المؤشرات والاستراتيجيات
ADX_RDADX_RD - Average Directional Index (Ryan DeBraal)
This script plots a refined version of the **ADX (Average Directional Index)**,
used to measure trend strength regardless of trend direction. It includes
custom smoothing, modified DM (Directional Movement) logic, dynamic coloring,
and a built-in 20-level threshold.
FEATURES
- Calculates +DI, –DI, and ADX using standard Wilder smoothing (RMA).
- Signal color turns **white** when ADX < 20 (low-trend or choppy conditions).
- Signal color turns **blue** when ADX >= 20 (trend strengthening).
- Horizontal dotted reference line at **20**, a widely used threshold:
ADX < 20 → weak or ranging market
ADX > 20 → strengthening trend
- Works on all timeframes, supports custom smoothing lengths.
PURPOSE
This indicator helps identify when a market is trending vs when it is flat.
It does not indicate direction by itself — only the strength of the move —
making it ideal for confirming breakout setups, trend-following entries,
and filtering out low-probability trades during chop.
ORB_RDORB_RD - Opening Range Box (Ryan DeBraal)
This indicator automatically draws a high/low box for the first portion of
each trading day, automatically stepping the range window from 15, 30, 45,
up to 60 minutes after the session starts. The box updates live as the range
forms, then optionally extends across the rest of the session.
FEATURES
-----------------------------------------------------------------------------
• Opening Range Detection
- Automatically ladders the range window: 0–15, 0–30, 0–45, 0–60 minutes
- Automatic reset at each new trading day
- Live high/low updates while inside the 0–60 minute window
• Auto-Drawing Range Box
- Draws a dynamic rectangle as the range forms
- Top and bottom update with every new high/low
- Extends sideways in real time during formation
- Optional full-day extension after the 60-minute range finalizes
• Customizable Visuals
- Adjustable fill transparency
- Mild green tint by default for clarity
PURPOSE
-----------------------------------------------------------------------------
This tool highlights the evolving opening range, a widely used intraday
reference for breakout traders, mean-reversion setups, and session structure
analysis. Ideal for:
• Identifying early support and resistance
• Framing breakout and pullback decisions
• Tracking intraday trend bias after the morning range
TREND_34EMA_RDTREND_34EMA_RD - Enhanced 34 EMA Trend Suite (Ryan DeBraal)
This indicator overlays a trend-adaptive 34 EMA along with optional ATR-based
volatility bands, trend-strength scoring, and crossover alerts. It is built
to give a clean, fast visual read on the current trend direction, volatility,
and momentum quality.
FEATURES
-----------------------------------------------------------------------------
• Core 34 EMA Trend Line
- Standard EMA calculation (default length 34)
- Aqua coloring for clean visibility
- Adjustable line thickness
• ATR-Based Volatility Bands
- Upper and lower bands derived from ATR
- Adjustable ATR length and multiplier
- Optional shaded channel for volatility visualization
- Helps identify trend stability and over-extension
• Trend Strength Score
- Measures slope of the EMA over a lookback window
- Normalizes slope using ATR for consistency across markets
- Outputs a 0–100 score
- Auto-updating label placed at the latest bar
• Gray for weak trend
• Orange for moderate trend
• Green for strong trend
• Optional Crossover Signals
- Detects when price crosses above or below the EMA
- Can display arrows on the chart
- Built-in alert conditions
PURPOSE
-----------------------------------------------------------------------------
This suite provides a clean, minimalistic way to monitor directional bias,
volatility, and trend quality. Ideal for:
• Identifying early trend shifts
• Confirming trend continuation
• Filtering trades based on trend strength
• Detecting over-extension using volatility bands
F5/F15 Breakout High and Low Mark by MDHi This scirpt will mark Previous day high and low and current day 5 Mint and 15 Mint according to your requirement it will mark and show you the Buy signal according to that
MACD_RDMACD_RD - Moving Average Convergence Divergence (Ryan DeBraal)
This indicator plots a standard MACD along with a color-adaptive histogram and
integrated momentum-shift alerts. It preserves the normal MACD structure while
improving visual clarity and signal recognition.
FEATURES
-----------------------------------------------------------------------------
• Standard MACD Calculation
- Fast MA (12 by default)
- Slow MA (26)
- Signal line (9)
- Choice between SMA/EMA for both MACD and Signal smoothing
• Color-Changing Histogram
- Green shades for positive momentum
- Red shades for negative momentum
- Lighter/darker tones depending on whether momentum is increasing or fading
- 50% opacity for improved readability
• Crossover-Based MACD Line Coloring
- MACD line turns green on bullish cross (MACD > Signal)
- MACD line turns red on bearish cross (MACD < Signal)
- Default blue when no crossover occurs
• Momentum-Shift Alerts
- Alerts when histogram flips direction
PURPOSE
-----------------------------------------------------------------------------
This MACD version emphasizes momentum shifts and trend transitions by
highlighting subtle histogram changes and providing clean crossover visuals.
Ideal for:
• Identifying early momentum reversals
• Filtering breakout/trend setups
• Confirming trend continuation vs exhaustion
New Age MACD █ NEW AGE MACD 🚀
It's 2025. We're still using indicators from the 90s... but who says they have to LOOK like the 90s? 😎
Traders deserve beautiful tools. Clean aesthetics. Modern vibes. Welcome to the New Age.
Based on CM_MacD_Ult_MTF by ChrisMoody - now reimagined with stunning neon visuals, dynamic glow effects, and an interface that actually looks good on your chart.
Same powerful MACD logic. Fresh new drip. ✨
█ FEATURES ✨
🔮 Neon Line Glow - MACD line glows dynamically based on trend
⚡ Multi-Timeframe - View any timeframe MACD on your current chart
🎯 4-Color Histogram - Gradient colors show momentum strength
🔀 Smart Fill - Beautiful fill between MACD & Signal
🔵 Cross Markers - Visual dots at bullish/bearish crossovers
📋 Elegant Dashboard - Real-time stats with cyan frame design
█ GLOW EFFECT ✨
The signature feature - a beautiful neon glow surrounding the MACD line:
💡 5 transparent layers create a smooth gradient glow
💡 Color follows trend direction automatically
💡 No chart scaling issues - glow follows the line perfectly
🟢 MACD > Signal → Cyan neon glow
🔴 MACD < Signal → Red neon glow
█ HISTOGRAM COLORS 📊
4 colors show momentum state at a glance:
| State | Color | Meaning |
|--------------------|---------------|----------------------|
| Above zero + rising | 🟢 Cyan bright | Strong bullish |
| Above zero + falling| 🟢 Cyan dim | Bullish but fading |
| Below zero + falling| 🔴 Red bright | Strong bearish |
| Below zero + rising | 🔴 Red dim | Bearish but recovering|
█ SIGNALS 🎯
🟢 Bull Cross → MACD crosses above Signal line
🔴 Bear Cross → MACD crosses below Signal line
🟢 Above Zero → MACD crosses above zero line
🔴 Below Zero → MACD crosses below zero line
█ SOURCE SETTINGS ⚙️
Choose the correct source for your chart type:
📊 NORMAL CANDLES:
Source: close (default)
✓ Standard closing price
✓ Most accurate readings
📊 HEIKIN ASHI CANDLES:
Source: ohlc4
✓ Formula: (Open + High + Low + Close) / 4
✓ Smoother MACD line
✓ Fewer false signals
💡 Quick Guide:
Normal Candles → close
Heikin Ashi → ohlc4
█ SETTINGS 🛠️
Timeframe:
⏰ Use Current Chart Resolution
🕐 Use Different Timeframe (MTF)
MACD Settings:
📈 Fast Length (default: 12)
📉 Slow Length (default: 26)
📊 Signal Length (default: 9)
Display Options:
📈 Show MACD & Signal Line
🔵 Show Dots at Cross
📊 Show Histogram
🔀 Show Fill Between MACD & Signal
✨ Show MACD Line Glow
🎨 MACD Color Change on Cross
🎨 Histogram 4 Colors
📋 Show Dashboard
█ DASHBOARD 📋
Elegant dark theme with cyan frame:
| Field | Description |
|-----------|------------------------------------|
| Value | Current MACD value |
| Signal | Signal line value |
| Histogram | MACD minus Signal |
| Zone | Strong Bull / Bullish / Bearish / Strong Bear |
| Trend | Bullish / Bearish |
| Momentum | Strong Up / Fading / Recovering / Strong Down |
| Signal | Current crossover status |
█ RECOMMENDED SETTINGS 📈
| Style | Chart | Source | Fast/Slow/Sig |
|------------------|-----------|--------|---------------|
| Scalping | Normal | close | 8 / 17 / 9 |
| Day Trading | Normal | close | 12 / 26 / 9 |
| Swing Trading | Heikin Ashi| ohlc4 | 12 / 26 / 9 |
| Position Trading | Heikin Ashi| ohlc4 | 19 / 39 / 9 |
█ ALERTS 🔔
🟢 MACD Bullish Cross
🔴 MACD Bearish Cross
🟢 MACD Above Zero
🔴 MACD Below Zero
█ USAGE TIPS 💡
📈 Quick Trend: Look at glow color for instant trend read
📊 Momentum: Watch histogram color transitions
🔍 Divergence: Compare price action with MACD peaks
⏰ Confluence: Use MTF for higher timeframe confirmation
█ COLOR SCHEME 🎨
| Element | Bullish | Bearish |
|------------|-----------|-----------|
| MACD Line | 🔵 Cyan | 🔴 Red |
| Glow | 🔵 Cyan | 🔴 Red |
| Histogram | 🔵 Cyan | 🔴 Red |
| Fill | 🔵 Cyan | 🔴 Red |
| Signal | ⚪ White | ⚪ White |
| Dashboard | 🔵 Cyan frame | 🔵 Cyan frame |
█ CREDITS 👏
Original concept: CM_MacD_Ult_MTF by ChrisMoody
Enhanced version: New Age MACD by RadisaBTC
If you find this indicator useful, please leave a 👍 and follow for more updates!
Because good trading deserves good design. 💎
Happy Trading! 🚀📈
Watchlist Volume Surge AlertOverview
This indicator is designed for traders who monitor large watchlists and need instant notification when a stock is experiencing unusual volume activity relative to its recent history.
Standard volume indicators often include the current day's volume in the average calculation. This causes a problem: if a stock is having a massive breakout, that high volume pulls the average up immediately, making it harder to hit the "relative" threshold.
This script solves that by comparing the current volume against the Simple Moving Average (SMA) of the previous n bars. This ensures a clean baseline and accurate alerts, even during massive volatility.
Key Features
Smart RVOL Calculation: Calculates Relative Volume (RVOL) based on the previous 30 bars (adjustable), ensuring the current breakout doesn't skew the average.
Visual Clarity:
Bars: Normal volume is transparent. Surge volume turns bright Teal (Bullish Close) or Red (Bearish Close).
Background: The indicator panel background highlights when a surge is active, making it impossible to miss when scanning visually.
Data Window: Displays the exact RVOL ratio (e.g., 2.11) in the Data Window for verification.
Watchlist Alert Optimized: Specifically designed to work with TradingView's "Any alert function call" or standard condition alerts across multiple tickers.
How to Set Up Alerts
This script is perfect for setting a single alert on a large watchlist to catch breakouts as they happen.
Add the indicator to your chart.
Go to the Alerts menu and create a new alert.
Condition: Select Watchlist Volume Surge Alert.
Trigger: Select "Once Per Bar".
Note: Using "Once Per Bar" ensures you are notified the moment the volume crosses the threshold during the trading day, rather than waiting for the market to close.
Message: The script includes a dynamic message: "Volume Surge! {{ticker}} volume is {{plot("RVOL Ratio")}}x the average."
Settings
Average Length (Days): The lookback period for the volume average (Default: 30).
Alert Threshold (x Average): The multiple required to trigger an alert (Default: 1.5x).
Note: This works better when you have a watchlist with similar volatility and/or market cap
Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key LevelsDescription
This indicator combines several commonly used technical analysis tools into a single script, especially useful for traders using the free version of TradingView or anyone looking to reduce the number of indicators on their chart.
The goal is to provide clear visual references for trend, structure, and key levels—without generating buy/sell signals or automated trading functions.
Included Features
1. VWAP (session-anchored)
Source: HLC3
Purple line, thickness 2
Useful as a reference for daily institutional average price.
2. EMAs of the current timeframe
EMA 200 (red, thickness 3)
EMA 9 (green, thickness 1)
These EMAs help visualize long-term trend and short-term momentum.
3. Dynamic EMAs (MTF – Multi-Timeframe)
The indicator displays the 200 EMA from higher timeframes as dynamic horizontal levels:
5 minutes
15 minutes
30 minutes
1 hour
4 hours
1 day
Each level includes a descriptive label such as “15 min EMA 200”.
These EMAs serve as reference points for potential support/resistance areas coming from higher timeframes.
4. Automatic Key Levels
The indicator plots several important price levels:
Previous day:
PDH (Previous Day High)
PDL (Previous Day Low)
Previous Day 50% Fibonacci level
Pre-market (04:00–09:30 exchange time):
PMH (Pre-Market High)
PML (Pre-Market Low)
Current session:
Open (session opening price)
Previous Close (prior day’s closing price)
Purpose and Scope
This script is designed to provide basic visual reference points to support discretionary analysis.
It does not generate signals or trading suggestions, and it is not intended to predict future price movements.
How to Use It
Enable or disable each block in the Inputs section according to your analysis style.
Observe how the levels, EMAs, and VWAP interact with market structure.
Use it as a visual complement to your personal technical analysis.
Limitations
This indicator is not a trading system and does not guarantee results.
It does not include alerts, backtesting, or entry/exit logic.
Some values (such as PMH/PML) depend on the symbol’s exchange trading hours.
Credits
Designed as an educational and analytical tool for traders seeking to simplify their charts without losing key information.
Price Channel Breakout Strategy — Long & ShortThis strategy is a dual-direction Price Channel breakout system designed for high-volatility indices such as US30, NAS100, and XAUUSD.
It enters long when price breaks above the highest high of the past N bars, and enters short when price breaks below the lowest low.
A key feature is the use of fixed dollar-based take-profit and stop-loss, making the strategy adaptive across symbols with different tick values.
Core Logic
Long entry when price breaks the N-bar high
Short entry when price breaks the N-bar low
Dollar-based TP and SL (converted to ticks automatically)
Suitable for trending and breakout-friendly markets
Backtest Notes (US30 Example)
Sharpe Ratio: 2.7
Profit Factor: 2.111
Total Return (12-month backtest): +46.89%
Max Drawdown: 0.26%
Trades: 3,666
This strategy performs well in sustained volatility environments and is particularly effective for intraday momentum bursts on US30.
Echo Chamber [theUltimator5]The Echo Chamber - When history repeats, maybe you should listen.
Ever had that eerie feeling you've seen this exact price action before? The Echo Chamber doesn't just give you déjà vu—it mathematically proves it, scales it, and projects what happened next.
📖 WHAT IT DOES
The Echo Chamber is an advanced pattern recognition tool that scans your chart's history to find segments that closely match your current price action. But here's where it gets interesting: it doesn't just find similar patterns - It expands and contracts the time window to create a uniquely scaled fractal. Patterns don't always follow the same timeframe, but they do follow similar patterns.
Using a custom correlation analysis algorithm combined with flexible time-scaling, this indicator:
Finds historical price segments that mirror your current market structure
Scales and overlays them perfectly onto your current chart
Projects forward what happened AFTER that historical match
Gives you a visual "echo" from the past with a glimpse into potential futures
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HOW TO USE IT
This indicator starts off in manual mode, which means that YOU, the user, can select the point in time that you want to project from. Simply click on a point in time to set the starting value.
Once you select your point in time, the indicator will automatically plot the chosen historical chart pattern and correlation over the current chart and project the price forwards based on how the chart looked in the past. If you want to change the point in time, you can update it from the settings, or drag the point on the chart over to a new position.
You can manually select any point in time, and the chart will quickly update with the new pattern. A correlation will be shown in a table alongside the date/timestamp of the selected point in time.
You can switch to auto mode, which will automatically search out the best-fit pattern over a defined lookback range and plot the past/future projection for you without having to manually select a point in time at all. It simply finds the best fit for you.
You can change the scale factor by adjusting multiplication and division variables to find time-scaled fractal patterns.
══════════════════════════════
🎯 KEY FEATURES
Two Operating Modes:
🔧 MANUAL MODE - Select any historical point and see how it correlates with current price action in real-time. Perfect for:
• Analyzing specific past events (crashes, rallies, consolidations)
• Testing historical patterns against current conditions
• Educational analysis of market structure repetition
🤖 AUTO MODE - It automatically scans through your lookback period to find the single best-correlated historical match. Ideal for:
• Quick pattern discovery
• Systematic trading approach
• Unbiased pattern recognition
Time Warp Technology:
The time warp feature expands and compresses the correlation window to provide a custom fractal so you can analyze windows of time that don't necessarily match the current chart.
💡 *Example: Multiplier=3, Divisor=2 gives you a 1.5x time stretch—perfect for finding patterns that played out 50% slower than current price action.*
Drawing Modes:
Scale Only : Pure vertical scaling—matches price range while maintaining temporal alignment at bar 0
Rotate & Scale : Advanced geometric transformation that anchors both the start AND end points, creating a rotated fit that matches your current segment's slope and range
Visual Components:
🟠 Orange Overlay : The historical match, perfectly scaled to your current price action
🟣 Purple Projection : What happened NEXT after that historical pattern (dotted line into the future)
📦 Highlight Boxes : Shows you exactly where in history these patterns came from
📊 Live Correlation Table : Real-time correlation coefficient with color-coded strength indicator
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⚙️ PARAMETERS EXPLAINED
Correlation Window Length (20) : How many bars to match. Smaller = more precise matches but noisier. Larger = broader patterns but fewer matches.
Note: if this value is too high in auto mode, the script may time out from computational overload.
Multiplication Factor : Historical time multiplier. 2 = sample every 2nd bar from history. Higher values find slower historical patterns.
Division Factor : Historical time divisor applied after multiplication. Final sample rate = (Length × Factor) ÷ Divisor, rounded down.
Lookback Range : How far back to search for patterns. More history = better chance of finding matches but slower performance.
Note: if this value is too high in auto mode, the script may time out from computational overload.
Future Projection Length : How many bars forward to project from the historical match. Your crystal ball's focal length.
══════════════════════════════
💼 TRADING APPLICATIONS
Trend Continuation/Reversal :
If the purple projection continues the current trend, that's your historical confirmation. If it reverses, you've found a potential turning point that's happened before under similar conditions.
Support/Resistance Validation :
Does the projection respect your S/R levels? History suggests those levels matter. Does it break through? You've found historical precedent for a breakout.
Time-Based Exits :
The projection shows not just WHERE price might go, but WHEN. Use it to anticipate timing of moves.
Multi-Timeframe Analysis :
Use time compression to overlay higher timeframe patterns onto lower timeframes. See daily patterns on hourly charts, weekly on daily, etc.
Pattern Education :
In Manual Mode, study how specific historical events correlate with current conditions. Build your pattern recognition library.
══════════════════════════════
📊 CORRELATION TABLE
The table shows your correlation coefficient as a percentage:
80-100%: Extremely strong correlation—history is practically repeating
60-80%: Strong correlation—significant similarity
40-60%: Moderate correlation—some structural similarity
20-40%: Weak correlation—limited similarity
0-20%: Very weak correlation—essentially random match
-20-40%: Weak inverse correlation
-40-60%: Moderate inverse correlation
-60-80%: Strong inverse correlation
-80-100%: Extremely strong inverse correlation—history is practically inverting
**Important**: The correlation measures SHAPE similarity, not price level. An 85% correlation means the price movements follow a very similar pattern, regardless of whether prices are higher or lower.
══════════════════════════════
⚠️ IMPORTANT DISCLAIMERS
- Past performance does NOT guarantee future results (but it sure is interesting to study)
- High correlation doesn't mean causation—markets are complex adaptive systems
- Use this as ONE tool in your analytical toolkit, not a standalone trading system
- The projection is what HAPPENED after a similar pattern in the past, not a prediction
- Always use proper risk management regardless of what the Echo Chamber suggests
══════════════════════════════
🎓 PRO TIPS
1. Start with Auto Mode to find high-correlation matches, then switch to Manual Mode to study why that period was similar
2. Experiment with time warping on different timeframes—a 2x factor on a daily chart lets you see weekly patterns
3. Watch for correlation decay —if correlation drops sharply after the match, current conditions are diverging from history
4. Combine with volume —check if volume patterns also match
5. Use "Rotate & Scale" mode when the current trend angle differs from the historical match
6. Increase lookback range to 500-1000+ on daily/weekly charts for finding rare historical parallels
══════════════════════════════
🔧 TECHNICAL NOTES
- Uses Pearson correlation coefficient for pattern matching
- Implements range-based scaling to normalize different price levels
- Rotation mode uses linear interpolation for geometric transformation
- All calculations are performed on close prices
- Boxes highlight actual historical bar ranges (high/low)
- Maximum of 500 lines and 500 boxes for performance optimization
SUPER TREND + RSI FILTER PRO@version=5
indicator("SUPER TREND + RSI FILTER PRO", overlay=true, timeframe="", timeframe_gaps=true)
//---------------------------
// INPUTS
//---------------------------
factor = input.float(3.0, "SuperTrend Factor")
atr_len = input.int(10, "ATR Length")
rsi_len = input.int(14, "RSI Length")
rsi_buy = input.int(50, "RSI Buy Level")
rsi_sell = input.int(50, "RSI Sell Level")
//---------------------------
// SUPERTREND CALCULATION
//---------------------------
atr = ta.atr(atr_len)
upperBand = close + factor * atr
lowerBand = close - factor * atr
trend = 0.0
trend := close > nz(trend ) ? math.max(lowerBand, nz(trend )) : math.min(upperBand, nz(trend ))
// Coloration
bull = close > trend
bear = close < trend
//---------------------------
// RSI FILTER
//---------------------------
rsi = ta.rsi(close, rsi_len)
//---------------------------
// BUY & SELL SIGNALS
//---------------------------
buySignal = bull and rsi > rsi_buy and close > trend
sellSignal = bear and rsi < rsi_sell and close < trend
//---------------------------
// PLOT SUPERTREND
//---------------------------
plot(trend, color=bull ? color.green : color.red, linewidth=2, title="SuperTrend")
//---------------------------
// BUY / SELL MARKERS
//---------------------------
plotshape(buySignal, title="Buy", style=shape.labelup, color=color.green, size=size.small, text="BUY")
plotshape(sellSignal, title="Sell", style=shape.labeldown, color=color.red, size=size.small, text="SELL")
//---------------------------
// ALERTS
//---------------------------
alertcondition(buySignal, title="Buy Signal", message="BUY Signal - SuperTrend + RSI Filter")
alertcondition(sellSignal, title="Sell Signal", message="SELL Signal - SuperTrend + RSI Filter")
DIY ZP + Scalps: Multi-System Confirmation & Fast Scalping💡 Overview
This is an advanced, amalgamated trend-following and momentum indicator designed to provide dual-layer signals: a highly Confirmed (Low-Risk) Signal for swing/position trades, and a Fast Scalping Signal for high-frequency entries.
It combines the logic of a multi-indicator confirmation system (derived from "DIY ZP" concepts) with a sensitive momentum crossover system (derived from "Scalp Pro" concepts).
✨ Key Features
Dual-Signal Output: Separates signals into "CONFIRM" (high probability, slow) and "SP Buy/Sell" (high sensitivity, fast).
Multi-Confirmation Engine: The primary "CONFIRM" signals only fire when ALL enabled filtering criteria agree within a user-defined expiry window:
EMA 200 Filter (Trend Direction)
MACD Crossover (Momentum)
Supertrend (Volatility/Trend Structure)
Fast Scalp Pro Momentum: Uses a proprietary, low-latency, zero-lagged filter to generate rapid "SP Buy/Sell" signals for immediate execution.
Integrated Trend Lines: Plots EMA (200), MA (5, 13, 50), and Supertrend on the chart for visual context and trailing stops.
All-in-One Alerts: Features separate alertcondition() calls for Primary, Scalp Pro, and Supertrend Reversal events, making it easy to set up mobile notifications for specific trade styles.
⚙️ How to Use
Select Your Style: Use the input settings to enable/disable the primary filters (EMA, MACD, Supertrend) to customize the confirmation strictness.
CONFIRM LONG/SHORT (Primary Signal): Recommended for swing traders. These signals are delayed but offer higher probability as they satisfy all major trend and momentum conditions.
SP Buy/Sell (Scalp Pro Signal): Recommended for scalpers and day traders. Use this signal to enter early, but manage risk strictly (e.g., using a 1.0 ATR target to move to break-even immediately).
Risk Management: The integrated Supertrend line serves as an excellent dynamic trailing stop loss.
📝 Important Note
The indicator calculates internal momentum lines (Scalp Pro MACD/Signal) with high values to ensure accuracy. These lines are explicitly hidden (display.none) to prevent distortion of your main price chart's overlay.
,,,//@version=5
indicator(title='Moving Average Exponential', shorttitle='EMA', overlay=true, timeframe='')
len = input.int(6, minval=1, title='Length')
len1 = input.int(13, minval=1, title='Length')
len2 = input.int(24, minval=1, title='Length')
len3 = input.int(55, minval=1, title='Length')
src = input(close, title='Source')
offset = input.int(title='Offset', defval=0, minval=-500, maxval=500)
out = ta.ema(src, len)
out1 = ta.ema(src, len1)
out2 = ta.ema(src, len2)
out3 = ta.ema(src, len3)
plot(out, title='EMA', color=color.new(color.yellow, 0), offset=offset)
plot(out1, title='EMA1', color=color.new(color.blue, 0), offset=offset)
plot(out2, title='EMA2', color=color.new(color.red, 0), offset=offset)
plot(out3, title='EMA2', color=color.new(#19e82a, 0), offset=offset)
Market Internals Dashboard: Trend, Breadth, Volume PressureOverview
The Market Internals Dashboard Pro is a professional-grade toolkit modeled after what prop firms and institutional desks use to understand real intraday market conditions.
Instead of relying solely on price, this indicator analyzes three critical internal forces:
USI:TICK : Microstructure buying/selling pressure
USI:ADD : Market breadth participation (advancers vs decliners proxy)
USI:VOLD : Volume pressure (buying vs selling volume)
These internals determine whether the market is:
Trending or ranging
Bullish or bearish
Likely to follow through or mean-revert
Favoring continuation trades or fade setups
The script also produces a Market Environment Score (–3 to +3) and a real-time Trade Recommendation Table that updates every bar. This helps answer the single most important question in intraday trading: “What type of trades should I be taking right now given current market conditions?”
1. TICK Proxy: Microstructure Pressure
Measures buying vs. selling aggressiveness across the market This proxy simulates the NYSE TICK index by evaluating whether bars close above or below the prior bar.
Positive TICK → Buyers lifting offers
Negative TICK → Sellers hitting bids
Neutral TICK → No microstructure conviction
Why it matters:
Strong TICK is often the earliest sign of:
Trend initiation
Algorithmic buy/sell programs
Shifts in short‑term sentiment
Weak or choppy TICK often signals:
Range conditions
Failed breakouts
Low‑quality trend attempts
2. ADD Proxy: Market Breadth Strength
Shows how many stocks are participating in a move Because real USI:ADD data isn't available for all users, this script uses a self-contained breadth approximation built from:
Price slope
Volatility expansion
Volume‑weighted directional pressure
Why it matters? Breadth reveals whether the move is:
Broad and healthy → likely to continue
Narrow and weak → vulnerable to reversal
Strong trends require strong breadth. Weak breadth often precedes:
Failed breakouts
Reversal setups
Chop (ewww)
3. VOLD Proxy: Volume Pressure
The most important internal of all. This proxy measures whether trading volume is flowing into up bars or down bars.
Positive VOLD → Net buying pressure
Negative VOLD → Net selling pressure
Why it matters:
VOLD is considered the "truth serum" of the tape:
Strong VOLD drives trend days
Negative VOLD kills long setups
Mixed VOLD creates chop
You should rarely trend trade against VOLD.
4. Market Environment Score (–3 to +3)
The Environment Score combines the three internals into a single view:
|| Score || Interpretation || Market Type ||
| +3 | Strong Bull | Trend Day (Long) |
| +2 | Bull | Pullback Buys / Breakout Continuation |
| +1 | Mild Bull | Conservative Long Scalps |
| 0 | Neutral | CHOP – VWAP Reversions / Fades |
| -1 | Mild Bear | Short Failed Breakouts |
| -2 | Bear | Trend Shorts / Breakdown Continuation |
| -3 | Strong Bear | Trend Day (Short) |
Why it matters:
The market behaves differently depending on internal alignment. This score prevents traders from:
Forcing trend trades on chop days
Chasing breakouts when breadth is weak
Fading strong directional days
It tells you in real time whether conditions favor:
Trend following
Mean reversion
Breakout continuation
Liquidity grabs
Or sitting out
5. Trade Recommendation Engine
Based on the Environment Score, the indicator outputs a real-time playbook recommending which trade types have the highest probability of success right now.
Examples:
Score = 0 (Neutral)
VWAP Reversions
Liquidity Grabs
Failed Breakouts
Quick Scalps
Score = +2/+3 (Strong Bull)
Pullback Buys
Breakout Continuation
Trend Longs
Score = -2/-3 (Strong Bear)
Pullback Shorts
Breakdown Continuation
Trend Shorts Only
This turns the internals into a trade selection engine, not just a data display.
Why Market Internals Matter
Most indicators look only at price, but price is the result, not the cause.
Market internals show:
Where volume is flowing
Whether buying is aggressive or passive
How many stocks are participating
Whether algorithms are supporting or fighting the move
This dashboard helps traders:
Avoid chop
Stay out of low‑quality setups
Time entries with institutional flows
Improve win rate by trading the right setups at the right times
Final Notes
Works on any symbol or timeframe
Fully customizable colors
Two clean visual tables: Internals + Trade Playbook
Ideal for futures, ETFs, and options day traders
If you enjoy this tool, please like, comment, or follow. More enhancements are coming.
Trade smart.
Titan AI: Smart MFI OscillatorTitan AI: Smart MFI Oscillator is not your standard Momentum indicator. It is a next-generation Hybrid Intelligence Engine designed to detect the true state of market liquidity. Unlike traditional oscillators that rely on static levels (like 80/20), Titan AI employs an Unsupervised Learning Algorithm (K-Means Clustering)** to adaptively classify Money Flow in real-time.
This indicator is built for traders who need to filter out noise and see the structural reality of the market. It answers the critical question: "Is the market actually trending with volume, or is it stuck in equilibrium?"
With the integrated "Smart MFI (INFO)" Dashboard, you get a tactical Heads-Up Display (HUD) that stabilizes complex volatility data into clear, institutional signals.
💎 Key Features
1. Adaptive AI Brain (K-Means Clustering):
Standard oscillators fail because they don't adapt to volatility changes. Titan AI solves this by running a clustering algorithm on historical data to define dynamic "Overbought" and "Oversold" zones.
- Result: The indicator "breathes" with the market, providing accurate signals in both low-volatility ranges and high-volatility trends.
2. Institutional Flow Classification:
The core logic doesn't just measure ups and downs; it classifies the **Money Flow Index (MFI)** into three institutional states displayed on the panel:
- 🟢 ACCUMULATION: Strong buying pressure detected (Smart Money Entry).
- 🔴 DISTRIBUTION: Strong selling pressure detected (Smart Money Exit).
- ⚪ EQUILIBRIUM: The market is balanced/ranging. (No Edge).
3. Visual Histogram & Whale Detector:
- Classic Flow: Green/Red bars for buying/selling pressure.
- 🐋 WHALE ACTIVITY (White Bars): The histogram turns WHITE when current volume exceeds 200% of the average**. This visually confirms that big players (Whales) are driving the price movement.
4. "Squeeze" & Extreme Blocks:
- Orange Blocks: These appear when momentum is statistically overextended. In a strong trend, this indicates a **"Turbo Zone"**. In a weak market, it signals imminent exhaustion.
- Peak Circles: Visual markers for potential tops and bottoms based on adaptive band crosses.
5. Smart MFI (INFO) Dashboard (HUD):
A professional panel fixed to your screen that uses Confirmed Data to prevent repainting.
- Trend: Macro direction (EMA 200).
- Momentum (AI): Immediate impulse direction.
- Flow (AI): The exact institutional state + numeric value.
🚀 How to Use
1. Trend Following (The Flow)
- Long Setup: Wait for the Dashboard to show TREND: BULLISH and FLOW: ACCUMULATION. Enter when the histogram is Green or White (Whale Volume).
- Short Setup: Wait for TREND: BEARISH and FLOW: DISTRIBUTION. Enter when the histogram is Red or White.
2. Trading Reversals (The Extremes)
- Exhaustion: If you see Orange Blocks followed by a Circle/Triangle, the move is overextended.
- Execution: Do not fade the move immediately. Wait for the Dashboard's Momentum to flip (e.g., from Bullish to Bearish) to confirm the reversal.
3. Filtering Noise (The Smart Filter)
- If the Dashboard says FLOW: EQUILIBRIUM (Grey), volatility is dead. Stay out of the market or wait for a breakout confirmed by an Accumulation/Distribution signal.
⚙️ Settings
- AI Training Data: Adjusts how much historical data the K-Means algorithm uses (Default: 300).
- Visuals: Toggle the classic Money Flow Histogram, Divergence Lines, or the Dashboard itself.
- Positions: You can move the panel to any corner of the chart.
⚠️ Disclaimer
This tool is for educational and analytical purposes only. Trading involves significant risk. Always use proper risk management. Past performance does not guarantee future results. BINANCE:BTCUSDT.P
BTC – LEVR: Leverage Efficiency & Volume RatioLEVR: Leverage Efficiency & Volume Ratio
Observation-only. Data: IntoTheBlock.
Overview
The Leverage Efficiency & Volume Ratio (LEVR) is a market structure oscillator designed to detect "Paper Bubbles" and "Organic Bottoms" by separating speculative greed from network utility. While most indicators analyze price action, LEVR analyzes market fragility. It operates on the thesis that Sustainable Rallies are driven by Spot/Network Activity, while Fragile Rallies are driven by Derivatives Leverage.
Synergy
How it works with VERI
LEVR is designed to be the tactical counterpart to the fundamental VERI Indicator (Valuation & Entity Ratio Index).
Use VERI for Strategy: To identify Value. (Is Bitcoin cheap? Are Whales buying?)
Use LEVR for Risk: To identify Structure. (Is the current price move real, or is it a leverage bubble about to pop?)
The "Perfect Setup"
The strongest buy signals occur when VERI is in the Accumulation Zone (Whales buying) AND LEVR is in the Organic Zone (Leverage is flushed out) (as it was the case in the Dec 2022 Bear Market Bottom).
Why LEVR is Unique
Standard indicators often fail to contextualize Open Interest:
vs. Raw Open Interest: Raw OI always trends up over time as the market grows. LEVR solves this by normalizing OI against Active Addresses. This reveals when leverage is outpacing actual adoption.
vs. ELR (Estimated Leverage Ratio): Classic ELR divides Open Interest by Exchange Reserves. However, Exchange Reserves are notoriously difficult to track accurately. LEVR uses Active Addresses (Network Utility) as a cleaner, more reliable denominator for network health.
Methodology
The Mathematics: The indicator calculates a normalized Z-Score ratio between two IntoTheBlock datasets:
The Numerator (Greed): Perpetual Open Interest. The total dollar value of all open futures contracts. This represents the "Gambling" capital.
The Denominator (Utility): Active Addresses. The number of unique addresses transacting on-chain. This represents the "Real" user base.
The Formula : LEVR = Z-Score ( Perpetual Open Interest / Active Addresses )
How to Interpret the Visuals
The line color changes dynamically to reflect the current risk regime:
🟥 Speculative Premium (Red Line > 2.0) :
Signal: "Leverage Bubble."
Context: Open Interest is rising significantly faster than User Growth. The rally is fueled by debt.
Risk: High probability of a "Long Squeeze" or liquidation cascade.
🟦 Organic Base (Blue Line < -1.5) :
Signal: "Spot Driven Market."
Context: Speculators have been flushed out, but active network usage remains high. The line turns Blue to signal a healthy opportunity zone.
Risk: Low. Historically marks robust bottoms where hands are strong.
🟧 Neutral (Orange Line) :
The market is in a transition phase between organic growth and speculation.
Settings & Inputs
Users can customize the sensitivity of the Z-Score to fit their trading style (in brackets their current standard value):
Lookback Period (365) : The rolling window used to establish the "Baseline." A 365-day window captures the yearly trend.
Signal Smoothing (7) : A short moving average to reduce daily data noise.
Bubble Zone Top/Bottom (3.0 / 2.0) : The thresholds for the Red Zone. Raising the "Top" value will only show the most extreme, generational leverage bubbles.
Organic Zone Top/Bottom (-1.5 / -2.5) : The thresholds for the Green Zone. Lowering these values requires a deeper "flush" to trigger a signal.
Optimization
This indicator is mathematically optimized for the Daily (1D) timeframe. Using it on lower timeframes may result in noise due to the daily resolution of on-chain data.
Important Note on Historical Data
Please be aware that aggregated global Perpetual Open Interest data only becomes reliable and widely available starting around 2020-2021.
Pre-2021: The indicator will show a flat line or empty values. This is not a bug; it reflects the lack of historical derivatives market data for that period.
2021-Present: The indicator functions fully as intended.
Credits
Concept inspired by the "Estimated Leverage Ratio" (ELR) popularised by CryptoQuant and analysts like Willy Woo. LEVR adapts this concept for TradingView by substituting Exchange Reserves with Network Activity for better reliability.
Disclaimer
This tool is for research purposes only. It visualizes market structure data and does not constitute financial advice.
Tags
bitcoin, btc, open interest, leverage, on-chain, intotheblock, risk, derivatives, levr, veri
S&P Options Patterns Detector (6-20 Candles)Pattern detector for S&P options. Detects alerts for bullish or bearish signals for any stock in S&P 500
Session important reference linesThis indicator automatically plots crucial price reference points for the Regular Trading Hours (RTH) session, including Yesterday's High/Low/Close, Session Open, Midpoint, and the Initial Balance (IB) range with its 2x extension .
In the example above the lines are:
Dotted green - Today's open price
Dashed yellow - Today's mid line
Solid yellow - Initial Balance high/low
Dotted yellow - Initial Balance extension
Dotted dark green - Previous session high
Dotted dark red - Previous session low
Dotted orange - Previous session close
LiquidityPulse Multi-Timeframe Volume Zones/ LevelsLiquidityPulse Multi-Timeframe Volume Zones/ Levels
Non-repainting: levels appear on bar close and do not change.
What This Indicator Does
This indicator scans lower-timeframe price action to identify bars where volume and candle behaviour suggest that a notable price interaction occurred. When all conditions align, the script extracts a precise price level from that bar, plots it on your higher-timeframe chart, and extends it forward so you can observe whether the market interacts with it again later.
Each selected timeframe is processed independently. For every timeframe you enable, the script looks for the following criteria:
1. A shift in candle direction between the previous bar and the current bar
2. A close-to-open body alignment , helping filter out irregular or noisy movement
3. A volume increase relative to the recent average , based on a user-selected multiplier
If these conditions are met, the script marks the corresponding price level on the chart. You can enable up to seven lower timeframes at once, each with its own independent settings, colours, strength filters, and display capacity. This allows you to build a layered, multi-timeframe view of the levels/ zones.
How It Works
1. Candle Behaviour Shift
The script checks whether the previous bar and the current bar show opposing directional behaviour. This helps highlight moments that may reflect a shift in directional behaviour or a change in price movement characteristics.
2. Body Alignment
The previous bar’s close must closely align with the current bar’s open. This requirement reduces random noise and focuses detection on areas where structure between candles is unusually clean.
3. Volume Requirement
The combined volume of the current bar and the previous bar must exceed the recent average by a multiplier you choose.
Lower multiplier - more levels
Higher multiplier - only the most significant activity spikes qualify
This filters for bars with above-average participation (volume).
4. Price Level Identification
If all conditions are met, a price edge is defined:
Bearish pressure: upper edge
Bullish pressure: lower edge
This edge marks the price level where the qualifying candle behaviour occurred.
5. Zone Drawing
Each qualifying event produces:
A horizontal line marking the level
A (optional) shaded box around the level
A label showing the timeframe and the exact volume multiplier amount detected
The level then extends forward so you can monitor future interactions.
Key Settings
Zone Strength (Volume Multiplier)
Determines how selective the volume filter is.
Lower settings show more frequent activity
Higher settings restrict detection to only the strongest activity (volume) increases
Multi-Timeframe Framework
Enable/disable per timeframe
Custom source timeframe (e.g., 1m, 5m, 15m, etc.)
Strength threshold per timeframe
How many recent levels to display per timeframe (Show Last N Zones.)
You can display a single timeframe or stack several to highlight clustering.
How traders can use this indicator
This script is not a buy/sell signal generator. It is best used as a structural overlay that helps you identify:
Where candle behaviour abruptly shifted with increased volume
Whether multiple timeframes highlight similar levels
Comparing how frequently these conditions appear across different timeframes
How price behaves when revisiting areas of prior activity (levels)
Why this type of detection can be informative
Higher-timeframe charts compress a large amount of lower-timeframe activity. By identifying where the script found notable changes in direction, structure, and relative volume on a lower timeframe, it provides a way to reference points in the price history where behaviour differed from nearby bars. Displaying these levels on a higher timeframe allows traders to see how these conditions align with their broader analysis.
Disclaimer
This indicator does not measure true liquidity or order flow. It uses candle structure and relative-volume comparisons as interpretive tools, and the plotted levels do not represent signals or predictions. All analysis is user-interpreted, and past behaviour does not imply future behaviour.
FUSED 9.5 INSTITUTIONAL [FINAL] - AgTradezInstitutional style Indicator that gives you trend direction, MSS, with Tp levels and much more.
BTC Price Prediction Model [Global PMI]V2🇺🇸 English Guide
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
💡 Unique Insight: PMI & The 4-Year Cycle
A key distinguishing feature of this model is the hypothesis that Bitcoin's famous "4-Year Halving Cycle" may be intrinsically linked to the Global Business Cycle (PMI), rather than just supply shocks.
Therefore, the model incorporates PMI as a valuation "Amplifier".
Note: Due to TradingView data limitations, US PMI is currently used as the proxy for the global cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
7. Support Us ❤️
If you find this indicator useful, please Boost 👍, Comment, and add it to your Favorites! Your support keeps us going.
🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力,将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础,揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
💡 独家洞察:PMI 与 4年周期
本模型的一个核心独特之处在于:我们认为比特币著名的“4年减半周期”背后的真正驱动力,可能与全球商业周期 (PMI) 高度同步,而不仅仅是供应减半。
因此,模型特别引入 PMI 作为估值的“放大器” (Amplifier)。
注:由于 TradingView 数据源限制,目前采用历史数据最详尽的美国 PMI 作为全球周期的代理指标。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量(折算为美元)。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力,代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期(扩张 vs 收缩)来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲,但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源(M2, PMI)是月度更新的。标普500和算力是日度更新的。在日内图表(如15分钟、1小时、4小时)上使用此指标没有任何意义,因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标,旨在识别数月甚至数年的周期顶部和底部,而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用,不构成任何财务建议。该模型依赖于历史相关性,未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。






















