Custom Screener with Alerts @RAMLAKSHMANDASScan the Nifty 50 directly on TradingView!
This script provides a real-time screener for the top 40 Nifty 50 stocks ranked by current index weightage (starting from RELIANCE, HDFCBANK, ICICIBANK, etc.), offering rapid on-chart multi-symbol analysis.
Features
Multi-symbol screener: Monitors the leading 40 Nifty constituents (NSE equities) in one view.
Full indicator table: Get snapshot values for Price, RSI, TSI, ADX, and SuperTrend for every symbol.
Dynamic filtering: Instantly filter results by any indicator value (e.g., highlight all stocks with RSI below 30).
Customizable symbols: Easily edit the symbol list to match updated Nifty composition or your stocks of interest.
Multi-timeframe support: Table values will update for any chosen chart timeframe.
Real-time alerts: Set up alerts for filtered stocks matching your strategy.
Sentiment
First Round Break TrackerA simple indicator that tracks the first-time breakouts of round number levels (psychological levels) on any chart. Clean interface with minimal configuration needed
First Breakout Only : Marks each round level only once when broken for the first time
Customizable Step Size : Adjustable round number intervals (e.g., 100, 1000, 10000 etc.)
Clean Visual Alerts : Green labels with "FIRST:" prefix appear exactly at breakout moments
Real-time Info Panel : Shows current price, next target level, and total breakouts count
🧠 Rogue BTC Dominance + BTC Price MonitorLiquidity never lies.
When whales are done pumping, they exit before price tanks, often during sideways chop or fake strength.
So we build a tracker that detects:
Volume drop during uptrend (distribution phase)
Exchange inflows of coins
Rising USDT.D while price holds → stealth exit
Divergence between price & on-chain flows
👁️ Quick Use Case: BTC/USDT with USDT.D Overlay
If you see this pattern:
BTC sideways or slow uptrend
Volume declining
USDT.D rising
BTC.D holding flat
→ Liquidity Exit Detected.
Smart money is exiting quietly, waiting for retail to hold the bag.
Cartelscope | Alchemical IntelSUMMARY
This unique tool looks beneath the surface of price, at a range of fundamental core catalyst metrics that tend to lead & influence price -- the price of most high cap crypto assets, most of the time.
Cartelcope offers a range of fundamental visualizations out-of-the-box, derived from first principles crypto metrics.
Like Stablecoin Supply, Coinbase Premium & Tether Dominance, as well as custom metrics that measure whale activity and macro sentiment.
Stack them vertically into a dashboard, for a top down view of some of the most relevant leading indicators. All normalized to each other.
TRADE SIGNALS
Cartelscope generates long & short signals, utilizing cumulative volume thresholds & horizontal oscillator thresholds.
Signals are designed for use with most (but certainly not all) high cap crypto assets. See the list of recommended assets at the end of these docs.
Most Cartelscope signals will make good trade entries (or exits), but no signals are perfect, and Cartelscope will never have a 100% hit rate.
ALERTS ENABLED
Cartelscope alerts are enabled out-of-the-box. With JSON automation available to Premium users.
SIGNAL CONFLUENCE
A confluence of signals from multiple metrics is a high probability trade setup.
Consider stacking & minimizing your leading indicators, for the clearest view of all signals.
Cartelscope's first two settings are important: SCOPE & LENS.
SCOPE is your data source:
What's being visualized.
LENS is your zoom:
Cumulative (zoomed out) for better long & short signals.
Realtime (zoomed in) for more precision data.
CUMULATIVE & REALTIME SIGNALS
Cumulative signals should be expected to out-perform realtime signals. They're higher timeframe, and higher conviction.
Realtime signals are shorter term. Their main use case is day to day momentum scalps, in the direction of HTF trend, with conservative targets.
Their other use case is market visualization, in a dashboard. Your focus should probably skew cumulative, but there's room for both.
SCOPES AT A GLANCE
The scopes tooltip is a helpful quickview of each use case -- expanded upon in much greater depth throughout the rest of these docs.
EXPLORING EACH SCOPE, AND THEIR USE CASES:
SMART EXCHANGE VOLUME
Volume & open interest from exchanges dominated by whales and smart money.
Divided by the opposite -- volume from 'dumb money' exchanges. Kim Chi Premium was made for that. No disrespect to our Korean friends.
Setting LENS set to cumulative reveals picture perfect buy signals, at every local low for the last 3 years.
Setting LENS to realtime offers shorter term trade signals.
The stronger the indicator print, the higher (or lower) it goes on its Y axis -- the stronger you should consider the signal.
FIAT LIQUIDITY RATIO
USDT / USD, a proxy for Tether entering (or exiting) centralized exchanges.
Expect price to follow Tether closely, in either direction.
COINBASE PREMIUM
Coinbase spot BTC premium (or discount) / BTCUSD Index
Frequent cumulative & realtime signals, for shorter term swing entries.
STABLECOIN SUPPLY
USDT + USDC market cap
Unlike Fiat Liquidity Ratio, which visualizes stablecoin inflow momentum, this metric measures market cap -- raw purchasing power across the marketplace. Which tends to reliably lead price.
In cumulative mode, signals are good, but we're less interested in them. For Stablecoin Supply, we're interested in oscillator momentum. Which reliably tends to lead price -- by days, sometimes by weeks.
In realtime mode, outsized changes to stablecoin supply tend to resolve in the direction of the change, later that same day or the next day.
BITFINEX BTC MARGIN LONGS / MARGIN SHORTS
Some call it Tether's 'man behind the curtain'. The ratio of BTC margin longs to shorts on Bitfinex plays an outsized role in day-to-day price action.
This metric paradoxically counter-trades the broader market in realtime mode, while revealing true market direction in cumulative mode.
The cumulative higher timeframe view:
In Realtime, on lower timeframes:
ESCOBAR EXPRESS
Cartelscope's most lethal weapon & highest hit rate scope.
Escobar signals are highly directionally accurate, within a 24-48 hour window. Cumulative signals should be considered dated after 48 hours.
Realtime signals are usually excellent.
TETHER DOMINANCE
USDT.D
Cumulative USDT.D generates extraordinary buy signals at key swing low pivots, like smart exchange volume.
Realtime USDT.D tends to generate well-timed lower timeframe long & short signals.
MACRO CREDIT SPREADS
This global macro metric generates some of our most reliable swing entries, in cumulative mode.
SIGNAL STRENGTH
HOW TO NAVIGATE MIXED SIGNALS
RECOMMENDED ASSETS
The author has tested all of the above signals on the following list of high cap crypto assets. Signals generally perform well on each of these assets.
Other assets may or may not perform as well with these signals. The lower the token's FDV, the less you should expect these signals to perform.
TIMEFRAMES FOR USE
For HTF big picture, use the 4H, 8H or 12H. To zoom in for day to day use, use the 1H or 15M.
SPREAD SYMBOL TRADEOFFS
Spread symbols in tradingview have limited history. Which means less backtesting data than we prefer. Most of our metrics print 2 years of history. Some print more.
Also, our scopes are 'pinned' to a timeframe -- so you see the same print, no matter what timeframe you like to use. That's a good thing. But it has the same tradeoffs -- limited history, less backtesting data.
🚀 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.
🚀 Turttle_Dalmata Indicator v4 ()Turttle_Dalmata™ is a proprietary, multi-timeframe confluence indicator that leverages a 9-factor logic model to provide high-confidence entry signals across crypto and futures markets. It is designed to support:
• Intraday alpha generation
• Systematic execution filters
• Signal delivery for automation/bot trading
• Enhanced trader discretion in high-volatility conditions
It does not repaint, and is compatible with TradingView alerts, webhook integrations, and strategy backtesting.
Quantized Market Profile (TPO)Quantized Market Profile (QMP)
Advanced TPO-based price distribution built for structural auction clarity. Fully customisable. Built from pure AMT logic.
📊 Core Concept
Quantized Market Profile (QMP) builds out classic TPO structures with modern flexibility. Each row represents a quantized price level (TPO row) derived from auto or manual tick sizing. Profiles develop across timeframes or fixed sessions, showing value development, distribution shape, and key auction levels.
Unlike TradingView’s built-in TPO/MP tools, QMP supports profiles as small as M5 all the way up to Monthly+ , giving you full control over auction resolution.
This tool captures and renders:
• Profile shapes
• POC
• Value Area
• Single Prints
• Session open/close
• Initial Balance
• Midpoint extensions
• Split or Unsplit profiles
⚙️ How It Works
Tick Quantization:
• Auto: Calculates row size from recent high-low range across N bars
• Manual: Fixed row size via user input
TPO Rendering:
• Choose letters, squares, or circles to show price visits per row
• Split mode : Each subperiod (e.g. 30m) is shown as a distinct column
• Unsplit mode : TPOs are stacked into a single distribution
• Toggle open/close markers and initial balance display
Session Logic:
• Use Intraday (e.g. 30m, 90m), Sessions, Daily, Weekly, Monthly, or Fixed ranges
• Supports custom session times and timezones
• Minimum profile window: 5 minutes
• Maximum: Unlimited
POC & Value Area:
• POC = price level with highest TPO count
• Value Area expands around POC to cover the defined percentage
• Optional extensions project levels across the chart
IB, Midpoint, and High/Low Extensions:
• Marks Initial Balance range
• Midpoint by High/Low or TPO-weighted median
• Dotted guide lines for session extremes
📈 Visual Output
Each TPO rendered as a letter or symbol
Profile may be split or stacked depending on context
Open/Close markers and profile annotations supported
Extensions for VAH, VAL, POC, IB, Midpoint, High/Low
🔧 Inputs
Tick Size Mode: Auto or Manual
Profile Timeframe: Intraday (minutes), Sessions, Days, Weeks, Months, Fixed
Split Profile: Toggle between structured (split) and stacked (unsplit) views
Session Time & Timezone: Supports any market type
Rendering Options: Font, TPO character, size, open/close display
Extensions: Enable/disable guides for key auction levels
🧠 Use Cases
Monitor structural shifts in value
Support responsive or initiative trade planning
Compare session distribution shapes
Use extended levels as trade triggers or zones
Pair with histogram/bar tools to complete auction view
Part of the Quantized AMT Suite:
• Quantized Rotation Factor Bars
• Quantized Rotation Factor Histogram
• Quantized Market Profile
Developed by: @luc_crypto
License: Mozilla Public License 2.0
Quantized Rotation Factor BarsQuantized Rotation Factor Bars (QRF Bars)
A pure Auction Market Theory overlay. Non-cumulative rotation displayed as directional bar structure.
📊 Core Concept
QRF Bars use the Rotation Factor to track auction structure at the close of each subperiod (e.g. 30m, 1h).
Each bar reflects whether the auction is expanding upward, downward, or coiling — based on quantized TPO logic.
This is not a trend tool. It shows market effort in structural terms, period by period.
⚙️ How It Works
Tick Quantization:
• Uses either a manual tick size or auto-calculated ticks-per-row
• Auto mode samples a defined number of bars (default: 300) to calculate typical TPO row size
Subperiod Rotation Factor:
On each new bar, the current high and low are quantized. Then compared to the previous bar's values:
• +2 = Higher High and Higher Low
• +1 = Higher High only
• 0 = Inside / Equal Range
• –1 = Lower Low only
• –2 = Lower High and Lower Low
Independent Logic:
Each bar evaluates structure in isolation. No accumulation or smoothing.
A true read on recent auction behaviour.
📈 Visual Output
Custom Candles:
• Plotted directly on chart
• Body, wick, and border style vary depending on the rotation factor
• Strong moves show with vivid accents
• Neutral or zero-rotation bars display transparently
Directional Encoding:
• Expansion up/down is immediately visible in bar structure
• Inside bars fade out, highlighting compression or transition
Overlay Mode:
• Plots on price chart — integrates seamlessly with your existing strategy or structure
🔧 Inputs
Manual Ticks per TPO Row: Optional fixed value. Use 0 to enable auto mode
Auto Tick Sample Bars: Defines range for tick auto-calculation
🧠 Use Cases
Monitor effort and structural direction
Contextual bias for responsive/initiative trades
Companion to TPO or Volume Profile tools
Read auction strength or failure bar by bar
Frame trade entries or exits based on auction shifts
Developed by: @luc_crypto
License: Mozilla Public License 2.0
Quantized Rotation Factor HistogramQuantized Rotation Factor Histogram (QRF Histogram)
Auction Market Theory, quantized. Tracks cumulative rotation factor with precision and visual clarity.
📊 Core Concept
This histogram tracks the cumulative Rotation Factor over each defined Auction Period (e.g. Daily, Weekly), using quantized high/low range movement to measure market effort. Each bar represents a structural push or pull in auction behaviour.
Built to reveal whether value is being accepted or rejected within a session.
⚙️ How It Works
Tick Quantization: Uses either:
• Manual input ticks
• Auto-calculated tick size based on recent range over a sample of bars (default: 300)
Auction Periods: User-defined timeframe (default: D) resets the cumulative auctionFactor each period
Subperiod Logic: At every new bar (subperiod), compares current quantized high/low to prior to calculate Rotation Factor :
• +2 = Higher High & Higher Low
• +1 = Higher High only
• 0 = Inside/Equal
• –1 = Lower Low only
• –2 = Lower High & Lower Low
Cumulative Calculation: Adds each subperiod’s rotation value to build a running total for the Auction Period
Resets cleanly at start of each new auction frame
📈 Visual Output
Histogram Columns:
• Plotted at the close of each subperiod
• Height = cumulative auctionFactor
• Colour reflects positive, negative, or neutral direction (fully configurable)
Subperiod Labels:
• Alphabet characters (A–Z, a–z) show the bar index since the auction period start
• Helps align subperiod structure with other profile tools (e.g. TPO or bar-based splits)
Auction Period Separator:
• Dotted vertical line marks start of each new auction period
• Helps contextualise histogram resets
🔧 Inputs
Auction Period: Any higher timeframe (e.g. D, W, 4H)
Manual Ticks per TPO Row: Optional override (0 = auto)
Auto Tick Sample Bars: Controls how many bars to evaluate when using auto tick mode
Plot Colours: Set colours for positive, negative, and zero values
Label Size: Customisable subperiod letter display
🧠 Use Cases
Intraday or swing auction bias detection
Cumulative rotation context inside any TPO structure
Effort analysis in initiative or responsive sequences
Session strength/weakness tracking
Pairs well with volume, delta, or TPO-based overlays
Developed by: @luc_crypto
License: Mozilla Public License 2.0
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.
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
◆ Overview
Coinbase Institutional Smart Money Detector is an innovative indicator that detects the buying and selling movements of institutional investors through Coinbase Prime in real-time. This powerful tool tracks the flow of funds from large institutions to provide valuable signals before significant market direction changes occur. It can be applied to Bitcoin charts on any exchange, allowing traders to follow the "smart money" movements of institutions anytime, anywhere.
The unique strength of this indicator lies in its comprehensive assessment of institutional investors' consecutive trading behaviors, volume patterns, and trend strength by analyzing Coinbase data in real-time. By providing clear visual representation of institutional fund flow data that is difficult for ordinary traders to access, you gain the opportunity to move alongside the big players in the market.
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◆ Key Features
• Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
• Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
• Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
• Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
• Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
• Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
• Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
• Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
• Customizable Settings: Allows customization of key parameters to match your trading style
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◆ Understanding Signal Types
■ Institutional Buy Signal
• Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
• Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
• Signal Strength Factors:
▶ Consecutive price increase patterns
▶ Above-average volume
▶ Strong upward trend strength measurement
▶ Significant price movement
■ Institutional Sell Signal
• Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
• Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
• Signal Strength Factors:
▶ Consecutive price decrease patterns
▶ Above-average volume
▶ Strong downward trend strength measurement
▶ Significant price movement
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◆ Understanding Trend Strength
■ Trend Strength Measurement Method
• Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
• Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
• Strength Threshold: Strong/weak determination according to user-configurable threshold
• Calculation Method:
▶ Upward trend strength = (Number of upward candles) / (Total analysis period)
▶ Downward trend strength = (Number of downward candles) / (Total analysis period)
▶ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
■ Utilizing Trend Strength
• Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
• Trend Confirmation: Evaluates the health and sustainability of the current market trend
• Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
• Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
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◆ Practical Trading Applications
■ Institutional Buy Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional buy signal during a downtrend
▶ Entry: Buy after signal confirmation in the next candle
▶ Stop Loss: Below the low of the signal candle
▶ Take Profit: When reaching previous major resistance or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional buy signal after correction in an uptrend
▶ Entry: Buy after signal confirmation
▶ Stop Loss: Below recent major low
▶ Take Profit: Gradually take profits considering trend strength
■ Institutional Sell Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional sell signal during an uptrend
▶ Entry: Sell after signal confirmation in the next candle
▶ Stop Loss: Above the high of the signal candle
▶ Take Profit: When reaching previous major support or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional sell signal after bounce in a downtrend
▶ Entry: Sell after signal confirmation
▶ Stop Loss: Above recent major high
▶ Take Profit: Gradually take profits considering trend strength
■ Multi-Timeframe Approach
• Higher Timeframe Direction Confirmation:
▶ Check institutional signals and trend strength on daily/4-hour charts
▶ Use for setting main trading direction
• Lower Timeframe Entry Point Finding:
▶ Wait for lower timeframe signals that align with higher timeframe direction
▶ Use for capturing precise entry points
• Cross-Timeframe Signal Alignment:
▶ Signal strength increases when signals occur in the same direction across multiple timeframes
▶ Capture high-probability trading opportunities
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◆ Indicator Settings Guide
■ Main Setting Parameters
• Institutional Continuity Period:
▶ Purpose: Sets the period to check institutional consecutive buying/selling activity
▶ Lower value: Generates more signals, increases responsiveness
▶ Higher value: Reduces number of signals, increases reliability
• Trend Strength Threshold:
▶ Purpose: Sets the minimum threshold for determining strong trends
▶ Lower value: More signals, less filtering
▶ Higher value: Generates signals only in stronger trends, higher filtering
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◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Institutional signals occurring at key support/resistance levels have higher probability
▶ Combination of key technical analysis levels and institutional activity provides powerful signals
• Moving Averages:
▶ Pay attention to institutional signals near key moving averages (50MA, 200MA)
▶ Strong trend change possibility when moving average crossovers coincide with institutional signals
• RSI/Momentum Indicators:
▶ Institutional buy signals in oversold conditions increase reversal probability
▶ Institutional sell signals in overbought conditions increase reversal probability
• Volume Profile:
▶ Institutional signals at high volume nodes confirm important price levels
▶ Institutional activity in key trading areas greatly impacts price direction
• Market Structure:
▶ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and institutional activity indicates important trend turning points
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◆ Conclusion
Coinbase Institutional Smart Money Detector provides traders with valuable insights by tracking spot Bitcoin trading activities of institutional investors through Coinbase Prime in real-time. Because it can be applied to Bitcoin charts on any exchange, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of institutional fund flow data that is difficult for ordinary traders to access. By comprehensively analyzing consecutive price movements, volume increases, and trend strength to capture institutional activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals based on Coinbase Prime data and real-time trend strength measurements help traders quickly grasp market conditions and make strategic decisions. By integrating this powerful tool into your trading strategy, secure a competitive edge to understand where the market's smart money is flowing and position accordingly.
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※ Disclaimer: Like all trading tools, the Institutional Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
Coinbase Institutional Smart Money Detector
◆ 개요
Coinbase Institutional Smart Money Detector는 코인베이스 프라임(Coinbase Prime)을 통한 기관 투자자들의 현물 비트코인 매수/매도 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 대형 기관들의 자금 흐름을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하여 트레이더들이 언제 어디서든 기관의 "스마트 머니" 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 코인베이스 데이터를 실시간으로 분석하여 기관 투자자들의 연속적인 매매 행동, 거래량 패턴, 그리고 추세 강도를 종합적으로 평가한다는 점입니다. 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
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◆ 주요 특징
• 코인베이스 프라임 데이터 분석: 기관 전용 서비스인 코인베이스 프라임의 데이터를 실시간으로 추적하여 기관의 움직임 포착
• 실시간 기관 자금 흐름 모니터링: 대형 기관들의 현물 매수/매도 활동을 즉각적으로 감지하여 시장에 앞서 포지셔닝 가능
• 모든 거래소 호환성: 어떤 거래소의 비트코인 차트에도 적용 가능하여 선호하는 트레이딩 플랫폼에서 활용 가능
• 기관 연속성 분석: 연속적인 매수/매도 패턴을 추적하여 기관의 지속적인 활동 식별
• 스마트 볼륨 분석: 평균 대비 거래량 증가를 감지하고 주요 거래 시간대를 분석
• 추세 강도 측정: 캔들 패턴을 분석해 상승/하락 추세의 강도를 수치화하여 표시
• 직관적 시각화: 바 컬러링과 라벨을 통해 기관 활동 지점을 차트에 명확하게 표시
• 실시간 강도 표시: 현재 추세의 강도를 실시간으로 계산하여 테이블에 표시
• 사용자 정의 설정: 주요 매개변수를 조정하여 자신의 트레이딩 스타일에 맞게 커스터마이징 가능
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◆ 신호 유형 이해하기
■ 기관 매수 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매수 활동을 보이며, 이와 함께 거래량 증가와 강한 상승 추세가 나타날 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "Institution Buying Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 상승 패턴
▶ 평균보다 높은 거래량
▶ 강한 상승 추세 강도 측정값
▶ 유의미한 가격 변동
■ 기관 매도 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매도 활동을 보이며, 이와 함께 거래량 증가와 강한 하락 추세가 나타날 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "Institution Selling Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 하락 패턴
▶ 평균보다 높은 거래량
▶ 강한 하락 추세 강도 측정값
▶ 유의미한 가격 변동
─────────────────────────────────────
◆ 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
─────────────────────────────────────
◆ 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
─────────────────────────────────────
◆ 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
─────────────────────────────────────
◆ 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.
TradeGlixAuto Support & Resistance, EMA Based Trading Supported. Bullish and Bearish Candle color. etc
SPY, QQQ, VIX Status TableBased on Ripster EMA and 1 hour MTF Clouds, this custom TradingView indicator displays a visual trend status table for SPY, QQQ, and VIX using multiple timeframes and EMA-based logic to be used on any stock ticker.
🔍 Key Features:
✅ Tracks 3 symbols: SPY, QQQ, and VIX
✅ Multiple trend conditions:
10-min (5/12 EMA) Ripster cloud trend
10-min (34/50 EMA) Ripster cloud trend
1-Hour Multi-Timeframe Ripster EMA trend
Daily open/close trend
✅ Color-coded trend strength:
🟩 Green = Bullish
🟥 Red = Bearish
🟨 Yellow = Sideways
✅ TO save screen space, customizations available:
Show/hide individual rows (SPY, QQQ, VIX)
Show/hide any trend column (10m, 1H MTF, Daily)
Change header/background colors and font color
Bold white top row for readability
✅ Auto-updating table appears on your chart, top-right
This tool is great for active traders looking to quickly scan short-term and longer-term momentum in key market instruments without having to go back and forth market charts.
JXMJXRS - Macro Flow CompassThe Macro Flow Compass is designed to give a high-level view of market behaviour by tracking how capital is moving across the crypto ecosystem. It’s not an entry or exit tool. Instead, it helps identify when the overall environment is shifting, whether capital is favouring majors like BTC and ETH, rotating into altcoins, or moving into stables.
The goal is to keep you aligned with broader market cycles, so trades are taken with macro context in mind.
The script works by analyzing four key metrics:
Total crypto market cap (CRYPTOCAP:TOTAL)
Bitcoin dominance (CRYPTOCAP:BTC.D)
Ethereum dominance (CRYPTOCAP:ETH.D)
Combined stable coin dominance from USDT and USDC (CRYPTOCAP:USDT.D + USDC.D)
These are smoothed using a basic EMA (Exponential Moving Average) to reduce noise. The script then checks for changes in dominance and market cap slope to detect when capital is likely flowing into or out of specific sectors.
When certain conditions align, the script will shade the background with one of the following colours:
Green Panel – Risk-on behaviour in majors. Usually appears when total market cap is trending up and BTC dominance is dropping, or stable coin dominance is falling. It suggests BTC and ETH are likely receiving capital inflow, not necessarily pumping but positioned better for upside.
Orange Panel – Altcoin rotation. Happens when ETH dominance is rising or stables are pulling back, while the market cap is also rising. These tend to precede altcoin outperformance phases.
Blue Panel – Stable coin build-up. Signals increasing stable coin dominance. Often a defensive move, either after a drop or in anticipation of volatility. This can mean risk-off conditions.
The indicator uses three main settings:
Smoothing Length – Controls how reactive the EMAs are. Lower values react quicker to short-term changes; higher values will slow things down and highlight more persistent trends.
Dominance Flip Threshold (%) – Sets how much a dominance value must change in one bar to trigger a condition. It’s there to avoid reacting to tiny shifts that don’t really matter.
Macro Cap Slope Length – Determines how the macro market cap trend is calculated. It looks at the slope of a long-term regression to decide if we’re in an uptrend or downtrend.
This tool works on higher timeframes like the weekly or monthly, and it’s especially useful when combined with your own technical analysis.
💀🐔 PANICAN ALERT🧨 PANICAN ALERT
For traders who:
Enter every position “just to see what happens”
Panic-exit green trades for a $12 profit
Re-enter 30 seconds later at a worse price
Can’t tell the difference between a pullback and personal betrayal
Have 19 open indicators and trust none of them
No strategy. No plan. Just nerves, caffeine, and poor impulse control.
PANICAN ALERT doesn’t help — it reflects.
It won’t save you. But at least now your chart screams like you do.
PosSys Reversal Points AdvisorOffering you the ability to quantify microstructure with no repaints, no lagging and no delay; Track and trade any and every reversal before it's obvious.
Use the PosSys™ Advisor to assist with entries, reentries, stoploss placement, confirmation, bias or confluence as needed, regardless of your trading style or execution method.
Access here⬇️
qssystems.tech
Want to backtest signals first? Use free version here ⬇️
PosSys Reversal Points (Delayed Version)**Disclaimer: There is a roughly 10-signal delay on all assets and timeframes; The delayed version is intended for historical testing only. **
Offering you the ability to quantify microstructure with no repaints, no lagging and no delay; Track and trade any and every reversal before it's obvious.
Use the PosSys™ Advisor to assist with entries, reentries, stoploss placement, confirmation, bias or confluence as needed, regardless of your trading style or execution method.
Access the paid version here ⬇️
qssystems.tech
Watch Demos here ⬇️
www.youtube.com
Seasonal Forecaster ProSeasonal Forecaster Pro
This script is an advanced analytical tool designed to uncover and measure historical seasonal (or cyclical) tendencies in any market. It visualizes how an asset has performed on average during specific times of the year and provides a real-time score to gauge how closely the current price action is following these historical patterns.
The primary goal is to provide traders with a unique analytical layer, helping to identify periods of historical strength or weakness and to validate current trends against historical norms.
Key Features
📈 Multi-Period Seasonality Lines: The indicator plots multiple seasonal patterns simultaneously. Each colored line represents the average historical performance over a different lookback period (e.g., 3-year, 5-year, 10-year average). This allows you to compare short-term versus long-term seasonal trends.
🔮 Forward Projection: The seasonal lines are projected into the future, illustrating the average historical path for the upcoming days and weeks. This is not a price prediction, but a visual guide to an asset's typical behavior based on past data.
📊 Correlation Table: A powerful, real-time dashboard that measures how strongly the current price is correlated with each historical seasonality pattern.
High Correlation (> 75%): 🟢 Indicates that the current price is moving in strong alignment with its historical tendency.
Medium Correlation (50% to 75%): 🟠 Shows a moderate relationship.
Low Correlation (< 50%): 🔴 Signals that the price is currently deviating from its historical norm.
🛡️ Advanced Outlier Filtering: The core calculation uses a robust statistical method to filter out extreme, one-off market events like flash crashes or major news spikes. This ensures that the resulting seasonal patterns are more stable and representative of typical market behavior.
⚙️ Full Customization: You have complete control over the indicator's appearance. You can toggle any seasonality line on or off, and customize the colors, line width, and the on-screen table's position and colors to perfectly match your chart's theme.
How It Helps Your Trading
This indicator is a tool for analysis and confluence, not for generating buy/sell signals. Here’s how you can integrate it into your strategy:
Identify Seasonal Trends: Easily spot times of the year where an asset has historically shown bullish or bearish tendencies. For example, if the lines are consistently trending upwards from March to May, it highlights a period of historical strength.
Confirm Trend Strength: Use the correlation table to add confidence to your analysis. If you see an asset is in an uptrend and the correlation score for its dominant seasonal pattern is high and green, it provides powerful confirmation that the move is aligned with historical precedent.
Spot Divergences: Identify when the market is behaving abnormally. If the historical pattern suggests an uptrend, but the current price is falling and the correlation score is low and red, it signals a divergence. This can alert you that current market drivers are overriding seasonal tendencies and may warrant extra caution.
This script is an analysis tool and does not provide financial advice or trade signals. All trading involves risk, and past performance is not indicative of future results. Please use this indicator as part of a comprehensive trading plan. This script is invite-only and its source code is protected.
EMA Strength V2This indicator plots a single Exponential Moving Average (EMA) line whose color changes based on a comparison with a second EMA. The user can customize both EMA lengths and choose separate price sources (like close, hlc3, etc.) for each EMA.
The line turns green when EMA 1 is greater than EMA 2, indicating bullish momentum, and red when EMA 1 is less than EMA 2, signaling potential bearishness. This dynamic coloring helps traders visually track trend strength and possible reversals.
EMA StrengthThis indicator plots a single Exponential Moving Average (EMA) line whose color changes based on a comparison with a second EMA. The user can customize both EMA lengths and choose separate price sources (like close, hlc3, etc.) for each EMA.
The line turns green when EMA 1 is greater than EMA 2, indicating bullish momentum, and red when EMA 1 is less than EMA 2, signaling potential bearishness. This dynamic coloring helps traders visually track trend strength and possible reversals.
TPO Unsplit (Optimized v5)TPO Unsplit (Optimized v5) is a script that renders unsplit Market Profile (TPO) structures with precision and historical depth—ideal for traders who want a clean, collapsed TPO view across any timeframe. Unlike built-in TradingView Market Profile tools that rely on "expanded" (split) or "collapsed" profiles limited by chart scope, this tool provides full unsplit TPO shapes & HTN/LTN for prior completed sessions , rendered directly on your chart.
Key Features
Unsplit TPO Profiles : Displays the full shape of each prior TPO session without splitting by sub-period.
Historical Rendering : View TPOs across extensive historical data (up to 500 sessions), depending on row count and chart resolution.
Custom Timeframe Configuration :
Chart Interval determines the sub-period granularity (e.g. each "letter" equivalent is a 5m bar on a 5m chart).
Selected Session Timeframe (in the script settings) defines the full TPO session window (e.g. 30m, 1h, D, W, M, etc).
Value Area & POC Visuals :
Customisable drawing of Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC).
Colour settings for value vs non-value regions.
Efficiency Controls :
The Row Count input controls TPO resolution. Higher row count = more detail but shorter lookback.
Lowering row count increases how far back profiles can be rendered (helpful on high-volume charts or low timeframes).
Optimised Structure Rendering : Efficient block rendering using scaled vertical lines rather than characters. No letter labeling, but full TPO shape is accurately depicted.
Alerts : Includes price-based alerts for interactions with the POC (in, above, or below).
Usage Notes
The script only displays completed TPO sessions (i.e. the most recent full session). The current session is not shown while it’s forming.
Because TPOs are based on time-at-price , this may resemble a volume profile visually—but it strictly counts time-based touches per price bin.
Use on intraday, daily, weekly, or custom intervals. Designed for adaptability across instruments and strategies.
Example Use Case:
Set your chart to 5-minute candles, then choose a TPO session length of 2 hours in the settings. You'll see each completed 2-hour period plotted as a single collapsed TPO shape—providing a clean view of price distribution without noise.
Performance Tips:
Default Row Count is 50 for balance between precision and depth.
Increase for finer profiles, decrease to load more history.
This is bounded by TradingView’s max_lines_count , so tuning is essential based on your asset/timeframe.
Disclaimer:
This tool is built purely on public Pine Script v5 , compliant with TradingView's open-source requirements. It’s not based on volume but strictly follows the Steidlmayer TPO methodology using time-based logic.
For private access, extended versions, or inquiries—feel free to contact me directly.
