Multy Dynamic POCThis script displays up to 4 independent Point of Control (POC) levels based on volume profile logic.
📌 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.
🔍 How it works:
For each active POC line, the script builds a simple volume distribution based on the candle’s 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 TradingView’s time() function).
✅ 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.
_______________________________________________________________________________
Данный индикатор отображает до 4 независимых уровней Point of Control (POC), рассчитанных по объёмам.
📌 Каждый POC можно настраивать отдельно:
Периоды: День (D), Неделя (W), Месяц (M) или BARS (скользящее окно по количеству баров).
Автоматический пересчёт при смене периода (например, новый день, неделя или месяц).
Линии POC привязаны к цене и масштабируются вместе с графиком.
Настраиваемый цвет и толщина линий.
🔍 Как работает:
Для каждой активной линии POC создаётся объёмное распределение: берется средняя цена свечи (hl2) и объем.
Диапазон цен делится на 100 уровней. Тот, где накоплено больше всего объёма, и есть POC.
В режиме BARS уровень пересчитывается каждые N баров. В режимах D/W/M — строго в начале нового периода.
✅ Подходит для:
Трейдеров, использующих объёмный анализ, но не имеющих платной подписки на Volume Profile.
Поиска уровней интереса и подтверждения сигналов.
Разработки стратегий с опорой на объём.
Cerca negli script per "volume profile"
Period Value ZonesPeriod Value Zones is designed to help traders understand where current value is being found by splitting the day into 3 key periods based on common reversal times recognized for intraday trading.
By splitting the day into 3 periods, we can more efficiently determine where short-term value lies by using only the data we consider relevant during these periods of time.
> Overview
This indicator is recommended for low timeframe trading during the New York RTH Session.
By only trading within this session, we can ensure that volume and volatility remain fairly consistent.
Within each Period, you will find on the chart:
Value Area Points from Previous period (Value High(VAH)/Value Low(VAL)/Point of Control(POC))
Volume Weighted Average Price (VWAP) Cloud, based on High and Low values during the period.
Value Zone based Potential Reversal Zones.
Additional Displays:
Potential Reversal Detection Signals with Invalidation Levels
Forward Plotted Key Market times.
> Components
• Value Area Points
VAH/VAL/POC are important volume profile points which display where the market has previously held value.
We use these specific levels as support and resistance to confirm direction by monitoring interactions between price and these important levels.
The VAH and VAL lines change colors based on price's interaction with them to confirm whether that level should be regarded as support or resistance.
• VWAP Cloud
VWAP is a common metric used to determine the strength of a trend, and provides a point to look for re-bid & re-offer.
When price breaks out of our Fixed Value zone, VWAP helps us determine further direction.
Also included is VWAP deviation bands, for traders who would prefer to view the standard deviation away from this cloud as well.
• Value Reversal Zones
These Zones are calculated based on extensions of the Period Value Zone.
While in a balanced market, these zones have been shown to provide potential reversal opportunities.
• Potential Reversal Signals
These signals are based on an advanced method for confirming a higher-low or lower-high to reasonably create a signal that is not very laggy but also rooted in sound logic.
While helpful, These are NOT buy or sell signals, and you should always use further analysis to decide the next steps to take.
When a signal appears, an associated invalidation level is also displayed, if this level is crossed the associated signal is no longer considered relevant.
• Key Market Times
These are important times within the day that normally produce volatility caused by daily market catalysts.
Each key time is forward plotted 1 hour before it occurs to provide a clear heads up for potential opportunity.
Opening Fuel: Known for having an increase in Volume after the formation of the 15min Opening Range.
1st Reversal: Common Area for seeing initial large positioning effecting the market, often causing reversals.
Initial Balance Close: End of the first hour, a common positioning tool for futures traders.
2nd Reversal: Positioning is typically reactionary to IB Close, alongside Euro Traders Exiting Positions.
Euro Close: Close of Europe Session, a common positioning tool for futures traders.
Lunch: Usually Low Volume, traders are often out to lunch.
Lunch End: Volume tends to re-enter, as traders come back from lunch.
1st Reversal: New Hour, common area to see large position re-enter the market.
Bonds Close: Bonds markets close, Equities reacting to close of the bond market.
1st MOC: Initial Market on Close orders are places, market reaction is normally expected off of MOC positioning.
MOC Close: As MOC orders are reported, volatility is likely found within the market.
> Methodology
This indicator can be used with the same principles as trading balanced volume profiles.
Rule 1: Unless the price breaks and holds Value High or Value Low, we should expect buyers and sellers to maintain the current balance.
Rule 2: If we break and push away from the Period Value High, we should treat that level as supportive on retest unless we look back below and sellers defend on retest.
Rule 3: If we break and push away from the Period Value Low, we should treat that level as resistance on retest unless we look back above and buyers defend on retest.
Rule 4: If we recover Value Low, and it becomes supportive, we look for our Period POC and Period Value High as our targets above.
Rule 5: If we fail to hold Period Value High, and it becomes resistance, we look for our Period POC and Period Value Low as targets below.
Balance in the context of this indicator is considered as the area between Period Value High and Period Value Low
Acceptance outside of balance in the context of this indicator is considered as Period Value Low or High, becoming supportive or resistance.
> Examples
Theoretical Example:
In the bullish example below, price holds VWAP and makes POC supportive, showing interest from buyers pushing to Value High.
Real-World Example:
Below is an example of the same setup as the theoretical example, taking place on a real futures chart.
By utilizing these rules, we can look for opportunities at these levels and have a plan for how we should be interacting with them.
This will help us determine likely targets and risk-off levels that are based on volume and current "value" from participants.
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 (:
Statistcal Daily Profile & Ranges# Statistical Daily Profile & Ranges - TradingView Publication Guide
## Overview
The **Statistical Daily Profile & Ranges** indicator is a comprehensive tool designed to analyze intraday session behavior and daily range characteristics. It combines Average Daily Range (ADR) projection levels with detailed session-by-session statistics and probability-based trading insights derived from historical price action patterns.
## What This Indicator Does
This indicator provides traders with three core analytical components:
1. **ADR Projection Levels** - Dynamic support/resistance levels based on historical daily ranges
2. **Session Range Analysis** - Visual boxes and statistical breakdowns for four key trading sessions
3. **Dynamic Probability Display** - Real-time probability statistics based on overnight session relationships
## How It Works
### Average Daily Range (ADR) Calculation
The indicator calculates the average daily range over a user-defined lookback period (default: 10 days) and projects this range from each day's opening price. This creates two key levels:
- **ADR High**: Opening price + average daily range
- **ADR Low**: Opening price - average daily range
- **ADR Median**: The opening price (middle of the projected range)
These levels are recalculated at the start of each trading day and extend forward, providing dynamic support and resistance zones based on recent volatility characteristics.
### Session Tracking & Statistics
The indicator monitors four distinct trading sessions (times in Eastern Time):
1. **Asia Session** (8:00 PM - 2:00 AM)
2. **London Session** (2:00 AM - 8:00 AM)
3. **NY Open** (8:00 AM - 9:00 AM)
4. **NY Initial Balance** (9:30 AM - 10:30 AM)
For each session, the indicator:
- Draws a colored box showing the session's high-to-low range
- Tracks the opening price, high, and low
- Stores historical data for statistical analysis
- Calculates average ranges by day of week (Monday through Friday)
The session statistics are displayed in a customizable table showing average point ranges for each session across different weekdays, helping traders identify which sessions and days typically produce the most movement.
### Dynamic Probability System
The indicator analyzes the relationship between the Asia and London sessions to determine the current market setup. After the London session closes, it automatically detects one of four possible conditions:
**1. London Engulfs Asia**
- London session breaks both above Asia's high AND below Asia's low
- This indicates strong momentum during the European session
- Most common occurrence pattern
**2. Asia Engulfs London**
- Asia session range completely contains the London session range
- Indicates consolidation during London hours
- Relatively rare pattern (occurs approximately 5.36% of the time)
**3. London Partially Engulfs Upwards**
- London breaks above Asia's high but stays above Asia's low
- Suggests bullish momentum continuation from Asia into London
**4. London Partially Engulfs Downwards**
- London breaks below Asia's low but stays below Asia's high
- Suggests bearish momentum continuation from Asia into London
Once a condition is detected, the indicator displays a probability table showing historically observed outcomes for that specific setup, including:
- Probability of NY session taking out key levels (Asia high/low, London high/low)
- Probability of NY session engulfing the entire overnight range
- Directional bias for NY Cash session (9:30 AM - 4:00 PM)
## How to Use This Indicator
### Initial Setup
1. Add the indicator to your chart (works on any intraday timeframe below Daily)
2. Adjust the **ADR Days** setting (default: 10) to control the lookback period for range calculation
3. Adjust the **Session Lookback Days** setting (default: 50) to determine how much historical data feeds the statistics tables
### Reading the ADR Levels
- Use the **ADR High** and **ADR Low** lines as potential profit targets or areas where price may encounter resistance
- The **ADR Median** line represents the opening price and can act as a pivot point for intraday directional bias
- If price reaches the ADR High early in the session, it suggests strong bullish momentum; conversely for ADR Low
- These levels adapt daily based on recent volatility, making them more responsive than static levels
### Interpreting Session Boxes
- **Session boxes** visually highlight when each trading session is active and its price range
- Larger boxes indicate higher volatility during that session
- Compare current session ranges to the statistical averages shown in the table
- Sessions that are unusually quiet or active relative to historical averages may signal compression or expansion
### Using the Session Statistics Table
- The table shows average point ranges for each session broken down by weekday
- Identify which sessions typically produce the most movement on specific days
- For example, if London on Thursdays averages 40 points while Mondays average 25 points, you can adjust position sizing or expectations accordingly
- The **Total** column shows the overall average across all days
- Sample sizes (shown in brackets if enabled) indicate data reliability
### Trading with the Probability Table
The probability table updates dynamically after the London session closes and shows statistically probable outcomes based on 12 years of NQ futures data.
**Important Limitations:**
- **These probabilities are derived from NQ (Nasdaq E-mini futures) data only**
- **Do NOT apply these probability statistics to other instruments** (ES, stocks, forex, etc.)
- The probabilities represent historical frequencies, not guarantees
- Always combine with your own analysis, risk management, and market context
**How to Apply the Probabilities:**
When **London Engulfs Asia**:
- Watch for NY session to take out London's extremes (72.33% probability for high, 71.12% for low)
- Slight bullish bias in NY Cash session (54.80% vs 45.20%)
- Lower probability of complete overnight engulfment (44.13%)
When **Asia Engulfs London** (rare - 5.36% occurrence):
- Higher probability NY takes Asia's high (75.86%)
- Moderately high probability NY takes Asia's low (65.52%)
- Slight increase in bullish bias (58.42% vs 41.58%)
- Recognize this as an unusual setup
When **London Partially Engulfs Upwards**:
- Very high probability NY takes London high (81.51%)
- Strong probability NY takes London low (64.45%)
- Moderate probability NY takes Asian low (53.16%)
- Slight bullish bias (55.52%)
When **London Partially Engulfs Downwards**:
- Very high probability NY takes London low (75.29%)
- Strong probability NY takes London high (68.80%)
- Moderate probability NY takes Asian high (56.44%)
- Slight bullish bias maintained (52.99%)
### Practical Trading Applications
**Scenario 1: Range Projection**
If the ADR is 500 points and the market opens at 25,000:
- ADR High: 25,500 (potential resistance/target)
- ADR Low: 24,500 (potential support/target)
- Monitor how price interacts with these levels throughout the day
**Scenario 2: Session-Based Trading**
Using the statistics table, you notice London on Wednesdays averages 35 points. During a Wednesday London session:
- If London has already moved 30 points, the session may be exhausting its typical range
- If London has only moved 15 points with an hour remaining, there may be expansion potential
- Adjust stop losses and targets based on typical session behavior
**Scenario 3: Probability-Based Setup**
It's 8:05 AM ET and the indicator shows "London Partially Engulfs Upwards":
- You now know there's an 81.51% historical probability NY will take out London's high
- There's a 53.16% probability NY will reach down to Asia's low
- The NY Cash session has a slight bullish bias (55.52%)
- Consider this alongside your technical analysis for directional bias and level targeting
## Customization Options
### Visual Settings
- **Line Width**: Adjust thickness of ADR levels
- **ADR Color/Style**: Customize appearance of ADR projection lines (solid, dashed, dotted)
- **Median Line**: Toggle visibility and customize appearance separately
- **Session Box Colors**: Customize each session's box color independently
- **Show Session Boxes**: Toggle session box visibility on/off
### Label Settings
- **ADR Labels**: Show/hide labels for ADR High and ADR Low, adjust size
- **Median Label**: Separate control for median line label
- **Session Labels**: Show/hide session name labels, adjust size
- **Label Colors**: Customize text colors for all labels
### Table Settings
- **Session Stats Table**: Position (9 locations available), size (Tiny to Huge), toggle on/off
- **Sample Sizes**: Show/hide the number of historical samples used for each calculation
- **Probabilities Table**: Separate position and size controls, toggle on/off
### Session Times
- Each session's time range can be customized to fit different markets or preferences
- All times are in Eastern Time (America/New_York timezone)
## Technical Notes
### Data Requirements
- The indicator requires sufficient historical data based on your lookback settings
- Minimum recommended: 50+ days of intraday data for reliable statistics
- Works on any timeframe below Daily (1-minute, 5-minute, 15-minute, etc.)
### Calculation Methodology
- **ADR Calculation**: Simple average of absolute daily high-low ranges
- **Session Statistics**: Mean average of ranges for each session filtered by day of week
- **Condition Detection**: Boolean logic comparing session high/low relationships
- All calculations update in real-time as new bars form
### Probability Data Source
The probability statistics displayed in the dynamic table are derived from:
- **Dataset**: 12 years of NQ (Nasdaq E-mini futures) historical data
- **Methodology**: Frequency analysis of outcomes following specific setup conditions
- **Time Period**: Multiple market cycles including various volatility regimes
**Critical Warning**: These probabilities are specific to NQ and reflect that instrument's behavior patterns. Market microstructure, participant behavior, and volatility characteristics differ significantly across instruments. Do not apply these NQ-derived probabilities to other markets (ES, RTY, YM, individual stocks, forex, commodities, etc.).
## Best Practices
1. **Combine with Other Analysis**: Use this indicator as one component of a complete trading methodology, not a standalone system
2. **Respect Risk Management**: Probabilities are not certainties; always use proper position sizing and stop losses
3. **Context Matters**: High-impact news events, holiday trading, and extreme volatility can invalidate typical patterns
4. **Verify Statistics**: Monitor your own results and compare to the displayed probabilities
5. **Adapt Session Times**: If trading instruments with different active hours, adjust session times accordingly
6. **Regular Calibration**: Periodically review if the session averages and probabilities remain relevant to current market conditions
## Understanding Originality
This indicator is original in its approach to combining three analytical frameworks into a single tool:
1. **Dynamic ADR Projection**: Unlike static pivot points, these levels adapt daily based on recent volatility
2. **Session-Specific Statistics**: Goes beyond simple volume profiles by quantifying average ranges for specific time windows across weekdays
3. **Conditional Probability Display**: Automatically detects overnight session relationships and displays relevant probability data rather than showing all scenarios simultaneously
The conditional logic system that determines which probability set to display is a key differentiator—traders only see the statistics relevant to the current market setup, reducing information overload and improving decision-making clarity.
## Summary
The **Statistical Daily Profile & Ranges** indicator provides traders with a comprehensive framework for understanding daily range potential, session-specific behavior patterns, and probability-based setup analysis. By combining ADR projection levels with detailed session statistics and dynamic probability displays, traders gain multiple perspectives on potential price movement within the trading day.
The indicator is most effective when used to:
- Set realistic profit targets based on average daily range
- Identify which sessions typically produce movement on specific weekdays
- Understand probability-weighted outcomes for different overnight setup conditions (NQ only)
- Visualize session ranges and compare them to historical averages
Remember that all statistical analysis reflects historical patterns, and market behavior can change. Always combine indicator signals with sound risk management, proper position sizing, and your own market analysis.
80% EDGE Rule - TPO Based═════════════════════════════════════════════════════════════
80% EDGE RULE - TPO BASED
═════════════════════════════════════════════════════════════
█ OVERVIEW
The 80% Edge Rule is a high-probability Market Profile concept that identifies when price is likely to traverse the prior session's Value Area. This indicator automates the detection, confirmation, and tracking of 80% EDGE Rule setups using true TPO (Time Price Opportunity) calculations—not volume profile.
When price opens outside the previous day's Value Area and then re-enters and is "accepted" back inside, there is an 80% statistical probability that price will travel to the opposite side of the Value Area. This indicator does all the heavy lifting: calculating the prior session's Value Area, detecting valid setups, confirming acceptance, and tracking progress toward the target.
█ THE 80% EDGE RULE EXPLAINED
The 80% Edge Rule is based on Market Profile theory developed by J. Peter Steidlmayer at the Chicago Board of Trade. The rule states:
❶ If price OPENS OUTSIDE the prior day's Value Area...
❷ And then ENTERS and is ACCEPTED back into the Value Area...
❸ There is an 80% chance price will rotate to the OTHER SIDE of the Value Area.
"Acceptance" is defined as price spending TWO OR MORE TPO periods (typically 30-minute blocks) inside the Value Area. This indicates that the market has accepted these prices as fair value, and the auction process will likely continue through to the opposite boundary.
BULLISH SETUP: Price opens BELOW the prior VAL → Enters and is accepted → Target is VAH
BEARISH SETUP: Price opens ABOVE the prior VAH → Enters and is accepted → Target is VAL
█ HOW THIS INDICATOR WORKS
This indicator performs several automated functions:
1. TPO VALUE AREA CALCULATION
• Analyzes the prior RTH (Regular Trading Hours) session
• Builds a true TPO distribution using 30-minute time blocks
• Each price level receives +1 TPO for each period it was touched
• Calculates POC (Point of Control) as the price with highest TPO count
• Expands from POC using the CME/CBOT standard "two-price" method until 70% of TPOs are captured
• This defines VAH (Value Area High) and VAL (Value Area Low)
2. SETUP DETECTION
• Monitors the RTH open (default 9:30 AM ET)
• Detects if price opened outside the prior Value Area
• Determines setup direction (Bullish or Bearish)
3. ACCEPTANCE MONITORING
• Tracks TPO blocks where price remains inside the Value Area
• Confirms setup when required number of blocks is reached (default: 2)
• Resets count if price exits VA before confirmation
4. TARGET & INVALIDATION TRACKING
• Monitors for target completion (opposite VA boundary)
• Monitors for invalidation (price moves beyond entry VA boundary + buffer)
• Visual feedback on outcome
█ VISUAL ELEMENTS
PRIOR VALUE AREA LINES (Dashed)
• RED DASHED LINE: Prior Day VAH (Value Area High)
• GREEN DASHED LINE: Prior Day VAL (Value Area Low)
• PURPLE DOTTED LINE: Prior Day POC (Point of Control)
TRADE LINES (Solid)
• YELLOW LINE: Entry price (where setup was confirmed)
• CYAN LINE: Target price (opposite VA boundary)
• GREEN LINE: Entry line turns green when target is hit
• GRAY LINES: Both lines turn gray if setup is invalidated
STATUS LABEL
• Floating label showing current setup state
• ORANGE "WATCHING": Setup detected, monitoring for acceptance
• YELLOW "CONFIRMED": Setup confirmed, tracking toward target
• GREEN "TARGET HIT ✓": Target successfully reached
• RED "INVALIDATED ✗": Setup failed, price moved against
DASHBOARD (Top Right Corner)
• Prior VAH: Yesterday's Value Area High
• Prior VAL: Yesterday's Value Area Low
• Prior POC: Yesterday's Point of Control
• Open Price: Today's RTH opening price
• Direction: BULLISH ↑ or BEARISH ↓
• Status: Current setup state
█ CONFIGURABLE SETTINGS
┌────────────────────────────────────────────────────────────
│ TPO SETTINGS
├────────────────────────────────────────────────────────────
│ Tick Size (Default: 0.25) │ • Price increment for TPO calculations
│ • ES/MES: 0.25
│ • NQ/MNQ: 0.25
│ • YM/MYM: 1.0
│ • RTY: 0.1 │ • CL/MCL: 0.01
│ • GC/MGC: 0.1
│
│ Value Area % (Default: 70)
│ • Percentage of TPOs to include in Value Area
│ • Standard is 70% (one standard deviation)
│ • Can adjust 50-90% based on preference
│
│ TPO Block Duration (Default: 30 minutes)
│ • Length of each TPO period
│ • Standard Market Profile uses 30-minute periods
│ • Adjust if using non-standard TPO settings
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ 80% EDGE RULE SETTINGS
├────────────────────────────────────────────────────────────
│ TPO Blocks Required for Acceptance (Default: 2)
│ • Number of 30-min periods price must stay inside VA
│ • Standard rule requires 2 periods for acceptance
│ • More conservative: Increase to 3
│ • More aggressive: Reduce to 1 (not recommended)
│
│ Invalidation Distance (Default: 10 points)
│ • Buffer beyond VA boundary before setup is invalidated
│ • Bullish: Invalidates if LOW goes below VAL minus this distance
│ • Bearish: Invalidates if HIGH goes above VAH plus this distance
│ • Adjust based on product volatility and your risk tolerance
│
│ Fade Delay (Default: 5 minutes)
│ • How long entry/target lines stay visible after outcome
│ • Lines and floating label disappear after this delay
│ • Dashboard retains the outcome status until next session
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ SESSION SETTINGS
├────────────────────────────────────────────────────────────
│ RTH Session (Default: 0930-1600)
│ • Regular Trading Hours window
│ • This determines which bars are used for TPO calculation
│ • Also determines when RTH "open" is detected
│
│ PRODUCT-SPECIFIC RTH SESSIONS:
│ • Equity Index Futures (ES, NQ, YM, RTY): 0930-1600
│ • Crude Oil (CL): 0900-1430 (pit session)
│ • Gold (GC): 0820-1330 (pit session)
│ • Treasury Bonds/Notes: 0720-1400
│ • Forex Futures: Varies by product
│
│ Timezone (Default: America/New_York)
│ • Timezone for session calculations
│ • Options: New York, Chicago, Los Angeles, UTC
│ • Use exchange timezone for accurate session detection
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ VISUAL SETTINGS
├────────────────────────────────────────────────────────────
│ Show Prior VA Lines: Toggle VAH/VAL/POC lines on/off
│ Show Entry/Target Lines: Toggle trade-related lines on/off
│ VAH Color: Color for Value Area High line
│ VAL Color: Color for Value Area Low line
│ POC Color: Color for Point of Control line
│ Entry Line Color: Color for entry price line
│ Target Line Color: Color for target price line
│ Target Hit Color: Color when target is reached (default: green)
│ Line Width: Thickness of all lines (1-5)
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ DEBUG SETTINGS
├────────────────────────────────────────────────────────────
│ Show Debug Info: Displays additional diagnostic information
│ • Session High/Low of prior day
│ • Current RTH status
│ • Current TPO block number
│ • Outcome timestamp
│ • Useful for troubleshooting or verifying calculations
└────────────────────────────────────────────────────────────
█ ALERTS
This indicator includes three configurable alerts:
① SETUP CONFIRMED
• Triggers when acceptance criteria is met
• Includes entry price and target price in alert message
② TARGET HIT
• Triggers when price reaches the opposite VA boundary
• Confirms successful completion of the 80% Rule setup
③ INVALIDATED
• Triggers when price moves beyond the invalidation threshold
• Signals that the setup has failed
To enable alerts:
1. Ensure "Enable Alerts" is checked in indicator settings
2. Right-click on the indicator → "Add Alert"
3. Select the condition you want to be alerted on
4. Configure notification method (popup, email, webhook, etc.)
█ RECOMMENDED USAGE
TIMEFRAME:
• Best used on 5-minute, 15-minute, or 30-minute charts
• The chart timeframe should divide evenly into 30 minutes
• Ensure sufficient historical bars are loaded for prior session calculation
BEST PRACTICES:
• Wait for full confirmation (2 TPO blocks inside VA) before considering entry
• Use the target line as your profit objective
• Consider the invalidation level for stop-loss placement
• Monitor the dashboard for real-time setup status
• Combine with other confluence factors (order flow, support/resistance, etc.)
IMPORTANT NOTES:
• This indicator calculates TRUE TPO-based Value Area, not volume profile
• Prior day VA is recalculated at each new session
• The 80% Rule is a statistical tendency, not a guarantee
• Always use proper risk management
█ ADJUSTING FOR DIFFERENT PRODUCTS
This indicator defaults to Equity Index Futures (ES, NQ, etc.) with:
• RTH Session: 0930-1600
• Timezone: America/New_York
• Tick Size: 0.25
FOR OTHER PRODUCTS, ADJUST:
CRUDE OIL (CL/MCL):
• RTH Session: 0900-1430
• Tick Size: 0.01
GOLD (GC/MGC):
• RTH Session: 0820-1330
• Tick Size: 0.10
TREASURY FUTURES (ZB, ZN):
• RTH Session: 0720-1400
• Tick Size: 0.03125 (ZB) or 0.015625 (ZN)
E-MINI DOW (YM/MYM):
• RTH Session: 0930-1600
• Tick Size: 1.0
RUSSELL 2000 (RTY):
• RTH Session: 0930-1600
• Tick Size: 0.10
Always verify the RTH session times and tick sizes for your specific product and exchange.
█ DISCLAIMER
This indicator is provided for educational and informational purposes only. It is not financial advice and should not be construed as a recommendation to buy or sell any financial instrument. Trading futures and other leveraged products involves substantial risk of loss and is not suitable for all investors.
Past performance is not indicative of future results. The 80% Edge Rule is a statistical observation based on Market Profile theory and does not guarantee any specific outcome. Always conduct your own analysis and use proper risk management.
Support and Resistance [Jamshid]📌 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.
✅ Core Features
🔹 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.
🔹 2. Breakouts & Retests
“Break Sup / Break Res” labels on structure breaks.
Detects when old resistance becomes support (R→S).
Detects when old support becomes resistance (S→R).
Retest labels and diamond markers for holds.
🔹 3. Volume Profile (Optional)
Shows mini horizontal volume bars at each zone.
Separate bullish/bearish volume distribution.
Adjustable rows and lookback.
🔹 4. Higher Timeframe Confluence (Optional)
Check if current S/R aligns with HTF levels:
5m, 15m, 30m, 1H, 4H, Daily
Modes:
✅ Show All + HTF Labels
✅ Filter Only HTF Confirmed Levels
HTF confirmations shown directly on zone labels.
Tolerance setting for price matching.
🔹 5. Breaker Blocks (Failed S/R Reversal Zones)
Identifies bullish/bearish breaker zones.
Highlights breaker blocks on chart.
Optional labels and zone coloring.
🎯 Visual Alerts & Signals
✅ Breakouts (Support & Resistance)
✅ Retests (Hold without breakout)
✅ Role Reversal (R→S and S→R)
✅ Potential Bullish / Bearish Breakers
✅ Diamonds for hold/retest structure
✅ Labels with volume + timeframe confirmations
Every signal also has a built-in alertcondition so you can automate notifications.
⚙️ Customizable Settings
🟢 Main
Lookback period
Volume filter length
Box width multiplier
🎨 Visual
Show or hide labels, diamonds, retest labels
Label size
🟦 Breaker Blocks
Enable/disable breaker blocks
Show zones & labels
Custom colors
📊 Volume Profile
Enable/disable
Rows, lookback length
Bull/Bear color
⏳ Higher Timeframe Filtering
Turn HTF logic on/off
Select which timeframes to compare
Filter mode or label mode
Price matching tolerance (%)
✅ Why this indicator is unique
✔ Combines price structure + volume + HTF confluence
✔ Automatically adapts S/R strength using volume data
✔ Shows role reversal and breaker logic
✔ Smart visual alerts & automation support
✔ Highly customizable for any strategy or timeframe
💡 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.
******************************************************************
⚠️ Dangers of Trading
1️⃣ You can lose money very fast
Markets move quickly, and leverage makes losses even faster. Even experienced traders go through drawdowns.
2️⃣ Emotional decisions ruin accounts
Fear (selling too early) and greed (holding too long or overtrading) cause most losses. Trading is more psychological than technical.
3️⃣ Overconfidence after small wins
Many traders win at the beginning and believe they “mastered” the market, then take big risks and blow the account.
4️⃣ No system = gambling
If you trade without clear rules and risk management, you’re not trading—you’re gambling.
5️⃣ Market is not fair
Smart money, institutions, HFT algorithms, and stop-hunts exist. Retail traders are often the liquidity for bigger players.
6️⃣ News/Unexpected events
Unpredictable events (CPI, FOMC, war, tweets, etc.) can instantly move the market against your position.
✅ Advice for Safer & Smarter Trading
✅ 1. Protect your capital first
Your number one job is to survive.
Never risk more than 1–2% per trade.
✅ 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 don’t have a plan.
✅ 3. Use Stop Loss always
No stop loss = account suicide.
Even professional traders are wrong sometimes.
✅ 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.
✅ 5. Trade with the trend and higher timeframe direction
Trading against HTF structure is fighting the market.
✅ 6. Control emotions like a machine
Biggest trader enemies:
Overtrading
Revenge trading
Fear of missing out (FOMO)
When emotions are strong → stop trading.
✅ 7. Be patient (best skill of a trader)
Sometimes the best trade is no trade.
Professional traders wait for high-probability setups.
✅ 8. Backtest and demo before using real money
If it doesn’t make money in backtesting or demo, it won’t magically work live.
✅ 9. Accept losses (they are part of the game)
Even the best traders lose. The key is small losses, big wins.
✅ 10. Keep learning forever
Market changes. What works today may not work tomorrow. Study price action, volume, psychology, risk management.
🧠 Final Truths:
✅ Trading is a business, not easy money
✅ Winning rate doesn’t matter—risk/reward matters
✅ Consistency > luck
✅ Discipline > knowledge
✅ 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 Δ (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 Δ 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 Whale Smart Money Detector52SIGNAL RECIPE Whale Smart Money Detector
◆ 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.
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◆ Key Features
• Whale Activity Detection System: Analyzes volume surges and price impacts to capture large investor movements in real-time
• Precise Volume Analysis: Distinguishes between regular volume and whale volume to track only meaningful market movements
• Market Impact Measurement: Quantifies and analyzes the real impact of whale buying/selling on the market
• Continuity Tracking: Follows market direction continuity after whale activity to confirm signal validity
• Intuitive Visualization: Easily identifies whale activity points through color bar charts and clear labels
• Trend Strength Display: Calculates and displays current market buy/sell strength in real-time in a table
• Whale Signal Filtering: Applies multiple filtering systems to detect only genuine whale activity
• Customizable Sensitivity Settings: Offers flexible parameters to adjust whale detection sensitivity according to market conditions
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◆ Understanding Signal Types
■ Whale Buy Signal
• Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price rises beyond normal volatility
• Visual Representation: Translucent blue bar coloring with "🐋Whale Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that large funds are actively buying the coin, which is likely to lead to price increases
■ Whale Sell Signal
• Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price falls beyond normal volatility
• Visual Representation: Translucent pink bar coloring with "🐋Whale Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that large funds are actively selling the coin, which is likely to lead to price decreases
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◆ Understanding Trend Analysis
■ Trend Analysis Method
• Definition: Measures current trend and strength by analyzing the ratio of up/down candles over a set period
• Visual Representation: Displayed in the table as "BUY" and "SELL" percentages, with the current trend clearly marked as "BULLISH", "BEARISH", or "NEUTRAL"
• Calculation Method:
▶ Buy ratio = (Number of up candles) / (Total analysis period)
▶ Sell ratio = (Number of down candles) / (Total analysis period)
▶ Current trend determined by the dominant ratio as "BULLISH" or "BEARISH"
■ Trend Utilization Methods
• Whale Signal Confirmation: Signal reliability increases when whale signals align with the current trend
• Reversal Point Identification: Opposing whale signals during strong trends may indicate important reversal points
• Market Strength Assessment: Understand the balance of power in the current market through buy/sell ratios
• Signal Context Understanding: Consider trend information alongside whale signals for interpretation in a broader market context
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◆ Indicator Settings Guide
■ Key Setting Parameters
• Volume Impact Factor:
▶ Purpose: Sets the minimum multiplier for immediate volume impact to be considered whale activity
▶ Lower values: Generate more signals, detect smaller whales
▶ Higher values: Fewer signals, detect only very large whales
▶ Recommended range: 2.0-4.0 (adjust according to market conditions)
• Sensitivity Factor:
▶ Purpose: Adjusts sensitivity of price movement relative to normal volatility
▶ Lower values: Increased sensitivity, more signals generated
▶ Higher values: Decreased sensitivity, only stronger price impacts detected
▶ Recommended range: 0.2-0.5 (set higher in highly volatile markets)
• Trend Analysis Period:
▶ Purpose: Sets the number of candles to calculate buy/sell ratios
▶ Lower values: More responsive to recent trends
▶ Higher values: More stable analysis considering longer-term trends
▶ Recommended range: 30-70 (adjust according to trading style)
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◆ Synergy with Other Indicators
• Key Support/Resistance Levels:
▶ Whale signals occurring near important technical levels have higher reliability
▶ Coincidence of weekly/monthly pivot points and whale signals confirms important price points
• Moving Averages:
▶ Pay attention to whale signals near key moving averages (50MA, 200MA)
▶ Simultaneous occurrence of moving average breakouts and whale signals indicates important technical events
• Volume Profile:
▶ Whale activity near high volume nodes confirms important price levels
▶ Whale signals at low volume nodes may indicate possibility of rapid price movements
• Volatility Indicators:
▶ Whale signals after periods of low volatility may mark the beginning of new market movements
▶ Whale signals after Bollinger Band contraction may be precursors to large movements
• Market Structure:
▶ Whale signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and whale activity may signal important trend changes
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◆ 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.
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※ 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
◆ 개요
52SIGNAL RECIPE Whale Smart Money Detector는 암호화폐 시장에서 고래(대형 투자자)의 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 시장에 큰 영향을 미치는 대규모 트레이딩 활동을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 모든 암호화폐 차트에 적용 가능하여 트레이더들이 언제 어디서든 대형 자금의 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 거래량 급증, 가격 변동성, 그리고 추세 강도를 종합적으로 분석하여 고래의 시장 진입과 퇴출을 정확히 포착한다는 점입니다. 일반 트레이더들이 놓치기 쉬운 대형 자금의 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
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◆ 주요 특징
• 고래 활동 감지 시스템: 거래량 급증과 가격 임팩트를 분석하여 대형 투자자의 움직임을 실시간으로 포착
• 정밀한 거래량 분석: 일반 거래량과 고래 거래량을 구분하여 의미 있는 시장 움직임만 추적
• 시장 영향력 측정: 고래의 매수/매도가 시장에 미치는 실질적 영향력을 수치화하여 분석
• 연속성 추적: 고래 활동 이후 시장 방향의 지속성을 추적하여 신호의 유효성 확인
• 직관적 시각화: 컬러 바 차트와 명확한 라벨을 통해 고래 활동 지점을 쉽게 식별
• 추세 강도 표시: 현재 시장의 매수/매도 강도를 실시간으로 계산하여 테이블에 표시
• 고래 신호 필터링: 진정한 고래 활동만 감지하도록 다중 필터링 시스템 적용
• 맞춤형 감도 설정: 시장 상황에 따라 고래 감지 감도를 조절할 수 있는 유연한 파라미터 제공
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◆ 신호 유형 이해하기
■ 고래 매수 신호
• 정의: 거래량이 평균보다 크게 증가하고, 즉각적인 거래량 충격이 크며, 가격이 정상 변동성을 초과하여 상승할 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "🐋Whale Buying Detected!" 라벨 표시
• 시장 해석: 대형 자금이 적극적으로 코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
■ 고래 매도 신호
• 정의: 거래량이 평균보다 크게 증가하고, 즉각적인 거래량 충격이 크며, 가격이 정상 변동성을 초과하여 하락할 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "🐋Whale Selling Detected!" 라벨 표시
• 시장 해석: 대형 자금이 적극적으로 코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
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◆ 추세 분석 이해하기
■ 추세 분석 방식
• 정의: 설정된 기간 동안의 상승/하락 캔들 비율을 분석하여 시장의 현재 추세와 강도를 측정
• 시각적 표현: 테이블에 "BUY"와 "SELL" 비율이 백분율로 표시되며, 현재 추세가 "BULLISH", "BEARISH" 또는 "NEUTRAL"로 명확하게 표시됨
• 계산 방식:
▶ 매수 비율 = (상승 캔들 수) / (전체 분석 기간)
▶ 매도 비율 = (하락 캔들 수) / (전체 분석 기간)
▶ 우세한 비율에 따라 "BULLISH" 또는 "BEARISH" 추세 결정
■ 추세 활용 방법
• 고래 신호 확인: 고래 신호가 현재 추세와 일치할 때 신호의 신뢰도가 높아짐
• 반전 포인트 식별: 강한 추세 속에서 발생하는 반대 방향의 고래 신호는 중요한 반전 포인트일 수 있음
• 시장 강도 평가: 매수/매도 비율을 통해 현재 시장의 세력 균형 파악
• 신호 발생 맥락 이해: 추세 정보와 고래 신호를 함께 고려하여 더 넓은 시장 컨텍스트에서 해석
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◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Volume Impact Factor (거래량 임팩트 요소):
▶ 목적: 고래 활동으로 간주할 즉각적인 거래량 충격의 최소 배수 설정
▶ 낮은 값: 더 많은 신호 생성, 작은 고래도 감지
▶ 높은 값: 더 적은 신호, 매우 큰 고래만 감지
▶ 권장 범위: 2.0-4.0 (시장 상황에 따라 조정)
• Sensitivity Factor (민감도 요소):
▶ 목적: 정상 변동성 대비 가격 변동의 민감도 조절
▶ 낮은 값: 민감도 증가, 더 많은 신호 생성
▶ 높은 값: 민감도 감소, 더 강한 가격 충격만 감지
▶ 권장 범위: 0.2-0.5 (변동성이 높은 시장에서는 높게 설정)
• Trend Analysis Period (추세 분석 기간):
▶ 목적: 매수/매도 비율을 계산할 캔들 수 설정
▶ 낮은 값: 최근 추세에 더 민감하게 반응
▶ 높은 값: 더 긴 기간의 추세를 고려하여 안정적인 분석
▶ 권장 범위: 30-70 (트레이딩 스타일에 따라 조정)
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◆ 다른 지표와의 시너지
• 주요 지지/저항 레벨:
▶ 중요한 기술적 레벨 근처에서 발생하는 고래 신호는 더 높은 신뢰도를 가짐
▶ 주간/월간 피봇 포인트와 고래 신호의 일치는 중요한 가격 지점을 확인해줌
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 고래 신호에 주목
▶ 이동평균선 돌파와 고래 신호가 동시 발생 시 중요한 기술적 이벤트 확인
• 볼륨 프로필:
▶ 높은 볼륨 노드 근처에서의 고래 활동은 중요한 가격 레벨 확인
▶ 낮은 볼륨 노드에서 발생하는 고래 신호는 급격한 가격 이동 가능성 암시
• 변동성 지표:
▶ 낮은 변동성 구간 이후 발생하는 고래 신호는 새로운 시장 움직임의 시작일 수 있음
▶ 볼린저 밴드 수축 후 발생하는 고래 신호는 큰 움직임의 전조일 수 있음
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 고래 신호는 구조 변화 암시
▶ 시장 구조 변화와 고래 활동의 일치는 중요한 트렌드 변화 신호일 수 있음
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◆ 결론
52SIGNAL RECIPE Whale Smart Money Detector는 암호화폐 시장에서 대형 투자자들의 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 모든 암호화폐 차트에 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 놓치기 쉬운 대형 자금의 흐름을 직관적으로 시각화하여 제공한다는 점입니다. 거래량 급증, 즉각적인 가격 충격, 그리고 추세 지속성을 종합적으로 분석하여 고래의 활동을 정확히 포착함으로써, 여러분은 시장을 움직이는 큰 손들과 함께할 수 있는 기회를 얻게 됩니다.
명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 시장의 방향성을 이해하는 데 도움을 줍니다. 이 강력한 도구를 여러분의 트레이딩 시스템에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 더 나은 통찰력을 얻으세요.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, 52SIGNAL RECIPE Whale Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 고래 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
52SIGNAL RECIPE Smart Money Detector : CME + Exchanges=================52SIGNAL RECIPE CME-Exchange Smart Money Detector=================
◆ 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.
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◆ Key Features
• Dual Market Confirmation: Simultaneously analyzes both CME Bitcoin futures and exchange futures charts to identify synchronized smart money activity
• Smart Volume Analysis: Uses advanced algorithms to separate buying and selling volume based on candle structure and price action
• Energy Wave Visualization: Displays smart money signals as intuitive energy waves with varying sizes reflecting signal strength
• Strength Rating System: Quantifies signal strength on a 0-100% scale, with multiple visualization levels (10%+, 40%+, 60%+, 80%+)
• Candlestick Pattern Integration: Incorporates bullish/bearish candle formations to enhance signal reliability
• Volume Spike Detection: Identifies abnormal volume increases that often accompany smart money positioning
• Trend Context Analysis: Evaluates signals in relation to current market trend for higher probability setups
• Dynamic Strength Calculation: Uses a multi-factor model considering volume ratio, buying/selling imbalance, candle structure, and trend alignment
• Transparent Signal Labeling: Displays precise strength percentage values with each signal for clear decision-making
• Real-time Institutional Flow Monitor: Tracks the footprints of large players across both regulated (CME) and crypto exchange markets
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◆ Understanding Signal Types
■ Buy Signal Energy Waves (Green)
• Definition: Detected when significant buying pressure appears simultaneously on both CME and exchange futures, typically on bearish candles
• Visual Appearance: Green circular waves below price bars, with size/opacity increasing with signal strength
• Market Interpretation: Indicates institutional buying interest even as price is declining, often preceding bullish reversals
• Signal Strength Factors:
▶ Higher buying volume relative to selling volume
▶ Above-average total volume
▶ Lower wicks on bearish candles
▶ Appearance at key support levels
▶ Coinciding with oversold conditions
■ Sell Signal Energy Waves (Red)
• Definition: Detected when significant selling pressure appears simultaneously on both CME and exchange futures, typically on bullish candles
• Visual Appearance: Red circular waves above price bars, with size/opacity increasing with signal strength
• Market Interpretation: Indicates institutional selling interest even as price is rising, often preceding bearish reversals
• Signal Strength Factors:
▶ Higher selling volume relative to buying volume
▶ Above-average total volume
▶ Upper wicks on bullish candles
▶ Appearance at key resistance levels
▶ Coinciding with overbought conditions
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◆ Signal Strength Understanding
■ The Four Strength Levels
• Level 1 (10-39%): Initial Detection
▶ Visual: Smallest energy wave
▶ Meaning: Early smart money positioning detected
▶ Usage: Early warning, prepare for possible setup
• Level 2 (40-59%): Moderate Strength
▶ Visual: Medium-small energy wave
▶ Meaning: Clearer institutional positioning
▶ Usage: Begin position planning, watch for confirmation
• Level 3 (60-79%): Strong Signal
▶ Visual: Medium-large energy wave
▶ Meaning: Significant smart money footprint
▶ Usage: High-probability setup forming, consider entry
• Level 4 (80-100%): Exceptional Strength
▶ Visual: Largest energy wave
▶ Meaning: Powerful institutional movement confirmed
▶ Usage: Highest probability setup, strong conviction entry point
■ Understanding Signal Strength Calculation
• Volume Component (0-50 points):
▶ Measures how current volume compares to recent average
▶ Maximum points when volume is 2x or higher than average
• Buy/Sell Ratio Component (0-50 points):
▶ Measures imbalance between buying and selling pressure
▶ Maximum points when ratio exceeds predefined multiplier threshold
• Advanced Weighting Factors:
▶ Candle Structure: Body size, wick length, and orientation
▶ Trend Alignment: Signal relationship to current trend
▶ Volume Spike: Abnormal volume increase detection
▶ Cross-Market Confirmation: Strength of signal alignment between CME and exchange
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◆ Practical Trading Applications
■ Reversal Trading Strategy
• Buy Signal Application:
▶ Setup: Strong buy energy wave (60%+) on a bearish candle
▶ Entry: After confirmation candle following the signal
▶ Stop Loss: Below recent low or 1 ATR below entry
▶ Take Profit: Previous resistance or 1:2 risk-reward minimum
▶ Enhancers: Signal occurring at support zone, oversold conditions, or trend line tests
• Sell Signal Application:
▶ Setup: Strong sell energy wave (60%+) on a bullish candle
▶ Entry: After confirmation candle following the signal
▶ Stop Loss: Above recent high or 1 ATR above entry
▶ Take Profit: Previous support or 1:2 risk-reward minimum
▶ Enhancers: Signal occurring at resistance zone, overbought conditions, or trend line tests
■ Trend Continuation Strategy
• During Uptrends:
▶ Focus on buy signals that appear during pullbacks
▶ Higher probability when signals occur at key moving averages or support levels
▶ Enter on strength when price shows signs of resuming the uptrend
• During Downtrends:
▶ Focus on sell signals that appear during relief rallies
▶ Higher probability when signals occur at key moving averages or resistance levels
▶ Enter on strength when price shows signs of resuming the downtrend
■ Multiple Timeframe Approach
• Signal Confirmation Across Timeframes:
▶ Major signals on higher timeframes (4H, daily) provide strategic direction
▶ Signals on lower timeframes (15m, 1H) offer tactical entry points
▶ Highest probability setups occur when signals align across multiple timeframes
• Signal Clustering:
▶ Multiple signals in the same price area significantly increase probability
▶ Look for areas where both buy and sell signals have appeared, indicating battleground zones
▶ The most recent signal direction often wins these battles
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◆ Technical Foundation
■ Why Cross-Market Confirmation Matters
• Institutional Participation:
▶ CME Bitcoin futures are dominated by regulated institutional investors
▶ Crypto exchange futures include both retail and institutional players
▶ When both markets show the same smart money pattern, the signal reliability increases dramatically
• Market Inefficiency Exploitation:
▶ Large players often position across multiple venues to minimize market impact
▶ This coordinated activity creates detectable footprints when analyzed correctly
▶ Cross-market confirmation helps filter out market noise and isolate true smart money movements
■ Smart Volume Calculation Methodology
• Price-Volume Relationship Analysis:
▶ Uses candle structure to estimate buying vs. selling volume
▶ Buying volume = Total volume × (Close - Low) / (High - Low)
▶ Selling volume = Total volume × (High - Close) / (High - Low)
• Signal Triggering Logic:
▶ Buy signal: When buying volume exceeds selling volume by multiplier factor
▶ Sell signal: When selling volume exceeds buying volume by multiplier factor
▶ Both conditions must be met simultaneously on CME and exchange futures
• Advanced Pattern Recognition:
▶ Evaluates candle body-to-range ratio for signal quality
▶ Analyzes wick length and position for additional confirmation
▶ Considers recent highs/lows to detect potential turning points
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◆ Indicator Settings Guide
■ Main Settings
• CME Bitcoin Futures Symbol:
▶ Default: CME:BTC1!
▶ Purpose: Sets the CME futures contract to analyze alongside current chart
• Buy/Sell Volume Multiplier:
▶ Default: 3.0
▶ Range: 1.0-10.0
▶ Purpose: Determines how much buying volume must exceed selling volume (or vice versa) to trigger a signal
▶ Higher values = fewer but stronger signals
▶ Lower values = more signals but potentially lower reliability
■ Volume Filter Settings
• Enable Volume Filter:
▶ Default: Enabled
▶ Purpose: When enabled, only considers candles with above-threshold volume
• Volume Average Period:
▶ Default: 20 candles
▶ Range: 5-200 candles
▶ Purpose: Sets the lookback period for calculating average volume
• Volume Threshold:
▶ Default: 150%
▶ Range: 10%-500%
▶ Purpose: Minimum volume percentage (of average) required for signal consideration
▶ Higher values focus on only the most significant volume spikes
■ Signal Visualization
• Show Signal Strength Value:
▶ Default: Enabled
▶ Purpose: Displays the exact percentage strength value with each signal
• Energy Wave Colors:
▶ Buy Energy Wave: Green (#00ff80)
▶ Sell Energy Wave: Red (#ff4040)
▶ Purpose: Customize the appearance of energy waves for visual preference
■ Advanced Settings
• Use Advanced Strength Calculation:
▶ Default: Enabled
▶ Purpose: When enabled, uses the full multi-factor model for signal strength
▶ When disabled, uses only basic volume and ratio factors
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◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Smart money signals occurring at key support/resistance significantly increase reliability
▶ Particularly powerful when signals appear at tested price levels
• Moving Averages:
▶ Signals near key moving averages (50MA, 200MA) often indicate institutional interest
▶ Moving average crosses combined with smart money signals create high-probability setups
• RSI/Momentum Indicators:
▶ Buy signals in oversold conditions increase probability of successful reversal
▶ Sell signals in overbought conditions increase probability of successful reversal
• Volume Profile:
▶ Signals occurring at high volume nodes often indicate significant turning points
▶ Low volume nodes between high volume areas can act as acceleration zones after signal triggers
• Market Structure:
▶ Smart money signals that break key market structure levels (higher highs/lows or lower highs/lows) are particularly significant
▶ Can signal the early stages of trend changes when aligned with structure breaks
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◆ 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.
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※ 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==================
◆ 개요
52SIGNAL RECIPE CME-Exchange Smart Money Detector는 CME와 암호화폐 거래소의 선물 시장을 동시에 분석하여 기관 및 스마트 머니의 움직임을 포착하는 고급 기술적 지표입니다. 이 강력한 도구는 주요 가격 움직임에 선행하는 조직적인 매수 및 매도 패턴을 감지하여 트레이더들에게 시장 방향 예측에 유리한 정보를 제공합니다.
이 지표의 독보적인 특징은 교차 시장 검증 접근법에 있습니다. CME 비트코인 선물(기관 투자자 중심)과 암호화폐 거래소 선물(광범위한 시장 참여자) 모두에서 확인을 요구함으로써, 허위 신호를 크게 줄이고 일반적으로 시장 움직임을 선도하는 고확률 스마트 머니 흔적을 식별합니다.
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◆ 주요 특징
• 듀얼 마켓 확인: CME 비트코인 선물과 거래소 선물 차트를 동시에 분석하여 동기화된 스마트 머니 활동 식별
• 스마트 볼륨 분석: 캔들 구조와 가격 행동을 기반으로 매수 및 매도 볼륨을 분리하는 고급 알고리즘 사용
• 에너지 파동 시각화: 스마트 머니 신호를 신호 강도를 반영하는 다양한 크기의 직관적인 에너지 파동으로 표시
• 강도 평가 시스템: 신호 강도를 0-100% 척도로 수치화하고 여러 시각화 레벨(10%+, 40%+, 60%+, 80%+) 제공
• 캔들스틱 패턴 통합: 신호 신뢰성을 높이기 위해 상승/하락 캔들 형성을 분석에 통합
• 볼륨 스파이크 감지: 스마트 머니 포지셔닝을 동반하는 비정상적인 볼륨 증가 식별
• 추세 맥락 분석: 현재 시장 추세와 관련하여 신호를 평가하여 높은 확률의 설정 제공
• 동적 강도 계산: 볼륨 비율, 매수/매도 불균형, 캔들 구조 및 추세 일치도를 고려하는 다중 요소 모델 사용
• 투명한 신호 라벨링: 명확한 의사 결정을 위해 각 신호와 함께 정확한 강도 백분율 값 표시
• 실시간 기관 자금 흐름 모니터: 규제된(CME) 시장과 암호화폐 거래소 시장 모두에서 대형 플레이어의 흔적 추적
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◆ 신호 유형 이해하기
■ 매수 신호 에너지 파동 (녹색)
• 정의: 일반적으로 하락 캔들에서 CME와 거래소 선물 모두에서 동시에 상당한 매수 압력이 감지될 때 발생
• 시각적 모습: 가격 바 아래에 녹색 원형 파동으로 표시되며, 신호 강도에 따라 크기/불투명도 증가
• 시장 해석: 가격이 하락하는 동안에도 기관의 매수 관심이 있음을 나타내며, 종종 상승 반전에 선행
• 신호 강도 요소:
▶ 매도 볼륨 대비 높은 매수 볼륨
▶ 평균 이상의 총 거래량
▶ 하락 캔들의 아래 꼬리
▶ 주요 지지 수준에서의 출현
▶ 과매도 조건과 일치
■ 매도 신호 에너지 파동 (적색)
• 정의: 일반적으로 상승 캔들에서 CME와 거래소 선물 모두에서 동시에 상당한 매도 압력이 감지될 때 발생
• 시각적 모습: 가격 바 위에 적색 원형 파동으로 표시되며, 신호 강도에 따라 크기/불투명도 증가
• 시장 해석: 가격이 상승하는 동안에도 기관의 매도 관심이 있음을 나타내며, 종종 하락 반전에 선행
• 신호 강도 요소:
▶ 매수 볼륨 대비 높은 매도 볼륨
▶ 평균 이상의 총 거래량
▶ 상승 캔들의 위 꼬리
▶ 주요 저항 수준에서의 출현
▶ 과매수 조건과 일치
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◆ 신호 강도 이해하기
■ 네 가지 강도 레벨
• 레벨 1 (10-39%): 초기 감지
▶ 시각적: 가장 작은 에너지 파동
▶ 의미: 초기 스마트 머니 포지셔닝 감지
▶ 활용: 초기 경고, 가능한 설정 준비
• 레벨 2 (40-59%): 중간 강도
▶ 시각적: 중간-작은 에너지 파동
▶ 의미: 더 명확한 기관 포지셔닝
▶ 활용: 포지션 계획 시작, 확인 대기
• 레벨 3 (60-79%): 강한 신호
▶ 시각적: 중간-큰 에너지 파동
▶ 의미: 중요한 스마트 머니 흔적
▶ 활용: 고확률 설정 형성, 진입 고려
• 레벨 4 (80-100%): 예외적 강도
▶ 시각적: 가장 큰 에너지 파동
▶ 의미: 강력한 기관 움직임 확인
▶ 활용: 최고 확률 설정, 강한 확신의 진입 지점
■ 신호 강도 계산 이해하기
• 볼륨 구성 요소 (0-50 포인트):
▶ 현재 볼륨이 최근 평균과 비교하여 얼마나 높은지 측정
▶ 볼륨이 평균보다 2배 이상 높을 때 최대 포인트 부여
• 매수/매도 비율 구성 요소 (0-50 포인트):
▶ 매수와 매도 압력 간의 불균형 측정
▶ 비율이 미리 정의된 배율 임계값을 초과할 때 최대 포인트 부여
• 고급 가중치 요소:
▶ 캔들 구조: 몸통 크기, 꼬리 길이 및 방향
▶ 추세 일치: 현재 추세와의 신호 관계
▶ 볼륨 스파이크: 비정상적인 볼륨 증가 감지
▶ 교차 시장 확인: CME와 거래소 간 신호 일치 강도
─────────────────────────────────────
◆ 실전 트레이딩 응용
■ 반전 트레이딩 전략
• 매수 신호 응용:
▶ 설정: 하락 캔들에서 강한 매수 에너지 파동(60%+)
▶ 진입: 신호 이후 확인 캔들 이후
▶ 손절: 최근 저점 아래 또는 진입점 아래 1 ATR
▶ 이익실현: 이전 저항 또는 최소 1:2 리스크-리워드
▶ 강화 요소: 지지 구역, 과매도 조건 또는 추세선 테스트에서 발생하는 신호
• 매도 신호 응용:
▶ 설정: 상승 캔들에서 강한 매도 에너지 파동(60%+)
▶ 진입: 신호 이후 확인 캔들 이후
▶ 손절: 최근 고점 위 또는 진입점 위 1 ATR
▶ 이익실현: 이전 지지 또는 최소 1:2 리스크-리워드
▶ 강화 요소: 저항 구역, 과매수 조건 또는 추세선 테스트에서 발생하는 신호
■ 추세 지속 전략
• 상승 추세 중:
▶ 조정 중에 나타나는 매수 신호에 집중
▶ 주요 이동평균선이나 지지 수준에서 신호가 발생할 때 확률이 높음
▶ 가격이 상승 추세를 재개할 징후를 보일 때 강도에 맞춰 진입
• 하락 추세 중:
▶ 일시적 반등 중에 나타나는 매도 신호에 집중
▶ 주요 이동평균선이나 저항 수준에서 신호가 발생할 때 확률이 높음
▶ 가격이 하락 추세를 재개할 징후를 보일 때 강도에 맞춰 진입
■ 다중 시간프레임 접근법
• 다양한 시간프레임에서의 신호 확인:
▶ 상위 시간프레임(4시간, 일봉)의 주요 신호는 전략적 방향 제공
▶ 하위 시간프레임(15분, 1시간)의 신호는 전술적 진입 지점 제공
▶ 여러 시간프레임에서 신호가 일치할 때 가장 높은 확률의 설정 발생
• 신호 클러스터링:
▶ 동일한 가격 영역에서 여러 신호가 발생하면 확률이 크게 증가
▶ 매수와 매도 신호가 모두 나타난 영역을 찾아 전투 구역 식별
▶ 이러한 전투에서는 대개 가장 최근의 신호 방향이 우세
─────────────────────────────────────
◆ 기술적 기반
■ 교차 시장 확인이 중요한 이유
• 기관 참여:
▶ CME 비트코인 선물은 규제된 기관 투자자가 주도
▶ 암호화폐 거래소 선물은 소매 및 기관 플레이어 모두 포함
▶ 두 시장이 동일한 스마트 머니 패턴을 보일 때 신호 신뢰성이 크게 증가
• 시장 비효율성 활용:
▶ 대형 플레이어들은 시장 영향을 최소화하기 위해 여러 거래소에 걸쳐 포지션을 취하는 경우가 많음
▶ 이러한 조직적인 활동은 올바르게 분석할 때 감지 가능한 흔적을 남김
▶ 교차 시장 확인은 시장 노이즈를 필터링하고 진정한 스마트 머니 움직임을 분리하는 데 도움
■ 스마트 볼륨 계산 방법론
• 가격-볼륨 관계 분석:
▶ 캔들 구조를 사용하여 매수 대 매도 볼륨 추정
▶ 매수 볼륨 = 총 볼륨 × (종가 - 저가) / (고가 - 저가)
▶ 매도 볼륨 = 총 볼륨 × (고가 - 종가) / (고가 - 저가)
• 신호 트리거 로직:
▶ 매수 신호: 매수 볼륨이 매도 볼륨을 배율 요소만큼 초과할 때
▶ 매도 신호: 매도 볼륨이 매수 볼륨을 배율 요소만큼 초과할 때
▶ 두 조건 모두 CME와 거래소 선물에서 동시에 충족되어야 함
• 고급 패턴 인식:
▶ 신호 품질을 위한 캔들 몸통-범위 비율 평가
▶ 추가 확인을 위한 꼬리 길이 및 위치 분석
▶ 잠재적 전환점을 감지하기 위해 최근 고점/저점 고려
─────────────────────────────────────
◆ 지표 설정 가이드
■ 주요 설정
• CME 비트코인 선물 심볼:
▶ 기본값: CME:BTC1!
▶ 목적: 현재 차트와 함께 분석할 CME 선물 계약 설정
• 매수/매도 볼륨 배율:
▶ 기본값: 3.0
▶ 범위: 1.0-10.0
▶ 목적: 신호를 트리거하기 위해 매수 볼륨이 매도 볼륨을 얼마나 초과해야 하는지(또는 그 반대) 결정
▶ 높은 값 = 적지만 더 강한 신호
▶ 낮은 값 = 더 많은 신호지만 잠재적으로 낮은 신뢰성
■ 볼륨 필터 설정
• 볼륨 필터 활성화:
▶ 기본값: 활성화됨
▶ 목적: 활성화되면 임계값 이상의 볼륨을 가진 캔들만 고려
• 볼륨 평균 기간:
▶ 기본값: 20 캔들
▶ 범위: 5-200 캔들
▶ 목적: 평균 볼륨 계산을 위한 룩백 기간 설정
• 볼륨 임계값:
▶ 기본값: 150%
▶ 범위: 10%-500%
▶ 목적: 신호 고려에 필요한 최소 볼륨 백분율(평균 대비)
▶ 높은 값은 가장 중요한 볼륨 스파이크에만 집중
■ 신호 시각화
• 신호 강도 값 표시:
▶ 기본값: 활성화됨
▶ 목적: 각 신호와 함께 정확한 백분율 강도 값 표시
• 에너지 파동 색상:
▶ 매수 에너지 파동: 녹색(#00ff80)
▶ 매도 에너지 파동: 적색(#ff4040)
▶ 목적: 시각적 선호도에 맞게 에너지 파동의 모양 사용자 정의
■ 고급 설정
• 고급 강도 계산 사용:
▶ 기본값: 활성화됨
▶ 목적: 활성화되면 신호 강도에 전체 다중 요소 모델 사용
▶ 비활성화되면 기본 볼륨 및 비율 요소만 사용
─────────────────────────────────────
◆ 다른 지표와의 시너지
• 지지/저항 레벨:
▶ 주요 지지/저항에서 발생하는 스마트 머니 신호는 신뢰성을 크게 높임
▶ 특히 테스트된 가격 레벨에서 신호가 나타날 때 강력함
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처의 신호는 종종 기관의 관심을 나타냄
▶ 이동평균선 교차와 스마트 머니 신호의 조합은 고확률 설정 생성
• RSI/모멘텀 지표:
▶ 과매도 조건에서의 매수 신호는 성공적인 반전 확률 증가
▶ 과매수 조건에서의 매도 신호는 성공적인 반전 확률 증가
• 볼륨 프로파일:
▶ 높은 볼륨 노드에서 발생하는 신호는 종종 중요한 전환점을 나타냄
▶ 높은 볼륨 영역 사이의 낮은 볼륨 노드는 신호 트리거 후 가속 구간으로 작용할 수 있음
• 시장 구조:
▶ 주요 시장 구조 레벨(높은 고점/저점 또는 낮은 고점/저점)을 깨는 스마트 머니 신호는 특히 중요
▶ 구조 깨짐과 일치할 때 추세 변화의 초기 단계를 알릴 수 있음
─────────────────────────────────────
◆ 결론
52SIGNAL RECIPE CME-Exchange Smart Money Detector는 규제된 선물 시장과 암호화폐 거래소 시장 모두에서 기관의 포지셔닝을 드러냄으로써 트레이더에게 강력한 우위를 제공합니다. 두 거래소에서 동기화된 신호를 요구함으로써, 시장 노이즈를 제거하고 가장 신뢰할 수 있는 스마트 머니 흔적을 식별합니다.
이 지표를 차별화하는 것은 정교한 교차 시장 검증 시스템입니다. 단일 시장의 신호에 의존하는 대신, CME와 거래소 선물 모두가 동시에 동일한 스마트 머니 패턴을 표시할 때만 트리거됩니다. 이 접근 방식은 허위 신호를 크게 줄이고 진정으로 중요한 기관 활동을 강조합니다.
직관적인 에너지 파동 시각화 시스템을 통해 다양한 강도의 신호를 쉽게 발견할 수 있으며, 투명한 백분율 평가를 통해 각 기회를 객관적으로 평가할 수 있습니다. 이러한 이중 확인된 스마트 머니 움직임에 집중함으로써, 트레이더는 기관 참가자들에 대항하기보다는 그들과 함께 포지션을 취할 수 있습니다.
가장 강력한 신호는 일반적으로 주요 시장 변곡점에서, 종종 중요한 가격 움직임 이전에 나타난다는 점을 기억하세요. 이 지표를 트레이딩 접근법에 통합함으로써, 시장 방향을 더 높은 확신으로 예측하는 데 도움이 되는 기관 포지셔닝에 대한 통찰력을 얻을 수 있습니다.
─────────────────────────────────────
※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, CME-Exchange Smart Money Detector는 보조 지표로 사용되어야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 기관 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 사용하세요.
Liquidity Break Probability [PhenLabs]📊 Liquidity Break Probability
Version: PineScript™ 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.
🚀 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
🔧 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
🔥 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
🎨 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
📖 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
✅ 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
⚠️ 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
💡 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
🔬 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
💡 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.
SMC Liquidity Engine Pro SMC Liquidity Engine Pro - Complete Trading Guide & Documentation
📊 Introduction: Understanding Smart Money Concepts
The SMC Liquidity Engine Pro is a comprehensive, institutional-grade trading indicator that brings professional Smart Money Concepts (SMC) methodology directly to your TradingView charts. This isn't just another technical indicator—it's a complete framework for understanding how institutional traders, market makers, banks, and hedge funds manipulate and move the markets.
What Makes This Different?
While most retail traders rely on lagging indicators like moving averages or RSI, this indicator reveals the real-time footprints of institutional activity. It shows you:
Where large players are accumulating or distributing positions
How they engineer liquidity to trigger retail stop losses
When they're shifting from one directional bias to another
Where price inefficiencies exist that institutions will likely revisit
The markets don't move randomly—they move based on liquidity. Understanding this fundamental truth is what separates consistently profitable traders from those who struggle. This indicator decodes that liquidity-driven behavior and presents it in clear, actionable visual signals.
The Philosophy Behind Smart Money Concepts
Smart Money Concepts is built on several core principles:
1. Liquidity is King: Price doesn't move because of patterns or indicators—it moves to collect liquidity (stop losses and pending orders). Institutions need massive liquidity to fill their large positions, so they engineer price movements to create that liquidity before making their real directional move.
2. Market Structure Reveals Intent: The way price forms highs and lows tells a story about who's in control. When structure breaks, it signals a shift in institutional positioning.
3. Inefficiencies Get Filled: When price moves too quickly in one direction, it leaves behind "fair value gaps"—areas of imbalance. Institutions frequently return to these areas to fill orders and restore balance.
4. Manipulation Precedes True Moves: The most explosive directional moves are often preceded by liquidity sweeps in the opposite direction—trapping retail traders before the real move begins.
This indicator automates the identification of all these concepts, allowing you to trade alongside the smart money rather than being their exit liquidity.
🎯 Core Features - Deep Dive
1. Market Structure Detection & Visualization
What It Is: Market structure forms the foundation of all Smart Money analysis. This indicator automatically identifies and tracks swing highs and swing lows using a sophisticated pivot detection algorithm. These aren't just any price points—they represent areas where the market showed a significant shift in supply and demand dynamics.
How It Works: The indicator uses a customizable lookback period to identify valid swing points. A swing high must have lower highs on both sides within the lookback period, and a swing low must have higher lows on both sides. This ensures that only significant structural points are marked, filtering out minor noise and consolidation.
Visual Presentation:
Bullish Structure (Cyan Lines): Horizontal lines extending from each identified swing high, showing resistance levels that price previously respected
Bearish Structure (Red Lines): Horizontal lines extending from each identified swing low, showing support levels where buying pressure emerged
Trading Application: These structure levels serve multiple purposes:
Target Zones: Previous highs become targets in uptrends; previous lows become targets in downtrends
Invalidation Levels: If expecting a bullish move, breaking below the last swing low invalidates the setup
Context for Other Signals: All BOS, CHOCH, and liquidity sweep signals gain meaning from their relationship to structure
Multi-Timeframe Anchors: Higher timeframe structure provides context for lower timeframe entries
Advanced Tip: When multiple timeframe structures align (e.g., a daily swing low coincides with a 4-hour swing low), these levels carry significantly more weight and are more likely to be defended or, when broken, lead to explosive moves.
2. Break of Structure (BOS) - Trend Confirmation
What It Is: A Break of Structure occurs when price definitively closes beyond a previous swing high (bullish BOS) or swing low (bearish BOS). This signals that the current trend maintains its momentum and is likely to continue in the same direction.
The Institutional Perspective: When institutions want to continue pushing price in a direction, they need to break through previous resistance or support. A clean BOS indicates that:
There's sufficient institutional buying/selling to overcome the supply/demand at previous structure
The trend has enough momentum to attract more participants
Stop losses above/below structure have been triggered, providing liquidity for continuation
Signal Characteristics:
Bullish BOS Label: Appears below the bar that closes above the previous swing high
Bearish BOS Label: Appears above the bar that closes below the previous swing low
Confirmation: Requires a full candle close, preventing false signals from wicks
Trading Strategies:
Trend Continuation Entries: After a BOS, wait for a pullback to a Fair Value Gap or minor structure, then enter in the direction of the break
Breakout Trading: Enter immediately on BOS confirmation with a stop below the broken structure
Momentum Confirmation: Use BOS to confirm that your existing position is aligned with institutional flow
Scaling Strategy: Add to positions on each successive BOS in trending markets
What to Watch For:
Volume: Strong BOS movements should be accompanied by above-average volume
Speed: Rapid price movement through structure suggests institutional urgency
Follow-Through: The best BOS signals see price continue strongly without immediately reversing
Higher Timeframe Alignment: BOS on higher timeframes (4H, Daily) carry more weight than lower timeframe breaks
Common Pitfalls:
Not all structure breaks are equal—BOS during ranging markets are less reliable
A BOS immediately followed by a reversal back into the range may indicate a failed breakout
During major news events, structure can be broken temporarily without institutional intent
3. Liquidity Sweep Detection - Spotting Manipulation
What It Is: Liquidity sweeps (also called "stop hunts" or "liquidity grabs") occur when price temporarily breaks beyond a key level to trigger stop losses and pending orders, then immediately reverses back. This is one of the most important concepts in SMC trading because it reveals intentional manipulation.
Why Institutions Do This: Large institutional orders can't be filled at a single price point—they need massive liquidity. The biggest pools of liquidity sit just beyond obvious highs and lows where retail traders place their stops. By briefly pushing price into these zones, institutions:
Trigger retail stop losses (creating market orders)
Activate pending buy/sell orders
Fill their large positions at favorable prices
Trap late breakout traders before reversing
Detection Methodology: The indicator identifies sweeps using multiple criteria:
Price must penetrate beyond the structural high/low (creating the sweep)
The candle must close back on the opposite side of the structure (confirming rejection)
The sweep distance is measured against ATR to distinguish manipulation from normal volatility
The sweep multiplier setting allows you to adjust sensitivity based on market conditions
Visual Indicators:
Orange Down Arrows: Mark liquidity sweeps above structural highs
Lime Up Arrows: Mark liquidity sweeps below structural lows
Liquidity Zone Boxes: Semi-transparent colored boxes highlight the exact range of the swept area
Persistent Display: Zones remain visible for several bars to maintain context
Trading Applications:
Reversal Trading: Liquidity sweeps often mark excellent reversal points. After a sweep:
Wait for the sweep to complete (candle closes back inside structure)
Look for a Change of Character signal for confirmation
Enter in the direction opposite to the sweep
Place stops beyond the sweep high/low
Target the opposite side of the range or next structural level
Continuation Filtering: Not all sweeps lead to reversals. During strong trends:
Sweeps of minor structure in a trending market often precede continuation
Use higher timeframe structure to determine if a sweep is counter-trend (likely reversal) or with-trend (likely continuation)
Entry Refinement: In ranging markets, trade from swept lows to highs and vice versa, as institutions accumulate at the extremes.
Advanced Sweep Analysis:
Double Sweeps: When both sides of a range are swept, expect a strong breakout
Sweep Rejection Quality: Fast, strong rejections of sweeps are more reliable than slow grinding returns
Timeframe Consideration: Daily timeframe sweeps are significantly more important than 15-minute sweeps
Volume Profile: Sweeps with low volume followed by high volume reversals confirm manipulation
What Makes a High-Quality Sweep Signal: ✅ Penetrates structure by at least 0.5-1x ATR
✅ Strong rejection candle (long wick, decisive close)
✅ Occurs at a higher timeframe structural level
✅ Creates a Change of Character on the following move
✅ Sweeps an obvious level where retail stops cluster
4. Change of Character (CHOCH) - Major Reversal Signals
What It Is: A Change of Character represents the most significant shift in market dynamics—when the entire structural bias of the market flips from bullish to bearish or bearish to bullish. CHOCH signals are the crown jewel of SMC trading because they identify the exact moment when institutional positioning fundamentally changes.
The Anatomy of a CHOCH: A valid CHOCH requires a specific sequence:
Established Trend: A clear directional bias with multiple BOS in one direction
Liquidity Engineering: A sweep of structure in the current trend direction (the manipulation phase)
Structural Break: Price then breaks structure in the OPPOSITE direction (the revelation phase)
This combination shows that institutions have:
Completed their accumulation/distribution at favorable prices (via the sweep)
Shifted their positioning from bullish to bearish (or vice versa)
Begun a new directional campaign
Visual Presentation:
Bullish CHOCH (Cyan Triangle Up): Appears when bearish structure is broken after a low sweep, signaling the shift to bullish control
Bearish CHOCH (Red Triangle Down): Appears when bullish structure is broken after a high sweep, signaling the shift to bearish control
Prominent Markers: Larger and more visually distinct than BOS signals, reflecting their importance
Why CHOCH Signals Are So Powerful:
Trend Reversal Identification: They mark the earliest possible confirmation of a trend change
High Win Rate: When combined with proper risk management, CHOCH signals have among the highest success rates in SMC trading
Risk-Reward Ratio: Entering at CHOCH gives you the best possible risk-reward since you're entering at the beginning of a new trend
Institutional Confirmation: The sequence of sweep + structure break proves institutional repositioning, not just retail sentiment
Trading CHOCH Signals:
The Perfect CHOCH Setup:
Identify the Sweep: Watch for a liquidity sweep of structural lows (for bullish) or highs (for bearish)
Wait for the Break: Don't enter on the sweep—wait for structure to break in the opposite direction
CHOCH Confirmation: The indicator fires the CHOCH signal—this is your entry trigger
Entry Execution:
Aggressive: Enter immediately on CHOCH confirmation
Conservative: Wait for a pullback to the first Fair Value Gap or broken structure (now turned support/resistance)
Stop Placement: Beyond the swept liquidity point
Target Selection: Previous swing in the opposite direction, or let it run to the next CHOCH
Multiple Timeframe CHOCH Strategy: The most powerful setups occur when CHOCHs align across timeframes:
Daily CHOCH: Signals major institutional trend change, target 500+ pips (Forex) or significant point moves
4H CHOCH: Confirms daily direction, provides swing trade opportunities
1H CHOCH: Offers precise entry timing within the higher timeframe trend
15M CHOCH: Used for position scaling and intraday management
Example Trade Flow:
Daily Chart: Bullish CHOCH appears after weeks of downtrend
↓
4H Chart: Wait for pullback after the daily CHOCH, then catch the 4H bullish CHOCH
↓
1H Chart: Enter on the 1H bullish CHOCH that aligns with both higher timeframes
↓
Result: You've entered at the beginning of a major trend with multiple confirmations
CHOCH Quality Grading:
A-Grade CHOCH (Highest Probability):
Occurs at major higher timeframe structure
Following a clear liquidity sweep
Volume spike on the structural break
Multiple timeframe alignment
Creates a large Fair Value Gap on the break
B-Grade CHOCH (Good Probability):
Valid sweep and structure break
Single timeframe signal
Moderate volume
Occurs at minor structure
C-Grade CHOCH (Lower Probability):
Choppy, ranging market context
Weak sweep or unclear structure
Counter to higher timeframe trend
Low volume confirmation
Common Mistakes with CHOCH Trading: ❌ Entering on the sweep instead of waiting for the structure break
❌ Ignoring higher timeframe context
❌ Taking every CHOCH regardless of quality
❌ Not waiting for pullbacks on aggressive trends
❌ Placing stops too tight, getting caught in volatility
Advanced CHOCH Concepts:
Failed CHOCH: Occasionally, what appears to be a CHOCH will fail (price reverses back into the previous trend). This often indicates:
Insufficient institutional conviction for the reversal
Fake-out to grab liquidity in the opposite direction
Need to wait for a higher timeframe CHOCH for confirmation
When a CHOCH fails, it often sets up an even stronger continuation of the original trend.
CHOCH vs BOS Decision Matrix:
If in doubt about trend direction → wait for CHOCH
If confident in trend → trade BOS continuations
After a CHOCH → next signals in the new direction are BOS
5. Fair Value Gaps (FVG) - Institutional Retracement Zones
What It Is: Fair Value Gaps represent price imbalances where the market moved so quickly that it left behind inefficient pricing. These gaps form when there's no overlap between the current candle's wick and the candle from two bars ago—a void in the price action that creates a "gap" in the order flow.
The Institutional Logic: When institutions execute large market orders, they can push price rapidly through levels without allowing normal two-way trading. This creates unfilled orders and imbalanced order books. Institutions often return to these gaps to:
Fill additional orders at more favorable prices
Allow the market to "breathe" before the next push
Create support/resistance at the gap for the next move
Restore balance to the order book
FVG Formation Criteria: This indicator uses enhanced FVG detection logic:
Bullish FVG (Upward Gap):
Current candle's low is above the high from 2 candles ago
Creates a visible gap where no trading occurred
Gap size must exceed 30% of ATR (filtering minor gaps)
Typically forms on strong bullish momentum candles
Market moved up so fast it left unfilled sell orders
Bearish FVG (Downward Gap):
Current candle's high is below the low from 2 candles ago
Creates a visible gap where no trading occurred
Gap size must exceed 30% of ATR
Typically forms on strong bearish momentum candles
Market moved down so fast it left unfilled buy orders
Visual Presentation:
Bullish FVG Zones: Semi-transparent cyan boxes extending from gap bottom to top
Bearish FVG Zones: Semi-transparent red boxes extending from gap top to bottom
Dynamic Management: Gaps automatically removed when filled or expired
Clean Display: Only active, unfilled gaps shown to prevent chart clutter
FVG Trading Strategies:
Strategy 1: FVG Retracement Entries After a CHOCH or strong BOS, wait for price to retrace into the FVG for entry:
Identify trend direction via CHOCH or BOS
Locate the nearest FVG in the direction of the trend
Set limit orders within the FVG zone
Stop loss beyond the FVG
Target the next structural level or previous swing
Strategy 2: FVG Breakout Confirmation When price breaks through an FVG without filling it:
Signals extreme institutional urgency
Indicates the move is likely to continue strongly
The unfilled gap becomes a "no-go zone" for counter-trend entries
Strategy 3: Multiple FVG Management When multiple FVGs form in sequence:
The first FVG is most likely to be filled
If price skips the first FVG, it signals exceptional strength
Sequential gaps create a "gap ladder" for scaling into positions
FVG Quality Assessment:
High-Quality FVGs (Best Trading Zones):
Large gap size (1.5x+ ATR)
Formed on high volume impulse moves
Aligned with higher timeframe structure
Created during CHOCH or strong BOS
Positioned between current price and key structure
Low-Quality FVGs (Use Caution):
Small gaps (< 0.5 ATR)
Formed during choppy, ranging conditions
Multiple overlapping gaps in the same area
Counter to higher timeframe trend
Very old gaps (50+ bars ago)
FVG Lifecycle Management:
The indicator intelligently manages FVG zones:
Gap Filling:
Bullish FVG is "filled" when price touches the bottom of the gap
Bearish FVG is "filled" when price touches the top of the gap
Filled gaps are automatically removed from the chart
Partial fills count as complete fills (institutions got their orders)
Gap Expiration:
Gaps older than the extension period (default 10 bars) are removed
This keeps the chart clean and focuses on relevant levels
Adjustable from 5-50 bars based on timeframe and trading style
Gap Priority: When multiple gaps exist, closest gap to current price is most relevant
Advanced FVG Concepts:
Nested FVGs: Sometimes FVGs form within larger FVGs. The smaller, more recent gap typically gets filled first, providing a secondary entry within the larger gap.
FVG Clusters: When 3+ FVGs stack in the same zone, this area becomes a major institutional reaccumulation zone—excellent for swing entries.
Inverted FVGs: Bullish FVGs in downtrends or bearish FVGs in uptrends can act as resistance/support where rallies/dips fail.
FVG + Liquidity Sweep Combination: The ultimate entry setup:
Liquidity sweep occurs
CHOCH confirms reversal
Price retraces into FVG created during the CHOCH move
Enter with exceptional risk-reward ratio
FVG Statistics & Probabilities:
Research on FVG behavior shows:
Approximately 70% of FVGs get filled within 20 bars
FVGs formed during CHOCH have 80%+ fill rate
Larger gaps (2x+ ATR) have lower but higher-quality fill rates
Higher timeframe FVGs are more magnetic than lower timeframe
Timeframe Considerations:
Daily FVGs:
Can remain unfilled for weeks
Major institutional zones
Often mark the absolute best entry prices for swing trades
When filled, usually result in strong reactions
4H FVGs:
Typically fill within 3-7 days
Excellent for swing trading
Balance between frequency and reliability
1H FVGs:
Usually fill within 1-3 days
Good for short-term position trading
More frequent signals
15M FVGs:
Often fill same day
Best used for intraday refinement
Should align with higher timeframe gaps
🔧 Customization & Settings Guide
Structure Detection Settings
Swing Lookback Period (3-50 bars): This is arguably the most important setting as it determines what the indicator considers "structure."
Low Values (3-7):
Identifies minor swings and frequent structure points
More BOS and CHOCH signals
Better for scalping and day trading
Risk: More false signals in choppy markets
Best for: 15M-1H charts, active traders
Medium Values (8-15):
Balanced approach capturing meaningful swings
Default setting works well for most traders
Good signal-to-noise ratio
Best for: 1H-4H charts, swing traders
High Values (16-50):
Only major structural points identified
Fewer but higher-quality signals
Cleaner charts with less noise
Better for trending markets
Best for: 4H-Daily charts, position traders
ATR Period (1-50): Controls how volatility is measured for liquidity sweep detection.
Shorter Periods (7-14):
More responsive to recent volatility changes
Better during high volatility events
May overreact to short-term spikes
Longer Periods (15-30):
Smoother, more stable volatility measurement
Better for swing trading
Reduces sensitivity to short-term noise
Liquidity Sweep Multiplier (0.5-3.0): Determines how far beyond structure price must move to qualify as a sweep.
Low Multiplier (0.5-0.9):
Catches smaller, more frequent sweeps
More signals but lower reliability
Good for scalping or high-frequency trading
Use in ranging markets
Medium Multiplier (1.0-1.5):
Balanced sensitivity
Default 1.2 works for most situations
Good signal quality
High Multiplier (1.6-3.0):
Only major, obvious sweeps detected
Fewer but very high-quality signals
Best for trending markets
Use when you want only the clearest setups
Display Options
Toggle Controls: Each component can be individually enabled/disabled:
Show Market Structure:
Turn off when chart becomes too cluttered
Essential for understanding context, generally keep ON
Disable only when you know structure from higher timeframe
Show Liquidity Zones:
Highlights swept areas with boxes
Can be disabled if you prefer cleaner charts
Keep ON when learning to spot manipulation
Show Break of Structure:
BOS labels can be disabled if trading only reversals
Keep ON for trend following strategies
Show Change of Character:
Core SMC signal, usually keep ON
Only disable if focusing purely on continuation trading
Show Fair Value Gaps:
OFF by default to prevent overwhelming new users
Turn ON once comfortable with basic structure
Can generate many zones on lower timeframes
FVG Extension Period (5-50 bars): Determines how long unfilled gaps remain displayed.
Short Extension (5-10):
Keeps charts very clean
Only shows very recent gaps
Good for day trading
May remove gaps before they fill
Medium Extension (11-25):
Balanced approach
Captures most gap fills
Good for swing trading
Long Extension (26-50):
Shows historical gap context
Better for position trading
Higher timeframe analysis
Can make charts busy on lower timeframes
Color Scheme Customization
Why Colors Matter: Visual clarity is crucial for quick decision-making. The color scheme should:
Clearly distinguish bullish vs bearish elements
Work well with your chart background (dark/light mode)
Be visible but not distracting
Match your personal preference for aesthetics
Default Colors:
Bullish: Cyan (
#00ffff) - visibility and association with "cool" buying
Bearish: Red (
#ff0051) - visibility and universal danger/selling association
FVG Bullish: 85% transparent cyan - visible but not overpowering
FVG Bearish: 85% transparent red - visible but not overpowering
Customization Tips:
Increase transparency if zones overwhelm price action
Use higher contrast colors on light backgrounds
Keep bullish/bearish colors visually distinct
Test colors across different market conditions
Optimization by Market Type
Forex (24-hour markets):
Structure Lookback: 10-15
ATR Period: 14-21
Sweep Multiplier: 1.0-1.5
Best Timeframes: 15M, 1H, 4H
Stocks (Session-based):
Structure Lookback: 8-12
ATR Period: 14
Sweep Multiplier: 1.2-1.8
Best Timeframes: 5M, 15M, 1H, Daily
Note: Gaps at market open/close aren't FVGs
Cryptocurrency (High volatility):
Structure Lookback: 12-20 (filter noise)
ATR Period: 10-14 (responsive to volatility)
Sweep Multiplier: 1.5-2.5 (larger sweeps)
Best Timeframes: 15M, 1H, 4H
Indices (Moderate volatility):
Structure Lookback: 10-15
ATR Period: 14-20
Sweep Multiplier: 1.0-1.5
Best Timeframes: 1H, 4H, Daily
📈 Complete Trading System & Strategies
The Complete SMC Trading Process
Step 1: Higher Timeframe Analysis (Daily/4H) Begin every trading session by analyzing higher timeframes:
Identify the prevailing market structure (bullish or bearish)
Mark key swing highs and lows
Note any recent CHOCHs that signal trend changes
Identify major Fair Value Gaps that could act as targets or entry zones
Determine areas of liquidity (obvious highs/lows where stops cluster)
Step 2: Trading Timeframe Setup (1H/4H) Move to your primary trading timeframe:
Wait for alignment with higher timeframe bias
Look for CHOCH signals if expecting reversal
Look for BOS signals if expecting continuation
Identify liquidity sweeps that create trading opportunities
Note nearby FVGs for entry refinement
Step 3: Entry Timeframe Execution (15M/1H) Use lower timeframe for precise entry:
After higher timeframe signal, wait for lower timeframe confirmation
Enter on FVG fills, structure breaks, or CHOCH signals
Place stop beyond swept liquidity or broken structure
Set targets at next structure level or opposite side of range
Step 4: Management Active trade management increases profitability:
Move stop to breakeven after price moves 1R (risk unit)
Take partial profits at first target (structure level)
Let remainder run to major targets
Trail stop using FVGs or structure breaks in your direction
Exit if a counter-trend CHOCH appears
High-Probability Trading Setups
Setup 1: The Classic CHOCH Reversal
Market Context:
Extended trend in one direction
Price reaching obvious highs/lows where liquidity pools
Setup Requirements:
Liquidity sweep of the high/low
CHOCH signal fires
(Optional) Wait for pullback to FVG
Entry: On CHOCH confirmation or FVG fill
Stop: Beyond swept liquidity
Target: Previous swing in opposite direction
Example (Bullish):
Market in downtrend for 2 weeks
Price sweeps below obvious daily low
Bullish CHOCH fires (breaks previous lower high)
Enter immediately or wait for pullback to bullish FVG
Stop below swept low
Target: Previous lower high, then previous high
Risk-Reward: Typically 1:3 to 1:5+
Setup 2: BOS Continuation with FVG Entry
Market Context:
Established trend with recent CHOCH
Strong momentum in trend direction
Setup Requirements:
Recent CHOCH established trend direction
BOS signal confirms continuation
Wait for pullback into FVG created on the BOS move
Entry: Limit order within FVG zone
Stop: Beyond FVG (invalid if exceeded)
Target: Next structural level
Example (Bearish):
Bearish CHOCH 2 days ago
Price makes BOS breaking new low
Large bearish FVG created during the break
Price retraces into FVG zone
Enter short at FVG fill
Stop above FVG
Target: Next major low or daily FVG below
Risk-Reward: 1:2 to 1:4
Setup 3: Liquidity Sweep Fade
Market Context:
Ranging market between defined highs/lows
Obvious liquidity on both sides of range
Setup Requirements:
Clear range established (minimum 20-30 bars)
Price sweeps one side of range (high or low)
Strong rejection back into range
Entry: After sweep rejection confirmed
Stop: Beyond swept level
Target: Opposite side of range
Example:
Range between 1.0850-1.0920 (EUR/USD)
Price sweeps above 1.0920 to 1.0935
Strong bearish rejection candle back below 1.0920
Enter short at 1.0915
Stop at 1.0940 (above sweep high)
Target: 1.0850 (range low)
Risk-Reward: 1:2.6
Setup 4: Multi-Timeframe CHOCH Alignment
Market Context:
Major trend change occurring
Multiple timeframes showing reversal signals
Setup Requirements:
Daily timeframe shows CHOCH
Wait for 4H CHOCH in same direction
Enter on 1H CHOCH that aligns
Entry: 1H CHOCH confirmation
Stop: Below 4H structure
Target: Daily structural level
Example (Bullish):
Daily bearish trend for months
Daily bullish CHOCH appears
4H shows bullish CHOCH next day
1H bullish CHOCH provides entry
Enter long on 1H signal
Stop: Below 4H swing low
Target: Daily previous high
Risk-Reward: 1:5 to 1:10+
Position: Larger size due to alignment
Setup 5: Failed CHOCH Continuation
Market Context:
Strong trend temporarily looks like reversing
"False" CHOCH creates trap for counter-trend traders
Setup Requirements:
Apparent CHOCH against main trend
Price fails to follow through
Original trend resumes with strong BOS
Entry: On BOS in original trend direction
Stop: Recent swing
Target: Extension of original trend
Example:
Strong daily uptrend
Bearish CHOCH appears (potential reversal)
Price consolidates but doesn't follow through down
Bullish BOS breaks above recent consolidation
Enter long on BOS
Stop: Below failed CHOCH low
Target: New high extension
Risk-Reward: 1:3 to 1:6
Note: Failed reversals often lead to explosive continuations
Risk Management Framework
Position Sizing: Never risk more than 1-2% of account per trade, even on A+ setups.
Risk Calculation:
Position Size = (Account Size × Risk %) / (Entry - Stop Loss in pips/points)
Example:
Account: $10,000
Risk: 1% = $100
Entry: 1.0900
Stop: 1.0870 (30 pips)
Position Size: $100 / 30 pips = $3.33 per pip
Lot Size (Forex): 0.33 lots
Stop Loss Placement:
For CHOCH Reversals:
Place stop 5-10 pips beyond swept liquidity
Gives room for volatility while protecting capital
If swept liquidity is violated, setup is invalidated
For BOS Continuations:
Place stop beyond the FVG or structure that provided entry
Typically tighter stops (closer to entry)
Can trail stop to breakeven quickly
For Range Trading:
Stop beyond the swept level
Generally tight stops work well in ranges
Exit quickly if range boundaries break
Take Profit Strategy:
Scaling Out Method (Recommended):
First Target (50% of position): First structural level (1:1 to 1:2)
Second Target (30% of position): Major structure (1:3 to 1:5)
Trail Stop (20% of position): Let run to full extension
Full Exit Method:
Hold entire position to predetermined target
Requires more discipline
Higher reward but also higher risk of giveback
Trade Management Rules:
Breakeven Rule: Move stop to breakeven after 1R profit
Partial Profit Rule: Take partials at structure levels
Trailing Rule: Trail stop
Point of Control [BigBeluga]🔵 OVERVIEW
Point of Control identifies the exact price level with the highest traded volume over a selected lookback period.
This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume.
The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action.
🔵 CONCEPTS
Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume.
Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration.
Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits.
PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor.
Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels.
🔵 FEATURES
Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC.
Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak.
Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance.
Adaptive Candle Coloring —
- Neutral → price inside PoC channel. Gray
- Bullish → price above PoC channel. Blue 🔵
- Bearish → price below PoC channel. Orange 🟠
Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference.
Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel.
Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness.
Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy.
🔵 HOW TO USE
Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level.
Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance.
Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution.
Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form.
Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity.
🔵 CONCLUSION
Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range.
It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
neeson btc bitcoin CSP-Pro+Comprehensive Description: Crypto Sentiment Pro Plus Indicator
Originality & Unique Value Proposition
Crypto Sentiment Pro Plus is an innovative, multi-dimensional sentiment analysis system that stands out from conventional market indicators through several key innovations:
Holistic 10-Factor Sentiment Model: Unlike single-dimensional indicators (RSI, MACD), this system integrates ten distinct market dimensions, providing a comprehensive view of market psychology beyond simple price action.
Advanced Machine Learning Integration: The indicator incorporates simulated neural network processing and Kalman filtering to dynamically adjust sentiment weighting, creating an adaptive model that learns from market patterns.
Multi-Market Dimension Analysis: The system uniquely combines traditional technical analysis with simulated market microstructure data (liquidity, market breadth) and social sentiment proxies, offering insights typically requiring multiple specialized indicators.
Sentiment State Machine: Implements a sophisticated state-based approach to market psychology, tracking not just current sentiment but also transition patterns, duration effects, and consistency across timeframes.
What It Does & Implementation Methodology
Primary Function: Generates a Composite Sentiment Index (0-100) representing market psychology across ten analytical dimensions, with advanced signal detection and risk management features.
Implementation Architecture:
10-Module Sentiment Engine:
Momentum Sentiment: Combines RSI, MACD, Stochastic, and Price Acceleration metrics
Volume Sentiment: Analyzes volume profiles, OBV trends, and price-volume divergence
Volatility Sentiment: Assesses ATR, Bollinger Band width, and intraday ranges
Market Structure: Evaluates moving average alignment, trend strength (ADX/DMI), and support/resistance positioning
Cycle Analysis: Incorporates seasonal and intraday temporal patterns
Extreme Detection: Identifies overbought/oversold conditions and volatility extremes
Pattern Recognition: Analyzes candlestick formations and breakout patterns
Market Breadth: Simulates advance/decline and new high/low dynamics
Liquidity Assessment: Models bid-ask spreads and order book depth
Social Sentiment: Proxies social media activity through volume and price change relationships
Advanced Processing Layer:
Neural Network Simulation: Applies weighted optimization across modules (0.12 momentum, 0.11 volume, 0.10 volatility, etc.)
Kalman Filter: Continuously refines sentiment estimation with a 0.7 gain factor
Adaptive Weighting: Dynamically adjusts module influence based on market state (extreme conditions increase weighting by 20%)
Signal Detection System:
Multi-Confirmation Framework: Requires volume, trend, and module consistency confirmation
Divergence Analysis: Detects price-sentiment divergences across multiple timeframes (20/40 periods)
Strength Grading: Classifies signals as Strong (3), Normal (2), or Weak (1) based on confirmation criteria
Core Computational Philosophy
Underlying Principle: Market sentiment is a multi-factorial psychological state that manifests across different market dimensions simultaneously. True sentiment extremes occur when multiple independent factors converge, while conflicting signals indicate market transition phases.
Key Philosophical Tenets:
Dimensional Convergence: Significant market moves require alignment across multiple sentiment dimensions. The system measures this through module consistency scoring (bullish/bearish module counts).
Asymmetric Response: The model applies greater weighting during extreme market states (greed/fear zones), recognizing that psychological factors dominate during market extremes.
Temporal Layering: Different sentiment factors operate on different timeframes—momentum (short-term), structure (medium-term), cycles (long-term). The system synthesizes these into a coherent picture.
Mean Reversion vs. Momentum Balance: The indicator dynamically balances between identifying trend continuation (momentum alignment) and reversal opportunities (extreme readings with divergence).
Practical Application for Traders
Specific Trading Methodologies Supported:
Sentiment-Based Trend Following:
Method: Combines momentum confirmation (RSI>50, MACD positive) with structural alignment (MA ordering)
Entry: When sentiment index crosses above 50 with volume confirmation and >3 bullish modules
Exit: On sentiment divergence or when extreme readings (>85) suggest exhaustion
Mean Reversion Trading:
Method: Focuses on extreme sentiment readings (<15 or >85) with technical divergence
Entry: Extreme sentiment + price-sentiment divergence + volume spike confirmation
Risk Management: Position sizing based on sentiment risk score (higher risk = smaller position)
Breakout Confirmation:
Method: Uses pattern and structure modules to validate breakout authenticity
Application: Breakout signals require >60 sentiment score and volume >120% of average
Filter: Rejects breakouts during low sentiment volatility (<5) suggesting false moves
Multi-Timeframe Sentiment Analysis:
Method: Compares daily vs. weekly sentiment for convergence/divergence
Application: Daily-weekly alignment provides high-probability directional bias
Signal: Only take positions when both timeframes agree (both >50 or both <50)
Specific Signal Types Generated:
Strong Buy/Sell Signals: Require basic signal + volume confirmation + module consistency + trend alignment + momentum confirmation
Divergence Signals: Price makes new high/low but sentiment doesn't confirm
Crossover Signals: Sentiment index crosses key thresholds (20, 30, 50, 70, 80)
Extreme Event Alerts: Sentiment reaches >90 or <10 levels indicating potential capitulation
Risk Management Integration:
Dynamic Position Sizing: Recommends 100% position at <15 sentiment, 0% at >85 sentiment
Comprehensive Risk Score: Combines sentiment risk, confidence score, and sentiment volatility
State Duration Tracking: Measures how long market remains in current sentiment state
Practical Usage Guidelines:
Primary Use: As a confirming indicator alongside price action analysis
Best Timeframes: 1-hour to daily charts for optimal signal-to-noise ratio
Market Conditions: Particularly effective during high-volatility periods and trend transitions
Pairing Suggestions: Combine with volume profile analysis and key support/resistance levels
Avoid: Using as a standalone system; always confirm with price structure and market context
This system provides traders with a nuanced understanding of market psychology across multiple dimensions, offering specific, actionable signals based on convergence/divergence principles rather than single indicator readings.
GexView📈 OVERVIEW
GexView indicator plots the Historical Gamma Exposure (GEX) profile, directly on the chart. It enables traders and analysts to observe how GEX profile evolve across multiple days/sessions.
🧲 CONCEPT
Today everybody uses Gamma Exposure. Gamma is the ROC (Rate of Change) for an option’s delta. GEX is crucial for all traders, not just intraday traders, because it helps assess market stability and potential volatility shifts driven by options positioning.
High positive GEX generally implies a mean-reverting market, where big price swings are dampened, while negative GEX signals increased volatility and potential large moves.
Understanding GEX allows traders to anticipate liquidity-driven price action, identify key support and resistance levels, and adjust strategies accordingly. In today’s market, where options flow heavily influences underlying assets, ignoring GEX can mean missing critical market dynamics that impact both short-term and long-term positions.
💡 UNIQUENESS
This indicator is a unique tool and offers a groundbreaking way to visualize market dynamics by plotting Historical Gamma Exposure (GEX), like a Volume Profile across multiple days or sessions. For the first time, traders can clearly see how GEX levels evolve over time, revealing how certain price zones gain or lose importance as market conditions change. This multi-session GEX profile allows users to identify persistent areas of dealer positioning and potential support or resistance that develop and shift over days. Unlike traditional GEX tools designed primarily for intraday use, this indicator provides valuable insight for both short-term traders and medium-term investors seeking to understand how option market flows influence price behaviour over extended periods.
⚙️ FEATURES
• Historical Gamma Exposure
The GexView indicator by default plots the last 6 days of the GEX profile, providing a framework for understanding the bigger picture.
• GEX profile
Displays the 10 largest GEX levels across all expirations (thick lines), as well as the 10 largest GEX levels for the next expiration (thin lines, 0DTE or upcoming).
• Update
Daily, after market close, based on new open interest. No more manual level imports.
Just one-click update.
• Settings
Option to plot total sum GEX for all expirations, or only net GEX for next expiration.
• Watchlist
SPX, NDX, DIA, SPY, QQQ, VIX, VXX, IBIT
(Additional tickers coming soon)
• Mapping
The indicator automatically detects and maps the underlying ticker on your chart, or lets you plot any symbol from the available watchlist.
🔍 HOW TO USE
• Identify intraday support and resistance levels shaped by option market dynamics
• Quickly spot significant GEX levels and compare how they relate to other key levels.
• Compare current vs. past GEX distributions for contextual trend analysis
• Observe structural GEX shifts that may align with volatility or mean-reversion setups
• Easily understanding if an asset trading on positive gamma (around green lines), or negative gamma (around red lines)
Examples:
1. DIA ETF
2. QQQ and VIX
📚 NOTES
• Calculation
GEX for All Expirations: This is the total sum (Call+Put) of gamma exposure of all expirations.
GEX for Nearest Expirations: This is the net sum (Call-Put) of gamma exposure of next expirations (0DTE if available).
• Trading Session - RTH & ETH
The indicator can include the extended trading hours when activated on the chart.
✅ VISUALIZATION
• Vertical implementation of gamma exposure profile.
• Thick lines represent the total gamma exposure across all expiration contracts.
• Thin lines represent the gamma exposure of next expiration only.
• All Expirations: Green colour if Calls > Puts, Red colour if Calls < Puts
• Next Expiration: Lime colour if Calls > Puts, Maroon colour if Calls < Puts
⚠️ DISCLAIMER
This indicator is provided for informational and educational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Historical Gamma patterns and analytical interpretations do not guarantee future performance.
All analysis should be combined with independent research and risk management.
Daily POC Lines - Clustered
Overview
This indicator automatically plots horizontal lines at the Point of Control (POC) for each daily candle, intelligently clustering nearby levels to reduce visual noise and highlight the most significant price zones where volume concentration occurred.
What Makes This Original
Unlike standard volume profile indicators that show static profiles for the entire chart, this script:
Calculates individual POC levels for each daily candle within a user-defined lookback period
Implements an intelligent clustering algorithm that merges POC levels within a customizable percentage threshold, preventing chart clutter from redundant lines
Dynamically highlights high-significance clusters (multiple days sharing the same POC level) with customizable visual styling
Provides granular control over line extension, label positioning, and visual appearance
How It Works
The script divides each daily candle's price range into configurable bins (default 20) and distributes the day's volume across these levels to approximate the POC. When multiple days produce POC levels within the specified clustering threshold (default 2%), they merge into a single line with a counter showing how many days share that level.
Key Features
Adjustable lookback period (1-500 candles)
Intelligent clustering with customizable threshold percentage
Separate styling controls for regular POCs vs. high-count clusters
Toggle visibility for lines and labels independently
Configurable line colors, widths, styles (solid/dashed/dotted), and extension
Date labels with cluster count indicators
Adjustable label positioning and offset
Use Cases
Traders can use clustered POC levels to:
Identify key support and resistance zones based on historical volume concentration
Recognize high-significance price levels where multiple days' POCs converge
Reduce chart clutter while maintaining visibility of important volume-based levels
Combine with other technical analysis methods for confluence
Settings
The indicator organizes inputs into four logical groups:
General Settings - Lookback period, cluster threshold, volume bins
Line Settings - Visibility, color, width, style, and extension options
Label Settings - Visibility, position, offset, and color
Cluster Highlights - Threshold and custom styling for high-count clusters
Important Notes
This script uses an approximation method for POC calculation by dividing each candle's range into bins. For maximum accuracy, use on daily timeframe charts. The clustering feature is particularly useful when analyzing longer lookback periods where many POC levels may naturally converge around similar price zones.
Technical Details
Written in Pine Script v5
Maximum 500 lines on chart
Requests daily timeframe data using security function
Uses arrays to store and manage POC data efficiently
Redraws all lines on the last bar for optimal performance
TraderDemircan Auto Fibonacci RetracementDescription:
What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features:
Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors
Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618)
Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top
Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference
Complete Customization: Individual toggle controls and color selection for each of the 16 levels
Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both)
Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point)
Optional Trend Line: Connects the two swing points to visualize the overall price movement direction
How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base):
Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak):
After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method:
The indicator uses the top-down approach where:
1.0 Level = Swing High (100% retracement, the top)
0.0 Level = Swing Low (0% retracement, the bottom)
Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high
Extension Levels (1.115 to 3.618) = Potential target zones below the swing low
Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0):
0.0 (Gray): Swing low - the base support level
0.236 (Red): Shallow retracement, first minor support
0.382 (Orange): Moderate retracement, commonly watched support
0.5 (Purple): Psychological midpoint, significant support/resistance
0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone
0.786 (Cyan): Deep retracement, last defense before full reversal
1.0 (Gray): Swing high - the initial resistance level
Extension Levels (1.115 - 3.618):
1.115 (Green): First extension, minimal downside target
1.272 (Light Green): Minor extension, common profit target
1.414 (Yellow-Green): Square root of 2, mathematical significance
1.618 (Gold - Golden Extension): Primary downside target, most watched extension level
2.0 (Orange-Red): 200% extension, psychological round number
2.382 (Pink): Secondary extension target
2.618 (Purple): Deep extension, major target zone
3.272 (Deep Purple): Extreme extension level
3.618 (Blue): Maximum extension, rare but powerful target
How to Use:For Retracement Trading (Buying Pullbacks in Uptrends):
Wait for price to make a significant move up from swing low to swing high
When price starts pulling back, watch for reactions at key Fibonacci levels
Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio)
Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels
Place stop loss below the next Fibonacci level
Target: Return to swing high or higher extension levels
For Extension Trading (Profit Targets):
After price breaks below the swing low (0.0 level), use extensions as profit targets
First target: 1.272 (conservative)
Primary target: 1.618 (golden extension - most commonly reached)
Extended target: 2.618 (for strong trends)
Extreme target: 3.618 (only in powerful trending moves)
For Counter-Trend Trading (Fading Extremes):
When price reaches deep retracements (0.786 or below), look for exhaustion signals
Watch for divergences between price and momentum indicators at these levels
Enter reversal trades with tight stops below the swing low
Target: 0.5 or 0.382 levels on the bounce
For Trend Continuation:
In strong uptrends, shallow retracements (0.236 to 0.382) often hold
Use these as low-risk entry points to join the existing trend
Failure to hold 0.5 suggests weakening momentum
Breaking below 0.618 often indicates trend reversal, not just retracement
Multi-Timeframe Strategy:
Use daily timeframe Fibonacci for major support/resistance zones
Use 4H or 1H Fibonacci for precise entry timing within those zones
Confluence between multiple timeframe Fibonacci levels creates high-probability zones
Example: Daily 0.618 level aligning with 4H 0.5 level = strong support
Settings Guide:Lookback Period (10-500):
Short (20-50): Captures recent swings, more frequent updates, suited for day trading
Medium (50-150): Balanced approach, good for swing trading (default: 100)
Long (150-500): Identifies major market structure, suited for position trading
Higher values = more stable levels but slower to adapt to new trends
Pivot Sensitivity (1-20):
Controls how many candles are required to confirm a swing point
Low (1-5): More sensitive, identifies minor swings (default: 5)
High (10-20): Less sensitive, only major swings qualify
Use higher sensitivity on lower timeframes to filter noise
Individual Level Toggles:
Enable only the levels you actively trade to reduce chart clutter
Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618
Comprehensive setup: Enable all levels for maximum information
Visual Customization:
Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading
Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary
Price Labels: Essential for knowing exact entry/exit prices
Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at
Extension Direction: Extend right for forward-looking analysis, left for historical context
What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from:
Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation
Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools
Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse
Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order
Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection)
Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity
Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are
Important Considerations:
Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance
Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels
Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing
Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines)
Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels
Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots
Best Practices:
Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume)
Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels
Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk
Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level
Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone
Respect the 0.618: This golden ratio level is historically the most reliable for reversals
Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low
Optimal Timeframes:
Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only
Day Trading (15m-1H): Lookback 50-100, all retracement levels important
Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions
Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning
Common Fibonacci Trading Mistakes to Avoid:
Wrong Swing Selection: Choosing insignificant swings produces meaningless levels
Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation
Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends
Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors
Static Analysis: Not updating your Fibonacci as market structure evolves
Arbitrary Lookback: Using the same lookback period for all assets and timeframes
Integration with Other Tools:Fibonacci + Moving Averages:
When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support
Price bouncing from both Fibonacci and MA simultaneously = high-probability trade
Fibonacci + RSI/Stochastic:
Oversold indicators at 0.618 or deeper retracements = strong buy signal
Overbought indicators at swing high (1.0) = potential reversal warning
Fibonacci + Volume Profile:
High-volume nodes aligning with Fibonacci levels create robust support/resistance
Low-volume areas near Fibonacci levels may see rapid price movement through them
Fibonacci + Trendlines:
Fibonacci retracement level + ascending trendline = double support
Breaking both simultaneously confirms trend change
Technical Notes:
Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period
Implements dynamic line and label arrays for clean redraws without memory leaks
All calculations update in real-time as new bars form
Extension options allow customization without modifying core code
Format.mintick ensures price labels match the symbol's minimum price increment
Tooltip on swing markers shows exact price values for precision
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
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中文描述
SCTI - D14是一个先进的多组件技术分析指标，专为专业交易者和分析师设计。这个综合套件将多种分析工具整合到一个强大的指标中，在各种时间框架和方法论中提供深度市场洞察。
核心组件：
1. EMA系统（指数移动平均线）
13条可定制EMA线，周期从8到2584
基于斐波那契的周期（8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584）
颜色编码可视化，便于趋势识别
每条EMA线的独立切换控制
2. TFMA（多时间框架移动平均线）
跨时间框架分析，包含3个独立的EMA计算
实时标签显示趋势方向和价格关系
每个移动平均线的可定制时间框架
显示与当前价格的百分比偏差
3. PMA（精密移动平均云）
7层移动平均系统，周期可定制
移动平均线间填充区域用于趋势可视化
支撑阻力区域识别
动态颜色编码趋势云
4. VWAP（成交量加权平均价格）
多个锚点（交易时段、周、月、季、年、财报、分红、拆股）
标准差带用于波动性分析
自动时段检测和锚定
统计价格水平识别
5. 高级背离检测器
12个技术指标用于背离分析（MACD、RSI、随机指标、CCI、威廉姆斯%R、Bias、动量、OBV、VW-MACD、CMF、MFI、外部指标）
常规和隐藏背离检测
看涨看跌信号配视觉确认
可定制敏感度和过滤选项
背离形成的实时警报
6. 成交量分布与节点分析
全面的成交量分布分析
控制点（POC）识别
价值区域高/低点（VAH/VAL）计算
成交量峰值和低谷检测
基于成交量的支撑阻力水平
7. 聪明钱概念
市场结构分析，包括结构突破（BOS）和结构转变（CHoCH）
内部和摆动结构检测
等高等低识别
公允价值缺口（FVG）检测和可视化
流动性区域和机构资金流分析
8. 交易时区
9个主要交易时段（亚洲、悉尼、东京、上海、香港、欧洲、伦敦、纽约、纽交所）
实时时段状态和倒计时器
时段成交量和表现跟踪
可定制时段框和标签
统计时段分析表格
主要特性：
模块化设计：可独立启用/禁用任何组件
实时分析：随市场数据实时更新
多时间框架支持：适用于所有图表时间框架
可定制警报：为任何检测到的模式或信号设置警报
专业可视化：清洁、有序的显示界面，颜色可定制
性能优化：高效代码确保图表流畅运行
使用场景：
趋势分析：使用多重EMA系统识别市场方向
入场/出场点：利用背离和结构突破进行时机选择
风险管理：利用成交量分布和时段分析进行更好定位
多时间框架分析：在不同时间框架间确认信号
机构分析：跟踪聪明钱流向和市场结构
适用于：
寻求全面市场分析的日内交易者
需要多时间框架确认的摆动交易者
需要详细市场结构洞察的专业分析师
寻求系统化信号生成的算法交易者
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
◆ 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.
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◆ Key Features
• Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
• Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
• Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
• Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
• Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
• Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
• Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
• Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
• Customizable Settings: Allows customization of key parameters to match your trading style
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◆ Understanding Signal Types
■ Institutional Buy Signal
• Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
• Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
• Signal Strength Factors:
▶ Consecutive price increase patterns
▶ Above-average volume
▶ Strong upward trend strength measurement
▶ Significant price movement
■ Institutional Sell Signal
• Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
• Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
• Signal Strength Factors:
▶ Consecutive price decrease patterns
▶ Above-average volume
▶ Strong downward trend strength measurement
▶ Significant price movement
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◆ Understanding Trend Strength
■ Trend Strength Measurement Method
• Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
• Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
• Strength Threshold: Strong/weak determination according to user-configurable threshold
• Calculation Method:
▶ Upward trend strength = (Number of upward candles) / (Total analysis period)
▶ Downward trend strength = (Number of downward candles) / (Total analysis period)
▶ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
■ Utilizing Trend Strength
• Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
• Trend Confirmation: Evaluates the health and sustainability of the current market trend
• Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
• Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
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◆ Practical Trading Applications
■ Institutional Buy Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional buy signal during a downtrend
▶ Entry: Buy after signal confirmation in the next candle
▶ Stop Loss: Below the low of the signal candle
▶ Take Profit: When reaching previous major resistance or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional buy signal after correction in an uptrend
▶ Entry: Buy after signal confirmation
▶ Stop Loss: Below recent major low
▶ Take Profit: Gradually take profits considering trend strength
■ Institutional Sell Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional sell signal during an uptrend
▶ Entry: Sell after signal confirmation in the next candle
▶ Stop Loss: Above the high of the signal candle
▶ Take Profit: When reaching previous major support or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional sell signal after bounce in a downtrend
▶ Entry: Sell after signal confirmation
▶ Stop Loss: Above recent major high
▶ Take Profit: Gradually take profits considering trend strength
■ Multi-Timeframe Approach
• Higher Timeframe Direction Confirmation:
▶ Check institutional signals and trend strength on daily/4-hour charts
▶ Use for setting main trading direction
• Lower Timeframe Entry Point Finding:
▶ Wait for lower timeframe signals that align with higher timeframe direction
▶ Use for capturing precise entry points
• Cross-Timeframe Signal Alignment:
▶ Signal strength increases when signals occur in the same direction across multiple timeframes
▶ Capture high-probability trading opportunities
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◆ Indicator Settings Guide
■ Main Setting Parameters
• Institutional Continuity Period:
▶ Purpose: Sets the period to check institutional consecutive buying/selling activity
▶ Lower value: Generates more signals, increases responsiveness
▶ Higher value: Reduces number of signals, increases reliability
• Trend Strength Threshold:
▶ Purpose: Sets the minimum threshold for determining strong trends
▶ Lower value: More signals, less filtering
▶ Higher value: Generates signals only in stronger trends, higher filtering
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◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Institutional signals occurring at key support/resistance levels have higher probability
▶ Combination of key technical analysis levels and institutional activity provides powerful signals
• Moving Averages:
▶ Pay attention to institutional signals near key moving averages (50MA, 200MA)
▶ Strong trend change possibility when moving average crossovers coincide with institutional signals
• RSI/Momentum Indicators:
▶ Institutional buy signals in oversold conditions increase reversal probability
▶ Institutional sell signals in overbought conditions increase reversal probability
• Volume Profile:
▶ Institutional signals at high volume nodes confirm important price levels
▶ Institutional activity in key trading areas greatly impacts price direction
• Market Structure:
▶ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and institutional activity indicates important trend turning points
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◆ 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.
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※ 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
◆ 개요
Coinbase Institutional Smart Money Detector는 코인베이스 프라임(Coinbase Prime)을 통한 기관 투자자들의 현물 비트코인 매수/매도 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 대형 기관들의 자금 흐름을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하여 트레이더들이 언제 어디서든 기관의 "스마트 머니" 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 코인베이스 데이터를 실시간으로 분석하여 기관 투자자들의 연속적인 매매 행동, 거래량 패턴, 그리고 추세 강도를 종합적으로 평가한다는 점입니다. 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
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◆ 주요 특징
• 코인베이스 프라임 데이터 분석: 기관 전용 서비스인 코인베이스 프라임의 데이터를 실시간으로 추적하여 기관의 움직임 포착
• 실시간 기관 자금 흐름 모니터링: 대형 기관들의 현물 매수/매도 활동을 즉각적으로 감지하여 시장에 앞서 포지셔닝 가능
• 모든 거래소 호환성: 어떤 거래소의 비트코인 차트에도 적용 가능하여 선호하는 트레이딩 플랫폼에서 활용 가능
• 기관 연속성 분석: 연속적인 매수/매도 패턴을 추적하여 기관의 지속적인 활동 식별
• 스마트 볼륨 분석: 평균 대비 거래량 증가를 감지하고 주요 거래 시간대를 분석
• 추세 강도 측정: 캔들 패턴을 분석해 상승/하락 추세의 강도를 수치화하여 표시
• 직관적 시각화: 바 컬러링과 라벨을 통해 기관 활동 지점을 차트에 명확하게 표시
• 실시간 강도 표시: 현재 추세의 강도를 실시간으로 계산하여 테이블에 표시
• 사용자 정의 설정: 주요 매개변수를 조정하여 자신의 트레이딩 스타일에 맞게 커스터마이징 가능
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◆ 신호 유형 이해하기
■ 기관 매수 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매수 활동을 보이며, 이와 함께 거래량 증가와 강한 상승 추세가 나타날 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "Institution Buying Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 상승 패턴
▶ 평균보다 높은 거래량
▶ 강한 상승 추세 강도 측정값
▶ 유의미한 가격 변동
■ 기관 매도 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매도 활동을 보이며, 이와 함께 거래량 증가와 강한 하락 추세가 나타날 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "Institution Selling Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 하락 패턴
▶ 평균보다 높은 거래량
▶ 강한 하락 추세 강도 측정값
▶ 유의미한 가격 변동
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◆ 추세 강도 이해하기
■ 추세 강도 측정 방식
• 정의: 최근 일정 기간 동안의 상승/하락 캔들 비율을 분석하여 추세의 강도를 측정
• 시각적 표현: 테이블에 "BULL STRENGTH" 또는 "BEAR STRENGTH"로 표시되며, 백분율 값과 함께 "STRONG" 또는 "WEAK" 상태 표시
• 강도 임계값: 사용자가 설정 가능한 임계값에 따라 강함/약함 판정
• 계산 방식:
▶ 상승 추세 강도 = (상승 캔들 수) / (전체 분석 기간)
▶ 하락 추세 강도 = (하락 캔들 수) / (전체 분석 기간)
▶ 강도가 임계값 이상일 때 "STRONG", 미만일 때 "WEAK"로 표시
■ 추세 강도의 활용
• 신호 필터링: 추세 강도가 강할 때만 신호를 생성하여 허위 신호 감소
• 추세 확인: 현재 시장 추세의 건전성과 지속 가능성 평가
• 진입/퇴출 결정: 강한 추세에서 진입하고 약한 추세로 전환될 때 퇴출 고려
• 리스크 관리: 약한 추세에서는 포지션 크기를 줄이고, 강한 추세에서는 늘리는 전략 수립 가능
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◆ 실전 트레이딩 응용
■ 기관 매수 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 하락 추세 중 강한 기관 매수 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매수
▶ 손절: 신호 캔들의 저점 아래
▶ 이익실현: 이전 주요 저항선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 상승 추세 중 조정 후 기관 매수 신호 발생
▶ 진입: 신호 확인 후 매수
▶ 손절: 최근 주요 저점 아래
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 기관 매도 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 상승 추세 중 강한 기관 매도 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매도
▶ 손절: 신호 캔들의 고점 위
▶ 이익실현: 이전 주요 지지선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 하락 추세 중 반등 후 기관 매도 신호 발생
▶ 진입: 신호 확인 후 매도
▶ 손절: 최근 주요 고점 위
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 다중 시간프레임 접근법
• 상위 시간프레임 방향성 확인:
▶ 일봉/4시간봉에서 기관 신호 및 추세 강도 확인
▶ 주 트레이딩 방향 설정에 활용
• 하위 시간프레임 진입점 찾기:
▶ 상위 시간프레임 방향과 일치하는 하위 시간프레임 신호 대기
▶ 정밀한 진입점 포착에 활용
• 시간프레임 간 신호 일치 확인:
▶ 여러 시간프레임에서 동일한 방향의 신호가 발생할 때 신호 강도 증가
▶ 높은 확률의 트레이딩 기회 포착
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◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Institutional Continuity Period (기관 연속성 확인 기간):
▶ 목적: 기관의 연속적인 매수/매도 활동을 확인할 기간 설정
▶ 낮은 값: 더 많은 신호 생성, 반응성 증가
▶ 높은 값: 신호 수 감소, 신뢰성 증가
• Trend Strength Threshold (추세 강도 임계값):
▶ 목적: 추세가 강하다고 판단할 최소 임계값 설정
▶ 낮은 값: 더 많은 신호, 낮은 필터링
▶ 높은 값: 더 강한 추세에서만 신호 생성, 높은 필터링
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◆ 다른 지표와의 시너지
• 지지/저항 레벨:
▶ 주요 지지/저항 레벨에서 발생하는 기관 신호는 확률이 더 높음
▶ 기술적 분석의 핵심 레벨과 기관 활동의 결합은 강력한 시그널 제공
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 기관 신호 주목
▶ 이동평균선 돌파와 기관 신호가 일치할 때 강한 추세 변화 가능성
• RSI/모멘텀 지표:
▶ 과매수/과매도 상태에서 발생하는 기관 신호는 반전 가능성 높임
▶ 모멘텀 다이버전스와 기관 신호의 일치는 강력한 반전 신호
• 볼륨 프로파일:
▶ 높은 볼륨 노드에서 발생하는 기관 신호는 중요한 가격 레벨 확인
▶ 주요 거래 영역에서의 기관 활동은 가격 방향에 큰 영향 미침
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 기관 신호는 구조 변화 암시
▶ 시장 구조 변화와 기관 활동의 일치는 중요한 추세 전환점 표시
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◆ 결론
Coinbase Institutional Smart Money Detector는 코인베이스 프라임을 통한 기관 투자자들의 현물 비트코인 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 직관적으로 시각화하여 제공한다는 점입니다. 연속적인 가격 움직임, 거래량 증가, 그리고 추세 강도를 종합적으로 분석하여 기관의 활동을 포착함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
코인베이스 프라임 데이터를 기반으로 한 명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 신속하게 전략적 결정을 내릴 수 있게 도와줍니다. 이 강력한 도구를 여러분의 트레이딩 전략에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 그에 따라 포지셔닝할 수 있는 경쟁 우위를 확보하세요.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, Institutional Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 기관 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
52SIGNAL RECIPE CME Gap Support & Resistance Detector═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ 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.
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◆ Key Features
• 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
• 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)
• Real-time Role Switching: Automatically changes colors as price moves above/below gaps, visualizing support↔resistance role transitions
• Status Tracking System: Automatically tracks whether gaps are "Filled" or "Unfilled"
• Dynamic Boxes: Clearly marks gap areas with boxes and dynamically changes colors based on price movement
• Precise Labeling: Accurately displays the price range of each gap to support trader decision-making
• Smart Filtering: Improved algorithm that solves consecutive gap detection issues for complete gap tracking
• 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
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◆ User Guide: Understanding Gap Roles Through Colors
■ Color System Interpretation
• Blue Gaps (Support Role):
▶ Meaning: Current price is above the gap, making the gap act as support
▶ Trading Application: Consider buying opportunities when price approaches blue gap areas
▶ Psychological Meaning: Buying pressure likely to increase at this price level
• Red Gaps (Resistance Role):
▶ Meaning: Current price is below the gap, making the gap act as resistance
▶ Trading Application: Consider selling opportunities when price approaches red gap areas
▶ Psychological Meaning: Selling pressure likely to increase at this price level
• Gray Gaps (Filled Gaps):
▶ Meaning: Price has completely passed through the gap area, filling the gap
▶ Reference Value: Still valuable as reference for past important reaction zones
▶ Trading Application: Used to confirm trend strength and identify key psychological levels
■ Understanding Color Transitions
• Blue → Red Transition:
▶ Meaning: Price has fallen below the gap, changing its role from support to resistance
▶ Market Interpretation: Breakdown of previous support strengthens bearish signals
▶ Trading Application: Consider potential further decline; check gap bottom as resistance during bounces
• Red → Blue Transition:
▶ Meaning: Price has risen above the gap, changing its role from resistance to support
▶ Market Interpretation: Breakout above previous resistance strengthens bullish signals
▶ Trading Application: Consider potential further rise; check gap top as support during pullbacks
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◆ Practical Application Guide
■ Basic Trading Scenarios
• Blue Gap Support Strategy:
▶ Entry Point: When price approaches the top of a blue gap and forms a bounce candle
▶ Stop Loss: Below the gap bottom (if price completely breaks down through the gap)
▶ Take Profit: Previous swing high or next resistance level above
▶ Probability Enhancers: Gap aligned with major moving averages, oversold RSI, strong bounce candle pattern
• Red Gap Resistance Strategy:
▶ Entry Point: When price approaches the bottom of a red gap and forms a rejection candle
▶ Stop Loss: Above the gap top (if price completely breaks up through the gap)
▶ Take Profit: Previous swing low or next support level below
▶ Probability Enhancers: Gap aligned with major moving averages, overbought RSI, strong rejection candle pattern
■ Advanced Pattern Applications
• Multiple Gap Cluster Identification:
▶ Several gaps in close price proximity form extremely powerful support/resistance zones
▶ Same-color gap clusters: Very strong single-direction reaction zones
▶ Mixed-color gap clusters: High volatility zones with bidirectional reactions expected
• Gap Sequence Analysis:
▶ Consecutive same-direction gaps: Strong trend confirmation signal
▶ Increasing gap size pattern: Trend acceleration signal
▶ Decreasing gap size pattern: Trend weakening signal
• News/Indicator Release Gap Utilization:
▶ Gaps formed immediately after economic indicators: Measure market shock intensity
▶ Gap color change observation: Track market reinterpretation of news
▶ Gap filling speed analysis: Evaluate news impact duration
• Key Attention Points:
▶ Pay special attention to the chart whenever price approaches gap areas
▶ Gap color changes signal important market sentiment shifts
▶ Areas with multiple concentrated gaps are likely to show strong price reactions
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◆ Technical Foundation
■ CME Gap Formation Principles
• Key Gap Formation Scenarios:
▶ Weekend Closures (Friday close → Monday open): Most common CME gap formation point
▶ Holiday Closures: Gaps occurring due to CME closures on US holidays
▶ Weekday 1-hour Maintenance: Gaps during daily CME maintenance period (16:00-17:00 CT)
▶ Major Economic Indicator Releases: Gaps from rapid price changes during US employment reports, FOMC decisions, CPI releases, etc.
▶ Significant News Events: Gaps from regulatory announcements, geopolitical events, market shocks, etc.
• Psychological Importance of Gaps:
▶ Zones where price formation did not occur, representing imbalance between buying/selling forces
▶ Gap areas have no actual trading, resulting in accumulated potential orders
▶ Reflect institutional investor positions and liquidity distribution in the CME futures market
■ Support/Resistance Mechanism
• Psychological Level Formation Mechanism:
▶ Unexecuted order accumulation in gap areas: Loss of ordering opportunity at those price levels
▶ Liquidity imbalance: No trading occurred in gap areas, creating liquidity voids
▶ Institutional activity: Institutional participants in CME futures markets pay attention to these gap areas
• Evidence of Support/Resistance Function:
▶ Statistical gap fill phenomenon: Most gaps eventually "fill" (price returns to gap area)
▶ Gap-based reactions: Increased frequency of price reactions (bounces/rejections) when reaching gap areas
▶ Market psychology impact: Influences traders' perceived value and fair price assessment
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◆ Advanced Configuration Options
■ Visualization Settings
• Show Gap Labels (Default: On)
▶ On: Displays price ranges of each gap numerically for precise support/resistance level identification
▶ Off: Hides labels for visual cleanliness
• Color Settings
▶ Filled Gap Color: Gray tones, shows gaps already traversed by price
▶ Unfilled Gap Color - Support: Blue, shows gaps currently acting as support
▶ Unfilled Gap Color - Resistance: Red, shows gaps currently acting as resistance
■ Data Management Settings
• Filled Gap Storage Limit (Default: 10)
▶ Sets maximum number of filled gaps to retain on chart
▶ Recommended settings: Short-term traders (5-8), Swing traders (8-12), Position traders (10-15)
• Maximum Gap Retention Period (Default: 12 months)
▶ Sets period after which old unfilled gaps are automatically removed
▶ Recommended settings: Short-term analysis (3-6 months), Medium-term analysis (6-12 months), Long-term analysis (12-24 months)
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◆ Synergy with Other Indicators
• Volume Profile: Greatly increased reaction probability when CME gaps align with Volume Profile value areas
• Fibonacci Retracements: Formation of powerful reaction zones when major Fibonacci levels coincide with gap areas
• Moving Averages: Areas where major moving averages overlap with CME gaps act as "composite support/resistance"
• Horizontal Support/Resistance: Very strong price reactions expected when historical key price levels align with CME gaps
• Market Sentiment Indicators (RSI/MACD): Assess reaction probability by checking oversold/overbought conditions when price approaches gap areas
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◆ 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 (blue→red or red→blue) as signals of important market sentiment changes and integrating them into trading strategies, traders can capture higher-probability trading opportunities.
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※ 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.
═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ 개요
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 CME 비트코인 선물 시장에서 발생하는 모든 유형의 가격 갭(Gap)을 자동으로 감지하여 트레이딩 차트에 시각화하는 고급 기술적 지표입니다. 주말과 공휴일 휴장은 물론, 평일 1시간 휴장 시간, 그리고 중요 경제지표 발표나 뉴스 이벤트 시 발생하는 급격한 가격 갭까지 누락 없이 포착합니다.
이 인디케이터의 핵심 가치는 단순히 갭을 표시하는 것을 넘어, 이러한 가격 불연속성이 미래 가격 움직임에 영향을 미치는 강력한 지지(Support)와 저항(Resistance) 영역으로 작용한다는 원리를 시각화하는 데 있습니다. 실제 시장에서 이러한 CME 갭은 높은 확률로 미래에 "매꿔지거나" 중요한 반응 구간으로 기능하여 트레이더에게 귀중한 진입/퇴출 신호를 제공합니다.
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◆ 주요 특징
• 전방위 갭 감지: 모든 시장 조건에서 발생하는 갭을 감지
- 주말/공휴일 휴장 갭
- 평일 1시간 휴장 시간 갭
- 경제지표/뉴스 이벤트 시 급격한 가격 변동 갭
• 직관적 색상 구분:
- 파란색: 갭이 지지 역할을 할 때(가격이 갭 위에 있을 때)
- 빨간색: 갭이 저항 역할을 할 때(가격이 갭 아래에 있을 때)
- 회색: 이미 매꿔진 갭(가격이 갭 영역을 완전히 통과)
• 실시간 역할 전환: 가격이 갭 위/아래로 이동함에 따라 지지↔저항 역할 전환을 자동으로 색상 변경으로 시각화
• 상태 추적 시스템: 갭이 "매꿔짐(Filled)" 또는 "매꿔지지 않음(Unfilled)" 상태를 자동 추적
• 다이나믹 박스: 갭 영역을 명확한 박스로 표시하고 가격 움직임에 따라 동적으로 색상 변경
• 정밀 레이블링: 각 갭의 가격 범위를 정확히 표시하여 트레이더의 의사결정 지원
• 스마트 필터링: 연속적 갭 감지 문제를 해결하는 개선된 알고리즘으로 누락 없는 갭 추적
• 핵심 활용 포인트:
- 가격이 갭 영역에 접근할 때 특별히 주목하세요
- 갭 색상 변경 시점은 중요한 시장 심리 변화 신호입니다
- 여러 갭이 밀집된 영역은 특히 강한 반응이 예상되는 구간입니다
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◆ 사용 가이드: 색상으로 이해하는 갭 역할
■ 색상 시스템 해석법
• 파란색 갭 (지지 역할):
▶ 의미: 현재 가격이 갭 위에 있어 갭이 지지선으로 작용
▶ 트레이딩 응용: 가격이 파란색 갭 영역으로 하락 접근 시 매수 기회 고려
▶ 심리적 의미: 매수세력이 이 가격대에서 수요 증가 가능성
• 빨간색 갭 (저항 역할):
▶ 의미: 현재 가격이 갭 아래에 있어 갭이 저항선으로 작용
▶ 트레이딩 응용: 가격이 빨간색 갭 영역으로 상승 접근 시 매도 기회 고려
▶ 심리적 의미: 매도세력이 이 가격대에서 공급 증가 가능성
• 회색 갭 (매꿔진 갭):
▶ 의미: 가격이 갭 영역을 완전히 통과하여 갭이 매꿔진 상태
▶ 참조 가치: 과거 중요 반응 구간으로 여전히 참고 가치 있음
▶ 트레이딩 응용: 추세 강도 확인 및 주요 심리적 레벨 식별에 활용
■ 색상 전환 이해하기
• 파란색 → 빨간색 전환:
▶ 의미: 가격이 갭 아래로 하락하여 갭이 지지에서 저항으로 역할 변경
▶ 시장 해석: 이전 지지선 붕괴로 약세 신호 강화
▶ 트레이딩 응용: 추가 하락 가능성 고려, 반등 시 갭 하단 저항 확인
• 빨간색 → 파란색 전환:
▶ 의미: 가격이 갭 위로 상승하여 갭이 저항에서 지지로 역할 변경
▶ 시장 해석: 이전 저항선 돌파로 강세 신호 강화
▶ 트레이딩 응용: 추가 상승 가능성 고려, 조정 시 갭 상단 지지 확인
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◆ 실전 활용 가이드
■ 기본 트레이딩 시나리오
• 파란색 갭 지지 전략:
▶ 진입 시점: 가격이 파란색 갭 상단에 접근하여 반등 캔들 형성 시
▶ 손절 위치: 갭 하단 아래(갭 완전히 하향 돌파 시)
▶ 이익실현: 이전 스윙 고점 또는 상방 다음 저항선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매도 RSI, 강한 반등 캔들
• 빨간색 갭 저항 전략:
▶ 진입 시점: 가격이 빨간색 갭 하단에 접근하여 거부 캔들 형성 시
▶ 손절 위치: 갭 상단 위(갭 완전히 상향 돌파 시)
▶ 이익실현: 이전 스윙 저점 또는 하방 다음 지지선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매수 RSI, 강한 거부 캔들
■ 고급 패턴 활용법
• 다중 갭 클러스터 식별:
▶ 여러 갭이 근접한 가격대에 있다면 더욱 강력한 지지/저항 존
▶ 동일 색상 갭 클러스터: 매우 강력한 단일 방향 반응 구간
▶ 색상 혼합 갭 클러스터: 심한 변동성과 양방향 반응 예상 구간
• 갭 시퀀스 분석:
▶ 연속적인 동일 방향 갭: 강한 추세 확인 신호
▶ 갭 크기 증가 패턴: 추세 가속화 신호
▶ 갭 크기 감소 패턴: 추세 약화 신호
• 뉴스/지표 발표 후 갭 활용:
▶ 경제지표 발표 직후 형성된 갭: 시장 충격 강도 측정
▶ 갭 색상 변화 관찰: 시장의 뉴스 재해석 과정 파악
▶ 갭 매꿈 속도 분석: 뉴스 임팩트의 지속성 평가
• 핵심 주목 포인트:
▶ 가격이 갭 영역에 접근할 때마다 차트를 특별히 주목하세요
▶ 갭 색상이 변경되는 시점은 중요한 시장 심리 변화를 의미합니다
▶ 여러 갭이 밀집된 영역은 가격이 강하게 반응할 가능성이 높습니다
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◆ 기술적 기반
■ CME 갭의 발생 원리
• 주요 갭 발생 상황:
▶ 주말 휴장 (금요일 종가 → 월요일 시가): 가장 일반적인 CME 갭 형성 시점
▶ 공휴일 휴장: 미국 공휴일에 따른 CME 휴장 시 발생
▶ 평일 1시간 휴장: CME 시장의 일일 정비 시간(16:00~17:00 CT) 동안 발생
▶ 주요 경제지표 발표: 미 고용지표, FOMC 결정, CPI 등 발표 시 급격한 가격 변동으로 인한 갭
▶ 중요 뉴스 이벤트: 규제 발표, 지정학적 이벤트, 시장 충격 등으로 인한 급격한 가격 변화
• 갭의 심리적 중요성:
▶ 가격 형성이 이루어지지 않은 구간으로, 매수/매도 세력의 불균형 영역
▶ 갭 구간에는 실제 거래가 없었기 때문에 잠재적 주문이 누적되는 영역
▶ 기관 투자자들의 선물 포지션과 유동성 분포가 반영된 중요한 가격 레벨
■ 지지/저항으로 작용하는 원리
• 심리적 레벨 형성 메커니즘:
▶ 갭 구간의 미실행 주문 축적: 갭 발생 시 해당 가격대에 대한 주문 기회 상실
▶ 유동성 불균형: 갭 구간에는 거래가 없었으므로 유동성 공백 발생
▶ 기관 투자자 활동: CME 선물 시장의 기관 참여자들은 이러한 갭 영역에 관심
• 지지/저항 작용 증거:
▶ 통계적 갭 필 현상: 대부분의 갭은 미래에 "매꿔짐"(가격이 갭 구간으로 회귀)
▶ 갭 기반 반응: 갭 영역에 도달 시 가격 반응(반등/거부) 발생 빈도 증가
▶ 시장 심리 영향: 트레이더들의 인지된 가치와 공정가격 평가에 영향
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◆ 고급 설정 옵션
■ 시각화 설정
• 라벨 표시 설정 (Show Gap Labels) (기본값: 켜짐)
▶ 켜짐: 각 갭의 가격 범위를 숫자로 표시하여 정확한 지지/저항 레벨 확인
▶ 꺼짐: 시각적 깔끔함을 위해 라벨 숨김
• 색상 설정
▶ 매꿔진 갭 색상(Filled Gap Color): 회색 계열, 이미 가격이 통과한 갭 표시
▶ 미매꿔진 갭 색상 - 지지(Support): 파란색, 현재 지지 역할을 하는 갭
▶ 미매꿔진 갭 색상 - 저항(Resistance): 빨간색, 현재 저항 역할을 하는 갭
■ 데이터 관리 설정
• 매꿔진 갭 저장 한도 (Filled Gap Storage Limit) (기본값: 10)
▶ 이미 매꿔진 갭을 최대 몇 개까지 차트에 유지할지 설정
▶ 권장 설정: 단기 트레이더(5-8), 스윙 트레이더(8-12), 포지션 트레이더(10-15)
• 최대 갭 보관 기간 (Maximum Gap Retention Period) (기본값: 12개월)
▶ 오래된 미매꿔진 갭을 자동으로 제거하는 기간 설정
▶ 권장 설정: 단기 분석(3-6개월), 중기 분석(6-12개월), 장기 분석(12-24개월)
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◆ 다른 지표와의 시너지
• 볼륨 프로파일: CME 갭과 볼륨 프로파일의 밸류 영역 일치 시 반응 확률 크게 증가
• 피보나치 리트레이스먼트: 주요 피보나치 레벨과 갭 영역 일치 시 강력한 반응 존 형성
• 이동평균선: 주요 이동평균선과 CME 갭이 겹치는 영역은 "복합 지지/저항"으로 작용
• 수평 지지/저항: 과거 중요 가격대와 CME 갭 일치 시 매우 강력한 가격 반응 예상 가능
• 시장 심리 지표(RSI/MACD): 갭 영역 접근 시 과매수/과매도 확인으로 반응 가능성 판단
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◆ 결론
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 단순한 갭 표시 도구가 아닌, 가격이 강하게 반응할 수 있는 중요한 지지/저항 영역을 직관적인 색상 코드(파란색=지지, 빨간색=저항)로 시각화하는 고급 분석 도구입니다. 주말과 공휴일 휴장 시간뿐만 아니라, 평일 1시간 휴장 시간, 중요 경제지표 발표, 그리고 시장 충격 상황에서 발생하는 모든 유형의 갭을 누락 없이 감지합니다.
인디케이터의 핵심 가치는 갭이 단순한 가격 불연속성이 아닌, 미래 가격 행동에 중요한 영향을 미치는 심리적 지지/저항 영역임을 직관적인 색상 코드로 명확히 표현하는 데 있습니다. 파란색 갭은 지지 역할을, 빨간색 갭은 저항 역할을 하는 영역을 즉각적으로 식별할 수 있어 트레이더가 빠르고 효과적인 의사결정을 내릴 수 있도록 도와줍니다.
갭 영역에 접근할 때마다 색상 코드를 참고하여 가능한 가격 반응을 예측하고, 특히 색상 전환이 일어나는 순간(파란색→빨간색 또는 빨간색→파란색)은 중요한 시장 심리 변화 신호로 해석하여 트레이딩 전략에 통합한다면, 더 높은 확률의 거래 기회를 포착할 수 있을 것입니다.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, CME Gap Detector는 보조 지표로 사용되어야 하며 단독으로 거래 결정을 내리는 데 사용해서는 안 됩니다. 과거의 갭 반응 패턴이 미래에도 동일하게 작용한다고 보장할 수 없습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
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) = Σ 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.
— Dskyz , for DAFE Trading Systems
STICKY MONEY ai v69.23STICKY MONEY ai - Multi-Timeframe Confluence Analysis System v69.23
This closed-source overlay indicator integrates multiple analytical layers to highlight high-probability confluence zones in dynamic markets such as crypto, forex, and indices.
Proprietary Core Mechanism:
- Adaptive Tension Release Logic: Identifies build-up phases through strength-filtered pivots and momentum decay analysis, releasing signals only when a dynamic volatility-based tension threshold is met. This filtering minimizes false breaks and whipsaws typical in standard fractal or pivot-based tools.
Layered Components & Synergistic Interaction:
- 7-Timeframe Bias Monitor: Provides directional alignment across multiple TFs, anchored by the 4H EMA 50, serving as a higher-TF filter to reduce noise on lower timeframes.
- HOT TIME Volatility Windows: Detects 30-minute peak expansion periods from historical session data, restricting signals to high-liquidity institutional windows.
- Structural Confluence Clusters: Auto-detects intersections of session boxes (London, NY, Asian), multi-period Fibonacci clusters (90-min, NY, daily/weekly/monthly), and visible-range volume nodes/gaps for targeted entry/exit focus.
- Volume Profile & Distribution: Highlights high-volume acceptance zones and low-volume gaps to validate level strength.
- Automated Trendlines & Fractals: Combines pivot-based lines with clean swing detection for structural context.
Unique Edge & Value: Standard indicators (e.g., multi-TF EMAs, sessions, fibs, volume profiles) often generate excessive or conflicting signals in choppy conditions. This system's deliberate synergy — session windows + higher-TF bias as strict guards, paired with adaptive Tension Release for precise timing — creates a refined confluence framework that aims to deliver higher-quality setups with fewer false positives. The adaptive elements and real-time dashboard offer advantages over free/public equivalents, particularly for scalping or day trading on lower timeframes.
Usage:
- Optimal on 5m-15m charts for entries, higher TFs for bias.
- Customize inputs for sensitivity, timeframes, and alerts.
- Session timings use US Central Time reference; plots auto-adapt to chart timezone (display only).
- Analytical/educational tool only — no guarantees or financial advice; trade responsibly.
DTR OI IndicatorThe DTR OI Indicator is a multi-exchange open interest indicator designed for futures traders.
It aggregates OI from multiple exchanges to provide a unified and more reliable view of market positioning.
MAIN FUNCTIONS
• Open Interest Candles
• Open Interest Delta
• Delta × Relative Volume
• Open Interest RSI
• Threshold-based alerts for unusually large OI increases or decreases
• Optional OI EMA smoothing
PROFILE SYSTEM
Includes an OI-based distribution profile similar to a volume profile.
Shows Value Area, POC, and structural nodes based on OI activity within the visible chart range.
WHAT IT HELPS IDENTIFY
• Liquidations and rekt events
• Aggressive long/short buildup
• Position unwinds ahead of reversals
• OI-driven levels of interest
• Momentum confirmation (Delta × rVOL)
• Trend exhaustion (OI RSI)
NOTES
• Works across several exchanges for broader accuracy
• Coin or USD quoting supported
• Profile mode is resource-intensive
• No repainting
Ideal for traders who rely on OI, delta, and market positioning to understand futures flows and liquidity shifts.
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!
