Snapfront Market Clarity Index (MCI) — LiteMarket Clarity Index (MCI) — Lite + Signals
The Market Clarity Index (MCI) measures trend clarity vs. noise using returns, drift, and volume shock dynamics. Values are normalized through a φ²-based sigmoid for smooth, interpretable signals.
Features:
Clear 0–100 scale (Lite version)
Heatmap background for clarity regimes
Bull/Bear signal arrows with EMA filter
High/Low threshold lines for easy context
Trading Logic:
✅ Bull signal when MCI crosses into the high zone with price above EMA
❌ Bear signal when MCI crosses into the low zone with price below EMA
Use MCI as a trend filter, entry trigger, or market condition gauge across any timeframe or asset.
Sentiment
Elliott Wave [BigBeluga]🔵 OVERVIEW
Elliott Wave automatically finds and draws an Elliott-style 5-wave impulse and a dashed projection for a potential -(a)→(b)→(c) correction. It detects six sequential reversal points from rolling highs/lows — 1, 2, 3, 4, 5, (a) — validates their relative placement, and then renders the wave with labels and horizontal reference lines. If price invalidates the structure by closing back through the Wave-5 level inside a 100-bar window, the pattern is cleared (optionally kept as “broken”) while key dotted levels remain for context.
🔵 CONCEPTS
Reversal harvesting from extremes : The script scans highest/lowest values over a user-set Length and stores swing points with their bar indices.
Six-point validation : A pattern requires six pivots (1…5 and (a)). Their vertical/temporal order must satisfy Elliott-style constraints before drawing.
Impulse + projection : After confirming 1→5, the tool plots a curved polyline through the pivots and a dashed forward path from (a) toward (b) (midpoint of 5 and (a)) and back to (c).
Risk line (invalidator) : The Wave-5 price is tracked; a close back through it within 100 bars marks the structure as broken.
Minimal persistence : When broken, the wave drawing is removed to avoid noise, while dotted horizontals for waves 5 and 4 remain as reference.
🔵 FEATURES
Automatic pivot collection from rolling highs/lows (user-controlled Length ).
Wave labeling : Points 1–5 are printed; the last collected swing is marked b
. Projected i
& i
are shown with a dashed polyline.
Breaker line & cleanup : If price closes above Wave-5 (opposite for bears) within 100 bars, the pattern is removed; only dotted levels of 5 and 4 stay.
Styling controls :
Length (pivot sensitivity)
Text Size for labels (tiny/small/normal/large)
Wave color input
Show Broken toggle to keep invalidated patterns visible
Lightweight memory : Keeps a compact buffer of recent pivots/draws to stay responsive.
🔵 HOW TO USE
Set sensitivity : Increase Length on noisy charts for cleaner pivots; decrease to catch earlier/shorter structures.
Wait for confirmation : Once 1→5 is printed and (a) appears, use the Wave-5 line as your invalidation. A close back through it within ~100 bars removes the active wave (unless Show Broken is on).
Plan with the dashed path : The (a)→(b)→(c) projection offers a scenario for potential corrective movement and risk placement.
Work MTF : Identify cleaner waves on higher TFs; refine execution on lower TFs near the breaker or during the move toward (b).
Seek confluence : Align with structure (S/R), volume/Delta, or your trend filter to avoid counter-context trades.
🔵 CONCLUSION
Elliott Wave systematizes discretionary wave analysis: it detects and labels the 5-wave impulse, projects a plausible (a)-(b)-(c) path, and self-cleans on invalidation. With clear labels, dotted reference levels, and a practical breaker rule, it gives traders an objective framework for scenario planning, invalidation, and timing.
Secret bubbleSecret bubble
Why Might It Be Called "Bubbles"?
Although not officially named so, some traders or platforms might refer to Bollinger Bands as "bubbles" because:
The bands visually surround the price like a bubble.
During low volatility, the bands form a tight "bubble" around price.
Breakouts look like the price "popping out" of a bubble.
Hence, the nickname "пузырьки" (bubbles) could be a colloquial or visual metaphor for Bollinger Bands in Russian-speaking trading communities.
Conclusion
While there is no official technical indicator called "Bubbles", the term likely refers to Bollinger Bands due to their visual appearance and function. This powerful tool helps traders assess volatility, spot potential reversals, and time entries and exits. When combined with other analysis methods, Bollinger Bands remain a cornerstone of modern technical trading.
🔧 Tip: You can find Bollinger Bands on almost every trading platform (TradingView, MetaTrader, ThinkorSwim) by searching "Bollinger Bands" in the indicators list.
Major & Modern Wars TimelineDescription:
This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts.
Features:
Displays start (red line + label) and end (green line + label) for each war.
Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq).
Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War.
For ongoing conflicts, the end date is set to 2025 for timeline visualization.
Customizable: label position (above/below bar), line width.
Works on any chart timeframe, overlaying events on financial data.
Use case:
Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Market Cap Landscape 3DHello, traders and creators! 👋
Market Cap Landscape 3D. This project is more than just a typical technical analysis tool; it's an exploration into what's possible when code meets artistry on the financial charts. It's a demonstration of how we can transcend flat, two-dimensional lines and step into a vibrant, three-dimensional world of data.
This project continues a journey that began with a previous 3D experiment, the T-Virus Sentiment, which you can explore here:
The Market Cap Landscape 3D builds on that foundation, visualizing market data—particularly crypto market caps—as a dynamic 3D mountain range. The entire landscape is procedurally generated and rendered in real-time using the powerful drawing capabilities of polyline.new() and line.new() , pushed to their creative limits.
This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language.
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🧐 Core Concept: How It Works
The indicator synthesizes multiple layers of information into a single, cohesive 3D scene:
The Surface: The mountain range itself is a procedurally generated 3D mesh. Its peaks and valleys create a rich, textured landscape that serves as the canvas for our data.
Crypto Data Integration: The core feature is its ability to fetch market cap data for a list of cryptocurrencies you provide. It then sorts them in descending order and strategically places them onto the 3D surface.
The Summit: The highest point on the mountain is reserved for the asset with the #1 market cap in your list, visually represented by a flag and a custom emblem.
The Mountain Labels: The other assets are distributed across the mountainside, with their rank determining their general elevation. This creates an intuitive visual hierarchy.
The Leaderboard Pole: For clarity, a dedicated pole in the back-right corner provides a clean, ranked list of the symbols and their market caps, ensuring the data is always easy to read.
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🧐 Example of adjusting the view
To evoke the feeling of flying over mountains
To evoke the feeling of looking at a mountain peak on a low plain
🧐 Example of predefined colors
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🚀 How to Use
Getting started with the Market Cap Landscape 3D:
Add to Chart: Apply the "Market Cap Landscape 3D" indicator to your active chart.
Open Settings: Double-click anywhere on the 3D landscape or click the "Settings" icon next to the indicator's name.
Customize Your Crypto List: The most important setting is in the Crypto Data tab. In the "Symbols" text area, enter a comma-separated list of the crypto tickers you want to visualize (e.g., BTC,ETH,SOL,XRP ). The indicator supports up to 40 unique symbols.
> Important Note: This indicator exclusively uses TradingView's `CRYPTOCAP` data source. To find valid symbols, use the main symbol search bar on your chart. Type `CRYPTOCAP:` (including the colon) and you will see a list of available options. For example, typing `CRYPTOCAP:BTC` will confirm that `BTC` is a valid ticker for the indicator's settings. Using symbols that do not exist in the `CRYPTOCAP` index will result in a script error. or, to display other symbols, simply type CRYPTOCAP: (including the colon) and you will see a list of available options.
Adjust Your View: Use the settings in the Camera & Projection tab to rotate ( Yaw ), tilt ( Pitch ), and scale the landscape until you find a view you love.
Explore & Customize: Play with the color palettes, flag design, and other settings to make the landscape truly your own!
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⚙️ Settings & Customization
This indicator is highly customizable. Here’s a breakdown of what each setting does:
#### 🪙 Crypto Data
Symbols: Enter the crypto tickers you want to track, separated by commas. The script automatically handles duplicates and case-insensitivity.
Show Market Cap on Mountain: When checked, it displays the full market cap value next to the symbol on the mountain. When unchecked, it shows a cleaner look with just the symbol and a colored circle background.
#### 📷 Camera & Projection
Yaw (°): Rotates the camera view horizontally (side to side).
Pitch (°): Tilts the camera view vertically (up and down).
Scale X, Y, Z: Stretches or compresses the landscape in width, depth, and height, respectively. Fine-tune these to get the perfect perspective.
#### 🏞️ Grid / Surface
Grid X/Y resolution: Controls the detail level of the 3D mesh. Higher values create a smoother surface but may use more resources.
Fill surface strips: Toggles the beautiful color gradient on the surface.
Show wireframe lines: Toggles the visibility of the grid lines.
Show nodes (markers): Toggles the small dots at each grid intersection point.
#### 🏔️ Peaks / Mountains
Fill peaks volume: Draws vertical lines on high peaks, giving them a sense of volume.
Fill peaks surface: Draws a cross-hatch pattern on the surface of high peaks.
Peak height threshold: Defines the minimum height for a peak to receive the fill effect.
Peak fill color/density: Customizes the appearance of the fill lines.
#### 🚩 Flags (3D)
Show Flag on Summit: A master switch to show or hide the flag and emblem entirely.
Flag height, width, etc.: Provides full control over the dimensions and orientation of the flag on the highest peak.
#### 🎨 Color Palette
Base Gradient Palette: Choose from 13 stunning, pre-designed color themes for the landscape, from the classic SUNSET_WAVE to vibrant themes like NEON_DREAM and OCEANIC .
#### 🛡️ Emblem / Badge Controls
This section gives you granular control over every element of the custom emblem on the flag. Tweak rotation, offsets, and scale to design your unique logo.
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👨💻 Developer's Corner: Modifying the Core Logic
If you're a developer and wish to customize the indicator's core data source, this section is for you. The script is designed to be modular, making it easy to change what data is being ranked and visualized.
The heart of the data retrieval and ranking logic is within the f_getSortedCryptoData() function. Here’s how you can modify it:
1. Changing the Data Source (from Market Cap to something else):
The current logic uses request.security("CRYPTOCAP:" + syms.get(i), ...) to fetch market capitalization data. To change this, you need to modify this line.
Example: Ranking by RSI (14) on the Daily timeframe.
First, you'll need a function to calculate RSI. Add this function to the script:
f_getRSI(symbol, timeframe, length) =>
request.security(symbol, timeframe, ta.rsi(close, length))
Then, inside f_getSortedCryptoData() , find the `for` loop that populates the `caps` array and replace the `request.security` call:
// OLD LINE:
// caps.set(i, request.security("CRYPTOCAP:" + syms.get(i), timeframe.period, close))
// NEW LINE for RSI:
// Note: You'll need to decide how to format the symbol name (e.g., "BINANCE:" + syms.get(i) + "USDT")
caps.set(i, f_getRSI("BINANCE:" + syms.get(i) + "USDT", "D", 14))
2. Changing the Data Formatting:
The ranking values are formatted for display using the f_fmtCap() function, which currently formats large numbers into "M" (millions), "B" (billions), etc.
If you change the data source to something like RSI, you'll want to change the formatting. You can modify f_fmtCap() or create a new formatting function.
Example: Formatting for RSI.
// Modify f_fmtCap or create f_fmtRSI
f_fmtRSI(float v) =>
str.tostring(v, "#.##") // Simply format to two decimal places
Remember to update the calls to this function in the main drawing loop where the labels are created (e.g., str.format("{0}: {1}", crypto.symbol, f_fmtCap(crypto.cap)) ).
By modifying these key functions ( f_getSortedCryptoData and f_fmtCap ), you can adapt the Market Cap Landscape 3D to visualize and rank almost any dataset you can imagine, from technical indicators to fundamental data.
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We hope you enjoy using the Market Cap Landscape 3D as much as we enjoyed creating it. Happy charting! ✨
US Presidents 1789–1916Description:
This indicator displays all U.S. presidential elections from 1789 to 1916 on your chart.
Features:
Vertical lines at the date of each presidential election.
Line color by party:
Red = Republican
Blue = Democrat
Gray = Other/None
Labels showing the name of each president.
Historical flag style: All presidents before 1900 are considered historical, providing visual distinction.
Fully overlayed on the price chart for timeline context.
Customizable: Label position (above/below bar) and line width.
Use case: Great for studying historical market behavior around elections or for general reference of U.S. presidents during the early history of the country.
US Presidents 1920–2024Description:
This indicator displays all U.S. presidential elections from 1920 to 2024 on your chart.
Features:
Vertical lines at the date of each presidential election.
Line color by party:
Red = Republican
Blue = Democrat
Gray = Other/None
Labels showing the name of each president.
Modern flag style: Presidents from 1900 onward are highlighted as modern, giving clear historical separation.
Fully overlayed on the price chart for timeline context.
Customizable: Label position (above/below bar) and line width.
Use case: Useful for analyzing modern U.S. presidential cycles, market reactions to elections, or quickly referencing recent presidents directly on charts.
FED Rate Decisions (Cuts & Hikes)This indicator highlights key moments in U.S. monetary policy by plotting vertical lines on the chart for Federal Reserve interest rate decisions.
Features:
Rate Cuts (red): Marks dates when the Fed reduced interest rates.
Rate Hikes (green): Marks dates when the Fed increased interest rates.
Configurable view: Choose between showing all historical decisions or only those from 2019 onwards.
Labels: Each event is tagged with “FED CUT” or “FED HIKE” above or below the bar (adjustable).
Alerts: You can set TradingView alerts to be notified when the chart reaches a Fed decision day.
🔧 Inputs:
Show decisions: Switch between All or 2019+ events.
Show rate cuts / hikes: Toggle visibility separately.
Colors: Customize line and label colors.
Label position: Place labels above or below the bar.
📈 Usage:
This tool helps traders and investors visualize how Fed policy shifts align with market movements. Rate cuts often signal economic easing, while hikes suggest tightening monetary policy. By overlaying these events on price charts, you can analyze historical reactions and prepare for similar scenarios.
JL - Market HeatmapThis indicator plots a static table on your chart that displays any tickers you want and their % change on the day so far.
It updates in real time, changes color as it updates, and has several custom functions available for you:
1. Plot up to 12 tickers of your choice
2. Choose a layout with 1-4 rows
3. Display % Change or Not
4. Choose your font size (Tiny, Small, Normal, Large)
5. Up/Down Cell Colors (% change dependent)
6. Up/Down Text Colors (high contrast to your color choices)
The purpose of the indicator is to quickly measure a broad basket of market instruments to paint a more context-rich perspective of the chart you are looking at.
I hope this indicator can help you (and me) accomplish this task in a simple, clean, and seamless manner.
Thanks and enjoy - Jack
Price Heat Meter [ChartPrime]⯁ OVERVIEW
Price Heat Meter visualizes where price sits inside its recent range and turns that into an intuitive “temperature” read. Using rolling extremes, candles fade from ❄️ aqua (cold) near the lower bound to 🔥 red (hot) near the upper bound. The tool also trails recent extreme levels, tags unusually persistent extremes with a % “heat” label, and shows a bottom gauge (0–100%) with a live arrow so you can read market heat at a glance.
⯁ KEY FEATURES
Rolling Heat Map (0–100%):
The script measures where the close sits between the current Lowest Low and Highest High over the chosen Length (default 50).
Candles use a two-stage gradient: aqua → yellow (0–50%), then yellow → red (50–100%). This makes “how stretched are we?” instantly visible.
Dynamic Extremes with Time Decay:
When a new rolling High or Low is set, the script starts a faint horizontal trail at that price. Each bar that passes without a new extreme increases a counter; the line’s color gradually fades over time and fully disappears after ~100 bars, keeping the chart clean.
Persistent-Extreme Tags (Reversal Hints):
If an extreme persists for 40 bars (i.e., price hasn’t reclaimed or surpassed it), the tool stamps the original extreme pivot with its recorded Heat% at the moment the extreme formed.
• Upper extremes print a red % label (possible exhaustion/resistance context).
• Lower extremes print an aqua % label (possible exhaustion/support context).
Bottom Heat Gauge (0–100% Scale):
A compact, gradient bar renders at the bottom center showing the current Heat% with an arrow/label. ❄️ anchors the left (0%), 🔥 anchors the right (100%). The arrow adopts the same candle heat color for consistency.
Minimal Inputs, Clear Theme:
• Length (lookback window for H/L)
• Heat Color set (Cold / Mid / Hot)
The defaults give a balanced, legible gradient on most assets/timeframes.
Signal Hygiene by Design:
The meter doesn’t “call” reversals. Instead, it contextualizes price within its range and highlights the aging of extremes. That keeps it robust across regimes and assets, and ideal as a confluence layer with your existing triggers.
⯁ HOW IT WORKS (UNDER THE HOOD)
Range Model:
H = Highest(High, Length), L = Lowest(Low, Length). Heat% = 100 × (Close − L) / (H − L).
Extreme Tracking & Fade:
When High == H , we record/update the current upper extreme; same for Low == L on the lower side. If the extreme doesn’t change on the next bar, a counter increments and the plotted line’s opacity shifts along a 0→100 fade scale (visual decay).
40-Bar Persistence Labels:
On the bar after the extreme forms, the code stores the bar_index and the contemporaneous Heat% . If the extreme survives 40 bars, it places a % label at the original pivot price and index—flagging levels that were meaningfully “tested by time.”
Unified Color Logic:
Both candles and the gauge use the same two-stage gradient (Cold→Mid, then Mid→Hot), so your eye reads “heat” consistently across all elements.
⯁ USAGE
Treat >80% as “hot” and <20% as “cold” context; combine with your trigger (e.g., structure, OB, div, breakouts) instead of acting on heat alone.
Watch persistent extreme labels (40-bar marks) as reference zones for reaction or liquidity grabs.
Use the fading extreme lines as a memory map of where price last stretched—levels that slowly matter less as they decay.
Tighten Length for intraday sensitivity or increase it for swing stability.
⯁ WHY IT’S UNIQUE
Rather than another oscillator, Price Heat Meter translates simple market geometry (rolling extremes) into a readable temperature layer with time-aware extremes and a synchronized gauge . You get a continuously updated sense of stretch, persistence, and potential reversal context—without clutter or overfitting.
Daily Weekly Monthly HLC (بهداد)خطوط مهم روزانه هفتگی ماهانه This is an indicator that shows the closing lines and the highest and lowest prices for daily, weekly and monthly periods. In addition, we can divide the entire weekly period into several parts.
Global Market Context Dashboard With Pull Back IndicatorGlobal Market Context Dashboard With Pull Back Indicator
Fear & Greed Oscillator — LEAPs (v6, manual DMI/ADX)Fear & Greed Oscillator for LEAPs — a composite sentiment/trend tool that highlights long-term fear/greed extremes and trend quality for better LEAP entries and exits.
This custom Fear & Greed Oscillator (FGO-LEAP) is designed for swing trades and long-term LEAP option entries. It blends multiple signals — MACD (trend), ADX/DMI (trend quality), OBV (accumulation/distribution), RSI & Stoch RSI (momentum), and volume spikes — into a single score that ranges from –100 (extreme fear) to +100 (extreme greed). The weights are tuned for LEAPs, emphasizing slower trend and accumulation signals rather than short-term noise.
Use Weekly charts for the main signal and Daily only for entry timing. Entries are strongest when the score is above zero and rising, with both MACD and DMI positive. Extreme Fear (< –60) can mark long-term bottoms when followed by a recovery, while Extreme Greed (> +60) often signals overheated conditions. A cross below zero is an early warning to reduce or roll positions.
Enhanced EMA Crossover with Supertrend + Ribbon + Multi TFThe indicator has 4 core indicators in 1, the supertrend, the 2ema crossover, the moving average ribbon and a multi-timeframe trend indicator. I have modified the code for better visuals, all the indicators are fully customizable for better visuals and trend identification. Specially the 2 ema crossover indicator ribbon should guide you in the direction of the overall trend in different timeframes. The white dots were added to the real price close on everu candle , it is very usefull visually to see exactly where the price is closing specially when using heiken ashi candles. The small arrows on every candle should guide you in the direction of the overall trend when adjusting the 2 ema crossover lengths, the bigger arrow plots on the first candle only when the 2 ema crossover happens to either direction, using the supertrend indicator with the moving averages will also help you keep in the right trend direction.
A best Seasonality Monthly IndicatorSeasonality Monthly is a custom indicator designed for TradingView that calculates and displays monthly seasonality performance as a table overlay on the chart.
Key aspects and functionality:
It requires the timeframe to be either monthly or daily; otherwise, it throws an error.
The user can set the starting year (default 2015) from which the seasonality statistics begin.
It collects monthly percentage change data (close to close returns) for each month and year dynamically using request.security.
Data is stored in a two-dimensional matrix representing years by months, accumulating returns for each month over the years.
The table is drawn on the chart showing monthly returns for each year, with cells colored green for positive returns and red for negatives.
The bottom rows of the table show summary statistics per month:
AVG: Average monthly returns
SUM: Sum of returns
+ive: Count of months with positive returns over total counts
WR: Win rate (ratio of positive months)
Text sizes and colors are customizable via inputs.
Uses Pine Script v5 features like matrix, table API, and new runtime error handling.
This script is useful for visualizing historical monthly seasonality patterns for any symbol on TradingView.
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The Seasonality Monthly Pine Script indicator is a powerful tool designed for TradingView that enables traders to analyze and visualize the historical seasonal performance of an asset on a monthly basis. This script focuses on identifying recurring monthly patterns by accumulating monthly percentage returns over multiple years, providing insights that help traders understand when certain months tend to perform better or worse historically.
The script requires the chart to be set to either a daily or monthly timeframe to ensure accurate calculations and data retrieval. It uses the request. security function to fetch monthly data, extracting each bar's year, month, and monthly price change percent based on close-to-close returns. These returns are then accumulated into a matrix data structure, organizing the percentage changes for each year and month to build a comprehensive historical dataset.
A dynamic table is constructed and displayed on the chart, showing a detailed breakdown of percentage changes each month for every year starting from a customizable start year (default is 2015). Each cell in the table is color-coded—green for positive monthly returns and red for negative—making it visually easy to interpret seasonal trends. This immediate visual feedback is valuable for traders looking to identify strong or weak months historically.
Beyond just the yearly data, the script calculates aggregate statistics for each month, which are displayed in summary rows at the bottom of the table. These include the average monthly return, the sum of returns, the count of positive-return months versus total months ("+ive"), and the win rate (WR), which is the proportion of positive months over the total number of months observed. These statistics assist traders in quantifying the strength and consistency of monthly seasonal effects.
The script also includes user customization options such as the starting year for seasonality analysis and adjustable text size for better readability. It incorporates modern Pine Script v5 features like runtime error handling, matrix operations, and the enhanced table API for efficient and clear display.
Overall, This is a practical indicator that helps traders incorporate seasonality insights into their decision-making process, potentially improving timing entries and exits by leveraging historical monthly market behaviors. It is particularly useful for spotting cyclic tendencies and planning strategies around historically strong or weak months, adding a valuable dimension to technical analysis.
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#Seasonality #TradingView #PineScript #TechnicalAnalysis #StockMarket #MonthlyPerformance #SeasonalTrends #MarketAnalysis #TradingStrategy #PricePatterns #Charting #DataVisualization #AlgorithmicTrading #FinancialMarkets #TradingIndicators #InvestmentStrategy #QuantitativeAnalysis #MarketSeasonality #StockTrading #TradingTools
Tick Ratio Simulator - Advanced Market Sentiment IndicatorOverview
The Tick Ratio Simulator is a sophisticated market sentiment indicator that provides real-time insights into buying and selling pressure dynamics. This proprietary indicator transforms complex market microstructure data into actionable trading signals.
Key Features
Real-Time Sentiment Analysis: Captures instantaneous shifts in market momentum
Multi-Timeframe Adaptability: Customizable calculation periods for any trading style
Visual Clarity: Color-coded histogram with dynamic zone highlighting
Integrated Alert System: Pre-configured alerts for key market transitions
Performance Dashboard: Live metrics display for informed decision-making
Trading Applications
✓ Trend Confirmation: Validate existing trends with momentum analysis
✓ Reversal Detection: Identify potential turning points at extreme readings
✓ Entry/Exit Timing: Optimize trade execution with overbought/oversold zones
✓ Risk Management: Clear visual boundaries for position sizing decisions
Signal Interpretation
Extreme Zones (±75): High probability reversal areas
Standard Thresholds (±50): Traditional overbought/oversold levels
Zero Line Crossings: Momentum shift confirmations
Histogram Expansion/Contraction: Strength of directional bias
Customization Options
Adjustable calculation and smoothing periods
Fully customizable color schemes
Toggle histogram and reference lines
Real-time information table positioning
Alert Conditions
Four pre-built alert templates for automated notifications:
Momentum threshold breaches
Directional changes
Extreme zone entries
Custom level crossovers
Best Practices
Works exceptionally well when combined with:
Volume analysis
Support/resistance levels
Price action patterns
Other momentum oscillators
Note: This indicator uses proprietary calculations to simulate institutional-grade tick analysis without requiring actual tick data feeds. Results are optimized for liquid markets with consistent volume profiles.
For optimal results, adjust parameters based on your specific instrument and timeframe. Past performance does not guarantee future results.
MACD Momentum Slowdown Alert (Bullish + Bearish)little arrows showing on chart when MACD histogram has a slowdown (change of color) in momentum
PSP Universal First Hour Trading SystemPSP Universal First Hour Trading System
Type: Indicator (Pine v5)
Works on: Any symbol & intraday timeframe
Idea: Trade the breakout of the first-hour range with auto Targets/SL, clean signals, and a full P&L dashboard.
What it does
Automatically detects the first-hour session (fully configurable start time & timezone) and draws:
First Hour High / Low
Projected Target and Stop-Loss for both directions
Triggers one signal per day on breakout:
🟢 BUY when price breaks above the First Hour High
🔴 SELL when price breaks below the First Hour Low
Lets you choose Signal timing:
Close = confirms at candle close (more reliable)
Touch = triggers intra-bar (more responsive)
Tracks and displays a comprehensive P&L table: trades, win rates, avg P/L, R:R, today’s stats, and ₹ results based on your lot-size.
P&L Dashboard (auto-updating)
Totals: Trades, Win Rate, Target Hits vs Misses
Breakdown: Buy vs Sell counts & win%
Averages: Avg Profit, Avg Loss, R:R
Today’s Section: Trades, Win%, Targets, Misses, Today P&L (Pts & ₹)
Overall: Total Profit/Loss (Pts & ₹), Net P&L, est. ROI (base ₹1L)
Context: Timeframe, Session time, Target mode/values, Candles, Status
How to use
Add the indicator to your chart.
Set your session start time, timezone, and first-hour length to match the market.
Choose Points or Percentage for Target/SL and set values.
Decide whether signals should confirm on Close (recommended) or on Touch.
(Optional) Set From Date and Lot Size to compute accurate ₹ stats.
Enable alerts for automation or notifications.
Good to know
Designed to avoid multiple trades per day—first valid breakout only.
Lines and labels are non-repainting when using Signal on Close.
Works across indices, stocks, futures, and crypto; adjust Target/SL to instrument volatility.
Best-practice presets (suggestions)
Indices (5-min): Target 40–80 pts, SL 25–40 pts
Large-cap stocks (5–10 min): Target 0.5–1.0%, SL 0.3–0.6%
Crypto (5–15 min): Start with % mode (e.g., TGT 0.5–1.0%, SL 0.3–0.7%)
Mucip + Yağız AL BUY İndikatörü v3This is the strengthened version of version 2 with an additional condition. It does not provide definitive results. It is the indicator version of the strategy I use to detect potential reversal points. It will continue to be developed. It should be used in different timeframes and with additional confirmations.
Армс Индекс (TRIN)
Arms Indicator (TRIN)
General description
This indicator is designed to visualize the overbought and oversold levels of the stock market. The Arms Index (TRIN) evaluates the ratio of the number of rising and falling stocks to the corresponding ratio of the trading volume of rising and falling stocks. The lower the TRIN indicator, the more overbought the market is, and vice versa — a high TRIN indicates oversold conditions.
How to interpret the signal?
- Zone below 0.8: The market is overbought, and a downward correction is likely to follow soon.
- Zone above 1.2: The market is oversold, an upward reversal is possible.
These zones help to identify entry and exit points in a timely manner, optimizing trading decisions.
Implementation features
1. Calculation method: The classic TRIN formula is based on the ratio of volume indicators of rising and falling assets.
2. Averaging interval: A moving average (MA) is used with a configurable default period of five days. The user can change this value manually.
3. Level display: The chart shows two key levels: the oversold (1.2) and overbought (0.8) lines. These lines are guidelines for decision-making.
Instructions for use
1. Upload the indicator to the chart of your financial instrument.
2. Keep an eye on the TRIN value: does it cross the critical levels (1.2 and 0.8)?
3. Use the TRIN readings as an additional filter to confirm the signal of your main strategies.
Remember that the Arms index is best used in conjunction with other technical analysis indicators to achieve maximum signal accuracy.
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I hope this implementation will help you to trade more efficiently and find the best opportunities in the market!
© The authorship belongs to Eva-S-Apple.
Volume-Weighted Money Flow [sgbpulse]Overview
The VWMF indicator is an advanced technical analysis tool that combines and summarizes five leading momentum and volume indicators (OBV, PVT, A/D, CMF, MFI) into one clear oscillator. The indicator helps to provide a clear picture of market sentiment by measuring the pressure from buyers and sellers. Unlike single indicators, VWMF provides a comprehensive view of market money flow by weighting existing indicators and presenting them in a uniform and understandable format.
Indicator Components
VWMF combines the following indicators, each normalized to a range of 0 to 100 before being weighted:
On-Balance Volume (OBV): A cumulative indicator that measures positive and negative volume flow.
Price-Volume Trend (PVT): Similar to OBV, but incorporates relative price change for a more precise measure.
Accumulation/Distribution Line (A/D): Used to identify whether an asset is being bought (accumulated) or sold (distributed).
Chaikin Money Flow (CMF): Measures the money flow over a period based on the close price's position relative to the candle's range.
Money Flow Index (MFI): A momentum oscillator that combines price and volume to measure buying and selling pressure.
Understanding the Normalized Oscillators
The indicator combines the five different momentum indicators by normalizing each one to a uniform range of 0 to 100 .
Why is Normalization Important?
Indicators like OBV, PVT, and the A/D Line are cumulative indicators whose values can become very large. To assess their trend, we use a Moving Average as a dynamic reference line . The Moving Average allows us to understand whether the indicator is currently trending up or down relative to its average behavior over time.
How Does Normalization Work?
Our normalization fully preserves the original trend of each indicator.
For Cumulative Indicators (OBV, PVT, A/D): We calculate the difference between the current indicator value and its Moving Average. This difference is then passed to the normalization process.
- If the indicator is above its Moving Average, the difference will be positive, and the normalized value will be above 50.
- If the indicator is below its Moving Average, the difference will be negative, and the normalized value will be below 50.
Handling Extreme Values: To overcome the issue of extreme values in indicators like OBV, PVT, and the A/D Line , the function calculates the highest absolute value over the selected period. This value is used to prevent sharp spikes or drops in a single indicator from compromising the accuracy of the normalization over time. It's a sophisticated method that ensures the oscillators remain relevant and accurate.
For Bounded Indicators (CMF, MFI): These indicators already operate within a known range (for example, CMF is between -1 and 1, and MFI is between 0 and 100), so they are normalized directly without an additional reference line.
Reference Line Settings:
Moving Average Type: Allows the user to choose between a Simple Moving Average (SMA) and an Exponential Moving Average (EMA).
Volume Flow MA Length: Allows the user to set the lookback period for the Moving Average, which affects the indicator's sensitivity.
The 50 line serves as the new "center line." This ensures that, even after normalization, the determination of whether a specific indicator supports a bullish or bearish trend remains clear.
Settings and Visual Tools
The indicator offers several customization options to provide a rich analysis experience:
VWMF Oscillator (Blue Line): Represents the weighted average of all five indicators. Values above 50 indicate bullish momentum, and values below 50 indicate bearish momentum.
Strength Metrics (Bullish/Bearish Strength %): Two metrics that appear on the status line, showing the percentage of indicators supporting the current trend. They range from 0% to 100%, providing a quick view of the strength of the consensus.
Dynamic Background Colors: The background color of the chart automatically changes to bullish (a blue shade by default) or bearish (a default brown-gray shade) based on the trend. The transparency of the color shows the consensus strength—the more opaque the background, the more indicators support the trend.
Advanced Settings:
- Background Color Logic: Allows the user to choose the trigger for the background color: Weighted Value (based on the combined oscillator) or Strength (based on the majority of individual indicators).
- Weights: Provides full control over the weight of each of the five indicators in the final oscillator.
Using the Data Window
TradingView provides a useful Data Window that allows you to see the exact numerical values of each normalized oscillator separately, in addition to the trend strength data.
You can use this window to:
Get more detailed information on each indicator: Viewing the precise numerical data of each of the five indicators can help in making trading decisions.
Calibrate weights: If you want to manually adjust the indicator weights (in the settings menu), you can do so while tracking the impact of each indicator on the weighted oscillator in the Data Window.
The indicator's default setting is an equal weight of 20% for each of the five indicators.
Alert Conditions
The indicator comes with a variety of built-in alerts that can be configured through the TradingView alerts menu:
VWMF Cross Above 50: An alert when the VWMF oscillator crosses above the 50 line, indicating a potential bullish momentum shift.
VWMF Cross Below 50: An alert when the VWMF oscillator crosses below the 50 line, indicating a potential bearish momentum shift.
Bullish Strength: High But Not Absolute Consensus: An alert when the bullish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bullish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bullish strength, indicating a full and absolute consensus.
Bearish Strength: High But Not Absolute Consensus: An alert when the bearish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bearish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bearish strength, indicating a full and absolute consensus.
Summary
The VWMF indicator is a powerful, all-in-one tool for analyzing market momentum, money flow, and sentiment. By combining and normalizing five different indicators into a single oscillator, it offers a holistic and accurate view of the market's underlying trend. Its dynamic visual features and customizable settings, including the ability to adjust indicator weights, provide a flexible experience for both novice and experienced traders. The built-in alerts for momentum shifts and trend consensus make it an effective tool for spotting trading opportunities with confidence. In essence, VWMF distills complex market data into clear, actionable signals.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Армс Индекс (TRIN)Arms Indicator (TRIN)
General description
This indicator is designed to visualize the overbought and oversold levels of the stock market. The Arms Index (TRIN) evaluates the ratio of the number of rising and falling stocks to the corresponding ratio of the trading volume of rising and falling stocks. The lower the TRIN indicator, the more overbought the market is, and vice versa — a high TRIN indicates oversold conditions.
How to interpret the signal?
- Zone below 0.8: The market is overbought, and a downward correction is likely to follow soon.
- Zone above 1.2: The market is oversold, an upward reversal is possible.
These zones help to identify entry and exit points in a timely manner, optimizing trading decisions.
Implementation features
1. Calculation method: The classic TRIN formula is based on the ratio of volume indicators of rising and falling assets.
2. Averaging interval: A moving average (MA) is used with a configurable default period of five days. The user can change this value manually.
3. Level display: The chart shows two key levels: the oversold (1.2) and overbought (0.8) lines. These lines are guidelines for decision-making.
Instructions for use
1. Upload the indicator to the chart of your financial instrument.
2. Keep an eye on the TRIN value: does it cross the critical levels (1.2 and 0.8)?
3. Use the TRIN readings as an additional filter to confirm the signal of your main strategies.
Remember that the Arms index is best used in conjunction with other technical analysis indicators to achieve maximum signal accuracy.
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I hope this implementation will help you to trade more efficiently and find the best opportunities in the market!
© The authorship belongs to Eva-S-Apple.
CandelaCharts - Macro Sentiment Index 📝 Overview
The Macro Sentiment Index (MSI) is a multi-asset, rules-based indicator designed to quantify global market risk appetite by aggregating signals from a diversified basket of financial instruments across equities, fixed income, commodities, currencies, volatility, and macroeconomic data.
Developed under the CandelaCharts framework, MSI transforms complex intermarket dynamics into a single, interpretable sentiment score. It reflects the collective behavior of institutional and retail investors, central bank policies, liquidity conditions, and macroeconomic trends.
Rather than relying on a single data source, the index combines over 30 components grouped into five core categories:
Risk-On Assets
Risk-Off / Defensive Assets
Macro & Interest Rate Indicators
Central Bank & Policy Proxies
Sentiment Ratios & Cross-Asset Signals
Each component is standardized using z-score normalization over a user-defined lookback period, weighted based on empirical significance, and aggregated into a composite sentiment score.
The final output oscillates around a neutral baseline (0), with positive values indicating risk-on conditions and negative values signaling risk-off sentiment.
📦 Features
Multi-Dimensional Inputs: Integrates equities, bonds, commodities, volatility, FX, yield curves, policy, macro, sector rotations, and sentiment ratios for holistic market breadth.
Adaptive Scoring System: Converts inputs into z-scores over a lookback window, normalizes directionality, and highlights relative strength/weakness in real time.
Weighted Aggregation: Users assign custom weights (0.1–3.0) to inputs, enabling fine-tuning for regimes or strategies. The index is a weighted average of component scores.
Smoothing & Visualization Modes: Apply SMA, EMA, RMA, or VWMA with custom length. Display as line, histogram, area, or columns with neutral, overbought, and oversold zones.
Correlation Monitoring: On-chart table tracks rolling correlations (default 20 periods) between asset prices and MSI, detecting divergences and regime changes.
Customizable UI: Personalize fonts, text size, branding, and color schemes for bullish/bearish phases and MA line visualization.
⚙️ Settings
Lookback: Define how far back the indicator evaluates data
MA (Moving Average): When enabled, overlays a moving default disabled
MA Smoothing: Applies a secondary smoothing layer
Correlation: Defines the period over which correlation is measured
Mode: Determines the visual layout style
Equity Benchmarks: SPY, QQQ, IWM, EEM
Fixed Income: TLT, HYG, LQD, SHY
Commodities: Gold (GC), Copper (HG), Oil (CL), BCOM
Volatility: VIX, VVIX, MOVE, SKEW
FX Pairs: USD/JPY, USD/CHF, AUD/JPY, DXY
Yield Curves: 10Y-2Y Spread (TYX), 10Y-5Y (TNX-FEDFUNDS)
Monetary Policy: SOFR, ED, FF futures
Global Macro: BDIY, M2, TED Spread, Put/Call Ratio
Sector Rotation: XLU/XLY, XLY/XLP
Sentiment Ratios: SPY/TLT, HYG/LQD, BTC/Gold, Copper/Gold, etc
⚡️ Showcase
Default Mode
Area Mode
Smoothing Moving Average
📒 Usage
Interpreting the Index
Above 0: Net risk-on sentiment - (Markets favor growth, liquidity, and speculative assets)
Below 0: Net risk-off sentiment - (Flight to safety, rising volatility, defensive positioning)
Above +1: Extreme risk-on / complacency - (Potential overheating or topping pattern)
Below −1: Extreme risk-off / fear - (Stress, capitulation, or strong defensive rotation)
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
