable/disable each major feature independently
**Repainting Controls:** Adjust confirmation requirements for signals
**Trading Sessions:** Customize session times, colors, and display options
**External Liquidity:** Configure detection sensitivity and visual styling
**Internal Liquidity:** Adjust lookback periods and threshold sensitivity
**OTE Zones:** Select which Fibonacci levels to display and entry requirements
**Alerts:** Configure notifications for sessions, sweeps, and entries
---
## SUPPORT & FEEDBACK
If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation.
Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
