PF.MSThe Pressure & Flow Momentum Strategy (PF.MS) detects market pressure buildup through advanced candlestick analysis and captures momentum flow when conditions align, providing accurate buy and sell signals across cryptocurrencies and stocks—but even sophisticated strategies can be wrong when markets turn brutal without warning. The system reads real-time pressure dynamics (buying vs selling forces, wick patterns, volatility conditions) to identify when smart money is positioning, then captures the resulting momentum flow with precise entry and exit timing. While highly accurate at detecting pressure shifts and momentum changes, the strategy can still face losses during sudden news events or when market sentiment overrides technical patterns. The PF.MS combines intelligent pressure detection with momentum capture, trailing profit protection and strict stop losses
Forecasting
ATR + FibsDescription:
This script plots ATR levels and ATR-based Fibonacci extension levels from either the Low of Day, or High of Day, using the daily Average True Range (ATR) to project key price zones. It's designed to help traders quickly assess where price is trading relative to the day’s ATR.
Features:
Visual reference for how far price has moved relative to today's ATR
Projects fib levels using daily ATR from LOD or HOD
Optional display of fib lines, % labels, and price values
Customizable colors and line widths per level
Auto-resets daily with updated highs/lows
Works on all intraday and higher timeframes
Ideal for traders who want to gauge intraday extension, or frame entries using volatility-based levels.
Average Daily Range in TicksPurpose: The ADR Ticks Indicator calculates and displays the average daily price range of a financial instrument, expressed in ticks, over a user-specified number of days. It provides traders with a measure of average daily volatility, which can be used for position sizing, setting stop-loss/take-profit levels, or assessing market activity.
Calculation: Computes the average daily range by taking the difference between the daily high and low prices, averaging this range over a customizable number of days, and converting the result into ticks (using the instrument's minimum tick size).
Customization: Includes a user input to adjust the number of days for the average calculation and a toggle to show/hide the ADR Ticks value in the table.
Risk Management: Helps traders estimate typical daily price movement to set appropriate stop-loss or take-profit levels.
Market Analysis: Offers insight into average daily volatility, useful for day traders or swing traders assessing whether a market is trending or ranging.
Technical Notes:
The indicator uses barstate.islast to update the table only on the last bar, reducing computational load and preventing overlap.
The script handles different chart timeframes by pulling daily data via request.security, making it robust across various instruments and timeframes.
Share Size FinderEnter your target gain and return timeframe to calculate how many shares to buy and the price you’ll need to sell at to meet that goal.
The return timeframe is based on how many candles (based on the ATR) it may take to reach your exit price. I use 2 for scalping.
The table shows the total cost of buying that share amount at the current price—useful for managing account risk, especially for cash accounts or those under PDT rules.
A chart of the exit price is also included to help you compare with projections like Fibonacci extensions.
🌊 Reinhart-Rogoff Financial Instability Index (RR-FII)Overview
The Reinhart-Rogoff Financial Instability Index (RR-FII) is a multi-factor indicator that consolidates historical crisis patterns into a single risk score ranging from 0 to 100. Drawing from the extensive research in "This Time is Different: Eight Centuries of Financial Crises" by Carmen M. Reinhart and Kenneth S. Rogoff, the RR-FII translates nearly a millennium of crisis data into practical insights for financial markets.
What It Does
The RR-FII acts like a real-time financial weather forecast by tracking four key stress indicators that historically signal the build-up to major financial crises. Unlike traditional indicators based only on price, it takes a broader view, examining the global market's interconnected conditions to provide a holistic assessment of systemic risk.
The Four Crisis Components
- Capital Flow Stress (Default weight: 25%)
- Data analyzed: Volatility (ATR) and price movements of the selected asset.
- Detects abrupt volatility surges or sharp price falls, which often precede debt defaults due to sudden stops in capital inflow.
- Commodity Cycle (Default weight: 20%)
- Data analyzed: US crude oil prices (customizable).
- Watches for significant declines from recent highs, since commodity price troughs often signal looming crises in emerging markets.
- Currency Crisis (Default weight: 30%)
- Data analyzed: US Dollar Index (DXY, customizable).
- Flags if the currency depreciates by more than 15% in a year, aligning with historical criteria for currency crashes linked to defaults.
- Banking Sector Health (Default weight: 25%)
- Data analyzed: Performance of financial sector ETFs (e.g., XLF) relative to broad market benchmarks (SPY).
- Monitors for underperformance in the financial sector, a strong indicator of broader financial instability.
Risk Scale Interpretation
- 0-20: Safe – Low systemic risk, normal conditions.
- 20-40: Moderate – Some signs of stress, increased caution advised.
- 40-60: Elevated – Multiple risk factors, consider adjusting positions.
- 60-80: High – Significant probability of crisis, implement strong risk controls.
- 80-100: Critical – Several crisis indicators active, exercise maximum caution.
Visual Features
- The main risk line changes color with increasing risk.
- Background colors show different risk zones for quick reference.
- Option to view individual component scores.
- A real-time status table summarizes all component readings.
- Crisis event markers appear when thresholds are breached.
- Customizable alerts notify users of changing risk levels.
How to Use
- Apply as an overlay for broad risk management at the portfolio level.
- Adjust position sizes inversely to the crisis index score.
- Use high index readings as a warning to increase vigilance or reduce exposure.
- Set up alerts for changes in risk levels.
- Analyze using various timeframes; daily and weekly charts yield the best macro insights.
Customizable Settings
- Change the weighting of each crisis factor.
- Switch commodity, currency, banking sector, and benchmark symbols for customized views or regional focus.
- Adjust thresholds and visual settings to match individual risk preferences.
Academic Foundation
Rooted in rigorous analysis of 66 countries and 800 years of data, the RR-FII uses empirically validated relationships and thresholds to assess systemic risk. The indicator embodies key findings: financial crises often follow established patterns, different types of crises frequently coincide, and clear quantitative signals often precede major events.
Best Practices
- Use RR-FII as part of a comprehensive risk management strategy, not as a standalone trading signal.
- Combine with fundamental analysis for complete market insight.
- Monitor for differences between component readings and the overall index.
- Favor higher timeframes for a broader macro view.
- Adjust component importance to suit specific market interests.
Important Disclaimers
- RR-FII assesses risk using patterns from past crises but does not predict future events.
- Historical performance is not a guarantee of future results.
- Always employ proper risk management.
- Consider this tool as one element in a broader analytical toolkit.
- Even with high risk readings, markets may not react immediately.
Technical Requirements
- Compatible with Pine Script v6, suitable for all timeframes and symbols.
- Pulls data automatically for USOIL, DXY, XLF, and SPY.
- Operates without repainting, using only confirmed data.
The RR-FII condenses centuries of financial crisis knowledge into a modern risk management tool, equipping investors and traders with a deeper understanding of when systemic risks are most pronounced.
% / ATR Buy, Target, Stop + Overlay & P/L% / ATR Buy, Target, Stop + Overlay & P/L
This tool combines volatility‑based and fixed‑percentage trade planning into a single, on‑chart overlay—with built‑in profit‑and‑loss estimates. Toggle between ATR or percentage modes, plot your Buy, Target and Stop levels, and see the dollar gain or loss for a specified position size—all in one interactive table and chart display.
NOTE: To activate plotted lines, price labels, P/L rows and table values, enter a Buy Price greater than zero.
What It Does
Mode Toggle: Choose between “ATR” (volatility‑based) or “%” (fixed‑percentage) calculations.
Buy Price Input: Manually enter your entry price.
ATR Mode:
Target = Buy + (ATR × Target Multiplier)
Stop = Buy − (ATR × Stop Multiplier)
Percentage Mode:
Target = Buy × (1 + Target % / 100)
Stop = Buy × (1 – Stop % / 100)
P/L Estimates: Specify a dollar amount to “invest” at your Buy price, and the script calculates:
Gain ($): Profit if Target is hit
Loss ($): Cost if Stop is hit
Visual Overlay: Draws horizontal lines for Buy, Target and Stop, with optional price labels on the chart scale.
Interactive Table: Displays Buy, Target, Stop, ATR/timeframe info (in ATR mode), percentages (in % mode), and P/L rows.
Customization Options
Line Settings:
Choose color, style (solid/dashed/dotted), and width for Buy, Target, Stop lines.
Extend lines rightward only or in both directions.
Table Settings:
Position the table (top/bottom × left/right).
Toggle individual rows: Buy Price; Target (multiplier or %); Stop (multiplier or %); Target ATR %; Stop ATR %; ATR Time Frame; ATR Value; Gain ($); Loss ($).
Customize text colors for each row and background transparency.
General Inputs:
ATR length and optional ATR timeframe override (e.g. use daily ATR on an intraday chart).
Target/Stop multipliers or percentages.
Dollar Amount for P/L calculations.
How to Use It for Trading
Plan Your Entry: Enter your intended Buy Price and position size (dollar amount).
Select Mode: Toggle between ATR or % mode depending on whether you prefer volatility‑based or fixed offsets.
Assess R:R and P/L: Instantly see your Target, Stop levels, and potential profit or loss in dollars.
Visual Reference: Lines and price labels update in real time as you tweak inputs—ideal for live trading, backtesting or trade journaling.
Ideal For
Traders who want both volatility‑based and percentage‑based exit options in one tool
Those who need on‑chart P/L estimates based on position size
Swing and intraday traders focused on objective, rule‑based trade management
Anyone who uses ATR for adaptive stops/targets or fixed percentages for simpler exits
zSph x Larry Waves Wave Degree TimingElliott Waves are fractal structures governed by time. The categorization of time in relation to Elliott Wave is named ‘Wave Degree’.
All waves are characterized by relative size called degree. The degree of a wave is determined by its size and position relative to lesser waves (smaller time and size), corresponding waves (similar time and size) and encompassing waves (greater time and size).
Elliott named 9 degrees (Supercycle – Subminuette).
Elliott also stated the Subminuette degree is discernable on the HOURLY chart.
# Concept
BINANCE:BTCUSDT
Degree is governed by Time yet it is not based upon time lengths (or price lengths), rather it is based on form and structure – a function of both price and time.
The precise degree may not be identified in real time, yet the objective is to be within +/- 1 standard deviation of the expected degree to be aware of the overall market progression.
Understanding degree helps in the identification of when an impulse or a correction is nearing completion and to be aware of the major pivot in price action to occur as a result of the completion of a major expansion or major retracement and be aware of when major pivots in price relating to major expansions and major retracements by managing expectations from a time perspective.
*Important to understand* : If price is currently in a Wave Degree Extension or a Very Complex Correction, the wave degree timings will be distorted (extended in time).
Example: A Cycle typically lasts a few years - yet can last a decade(s) in an Extension.
It’s best to keep the analysis on the Minute/Minuette timeframe to manage timing expectations yet always refer back to the Higher Time Frame Structure.***
# Correct Usage
BEFORE PLACING THE ANCHOR TO DISPLAY ZONES:
Completion of prior wave structure should be completed and there needs to be confirmation the next wave structure is in progression, such as a change in market structure.
Anchor :
Best to anchor on the higher time frame to ensure you always have the anchor point defined when you scale down/move down in the timeframes.
Ensure the anchor point is placed at the termination of a structure/beginning of a new structure (Generally they will be price extremes – extreme highs and lows)
Zones :
Minimum Zones : The minimum amount of time of completion for a single wave structure to complete for a degree.
Average Zones : The average amount of time of completion for a single wave structure to complete for a degree.
Maximum Zones : The general maximum amount of time of completion for a single wave structure to complete for a degree.
Wave Degree Timeframe Analysis :
Higher-Level Degrees (Primary, Intermediate, Minor) - Utilize on H4+ timeframe
Lower-Level Degrees (Minute, Minuette, Subminuette) – Utilize on 15M to H4 timeframe
Micro-Level Degrees (Micro and Submicro) – Utilize on timeframes less than 15M
(There is a chart in the settings you can toggle on/off that reiterates this as well.)
# Settings
Y-Axis Offset :
It is a scale relative to the asset being viewed. Example:
- If using on Bitcoin, Bitcoin moves on average $1,000 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 4 nominal values to offset it correctly to view easier on the chart as needed.
- If using on SP500, SP500 moves on average $50-100 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 2 or 3 nominal values to offset it correctly to view easier on the chart as needed.
Extend :
This option allows to extend lines for the borders of the zones towards price action.
Log Return DistributionThis indicator calculates the statistical distribution of logarithmic returns over a user-defined lookback period and visualizes it as a horizontal profile anchored to the most recent opening price.
Lookback Length: The number of recent bars to include in the distribution analysis. A larger value (e.g., 252) provides a long-term statistical view, while a smaller value (e.g., 20) focuses on recent, short-term volatility.
Bins Count: The number of price levels to divide the distribution into. An odd number is recommended (e.g., 31, 51) to ensure a dedicated central line for the 0% return.
Max Line Length: The horizontal length (in bars) of the line representing the most frequent return bin (the mode). This setting scales the entire profile, allowing you to make differences in frequency more or less pronounced visually.
Cubic Regression with Rainbow Grid (Adaptive StDev)Cubic Regression with Rainbow Channel
Description
The Cubic Regression with Rainbow Channel is an advanced technical analysis tool designed to identify trends and measure market volatility. It plots a cubic regression trendline surrounded by a "rainbow" of quantile bands.
Its primary feature is a unique adaptive volatility model. Instead of using a single period for standard deviation, it blends a long-term (stable) and a short-term (responsive) deviation. The user can control the weight between these two, allowing for fine-tuning of the channel's sensitivity to recent volatility changes.
How to Use and Recommendations
This indicator can be used for trend analysis, volatility assessment, and generating trading signals.
1. Trend Identification:
The central white line represents the calculated cubic regression trend.
Uptrend: The line curves upwards.
Downtrend: The line curves downwards.
Consolidation: The line moves sideways.
The curve's angle indicates the trend's strength.
2. Volatility Analysis:
The width of the rainbow is a direct measure of market volatility.
Wide Channel (High Volatility): Indicates significant price movement and uncertainty. Be cautious, as prices can swing wildly.
Narrow Channel (Low Volatility): Signals a period of consolidation or low market activity. Often, a "squeeze" (a very narrow channel) precedes a strong breakout.
3. Trading Signals:
Mean Reversion (Primary Strategy):
Sell Signal: When the price reaches the upper, "hot" bands (yellow, orange, red), it is considered overbought or overextended. Look for a potential reversal back towards the central white line.
Buy Signal: When the price touches the lower, "cold" bands (aqua, navy, purple), it is considered oversold. Look for a potential bounce back towards the central trendline.
Breakout Confirmation:
If the price consistently closes outside the outer bands (red or purple), especially as the channel is widening, it may signal the start of a very strong new trend, invalidating the mean-reversion signal.
4. Key Recommendations:
Always Use Confirmation: Do not use this indicator in isolation. Confirm its signals with other tools like RSI for momentum, MACD for trend confirmation, or Volume analysis.
Tune the Parameters:
Regression Period: Adjust this to fit the character of the asset. A longer period creates a smoother, more stable trendline suitable for long-term analysis. A shorter period makes it more responsive to recent price action.
Short StDev Weight (%): This is the most important setting. Start with a value around 20-40%.
Increase the weight to make the channel react faster to volatility spikes (good for short-term trading).
Decrease the weight for a smoother, more stable channel that filters out market noise (better for trend-following).
Context is King: The indicator is most reliable in markets that tend to revert to a mean. In a very strong, one-directional trend, mean-reversion signals may fail repeatedly.
Durdens Global M2 Liquidity Tracker🧠 Durdens Global M2 Liquidity Tracker | Bitcoin vs Liquidity, Visualized
If you’re not watching global liquidity, you’re not really trading macro.
This indicator tracks FX-adjusted M2 money supply across 20+ countries, aggregated into a single global liquidity signal. It can then be used to overlay against Bitcoin for timing macro shifts with precision.
🔍 Core Features:
🌐 USD-adjusted M2 from the US, China, Eurozone, UK, Japan, and more
📊 Normalization modes: None (raw), Index (Based to 100), Z-Score
⏳ Offset input to shift liquidity data forward — aligns with Bitcoin's delayed reaction (84–107 days common)
🧠 BTC correlation matrix: 30D, 90D, 365D correlation values
🧪 Top 3 M2 delta signals: Tracks 90-day % change for US, China, EU
🧮 Fibonacci SMAs: 13 / 34 / 89 for structural macro context
🟢🔴 Liquidity regime engine: EMA 89 defines "Risk-On" vs "Risk-Off" states
🧩 How It Works:
Each country’s M2 is multiplied by its FX rate (to USD) and summed into a single global M2 line. This ensures comparability across nations. The user can choose to:
Normalize the output (raw, indexed, or z-scored)
Shift the global M2 forward in time (offset), simulating the lag effect liquidity has on Bitcoin
Visualize macro risk conditions using EMA 89 as a liquidity regime filter
Analyze BTC correlation across 3 windows and track key regions’ M2 delta
❓ FAQ:
Why does this matter?
M2 is the monetary fuel behind asset bubbles. When liquidity rises, Bitcoin follows; with a delay. This tracker helps you front-run macro flows before they hit the chart.
Why use Index or Z-Score modes?
Raw values skew long-term visual analysis. Index mode rebases data for comparative trend tracking. Z-Score shows when liquidity is overheated or suppressed (mean reversion).
What does the offset input do?
Liquidity doesn’t hit Bitcoin instantly. Many traders use an 84–107 day forward shift to align M2 changes with BTC price action. The offset helps you visualize this.
Why track top 3 M2 regions?
US, China, and Eurozone are the heavyweights in global liquidity. Tracking their offset-day % change gives immediate insight into capital expansion or contraction.
Can I use this to trade?
Absolutely; but it’s best used as a macro filter. Combine with price structure, funding, or on-chain data to optimize timing and conviction.
⚡ Use Cases:
Spot early pivots in liquidity regimes (Risk-Off to Risk-On)
Quantify macro backdrop for Bitcoin or altcoin cycles
Understand when the Fed or PBOC are tightening or easing
Ditch the hopium. Trade with context.
—
Built by: @DurdensBitcoinLedger
Follow for updates — future upgrades include:
• Regional toggles
• Custom M2 baskets
• Alert conditions
• Continued revisions & updates
Stay liquid, not wrecked.
LANZ Strategy 6.0 [Backtest]🔷 LANZ Strategy 6.0 — Precision Backtesting Based on 09:00 NY Candle, Dynamic SL/TP, and Lot Size per Trade
LANZ Strategy 6.0 is the simulation version of the original LANZ 6.0 indicator. It executes a single LIMIT BUY order per day based on the 09:00 a.m. New York candle, using dynamic Stop Loss and Take Profit levels derived from the candle range. Position sizing is calculated automatically using capital, risk percentage, and pip value — allowing accurate trade simulation and performance tracking.
📌 This is a strategy script — It simulates real trades using strategy.entry() and strategy.exit() with full money management for risk-based backtesting.
🧠 Core Logic & Trade Conditions
🔹 BUY Signal Trigger:
At 09:00 a.m. NY (New York time), if:
The current candle is bullish (close > open)
→ A BUY order is placed at the candle’s close price (EP)
Only one signal is evaluated per day.
⚙️ Stop Loss / Take Profit Logic
SL can be:
Wick low (0%)
Or dynamically calculated using a % of the full candle range
TP is calculated using the user-defined Risk/Reward ratio (e.g., 1:4)
The TP and SL levels are passed to strategy.exit() for each trade simulation.
💰 Risk Management & Lot Size Calculation
Before placing the trade:
The system calculates pip distance from EP to SL
Computes the lot size based on:
Account capital
Risk % per trade
Pip value (auto or manual)
This ensures every trade uses consistent, scalable risk regardless of instrument.
🕒 Manual Close at 3:00 p.m. NY
If the trade is still open by 15:00 NY time, it will be closed using strategy.close().
The final result is the actual % gain/loss based on how far price moved relative to SL.
📊 Backtest Accuracy
One trade per day
LIMIT order at the candle close
SL and TP pre-defined at execution
No repainting
Session-restricted (only runs on 1H timeframe)
✅ Ideal For:
Traders who want to backtest a clean and simple daily entry system
Strategy developers seeking reproducible, high-conviction trades
Users who prefer non-repainting, session-based simulations
👨💻 Credits:
💡 Developed by: LANZ
🧠 Logic & Money Management Engine: LANZ
📈 Designed for: 1H charts
🧪 Purpose: Accurate simulation of LANZ 6.0's NY Candle Entry system
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
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◆ 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
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◆ 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
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◆ 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
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◆ 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
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◆ 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.
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※ 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.
TheDevashishratio-MomentumThis custom momentum indicator is inspired by Fibonacci principles but builds a unique sequence with steps of 0.5 (i.e., 0, 0.5, 1, 1.5, 2, ...). Instead of traditional Fibonacci numbers, each step functions as a dynamic lookback period for a momentum calculation. By cycling through these fractional steps, you capture a layered view of price momentum over varying intervals.
The "Fibonacci" Series Used
Sequence:
0, 0.5, 1, 1.5, 2, … up to a user-defined maximum
For trading indicators, lag values (lookback) must be integers, so each step is rounded to the nearest integer and duplicates are removed, resulting in lookbacks:
1, 2, 3, 4, ... N
Indicator Logic
For each selected lookback, the indicator calculates momentum as:
Momentum
n
=
close
−
close
Momentum
n
=close−close
Where:
close = current price
n = integer from your series of
You can combine these momenta for an averaged or weighted momentum profile, displaying the composite as an oscillator.
How To Use
Bullish: Oscillator above zero indicates positive composite momentum.
Bearish: Oscillator below zero indicates negative composite momentum.
Crosses: A cross from below to above zero may signal emerging bullish momentum, and vice versa.
Customization
Adjust max_step to control how many interval lags you want in your composite.
This oscillator averages across many short and mid-term momenta, reducing noise while still being sensitive to changes.
Summary
TheDevashishratio-Momentum offers a fresh momentum oscillator, blending a "Fibonacci-like" progression with technical analysis, and can be easily copy-pasted into TradingView to experiment and refine your edge.
For more on momentum indicator logic or how to use arrays and series in Pine Script, explore TradingView's official documentation and open-source scripts
Advanced Correlation Monitor📊 Advanced Correlation Monitor - Pine Script v6
🎯 What does this indicator do?
Monitors real-time correlations between 13 different asset pairs and alerts you when historically strong correlations break, indicating potential trading opportunities or changes in market dynamics.
🚀 Key Features
✨ Multi-Market Monitoring
7 Forex Pairs (GBPUSD/DXY, EURUSD/GBPUSD, etc.)
6 Index/Stock Pairs (SPY/S&P500, DAX/NASDAQ, TSLA/NVDA, etc.)
Fully configurable - change any pair from inputs
📈 Dual Correlation Analysis
Long Period (90 bars): Identifies historically strong correlations
Short Period (6 bars): Detects recent breakdowns
Pearson Correlation using Pine Script v6 native functions
🎨 Intuitive Visualization
Real-time table with 6 information columns
Color coding: Green (correlated), Red (broken), Gray (normal)
Visual states: 🟢 OK, 🔴 BROKEN, ⚫ NORMAL
🚨 Smart Alert System
Only alerts previously correlated pairs (>80% historical)
Detects breakdowns when short correlation <80%
Consolidated alert with all affected pairs
🛠️ Flexible Configuration
Adjustable Parameters:
📅 Periods: Long (30-500), Short (2-50)
🎯 Threshold: 50%-99% (default 80%)
🎨 Table: Configurable position and size
📊 Symbols: All pairs are configurable
Default Pairs:
FOREX: INDICES/STOCKS:
- GBPUSD vs DXY • SPY vs S&P500
- EURUSD vs GBPUSD • DAX vs S&P500
- EURUSD vs DXY • DAX vs NASDAQ
- USDCHF vs DXY • TSLA vs NVDA
- GBPUSD vs USDCHF • MSFT vs NVDA
- EURUSD vs USDCHF • AAPL vs NVDA
- EURUSD vs EURCAD
💡 Practical Use Cases
🔄 Pairs Trading
Detects when strong correlations break for:
Statistical arbitrage
Mean reversion trading
Divergence opportunities
🛡️ Risk Management
Identifies when "safe" assets start moving independently:
Portfolio diversification
Smart hedging
Regime change detection
📊 Market Analysis
Understand underlying market structure:
Forex/DXY correlations
Tech sector rotation
Regional market disconnection
🎓 Results Interpretation
Reading Example:
EURUSD vs DXY: -98.57% → -98.27% | 🟢 OK
└─ Perfect negative correlation maintained (EUR rises when DXY falls)
TSLA vs NVDA: 78.12% → 0% | ⚫ NORMAL
└─ Lost tech correlation (divergence opportunity)
Trading Signals:
🟢 → 🔴: Broken correlation = Possible opportunity
Large difference: Indicates correlation tension
Multiple breaks: Market regime change
Auto Fib Extension with alert (golden rentry zone)Ideal for:
Traders who want an objective, auto-updating Fibonacci framework to identify potential continuation, or reaction zones after significant highs. The “Golden zone” highlights an area of particular interest for bounces, reactions, or consolidations. Once, price renters the Golden zone, 40% of the time, it will lead to 1.68 and 2.68 levels, making 80 to 200% once all time high is broken!!
This script automatically detects major swing points (all-time high and following swing low) using the last 1 year or 6 months of data, then draws Fibonacci retracement and extension levels from the all-time high (ATH) down to the lowest low after that high.
What it does:
Detects All-Time High (ATH) within your chosen lookback window (default: 1 year, falls back to 6 months if insufficient bars).
Finds the lowest low after ATH within the lookback period (ensures swing low always comes after swing high).
Plots Fibonacci retracement levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1) from ATH to the swing low.
Issues an alert if price enters the Golden zone (between 0.236 and 0.382).
PnL_EMA_TRACK12_PRO_3.3_full_adjusted# Multi-Ticker Support
Manage up to 12 tickers simultaneously.
- For each symbol, input share quantities, entry prices, and two optional additional entry points (E2, E3) with their own shares and offset percentages.
- Dynamic handling of inputs using arrays for easier maintenance and scalability.
# Average Cost and PnL Calculation
- Computes weighted average entry costs across all position parts (E1 and optionally E2 and E3).
- Calculates real-time Profit & Loss (PnL) both in USD and percentage relative to the current price.
- Color-coded values: green for profit, red for loss — for quick visual feedback.
# Moving Averages as Benchmarks
- Uses daily EMAs (10, 21, 65) and 15-minute SMA 200 as reference levels.
- Calculates percentage deviations of these moving averages from the average entry price.
- Calculates dollar differences based on the total shares held.
# Chart Visualization
- Draws a dashed yellow line for the average cost of each position.
- Optionally draws two additional lines and labels for E2 (blue) and E3 (purple) if activated.
- Lines extend to the right to emphasize current relevance.
- Labels can be positioned left or right, with customizable horizontal offset.
# Interactive Table in Chart
- Positions the info table in any chosen corner or center of the chart (top/right/left/middle, etc.).
- Displays symbol, PnL (dollar and percentage), and deviations to key EMAs and SMA.
- Colors PnL values according to profit or loss for instant clarity.
# User-Friendly Settings
- Flexible font size options for both the table and labels.
- Customizable colors for positive and negative values (default green/red).
- Choice of label position and X-axis offset to fit your chart style.
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
─────────────────────────────────────
◆ 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
─────────────────────────────────────
◆ 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.
─────────────────────────────────────
※ 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.
─────────────────────────────────────
◆ 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
─────────────────────────────────────
◆ 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.
No Supply No Demand (NSND) – Volume Spread Analysis ToolThis indicator is designed for traders utilizing Volume Spread Analysis (VSA) techniques. It automatically detects potential No Demand (ND) and No Supply (NS) candles based on volume and price behavior, and confirms them using future price action within a user-defined number of lookahead bars.
Confirmed No Demand (ND): Detected when a bullish candle has volume lower than the previous two bars and is followed by weakness (next highs swept, close below).
Confirmed No Supply (NS): Detected when a bearish candle has volume lower than the previous two bars and is followed by strength (next lows swept, close above).
Adjustable lookahead bars parameter to control the confirmation window.
This tool helps identify potential distribution (ND) and accumulation (NS) areas, providing early signs of market turning points based on professional volume logic. The dot appears next to ND or NS.
Mohammad - OBs, BOS, S/R, Elliott Waves & Trend LinesProfessional Trading Indicator System - Technical Analysis Suite
Overview
Advanced technical analysis system integrating ICT/SMC methodologies with classical analysis tools. Features seven analytical components for comprehensive market structure analysis.
Components
1. Order Blocks (ICT/SMC)
Identifies institutional accumulation/distribution zones acting as future support/resistance.
Detection: Automatic identification based on price rejection patterns
Management: Dynamic updates and removal of invalidated blocks
Configuration: Sensitivity levels (High/Medium/Low), ATR-based parameters
Visual: Green support, red resistance with transparency
2. Break of Structure (BOS)
Detects significant structural breaks indicating trend changes.
Method: 5-bar swing point formation
Display: White horizontal lines with labels
Range: 50-bar maximum lookback
3. Support & Resistance
Classical horizontal levels from significant price pivots.
Analysis: 300-bar historical scan
Filter: 10-point duplicate tolerance
Display: Maximum 15 levels within 5% of current price
4. Fair Value Gaps (FVG)
Price inefficiencies that often get filled on return.
Types: Bullish gaps (up) and bearish gaps (down)
Size: Minimum 0.1 ATR or 5 points
Management: Auto-removal when filled
5. Elliott Wave Analysis
Advanced pattern recognition for impulse and corrective waves.
Patterns: 5-wave impulse (1-2-3-4-5), 3-wave corrective (A-B-C)
Adaptive: Auto-adjusts to timeframe (3-10 depth range)
Display: Small dots with large numbers, starts from hidden point 0
6. 45-Degree Momentum Lines
Revolutionary projection system based on consecutive candle sequences.
Bearish Lines (Red):
Trigger: 5+ consecutive red candles
Start: HIGH of first red candle
Labels: B1-B5
Bullish Lines (Green):
Trigger: 5+ consecutive green candles
Start: LOW of first green candle
Labels: T1-T5
Specifications:
Angle: 45° using ATR * 0.15
Extension: 30 bars forward
Display: 5 most recent patterns
7. Classical Trend Lines
Multi-touch diagonal support/resistance detection.
Validation: Minimum touch requirements
Tolerance: ATR-based touch detection
Display: Blue lines with optional labels
Configuration Summary
Global Settings:
Show/hide each component individually
Customizable colors and line widths
Label size options
Performance:
50-bar periodic cleanup
Maximum object limits (500 each)
Conditional processing on bar close
Trading Applications
Scalping: Order Blocks + FVGs + 45° Lines
Day Trading: All components with BOS emphasis
Swing Trading: Elliott Waves + Trend Lines
Position Trading: Major levels + Elliott Waves
Key Strategies:
Use 45° line bounces for entries
Combine Order Blocks with 45° lines for confluence
Confirm BOS breaks with 45° line violations
Place stops beyond projection lines
Technical Requirements
Platform: TradingView Pine Script v5
Minimum: 300 historical bars
Optimal: 15m-4H timeframes
Performance: Moderate CPU usage
Color Scheme
Green: Bullish/Support (#26a69a)
Red: Bearish/Resistance (#ef5350)
White: BOS/S&R lines
Blue: Elliott Waves/Trend Lines
Customizable: 45° projection lines
Risk Disclaimer
Educational tool only. Not financial advice. Combine with risk management and personal analysis. Past performance doesn't guarantee future results. Trading involves substantial risk.
PCR tableOverview
This indicator displays a multi-period table of forward-looking price projections. It combines normalized directional momentum (Positive Change Ratio, PCR) with volatility (ATR) and presents a forecast for upcoming time intervals, adjusted for your local UTC offset.
Concepts & Calculations
Positive Change Ratio (PCR):
((total positive change)/(total change)-0.5)*2, producing a value between –100 and +100.
Synthetic ATR: Calculates average true range over the same lookbacks to capture volatility.
PCR × ATR: Forms a volatility-weighted directional forecast, indicating expected move magnitude.
Future Price Projection: Adds PCR × ATR value to current close to estimate future price at each lookahead interval.
Table Layout
There are 12 forecast horizons—1× to 12× the chart timeframe (e.g., minutes, hours, days). Each row displays:
1. Future Time: Timestamp of each projection (adjustable via UTC offset)
2. PCR: Directional bias per period (–1 to +1)
3. PCR × ATR: E xpected move magnitude
4. Future Price: Close + (PCR × ATR)
High and low PCR×ATR rows are highlighted green for minimum value in the price forecast (buy signal) or red for maximum value in the price forecast (sell signal).
How to Use
1. Set UTC offset to your time zone for accurate future timestamps.
2. View PCR to assess bullish (positive) or bearish (negative) momentum.
3. Use PCR × ATR to estimate move strength and direction.
4. Reference Future Price for potential levels over upcoming intervals, and for buy and sell signals.
Limitations & Disclaimers
* This model uses linear extrapolation based on recent price behavior. It does not guarantee future prices.
* It uses only current bar data and no lookahead logic—compliant with Pine Script rules.
* Designed for analytical insight, not as an automated signal or trade executor.
* Best used on standard bar/candle charts (avoid non-standard types like Heikin‑Ashi or Renko).
52SIGNAL RECIPE Market Structure Reversal Signals═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ Overview
52SIGNAL RECIPE Market Structure Reversal Signals is a technical indicator designed to detect structural changes in price charts and identify potential trend reversals. By tracking highs and lows over a specified period, this indicator provides clear visual signals when significant price breakouts occur, helping traders capture directional changes in the market early.
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◆ Key Features
• Structural Reversal Detection: Provides potential trend change signals when price breaks through recent N-day highs/lows
• Duplicate Signal Prevention: Filters out consecutive signals in the same direction
• Intuitive Visualization: Clearly distinguishes bullish/bearish reversal signals by color and position on the chart
• Confirmed Bar Based: Generates signals only after bars are completely closed, enhancing reliability
• Customizable Settings: Adjustable tracking period to optimize for various market environments and timeframes
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◆ Technical Foundation
■ Market Structure Analysis Principle
• High/Low Tracking: Identifies previous highs (LH) and lows (HL) over the specified period
• Structural Breakout: Interprets as structural change when closing price breaks above previous high or below previous low
• Confirmed Bar Verification: Minimizes false signals by generating signals only after the current bar has completely closed
■ Signal Filtering Mechanism
• Signal State Tracking: Prevents duplicate signals by tracking the direction of the last generated signal
• Directional Change Focus: Suppresses signals in the same direction until an opposite signal occurs
• Noise Reduction: Focuses only on important level breakouts, eliminating unnecessary signals
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◆ Practical Applications
■ Trend Reversal Point Identification
• Bullish Trend Starting Point:
▶ When bullish reversal signal occurs after a downtrend
▶ When upward momentum is confirmed by breaking previous high
• Bearish Trend Starting Point:
▶ When bearish reversal signal occurs after an uptrend
▶ When downward momentum is confirmed by breaking below previous low
• Range Breakout Detection:
▶ Potential trend formation signals when breaking upper/lower boundaries in a ranging market
■ Trading Strategy Application
• Trend Following Strategy:
▶ Consider buy entry when bullish reversal signal occurs
▶ Consider sell entry when bearish reversal signal occurs
• Reversal Trading:
▶ Signals occurring at support/resistance levels provide high-probability entry points
▶ Reversal signals in overbought/oversold conditions strengthen trend reversal possibility
• Risk Management:
▶ Consider closing or reducing positions when opposite signals occur
▶ Set precise stop-loss points by combining with key technical levels
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◆ Advanced Setting Options
■ Tracking Period (N-day) Adjustment
• Short-term Setting: 10-15 days (sensitive signals, quick reaction, suitable for short-term trading)
• Medium-term Setting: 20-30 days (balanced signals, general trend detection, recommended default)
• Long-term Setting: 40-50 days (strong filtering, detects only major trend reversals, suitable for long-term investment)
■ Timeframe Optimization
• Daily Chart: 20-30 day setting (medium-term trend change detection)
• 4-Hour Chart: 30-40 setting (short-term swing trading signals)
• Hourly Chart: 40-50 setting (intraday trend change detection)
• Intraday Chart: 10-20 setting (scalping and short-term trading)
■ Market Type Adjustment
• High Volatility Markets: Higher N values (30-50) to filter noise
• Trending Markets: Medium N values (20-30) to capture only major reversals
• Ranging Markets: Lower N values (10-20) to capture range-bound movements
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◆ Synergy with Other Indicators
• Moving Averages: Signal strength enhanced when Market Structure Reversal Signals align with key moving average crossovers
• RSI: Market Structure Reversal Signals occurring at overbought/oversold levels increase reversal probability
• Volume Indicators: Market Structure Reversal Signals accompanied by high volume enhance reliability
• Fibonacci Levels: Market Structure Reversal Signals occurring at key Fibonacci levels provide important turning points
• Channel Indicators: Powerful breakout confirmation when price channel upper/lower breakthroughs coincide with Market Structure Reversal Signals
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◆ Conclusion
52SIGNAL RECIPE Market Structure Reversal Signals objectively identifies structural changes in the market and clearly visualizes potential trend reversal points. Its simple yet powerful approach of detecting directional changes through recent N-day high/low breakouts provides flexibility applicable to various market environments and trading styles. The duplicate signal prevention mechanism and confirmed bar-based signal generation greatly enhance signal quality and reliability. When combined with other technical indicators, synergy effects can be maximized, providing traders with a valuable tool to capture market turning points early.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ 개요
52SIGNAL RECIPE Market Structure Reversal Signals는 가격 차트의 구조적 변화를 감지하여 잠재적인 추세 반전을 식별하는 기술적 지표입니다. 이 지표는 최근 N일 동안의 고점과 저점을 추적하여 의미 있는 가격 돌파가 발생할 때 명확한 시각적 신호를 제공함으로써, 트레이더가 시장의 방향성 변화를 조기에 포착할 수 있도록 도와줍니다.
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◆ 주요 특징
• 구조적 반전 탐지: 가격이 최근 N일 고점/저점을 돌파할 때 잠재적 추세 변화 신호 제공
• 중복 신호 방지: 동일한 방향의 신호가 연속으로 반복되지 않도록 필터링
• 직관적인 시각화: 상승/하락 반전 신호를 차트 상에서 색상과 위치로 명확히 구분
• 확정 봉 기반: 봉이 완전히 종료된 후에만 신호 생성하여 신뢰도 향상
• 사용자 정의 설정: 추적 기간을 조정하여 다양한 시장 환경과 타임프레임에 최적화 가능
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◆ 기술적 기반
■ 시장 구조 분석 원리
• 고점/저점 추적: 지정된 기간 동안의 이전 고점(LH)과 저점(HL) 식별
• 구조적 돌파: 종가가 이전 고점을 상향 돌파하거나 이전 저점을 하향 돌파할 때 구조적 변화로 해석
• 확정 봉 검증: 현재 봉이 완전히 종료된 후에만 신호 생성하여 오신호 최소화
■ 신호 필터링 메커니즘
• 신호 상태 저장: 마지막 생성된 신호의 방향을 추적하여 동일 방향 신호 중복 방지
• 방향성 전환 초점: 반대 방향 신호가 발생할 때까지 동일 방향 신호 억제
• 노이즈 감소: 중요 수준 돌파에만 집중하여 불필요한 신호 제거
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◆ 실용적 응용
■ 추세 전환점 식별
• 상승 추세 시작점:
▶ 하락 추세 후 상승 반전 신호 발생 시
▶ 이전 고점 돌파로 상승 모멘텀 확인 시
• 하락 추세 시작점:
▶ 상승 추세 후 하락 반전 신호 발생 시
▶ 이전 저점 이탈로 하락 모멘텀 확인 시
• 범위 돌파 감지:
▶ 횡보 시장에서 상/하 경계 돌파 시 잠재적 추세 형성 신호
■ 트레이딩 전략 적용
• 추세 추종 전략:
▶ 상승 반전 신호 발생 시 매수 진입 고려
▶ 하락 반전 신호 발생 시 매도 진입 고려
• 반전 트레이딩:
▶ 지지/저항 수준에서 반전 신호 발생 시 높은 확률의 진입점 제공
▶ 과매수/과매도 상태에서의 반전 신호는 추세 전환 가능성 강화
• 리스크 관리:
▶ 반대 방향 신호 발생 시 포지션 종료 또는 축소 고려
▶ 주요 기술적 수준과 결합하여 정밀한 손절점 설정 가능
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◆ 고급 설정 옵션
■ 추적 기간(N일) 조정
• 단기 설정: 10-15일 (민감한 신호, 빠른 반응, 단기 트레이딩에 적합)
• 중기 설정: 20-30일 (균형 잡힌 신호, 일반적 추세 감지, 기본 권장)
• 장기 설정: 40-50일 (강한 필터링, 주요 추세 전환만 감지, 장기 투자에 적합)
■ 타임프레임별 최적화
• 일봉 차트: 20-30일 설정 (중기 추세 변화 감지)
• 4시간 차트: 30-40 설정 (단기 스윙 트레이딩 신호)
• 시간봉 차트: 40-50 설정 (일중 추세 변화 감지)
• 일중 차트: 10-20 설정 (스캘핑 및 단기 거래)
■ 시장 유형별 조정
• 변동성 높은 시장: 높은 N값 (30-50) 설정으로 노이즈 필터링
• 추세 시장: 중간 N값 (20-30) 설정으로 주요 반전만 포착
• 횡보 시장: 낮은 N값 (10-20) 설정으로 범위 내 움직임 포착
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◆ 다른 지표와의 시너지
• 이동평균선: Market Structure Reversal Signals 신호와 주요 이동평균선 교차 지점이 일치할 때 신호 강화
• RSI: 과매수/과매도 수준에서의 Market Structure Reversal Signals 신호는 반전 가능성 높임
• 볼륨 지표: 높은 볼륨과 함께 발생하는 Market Structure Reversal Signals 신호는 신뢰도 향상
• 피보나치 레벨: 주요 피보나치 레벨에서 발생하는 Market Structure Reversal Signals 신호는 중요한 전환점 제공
• 채널 지표: 가격 채널의 상단/하단 돌파와 Market Structure Reversal Signals 신호 일치 시 강력한 돌파 확인
─────────────────────────────────────
◆ 결론
52SIGNAL RECIPE Market Structure Reversal Signals는 시장의 구조적 변화를 객관적으로 식별하여 잠재적인 추세 전환점을 명확하게 시각화합니다. 최근 N일 고점/저점 돌파를 통해 방향성 변화를 감지하는 단순하면서도 강력한 접근 방식은 다양한 시장 환경과 트레이딩 스타일에 적용할 수 있는 유연성을 제공합니다. 중복 신호 방지 메커니즘과 확정 봉 기반 신호 생성은 신호의 품질과 신뢰성을 크게 향상시킵니다. 다른 기술적 지표와 결합하여 사용할 때 시너지 효과를 극대화할 수 있으며, 트레이더에게 시장의 전환점을 조기에 포착할 수 있는 귀중한 도구를 제공합니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Session HL + Candles + AMD (Nephew_Sam_)Session HL + Candles + AMD (Nephew_Sam_)
This indicator marks out intraday sessions summarized into single candles, with an additional option to mark out the HL of each session. Perfect for understanding AMD within a glance (accumulation-manipulation-distribution)
Features:
Session High/Low lines with customizable colors and labels
Optional session candles displayed on the right side of the chart
Timezone support for global traders
Customizable bull/bear candle colors
Works on timeframes up to 1 hour
Perfect for:
Identifying session liquidity levels
Tracking session ranges and breakouts
Multi-timeframe session analysis
ICT methodology traders
Settings:
Choose your timezone for accurate session detection
Toggle session candles and HL lines independently
Customize colors, line styles, and labels
Set maximum timeframe (up to 1 hour)
AI Breakout Bands (Zeiierman)█ Overview
AI Breakout Bands (Zeiierman) is an adaptive trend and breakout detection system that combines Kalman filtering with advanced K-Nearest Neighbor (KNN) smoothing. The result is a smart, self-adjusting band structure that adapts to dynamic market behavior, identifying breakout conditions with precision and visual clarity.
At its core, this indicator estimates price behavior using a two-dimensional Kalman filter (position + velocity), then enhances the smoothing process with a nonlinear, similarity-based KNN filter. This unique blend enables it to handle noisy markets and directional shifts with both speed and stability — providing breakout traders and trend followers a reliable framework to act on.
Whether you're identifying volatility expansions, capturing trend continuations, or spotting early breakout conditions, AI Breakout Bands gives you a mathematically grounded, visually adaptive roadmap of real-time market structure.
█ How It Works
⚪ Kalman Filter Engine
The Kalman filter models price movement as a state system with two components:
Position (price)
Velocity (trend direction)
It recursively updates predictions using real-time price as a noisy observation, balancing responsiveness with smoothness.
Process Noise (Position) controls sensitivity to sudden moves.
Process Noise (Velocity) controls smoothing of directional flow.
Measurement Noise (R) defines how much the filter "trusts" live price data.
This component alone creates a responsive yet stable estimate of the market’s center of gravity.
⚪ Advanced K-Neighbor Smoothing
After the Kalman estimate is computed, the script applies a custom K-Nearest Neighbor (KNN) smoother.
Rather than averaging raw values, this method:
Finds K most similar past Kalman values
Weighs them by similarity (inverse of absolute distance)
Produces a smoother that emphasizes structural similarity
This nonlinear approach gives the indicator an AI feature — reacting fast when needed, yet staying calm in consolidation.
█ How to Use
⚪ Trend Recognition
The line color shifts dynamically based on slope direction and breakout confirmation.
Bullish conditions: price above the mid band with positive slope
Bearish conditions: price below the mid band with negative slope
⚪ Breakout Signals
Price breaking above or below the bands may signal momentum acceleration.
Combine with your own volume or momentum confirmation for stronger entries.
Bands adapt to market noise, helping filter out low-quality whipsaws.
█ Settings
Process Noise (Position): Controls Kalman filter’s sensitivity to price changes.
Process Noise (Velocity): Controls smoothing of directional component.
Measurement Noise (R): Defines how much trust is placed in price data.
K-Neighbor Length: Number of historical Kalman values considered for smoothing.
Slope Calculation Window: Number of bars used to compute trend slope of the smoothed Kalman.
Band Lookback (MAE): Rolling period for average absolute error.
Band Multiplier: Multiplies MAE to determine band width.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
