PA Breakout Signals (Neutral)This indicator highlights potential breakout opportunities using a price-action approach. It identifies consolidation ranges, detects breakouts above or below these ranges, and optionally confirms retests with simple candle patterns. Higher-timeframe structure (HH/HL or LH/LL) can be used as an additional directional filter.
The tool plots neutral “Trigger” markers along with optional entry, stop, and target reference lines to support discretionary analysis. It does not provide trading advice and is intended only as a visual aid for chart interpretation.
Indicators and strategies
InsidebarDisplays insidebar levels on your chart and let's you set alerts when a new insidebar is created.
X Trend dashboard PROX Trend PRO is your market command center. It replaces 11 separate indicators, consolidating their combined power into one clear panel.
The key difference in the PRO version is Multi-Timeframe (MTF) analysis.
Instead of a single timeframe, the PRO version displays market "pressure" across four timeframes simultaneously, which you can customize:
Lower
Current
Higher 1
Higher 2
What does this do for you?
Save Time: Forget constantly switching charts. X Trend PRO does the work for you, displaying the complete market picture on a single screen.
Clean Chart: You no longer need 10 indicators. One dashboard is enough, freeing up your workspace.
Fast Trend Identification: One glance is all it takes to spot the beginning of a new trend—this happens when the pressure across all timeframes aligns to the same color.
High-Confidence Analysis: Instantly distinguish short-term "noise" (when L and C are red, but H1 and H2 are still green) from a strong, confirmed trend (when all TFs are aligned).
The panel also displays the asset's correlation with BTC and ETH for additional market context.
Settings:
DASHBOARD SETTINGS: Customize the panel's appearance, position, size, and whether to show percentages.
TIMEFRAMES (MTF): Select your desired timeframes for "Lower", "Higher 1", and "Higher 2". The "Current" timeframe is always taken from your active chart.
CORRELATION SETTINGS: Configure the sources and period for BTC and ETH correlation.
INDICATOR COMPONENTS: For simplicity and a cleaner menu, this version only allows customization of the three main EMAs (Fast, Medium, Slow). The other 8 indicators (CRSI, MFI, Schaff, etc.) are built into the core and are always active to ensure the most accurate and stable pressure calculation.
Asia & UK Sessions H/LThis will show you the Highs and Lows of the Asia and UK sessions on the same day.
Gann Square of 144 (Master Price & Time)🔹 What this tool does
Draws a 144-unit square in price & time (0 → 144)
Plots all key horizontal & vertical levels:
0, 18, 36, 48, 54, 72, 90, 96, 108, 126, 144
Highlights the main 1/2 level (72) as thick midline
Marks 1/3 and 2/3 (48 & 96) as special harmonic levels
Draws internal diagonals (0–144, 144–0 and sub-squares)
Plots an 8-ray Gann fan from the 0-point (0 → 36 / 72 / 108 / 144 etc.)
Keeps price–time ratio consistent inside the box:
the 1×1 angle has a fixed slope = price_per_bar
The idea: once the square is calibrated to a major swing, you can study how price respects these angles and harmonic zones over time.
🔧 Inputs & how to set it up correctly
Choose your timeframe
Works best on Daily and Weekly charts.
Use one timeframe consistently when calibrating the square.
Start offset (bars back)
Start offset (bars back) shifts the whole square left/right.
Increase the value to move the square further into the past, decrease it to move it closer to the current bars.
Box width (bars)
Box width (bars) = how many bars the square spans horizontally.
Bigger value = projects the structure further into the future.
Example: 288 bars ≈ 2×144 units in time, 720 bars for longer-term projection, etc.
Bottom price
Bottom price is your 0-level in price.
Usually set this to a major swing low (cycle low, bear market low, important pivot).
The bottom-left corner of the square conceptually sits at:
(start_offset_bar, bottom_price)
Price per bar (slope 1×1) (if your version has this input)
This defines the slope of the 1×1 angle (main Gann angle).
Recommended way to set it:
Pick a major impulsive move from Swing Low → Swing High.
Measure:
Price range = High − Low
Number of bars between them.
Compute:
price_per_bar = price_range / number_of_bars
Use that as your 1×1 value in the input.
Now the main diagonal from 0 to 144 represents the true Gann 1×1 for that swing.
Important: The 1×1 angle is mathematically correct (price-per-bar), even if it does not always look like a perfect 45° line visually in TradingView due to chart scaling.
📖 How to read the Square of 144
Horizontal levels
0 = anchor price (bottom)
18, 36, 48, 54, 72, 90, 96, 108, 126, 144 = key price harmonics
72 (1/2) often acts as major support/resistance
48 & 96 (1/3 and 2/3) are strong “vibration” levels
Vertical levels
Same units but in time (bars).
When important pivots in price occur near these verticals, you get time–price confluence.
Midlines (1/2)
The thick horizontal and vertical lines at 72 mark the center of the square.
Crossings around these often signal important cycle turns.
1/3 & 2/3 zones (48–54 and 90–96)
These narrow bands are powerful reversal / decision zones.
Price often reacts strongly there or accelerates if they break.
Gann fan from 0-point
These rays represent major trends:
1×1 equivalent (main diagonal)
Faster & slower angles (e.g. 2×1, 1×2, etc depending on configuration)
If price breaks one fan angle cleanly, it often “falls” or “climbs” toward the next one.
🎯 Practical use cases
Project future support/resistance zones based on a major low.
See where price is in the square: early in the cycle (0–36), mid (around 72), or late (108–144).
Watch how price respects:
midlines (72),
1/3 and 2/3 bands (48–54, 90–96),
and the fan angles from 0.
Combine with your own price action / Fibonacci / trend tools – this is not a signal generator, but a time–price map.
⚠️ Notes & limitations
This tool is for educational & analytical purposes only.
It does not generate buy/sell signals.
Visual 45° angles in TradingView can change when you zoom or rescale the chart.
→ The script keeps the internal price-per-bar logic stable, even if the drawing looks steeper/flatter when zooming.
Always confirm zones with price action, volume, and higher timeframe context
MTF Cloud With Candle ColorTwo EMA Clouds MTF with option to color candles based on Short > Long on first cloud. With two clouds one can use one for trade and the other for trend. MTF allows for viewing more granular interactions with longer such as daily time frames.
Trend Following Volatility TrailThe Trend Following Volatility Trail is a dynamic trend-following tool that adapts its stop, bias, and zones to real-time volatility and trend strength. Instead of using static ATR multiples like a normal Supertrend or Chandelier Stop, it continuously adjusts itself based on how stretched the market is and how persistent the trend has been.
This makes the system far more reactive during momentum phases and more conservative during consolidation, helping avoid fake flips and late entries.
How It Works
The indicator builds an adaptive trail around a smoothed price basis:
It starts with a short EMA as the “core trend line.”
It measures volatility expansion versus normal volatility.
It measures trend persistence by reading whether price has been rising or falling consistently.
These two components combine to adjust the ATR multiplier dynamically.
As volatility expands or the trend becomes more persistent, the bands widen. When volatility compresses or the trend weakens, the bands tighten.
These adaptive bands form the foundation of the trailing system.
Bull & Bear State Logic
The tool constantly tracks whether price is above or below the adaptive trail:
Price above the upper trail → Bullish regime
Price below the lower trail → Bearish regime
But instead of flipping immediately, it waits for confirmation bars to avoid noise. This greatly reduces whipsaws and keeps the focus on sustained moves.
Once a new regime is confirmed:
A coloured cloud appears (bull or bear)
A label marks the flip point
Alerts can be triggered automatically
Best Uses
Identifying regime shifts early
Riding sustained trends with confidence
Avoiding choppy markets by requiring confirmation
Using the adaptive cloud as a directional bias layer
EMA MTF Trend Dashboard (Cross & Bias Modes)EMA MTF Trend Dashboard (Cross & Bias Modes)
A clean, multi-timeframe trend-alignment tool designed to support disciplined entries and higher-probability trades.
________________________________________
🔍 What This Dashboard Does
The EMA MTF Trend Dashboard provides a clear, structured view of trend direction across seven key timeframes:
1m • 5m • 15m • 30m • 1H • 4H • Daily
It highlights your execution timeframe, displays EMA-based trend direction per timeframe, and produces a plain-English directional bias using either Single EMA mode or Dual EMA Cross mode.
This makes it useful for scalpers, intraday traders, swing traders, and anyone who wants clarity before executing a trade.
________________________________________
🧠 How to Read the Dashboard
1. Execution Timeframe (Blue Row)
The blue row is your execution timeframe — the timeframe used to calculate the final bias.
• In Chart mode, it automatically matches your current chart timeframe.
• In Locked mode, it remains fixed, even if you switch to other chart timeframes.
This ensures consistency and removes any ambiguity before entering a trade.
________________________________________
2. EMA Mode (Use Any Length You Like)
You’re free to choose any EMA lengths — the dashboard adapts to your strategy.
• Smaller EMAs (5–20):
React quickly and highlight short-term momentum changes or early trend shifts.
• Larger EMAs (50–200+):
Move more slowly and provide a smoother read of overall trend structure, filtering out low-timeframe noise.
This flexibility lets you tune the dashboard to your preferred approach — whether you want fast tactical signals or slower, more stable directional structure.
________________________________________
3. Cross & Bias Modes
The dashboard supports two core engines:
✔ Single EMA Mode (Price vs EMA + ATR Neutral Buffer)
A trend-following model that avoids false signals when price is close to the EMA.
✔ Dual EMA Cross Mode (Fast vs Slow EMA)
A crossover-based trend engine ideal for traders who prefer structure shifts based on EMA alignment.
You can switch modes instantly from the settings.
________________________________________
4. Bias (Plain-English Trend Assessment)
The bias row at the bottom shows the overall directional bias for the blue timeframe, calculated using weighted multi-timeframe logic:
• Strong Bull
• Bullish
• Neutral
• Bearish
• Strong Bear
This provides instant clarity on whether market conditions support (or conflict with) your trade idea.
________________________________________
5. Trend Table (Heatmap View)
Each timeframe shows:
• ▲ Bullish
• ▼ Bearish
• – Neutral
Colour coded for clarity:
• Green = bullish
• Red = bearish
• Grey = neutral
• Blue = execution timeframe highlight
This creates a clean, at-a-glance trend heatmap.
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⚙️ Customisation Options
• Fully adjustable EMA lengths
• Single EMA mode (with ATR neutral zone)
• Dual EMA Cross mode (fast/slow)
• Selectable text colour (dark/light theme friendly)
• Execution timeframe mode: Chart or Locked
• Compact and visually clear table layout
________________________________________
✔ Why This Tool Helps
This dashboard gives traders a structured, rule-aligned view of trend direction by:
• Keeping you aligned with broader multi-timeframe structure
• Reducing counter-trend mistakes
• Clarifying trend shifts and momentum changes
• Making decision-making faster and more consistent
• Supporting any systematic or rule-based trading plan
It is a decision-support tool, not a buy/sell signal — making it useful for all trading styles.
________________________________________
📌 Notes for Users
• Non-repainting (uses confirmed closes)
• Works universally: Forex, crypto, indices, commodities
• Suitable for scalpers, day-traders, swing traders
________________________________________
💬 Feedback & Future Enhancements
If you’d like to see additional timeframes, alternative trend engines, an ultra-compact mode, or alert integrations, feel free to request upgrades.
B21V21This Pine Script is designed to provide both previous-day reference levels and real-time market data, making it suitable for live trading applications. It automatically retrieves all key historical levels—such as PDH, PDL, PDC, and PDO—for the currently selected strike as well as the corresponding opponent strike.
The script allows users to compare two instruments or strikes by selecting either a self-opponent view or any required strike for cross-analysis. Important intraday levels are displayed dynamically during live market conditions, enabling traders to make informed and timely decisions.
ECG PRICE - mauricioofsousa📉 ECG PRICE – The Price Electrocardiogram
(explained for traders, scientists, and complete beginners)
🔍 1. WHAT IS THE ECG PRICE?
The ECG PRICE protocol is a market-reading system based on the RSI, but with a surgical twist:
👉 You don’t just calculate RSI from price.
👉 You adjust the price using the RSI, and then calculate RSI over this adjusted price.
This creates a filtered, amplified signal that behaves like a heart monitor for price, detecting micro-impulses and subtle market movements long before they show up in the standard RSI.
🧬 2. CORE IDEA
Just like a real ECG amplifies and reveals electrical rhythms hidden inside the heartbeat,
the ECG PRICE amplifies micro-deformations hidden inside the price’s momentum.
It works in three stages:
Compute the regular RSI
Use the RSI to adjust the price (creating an electrocardiographic price)
Compute a second RSI over this modified price
The result is a meta-derived oscillator—more sensitive, more precise, and better at detecting structural changes.
🧩 3. TECHNICAL BREAKDOWN
3.1. First RSI (classic)
The script calculates:
average gains
average losses
relative strength (RS)
and then the standard 0–100 RSI
This is the “normal heart rate monitor” everyone uses.
3.2. Creating the “Adjusted Price”
adjustedPrice = close * (rsi / 100)
This means:
➡️ When RSI is high (strong buying momentum), price is amplified.
➡️ When RSI is low (strong selling momentum), price is compressed.
This converts raw price into a bio-electrical signal, where the price itself is modulated by its own internal momentum.
It’s the financial equivalent of ECG gain adjustment.
3.3. RSI of the Adjusted Price
Now the script calculates a new RSI from this modified price.
That is the actual ECG PRICE.
This second-order oscillator becomes extremely sensitive to:
micro-momentum shifts
early trend fading
volatility shocks
micro-divergences
institutional pressure waves
It reads the electrical pattern behind the price rather than the superficial movement.
🟩🟥 4. Diagnostic Lines of the Protocol
35 (green dotted)
Pre-oversold fatigue zone.
65 (red dotted)
Pre-overbought exhaustion zone.
30 (white solid)
Classic oversold.
70 (white solid)
Classic overbought.
Together they create two diagnostic corridors:
1. Medical corridor (30–70):
Standard RSI clinical range.
2. Electrical corridor (35–65):
The ECG-sensitive zone where micro-shifts appear first.
🧠 5. In Engineering Language (MGO style)
The ECG PRICE is essentially:
A nonlinear second-order oscillator where the RSI feeds back into price, creating a recursive momentum-modulated signal.
It functions like a:
bioinformational modulator
feedback-driven wave processor
impulse amplifier
micro-PID sensitivity enhancer
Very similar to the informational-wave transformations inside the MGO pipeline.
👨⚕️📉 6. Explained for a Total Beginner
Imagine the price is a heart.
The normal RSI shows if the heart is beating fast or slow.
But the ECG PRICE takes that heartbeat…
feeds it back into the heart…
and then measures the new heartbeat.
This creates a much more sensitive exam that detects problems before the normal test would.
💡 7. What It Gives You in Practice
earlier reversal signals
better trend-fatigue detection
clearer micro-divergences
a clean RSI with reduced noise
a smoother momentum curve
advanced behavioral readings before breakouts
It’s an upgrade.
A second-layer RSI that “hears” the inner electrical impulses of price.
Tradertzuri - WatermarkA cute addition to the graph and for people who want to add quality to their graph.
Triple Supertrend final indicatorit gives 3 super trends giving the trend and is very good indicator.can be used to be in trend and trail your profit and stoip losses
ADR Daily Range + Volatility + KZs — SMC/ICT (@PueblaATH)ADR Daily Range + Volatility + KZs — SMC/ICT (@PueblaATH) is a complete intraday context and volatility HUD that plots market opens, killzones, previous period highs/lows, and a dynamic ADR/volatility dashboard. It is built to give SMC/ICT traders an at-a-glance view of when and where price is moving: sessions, overlaps, ranges, and distance to key levels, all on a single clean overlay.
What the Indicator Does
Market Opens (Tokyo, London, New York)
Professional-grade session open lines with:
Individually configurable open times per session and timezone.
Infinite vertical lines or height-limited extensions (custom tick offsets).
Fully styled labels: size, alignment, auto-background, manual background, and vertical offset.
Killzones & Session Overlaps
Precision-timed shaded boxes for:
Tokyo Killzone
London Killzone
New York Killzone
London–New York Overlap
Previous Period Levels (PDH/PWH/PMH & PDL/PWL/PML)
Robust daily/weekly/monthly high/low engine:
Accurate Previous Day / Week / Month Highs & Lows (Europe/Madrid reference).
Line length modes: infinite, N bars, or end-of-day projection.
Per-level colors + labeled markers placed to the right of price with custom horizontal/vertical spacing.
Timeframe & Weekend Filters
Keep charts clean by hiding components based on:
Custom timeframe ranges (hide opens or killzones on HTFs).
Weekend filters for opens, killzones, and ADR/table.
Optional override to display the HUD table across all timeframes.
Session Comparison Table (Top-Right HUD)
A compact, institutional-style session dashboard comparing:
Tokyo, London, New York — current open vs previous session and previous day.
Bullish/Bearish state with color-coded logic (+ optional ▲/▼ arrows).
Optional Δ% change column relative to previous day’s open.
ADR / Volatility Panel (24h Rolling Window)
A powerful real-time volatility module providing:
True 24-hour rolling high–low range.
SMA-based ADR calculation with automatic bar-count safety limits.
ADR% expansion metric with two thresholds + blinking color logic for volatility extremes.
Directional bias vs price 24 hours ago (Bullish/Bearish).
Optional metrics: distance to PDH/PDL (in price units) and absolute H–L / ADR values.
How to Use It
Set each session’s open time and killzone window according to your broker or desired timezone alignment.
Enable or disable session opens and killzones to frame the trading windows you prioritize (e.g., LDN Killzone or NY session expansion).
Activate key previous period levels (PDH/PDL, PWH/PWL, PMH/PML) and tune the line-length mode and label spacing to match your workflow.
Use timeframe & weekend filters to keep higher-timeframe charts clean while maintaining precise intraday visibility on lower timeframes.
Monitor the session comparison table to understand directional behavior relative to previous sessions and previous day opens.
Watch the ADR panel to classify the day as compressed, normal, or expanded—and anticipate potential reversion or continuation.
Originality & Credits Disclaimer
This indicator is an original work by @PueblaATH , created specifically for the tool ADR Daily Range + Volatility + KZs — SMC/ICT (@PueblaATH) and distributed under the MPL 2.0 license.
While the concepts implemented—session opens, killzones, ADR, and previous highs/lows—are public and widely known in the trading community, this script introduces a uniquely integrated framework that combines:
Multi-timezone session scheduling with dynamic TF/weekend filtering.
A modular PDH/PWH/PMH + PDL/PWL/PML engine with versatile projection and labeling controls.
A precise 24-hour volatility model tied to an ADR panel with extension thresholds, blinking alerts, and distance-to-PD metrics.
A multi-session comparative table that unifies Tokyo, London, and New York open data in real time.
This work does not reuse or repackage code from other authors. Any future adaptations from public sources will always include full, transparent credit and documentation.
MultiAlgo - ScoutMultiAlgo Scout is a helper tool that shows you when market conditions are favorable and when you should stay patient. It is built to support the MultiAlgo system and works for both long and short trading.
What it helps you do:
Filter the current trend so you know if you should focus on longs or shorts
Highlight potential entry candles and continuation candles
Mark swing points and structure zones that matter for decision making
Dynamically show areas where you can place your stop loss based on volatility
Scout does not give buy or sell signals. It gives you clean visual guidance so you can make your own trading decisions with more confidence and consistency.
Liquidity Trend SystemThis script is a multi-strategy trading indicator. It combines several technical analysis tools into one overlay indicator to generate Buy and Sell signals. Here’s what it does:
✅ Main Purpose
It analyses price action and trends using multiple methods and plots signals, targets, and alerts on the chart. The goal is to identify high-probability trade setups.
🔍 Components & Their Roles
Target Trend
Detects trend direction using moving averages and ATR.
Draws stop-loss, entry, and three target levels on the chart.
Colours candles based on trend (bullish or bearish).
Plots visual signals (triangles) when trend changes.
Trend Filter
Applies a two-pole smoothing filter to price for trend detection.
Uses rising/falling conditions to confirm trend strength.
Plots a coloured line and optional signals when trend changes.
Liquidity Sweeps
Identifies liquidity grabs (price sweeping highs/lows).
Marks wicks, outbreaks, and retests visually.
Highlights zones where liquidity was taken.
Candle Range Trading
Detects two-candle reversal patterns:
Bullish CRT (second candle bullish after bearish first).
Bearish CRT (second candle bearish after bullish first).
Plots markers and optional high/low box for the pattern.
RBD/DBR Patterns
Detects supply/demand patterns:
Rally → Base → Drop (RBD)
Rally → Base → Rally (RBR)
Drop → Base → Drop (DBD)
Drop → Base → Rally (DBR)
Colours bars and plots labels for these patterns.
✅ Final Signal Logic
Combines all conditions from the above strategies AND higher timeframe confirmations (HTF)
Generates:
Buy signal when all bullish conditions align.
Sell signal when all bearish conditions align.
Plots Buy/Sell labels and triggers alerts.
⚠️ Key Notes
This is a confluence-based system: signals appear only when multiple strategies agree.
It uses multi-timeframe analysis, which can repaint if not handled carefully.
Heavy use of lines, labels, and arrays → may impact performance on lower-end devices.
Market Extreme Zones IndexThe Market Extreme Zones Index is a new mean reversion (valuation) tool focused on catching long term oversold/overbought zones. Combining an enhanced RSI with a smoothed Z-score this indicator allows traders to find oppurtunities during highly oversold/overbought zones.
I will separate the explanation into the following parts:
1. How does it work?
2. Methodologies & Concepts
3. Use cases
How does it work?
The indicator attempts to catch highly unprobable events in either direction to capture reversal points over the long term. This is done by calculating the Z-Score of an enhanced RSI.
First we need to calculate the Enhanced RSI:
For this we need to calculate 2 additional lengths:
Length1 = user defined length
Length2 = Length1/2
Length3 = √Length
Now we need to calculate 3 different RSIs:
1st RSI => uses classic user defined source and classic user defined length.
2nd RSI => uses classic user defined source and Length 2.
3rd RSI => uses RSI 2 as source and Length 2
Now calculate the divergence:
RSI_base => 2nd RSI * 3 - 1st RSI - 3rd RSI
After this we need to calculate the median of the RSI_base over √Length and make a divergence of these 2:
RSI => RSI_base*2 - median
All that remains now is the Z-score calculations:
We need:
Average RSI value
Standard Deviation = a measure of how dispersed or spread out a set of data values are from their average
Z-score = (Current Value - Average Value) / Standard Deviation
After this we just smooth the Z-score with a Weighted Moving average with √Length
Methodology & Concepts
Mean Reversion Methodology:
The methodology behind mean reversion is the theory that asset prices will eventually return to their long-term average after deviating significantly, driven by the belief that extreme moves are temporary.
Z-Score Methodology:
A Z-score, or standard score, is a statistical measure that indicates how many standard deviations a data point is from the mean of a dataset. A positive z-score means the value is above the mean, a negative score means it's below, and a score of zero means the value is equal to the mean.
You might already be able to see where I am going with this:
Z-Score could be used for the extreme moves to capture reversal points.
By applying it to the RSI rather than the Price, we get a more accurate measurement that allow us to get a banger indicator.
Use Cases
Capturing reversal points
Trend Direction
- while the main use it for mean reversion, the values can indicate whether we are in an uptrend or a downtrend.
Advantages:
Visualization:
The indicator has many plots to ensure users can easily see what the indicator signals, such as highlighting extreme conditions with background colors.
Versatility:
This indicator works across multiple assets, including the S&P500 and more, so it is not only for crypto.
Final note:
No indicator alone is perfect.
Backtests are not indicative of future performance.
Hope you enjoy Gs!
Good luck!
DCT - Liquidity Heatmap - ProOVERVIEW
This indicator visualizes liquidity levels by analyzing volume intensity, order flow structure, and price interaction. It highlights areas where buy-side and sell-side liquidity builds up, showing potential zones of interest.
WHAT IT DOES
- Detects buy-side and sell-side liquidity levels
- Tracks swept zones
- Displays volume intensity using a color-graded system
- Optional CVD mode showing directional volume bias
- Adapts automatically to different market types and volatility states
- Extends active levels forward
- Cleans up old data automatically
- Includes optional alert conditions
KEY FEATURES
- Automatic market and volatility identification
- Smart spacing and level management
- Optional CVD tracking
- Forward level projection
- Swept level preservation
- Imbalance markers
- Real-time info table with liquidity stats, volatility state, and level counts
- Memory-optimized handling for long charts
IMPORTANT NOTES
- Not a predictive tool
- Not a standalone trading system
- Effectiveness varies by timeframe and data quality
- Optimized for crypto markets
- Historical visualization shows past detected levels
HOW TO USE
- Add indicator to your chart
- Adjust spacing to widen or tighten clusters
- Enable CVD if directional pressure is needed
- Configure alerts if desired
- Use Compact mode on smaller screens
TECHNICAL DETAILS
- Pine v6
- Overlay: true
- Max boxes: 500
- Memory optimized
- Works on Perpetual and Spot crypto markets
DISCLAIMER
For analysis and educational use only. No financial advice. Markets can behave unpredictably. Use your own judgment and risk management.
[AutoZone_mrkim]- Use wisely
- The indicator will automatically draw the Order Block zone for each timeframe
- It will change color if a zone is broken out
- Each timeframe will have different zone levels depending on the timeframe used
Smart MA Crossover█ OVERVIEW
"Smart MA Crossover" is a technical analysis indicator designed to enhance the effectiveness of strategies based on MA crossovers, combining classic moving average crossovers with breakouts from boxes and dynamic trend visualizations. The indicator is fully customizable—you can freely adjust both parameters and graphical elements.
█ CONCEPTS
Trading approaches based solely on moving average crossover moments generate a large number of false signals. Smart MA Crossover was created to improve this statistic. That's why boxes are added, which are formed from the candle where the MA crossover occurred and generate signals only upon breakout from them. The boxes have bullish (green) and bearish (red) colors. By default, the show_only_matching filter is enabled, displaying entry signals only when the breakout direction matches the box color (e.g., only upward for a bullish box). Boxes are by default the size of the candle on which the crossover occurred, but their size can be adjusted to suit your strategy via an optional average candle size multiplier.
█ FEATURES
- Moving Averages: Two configurable MAs (fast_length, default 10; slow_length, default 30) with selectable type (SMA, EMA, WMA, HMA, VWMA). Optionally displayed with gradient fill between them (color depends on trend: green for uptrend, red for downtrend).
- MA Gradient and Candle Coloring: Enable gradient fill between MAs (transparency: gradient_opacity, default 85) and dynamic candle coloring based on trend (green/red).
- Fog Gradient Trend: Multi-layered gradient "fog" around hl2, consisting of 5 levels up and down, with offset based on average candle size (offset_mult, default 0.7) and increasing transparency (base_transp, default 80; transp_inc, default 4). Fog colors are dynamic (green/red).
- Breakout Boxes: Created at the moment of MA crossover, extending to the right. Box height optionally multiplied by average candle size (use_box_multiplier, box_multiplier, default 1.0). Boxes close and generate a signal when price breaks out beyond the top/bottom edge.
Signals:
- Triangles: Green downward triangles (buy breakout) below the bar, red upward triangles (sell breakout) above the bar—only on breakouts matching direction (if show_only_matching = true). When the matching filter is disabled, every box generates a signal based not on the MA crossover, but on the breakout direction.
- Labels: “BUY” (green, below bar) and “SELL” (red, iabove bar) with transparent background (transparency 40).
- Matching Filter: The show_only_matching option limits signals to breakouts consistent with box direction (bullish box → only buy, bearish → only sell).
- Visualization: Gradient MA lines, fill between MAs, multi-layered fog with increasing transparency, boxes with transparent background (85) and colored borders, dynamic trend colors.
- Alerts: Built-in alerts for BUY and SELL signals (with message including ticker and timeframe).
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- MA Settings: Adjust fast (fast_length, default 10) and slow (slow_length, default 30) MA lengths and type (ma_type, default SMA).
- Visualization: Enable/disable MA lines (show_ma_lines), MA gradient (use_gradient_ma), fog trend (show_fog), candle coloring (color_candles).
- Boxes and Breakouts: Enable candle size multiplier (use_box_multiplier) and set value (box_multiplier, default 1.0). Enable signal filter (show_only_matching).
- Signals: Choose type (signal_type): Triangles or Labels (Buy/Sell).
- Fog Trend: Adjust offset (offset_mult), base transparency (base_transp), and increment (transp_inc). Select trend colors (col_up, col_dn).
Signal Interpretation:
- Buy Signals: Green triangles below the bar or “BUY” label—on upward breakout from a bullish box (after bull cross).
- Sell Signals: Red triangles above the bar or “SELL” label—on downward breakout from a bearish box (after bear cross).
- Fog and Gradient: green fog/fill = uptrend; red = downtrend.
- Boxes: Active boxes indicate potential breakout zones; their closure confirms the move.
Signal Confirmation: Use with other tools, such as support/resistance levels, volume, or additional MAs to filter false crossovers.
█ APPLICATIONS
- MA Cross Strategies: Replace classic crossovers—boxes and breakouts eliminate many false signals, thereby increasing effectiveness. Confirm with other indicators, e.g., RSI, Fibonacci, FVG, pivot levels.
- Trend Following: Can be used as a classic trend indicator, especially with larger MA values.
█ NOTES
- Test the indicator across different timeframes and assets, adjusting MA lengths and box multiplier to market volatility.
- In consolidating markets, the indicator generates more false signals.
Fractional Candlestick Long Only Experimental V4 Another example of use an idea of Fractional Candlestick , based on mathematical rules of Fractional Calculus , typical kernel Caputo-Fabrizio ( CF ) and Atangana-Baleanu is used, alfa factor ( esential for calculation ) is in range 0,1-0.9.
Let's fun with this script .
Bravo EssentialsThe Bravo Essentials is a mini toolkit of volume based analysis tools for traders. By combining analysis of multiple market dimensions we created this toolkit for traders that want a clean setup for analysing volume and trends.
The Normalized Volume and Volatility Frequency Profile
This is a specialized analytical indicator that integrates volatility-adjusted volume data with a price frequency distribution profile. It provides a multidimensional perspective of how trading activity and volatility interact across different price levels, allowing for a deeper understanding of where market participation is most concentrated and how price dynamics evolve over time.
Unlike traditional volume or profile indicators that treat volume and volatility separately, this tool adjusts volume relative to volatility, creating a more balanced and context-aware representation of market behavior. This helps traders observe how changes in volatility influence participation, and where stable or reactive zones tend to form in the price structure.
The indicator displays a visual box made up of two main components:
Normalized Volume with Volatility Adjustment, displayed at the bottom, showing how trading activity responds to varying levels of volatility.
Price Frequency Profile — positioned on the right side, mapping how often price has traded at each level and highlighting the Point of Control (POC), the area of highest activity or equilibrium.
Key Features
- Normalized Volume & Volatility Display
Illustrates trading activity in context with volatility changes, revealing periods of expansion and contraction that may not appear on raw volume charts.
- Frequency Distribution Profile
Displays the density of price interactions across the selected range, helping highlight zones where the market has spent the most time.
- Point of Control (POC)
Marks the level with the highest concentration of price activity, often an area of balance or a potential inflection point.
- Adaptive Scaling
Automatically adjusts to market conditions, ensuring consistent readability during both high and low volatility periods.
- Gradient Visualization
Uses color intensity to convey the strength of both volume and frequency data, aiding quick interpretation.
- Customizable Parameters
Includes options to modify lookback length, bin count, and color palette to suit different charting preferences.
How to Use
- Volume and Volatility Context
Detect transitions between low-activity consolidation and high-activity breakout conditions by comparing normalized volume behavior with price movement.
- Market Structure Analysis
Identify areas of balance and imbalance within the price range, offering potential support and resistance cues.
- Trend Assessment
Analyze the relationship between rising or falling normalized volume and directional price changes to evaluate momentum consistency.
- Breakout Confirmation
Observe how price behaves around the POC; a breakout with increasing normalized volume can reinforce directional conviction.
Pre-Move Compression Zones
Recognize low-volatility regions that often precede significant directional expansions.
The Dynamic POC
The Dynamic Point of Control (Dynamic POC) is a price based key level that continuously adapts to evolving market conditions. It represents the price area where the most trading activity or volume concentration has occurred within a defined lookback period. This level effectively marks the market’s short-term “center of gravity,” providing valuable insight into areas of balance, interest, and potential reaction.
Unlike static profile based POC levels that are calculated once and remain fixed, the Dynamic POC recalculates in real time as new data forms. This makes it more responsive to intraday structure and better suited for active trading environments where market balance can shift quickly. The inclusion of volatility-based upper and lower bands adds further context, helping traders assess how far price has deviated from equilibrium and whether current movement is expanding or reverting toward balance.
Key Features
- Adaptive Price Equilibrium
Continuously tracks the most active price zone within a rolling window, updating dynamically as market conditions evolve.
- Volume-Weighted Logic
Reflects where the greatest market participation occurs, highlighting levels where buyers and sellers have historically agreed on value.
- Volatility Bands
Optional upper and lower boundaries expand and contract based on market volatility, visually defining zones of potential overextension or compression.
- Color-Coded Visualization
Uses clear, consistent coloring to distinguish the POC line and its volatility envelopes, making it easy to interpret balance shifts at a glance.
- Customizable Width and Lookback
Adjustable parameters allow traders to fine-tune sensitivity and precision depending on the timeframe or strategy focus.
How to Use
- Market Balance Indicator
When price remains close to the Dynamic POC, it suggests equilibrium—markets are balanced and consolidating.
- Directional Bias Filter
Sustained movement above the Dynamic POC often reflects bullish control, while persistent price action below can indicate bearish sentiment.
- Reversion & Breakout Context
Tests of the upper or lower volatility bands can precede mean reversion toward the POC, while clean breaks beyond them may confirm continuation momentum.
- Support and Resistance Framework
The Dynamic POC frequently aligns with short-term support or resistance zones, making it a useful anchor for trade entries, targets, and risk placement.
By combining both the POC and the Volume Frequency Profile we are able to build up a system of confluence whereby we can locate pockets of larger volume in the market. Generally speaking these are good areas to be setting areas for entries, exits and stop losses.






















