Squeeze & StructureTitle: Ultimate Squeeze & Market Structure
Description: This all-in-one trading system combines two of the most powerful concepts in technical analysis: Volatility Compression (The Squeeze) and Market Structure (SMC).
It is designed to solve the biggest problem breakout traders face: False Breakouts. By waiting for a Volatility Squeeze to release energy, and confirming it with a structural Break of Structure (BoS) or Change of Character (CHoCH), traders can identify high-probability setups with precision.
How It Works (The "Trifecta" Logic):
1. The Energy (The Squeeze): Using the classic TTM Squeeze logic, the indicator monitors the relationship between Bollinger Bands (price volatility) and Keltner Channels (average range).
Red Cloud: Volatility is compressed. The market is coiling like a spring. This is the Setup Phase.
Breakout: When price expands outside the bands, the energy is released.
2. The Structure (SMC & ZigZag): Built on a custom Non-Repainting ZigZag engine, the indicator objectively maps swing highs and lows to define the trend.
BoS (Break of Structure): Signals trend continuation. Price breaks a previous pivot in the direction of the trend.
CHoCH (Change of Character): Signals potential reversal. Price breaks a significant pivot in the opposite direction of the trend.
Ghost Line: A dotted line shows the live, developing leg of the ZigZag before it is confirmed, helping you anticipate the next pivot.
3. The Confluence (The Strategy): The most powerful signals occur when these two forces align.
Example: A Red Squeeze releases into a Bullish Breakout (Fuchsia Cloud), immediately followed by a Bullish CHoCH. This confirms that not only is volatility expanding, but the structural trend has officially reversed to the upside.
Visual Guide:
☁️ Cloud Colors (Volatility):
🟥 Red: Squeeze ON (Consolidation).
🟣 Fuchsia: Bullish Momentum Breakout.
🔵 Blue: Bearish Momentum Breakout.
🟡 Yellow: Armed/Waiting for Pullback (if Pullback mode is active).
⬜ Gray/Green: Normal Trending.
🏷️ Labels (Structure):
H / L: Confirmed Swing Highs and Lows.
BoS: Break of Structure (Trend Continuation).
CHoCH: Change of Character (Trend Reversal).
Features:
Dual Entry Modes: Choose between "Breakout" (immediate signal) or "Pullback" (waits for a retest of the midline).
Momentum Filter: Breakouts are only colored if the 20 SMA slope agrees with the direction.
Fully Customizable: Adjust ZigZag Sensitivity (Depth/Deviation), Squeeze lengths, and all colors.
Alerts: Triggers available for Squeeze Start, Breakouts, and Armed status.
Credits: This script incorporates concepts from the TTM Squeeze and standard Smart Money Concepts (SMC) market structure analysis. It uses a custom, non-repainting pivot detection algorithm to ensure historical accuracy.
المؤشرات والاستراتيجيات
ChronoFlow## ChronoFlow Sentinel
ChronoFlow Sentinel is a regime console that blends normalized fast/mid/slow regression slopes, phases them against a dual-speed EMA spread, and grades alignment so you instantly know whether the time stack is trending, rotating, or fighting itself.
HOW IT WORKS
Multi-Timeframe Slopes – Linear regression slopes are fetched via request.security() for your chosen fast, mid, and slow frames.
Normalized Weighting – User weights are rescaled so the composite chrono score is always on a consistent scale, regardless of configuration.
Phase Differential – The indicator subtracts a slow EMA from a fast EMA to detect whether price impulse confirms the slope mix.
Alignment Score – Signs of the three slopes are compared to compute a 0-1 alignment metric; backgrounds and alerts use this to signal confidence vs. chop.
Diagnostics Console – A bottom-right table streams each slope, the blended score, and which timeframe currently dominates.
HOW TO USE IT
Trend Qualification : Only push multi-contract positions when chrono score is positive, phase is positive, and alignment stays above your alert threshold (default 0.66).
Chop Defense : When alignment dips and conflict markers appear, immediately switch into mean-reversion tactics or sit flat.
Swing + Intraday Bridge : Pair ChronoFlow with other structure tools; require both aligned backgrounds and price confirmation before committing to swing entries.
CRYPTOCAP:SOL | CRYPTOCAP:XRP side by side view with ChronoFlow
VISUAL FEATURES
Optional flow curves: Enable Plot Raw Flows to audit each timeframe's slope when troubleshooting a signal.
Background intensity: Opacity auto-adjusts with alignment, so weak trends look faded while strong regimes glow vividly.
Signal/Conflict toggles: Long/short and chop markers are opt-in, keeping the panel pristine until you need annotations.
Conflict alerts: Built-in alert condition fires whenever alignment falls below your threshold, warning execution layers to scale down risk.
PARAMETERS
Fast Frame (default: 30): Fast timeframe for regression slope calculation.
Mid Frame (default: 120): Mid timeframe for regression slope calculation.
Slow Frame (default: D): Slow timeframe for regression slope calculation.
Fast Regression (default: 21): Regression length for fast timeframe.
Mid Regression (default: 34): Regression length for mid timeframe.
Slow Regression (default: 55): Regression length for slow timeframe.
Phase Length (default: 13): EMA period for phase differential calculation.
Fast Weight (default: 0.45): Influence of the fast timeframe in the composite score.
Mid Weight (default: 0.35): Influence of the mid timeframe in the composite score.
Slow Weight (default: 0.20): Influence of the slow timeframe in the composite score.
Plot Raw Flows (default: disabled): Enable to audit each timeframe's slope when troubleshooting.
Show Signal Labels (default: disabled): Toggle long/short signal markers.
Show Conflict Labels (default: disabled): Toggle conflict/chop markers.
Conflict Alert Level (default: 0.66): Set the alignment threshold that should trigger reduced size or flat positioning.
ALERTS
The indicator includes three alert conditions:
ChronoFlow Bullish: Detected a bullish regime shift
ChronoFlow Bearish: Detected a bearish regime shift
ChronoFlow Conflict: Flagged a low-alignment regime
LIMITATIONS
This indicator requires access to multiple timeframes via request.security() , which may consume additional resources. The alignment score is a simplified metric—real market conditions are more complex than a 0-1 scale can capture. The phase differential calculation assumes EMA spreads are meaningful proxies for momentum, which may not hold in all market regimes. Users should test parameter combinations on their specific instruments and timeframes, as default values are optimized for typical index futures trading.
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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
5 SMA Set + Bollinger Bands follow this especially 5 day average5 SMA Set + Bollinger Bands follow this especially 5 day average is important
//@version=5
indicator("5'li SMA Seti + Bollinger Bands", overlay=true, max_lines_count=10)
// === ORİJİNAL 5'Lİ SMA SETİ (HİÇ DOKUNMADIM) ===
len1 = 1
len5 = 5
sma1_low = ta.sma(low, len1)
sma1_high = ta.sma(high, len1)
sma5_low = ta.sma(low, len5)
sma5_high = ta.sma(high, len5)
sma5_close = ta.sma(close, len5)
plot(sma1_low, title="1 Periyot Düşük SMA", color=#8B0000, linewidth=4, style=plot.style_circles)
plot(sma1_high, title="1 Periyot Yüksek SMA", color=#006400, linewidth=4, style=plot.style_circles)
plot(sma5_low, title="5 Periyot Düşük SMA", color=#FF4040, linewidth=2, style=plot.style_line)
plot(sma5_high, title="5 Periyot Yüksek SMA", color=#90EE90, linewidth=2, style=plot.style_line)
plot(sma5_close, title="5 Periyot Kapanış SMA", color=#DA70D6, linewidth=3, style=plot.style_line)
// === KLASİK BOLLINGER BANDS (20-2) - ORİJİNAL HALİYLE ===
length_bb = 20
mult = 2.0
basis = ta.sma(close, length_bb)
dev = mult * ta.stdev(close, length_bb)
upper = basis + dev
lower = basis - dev
plot(basis, title="BB Orta (SMA 20)", color=#787B86, linewidth=2)
p1 = plot(upper, title="BB Üst Bant", color=#2962FF, linewidth=1)
p2 = plot(lower, title="BB Alt Bant", color=#2962FF, linewidth=1)
fill(p1, p2, color=color.new(#2962FF, 94), title="BB Arka Plan")
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! 🚀📈
Combined EMA (5, 9, 21)Updated script to add up and down arrows when EMAS cross. Prints a green down arrow when the 5 ema crosses below the 9 Ema and a black down arrow when the 5 crosses below the 21. It also prints a red up arrow when the 9 crosses above the 5 and when the 5 crosses above the 21
Weekly Anchored VWAP (Auto Reset)This Anchored VWAP automatically resets to Sunday Futures open at 6 PM NYC EST. It shows up on all time frames
Sectors Comparison with Auto LabelsThis indicator creates a label which updates with the chart value.
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations.
Sources used:
This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear
The following scripts were used in this publication:
1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script:
2. Wavetrend Oscillator with crosses, Author: LazyBear
3. Squeeze Momentum Oscillator, Author: LazyBear
This script functions based on the following criteria being true:
1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell)
2. Squeeze Momentum value is increasing (buy) or decreasing (sell)
3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell)
By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend).
This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile.
How to use:
Simply adjust the settings to your preference and read the given signals as generated.
Settings
There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart.
OBV Oscillator Settings
The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value.
The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style.
Wavetrend Settings
The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4)
Squeeze Momentum Settings
The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length .
Style Setting
You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals.
Time Frames:
While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame.
Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script)
SPY 1 Minute (Factory Settings):
SPX 15 minutes (Factory Settings):
Considerations
This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there...
As Always... Happy Trading.
-Not_A_Mad_Scientist (GreatfulFutures Trade University)
Opcje: Sugestia Strike'ów (HV Based)How to interpret this script?
1. Dotted Lines:
Red (Upper): The price level above which the asset is statistically unlikely to rise within X days. This is where you look for a Strike Price to sell a CALL option (Short Call).
Green (Lower): The price level below which the asset is statistically unlikely to fall. This is where you look for a Strike Price to sell a PUT option (Short Put).
2. Sigma Multiplier (Important!):
The default setting is 2.0. This represents 2 Standard Deviations.
In a normal distribution, 2 standard deviations cover approximately 95% of outcomes.
This means you theoretically have a 95% probability that the option will expire worthless (meaning you keep the full premium), but the premium received will be lower.
If you change it to 1.0, you will be closer to the current price = higher premium, but the risk of assignment (exercise) increases to about 32%.
3. DTE (Days to Expiration):
Enter the actual number of days for the option you intend to sell (e.g., 45). The script will calculate where the price might be in 45 days based on current volatility.
Ultimate Squeeze & BreakoutTitle: Ultimate Squeeze & Breakout
Description: This professional volatility indicator utilizes the power of Bollinger Bands and Keltner Channels to identify high-probability consolidation zones and explosive breakouts. It is designed to help traders spot "The Squeeze"—a critical period of low volatility where the market builds potential energy before a significant directional move.
How It Works:
1. The Energy (The Squeeze): Using the classic TTM Squeeze logic, the indicator monitors the relationship between price volatility (Bollinger Bands) and average range (Keltner Channels).
Red Cloud: Volatility is compressed. The Bollinger Bands have contracted inside the Keltner Channels. The market is coiling like a spring. This is the Setup Phase.
2. The Breakout (The Release): When price expands and closes outside the bands, the energy is released.
Momentum Filter: A unique filter checks the slope of the 20-period Basis Line (SMA). Breakout colors only trigger if the momentum slope agrees with the breakout direction, helping to filter out weak "fakeouts."
Visual Guide:
☁️ Cloud Colors (Volatility State):
🟥 Red: Squeeze ON (Consolidation/No Trade).
🟣 Fuchsia: Bullish Momentum Breakout.
🔵 Blue: Bearish Momentum Breakout.
⬜ Gray/Green: Normal Trending (Neutral).
Features:
Smart Filters: Breakouts are validated by the underlying momentum slope.
Trend Coloring: Option to switch the neutral trending cloud between Gray and Green.
Precision Tuning: Decimal inputs allow for fine-tuning of Standard Deviation and ATR multipliers.
Alerts: Full alert support for Squeeze Start, Bullish Breakouts, and Bearish Breakouts.
Credits: This script is built upon the foundational TTM Squeeze concept popularized by John Carter, enhanced with dynamic coloring and momentum filtering.
Squeeze Momentum OscillatorTitle: Squeeze Momentum Oscillator
Description: This indicator is a panel-based oscillator that separates market momentum from volatility, designed to spot high-probability breakouts using the classic TTM Squeeze logic.
How It Works: The indicator uses a "traffic light" system on the zero line to indicate volatility states, while the histogram shows the strength and direction of the trend.
1. The Dots (Volatility State): These dots tell you if the market is consolidating or trending.
🔴 Red Dot: Squeeze is ON. Bollinger Bands are inside Keltner Channels. Volatility is compressed. Do not trade; wait for the release.
🟢 Green Dot: Squeeze is OFF. Volatility is normal.
🟣 Fuchsia Dot: Bullish Breakout! The squeeze has fired to the upside and is confirmed by positive SMA momentum.
🔵 Blue Dot: Bearish Breakout! The squeeze has fired to the downside and is confirmed by negative SMA momentum.
2. The Histogram (Momentum): This measures the strength of the move using Linear Regression.
Light Green: Bullish momentum is increasing.
Dark Green: Bullish momentum is waning (caution).
Light Red: Bearish momentum is increasing.
Dark Red: Bearish momentum is waning (caution).
Settings & Features:
Momentum Filter: Breakout dots (Fuchsia/Blue) only appear if the 20-period SMA slope agrees with the breakout direction, filtering out weak fakeouts.
Customizable: Adjust lengths and multipliers for Bollinger Bands and Keltner Channels to tune sensitivity.
Toggle: You can turn the specific "Breakout Colors" on or off in the settings.
Credits: Based on the TTM Squeeze concept popularized by John Carter, utilizing Linear Regression for momentum and standard deviation/ATR comparisons for volatility. Fixed and optimized for TradingView Pine Script v6.
Diganta ATR LevelsThis Script Plots the ATR levels based on the following logic
1. The Open price of 9.15 is considered.
2. Then based on the Open Price the ATR levels are plotted.
3. The ATR length is 180
4. ATR multiplier is 1 ( extended by 25% on both sides)
Équilibre du Sentiment – Multi-Périodes (v6)
English
A unique and advanced sentiment indicator based on the harmonic mean of highs and lows over nested rolling windows.
How it works:
The neutral sentiment point is reached when positive sentiment equals negative sentiment, which corresponds to the situation where the percentage between the price and the minimum is equal to the percentage between the maximum and the price.
For each chosen period N, the script calculates N different "neutral feeling" values:
- One using the last 1 bar
- One using the last 2 bars
- …
- One using the last N bars
It then extracts the exact median of these N values using a sorted insertion method (no approximation).
This produces an extremely smooth, non-repainting equilibrium line that represents the true "central sentiment" of the market over the selected lookback.
Features:
- Up to 3 independent periods (365, 52, 26 by default – fully customizable)
- Optional background coloring (green/red) when price is above/below the main curve
- Clean labels on the last bar showing the current value for each active period
- Zero repainting – fully compatible with strategies and alerts
- Highly responsive even with very long periods (up to 3500 bars)
Great for:
- Identifying long-term fair value / equilibrium zones
- Building mean-reversion or breakout systems
Pure Pine Script® v6 – no external libraries, no security calls, no repainting-free.
MFI Volume Profile [Kodexius]The MFI Volume Profile indicator blends a classic volume profile with the Money Flow Index so you can see not only where volume traded, but also how strong the buying or selling pressure was at those prices. Instead of showing a simple horizontal histogram of volume, this tool adds a money flow dimension and turns the profile into a price volume momentum heat map.
The script scans a user controlled lookback window and builds a set of price levels between the lowest and highest price in that period. For every bar inside that window, its volume is distributed across the price levels that the bar actually touched, and that volume is combined with the bar’s MFI value. This creates a volume weighted average MFI for each price level, so every row of the profile knows both how much volume traded there and what the typical money flow condition was when that volume appeared.
On the chart, the indicator plots a stack of horizontal boxes to the right of current price. The length of each box represents the relative amount of volume at that price, while the color represents the average MFI there. Levels with stronger positive money flow will lean toward warmer shades, and levels with weaker or negative money flow will lean toward cooler or more neutral shades inside the configured MFI band. Each row is also labeled in the format Volume , so you can instantly read the exact volume and money flow value at that level instead of guessing.
This gives you a detailed map of where the market really cared about price, and whether that interest came with strong inflow or outflow. It can help you spot areas of accumulation, distribution, absorption, or exhaustion, and it does so in a compact visual that sits next to price without cluttering the candles themselves.
Features
Combined volume profile and MFI weighting
The indicator builds a volume profile over a user selected lookback and enriches each price row with a volume weighted average MFI. This lets you study both participation and money flow at the same price level.
Volume distributed across the bar price range
For every bar in the window, volume is not assigned to a single price. Instead, it is proportionally distributed across all price rows between the bar low and bar high. This creates a smoother and more realistic profile of where trading actually happened.
MFI based color gradient between 30 and 70
Each price row is colored according to its average MFI. The gradient is anchored between MFI values of 30 and 70, which covers typical oversold, neutral and overbought zones. This makes strong demand or distribution areas easier to spot visually.
Configurable structure resolution and depth
Main user inputs are the lookback length, the number of rows, the width of the profile in bars, and the label text size. You can quickly switch between coarse profiles for a big picture and higher resolution profiles for detailed structure.
Numeric labels with volume and MFI per row
Every box is labeled with the total volume at that level and the average MFI for that level, in the format Volume . This gives you exact values while still keeping the visual profile clean and compact.
Calculations
Money Flow Index calculation
currentMfi is calculated once using ta.mfi(hlc3, mfiLen) as usual,
Creation of the profileBins array
The script creates an array named profileBins that will hold one VPBin element per price row.
Each VPBin contains
volume which is the total volume accumulated at that price row
mfiProduct which is the sum of volume multiplied by MFI for that row
The loop;
for i = 0 to rowCount - 1 by 1
array.push(profileBins, VPBin.new(0.0, 0.0))
pre allocates a clean structure with zero values for all rows.
Finding highest and lowest price across the lookback
The script starts from the current bar high and low, then walks backward through the lookback window
for i = 0 to lookback - 1 by 1
highestPrice := math.max(highestPrice, high )
lowestPrice := math.min(lowestPrice, low )
After this loop, highestPrice and lowestPrice define the full price range covered by the chosen lookback.
Price range and step size for rows
The code computes
float rangePrice = highestPrice - lowestPrice
rangePrice := rangePrice == 0 ? syminfo.mintick : rangePrice
float step = rangePrice / rowCount
rangePrice is the total height of the profile in price terms. If the range is zero, the script replaces it with the minimum tick size for the symbol. Then step is the price height of each row. This step size is used to map any price into a row index.
Processing each bar in the lookback
For every bar index i inside the lookback, the script checks that currentMfi is not missing. If it is valid, it reads the bar high, low, volume and MFI
float barTop = high
float barBottom = low
float barVol = volume
float barMfi = currentMfi
Mapping bar prices to bin indices
The bar high and low are converted into row indices using the known lowestPrice and step
int indexTop = math.floor((barTop - lowestPrice) / step)
int indexBottom = math.floor((barBottom - lowestPrice) / step)
Then the indices are clamped into valid bounds so they stay between zero and rowCount - 1. This ensures that every bar contributes only inside the profile range
Splitting bar volume across all covered bins
Once the top and bottom indices are known, the script calculates how many rows the bar spans
int coveredBins = indexTop - indexBottom + 1
float volPerBin = barVol / coveredBins
float mfiPerBin = volPerBin * barMfi
Here the total bar volume is divided equally across all rows that the bar touches. For each of those rows, the same fraction of volume and volume times MFI is used.
Accumulating into each VPBin
Finally, a nested loop iterates from indexBottom to indexTop and updates the corresponding VPBin
for k = indexBottom to indexTop by 1
VPBin binData = array.get(profileBins, k)
binData.volume := binData.volume + volPerBin
binData.mfiProduct := binData.mfiProduct + mfiPerBin
Over all bars in the lookback window, each row builds up
total volume at that price range
total volume times MFI at that price range
Later, during the drawing stage, the script computes
avgMfi = bin.mfiProduct / bin.volume
for each row. This is the volume weighted average MFI used both for coloring the box and for the numeric MFI value shown in the label Volume .
Gold-to-GDX Flow Ratio (Metal vs Miners)# 📊 Indicator: Gold/GDX Flow Ratio (Metal vs Miners)
🔎 What it does
This indicator tracks the **relative flow of capital between gold and gold miners (GDX ETF)**. By plotting the ratio of gold price to GDX, it shows whether investors are favoring the **metal itself** or the **equities that mine it**.
- **Ratio rising:** Flow favors gold (metal > miners).
- **Ratio falling:** Flow favors miners (miners > metal).
- **Crossovers:** Fast/slow EMA crossovers highlight regime shifts.
- **Z‑score bands:** ±2 standard deviations flag stretched conditions, often precursors to mean reversion.
⚙️ Features
- **Customizable inputs:** Choose spot gold (`XAUUSD`) or futures (`GC1!`), and GDX ETF.
- **Moving averages:** Fast and slow EMAs to define flow regimes.
- **Z‑score overlay:** Detects extremes in the ratio.
- **Alerts:** Triggered on regime flips or exhaustion signals.
- **Prompt flow option:** Displays the current ratio as a clear on‑screen figure for quick read.
🎭 Why it matters
- **Gold vs miners divergence:** Miners often amplify moves in gold, but sometimes decouple. This ratio helps spot those divergences early.
- **Flow diagnostics:** Instead of vague “profit taking” narratives, you see where capital is actually rotating.
- **Tactical entries:** Use resistance/stop‑cluster maps in gold together with this ratio to time miner trades more effectively.
🧭 How to use
1. Add the indicator to your chart.
2. Watch the **ratio trend**: rising = metal strength, falling = miner strength.
3. Use **EMA crossovers** as regime signals.
4. Treat **Z‑score extremes** as caution zones for stretched flows.
5. Combine with your VWAP and resistance overlays for execution discipline.
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。
ADX with 20 ThresholdI wanted an ADX with a threshold line so I created an indicator.
ADX (20 Threshold) Cheat-Sheet
Purpose: Filter trades by trend strength.
Indicator: ADX (derived from DMI) with optional +DI/−DI lines.
Key Rules:
ADX > 20: Trend is strong → trade OK
ADX < 20: Trend is weak/choppy → avoid trades
Optional +DI / −DI: Shows momentum direction
HTF Use: Stable trend confirmation
LTF Use: Optional filter with EMA slope for entries
Tips:
Combine with EMAs or MACD for directional bias.
ADX does not indicate direction, only strength.
Best used to avoid low-probability trades in sideways markets.
Hash SupertrendHash Supertrend is a visually enhanced Supertrend-based indicator designed by Hash Capital Research, tuned specifically for crypto trend trading on Solana (SOL) and Bitcoin (BTC). It combines institutional-style color coding, an optional session time filter, and production-ready alerts for systematic and discretionary traders alike.
What This Indicator Is
Hash Supertrend is a trend-following volatility band indicator built on TradingView’s native ta.supertrend() function.
It’s optimized and visually styled for:
High-volatility crypto pairs (especially SOL/USDT, SOL/USD, BTC/USDT, BTC/USD)
Timeframes typically used by crypto traders (from 5m scalping to 4H swing and 1D trend following)
The script is an indicator, not a strategy:
It does not place trades or show backtest results.
It provides clear trend states, flips, and alerts that you can plug into your own execution stack or manual trading.
Key Features
✅ Tuned for Crypto (Solana & Bitcoin)
Parameters are chosen to respond well to the volatility profile of SOL and BTC, reducing noise while still catching strong moves.
✅ Non-repainting Supertrend Core
Uses TradingView’s built-in ta.supertrend — values may move intrabar as the bar forms, but once a bar closes, the historical line and signals do not repaint.
✅ Fluorescent Trend Visualization
Bright green for bullish phases
Bright red for bearish phases
Adaptive color intensity based on user setting
✅ Glow Layer & Trend Zones
Glow effect around the Supertrend line for instant visual recognition
Optional filled zones between price and line for “trend cloud” style visualization
✅ Time Filter (Session Control)
Option to only mark signals during specific hours for those wanting to integrate with webhooks
Designed for traders who avoid certain sessions (e.g., low-liquidity hours)
✅ Signal Dots & Alerts
Tiny green dots for bullish flips
Tiny red dots for bearish flips
Professional, preconfigured alerts for:
Long Entry
Short Entry
Any Trend Change
Filtered signals outside trading hours (for monitoring only)
The core logic is built on:
ATR Length (ATR Length) Default: 16
Lower values (7–10): more sensitive, more signals, more noise
Higher values (12–20): smoother, fewer but stronger trend signals
Factor (Factor) Default: 3.11
Lower values (1.5–2.5): tighter bands, earlier entries, higher whipsaws
Higher values (3.0–4.0+): wider bands, later entries, stronger trend confirmation
The indicator reads direction from ta.supertrend and classifies:
Bullish Trend: direction < 0
Bearish Trend: direction > 0
A trend flip happens when direction changes sign:
longSignal: Supertrend flips from above price to below price (bearish → bullish)
shortSignal: Supertrend flips from below price to above price (bullish → bearish)
FAIRPRICE_VWAP_RDFAIRPRICE_VWAP_RD
This script plots an **anchored VWAP (Volume Weighted Average Price)** that resets
based on the user-selected anchor period. It acts as a dynamic “fair value” line
that reflects where the market has actually transacted during the chosen period.
FEATURES
- Multiple anchor options: Session, Week, Month, Quarter, Year, Decade, Century,
Earnings, Dividends, or Splits.
- Intelligent handling of the “Session” anchor so it works correctly on both 1m
(resets each new day) and 1D (continuous, non-resetting VWAP).
- Manual VWAP calculation using cumulative(price * volume) and cumulative(volume),
ensuring the line is stable and works on all timeframes.
- Optional hiding of VWAP on daily or higher charts.
- Offset input for horizontal shifting if desired.
- VWAP provides a true “fair price” reference for trend, mean-reversion,
and institutional-level analysis.
PURPOSE
This indicator solves the common problem of VWAP behaving incorrectly on higher
timeframes, on synthetic data, or with unusual anchors. By implementing VWAP
manually and allowing flexible reset conditions, it functions reliably as
an institutional-style fair value benchmark across any timeframe.
MA + ATR Channel V2This script creates a dynamic volatility channel (similar to a Keltner Channel). It plots a central Moving Average (SMA or EMA) to represent the baseline trend and uses the Average True Range (ATR) to calculate the Upper and Lower bands. The channel automatically widens during high volatility and narrows during low volatility.
Usage
Mean Reversion: In sideways markets, prices touching the outer bands often tend to revert back to the central line.
该脚本构建了一个基于波动率的动态通道(类似肯特纳通道)。它以**移动平均线(SMA或EMA)为中轴判断趋势,并利用真实波幅(ATR)**计算通道宽度。通道范围会随市场波动加剧而变宽,随波动平缓而收窄。
用法
震荡回归: 在横盘行情中,价格触及通道边缘时,往往有回调至中轴的倾向。






















