AltSeasonality - MTFAltSeason is more than a brief macro market cycle — it's a condition. This indicator helps traders identify when altcoins are gaining strength relative to Bitcoin dominance, allowing for more precise entries, exits, and trade selection across any timeframe.
The key for altcoin traders is that the lower the timeframe, the higher the alpha.
By tracking the TOTAL3/BTC.D ratio — a real-time measure of altcoin strength versus Bitcoin — this tool highlights when capital is rotating into or out of altcoins. It works as a bias filter, helping traders avoid low-conviction setups, especially in chop or during BTC-led conditions.
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It works well on the 1D chart to validate swing entries during strong altcoin expansion phases — especially when TOTAL3/BTC.D breaks out while BTCUSD consolidates.
On the 4H or 1D chart, rising TOTAL3/BTC.D + a breakout on your altcoin = high-conviction setup. If BTC is leading, fade the move or reduce size. Consider pairing with the Accumulation - Distribution Candles, optimized for the 1D (not shown).
🔍 Where this indicator really excels, however, is on the 1H and 15M charts, where short-term traders need fast bias confirmation before committing to a move. Designed for scalpers, intraday momentum traders, and tactical swing setups.
Use this indicator to confirm whether an altcoin breakout is supported by broad market flow — or likely to fail due to hidden BTC dominance pressure.
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🧠 How it works:
- TOTAL3 = market cap of altcoins (excl. BTC + ETH)
- BTC.D = Bitcoin dominance as % of total market cap
- TOTAL3 / BTC.D = a normalized measure of altcoin capital strength vs Bitcoin
- BTCUSD = trend baseline and comparison anchor
The indicator compares these forces side-by-side, using a normalized dual-line ribbon. There is intentionally no "smoothing".
When TOTAL3/BTC.D is leading, the ribbon shifts to an “altseason active” phase. When BTCUSD regains control, the ribbon flips back into BTC dominance — signaling defensive posture.
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💡 Strategy Example:
On the 1H chart, a crossover into altseason → check the 15M chart for confirmation. Consider adding the SUPeR TReND 2.718 for confirmation (not shown). If both align, you have trend + flow confluence. If BTCUSD is leading or ribbon is mixed, reduce exposure or wait for confirmation. Further confirmation via Volume breakouts in your specific coin.
⚙️ Features:
• MTF source selection (D, 1H, 15M)
• Normalized ribbon (TOTAL3/BTC.D vs BTCUSD)
• Cross-aware fill shading
• Custom color and transparency controls
• Optional crossover markers
• Midline + zone guides (0.2 / 0.5 / 0.8)
Multitimeframe
GLB - Green Line BreakoutThis script helps traders automatically detect Green Line Breakouts (GLBs) — a concept popularized by Dr. Eric Wish. A GLB occurs when a stock breaks out above a long-term pivot high that hasn’t been touched for a specified confirmation period (e.g., 3 months).
📌 Key Features:
Pivot High Detection based on customizable pivot strength.
Flexible Lookback Periods: Choose from 1 week to 5 years or ATH.
Confirmation Logic: Ensures the pivot remains unbroken for a set period before being marked as valid.
Breakout Detection: Marks the first breakout bar with a labeled event.
Dynamic Timeframe Support: Use daily bars or scale automatically with your chart's timeframe.
Historical Anchoring: Draws persistent lines from confirmation to breakout, helping visualize past GLBs.
🛠 Settings Include:
Pivot Strength
Timeframe Mode (Daily or Current)
Lookback Period (1W–ATH)
Confirmation Period (1W–1Y)
Mr_Pips817 RSI Divergence PROBuilt for professional traders who demand precision.
The TMA - RSI Divergence PRO indicator combines high-probability divergence detection with smart liquidity-based price action levels to identify turning points, trend reversals, and entry/exit zones.
✅ Detects RSI/Momentum/Smoothed divergence
✅ Marks Buy/Sell signals with graded confidence levels
✅ Includes Best / Great / Good / Quality signal types
✅ Fully customizable oscillator levels
✅ Adjustable timeframe alert filter
✅ Invite-only & source-protected
Use it on any market: FX, crypto, indices, stocks, commodities
Optimized for scalping, intraday, and swing trading strategies.
🧠 How It Works:
Select your oscillator (RSI, Momentum, or Smoothed).
When price forms a pivot high/low and diverges from the oscillator, the system flags the divergence.
When the oscillator crosses specific liquidity zones (customizable), it triggers a Buy/Sell label.
Each signal type is visually and logically ranked by quality.
Optional: Filter alerts by your desired chart timeframe for enhanced control.
🧪 Signal Tiers Explained:
Type Signal Meaning
Best Quality Sell "Sell" Optimal sell signal (buy-side liquidity sweep)
Great Quality ⇩⇩ / ⇧⇧ Strong momentum shift
Good Quality ⇩ / ⇧ Probable trend start
Quality • (dot) Early warning / low-grade signal
🚨 Alerts & Controls:
Toggle alerts on/off per signal type
Filter alerts by timeframe
Fine-tune divergence & signal thresholds for each market
📈 Suggested Settings:
Use RSI Divergence for FX and Crypto
Use Smoothed Divergence for Indexes or higher timeframes
Tune liquidity levels based on market volatility
Gioteen-NormThe "Gioteen-Norm" indicator is a versatile and powerful technical analysis tool designed to help traders identify key market conditions such as divergences, overbought/oversold levels, and trend strength. By normalizing price data relative to a moving average and standard deviation, this indicator provides a unique perspective on price behavior, making it easier to spot potential reversals or continuations in the market.
The indicator calculates a normalized value based on the difference between the selected price and its moving average, scaled by the standard deviation over a user-defined period. Additionally, an optional moving average of this normalized value (Green line) can be plotted to smooth the output and enhance signal clarity. This dual-line approach makes it an excellent tool for both short-term and long-term traders.
***Key Features
Divergence Detection: The Gioteen-Norm excels at identifying divergences between price action and the normalized indicator value. For example, if the price makes a higher high while Red line forms a lower high, it may signal a bearish divergence, hinting at a potential reversal.
Overbought/Oversold Conditions: Extreme values of Red line (e.g., significantly above or below zero) can indicate overbought or oversold conditions, helping traders anticipate pullbacks or bounces.
Trend Strength Insight: The normalized output reflects how far the price deviates from its average, providing a measure of momentum and trend strength.
**Customizable Parameters
Traders can adjust the period, moving average type, applied price, and shift to suit their trading style and timeframe.
**How It Works
Label1 (Red Line): Represents the normalized price deviation from a user-selected moving average (SMA, EMA, SMMA, or LWMA) divided by the standard deviation over the specified period. This line highlights the relative position of the price compared to its historical range.
Label2 (Green Line, Optional): A moving average of Label1, which smooths the normalized data to reduce noise and provide clearer signals. This can be toggled on or off via the "Draw MA" option.
**Inputs
Period: Length of the lookback period for normalization (default: 100).
MA Method: Type of moving average for normalization (SMA, EMA, SMMA, LWMA; default: EMA).
Applied Price: Price type used for calculation (Close, Open, High, Low, HL2, HLC3, HLCC4; default: Close).
Shift: Shifts the indicator forward or backward (default: 0).
Draw MA: Toggle the display of the Label2 moving average (default: true).
MA Period: Length of the moving average for Label2 (default: 50).
MA Method (Label2): Type of moving average for Label2 (SMA, EMA, SMMA, LWMA; default: SMA).
**How to Use
Divergence Trading: Look for discrepancies between price action and Label1. A bullish divergence (higher low in Label1 vs. lower low in price) may suggest a buying opportunity, while a bearish divergence could indicate a selling opportunity.
Overbought/Oversold Levels: Monitor extreme Label1 values. For instance, values significantly above +2 or below -2 could indicate overextension, though traders should define thresholds based on the asset and timeframe.
Trend Confirmation: Use Label2 to confirm trend direction. A rising Label2 suggests increasing bullish momentum, while a declining Label2 may indicate bearish pressure.
Combine with Other Tools: Pair Gioteen-Norm with support/resistance levels, RSI, or volume indicators for a more robust trading strategy.
**Notes
The indicator is non-overlay, meaning it plots below the price chart in a separate panel.
Avoid using a Period value of 1, as it may lead to unstable results due to insufficient data for standard deviation calculation.
This tool is best used as part of a broader trading system rather than in isolation.
**Why Use Gioteen-Norm?
The Gioteen-Norm indicator offers a fresh take on price normalization, blending statistical analysis with moving average techniques. Its flexibility and clarity make it suitable for traders of all levels—whether you're scalping on short timeframes or analyzing long-term trends. By publishing this for free, I hope to contribute to the TradingView community and help traders uncover hidden opportunities in the markets.
**Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Always backtest and validate any strategy before trading with real capital, and use proper risk management.
Vertical Line at Specified HoursThis script helps you easily separate time.
This indicator can be used for many different purposes. For example, I use it to separate different days and sessions.
Features :
1- Ability to use 10 vertical lines simultaneously
2- The Possibility to change the color of lines
3- The Possibility to change the line type
Tip : The times you enter in the input section must be in the New York time zone.
Ryna 3 EMA Multi-Timeframe Indicator**EMA Multi-Timeframe Strategy (Pine Script v6)**
This TradingView indicator is designed to assist traders using a **multi-timeframe trend-following strategy** based on Exponential Moving Averages (EMAs).
**Core Functionality**
- **Trend Identification:**
Uses a configurable **EMA (e.g., EMA 50)** on a **higher timeframe** (e.g., H1, D1, W1) to determine the market bias:
- If price is **above** the trend EMA → **Long bias**
- If price is **below** the trend EMA → **Short bias**
- **Entry Signals:**
Uses two EMAs (fast & slow, e.g., EMA 8 & EMA 21) on either:
- The **current chart timeframe**, or
- A **separately selected timeframe** (e.g., entry on M15, trend on H1)
→ Signals are generated based on **EMA crossovers**:
- **Bullish crossover** (fast crosses above slow) → Long signal
- **Bearish crossover** (fast crosses below slow) → Short signal
- Only when aligned with the higher-timeframe trend
- **Visual Output:**
- Optional display of entry EMAs when sourced from the trend timeframe
- Always displays the trend EMA
- Entry signals shown with triangle markers on the chart
- **Info Panel (Top Center):**
- Shows selected timeframes and EMA settings
- Indicates current trend bias (LONG / SHORT / NEUTRAL)
- Notes if entry EMAs are hidden due to settings
- **Alerts:**
- Optional alerts for long and short entry signals based on EMA crossovers
#### **User Inputs**
- **Trend Timeframe & EMA Length**
- **Entry Timeframe & EMA Fast/Slow Lengths**
- **Option to show/hide entry EMAs when using the trend timeframe**
- **Option to show/hide Infobox on Chart**
Session Range (Pips/Points) Marcos Trader## English Description
Title: Session Range Indicator (Pips/Points)
Summary:
This indicator calculates and displays the price range (high - low) for the Asian, London, and New York trading sessions directly on your chart. It helps you quickly visualize the volatility of each recent session, showing the result in whole Pips for Forex or in Points for other instruments.
Key Features:
Calculates the High-Low range for the Asia, London, & NY sessions.
Displays the range in whole Pips for Forex (automatically detects JPY pairs for correct calculation).
Displays the range in Points (based on syminfo.mintick) for Indices, Crypto, Commodities, Stocks, etc.
100% Configurable Session Times: Define the exact start time, end time, and most importantly, the Time Zone for each session (Asia, London, NY) in the indicator settings. This ensures accuracy regardless of Daylight Saving Time or your chart's timezone!
Shows clear labels with the range near the end of each calculated session.
Options to individually show or hide the labels for each session.
Allows configuration of label transparency.
Allows defining how many past session labels to display on the chart (default is 5).
Developed in Pine Script v6.
How to Use:
Add the indicator to your chart.
Open the indicator Settings (gear icon).
Go to the "Session Times" section.
For each session (Asia, London, NY), enter the schedule in HHMM-HHMM format and ensure you add the correct Time Zone using a colon followed by the standard name (e.g., :Europe/London, :America/New_York, :Asia/Tokyo, :UTC+2, :UTC-5). This step is crucial.
Adjust the display options under "Show Sessions" and "Appearance" according to your preferences.
Click "OK".
Notes:
The accuracy of the indicator critically depends on the correct configuration of the times and time zones in the settings. The range label appears near the last bar belonging to the defined session.
MarketLuminaMarketLumina: A Comprehensive Technical Analysis Tool
MarketLumina is a technical analysis indicator crafted by a team of traders and developers in Germany. Built for TradingView’s Pine Script, it integrates trend visualization, signal generation, and real-time market insights to provide a multifaceted view of market conditions. This tool is designed to support traders in analyzing trends, spotting potential reversals, and evaluating market dynamics across various timeframes.
The best way to get started with MarketLumina is to take your time exploring its wide range of features. Dive in, experiment, and find the 2-3 tools that feel just right for you. Whether you’re a day trader looking for quick signals, a swing trader tracking trends, or an investor watching the bigger picture, MarketLumina lets you pick and choose what works best. Over time, you’ll craft your own unique trading strategy, perfectly tailored to your goals, preferences, and risk tolerance.
Key Features
Fibonacci Trend-Cloud
Displays market direction through Fibonacci-weighted moving averages. The cloud’s color—green (bullish), red (bearish), or yellow (caution)—reflects prevailing conditions, while its width indicates trend intensity.
Advanced Signal System
Generates signals derived from RSI, momentum, volume, money flow, volatility, price action, divergences, specific cloud-interactions, divergences and historical data. Signal categories include strong reversals, potential reversals, short-term tops/bottoms, strong trend, oversold/overbought conditions, exit signals, and money flow strategy triggers.
LuminaPulse – Real-Time Market Insight
A proprietary module that delivers real-time market analysis through a dashboard of six progress bars, each tailored to the symbol and timeframe using a machine learning approach. It screens historical data—key levels, consolidation zones, volatility spikes, and past price reactions—to optimize insights.
Support & Resistance Zones
Highlights critical price levels using volume-weighted historical data and price-action pivot points.
Candlestick-Overlay
Applies color coding to candlesticks—green (bullish), red (bearish), yellow (caution)—to emphasize signal-relevant bars.
Usage Instructions
MarketLumina is intended as a component of a broader analytical framework.
Below are general guidelines for its application:
Multi-Timeframe Analysis
Align signals with trends on higher timeframes for context.
LuminaPulse Interpretation
Evaluate confluence across trend strength, momentum, money flow, and volume to assess market conditions. Additionally, monitor squeeze conditions for potential breakout signals and volatility to gauge market activity.
Trend-Cloud Context
Use the Fibonacci Trend-Cloud’s direction and width as a filter for signal relevance.
Usage Instructions for MarketLumina’s Advanced Signal System
The Advanced Signal System is a core component of MarketLumina, designed to empower traders by generating a variety of signals derived from RSI, momentum, volume, money flow, volatility, divergences, price action, and more. These signals are organized into distinct categories to help you identify key market conditions and uncover potential trading opportunities.
Below is a comprehensive guide to each signal category, including descriptions, interpretations, and practical applications to enhance your trading decisions:
Strong Reversals
Reversal Signals are generated using a complex price action and volatility algorithm, pinpointing significant potential turning points in the market with elevated confidence.
How to Use:
Look for these signals near critical support or resistance levels, especially when supported by the Fibonacci Trend-Cloud or LuminaPulse metrics.
Treat them as powerful reversal cues when they align with overarching market trends or follow prolonged price movements.
Interpretation:
A bullish Reversal signal flags a strong probability of an upward reversal, often in oversold conditions, suggesting a shift to bullish momentum.
A bearish Reversal signal points to a likely downward reversal, typically in overbought scenarios, indicating bearish potential.
Their reliability increases with confluence factors like divergences or a notable shift in money flow.
Potential Reversals
These signals flag possible trend continuation after a pullback based on price action, RSI thresholds and specific trend-cloud interaction, offering early insights with moderate certainty compared to strong reversals.
How to Use:
Use them as preliminary alerts for potential reversals of a pullback continuing its trend, particularly near support or resistance zones.
Validate their strength with additional tools like the Trend-Cloud thickness or LuminaPulse to gauge reliability.
Interpretation:
Bullish potential reversals hint at the onset of an upward move, while bearish ones suggest a downward continuation may be brewing.
Ideal for spotting early opportunities, these signals gain credibility when paired with confirming indicators.
Short-Term Tops/Bottoms
These signals mark temporary price extremes, identifying short-term tops or bottoms within a trend, driven by Multi-RSI algorithms.
How to Use:
In trending markets, leverage these signals to anticipate brief pullbacks or corrections within the dominant direction.
In range-bound markets, use them to pinpoint reversal points within the established range.
Interpretation:
A short-term top indicates a temporary possible high, offering opportunities to lock in profits or brace for a dip.
A short-term bottom suggests a fleeting low, signaling a potential bounce or recovery within the larger trend.
Oversold/Overbought Conditions
This category highlights extreme market states with oversold/overbought conditions, derived from RSI and price action.
How to Use:
In strong trends, these signals affirm the likelihood of potential temporary exhaustion.
In weaker trends, they signal potential exhaustion and could early indicate reversals.
Interpretation:
Oversold signals in strong trends could mark a short-term break or slower trend continuation and should not be interpreted as a reversal signal.
Strong Trend
These signals flag possible trend continuation based on six key metrics—RSI, Money Flow, Momentum, and more—align to confirm robust momentum.
How to Use:
In strong trends, these signals affirm the likelihood of a continuation.
Interpretation:
Strong trend signals could be interpreted as a confirmation of the bullish movement and a possible continuation.
Money Flow Strategy Triggers
Built on money flow analysis, these signals track capital inflows and outflows on multiple timeframes to reveal shifts in buying or selling pressure, offering a window into market sentiment.
How to Use:
Deploy these triggers to refine entry or exit timing, especially when they sync with other signals and the Trend-Cloud’s direction.
Pair them with LuminaPulse’s Money Flow, Momentum and volume sentiment for a deeper understanding of market participation.
Interpretation:
Positive money flow triggers indicate rising buying pressure, often a precursor to upward price action.
Negative money flow triggers signal increasing selling pressure, potentially foreshadowing a downturn.
Their value shines when diverging from price action, exposing hidden strength or weakness in the market.
Usage Instructions for LuminaPulse
LuminaPulse is a standout feature of MarketLumina, delivering real-time insights into market conditions through a sophisticated, machine-learning-driven approach. It analyzes historical data unique to each symbol and timeframe—examining past key levels, consolidation zones, volatility spikes, and price reactions—to create a dashboard of six progress bars.
These bars represent the strength of critical market factors:
Money Flow
Momentum
Volume
Strength (Trend Strength)
Squeeze
Volatility
Each bar is color-coded—green for bullish conditions, red for bearish—and its fill level reflects the factor’s strength relative to historical patterns. A fully loaded bar suggests a high likelihood of a notable price reaction, based on how the market has responded to similar conditions in the past. What makes LuminaPulse unique is its ability to tailor these insights to the specific symbol and timeframe, going beyond raw metrics to show their historical significance.
Additionally, each bar features a "Ghost-Progress" overlay, marking the highest strength level reached in the current trend. This allows you to see whether the current strength is nearing or retreating from recent peaks, adding depth to your analysis.
How to Use LuminaPulse
LuminaPulse is a confirmation tool, not a standalone signal generator. It shines when paired with other MarketLumina features, like the Fibonacci Trend-Cloud or Advanced Signal System, as part of a broader trading strategy.
Here’s how to apply it effectively:
Seek Confluence
Check for alignment across multiple bars. For example, if Money Flow, Momentum, and Volume are all green and highly filled, it could indicate strong bullish potential.
Spot Divergences
Look for mismatches between price action and the bars. If price rises but Momentum weakens, it might hint at a fading trend.
Monitor Squeeze: A fully loaded Squeeze bar signals consolidation and potential volatility ahead. Use other tools to predict the breakout direction.
Assess Volatility: The Volatility bar sets the context—high levels suggest bigger price swings, while low levels indicate a calmer market.
Interpreting Each Progress Bar
1. Money Flow
Measures the strength of money flowing into or out of the market, compared to historical thresholds, key-levels and past price reactions, using a machine learning approach, tailored to the symbol and timeframe. It’s not just the raw money flow index—it’s the likelihood of a price move based on historical similar money flow movements.
How to Use:
Look for a fully loaded bar alongside a strong Momentum bar near key levels or signals.
Watch for a bar switching colors (e.g., red to green) with a robust Momentum bar for potential trend shifts.
Treat it as the fuel behind price moves, not the absolute flow level.
Interpretation:
A fully loaded green bar suggests strong buying pressure; a red bar indicates selling pressure.
Divergence (e.g., price up, Money Flow down) can signal an impending reversal—confirm with other tools.
2. Momentum
Gauges the strength and direction of price momentum, factoring in historical key levels, volatility, and past reactions, optimized by a machine learning approach, tailored to the symbol and timeframe. It reflects momentum’s strength and potential impact, not just its current state.
How to Use:
Pair a fully loaded bar with a strong Money Flow bar near signals or key levels.
A switching bar (e.g., bearish to bullish) with a solid Money Flow bar may hint at a trend change.
View it as the driving force behind price momentum.
Interpretation:
A fully loaded green bar signals powerful upward momentum; a red bar shows downward force.
Divergence from price action (e.g., price down, Momentum up) can be a reversal clue—verify with confluence.
3. Volume
Shows whether volume is pushing price up or down, based on historical patterns and key levels near the current price, tailored to the symbol and timeframe.
How to Use:
Look for a bar over 50% filled, aligned with Money Flow and Momentum, near signals or key levels.
Combine a strong bar with a fully loaded Squeeze bar for breakout potential.
See it as the muscle behind buying or selling pressure.
Interpretation:
A green bar over 50% suggests volume supports upward moves; a red bar indicates downward pressure.
Alignment with other bars near support/resistance can confirm breakouts or rejections.
4. Strength (Trend Strength)
Focuses on the current trend’s robustness, comparing it to historical price movements, trend direction, and volatility. It helps spot pullbacks or early trend-shift warnings.
How to Use:
Watch for a fully loaded bar opposite your trade, paired with weakening Money Flow or Momentum, as an exit cue.
For reversals, confirm a fully loaded bar with at least two other aligned bars.
Use it to gauge the power of short-term price action.
Interpretation:
A fully loaded bar with supporting bars confirms trend strength.
A dropping bar as price tests key levels may signal a pullback or shift—check support/resistance.
5. Squeeze
Highlights consolidation and building pressure from buyers and sellers, suggesting a big move ahead. Its color reflects the trend but isn’t a reliable directional guide.
How to Use:
A fully loaded bar signals an imminent breakout—use other indicators for direction.
Pair with strong Strength and Volume for timing confirmation.
Treat it as a timing tool, not a directional one.
Interpretation:
A fully loaded bar means a significant move is likely, but not where it’s headed.
Use it to prepare for action, not to predict the outcome—direction comes from confluence.
6. Volatility
Measures current volatility relative to historical levels, using a machine learning approach to analyze past volatility and duration patterns specific to the symbol and timeframe. A calm bar might still appear during big swings if that’s normal for the asset or a calm bar could appear after a big move if it's normal for the asset to show single volatility spikes with consolidation afterwards.
How to Use:
Use a high Volatility bar (fully loaded) to favor short-term trades; a low bar (empty) suggests a quieter market.
Pair with Squeeze to anticipate breakout strength.
Adjust your strategy based on the market’s activity level.
Interpretation:
A fully loaded bar signals high volatility and bigger swings; an empty bar indicates low volatility and smaller moves.
Context is key—high volatility for one symbol might be calm for another, based on its history.
Key Features of LuminaPulse
Tailored Insights: Each bar’s strength is customized to the symbol and timeframe’s historical behavior, making it uniquely relevant.
Ghost-Progress: See the peak strength in the current trend, helping you judge if conditions are peaking or fading.
Individual-Adapting Edge: Algorithms adapt to historical data, ensuring insights reflect past reactions, not just current values.
Important Notes
LuminaPulse is a complex, unique tool designed to enhance your analysis, not dictate trades. Its strength lies in its historical context and real-time adaptability, but it’s most effective when combined with other MarketLumina features and your own strategy.
Illustrative Scenarios
Trend Continuation Example
Picture a market where momentum is steadily building. The Fibonacci Trend-Cloud turns red across both the primary and higher timeframes, reflecting a strong bearish direction. As this trend takes shape, reversal or strategy-based signals begin to line up with the cloud’s downward tilt, hinting at sustained weakness. Short-term bottoms and tops might start forming, offering clues about the trend’s rhythm, while a widening cloud could suggest growing confidence in the move. This setup showcases how the indicator can highlight a trend gathering steam, with multiple features reinforcing the direction.
Reversal Example
Imagine a market that’s been rising but approaches a key support zone. Suddenly, strong reversal signals flash on the chart, catching attention near this critical level. Price action starts to stabilize or reject, while LuminaPulse metrics show a subtle uptick in momentum or a shift in volume sentiment. As the market tests this zone, opposing signals fade, and the potential for a downward turn becomes clearer. This scenario illustrates how the indicator’s signals and metrics can converge to spotlight a possible shift in direction.
Pullback Analysis Example
Consider a strong bullish trend unfolding on the higher timeframe, painting a broad picture of upward movement. Zooming into the lower timeframe, a brief retracement emerges, pulling price back toward a support level. Here, strategy-based or reversal signals might pop up, marking this as a key area to watch. LuminaPulse could reveal a slowdown in downward momentum or a tightening of trend strength, suggesting the retracement might be running out of energy. This example demonstrates how the indicator can help dissect a pullback, revealing opportunities within an ongoing trend.
Range-Bound Market Example
Envision a market stuck in a sideways drift, with the Fibonacci Trend-Cloud narrowing and turning yellow—a sign of consolidation. Reversal signals begin appearing near support and resistance zones, hinting at potential bounces within the range. LuminaPulse metrics might spike, showing bursts of volatility or squeeze conditions building up. As price nears these boundaries, the chance of a breakout looms, with retests of the zones offering further clarity. These examples show how MarketLumina’s features—like the cloud’s color and width, signal alignments, and LuminaPulse shifts—can work together to illuminate market dynamics. Whether it’s a trend gaining traction, a reversal brewing, a pullback pausing, or a range tightening, the indicator provides visual and analytical cues to explore. By watching how these elements evolve, you can get a feel for the market’s rhythm and sharpen your understanding of what to look for in different situations.
Legal Notices
MarketLumina is a technical analysis tool, not a substitute for professional financial advice.
Trading carries inherent risks; past performance does not guarantee future outcomes.
All content is provided for educational purposes only and does not constitute trading recommendations. Users bear full responsibility for their trading decisions and are urged to prioritize robust risk management.
Vulkan Profit
Overview
The Vulkan Profit indicator is a trend-following tool that identifies potential entry and exit points by monitoring the relationship between short-term and long-term moving averages. It generates clear buy and sell signals when specific moving average conditions align, making it useful for traders looking to confirm trend changes across multiple timeframes.
How It Works
The indicator utilizes four different moving averages:
Fast WMA (period 3) - A highly responsive weighted moving average
Medium WMA (period 8) - A less sensitive weighted moving average
Fast EMA (period 18) - A responsive exponential moving average
Slow EMA (period 28) - A slower exponential moving average
These moving averages are grouped into two categories:
Short-term MAs: Fast WMA and Medium WMA
Long-term MAs: Fast EMA and Slow EMA
Signal Generation Logic
The Vulkan Profit indicator generates signals based on the relative positions of these moving averages:
Buy Signal (Green Triangle)
A buy signal appears when the minimum value of the short-term MAs becomes greater than the maximum value of the long-term MAs. In other words, when both short-term MAs cross above both long-term MAs.
Sell Signal (Red Triangle)
A sell signal appears when the maximum value of the short-term MAs becomes less than the minimum value of the long-term MAs. In other words, when both short-term MAs cross below both long-term MAs.
Visual Components
Moving Averages - All four moving averages can be displayed or hidden
Signal Arrows - Green triangles for buy signals, red triangles for sell signals
Colored Line - A line that changes color based on the current market stance (green for bullish, red for bearish)
Customization Options
The indicator offers several customization settings:
Toggle the visibility of moving averages
Toggle the visibility of buy/sell signals
Adjust the color, width, and position of the signal line
Choose between different line styles (Line, Stepline, Histogram)
Practical Trading Applications
Trend Identification: The relative positioning of all moving averages helps identify the current market trend
Entry/Exit Points: The buy and sell signals can be used as potential entry and exit points
Trend Confirmation: The colored line provides ongoing confirmation of the trend direction
Filter: Can be used in conjunction with other indicators as a trend filter
Trading Strategy Suggestions
Trend Following: Enter long positions on buy signals and exit on sell signals during trending markets
Confirmation Tool: Use the signals to confirm trades identified by other indicators
Timeframe Analysis: Apply the indicator across multiple timeframes for stronger confirmation
Risk Management: Place stop-loss orders below recent swing lows for long positions and above recent swing highs for short positions
Tips for Best Results
The indicator performs best in trending markets and may generate false signals in ranging or highly volatile markets
Consider the broader market context before taking trades based solely on these signals
Use appropriate position sizing and risk management regardless of the indicator's signals
The longer timeframes generally produce more reliable signals with fewer false positives
The Vulkan Profit indicator combines the responsiveness of short-term averages with the stability of long-term averages to capture significant trend changes while filtering out minor price fluctuations.
Radi IQ [TradingIQ]Introducing "Radi IQ".
Radi IQ is a comprehensive market structure indicator designed to provide traders with a detailed view of key price levels and market behavior. It combines several analytical methods—including internal and external structure analysis, fair value gaps, order blocks, breaker blocks, rejection blocks, premium discount zones, equal levels, directional liquidity grabs, and trend meters —to help users better understand areas of support and resistance, potential turning points, and liquidity events in the market.
Key Components and Their Functions
Market Structure Analysis
Internal and External Structure : The indicator evaluates market structure on two levels. The internal analysis focuses on immediate price action (e.g., recent support/resistance and swing points), while the external analysis uses a higher timeframe to provide context. This dual approach helps to confirm the strength of key levels by comparing short-term moves with the broader market trend.
Break of Structure (BoS) and Change of Character (CHoCH) : These signals highlight moments when the market shifts its behavior. A BoS indicates that a previous level of support or resistance has been overcome, while a CHoCH signals a change in the market’s character. Both are marked clearly on the chart using distinct color codes.
Break of Structure + (BoS+) and Change of Character + (CHoCH+) : These signals highlight moments when the market shifts its behavior and is confirmed by prior price action. A BoS + indicates that a previous level of support or resistance has been overcome, while price action achieves higher highs and higher lows (resistance break) or lower highs and lower lows (support break). CHoCH + signals a change in the market’s character when supported by prior price action - lower highs for a support break and higher lows for a resistance break.
BoS and CHoCH
The image above shows BoS and CHoCH identified on the price chart, and explains what each signifies.
A Break Of Structure (BoS) occurs when price decisively moves beyond a previously established support or resistance level. It indicates that the current trend or market pattern is being challenged, and the market may be ready to change direction.
A Change of Character (CHoCH) describes a shift in how the market behaves. A CHoCH occurs when, in an uptrend, a previously established support level breaks, or in a downtrend, a previously established resistance level breaks.
This break indicates that the market's typical structure is shifting, suggesting that the current trend may be losing its strength and that a reversal or a new trend could be developing.
CHoCH+
The image above explains CHoCH+ and how it forms, while highlighting an instance where a downside CHoCH+ formed following lower highs.
A Change of Character + (CHoCH+) describes a shift in how the market behaves that is supported by prior price action. For support breaks, price must form lower highs before breaking support.
The image above explains CHoCH+ for resistance breaks, while highlighting an instance where a resistance point broke that was supported by prior price action.
BoS+
The image above explains BoS+ and how it forms, while highlighting an instance where an upside BoS+ formed following higher highs and higher lows.
A BoS+ resistance break requires higher highs and higher lows prior to the resistance point being closed over.
The image above explains BoS+ support break, while highlighting an instance where a downside BoS+ formed following lower highs and lower lows.
A BoS+ support break requires lower highs and lower lows prior to the support point being closed under.
Future BoS and CHoCH
Radi IQ also displays where the next BoS and CHoCH points are located.
The image above shows the feature in action. With this, traders will always know where the next key support/resistance breakpoints are before they actually occur.
Fair Value Gaps (FVG)
The indicator identifies gaps in the price where little or no trading occurred—known as fair value gaps. These gaps can act as temporary support or resistance and may indicate areas where the market is likely to correct. FVGs are displayed with clear color gradients that differentiate between upward and downward gaps.
The image above shows an identified upside FVG. In the image, the identified upside FVG acted as a support point for price.
The image above shows an identified downside FVG. In the image, the identified downside FVG acted as a resistance point for price.
Low Volume FVG
In addition to identifying trading FVGs - Radi IQ can also specifically detect low volume fair value gaps. Ideally, these fair value gaps will form inside a low volume node on a volume profile.
Low volume node FVGs are important because these are areas where very little trading occurred and is confirmable, indicating an imbalance in supply and demand. Since few trades took place there, the market often moves quickly through these zones when revisited, which can lead to rapid price changes. This "gap" in trading activity can serve as a signal for potential reversals or fast moves, offering opportunities to enter or exit positions based on expected market behavior.
The image above shows identified FVGs that formed on low volume.
Large Area FVGs
Radi IQ is also capable of filtering out “inconsequential” FVGs. With this, Radi IQ can be enabled to only mark FVGs that cover a wide price range.
The image above shows the feature enabled, and all identified FVGs formed with a wide price range.
Large Area FVGs and Low Volume FVGs Combined
Traders can also enable Radi IQ to only mark FVGs that form on low volume and have a wide price range - allowing traders to only identify the highest quality FVGs on the chart.
Order Blocks and Premium Discount Zones
Order Blocks: Radi IQ detects areas where large orders have previously been placed by institutional traders. These blocks can act as strong levels of support or resistance, and the indicator marks bullish and bearish order blocks with dedicated colors.
What is an order block?
Order blocks are clusters of orders that institutions have executed to enter or exit a market position. They typically form when there is a period of consolidation before a significant move. For example, the last bullish candle before a strong down move may indicate a supply order block, while the last bearish candle before a sharp rally might be considered a demand order block.
Why They Form:
Institutions don’t trade in small, sporadic amounts; they accumulate or distribute large volumes of an asset. To avoid slippage and minimize market impact, they execute these orders over a zone rather than at a single price point. This creates a recognizable “block” on the chart.
Order Block Identification Types
Strength Score
The “Strength Score” order block detection mode is a TradingIQ proprietary ranking system for identified order blocks.
Purpose
The purpose of the “Strength Score” ranking system is to determine the “strength” or significance of an order block and rate the zone’s likelihood to act as support/resistance when retested in the future.
The scoring system ranks from 0 - 10, with “0” indicating a “weak” score or low likelihood of acting as a key support/resistance level when retested in the future.
A rating of “5” indicates a “moderate” score, indicating that the order block has a moderate likelihood of acting as a key support/resistance level when retested in the future.
A rating of “10” indicates a “strong” score, indicating that the order block has a strong likelihood of acting as a key support/resistance level when retested in the future.
How It Works
The score is calculated by examining the price move following the formation of an order block. The stronger the price move after an order block forms - the higher the Strength Score.
The image above shows a bearish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
The image above shows a bullish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
Volume-Based
The volume-based order block detection method detects traditional order blocks, but goes one step further by identifying the highest concentration point of volume for the bar and drawing the order block around this concentration point.
Key features when using the volume-based order block detection method:
The top of the order block is anchored to the top of the highest volume concentration point of the bar
The bottom of the order block is anchored to the bottom of the highest volume concentration point of the bar
The total volume that went into creation of the order block is displayed on the chart
The total volume of the order block is recorded as a percentage relative to the total volume for all order blocks on the chart
The image above shows the detection method in action.
Breaker Blocks
A breaker block is a specific type of order block that gains significance when price breaks through it and then often retests the level as a new area of support or resistance. Essentially, it’s a zone where, after the initial break, the previous level (which once acted as strong support or resistance) flips roles. For example, in an uptrend, if the price falls below a key support level, that level can become a breaker block and act as resistance if the price tries to move back up. Conversely, in a downtrend, a broken resistance level can serve as new support. Traders monitor breaker blocks because they often mark a shift in market sentiment and can provide potential entry or exit points once the market re-engages with these levels.
The image above shows a breaker block above price acting as resistance.
The image above shows a breaker block below price acting as support.
Rejection Blocks
A rejection block is a price area where the market shows a strong unwillingness to move beyond a certain level. This typically happens when price approaches a specific level but then is quickly rejected, leading to a bounce in the opposite direction. In other words, a rejection block forms when traders' orders create a barrier, causing the price to reverse rather than break through. Traders watch these areas closely, as they often signal a strong concentration of supply or demand that could provide potential entry or exit points for trades.
The image above shows both a verified upside rejection block acting as resistance, and an untested downside rejection block.
Rejection blocks are expected to function as strong support/resistance points when retested in the future.
Premium Discount Zones
Premium Discount Zones : These zones reflect areas where price is trading above (premium) or below (discount) a fair value range. They help traders gauge whether the current market price is relatively high or low compared to historical averages.
Premium Discount Zones account for recent swing highs and lows to calculate a fair value along with discount and premium prices over an intermediate time window.
The image above shows the premium and discount price zones in action.
Equal Levels
The indicator also tracks and highlights equal levels, which occur when the market repeatedly tests the same price levels. Equal levels can reinforce the significance of a support or resistance area and are represented by their own set of color markers.
The image above shows Radi IQ distinguishing equal highs and equal lows.
Equal Highs
When you see two or more highs that are approximately the same, it suggests that the market is repeatedly rejecting attempts to push higher. This signals a strong resistance level where sellers (or stop-hunters) are active.
Equal Lows
Similarly, consecutive lows at the same level indicate strong support, where buyers step in consistently, preventing further decline.
Strong Highs and Lows
Strong High
A strong high is a price level where the market repeatedly fails to push higher. Typically, it’s characterized by:
Rejection: Price approaches the high but then reverses sharply, often leaving long upper wicks on the candlestick chart.
Consolidation: Multiple bars might show highs that are very close in value (often termed "equal highs"), indicating a well-established resistance zone.
Market Sentiment: This pattern suggests that sellers are actively defending that level, preventing further upward movement.
Strong Lows
Conversely, a strong low is a price level where the market repeatedly fails to break lower. It is identified by:
Bounce Back: Price touches the low and then rebounds sharply, often leaving long lower wicks.
Consistency: Multiple lows occur around the same level (sometimes referred to as "equal lows"), marking a solid support area.
Market Sentiment: This indicates that buyers are stepping in at that level, absorbing selling pressure and supporting the price.
The image above shows Radi IQ detecting both a strong high and strong low, while the detected strong low acts as support when retested.
Liquidity Grabs
Liquidity grabs occur when the market temporarily moves to absorb liquidity, often triggering stop-loss orders and leading to rapid price movements. Radi IQ flags these events by identifying conditions where price moves against recent pivots, helping traders spot potential liquidity-related reversals or breakouts.
The image above shows Radi IQ identifying both an upside liquidity grab and a downside liquidity grab.
Upside Liquidity Grab (Bearish)
An upside liquidity grab happens when the price moves above a well-known resistance area or recent high. This move is often short-lived.
Many traders place stop-loss orders or pending buy orders just above resistance levels. Institutional players may intentionally push price upward to trigger these orders, thereby “grabbing” the liquidity available at that level.
Downside Liquidity Grab (Bullish)
A downside liquidity grab is the mirror image: the price briefly dips below a key support level or recent low.
Traders often place stop-loss orders or pending sell orders just below support levels. An intentional drop below this support can trigger these stops, allowing institutional players to capture liquidity.
Multi-Timeframe Analysis and Swings
By using data from different timeframes, Radi IQ offers a broader perspective on market trends. It highlights significant swing highs and swing lows, providing visual cues that indicate the market’s directional bias. This feature assists traders in identifying both short-term opportunities and long-term trends.
The image above shows Radi IQ detecting higher swings and lower swings.
IQ Meters / Fibometer
IQ Meters (Fibometers) are a proprietary TradingIQ tool that allows traders to easily identify the highs and lows of the current trend and where current price is relative to these points.
The image above depicts the IQ Meters—an exclusive TradingIQ tool designed to help traders evaluate trend strength and retracement opportunities.
When the lower timeframe Zig Zag IQ and the higher timeframe Zig Zag IQ are out of sync (i.e., one is uptrending while the other is downtrending, with no active positions), the meters display a neutral color as shown in the image.
The key to using these meters is to identify trend unison and pinpoint key trend retracement entry opportunities. Fibonacci retracement levels for the current trend are interlaced along each meter, and the current price is converted to a retracement ratio of the trend.
These meters can mathematically determine where price stands relative to the larger and smaller trends, aiding in identifying entry opportunities.
The top of each meter indicates the highest price achieved during the current price move.
The bottom of each meter indicates the lowest price achieved during the current price move.
When both the larger and smaller trends are in sync and uptrending, or when a long position is active, the IQ meters turn green, indicating uptrend strength.
When both meters are green, it indicates uptrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
When both trends are in sync and downtrending, or when a short position is active, the IQ meters turn red, indicating downtrend strength.
When both meters are red, it indicates downtrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
Summary
Radi IQ serves as a robust, data-driven tool for traders who seek a deeper understanding of market structure. By integrating internal and external analysis, fair value gap detection, order block identification, premium discount zoning, equal level tracking, liquidity grabs and much more into one indicator, it offers a multi-layered view of the market. This helps traders not only recognize potential turning points and areas of market stress but also manage risk more effectively and plan their trades with greater precision. The indicator’s clear visual representation and dynamic updates make it a practical addition to any trader’s toolkit.
IQ Liquidation Heatmap [TradingIQ]Introducing "IQ Liquidation Heatmap".
IQ Liquidation Heatmap is a proprietary indicator designed to identify and display price zones where large numbers of crypto position liquidations are likely to occur. It presents both current liquidation zones—areas where a cascade of liquidations would be triggered if the price is reached—and historical liquidation zones, where such events have taken place before.
Why Liquidations and Liquidation Cascades Are Important
Liquidation cascades are important because they can lead to rapid and significant price moves in the market. When many traders have set stop-loss orders or are highly leveraged at similar price levels, a move that hits these zones can force a large number of positions to close at once. This mass closing of positions not only accelerates the price movement but can also trigger further liquidations in a self-reinforcing loop.
Understanding where these cascades occur helps traders recognize potential support and resistance levels. It also provides insights into where market participants are most vulnerable, allowing for better risk management and more informed trading decisions. In short, liquidation cascades highlight key areas of market stress that can lead to increased volatility and opportunities for those prepared to act.
In short, if a lot of short positions are liquidated simultaneously, an upside liquidation cascade can occur. During an upside liquidation cascade, price will increase intensely to the upside with high volatility.
If a lot of long positions are liquidated simultaneously, a downside liquidation cascade can occur. During a downside liquidation cascade, price will decrease intensely to the downside with high volatility.
Knowing where these liquidation cascades can occur is invaluable information for crypto traders.
What IQ Liquidation Heatmap Does
IQ Liquidation Heatmap visually maps price levels that have seen or may see liquidation cascades. In plain terms, it shows you where many stop-losses or leveraged positions have been triggered in the past and where similar events can occur in the future. By highlighting these zones, the indicator helps you understand areas of market stress that could lead to rapid price movements.
The image above shows a historical liquidation cascade occurring. Clustered bubbles show large amounts of liquidations occurring - the more bubbles and the brighter they are, the stronger the liquidation cascade. During a liquidation cascade, there is a higher chance that a strong downtrend or uptrend will continue.
Current Liquidation Levels
The image above explains current liquidation levels.
Current liquidations levels are price areas where a large number of positions will be liquidated. If a liquidation level is above the current price, then it is considered a price zone where shorts will be liquidated. If a liquidation level is below the current price, then it is considered a price zone where longs will be liquidated.
In this image, bright green levels represent price areas where the highest amount of positions will be liquidated, while dark purple levels represent price areas where the lowest amount of positions will be liquidated.
An active (current) liquidation level will extend to the right beyond the current price because they have not yet been hit.
When strong liquidation levels (green - bright green) are hit and are above price, it is expected that an upside liquidation cascade will occur. When strong liquidations are hit and are below price, it is expected that a downside liquidation cascade will occur.
Historical Liquidation Levels
The image above explains historical liquidation levels.
Historical liquidation levels stop at the bar where they are hit, so you can see how price responded to hitting a key liquidation level.
In this image, bright green levels represent price areas where the highest amount of positions will be liquidated, while dark purple levels represent price areas where the lowest amount of positions will be liquidated.
If price moves up into a liquidation level, then shorts are being liquidated. If price moves down into a liquidation level, then longs are being liquidated. In the image, we can see that when bright green liquidation levels were hit - a liquidation cascade occurred. During this cascade, price continued to move strongly to the downside with high volatility.
During the uptrend after the downtrend, we can see some bright green liquidation levels were also hit - causing an upside liquidation cascade that resulted in strong, volatile upside price moves.
Gradient Bar
The image above explains the liquidations gradient bar.
The bar located on the right of your chart shows what colors correspond to low, medium, and high liquidation levels.
In this image, bright green means the liquidation level is strong, while dark purple means the liquidation level is weak. By extension, we would expect liquidation cascades or strong price moves to more likely occur when a cluster of bright green liquidation zones are hit. Additionally, we would expect a small reaction (or no reaction at all) when dark purple liquidation zones are hit.
Colors are customizable.
Liquidation Cluster Bar
The image above explains the liquidation cluster bar.
The liquidation cluster bar aggregates liquidation zones and shows the approximate price areas where the highest number of liquidation points are located.
In this image, the green portion of the bar represents where the largest number of traders will be liquidated in aggregate. While the purple portions of the bar shows where the smallest number of traders will be liquidated in aggregate.
This bar is useful for clustering liquidations zones across larger price areas to see where the highest number of traders are likely to be liquidated.
Concept Behind IQ Liquidation Heatmap
The basic idea is simple: in crypto markets, when price reaches certain levels, many traders’ positions can be liquidated at once, causing sharp moves in price. These zones are not random. They are built on historical price data and statistical analysis of past liquidation events. IQ Liquidation Heatmap captures this information and presents it in an easy-to-read format.
Key points include:
Current Liquidation Zones: These are the areas where, if the price moves into them, a high number of liquidations could occur.
Historical Liquidation Zones: These show where liquidation cascades have happened in the past, offering context on how the market has behaved under stress.
Key Features of IQ Liquidation Heatmap
Real-Time and Historical Data:
The indicator combines current market conditions with historical liquidation events. It updates dynamically to reflect real-time data while also showing past liquidation zones.
Visual Heatmap:
The display uses color gradients to represent the intensity of liquidation activity. Brighter or more intense colors indicate zones with a higher likelihood of triggering liquidations, while darker colors represent areas with lower activity.
User-Friendly Interface:
IQ Liquidation Heatmap is designed to be simple and straightforward. The visual output clearly marks the price levels of interest, making it easy for traders to see where liquidations might occur.
Proprietary Calculation:
The data behind the indicator is calculated using proprietary methods that consider historical price action, statistical ranges, and liquidity distribution. This means the indicator adapts to the specific characteristics of different crypto assets and timeframes.
Dynamic Updates:
The indicator recalculates its output in real time as new price data comes in. This ensures that the displayed liquidation zones are always current and reflect the latest market conditions.
How IQ Liquidation Heatmap Works
Data Collection:
IQ Liquidation Heatmap gathers historical price data as well as data on liquidation events. This data is used to identify key price ranges and levels where liquidations have previously occurred.
Statistical Analysis:
The indicator applies statistical methods—such as calculating medians and percentiles—to determine the significance of each price range. This analysis helps to rank the importance of various liquidation zones.
Liquidity Clustering:
Areas with a high concentration of liquidations are identified by examining how many positions or stop orders are clustered at specific price levels. These clusters are then represented on the chart using a heatmap style.
Visual Mapping:
The calculated data is overlaid onto the trading chart. Graphical elements like lines, boxes, or filled regions mark the identified liquidation zones. Color gradients help to differentiate between zones with high versus low liquidation risk.
Real-Time Recalculation:
As new price data becomes available, IQ Liquidation Heatmap continuously updates its analysis. This ensures that the indicator remains relevant throughout the trading session and can quickly adjust if market conditions change.
Using IQ Liquidation Heatmap
Traders can use IQ Liquidation Heatmap as an additional tool to support their trading decisions. Here are some practical applications:
Trade Entry And Exit Planning:
The visual cues provided by the indicator can serve as reference points for planning entries and exits. When the price nears a zone known for triggering liquidations, traders can adjust their strategies accordingly.
Risk Management:
By identifying key liquidation zones, traders can better manage risk. Knowing where a liquidation cascade is likely to occur helps in setting more effective stop-loss orders and managing overall exposure.
Market Structure Analysis:
The historical data offered by IQ Liquidation Heatmap gives insight into how the market has reacted in the past during periods of stress. This historical perspective can help in understanding broader market trends and potential future movements.
Summary
IQ Liquidation Heatmap is a straightforward indicator that provides clear visual information about price levels where liquidation cascades have occurred or are likely to occur. By merging historical data with real-time updates and proprietary liquidity analysis, it offers traders a neutral and data-driven way to understand areas of potential market stress for entries and exits. The indicator is simple to use and does not require complex adjustments, making it suitable for traders looking for clear visual cues in the crypto market.
By incorporating IQ Liquidation Heatmap into your analysis toolkit, you can gain a better understanding of key price zones, support effective risk management, and identify liquidation cascades before they occur and potentially identify breakouts before they occur.
Supply and DemandIndicator Description : Precise Supply & Demand Zones with Fibonacci Adjustment
Overview:
This TradingView indicator is based on an innovative method for identifying Supply & Demand (S&D) zones. Unlike traditional methods that highlight broad areas, making precise trading difficult, this indicator allows for more accurate determination of key price levels. It combines classic S&D analysis with Fibonacci adjustments to identify institutional order blocks and probable turning points.
Functionality:
Identification of S&D Zones:
The indicator automatically detects key areas where major market participants ("Smart Money") have placed significant orders, causing strong price movements.
These areas represent untested orders that could be revisited in the future.
Supply zones indicate selling areas, while demand zones define buying areas.
Consideration of Candle Structure:
The number of candles within the consolidation phase influences the strength of a zone: the more candles present, the more significant the area.
Higher timeframes (e.g., 5D, 1W, 1M) provide more robust and reliable S&D zones as they reflect institutional activity.
All relevant levels are visible within a single timeframe, eliminating the need to switch between multiple timeframes.
Fibonacci Integration for Precision:
Instead of traditionally applying the Fibonacci retracement tool between swing highs and lows, it is unconventionally used here: from the open to the close of the candle preceding the impulse move.
This calculates an "Equilibrium Point" within the zone, serving as an optimal entry level.
Visual Representation:
The indicator highlights detected supply and demand zones with distinct colors.
A thin line marks the precise equilibrium point within the zone.
Particularly strong zones with a high probability of reaction are marked more intensely.
Important Notes:
The indicator is not a "holy grail" and is not a 100% foolproof method.
S&D zones are probabilistic and can fail despite all confluence factors.
It provides a solid, backtested strategy for identifying trading areas with high accuracy and efficiency.
Additional Features:
Customizable timeframes and sensitivity parameters
Option to mark historical S&D zones
Support for various asset classes (Crypto, Forex, Stocks)
Customizeable Deviation
Merging levels
This indicator is a valuable tool for traders looking to develop precise entry and exit strategies based on institutional order blocks.
Ichimoku Cloud Auto TF🧠 Timeframe Breakdown for Ichimoku Cloud Auto TF
Each timeframe in this indicator is carefully calibrated to reflect meaningful Ichimoku behavior relative to its scale. Here's how each one is structured and what it's best used for:
⏱️ 1 Minute (1m)
Tenkan / Kijun / Span B: 5 / 15 / 45
Use: Scalping fast price action.
Logic: Quick reaction to short-term momentum. Best for highly active traders or bots.
⏱️ 2 Minutes (2m)
Tenkan / Kijun / Span B: 6 / 18 / 54
Use: Slightly smoother than 1m, still ideal for scalping with a little more stability.
⏱️ 5 Minutes (5m)
Tenkan / Kijun / Span B: 8 / 24 / 72
Use: Intraday setups, quick trend capture.
Logic: Balanced between reactivity and noise reduction.
⏱️ 15 Minutes (15m)
Tenkan / Kijun / Span B: 9 / 27 / 81
Use: Short-term swing and intraday entries with higher reliability.
⏱️ 30 Minutes (30m)
Tenkan / Kijun / Span B: 10 / 30 / 90
Use: Intra-swing entries or confirmation of 5m/15m signals.
🕐 1 Hour (1H)
Tenkan / Kijun / Span B: 12 / 36 / 108
Use: Ideal for swing trading setups.
Logic: Anchored to Daily reference (1H × 24 ≈ 1D).
🕐 2 Hours (2H)
Tenkan / Kijun / Span B: 14 / 42 / 126
Use: High-precision swing setups with better context.
🕒 3 Hours (3H)
Tenkan / Kijun / Span B: 15 / 45 / 135
Use: Great compromise between short and mid-term vision.
🕓 4 Hours (4H)
Tenkan / Kijun / Span B: 18 / 52 / 156
Use: Position traders & intraday swing confirmation.
Logic: Designed to echo the structure of 1D Ichimoku but on smaller scale.
📅 1 Day (1D)
Tenkan / Kijun / Span B: 9 / 26 / 52
Use: Classic Ichimoku settings.
Logic: Standard used globally for technical analysis. Suitable for swing and position trading.
📆 1 Week (1W)
Tenkan / Kijun / Span B: 12 / 24 / 120
Use: Long-term position trading & institutional swing confirmation.
Logic: Expanded ratios for broader perspective and noise filtering.
🗓️ 1 Month (1M)
Tenkan / Kijun / Span B: 6 / 12 / 24
Use: Macro-level trend visualization and investment planning.
Logic: Condensed but stable structure to handle longer data cycles.
📌 Summary
This indicator adapts Ichimoku settings dynamically to your chart's timeframe, maintaining logical ratios between Tenkan, Kijun, and Span B. This ensures each timeframe remains responsive yet meaningful for its respective market context.
Open Range Volatility (High/Low %)Overview
The Open-to-High/Low Movement Indicator helps traders visualize the percentage change between the opening price and the highest & lowest points of each trading session. This indicator is particularly useful for identifying intraday volatility, momentum strength, and potential reversals.
Key Features
✅ Real-Time High/Low Percentage Movement – Calculates and plots the percentage movement from the opening price to both the session high (green line) and session low (red line).
✅ Separate Chart Pane – Keeps your main price chart clean while displaying movements in a separate panel.
✅ Zero Reference Line – Helps distinguish upward and downward movements.
✅ +10% and -10% Threshold Lines – Assists in identifying significant price swings.
✅ Customizable & Lightweight – Efficiently tracks market movements without slowing down your chart.
How to Use
When the green line moves higher, it indicates strong buying pressure after the open.
When the red line moves lower, it shows selling pressure from the open price.
If movements stay within a small range, the market is experiencing low volatility.
Extreme movements beyond ±10% can indicate potential breakout or reversal zones.
Best for:
📈 Day traders tracking intraday momentum
📊 Swing traders spotting volatility trends
⚡ Scalpers identifying quick price movements
💡 Volatility-based strategies
This indicator works across all timeframes and asset classes, including stocks, forex, commodities, and crypto.
🚀 Add this to your chart today and stay ahead of the market!
Multi-Timeframe EMAsMulti Timeframe EMA's
The 'Multi-Timeframe EMA Band Comparison' indicator is a tool designed to analyze trend direction across multiple timeframes using Exponential Moving Averages. it calculates the 50, 100, and 200 period EMAs for fiver user defined timeframes and compares their relationships to provide a visual snapshot of bullish or bearish momentum.
How it Works:
EMA Calculations: For each selected timeframe, the indicator computes the 50, 100, and 200 period EMAs based on the closing price.
Band Comparisons: Three key relationships are evaluated:
50 EMA vs 100 EMA
100 EMA vs 200 EMA
50 EMA vs 200 EMA
Scoring System: Each comparison is assigned a score:
🟢 (Green Circle): The shorter EMA is above the longer EMA, signaling bullish momentum.
🔴 (Red Circle): The shorter EMA is below the longer EMA, signaling bearish momentum.
⚪️ (White Circle): The EMAs are equal or data is unavailable (rare).
Average Score:
An overall average score is calculated across all 15 comparisons ranging from 1 to -1, displayed with two decimal places and color coded.
Customization:
This indicator is fully customizable from the timeframe setting to the color of the table. The only specific part that is not changeable is the EMA bands.
Strategy Stats [presentTrading]Hello! it's another weekend. This tool is a strategy performance analysis tool. Looking at the TradingView community, it seems few creators focus on this aspect. I've intentionally created a shared version. Welcome to share your idea or question on this.
█ Introduction and How it is Different
Strategy Stats is a comprehensive performance analytics framework designed specifically for trading strategies. Unlike standard strategy backtesting tools that simply show cumulative profits, this analytics suite provides real-time, multi-timeframe statistical analysis of your trading performance.
Multi-timeframe analysis: Automatically tracks performance metrics across the most recent time periods (last 7 days, 30 days, 90 days, 1 year, and 4 years)
Advanced statistical measures: Goes beyond basic metrics to include Information Coefficient (IC) and Sortino Ratio
Real-time feedback: Updates performance statistics with each new trade
Visual analytics: Color-coded performance table provides instant visual feedback on strategy health
Integrated risk management: Implements sophisticated take profit mechanisms with 3-step ATR and percentage-based exits
BTCUSD Performance
The table in the upper right corner is a comprehensive performance dashboard showing trading strategy statistics.
Note: While this presentation uses Vegas SuperTrend as the underlying strategy, this is merely an example. The Stats framework can be applied to any trading strategy. The Vegas SuperTrend implementation is included solely to demonstrate how the analytics module integrates with a trading strategy.
⚠️ Timeframe Limitations
Important: TradingView's backtesting engine has a maximum storage limit of 10,000 bars. When using this strategy stats framework on smaller timeframes such as 1-hour or 2-hour charts, you may encounter errors if your backtesting period is too long.
Recommended Timeframe Usage:
Ideal for: 4H, 6H, 8H, Daily charts and above
May cause errors on: 1H, 2H charts spanning multiple years
Not recommended for: Timeframes below 1H with long history
█ Strategy, How it Works: Detailed Explanation
The Strategy Stats framework consists of three primary components: statistical data collection, performance analysis, and visualization.
🔶 Statistical Data Collection
The system maintains several critical data arrays:
equityHistory: Tracks equity curve over time
tradeHistory: Records profit/loss of each trade
predictionSignals: Stores trade direction signals (1 for long, -1 for short)
actualReturns: Records corresponding actual returns from each trade
For each closed trade, the system captures:
float tradePnL = strategy.closedtrades.profit(tradeIndex)
float tradeReturn = strategy.closedtrades.profit_percent(tradeIndex)
int tradeType = entryPrice < exitPrice ? 1 : -1 // Direction
🔶 Performance Metrics Calculation
The framework calculates several key performance metrics:
Information Coefficient (IC):
The correlation between prediction signals and actual returns, measuring forecast skill.
IC = Correlation(predictionSignals, actualReturns)
Where Correlation is the Pearson correlation coefficient:
Correlation(X,Y) = (nΣXY - ΣXY) / √
Sortino Ratio:
Measures risk-adjusted return focusing only on downside risk:
Sortino = (Avg_Return - Risk_Free_Rate) / Downside_Deviation
Where Downside Deviation is:
Downside_Deviation = √
R_i represents individual returns, T is the target return (typically the risk-free rate), and n is the number of observations.
Maximum Drawdown:
Tracks the largest percentage drop from peak to trough:
DD = (Peak_Equity - Trough_Equity) / Peak_Equity * 100
🔶 Time Period Calculation
The system automatically determines the appropriate number of bars to analyze for each timeframe based on the current chart timeframe:
bars_7d = math.max(1, math.round(7 * barsPerDay))
bars_30d = math.max(1, math.round(30 * barsPerDay))
bars_90d = math.max(1, math.round(90 * barsPerDay))
bars_365d = math.max(1, math.round(365 * barsPerDay))
bars_4y = math.max(1, math.round(365 * 4 * barsPerDay))
Where barsPerDay is calculated based on the chart timeframe:
barsPerDay = timeframe.isintraday ?
24 * 60 / math.max(1, (timeframe.in_seconds() / 60)) :
timeframe.isdaily ? 1 :
timeframe.isweekly ? 1/7 :
timeframe.ismonthly ? 1/30 : 0.01
🔶 Visual Representation
The system presents performance data in a color-coded table with intuitive visual indicators:
Green: Excellent performance
Lime: Good performance
Gray: Neutral performance
Orange: Mediocre performance
Red: Poor performance
█ Trade Direction
The Strategy Stats framework supports three trading directions:
Long Only: Only takes long positions when entry conditions are met
Short Only: Only takes short positions when entry conditions are met
Both: Takes both long and short positions depending on market conditions
█ Usage
To effectively use the Strategy Stats framework:
Apply to existing strategies: Add the performance tracking code to any strategy to gain advanced analytics
Monitor multiple timeframes: Use the multi-timeframe analysis to identify performance trends
Evaluate strategy health: Review IC and Sortino ratios to assess predictive power and risk-adjusted returns
Optimize parameters: Use performance data to refine strategy parameters
Compare strategies: Apply the framework to multiple strategies to identify the most effective approach
For best results, allow the strategy to generate sufficient trade history for meaningful statistical analysis (at least 20-30 trades).
█ Default Settings
The default settings have been carefully calibrated for cryptocurrency markets:
Performance Tracking:
Time periods: 7D, 30D, 90D, 1Y, 4Y
Statistical measures: Return, Win%, MaxDD, IC, Sortino Ratio
IC color thresholds: >0.3 (green), >0.1 (lime), <-0.1 (orange), <-0.3 (red)
Sortino color thresholds: >1.0 (green), >0.5 (lime), <0 (red)
Multi-Step Take Profit:
ATR multipliers: 2.618, 5.0, 10.0
Percentage levels: 3%, 8%, 17%
Short multiplier: 1.5x (makes short take profits more aggressive)
Stop loss: 20%
Skybull - TimeRay AnalyzerSkybull - TimeLine Analyzer
Unlock multi-timeframe mastery with TimeLine Analyzer, a premium indicator that projects High, Low, and Close levels from a higher timeframe as customizable horizontal rays—enhanced with a dynamic offset and real-time price proximity alerts. Designed for traders who demand precision, this tool bridges short-term action with long-term context, helping you spot key levels and act when it matters most.
What Makes It Unique?
TimeLine Analyzer isn’t just another level-plotter—it’s a dual-purpose powerhouse. The Dynamic Offset lets you rewind higher timeframe data (e.g., fetch the 4h High from 3 bars ago), revealing historical zones that shape today’s price. Paired with Price Proximity Alerts, it flags when the current price nears these levels within a custom percentage—think instant support/resistance signals. No free script combines this flexibility and live feedback.
How It Works
Using Pine Script, TimeLine fetches High, Low, and Close from your chosen higher timeframe, offset by a user-defined number of bars. These are drawn as rays with adjustable colors, widths, and extensions (None, Right, Both). The proximity alert calculates the percentage distance between the current price and each level, popping up labels when price gets close (e.g., within 0.5%). A sleek label shows your settings, keeping it mobile-friendly and clutter-free.
Features
Higher Timeframe Rays: Plots High, Low, and Close from any timeframe (1m to 1mo).
Dynamic Offset: Shift levels back 1–100 bars in the higher timeframe for historical insight.
Price Alerts: Flags when price is within 0.1–5% of a level, with live labels.
Customizable: Set ray colors, widths (1–10), and extensions to match your style.
Mobile-Ready: A compact label displays timeframe and offset.
Usage Examples
Breakout Prep: On a 15m chart, set a 1d timeframe with a 2-bar offset to see yesterday’s Close—get alerted when price nears it for a breakout.
Reversal Zones: Use a 4h timeframe with “Both” extension and a 0.5% alert threshold to catch reversals at historical Lows.
Scalping Edge: Bold rays (width 3) and a 1h offset on a 5m chart highlight key levels, with alerts for fast entries.
Settings
Higher Timeframe: Pick your timeframe (e.g., 4h, 1d).
Bars Back: Offset data 1–100 bars (default: 1).
Price Proximity Alert (%): Set 0.1–5% for alert sensitivity (default: 0.5).
Line Colors: Customize High, Low, and Close rays.
Line Width: Adjust thickness (1–10, default: 1).
Line Extension: None, Right, or Both.
Why It’s Worth It
TimeLine Analyzer delivers what free tools can’t: historical depth plus real-time precision. The offset uncovers hidden levels, while alerts turn static lines into live signals—perfect for scalpers, swing traders, and strategists. As an invite-only tool, it’s built for serious traders who want an edge without the noise.
Highlight Time of InterestEST Time Period Background Indicator
This TradingView indicator visually highlights up to four custom-defined time periods on your chart using distinct background colors.
Key Features:
Custom Time Periods: Define up to four separate time intervals with individual start and end times, perfect for emphasizing key trading sessions or events.
Automatic Time zone Conversion: Automatically calculates the offset between the broker’s time zone and New York time (EST) so that your periods are correctly aligned with the Eastern market hours.
Visual Clarity:*Each period can be assigned a unique background color, providing clear visual cues directly on your chart for easier analysis and decision-making.
This indicator is ideal for traders who need a clear, automated visual reference for specific trading sessions or periods, streamlining the analysis process by highlighting critical timeframes directly on the chart.
RSI Pro+ (Bear market, financial crisis and so on EditionIn markets defined by volatility, fear, and uncertainty – the battlegrounds of bear markets and financial crises – you need tools forged in resilience. Introducing RSI Pro+, a strategy built upon a legendary indicator born in 1978, yet engineered with modern visual clarity to remain devastatingly effective even in the chaotic financial landscapes of 3078.
This isn't about complex algorithms predicting the unpredictable. It's about harnessing the raw, time-tested power of the Relative Strength Index (RSI) to identify potential exhaustion points and capitalize on oversold conditions. RSI Pro+ cuts through the noise, providing clear, actionable signals when markets might be poised for a relief bounce or reversal.
Core Technology (The 1978 Engine):
RSI Crossover Entry: The strategy initiates a LONG position when the RSI (default period 11) crosses above a user-defined low threshold (default 30). This classic technique aims to enter when selling pressure may be waning, offering potential entry points during sharp downturns or periods of consolidation after a fall.
Modern Enhancements (The 3078 Cockpit):
RSI Pro+ isn't just about the signal; it's about providing a professional-grade visual experience directly on your chart:
Entry Bar Highlight: A subtle background flash on the chart signals the exact bar where the RSI crossover condition is met, alerting you to potential entry opportunities.
Trade Bar Coloring: Once a trade is active, the price bars are subtly colored, giving you immediate visual confirmation that the strategy is live in the market.
Entry Price Line: A clear, persistent line marks your exact average entry price for the duration of the trade, serving as a crucial visual anchor.
Take Profit Line: Your calculated Take Profit target is plotted as a distinct line, keeping your objective clearly in sight.
Custom Entry Marker: A precise shape (▲) appears below the bar where the trade entry was actually executed, pinpointing the start of the position.
On-Chart Info Table (HUD): A clean, customizable Heads-Up Display appears when a trade is active, showing vital information at a glance:
Entry Price: Your position's average cost basis.
TP Target: The calculated price level for your Take Profit exit.
Current PnL%: Real-time Profit/Loss percentage for the open trade.
Full Customization: Nearly every aspect is configurable via the settings menu:
RSI Period & Crossover Level
Take Profit Percentage
Toggle ALL visual enhancements on/off individually
Position the Info Table wherever you prefer on the chart.
How to Use RSI Pro+:
Add to Chart: Apply the "RSI Pro+ (Bear market...)" strategy to your TradingView chart. Ensure any previous versions are removed.
Access Settings: Click the cogwheel icon (⚙️) next to the strategy name on your chart.
Configure Inputs (Crucial Step):
RSI Crossover Level: This is key. The default (30) targets standard oversold conditions. In severe downturns, you might experiment with lower levels (e.g., 25, 20) or higher ones (e.g., 40) depending on the asset and timeframe. Observe where RSI(11) typically bottoms out on your chart.
Take Profit Percentage (%): Define your desired profit target per trade (e.g., enter 0.5 for 0.5%, 1.0 for 1%). The default is a very small 0.11%.
RSI Period: While default is 11, you can adjust this (e.g., the standard 14).
Visual Enhancements: Enable or disable the visual features (background highlights, bar coloring, lines, markers, table) according to your preference using the checkboxes. Adjust table position.
Observe & Backtest: Watch how the strategy behaves on your chosen asset and timeframe. Use TradingView's Strategy Tester to analyze historical performance based on your settings. No strategy works perfectly everywhere; testing is essential.
Important Considerations:
Risk Management: This specific script version focuses on a Take Profit exit. It does not include an explicit Stop Loss. You MUST manage risk through appropriate position sizing, potentially adding a Stop Loss manually, or by modifying the script.
Oversold ≠ Reversal: An RSI crossover is an indicator of potential exhaustion, not a guarantee of a price reversal.
Fixed TP: A fixed percentage TP ensures small wins but may exit before larger potential moves.
Backtesting Limitations: Past performance does not guarantee future results.
RSI Pro+ strips away complexity to focus on a robust, time-honored principle, enhanced with modern visuals for the discerning trader navigating today's (and tomorrow's) challenging markets
Combined SMA Cross & RSI Multi-Timeframe Indicator K2Combined SMA Cross & RSI Multi-Timeframe Indicator
This Pine Script v6 indicator combines two popular technical analysis tools—Simple Moving Average (SMA) crossover and Relative Strength Index (RSI) crossover—across multiple timeframes to generate bullish and bearish trading signals. It overlays SMA lines on the chart, displays signals with shapes, and provides a table summarizing SMA crossover states across 11 timeframes.
Features:
SMA Crossover:
Compares a short SMA (default: 20 periods) with a long SMA (default: 50 periods).
Bullish signal: Short SMA crosses above Long SMA.
Bearish signal: Short SMA crosses below Long SMA.
Plotted as green (short) and red (long) lines on the chart.
RSI Crossover:
Calculates RSI (default: 14 periods) and its SMA (default: 14 periods).
Bullish signal: RSI crosses above its SMA.
Bearish signal: RSI crosses below its SMA.
Multi-Timeframe Analysis:
Evaluates SMA and RSI conditions across 11 timeframes: 1M, 5M, 15M, 30M, 1H, 2H, 4H, 8H, 12H, 1D, 1W.
User can toggle which timeframes to include via input settings.
Combined Logic:
Generates a signal only when both SMA and RSI conditions (if enabled) are met across all selected timeframes.
Bullish: All selected timeframes show bullish SMA and RSI crossovers.
Bearish: All selected timeframes show bearish SMA and RSI crossovers.
Logic toggles allow enabling/disabling SMA or RSI components.
Visuals:
Triangles: Green triangle below bar for bullish signals, red triangle above bar for bearish signals.
Arrows: Green upward arrow for "Long" signals, red downward arrow for "Short" signals, ensuring no overlap with previous signals.
Table: Displays SMA crossover states for all 11 timeframes at the bottom center of the chart (green for bullish, red for bearish).
Alerts:
Triggers alerts for combined bullish ("SMA Cross and RSI timeframes are bullish!") and bearish ("SMA Cross and RSI timeframes are bearish!") signals.
Inputs:
SMA Settings: Short SMA length (20), Long SMA length (50).
RSI Settings: RSI length (14), RSI SMA length (14).
Logic Toggles: Enable/disable SMA Cross and RSI logic.
Timeframe Toggles: Enable/disable each of the 11 timeframes.
Usage:
Add the indicator to your chart and adjust inputs as needed.
Use the signals for trend confirmation or entry/exit points, combining multi-timeframe SMA and RSI analysis.
Monitor the table to assess alignment across timeframes.
Notes:
Designed for TradingView with Pine Script v6.
Signals are confirmed on closed bars (barstate.isconfirmed) to avoid repainting.
Ideal for traders seeking a multi-timeframe confirmation tool.
Этот индикатор Pine Script v6 объединяет два популярных инструмента технического анализа — кроссовер Simple Moving Average (SMA) и кроссовер Relative Strength Index (RSI) — на нескольких таймфреймах для генерации бычьих и медвежьих торговых сигналов. Он накладывает линии SMA на график, отображает сигналы с помощью фигур и предоставляет таблицу, обобщающую состояния пересечения SMA на 11 таймфреймах.
Функции:
Кроссовер SMA :
Сравнивает короткую SMA (по умолчанию: 20 периодов) с длинной SMA (по умолчанию: 50 периодов).
Бычий сигнал: короткая SMA пересекает длинную SMA сверху вниз.
Медвежий сигнал: короткая SMA пересекает длинную SMA снизу вверх.
На графике это обозначено зеленой (короткой) и красной (длинной) линиями.
Кроссовер RSI :
Рассчитывает RSI (по умолчанию: 14 периодов) и его SMA (по умолчанию: 14 периодов).
Бычий сигнал: RSI пересекает SMA выше.
Медвежий сигнал: RSI пересекает SMA ниже.
Анализ нескольких таймфреймов :
Оценивает состояния SMA и RSI на 11 таймфреймах: 1M, 5M, 15M, 30M, 1H, 2H, 4H, 8H, 12H, 1D, 1W.
Пользователь может переключать включаемые временные интервалы с помощью настроек ввода.
Комбинированная логика :
Генерирует сигнал только тогда, когда выполняются оба условия SMA и RSI (если они включены) на всех выбранных таймфреймах.
Бычий: все выбранные таймфреймы показывают бычьи пересечения SMA и RSI.
Медвежий: все выбранные таймфреймы показывают медвежьи пересечения SMA и RSI.
Логические переключатели позволяют включать/отключать компоненты SMA или RSI.
Визуальные эффекты :
Треугольники : зеленый треугольник под полосой — бычьи сигналы, красный треугольник над полосой — медвежьи сигналы.
Стрелки : зеленая стрелка вверх для «длинных» сигналов, красная стрелка вниз для «коротких» сигналов, что гарантирует отсутствие наложения с предыдущими сигналами.
Таблица : отображает состояния пересечения SMA для всех 11 таймфреймов в нижней центральной части графика (зеленый для бычьего тренда, красный для медвежьего).
Оповещения :
Запускает оповещения для комбинированных бычьих («Таймфреймы SMA Cross и RSI являются бычьими!») и медвежьих («Таймфреймы SMA Cross и RSI являются медвежьими!») сигналов.
Входные данные:
Настройки SMA : короткая длина SMA (20), длинная длина SMA (50).
Настройки RSI : длина RSI (14), длина RSI SMA (14).
Переключатели логики : включение/выключение логики SMA Cross и RSI.
Переключение таймфреймов : включение/отключение каждого из 11 таймфреймов.
Использование:
Добавьте индикатор на свой график и при необходимости скорректируйте входные данные.
Используйте сигналы для подтверждения тренда или точек входа/выхода, комбинируя многовременной анализ SMA и RSI.
Следите за таблицей, чтобы оценить согласованность по всем временным интервалам.
Примечания:
Разработано для TradingView с использованием Pine Script v6.
Сигналы подтверждаются на закрытых барах ( barstate.isconfirmed ), чтобы избежать перерисовки.
Идеально подходит для трейдеров, которым нужен инструмент подтверждения с несколькими таймфреймами.
NBSG Mox-ZThe Mox-Z provides a visual representation of momentum and trend strength, enhanced with statistical bands to identify significant levels based on prior momentum.
What It Does
The indicator calculates the Mox-Z value as (EMA12(close) - EMA26(close)) - EMA9(EMA12(close) - EMA26(close))) * 3 using the higher timeframe's closing prices. This value is plotted as a histogram, with colors indicating its position relative to zero and Z-score bands:
Bright Green: Above +0.7 SD (strong bullish momentum).
Bright Red: Below -0.7 SD (strong bearish momentum).
Dark Green: Above zero but below +0.7 SD (moderate bullish momentum).
Dark Red: Below zero but above -0.7 SD (moderate bearish momentum).
Z-score bands are computed over a 200-period lookback on the higher timeframe, using a 0.7 multiplier on the standard deviation, offering a statistical context for the histogram's values.
How to Use It
Use the histogram to gauge momentum shifts on the selected higher timeframe (e.g., weekly momentum on a daily chart).
Bright colors (green/red) suggest potential overextension or strong trend continuation, useful for timing entries or exits.
Dark colors indicate moderate momentum, often signaling consolidation or early trend development.
The ±0.7 SD bands (gray lines) highlight statistically significant levels, aiding in identifying extremes relative to the past 200 periods of the chosen timeframe.
Originality and Purpose
Unlike standard MACD histograms, this script replicates the Mox-Z Indicator's unique scaling (*3 multiplier) and applies it strictly to higher timeframe data, avoiding current timeframe bias. The addition of Z-score bands provides a statistical edge, making it distinct from typical momentum indicators while maintaining simplicity for practical trading.
Settings
Higher Timeframe: Default is "1W" (weekly), but adjust to any timeframe higher than your chart (e.g., "1D" for daily, "1M" for monthly).
This indicator is ideal for traders seeking a higher timeframe momentum perspective with clear visual cues, without relying on complex multi-indicator setups.
RSI Multi-Timeframe K2Indicator Name: RSI Multi-Timeframe Cross Indicator
Overview:
"RSI Multi-Timeframe Cross Indicator" is a versatile Pine Script (v5) tool developed for TradingView, designed for traders using multi-time frame analysis. It monitors the Relative Strength Index (RSI) cross its Simple Moving Average (SMA) on multiple time frames (1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 4-hour and daily) to identify bullish and bearish conditions. The indicator overlays the signals on the chart and provides a customizable table to visualize the time frame conditions.
Key Features:
RSI Crossover Detection:
Monitors when the RSI crosses above (bullish trend) or below (bearish trend) its SMA on each selected time frame.
Uses constant state tracking to maintain a bullish/bearish state until an opposite crossover occurs.
Configurable Parameters:
RSI Length: Configurable period for calculating RSI (default: 14).
MA Length: Configurable period for SMA applied to RSI (default: 20).
Time Frame Controls:
Logical Switches: Independent switches ( use1m , use5m , etc.) to include/exclude each time frame in the signal logic.
Visualization Switches: Separate switches ( show1m , show5m , etc.) to show/hide each time frame in the table without affecting the logic.
Visuals:
Triangles: Green ascending triangles below the bars indicate bullish signals, red descending triangles above the bars indicate bearish signals.
Labels : Long (green) or Short (red) labels on the last confirmed bar when all enabled timeframes match.
Dynamic Table : A centered table at the bottom of the chart displaying the status of each timeframe with colored boxes (green for bullish, red for bearish). The table size is adjustable based on the visible timeframes.
Alerts :
Trigger alerts when all enabled timeframes are bullish ("All RSI timeframes are bullish (green)!") or bearish ("All RSI timeframes are bearish (red)!").
Input Parameters:
RSI Settings :
RSI Length : Integer (min: 1, default: 14) — Period for RSI calculation.
MA Length : Integer (min: 1, default: 20) — Period for SMA RSI.
Timeframe Logic Settings:
Use 1M in Logic, Use 5M in Logic, etc.: Boolean (default: true) - Enable/Disable each timeframe in signal calculation.
Timeframe Visualization Settings:
Show 1M in Table, Show 5M in Table, etc.: Boolean (default: true) - Show/Hide each timeframe in the table display.
Logic:
Bullish Condition: RSI crosses above SMA on a given timeframe, setting a bullish condition until a bearish crossover occurs.
Bearish Condition: RSI crosses below SMA on a given timeframe, setting a bearish condition until a bullish crossover occurs.
Combination signal: A Long or Short signal is generated only when all enabled timeframes (use the * switches) line up in the same direction (bullish or bearish).
Visualization: The table displays the status of each timeframe, but only shows the fields for the timeframes with the Show* switch enabled.
Visual output:
Chart signals:
A green ascending triangle and a Long label when all enabled timeframes are bullish.
A red downward-pointing triangle and a Short label when all enabled timeframes are bearish.
Table:
Located in the lower center of the chart.
The bars dynamically adjust to the number of visible timeframes (1 to 7).
Each cell displays the time frame name (e.g. "1M", "5M") with a background color indicating its status (green for bullish, red for bearish).
Use:
Trend Confirmation: Used to confirm trends across multiple time frames based on RSI behavior.
Configure: Customize RSI and MA lengths to suit your trading strategy, and turn time frames on/off for both logic and visualization to focus on the relevant periods.
Alerts: Set up alerts to be notified when all selected time frames match, useful for automated trading systems or manual monitoring.
Notes:
The indicator does not display RSI or SMA lines directly on the chart, focusing instead on crossover events and signals.
If all visualization toggles are disabled, the table disappears, but signals and alerts continue to function based on the logic toggles.
Compatible with any chart timeframe, data from later timeframes is retrieved using request.security() .
Stoch RSI Multi-Timeframe Cross Indicator
Stoch RSI Multi-Timeframe Cross Indicator
Overview
This Pine Script v6 indicator is designed to monitor Stochastic RSI crossovers across multiple timeframes (1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, and daily) and provide visual and alert-based signals for trading decisions. It overlays on the chart, displaying:
A table showing the bullish (green) or bearish (red) state of each timeframe.
Triangles and labels ("Long" or "Short") to indicate entry points when all enabled timeframes align in a bullish or bearish direction.
Alerts for when all enabled timeframes turn bullish or bearish.
The indicator tracks crossovers between the Stochastic RSI %K and %D lines, persisting the state (bullish or bearish) until the next crossover occurs, mimicking the behavior of the original RSI-based script but adapted for Stochastic RSI.
Inputs
RSI Length (rsiLength): Length of the RSI calculation (default: 14).
Stochastic Length (stochLength): Lookback period for the Stochastic RSI calculation (default: 14).
Smooth K (smoothK): Smoothing period for the %K line (default: 3).
Smooth D (smoothD): Smoothing period for the %D line (default: 3).
Use in Logic (use1m, use5m, etc.): Boolean toggles to include or exclude each timeframe (1M, 5M, 15M, 30M, 1H, 4H, 1D) in the entry signal logic (default: all true).
Timeframes
The indicator monitors the following timeframes, defined as strings compatible with Pine Script v6:
1-minute ("1")
5-minute ("5")
15-minute ("15")
30-minute ("30")
1-hour ("60")
4-hour ("240")
Daily ("D")
Core Logic
Stochastic RSI Calculation:
For each timeframe, the indicator:
Computes RSI using ta.rsi(close, rsiLength).
Applies the stochastic formula to RSI with ta.stoch(rsi, rsi, rsi, stochLength) to get the raw Stochastic RSI.
Smooths the result with ta.sma() to calculate %K (using smoothK) and %D (using smoothD).
This is done within a stochRsiState function, which is called via request.security() to ensure calculations align with each timeframe’s data.
Crossover Detection:
Detects crossovers using ta.crossover(k, d) (bullish) and ta.crossunder(k, d) (bearish).
Maintains a persistent state (var bool isBullish) for each timeframe, updated only when a crossover occurs:
true (bullish) when %K crosses above %D.
false (bearish) when %K crosses below %D.
Multi-Timeframe States:
Each timeframe’s %K, %D, and isBullish state is fetched independently using request.security(), ensuring accurate crossover detection regardless of the chart’s timeframe.
Visual Outputs
Table:
A static table in the bottom-left corner displays the state of each timeframe:
Columns: "1M", "5M", "15M", "30M", "1H", "4H", "1D".
Background color: Green (color.green) for bullish, Red (color.red) for bearish.
Updates on the last confirmed bar (barstate.islast).
Triangles:
Green upward triangle below the bar when all enabled timeframes are bullish (allBullish).
Red downward triangle above the bar when all enabled timeframes are bearish (allBearish).
Labels:
"Long" label (green) below the bar when allBullish is true.
"Short" label (red) below the bar when allBearish is true.
Displayed only on the last confirmed historical bar (barstate.islastconfirmedhistory).
Alerts
All Timeframes Bullish: Triggers when all enabled timeframes are bullish, with the message: "All Stoch RSI timeframes are bullish (green)!"
All Timeframes Bearish: Triggers when all enabled timeframes are bearish, with the message: "All Stoch RSI timeframes are bearish (red)!"
Conditions for Signals
Bullish Condition (allBullish):
True when all enabled timeframes (use1m ? isBullish1m : true, etc.) are bullish, and at least one timeframe is enabled.
Bearish Condition (allBearish):
True when all enabled timeframes are bearish, and at least one timeframe is enabled.
Disabled timeframes are treated as neutral (always true) in the logic, ensuring they don’t block signals.
Usage
Add the indicator to your TradingView chart.
Adjust input parameters (e.g., rsiLength, stochLength, smoothK, smoothD) to match your trading strategy.
Enable/disable timeframes via the input settings to focus on specific ones.
Watch the table for individual timeframe states and the chart for entry signals ("Long"/"Short") when all enabled timeframes align.
Set up alerts to be notified of full alignment.
Notes
The indicator is designed to persist the crossover state until the next crossover, similar to the original RSI-based script, ensuring stability across chart timeframe switches.
It uses request.security() to fetch data, making it robust for multi-timeframe analysis, though performance may depend on the chart’s data availability.
Stoch RSI Multi-Timeframe Cross Индикатор
Обзор
Этот индикатор Pine Script v6 предназначен для мониторинга пересечений Stochastic RSI на нескольких таймфреймах (1-минутный, 5-минутный, 15-минутный, 30-минутный, 1-часовой, 4-часовой и дневной) и предоставления визуальных и основанных на оповещениях сигналов для принятия торговых решений. Он накладывается на график, отображая:
Таблица, показывающая бычье (зеленый) или медвежье (красный) состояние каждого таймфрейма.
Треугольники и метки («Длинный» или «Короткий») для обозначения точек входа, когда все включенные таймфреймы совпадают в бычьем или медвежьем направлении.
Оповещения о том, когда все включенные таймфреймы становятся бычьими или медвежьими.
Индикатор отслеживает пересечения линий %K и %D стохастического RSI , сохраняя состояние (бычье или медвежье) до тех пор, пока не произойдет следующее пересечение, имитируя поведение исходного скрипта на основе RSI, но адаптированного для стохастического RSI.
Входы
Длина RSI ( rsiLength ): длина расчета RSI (по умолчанию: 14).
Длина стохастика ( stochLength ): период ретроспективного анализа для расчета стохастического RSI (по умолчанию: 14).
Сглаживание K ( smoothK ): период сглаживания для линии %K (по умолчанию: 3).
Smooth D ( smoothD ): период сглаживания для линии %D (по умолчанию: 3).
Использовать в логике ( use1m , use5m и т. д.): логические переключатели для включения или исключения каждого таймфрейма (1M, 5M, 15M, 30M, 1H, 4H, 1D) в логику входного сигнала (по умолчанию: все true).
Временные рамки
Индикатор отслеживает следующие таймфреймы, определенные как строки, совместимые с Pine Script v6:
1 минута ( "1" )
5-минутный ( "5" )
15-минутный ( "15" )
30-минутный ( "30" )
1 час ( "60" )
4-часовой ( "240" )
Ежедневно ( "Д" )
Основная логика
Расчет стохастического RSI :
Для каждого таймфрейма индикатор:
Вычисляет RSI с помощью ta.rsi(close, rsiLength) .
Применяет стохастическую формулу к RSI с ta.stoch(rsi, rsi, rsi, stochLength) для получения необработанного стохастического RSI.
Сглаживает результат с помощью ta.sma() для вычисления %K (используя smoothK ) и %D (используя smoothD ).
Это делается в функции stochRsiState , которая вызывается через request.security(), чтобы гарантировать соответствие расчетов данным каждого таймфрейма.
Обнаружение кроссовера :
Обнаруживает пересечения с помощью ta.crossover(k, d) (бычий) и ta.crossunder(k, d) (медвежий).
Поддерживает постоянное состояние ( var bool isBullish ) для каждого таймфрейма, обновляется только при возникновении пересечения:
истина (бычий тренд), когда %K пересекает %D снизу вверх .
ложно (медвежье), когда %K пересекает %D снизу .
Состояния с несколькими таймфреймами :
Состояние %K , %D и isBullish каждого таймфрейма извлекается независимо с помощью request.security() , что обеспечивает точное обнаружение пересечений независимо от таймфрейма графика.
Визуальные результаты
Стол :
Статическая таблица в нижнем левом углу отображает состояние каждого таймфрейма:
Столбцы: «1M», «5M», «15M», «30M», «1H», «4H», «1D».
Цвет фона: зеленый ( color.green ) для бычьего тренда, красный ( color.red ) для медвежьего тренда.
Обновления по последнему подтвержденному бару ( barstate.islast ).
Треугольники :
Зеленый восходящий треугольник под полосой, когда все включенные таймфреймы являются бычьими ( allBullish ).
Красный нисходящий треугольник над баром, когда все включенные таймфреймы медвежьи ( allBearish ).
Метки :
Метка «Длинная» (зеленая) под полосой, когда allBullish имеет значение true.
Метка «Короткая» (красная) под полосой, когда allBearish имеет значение true.
Отображается только на последнем подтвержденном историческом баре ( barstate.islastconfirmedhistory ).
Оповещения
Все таймфреймы бычьи : срабатывает, когда все включенные таймфреймы бычьи, с сообщением: «Все таймфреймы Stoch RSI бычьи (зеленые)!»
Все таймфреймы медвежьи : срабатывает, когда все включенные таймфреймы медвежьи, с сообщением: «Все таймфреймы Stoch RSI медвежьи (красные)!»
Условия для сигналов
Бычье состояние ( всеБычье ) :
Истинно, когда все включенные таймфреймы ( use1m ? isBullish1m : true и т. д.) являются бычьими и включен хотя бы один таймфрейм.
Медвежьи условия ( всемедвежьи ) :
Истинно, когда все включенные таймфреймы являются медвежьими и включен хотя бы один таймфрейм.
Отключенные таймфреймы рассматриваются в логике как нейтральные (всегда истинные ), что гарантирует, что они не блокируют сигналы.
Использование
Добавьте индикатор на свой график TradingView.
Отрегулируйте входные параметры (например, rsiLength , stochLength , smoothK , smoothD ) в соответствии с вашей торговой стратегией.
Включите/отключите таймфреймы с помощью настроек ввода, чтобы сосредоточиться на определенных из них.
Следите за таблицей для определения состояний отдельных таймфреймов и графиком для определения сигналов на вход («Длинный»/«Короткий»), когда все включенные таймфреймы совпадают.
Настройте оповещения, чтобы получать уведомления о полном выравнивании.
Примечания
Индикатор разработан таким образом, чтобы сохранять состояние пересечения до следующего пересечения, аналогично оригинальному скрипту на основе RSI, обеспечивая стабильность при переключении таймфреймов графика.
Для извлечения данных используется request.security() , что делает его надежным для многовременного анализа, хотя производительность может зависеть от доступности данных графика.
