Date Marker GPTDate Marker GPT
By Jimmy Dimos (corrected by ChatGPT-o3)
Description
This overlay indicator automatically plots vertical lines at each weekly option-expiration timestamp (Friday at 3 PM CST) for both historical and upcoming periods, helping you visualize key expiration dates alongside your price action and regression tools. Shown is my Date Maker GPT vertical blue Lines, Linear Regression Channel(not part of my script) and zigzag++ also not part of my script.
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Key Features
• Past Expirations: Draws 12 past Friday markers at 3 PM CST
• Future Expirations: Projects 12 upcoming Friday markers at 3 PM CST
• Timezone Handling: Uses UTC internally (21:00 UTC = 3 PM CST)
• Customizable: num_fridays_past and num_fridays_future inputs let you adjust how many weeks to display
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How It Works
1. Timestamp Calculation
• Uses Pine Script’s dayofweek() and timestamp() functions to find each Friday at the target hour.
• Two helper functions, get_previous_friday() and get_next_friday(), compute offsets in days/weeks based on the current bar’s date.
2. Drawing Lines
• Loops through the specified number of weeks in the past and future.
• Calls line.new() for each expiration timestamp, extending lines across the entire chart.
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Usage Tips
• Overlay this script on any OHLC chart to see how price tends to cluster around option expirations.
• Combine with a linear regression or trend-channel indicator to anticipate likely trading ranges leading into expiration.
• Tweak the num_fridays_past and num_fridays_future parameters to focus on shorter or longer horizons.
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Disclaimer: This tool is provided for educational and analytical purposes only. It is not financial advice. Always conduct your own research and risk management.
Forecasting
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source)
This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT.
✅ What This Script Does
Crypto DanR 1.4.2 integrates the following advanced features:
Break of Structure (BOS) & Change of Character (CHoCH):
Detects key shifts in market structure
Helps confirm trend direction and reversal points
Fair Value Gaps (FVG):
Displays unmitigated liquidity voids using a style inspired by LuxAlgo
Highlights potential retracement zones where smart money may re-enter
Equal Highs / Equal Lows (EQH/EQL):
Marks liquidity zones that institutions often target before reversals
Order Blocks (OB):
Identifies potential institutional demand/supply zones
Option to filter by wick, body, or mitigation logic
Fibonacci Volatility Bands (based on BigBeluga’s logic):
Detects potential price extremes using Fib extensions on volatility
10 Moving Averages in One (inspired by hiimannshu's script):
Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe
Ideal for trend filtering or dynamic support/resistance
Vector Candles (TradersReality / PVSRA):
Color-coded candles showing real-time volume pressure and trend bias
Visual Trade Plan:
Optional overlay for entry, stop-loss, and take-profit planning
Displays risk-to-reward ratio and potential % gain/loss live
🧠 How It Works
The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum.
This combination allows traders to:
Enter on mitigations or breakouts
Set stops outside liquidity zones
Manage trades visually with dynamic risk/reward levels
📊 Best Use Cases
15m or 1h scalping (ideal)
Swing trading on 4h
Works well on crypto, FX, and indices
🙏 Credits
TradersReality for PVSRA logic via public library
LuxAlgo for FVG inspiration
hiimannshu for 10-in-1 MA logic
BigBeluga for Fibonacci Bands methodology
All reused logic is significantly modified and part of a broader framework.
📌 Notes
Script is open-source to promote transparency and collaboration
Please do not copy-paste and republish without adding meaningful improvements
Feedback and suggestions welcome!
Market to NAV Premium Arbitrage Alpha IndicatorBitcoin treasury companies such as Microstrategy are known for trading at significant premiums. but how big exactly is the premium? And how can we measure it in real time?
I developed this quantitative tool to identify statistical mispricings between market capitalization and net asset value (NAV), specifically designed for arbitrage strategies and alpha generation in Bitcoin-holding companies, such as MicroStrategy or Sharplink Gaming, or SPACs used primarily to hold cryptocurrencies, Bitcoin ETFs, and other NAV-based instruments. It can probably also be used in certain spin-offs.
KEY FEATURES:
✅ Real-time Premium/Discount Calculation
• Automatically retrieves market cap data from TradingView
• Calculates precise NAV based on underlying asset holdings (for example Bitcoin)
• Formula: (Market Cap - NAV) / NAV × 100
✅ Statistical Analysis
• Historical percentile rankings (customizable lookback period)
• Standard deviation bands (2σ) for extreme value detection (close to these values might be seen as interesting points to short or go long)
• Smoothing period to reduce noise
✅ Multi-Source Market Cap Detection
• You can add the ticker of the NAV asset, but if necessary, you can also put it manually. Priority system: TradingView data → Calculated → Manual override
✅ Advanced NAV Modeling
• Basic NAV: Asset holdings + cash.
• Adjusted NAV: Includes software business value, debt, preferred shares. If the company has a lot of this kind of intrinsic value, put it in the "cash" field
• Support for any underlying asset (BTC, ETH, etc.)
TRADING APPLICATIONS:
🎯 Pairs Trading Signals
• Long/Short opportunities when premium reaches statistical extremes
• Mean reversion strategies based on historical ranges
• Risk-adjusted position sizing using percentile ranks
🎯 Arbitrage Detection
• Identifies when market pricing significantly deviates from fair value
• Quantifies the magnitude of mispricing for profit potential
• Historical context for timing entry/exit points
CONFIGURATION OPTIONS:
• Underlying Asset: Any symbol (default: COINBASE:BTCUSD) NEEDS MANUAL INPUT
• Asset Quantity: Precise holdings amount (for example, how much BTC does the company currently hold). NEEDS MANUAL INPUT
• Cash Holdings: Additional liquid assets. NEEDS MANUAL INPUT
• Market Cap Mode: Auto-detect, calculated, or manual
• Advanced Adjustments: Business value, debt, preferred shares
• Display Settings: Lookback period, smoothing, custom colors
IT CAN BE USED BY:
• Quantitative traders focused on statistical arbitrage
• Institutional investors monitoring NAV-based instruments
• Bitcoin ETF and MSTR traders seeking alpha generation
• Risk managers tracking premium/discount exposures
• Academic researchers studying market efficiency (as you can see, markets are not efficient 😉)
Clarix 5m Scalping Breakout StrategyPurpose
A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves, using premium/discount zone filters and market bias conditions.
How It Works
The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones.
Buy signals trigger when price breaks the 15m high while in a discount zone
Sell signals trigger when price breaks the 15m low while in a premium zone
The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a backtest table with live trade results and an automatically updated win rate.
Features
Designed exclusively for the 5-minute timeframe
Custom 15-minute high/low breakout logic
Premium, Discount, and Equilibrium zone display
Built-in backtest tracker with live trade results, statistics, and win rate
Customizable start time, take profit, and stop loss settings
Real-time alerts on breakout signals
Visual markers for trade entries and failed trades
Consistent win rate exceeding 90–95% on average when following market conditions
Usage Tips
Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases.
Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
Markov Chain Trend ProbabilityA Markov Chain is a mathematical model that predicts future states based on the current state, assuming that the future depends only on the present (not the past). Originally developed by Russian mathematician Andrey Markov, this concept is widely used in:
Finance: Risk modeling, portfolio optimization, credit scoring, algorithmic trading
Weather Forecasting: Predicting sunny/rainy days, temperature patterns, storm tracking
Here's an example of a Markov chain: If the weather is sunny, the probability that will be sunny 30 min later is say 90%. However, if the state changes, i.e. it starts raining, how the probability that will be raining 30 min later is say 70% and only 30% sunny.
Similar concept can be applied to markets price action and trends.
Mathematical Foundation
The core principle follows the Markov Property: P(X_{t+1}|X_t, X_{t-1}, ..., X_0) = P(X_{t+1}|X_t)
Transition Matrix :
-------------Next State
Current----
--------P11 P12
-----P21 P22
Probability Calculations:
P(Up→Up) = Count(Up→Up) / Count(Up states)
P(Down→Down) = Count(Down→Down) / Count(Down states)
Steady-state probability: π = πP (where π is the stationary distribution)
State Definition:
State = UPTREND if (Price_t - Price_{t-n})/ATR > threshold
State = DOWNTREND if (Price_t - Price_{t-n})/ATR < -threshold
How It Works in Trading
This indicator applies Markov Chain theory to market trends by:
Defining States: Classifies market conditions as UPTREND or DOWNTREND based on price movement relative to ATR (Average True Range)
Learning Transitions: Analyzes historical data to calculate probabilities of moving from one state to another
Predicting Probabilities: Estimates the likelihood of future trend continuation or reversal
How to Use
Parameters:
Lookback Period: Number of bars to analyze for trend detection (default: 14)
ATR Threshold: Sensitivity multiplier for state changes (default: 0.5)
Historical Periods: Sample size for probability calculations (default: 33)
Trading Applications:
Trend confirmation for entry/exit decisions
Risk assessment through probability analysis
Market regime identification
Early warning system for potential trend reversals
The indicator works on any timeframe and asset class. Enjoy!
Clarix Ichimoku DashboardPurpose
The Mariam Ichimoku Dashboard is designed to simplify the Ichimoku trading system for both beginners and experienced traders. It provides a complete view of trend direction, strength, momentum, and key signals all in one compact dashboard on your chart. This tool helps traders make faster and more confident decisions without having to interpret every Ichimoku element manually.
How It Works
1. Trend Strength Score
Calculates a score from -5 to +5 based on Ichimoku components.
A high positive score means strong bullish momentum.
A low negative score shows strong bearish conditions.
A near-zero score indicates a sideways or unclear market.
2. Future Cloud Bias
Looks 26 candles ahead to determine if the future cloud is bullish or bearish.
This helps identify the longer-term directional bias of the market.
3. Flat Kijun / Flat Senkou B
Detects flat zones in the Kijun or Senkou B lines.
These flat areas act as strong support or resistance and can attract price.
4. TK Cross
Identifies Tenkan-Kijun crosses:
Bullish Cross means Tenkan crosses above Kijun
Bearish Cross means Tenkan crosses below Kijun
5. Last TK Cross Info
Shows whether the last TK cross was bullish or bearish and how many candles ago it happened.
Helps track trend development and timing.
6. Chikou Span Position
Checks if the Chikou Span is above, below, or inside past price.
Above means bullish momentum
Below means bearish momentum
Inside means mixed or indecisive
7. Near-Term Forecast (Breakout)
Warns when price is near the edge of the cloud, preparing for a potential breakout.
Useful for anticipating price moves.
8. Price Breakout
Shows if price has recently broken above or below the cloud.
This can confirm the start of a new trend.
9. Future Kumo Twist
Detects upcoming twists in the cloud, which often signal potential trend reversals.
10. Ichimoku Confluence
Measures how many key Ichimoku signals are in agreement.
The more signals align, the stronger the trend confirmation.
11. Price in or Near the Cloud
Displays if the price is inside the cloud, which often indicates low clarity or a choppy market.
12. Cloud Thickness
Shows whether the cloud is thin or thick.
Thick clouds provide stronger support or resistance.
Thin clouds may allow easier breakouts.
13. Recommendation
Gives a simple trading suggestion based on all major signals.
Strong Buy, Strong Sell, or Hold.
Helps simplify decision-making at a glance.
Features
All major Ichimoku signals summarized in one panel
Real-time trend strength scoring
Detects flat zones, crosses, cloud twists, and breakouts
Visual alerts for trend alignment and signal confluence
Compact, clean design
Built with simplicity in mind for beginner traders
Tips
Best used on 15-minute to 1-hour charts for short-term trading
Avoid entering trades when price is inside the cloud because the market is often indecisive
Wait for alignment between trend score, TK cross, cloud bias, and confluence
Use the dashboard to support your trading strategy, not replace it
Enable alerts for major confluence or upcoming Kumo twists
30s OR ProjectionsThis script gets the opening range for NQ,ES, and YM. It then created deviations based on this range as targets to take profit from. You may also use the deviations to enter into trades looking for the other side of the range. You have the ability to shade areas of the range.
Smart Trend Predictor (EMA + Vol + Volatility)//@version=5
indicator("Smart Trend Predictor (EMA + Vol + Volatility)", overlay=true)
// === Inputs ===
emaFastLength = input.int(20, title="Fast EMA")
emaSlowLength = input.int(50, title="Slow EMA")
volatilityLength = input.int(14, title="Volatility Period")
volumeLength = input.int(20, title="Volume MA Length")
// === Indicators ===
emaFast = ta.ema(close, emaFastLength)
emaSlow = ta.ema(close, emaSlowLength)
volatility = ta.stdev(close - close , volatilityLength)
volumeMA = ta.sma(volume, volumeLength)
// === Signal Conditions ===
buySignal = ta.crossover(emaFast, emaSlow) and volatility > ta.sma(volatility, 14) and volume > volumeMA
sellSignal = ta.crossunder(emaFast, emaSlow) and volatility > ta.sma(volatility, 14) and volume > volumeMA
// === Plot EMAs ===
plot(emaFast, title="Fast EMA", color=color.lime)
plot(emaSlow, title="Slow EMA", color=color.orange)
// === Plot Signals ===
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.small)
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.small)
Current Hourly Open Line with Sweep DetectionThis indicator marks out the high and low of the current hourly open candle.
Stats show, if the current hourly candle takes the high or low of the previous 1H candle there is a chance price returns to the hourly open depending on the time the sweep on the high or low occurred.
There is a high chance >75% price returns to hourly open of current candle if the sweep happens in the first 20 minutes.
There is a medium chance 50% price returns to hourly open of current candle if the sweep happens in the 20-40 minute range of the current candle.
There is a low 25% chance if sweep happens from :40-:59 minutes of the hour.
We use this to spot manipulation on the hourly timeframe, we only want to target hourly open if it happens in the first 20 minutes. We then want to trade in opposite direction of the first move of the hourly, w/ context of course.
The indicator / line will change colors based on the time the first sweep occurred. You can change them to how you want. For default, blue is just the hourly open with no sweep yet.
Green means go, and the sweep happens within the first 20 minutes, Yellow is medium chance, and Red is small chance.
FTM → SONIC Combined Candlesticksthis script combines the chart of FTM and SONIC to get a better overview of the entire price action
🚀 Turttle_Dalmata Indicator v5 ()Turttle_Dalmata™ is a proprietary, multi-timeframe confluence indicator that leverages a 9-factor lo
gic model to provide high-confidence entry signals across crypto and futures markets. Designed to su
pport intraday alpha generation, systematic execution filters, and automation.
Core Objective
To identify breakout-driven trades with directional conviction, minimal lag, and high statistical co
nfidence using real-time data and volatility-aware filters.
Signal Architecture (9-Factor Logic)
Signals are only generated when 7 or more of the following 9 confluences are simultaneously met:
1. EMA 200 (1m): Trend Filter
2. 1H VWAP Alignment: Institutional Flow Bias
3. RSI + RSI Slope: Momentum Confirmation
4. RSI HTF (15m): Multi-timeframe Confirmation
5. Volume Spike: Volatility Filter
6. Break of Structure: Price Action Trigger
7. Fair Value Gap: Smart Money Logic
8. CVC Line (5m): Orderflow Proxy
9. ATR Expansion: Volatility Acceleration
Output Signals
Buy = Green Triangle | Sell = Red Triangle
Signals are shown on-chart, non-repainting, and fire in real time.
Central Bank Divergence IndexCentral Bank Divergence Index (CBDiv) by CWRP blends foreign exchange (FX) market behavior and short-term interest rate (STIR) spreads to detect monetary policy divergence or convergence among major economies.
It calculates a composite Z-score index that tracks divergence between the US and other major economies using FX pairs USDJPY, EURUSD, GBPUSD, AUDUSD (With AUD acting as a proxy to the RMB) and short-term bond ETFs (SHY = U.S. 1–3Y Treasury, EWJ = Japan, IEUR = Europe).
SHY/EWJ and SHY/IEUR: If SHY outperforms, it means US short-term rates are rising relative to Japan/Europe.
How to Read:
Highlighting
Yellow = Diverging central bank policy (US > others) ; Hawkish
Blue = Converging policy (US < others) ; Dovish/Lagging
Gray = Neutral
Table
FX Divergence:
Positive (> +1) -> USD is strengthening unusually fast -> Fed is likely tighter than others
Negative (< -1) -> USD is weakening -> Other central banks might be tightening relative to the Fed
Rate Spread Divergence (Which acts as a proxy for interest rate divergence):
Positive -> U.S. rates are rising faster than Japan/Europe
Negative -> Foreign short-term rates outperforming U.S.
Composite:
Positive (> +1) -> Strong U.S. policy divergence (hawkish Fed)
Negative (< -1) -> Converging or dovish Fed
Neutral (Between -1 and +1) -> Neutral policy stance
Thank you for using the Central Bank Divergence Index by CWRP!
I'm open to all critiques and discussion around macroeconomics and hope you find use in this model!
Cross-Asset Risk Appetite IndexCross-Asset Risk Appetite Index (RiskApp) by CWRP combines multiple asset classes into a single risk sentiment signal to help traders and investors detect when the market is in a risk-on or risk-off regime.
It calculates a composite Z-score index based on relative performance between:
SPY / IEF: Equities vs Bonds
HYG / LQD: High Yield vs Investment Grade Credit
CL / GC: Oil vs Gold
VIX / MOVE: Equity vs Bond Market Volatility (inverted)
Each component reflects capital flows toward riskier or safer assets, with dynamic weighting (Equity/Bond: 30%, Credit: 25%, Commodities: 25%, Volatility: 20%) and smoothing applied for a cleaner signal.
How to Read:
Highlighting
Yellow = Risk-On sentiment (market favors risk assets)
Orange = Risk-Off sentiment (flight to safety)
Black Background = Neutral design for emotional detachment
Table
Equity/Bond Z-Score:
Positive (> +1) --> Stocks outperforming bonds --> Risk-On
Negative (< -1) --> Bonds outperforming stocks --> Risk-Off
Credit Spread Z-Score (HYG/LQD):
Positive --> High yield outperforming --> Investors seeking yield
Negative --> Flight to quality --> Credit concerns
Oil/Gold Z-Score:
Positive --> Oil outperforming --> Economic optimism
Negative --> Gold outperforming --> Defensive positioning
Volatility Spread (VIX/MOVE):
Positive --> Equity vol falling relative to bond vol --> Risk stabilizing
Negative --> Equity vol rising --> Caution / Risk-Off
Composite Index:
> +1 --> Strong Risk Appetite
< -1 --> Strong Risk Aversion
Between -1 and +1 --> Neutral regime
Thank you for using the Cross-Asset Risk Appetite Index by CWRP!
I'm open to all critiques and discussion around macro-finance and hope this model adds clarity to your decision-making.
Falcoin+ TelemetryFalcoin+ Telemetry
Based on 5 common indicators collectively:
MACD (typical settings of 10/24/7)
RSI
Bollinger Bands
MA
ATR (Volume and Volatility)
Shows:
Cumulative score of all indicators (-2 to +2)
Long-term and short-term high and low bands
Prediction line
Falcoin+ ForecastingFalcoin+ Forecasting
Primarily based on MACD (typical settings of 10/24/7).
Shows predictive future waves.
TDT TOOL TWO (V1.0) by tradingpunks.comTDT TOOL TWO
This a condition scan indicator for low timeframe intraday trading and scalping.
Access is invite only.
Please visit tradingpunks.com to get your personal access.
Daily Gain/Loss Statistics with Statistical Projections📊 Day Statistics Pro with Statistical Projections
🎯 What It Does:
This indicator combines historical day-of-week analysis with advanced statistical projections to help traders understand market patterns and assess target probability.
📈 Key Features:
Historical Analysis:
Day Rankings: Identifies best/worst performing days of the week
Win/Loss Rates: Shows percentage of positive vs negative days
Performance Metrics: Average gains, losses, and intraday movements
Current Day Highlighting: Emphasises today's historical performance
Statistical Projections:
Target Probability: Estimates likelihood of reaching price goals
Scenario Analysis: Best case, average, and worst case timing
Required Performance: Daily % needed to hit targets in timeframe
Confidence Intervals: Statistical margins of error around predictions
🚀 Primary Use Cases:
Entry/Exit Timing: Trade on historically strong/weak days
Position Sizing: Larger positions on high-probability days
Target Setting: Realistic price goals based on historical patterns
Risk Management: Understand typical daily volatility patterns
Swing Trading: Plan multi-day trades using day-of-week edges
Options Strategy: Time purchases around high-probability days
💡 Who Benefits:
Day Traders: Optimise entry/exit timing
Swing Traders: Plan multi-day position strategies
Options Traders: Time premium purchases/sales
Risk Managers: Understand daily volatility patterns
Quantitative Analysts: Data-driven pattern recognition
⚡ Quick Decision Support:
See if today is historically bullish or bearish
Assess if your price target is statistically realistic
Understand probability ranges rather than just hoping
Make data-backed rather than emotional trading decisions
Bottom Line: Transforms gut feelings into statistical insights, helping you trade with historical patterns rather than against them.
SBMS Timing Candle(5m) + Guru Candle(1m)This is giving you the particular candle in 5m which may decide the trend of the day.
If selected Guru candle show then it gives marking on GURU candle in 1m.
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
─────────────────────────────────────
◆ 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.
🔥 Trendline Breakout 5-15-1hr-4hrs-DAY-WEEK (HTF)//The percentLen (length for HH/LL calculation) defines how many candles (bars) to look back when calculating the highest high (HH) and lowest low (LL) values on the selected timeframe (percentTF).
//How It Works:
//ta.highest(high, percentLen)
//Finds the highest price in the last percentLen candles on the selected timeframe.
//Example: If percentLen = 20, it finds the highest high of the last 20 candles.
//ta.lowest(low, percentLen)
//Finds the lowest price in the last percentLen candles on the selected timeframe.
//For previous HH/LL (hh_prev and ll_prev), the script calculates the HH/LL from the period before the current percentLen bars, using:
//pine
//Copy
//Edit
//ta.highest(high, percentLen * 2)
//This shifts the window back by percentLen bars to get the previous range.
//Why Is It Needed?
//The script calculates % change between the current HH/LL and the previous HH/LL:
//pine
//Copy
//Edit
//hh_change = ((hh_now - hh_prev) / hh_prev) * 100
//ll_change = ((ll_now - ll_prev) / ll_prev) * 100
//This shows how much the market's extremes (highest highs & lowest lows) have shifted compared to the last segment.
//Example:
//Timeframe (percentTF) = 1 Day
//Length (percentLen) = 20
//This means:
//hh_now = highest high of the last 20 days.
//hh_prev = highest high of the 20 days before that.
//The % change tells you if the current 20-day range’s top is higher/lower than the previous 20-day range’s top.
KEY MARKET SESSION EU/US RANGE LEVELS - KLT🔹 KEY MARKET SESSION EU/US RANGE LEVELS - KLT
This indicator highlights critical trading levels during the European and U.S. sessions, with Overbought (OB) and Oversold (OS) markers derived from each session's price range.
It’s designed to support traders in identifying key zones of interest and historical price reactions across sessions.
✳️ Features
🕒 Session Recognition
European Session (EU): 08:00 to 14:00 UTC
United States Session (US): 14:30 to 21:00 UTC
The indicator automatically detects the current session and updates levels in real time.
📈 Overbought / Oversold (OB/OS) Levels
Helps identify potential reversal or reaction zones.
🔁 Previous Session OB/OS Crosses
OB/OS levels from the previous session are plotted as white crosses during the opposite session:
EU OB/OS shown during the US session
US OB/OS shown during the EU session
These levels act as potential price targets or reaction areas based on prior session behavior.
🎨 Session-Based Color Coding
EU Session
High/Low: Orange / Fuchsia
OB/OS: Orange / Lime
Previous OB/OS: White crosses during the US session
US Session
High/Low: Aqua / Teal
OB/OS: Aqua / Lime
Previous OB/OS: White crosses during the EU session
🧠 How to Use
Use the OB/OS levels to gauge potential turning points or extended moves.
Watch for previous session crosses to spot historically relevant zones that may attract price.
Monitor extended High/Low lines as potential magnets for price continuation.
🛠 Additional Notes
No repainting; levels are session-locked and tracked in real time.
Optimized for intraday strategies, scalping, and session-based planning.
Works best on assets with clear session behavior (e.g., forex, indices, major commodities).
Ayman Entry Signal – With HTF + Pin Bar
A professional and versatile trading indicator combining classic technical analysis with Smart Money Concepts to detect high-probability entry points.
Designed especially for scalping gold and forex pairs on lower timeframes. Fully customizable to suit any trading style.
✅ Key Features:
EMA Trend Confirmation
Break of Structure (BoS) Detection
Order Block Zone Recognition
Fair Value Gap (FVG) Confirmation
Liquidity Sweep Detection
Pin Bar Candlestick Confirmation
Higher Timeframe Confirmation (HTF EMA + HTF BoS)
🎯 Smart Risk Management:
Automatically calculates Stop Loss (SL) and Take Profit (TP) based on the selected timeframe.
Dynamically adjusts lot size based on account capital and risk percentage.
📈 How It Works:
The indicator triggers a Buy or Sell signal only when a selected set of conditions are met, including:
Trend direction (EMA crossover)
Break of structure
Presence within strong supply/demand zones
Confirmation from higher timeframe
Reversal Pin Bar pattern
🛎 Alerts:
Built-in alert system notifies you instantly when a valid Buy or Sell signal is triggered.
⚙️ Customizable Settings:
Risk Percentage
Capital Size
HTF timeframe
Enable/Disable individual filters (EMA, BoS, OB, FVG, Liquidity, Pin Bar, HTF)
📌 Best Timeframes:
1-min, 5-min, and 15-min – especially during high-volume sessions like London or New York.
🔸 Note:
This is not financial advice. Always backtest and use manual confirmations before live trading.