SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Phân tích Xu hướng
SMI Trigger System SMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Wavelet Candlestick Slope Follower-Master Edition Here is a short description of this script:
This is a **Trend Following strategy** that utilizes advanced mathematics—the **Wavelet Transform**—to filter out market noise.
**Key Features:**
1. **Synthetic Candles:** The script does not analyze raw prices. Instead, it constructs "Wavelet Candles"—smoothed candles created through mathematical convolution of prices with a specific wavelet "kernel" (e.g., Mexican Hat, Morlet, Haar).
2. **Auto-Correction (Normalization):** This is the most critical technical feature of this code. The script automatically normalizes the weights. This ensures that even when using complex mathematical shapes (like the Mexican Hat), the output price remains accurate to the real chart scale and is not distorted.
3. **Strategy Logic:** The logic is very straightforward—the system enters a **Long** position when the smoothed closing price (`w_close`) is rising, and closes the position when it starts to fall.
4. **Visualization:** It draws new, cleaner candles (green/red) on the chart, revealing the "true" trend structure after filtering out temporary fluctuations.
This is a example of use idea of wavelet candle
NY Session Range & FlowNY Session Range & Flow is a rule-based intraday futures indicator designed for the New York session, with a focus on MNQ / NQ price behavior.
This indicator does not predict the market. Instead, it maps context, structure, and flow so traders can make disciplined decisions with predefined risk.
🔍 Core Concepts
NY Session Range & Flow combines:
Session structure
Range usage (ADR / AWR)
VWAP positioning & slope
Liquidity sweeps
Supply & Demand zones
Opening Range Breakouts
Mean reversion vs trend continuation logic
All signals are graded and throttled to reduce noise and overtrading.
📌 What the Indicator Shows
🕒 Session Logic (NY Time)
RTH (09:30–16:00 NY)
Trade windows (AM / PM)
Opening Range (09:30–09:45)
ETH session ranges (for context only)
📊 Range & Regime Awareness
ADR / AWR usage
Identifies expansion vs exhaustion
Helps avoid trading when range is already spent
📉 Flow & Bias
VWAP with optional ATR bands
VWAP slope filter for directional bias
Mean reversion distance rules
🧲 Liquidity & Structure
Prior Day High / Low
NY High / Low / Mid
Opening Range High / Low
Liquidity sweep detection
📦 Supply & Demand Zones
Higher-timeframe pivot-based zones
ATR-adjusted zone thickness
Last active zone tracking
🎯 Signal Types (Graded)
Trend Continuation
Sweep Reversal
Opening Range Breakout (ORB)
Mean Reversion to VWAP
Each signal is scored and graded (A+ → C) based on:
Structure
Liquidity
VWAP alignment
Regime context
Only signals that meet your selected quality threshold are displayed.
⚖️ Risk Visualization
Fixed Stop Loss & Take Profits in ticks
Supports SL + TP1 + TP2
Optional ATR trailing structure
Visual SL/TP lines for clarity (manual execution)
This is a decision-support tool, not an auto-trading system.
📋 Range Usage Table
Displays real-time usage for:
RTH
ETH
Weekly
Monthly ranges
Color-coded to highlight expansion and exhaustion.
⚠️ Important Notes
Designed for manual trading
Best suited for futures traders
Optimized for MNQ / NQ, but adaptable
Not financial advice
🔧 Recommended Use
Combine with strict risk management
One trade at a time
Respect session context and range limits
Wavelet Candle Constructor (Inc. Morlet) 2Here is the detailed description of the **Wavelet Candle** construction principles based on the code provided.
This indicator is not a simple smoothing mechanism (like a Moving Average). It utilizes the **Discrete Wavelet Transform (DWT)**, specifically the Stationary variant (SWT / à Trous Algorithm), to separate "noise" (high frequencies) from the "trend" (low frequencies).
Here is how it works step-by-step:
###1. The Wavelet Kernel (Coefficients)The heart of the algorithm lies in the coefficients (the `h` array in the `get_coeffs` function). Each wavelet type represents a different set of mathematical weights that define how price data is analyzed:
* **Haar:** The simplest wavelet. It acts like a simple average of neighboring candles. It reacts quickly but produces a "boxy" or "jagged" output.
* **Daubechies 4:** An asymmetric wavelet. It is better at detecting sudden trend changes and the fractal structure of the market, though it introduces a slight phase shift.
* **Symlet / Coiflet:** More symmetric than Daubechies. They attempt to minimize lag (phase shift) while maintaining smoothness.
* **Morlet (Gaussian):** Implemented in this code as a Gaussian approximation (bell curve). It provides the smoothest, most "organic" effect, ideal for filtering noise without jagged edges.
###2. The Convolution EngineInstead of a simple average, the code performs a mathematical operation called **convolution**:
For every candle on the chart, the algorithm takes past prices, multiplies them by the Wavelet Kernel weights, and sums them up. This acts as a **digital low-pass filter**—it allows the main price movements to pass through while cutting out the noise.
###3. The "à Trous" Algorithm (Stationary Wavelet Transform)This is the key difference between this indicator and standard data compression.
In a classic wavelet transform, every second data point is usually discarded (downsampling). Here, the **Stationary** approach is used:
* **Level 1:** Convolution every **1** candle.
* **Level 2:** Convolution every **2** candles (skipping one in between).
* **Level 3:** Convolution every **4** candles.
* **Level 4:** Convolution every **8** candles.
Because of this, **we do not lose time resolution**. The Wavelet Candle is drawn exactly where the original candle is, but it represents the trend structure from a broader perspective. The higher the `Decomposition Level`, the deeper the denoising (looking at a wider context).
###4. Independent OHLC ProcessingThe algorithm processes each component of the candle separately:
1. Filters the **Open** series.
2. Filters the **High** series.
3. Filters the **Low** series.
4. Filters the **Close** series.
This results in four smoothed curves: `w_open`, `w_high`, `w_low`, `w_close`.
###5. Geometric Reconstruction (Logic Repair)Since each price series is filtered independently, the mathematics can sometimes lead to physically impossible situations (e.g., the smoothed `Low` being higher than the smoothed `High`).
The code includes a repair section:
```pinescript
real_high = math.max(w_high, w_low)
real_high := math.max(real_high, math.max(w_open, w_close))
// Same logic for Low (math.min)
```
This guarantees that the final Wavelet Candle always has a valid construction: wicks encapsulate the body, and the `High` is strictly the highest point.
---
###Summary of ApplicationThis construction makes the Wavelet Candle an **excellent trend-following tool**.
* If the candle is **green**, it means that after filtering the noise (according to the selected wavelet), the market energy is bullish.
* If it is **red**, the energy is bearish.
* The wicks show volatility that exists within the bounds of the selected decomposition level.
Here is a descriptive comparison of **Wavelet Candles** against other popular chart types. As requested, this is a narrative explanation focusing on the differences in mechanics, interpretation philosophy, and the specific pros and cons of each approach.
---
###1. Wavelet Candles vs. Standard (Japanese) CandlesThis is a clash between "the raw truth" and "mathematical interpretation." Standard Japanese candles display raw market data—exactly what happened on the exchange. Wavelet Candles are a synthetic image created by a signal processor.
**Differences and Philosophy:**
A standard candle is full of emotion and noise. Every single price tick impacts its shape. The Wavelet Candle treats this noise as interference that must be removed to reveal the true energy of the trend. Wavelets decompose the price, reject high frequencies (noise), and reconstruct the candle using only low frequencies (the trend).
* **Wavelet Advantages:** The main advantage is clarity. Where a standard chart shows a series of confusing candles (e.g., a long green one, followed by a short red one, then a doji), the Wavelet Candle often draws a smooth, uniform wave in a single color. This makes it psychologically easier to hold a position and ignore temporary pullbacks.
* **Wavelet Disadvantages:** The biggest drawback is the loss of price precision. The Open, Close, High, and Low values on a Wavelet candle are calculated, not real. You **cannot** place Stop Loss orders or enter trades based on these levels, as the actual market price might be in a completely different place than the smoothed candle suggests. They also introduce lag, which depends on the chosen wavelet—whereas a standard candle reacts instantly.
###2. Wavelet Candles vs. Heikin AshiThese are close cousins, but they share very different "DNA." Both methods aim to smooth the trend, but they achieve it differently.
**Differences and Philosophy:**
Heikin Ashi (HA) is based on a simple recursive arithmetic average. The current HA candle depends on the previous one, making it react linearly.
The Wavelet Candle uses **convolution**. This means the shape of the current candle depends on a "window" (group) of past candles multiplied by weights (Gaussian curve, Daubechies, etc.). This results in a more "organic" and elastic reaction.
* **Wavelet Advantages:** Wavelets are highly customizable. With Heikin Ashi, you are stuck with one algorithm. With Wavelet Candles, you can change the kernel to "Haar" for a fast (boxy) reaction or "Morlet" for an ultra-smooth, wave-like effect. Wavelets handle the separation of market cycles better than simple HA averaging, which can generate many false color flips during consolidation.
* **Wavelet Disadvantages:** They are computationally much more complex and harder to understand intuitively ("Why is this candle red if the price is going up?"). In strong, vertical breakouts (pumps), Heikin Ashi often "chases" the price faster, whereas deep wavelet decomposition (High Level) may show more inertia and change color more slowly.
###3. Wavelet Candles vs. RenkoThis compares two different dimensions: Time vs. Price.
**Differences and Philosophy:**
Renko completely ignores time. A new brick is formed only when the price moves by a specific amount. If the market stands still for 5 hours, nothing happens on a Renko chart.
The Wavelet Candle is **time-synchronous**. If the market stands still for 5 hours, the Wavelet algorithm will draw a series of flat, small candles (the "wavelet decays").
* **Wavelet Advantages:** They preserve the context of time, which is crucial for traders who consider trading sessions (London/New York) or macroeconomic data releases. On a wavelet chart, you can see when volatility drops (candles become small), whereas Renko hides periods of stagnation, which can be misleading for options traders or intraday strategies.
* **Wavelet Disadvantages:** In sideways trends (chop), Wavelet Candles—despite the smoothing—will still draw a "snake" that flips colors (unless you set a very high decomposition level). Renko can remain perfectly clean and static during the same period, not drawing any new bricks, which for many traders is the ultimate filter against overtrading in a flat market.
###Summary**Wavelet Candles** are a tool for the analyst who wants to visualize the **structure of the wave and market cycle**, accepting some lag in exchange for noise reduction, but without giving up the time axis (like in Renko) or relying on simple averaging (like in Heikin Ashi). It serves best as a "roadmap" for the trend rather than a "sniper scope" for precise entries.
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix
This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis.
It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade.
How it Works
The strategy relies on the "Golden Trio" of confluence:
1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as:
Price is above the Session VWAP.
The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends).
2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session).
Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish.
Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish.
3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts.
Key Features
The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H).
Trend: Checks if Price > EMA 21.
VWAP: Checks if Price > VWAP.
ORB: Checks if Price is currently above/below the Opening Range of that session.
D H/L: Warns if price is near the Daily High or Low.
PD H/L: Warns if price is near the Previous Daily High or Low.
Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move).
Chart: Draws Green/Red zones extending to the right, showing where price may react.
Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning.
Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs.
Visual Guide (Chart Legend)
⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box.
🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum.
🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum.
🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks.
🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here.
🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here.
⚪ Dots (Trailing Stop):
🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss.
🔴 Red Dots: These appear above price during a Bearish trend.
🏷️ Buy / Sell Labels:
BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish.
SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish.
Settings
Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise.
Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor.
Order Blocks: Adjust the sensitivity and lookback period for Order Block detection.
Risk: Customize the ATR multiplier for the trailing stop.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
SMI Trigger System The SMI Trigger System is a lower-pane momentum indicator based on a Hull-smoothed Stochastic Momentum Index (SMI). It is designed to assist in identifying potential momentum shifts by highlighting signal alignment and level interactions.
This indicator is intended to be used as part of a broader analysis framework. Confluence between trend, structure, and higher-timeframe context defines the setup, while SMI signal behavior may be used for confirmation.
The script can be applied across multiple timeframes and markets. It does not generate trade signals on its own and should be used alongside additional analysis and risk management techniques.
For educational purposes only. Not financial advice.
SMI Trigger System This is a great lower indicator that’s incredibly accurate on any timeframe. I’ve been using it for years on TOS, and now with the help of ChatGPT — since I don’t code — I can now use it on TradingView. Originally written by "Buy Low" and further modified by "Hguru" in TOS. It helps confirm confluence and improves trade confidence.
PFA_ATR Locha: Clean Volatility RegimePerfect 👍
Below is the **TradingView-ready publishing text** using **ONLY**:
* **Bold →** ` ... `
* *Italics →* ` ... `
No markdown, no emojis, no extra formatting — **100% compatible with TradingView indicator description**.
ATR Locha – Volatility Regime Indicator
A market-condition tool to identify volatility compression and expansion
Description
ATR Locha is a volatility-regime indicator based on ATR expressed as a percentage of price (ATR%) . Instead of predicting price direction, it focuses on identifying market stress states —periods of unusually low volatility (compression) and unusually high volatility (panic or expansion).
Markets often remain calm for long periods and then move sharply when volatility expands. ATR Locha helps traders visually identify these conditions and prepare accordingly.
What the Indicator Shows
• ATR% line showing current volatility intensity
• Lower shaded zone representing volatility compression (ATR Locha zone)
• Upper shaded zone representing volatility expansion / panic
• Regime label displaying the current market state
Core Concept
Price trends often change only after volatility changes.
ATR Locha does not answer “Where will price go?”
It answers “Is risk quietly building or already exploding?”
How to Use ATR Locha
1. Compression Zone (ATR Locha Zone)
When ATR% enters the lower shaded region:
• Market volatility is suppressed
• Price ranges become narrow
• Risk of sudden expansion increases
Trading Insight
• Reduce leverage
• Avoid chasing late trends
• Prepare for breakouts or regime shifts
2. Expansion / Panic Zone
When ATR% enters the upper shaded region:
• Volatility is elevated
• Market is emotionally driven
• Large candles and gaps are common
Trading Insight
• Book partial profits
• Tighten stop losses
• Avoid aggressive fresh entries
3. Normal Regime
When ATR% stays between both zones:
• Market is balanced
• Trends or ranges behave normally
Trading Insight
• Follow your regular trading strategy
Best Use-Cases
• Index analysis (NIFTY, BANKNIFTY, global indices)
• Positional and swing trading
• Risk management and position sizing
• Market regime identification
Advantages (Pros)
• Clear identification of market regimes
• Objective and non-directional
• Acts as an early warning system
• Works well on daily and weekly charts
• Complements any price-based strategy
Limitations (Cons)
• Not a buy or sell signal
• Does not predict price direction
• Volatility compression can persist longer than expected
• Requires confirmation from price structure or volume
Common Mistakes to Avoid
• Using ATR Locha as a standalone trading system
• Expecting immediate breakouts from compression
• Ignoring price action and structure
• Over-leveraging during low volatility periods
Recommended Combinations
• ATR Locha + price structure analysis
• ATR Locha + trend indicators
• ATR Locha + options volatility (IV) analysis
• ATR Locha + support and resistance levels
Summary
ATR Locha is not a trading strategy.
It is a volatility and risk-condition detector .
It helps traders understand whether the market is:
• Calm
• Balanced
• Or under stress
Used correctly, ATR Locha improves discipline, risk awareness, and timing quality.
Disclaimer
ATR Locha is intended for educational and analytical purposes only. It does not constitute investment advice, trading recommendations, or a guarantee of future performance. Market conditions can change rapidly, and volatility regimes may persist longer than anticipated. Users should apply independent judgment, proper risk management, and additional confirmation before making any trading decisions.
Credit Spreads Swing TradingCredit Spreads Swing Trading
Summary
Credit Spreads Swing Trading is a decision-support indicator designed to identify higher-probability put credit spread (PCS) and call credit spread (CCS) opportunities using trend alignment, momentum shifts, and volatility-aware structure.
The indicator works on any ticker and any timeframe, and includes multiple built-in ticker presets that automatically adjust internal parameters. While it will generate signals on all charts, the on-chart table displays a recommended context to indicate when the current symbol, timeframe, and session conditions match the optimized configuration.
Core Signal Logic
Signals are generated when multiple conditions align:
Momentum shift-
Identifies directional momentum changes that often precede short-term swing continuation.
Trend confirmation-
Ensures trades align with the prevailing trend and avoids counter-trend entries.
Higher-timeframe bias
Incorporates Daily and 4-Hour EMA structure to bias trades in the dominant market direction.
Relative volume filter-
Confirms participation to reduce low-quality signals during thin or inactive periods.
Cooldown logic
Enforces spacing between signals to prevent clustering and over-trading.
Credit Spread Direction & Structure
PCS (Put Credit Spread) signals are generated in neutral to bullish conditions
CCS (Call Credit Spread) signals are generated in neutral to bearish conditions
When a signal triggers, the script calculates a recommended short strike using recent pivot structure and displays it visually on the chart. This level is intended as a reference point for structuring a credit spread, not as an execution instruction.
On-Chart Table (Informational)
The indicator includes a compact table that displays:
Current signal type (PCS or CCS)
Recommended sell-leg strike
Average spacing between historical signals
How often prior sell-legs were crossed before the next signal (visual reference only)
Recommended context status
The recommended context row indicates whether the chart matches the optimized setup:
1-Hour timeframe
Extended hours enabled
Selected ticker preset matches the chart symbol (unless set to Auto)
This recommendation is informational only. Signals are not blocked when the chart does not match the recommended context.
Ticker Presets & Flexibility
Users can select from multiple built-in ticker presets (or Auto), which adjust internal parameters such as:
Momentum sensitivity
Volatility handling
Trend responsiveness
This allows the indicator to adapt to different instruments while maintaining a consistent signal framework.
Important Notes
This indicator does not place trades and does not include automated backtesting or performance reporting.
All statistics and visual markers are for manual review and contextual analysis only.
Signals are intended for experienced traders who understand options risk, assignment risk, and proper position sizing.
Intended Use
Credit Spreads Swing Trading is intended as a research and decision-support tool for traders who sell option premium and want structured, rules-based signals aligned with trend, momentum, and volume.
It should be used alongside independent analysis and disciplined risk management.
Opening Range Intraday IndicatorOpening Range Intraday Indicator
Summary
The Opening Range Intraday Indicator is a decision-support tool for intraday breakout entries. It combines an Opening Range Breakout (ORB) model with relative volume confirmation and a squeeze-style trend filter, then visualizes entries with clearly defined take-profit (TP) and stop-loss (SL) levels.
The indicator works on any ticker and any timeframe. However, its default parameters and internal logic are optimized for TSLA on the 15-minute chart, which is shown as a recommended context in the on-chart table for informational purposes only.
Core Logic
Opening Range Breakout
Establishes an opening range during the early session and monitors for confirmed breakouts above or below that range to generate potential intraday entries.
Relative Volume confirmation
Breakouts are validated using relative volume to help ensure participation and reduce low-quality signals during thin or inactive periods.
Squeeze / trend filter
A squeeze-style metric evaluates recent compression and directional behavior, helping to avoid entries during unfavorable or low-quality structural conditions.
Entry Visualization & Risk Levels
When a valid entry is confirmed, the indicator automatically:
Plots directional entry markers
Calculates and draws multiple take-profit levels
Draws a stop-loss level based on opening-range structure or ATR logic
Marks TP or SL hits directly on the chart for visual review
These visuals persist on the chart to allow traders to manually review trade structure and outcome over time.
On-Chart Table & Context Guidance
The indicator includes a compact on-chart table that displays:
Current squeeze value and short-term trend behavior
“No trade” conditions when structure is unfavorable
A recommended context message indicating whether the chart matches the optimized setup (TSLA on the 15-minute timeframe)
This message is informational only and does not restrict signals or functionality on other symbols or timeframes.
Flexibility & Controls
Users can customize:
Take-profit and stop-loss display behavior
Tight or standard stop-loss logic
Quiet windows near session close to suppress alerts
Visual settings and table positioning
This allows the indicator to be adapted to different instruments, volatility profiles, and execution styles.
Important Notes
This indicator does not execute trades and does not include automated backtesting or performance statistics.
TP/SL markers are visual aids only and are intended for manual review, not statistical validation.
Results will vary by symbol, timeframe, execution, and market conditions.
This indicator is intended as a research and decision-support tool for experienced intraday traders who understand execution risk, volatility, and position sizing. It should be used alongside proper risk management and independent analysis.
EDGE Momentum Cloud═════════════════════════════════════════════════════════════
EDGE MOMENTUM CLOUD
═════════════════════════════════════════════════════════════
█ OVERVIEW
The EDGE Momentum Cloud is a confluence-based trading system that combines adaptive volatility zones with trend direction analysis to identify high-probability trade setups. Rather than relying on a single indicator, this tool creates a visual "momentum zone" that helps traders understand the current market regime while filtering signals through trend confirmation.
The indicator generates two tiers of signals:
• Standard Signals — Based on trend direction changes
• Premium Signals — Require additional confluence with momentum zone positioning
Premium signals represent higher-conviction setups where multiple factors align.
█ HOW IT WORKS
The EDGE Momentum Cloud combines two core components working together:
❶ MOMENTUM ZONE (CLOUD)
Two ATR-based trailing bands create a dynamic volatility envelope
❷ TREND FILTER
A customizable moving average determines trend direction
❸ SIGNAL ENGINE
Evaluates confluence between trend changes and zone positioning
█ THE MOMENTUM ZONE EXPLAINED
At the core of this indicator are two ATR-based trailing bands that form the "momentum zone":
INNER BAND (FAST)
• Tighter trailing stop using a smaller ATR multiplier (default: 3.0×)
• Reacts quickly to price changes
• Defines the near-term momentum boundary
OUTER BAND (SLOW)
• Wider trailing stop using a larger ATR multiplier (default: 6.0×)
• Provides a more forgiving boundary
• Represents the broader momentum envelope
The space between these bands creates the Momentum Zone —a visual cloud that expands during volatile conditions and contracts during consolidation.
ZONE COLOR INTERPRETATION:
• Green Zone = Bullish bias (bands trailing below price)
• Red Zone = Bearish bias (bands trailing above price)
█ THE TREND FILTER EXPLAINED
A customizable moving average acts as the trend direction filter. When the trend line changes direction (turns up or down), the indicator evaluates whether conditions support a trade signal.
The trend filter supports 13 different calculation methods , allowing you to match the indicator's responsiveness to your trading style:
SMA • EMA • WMA • HMA • VWMA • RMA • LSMA
TMA • DEMA • TEMA • DWMA • SSMA • MEDIAN
Direction is determined by comparing the current value to a previous value (controlled by Direction Smoothing). Higher smoothing values reduce noise and false direction changes.
█ SIGNAL LOGIC
┌────────────────────────────────────────────────────────────
│ STANDARD SIGNALS
├────────────────────────────────────────────────────────────
│ These trigger when the trend filter changes direction:
│
│ LONG — Trend filter turns from falling to rising
│ SHORT — Trend filter turns from rising to falling
│
│ Standard signals indicate a potential trend change but
│ do not require zone confluence.
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ PREMIUM SIGNALS
├────────────────────────────────────────────────────────────
│ These require confluence between trend change AND
│ favorable positioning relative to the momentum zone:
│
│ PREMIUM LONG
│ • Trend turns up while filter is ABOVE the zone, OR
│ • Price breaks into/out of zone during recent bullish trigger
│
│ PREMIUM SHORT
│ • Trend turns down while filter is BELOW the zone, OR
│ • Price breaks into/out of zone during recent bearish trigger
│
│ Premium signals have built-in confluence and typically
│ offer better risk/reward setups.
└────────────────────────────────────────────────────────────
█ VISUAL ELEMENTS
ZONE COMPONENTS
• Inner Band — Fast trailing stop (thin line)
• Outer Band — Slow trailing stop (thick line)
• Zone Fill — Shaded area between bands showing momentum regime
TREND COMPONENTS
• Trend Line — Moving average with slope-based coloring
• Green = Rising trend
• Red = Falling trend
• Purple = Neutral (if color by direction disabled)
SIGNAL MARKERS
• Triangle Up + "Long" — Standard long signal
• Triangle Down + "Short" — Standard short signal
• Label Up + "P.Long" — Premium long signal
• Label Down + "P.Short" — Premium short signal
CROSS MARKERS
• Small triangles appear when price crosses the inner or outer bands
• Up triangles = Price crossing above band
• Down triangles = Price crossing below band
BAR COLORING
• Teal bars = Price above the zone (bullish territory)
• Pink bars = Price below the zone (bearish territory)
• Purple bars = Price inside the zone (transitional)
█ CONFIGURABLE SETTINGS
┌────────────────────────────────────────────────────────────
│ GENERAL SETTINGS
├────────────────────────────────────────────────────────────
│ Confirmed Signals Only (Default: ON)
│ • When enabled, signals wait for bar close before triggering
│ • Prevents repainting on live bars
│ • Recommended: Keep ON for live trading
│
│ Display Standard Signals (Default: ON)
│ • Show/hide basic trend-change signals
│
│ Display Premium Signals (Default: ON)
│ • Show/hide confluence-based signals
│
│ Tint Price Bars (Default: ON)
│ • Color bars based on position relative to zone
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ MOMENTUM ZONE SETTINGS
├────────────────────────────────────────────────────────────
│ Fast ATR Length (Default: 10)
│ • Lookback period for inner band's ATR calculation
│ • Lower = More reactive to recent volatility
│ • Higher = Smoother, less reactive
│
│ Fast Band Factor (Default: 3.0)
│ • Multiplier for inner band distance from price
│ • Lower = Tighter band, more signals
│ • Higher = Wider band, fewer signals
│
│ Slow ATR Length (Default: 10)
│ • Lookback period for outer band's ATR calculation
│
│ Slow Band Factor (Default: 6.0)
│ • Multiplier for outer band distance from price
│ • Should be larger than Fast Band Factor
│ • Creates the width of the momentum zone
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ TREND FILTER SETTINGS
├────────────────────────────────────────────────────────────
│ Display Trend Line (Default: ON)
│ • Show/hide the moving average line
│
│ Resolution (Default: Chart Timeframe)
│ • Timeframe for MA calculation
│ • Leave blank to use current chart timeframe
│ • Set higher timeframe for broader trend alignment
│
│ Lookback Period (Default: 20)
│ • Moving average period length
│ • Lower = Faster, more signals
│ • Higher = Slower, fewer signals
│
│ Calculation Method (Default: SMA)
│ • Choose from 13 MA types
│ • HMA and TEMA are faster/more responsive
│ • SMA and TMA are slower/smoother
│
│ Direction Smoothing (Default: 2)
│ • Bars to look back for slope comparison
│ • Higher values reduce false direction changes
│ • Range: 1-10
│
│ Color By Direction (Default: ON)
│ • Color the trend line based on its slope
└────────────────────────────────────────────────────────────
┌────────────────────────────────────────────────────────────
│ VISUAL SETTINGS
├────────────────────────────────────────────────────────────
│ Bullish Color — Color for bullish elements (default: green)
│ Bearish Color — Color for bearish elements (default: red)
│ Neutral Color — Color for neutral/transitional states
│ Zone Fill — Opacity for the momentum zone fill
└────────────────────────────────────────────────────────────
█ ALERTS
This indicator includes five configurable alerts:
① STANDARD LONG
Triggers on basic bullish trend change signal
② STANDARD SHORT
Triggers on basic bearish trend change signal
③ PREMIUM LONG
Triggers on high-confluence bullish signal
④ PREMIUM SHORT
Triggers on high-confluence bearish signal
⑤ ANY SIGNAL
Triggers on any of the above conditions
To enable alerts:
1. Right-click on the indicator → "Add Alert"
2. Select the condition you want to be alerted on
3. Configure notification method (popup, email, webhook, etc.)
█ RECOMMENDED USAGE
TIMEFRAME
• Works on any timeframe
• Lower timeframes (1m-15m) generate more signals
• Higher timeframes (1H-Daily) generate fewer, higher-quality signals
BEST PRACTICES
• Keep "Confirmed Signals Only" enabled for live trading
• Premium signals typically offer better risk/reward than Standard
• Use zone position as context—bullish setups above zone, bearish below
• Consider higher timeframe resolution for trend filter to align with broader trend
• Combine with support/resistance or supply/demand for complete trade plans
INTERPRETATION TIPS
• Wide zones suggest increased volatility
• Narrow zones suggest consolidation
• Cross markers at bands can serve as early warnings of regime changes
• Bar colors provide quick visual reference of market position
█ SIGNAL QUALITY GUIDE
┌─────────────────┬────────────────────────────────────────┐
│ HIGHEST QUALITY │ Premium signal + Price clearly │
│ │ positioned on correct side of zone │
├─────────────────┼────────────────────────────────────────┤
│ GOOD QUALITY │ Premium signal + Price inside zone │
├─────────────────┼────────────────────────────────────────┤
│ MODERATE │ Standard signal + Price on correct │
│ │ side of zone │
├─────────────────┼────────────────────────────────────────┤
│ LOWER QUALITY │ Standard signal + Price on wrong │
│ │ side or inside zone │
└─────────────────┴────────────────────────────────────────┘
█ Final Note
This Indicator was designed specifically for the ATR cloud and the levels it provides. The buy and sell signals are a byproduct of development but more of a secondary feature. This product is published so you can take advantage of the proprietary calculations we used to make our own ATR cloud that provides excellent areas of support and resistance.
PLEASE NOTE: The "EDGE MTF ATR Bias Matrix" study that supplies the table notifying you of support and resistance is made through these ATR calculations and would pair perfectly with this study.
█ DISCLAIMER
This indicator is provided for educational and informational purposes only. It is not financial advice and should not be construed as a recommendation to buy or sell any financial instrument.
The signals generated by this indicator are based on technical analysis calculations and do not guarantee any specific outcome. Always conduct your own analysis and use proper risk management.
Daily High/Low Breakout Strategy v2Long and Short trade signal strategy, connects via API key to any exchange, can be used as an indicator. Based on the break of maximum and minimum levels. preferred timeframe 5 minutes.
PFA_PahadiPFA Pahadi Indicator
Market Structure through Swing Triangles
What is the PFA Pahadi Indicator?
The **PFA Pahadi Indicator** is a *price-structure visualization tool* that converts raw market movement into a series of **connected swing triangles**. By linking **Pivot Low → Pivot High → Pivot Low** and additionally connecting the **bases (Low → Low)**, the indicator visually resembles a *mountain (pahadi) range*—hence the name.
It focuses purely on **market structure**, not prediction, helping traders and analysts understand how price is *actually climbing, resting, and declining* over time.
Key Benefits
• Clear Market Structure
The indicator highlights **higher highs, higher lows, lower highs, and lower lows** in a clean, uncluttered way, making trend identification intuitive even on higher timeframes.
• Noise Reduction
By relying only on **confirmed pivots**, minor fluctuations are filtered out. This helps traders avoid reacting to short-term volatility and focus on meaningful swings.
• Visual Trend Strength Assessment
The *slope and shape* of the triangles reveal whether the trend is:
* Expanding (strong trend)
* Contracting (distribution / accumulation)
* Flattening (range / base building)
• Excellent for Positional & Swing Trading
Works particularly well on **weekly and daily charts**, where price structure matters more than intraday noise.
• No Repainting
All lines are drawn only after pivot confirmation. Once plotted, the structure does **not change retroactively**, ensuring analytical integrity.
• Complements Moving Averages & Volume
When combined with long-term averages or volume trends, the PFA Pahadi Indicator helps identify:
* Healthy pullbacks
* Structural breakdowns
* Failed rallies
Practical Use-Cases
• Trend Continuation Analysis
Higher base lines (Low → Low) indicate sustained accumulation and trend continuation.
• Structural Weakness Detection
Flattening or declining bases despite new highs may indicate **distribution** or **trend exhaustion**.
• Long-Term Support Mapping
The connected bases often act as *dynamic structural support zones* rather than exact price levels.
Limitations
• Not a Timing Indicator
The PFA Pahadi Indicator does **not provide entry or exit signals** on its own. It is a *context tool*, not a trigger.
• Lag Due to Confirmation
Because pivots require confirmation, the structure appears **after the move has occurred**. This is intentional for accuracy but unsuitable for scalping.
• Sensitive to Pivot Length Settings
Short pivot lengths may create too many triangles; longer lengths may miss smaller but tradable swings.
• Works Best in Trending Markets
In sideways or choppy conditions, the structure may appear flat and less informative.
Disclaimer
The PFA Pahadi Indicator is a market structure visualization tool and does not constitute investment advice, trading recommendations, or a guarantee of future performance. It is designed for educational and analytical purposes only.
All market decisions should be taken in conjunction with other tools such as volume analysis, risk management rules, broader market context, and individual financial suitability. Past price structures do not ensure future outcomes. Users are advised to validate the indicator across multiple securities and timeframes before applying it in live trading.
Philosophy Behind the Name
Markets don’t move in straight lines. They climb, pause, retrace, and climb again—just like a pahadi path. This indicator simply helps you see that path clearly.
Box Indicator - Auto Draw Previous Day's - High / Midline / LowThis indicator draws a box around the previous day’s high and low, calculates the midline, and displays them on the current day’s chart. It helps visualize key support/resistance levels from the prior trading day.
This script gives you a static reference box from the prior day’s trading range, including a midpoint. It’s useful for spotting potential reversal zones, breakout levels, or intraday targets based on yesterday’s price action.
Dragon Smart Timing (Trend Analysis)Introduction Dragon Smart Timing is a comprehensive "Clean Chart" trading system designed for trend followers who prefer a minimalist workspace. Instead of cluttering your chart with multiple moving averages and noisy signals, this indicator consolidates complex market data into a sleek, real-time Neon Dashboard.
The system identifies high-probability Pullback Entries within a strong trend and includes a built-in Trade Management Assistant to help you decide when to Hold, Take Profit, or Stop Loss.
1. 🛠 How It Works (The 4-Pillar Logic) The system scans for a specific "Confluence" of 4 conditions. An "Entry Now" signal is triggered only when ALL of the following are met:
Trend Filter (The Safety Guard): Price must be ABOVE the EMA 200. This ensures you only trade in the direction of the long-term trend, avoiding counter-trend risks.
Momentum Alignment: Short-term trends must be healthy (EMA 21 > EMA 50 > EMA 100).
Smart Pullback (RSI): RSI (14) must dip into the "Golden Zone" (40 - 55) and bounce upward. We buy the dip, not the top.
Volume Confirmation: Validates the move with a Volume Spike (> 1.5x Average Volume).
2. 🤖 Trade Management Assistant Unlike standard indicators that leave you guessing after the entry, Dragon Smart Timing tracks the trade for you:
🐲 Entry Now: Signal to open a long position.
✊ Holding...: The system recognizes an active trade and monitors price action.
💰 Take Profit: Triggered when the price closes below the EMA 21, signaling momentum weakness.
🛑 Stop Loss: Triggered if the price drops 7% below your entry price to protect capital.
3. 🖥 The Neon Dashboard
Trend: Displays "Strong Up", "Aligned", or "Below EMA200".
RSI / Vol: Shows real-time values without clutter.
Action: The most important row. It lights up in Neon Green (Entry), Orange (Take Profit), or Red (Stop Loss).
⚙️ Settings
Trend Filter: Adjustable EMA 200 (Turn it into EMA 89 or 100 depending on your style).
Dashboard: Fully customizable position (Top/Bottom/Center) and size to fit your screen.
Risk Parameters: Adjustable Stop Loss % and Volume Multipliers.
⚠️ Risk Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves a high degree of risk. Past performance is not indicative of future results.
True Three Soldiers Method (TTSM) - Breakout ConfirmationIndicator Overview
True Three Soldiers Method (TTSM) - Made in China is a quantifiable evolution beyond traditional candlestick pattern recognition. It replaces subjective visual analysis with an objective, data-driven momentum system featuring smart breakout confirmation.
Core Innovation: Beyond Traditional Pattern Recognition
Traditional three-soldier patterns merely check for three consecutive bullish/bearish candles. TTSM goes much deeper:
Dual Signal System: It identifies both single-candle and three-candle momentum signals, providing earlier warnings of potential trend changes.
Quantifiable Strength Metrics: Each signal must meet customizable thresholds for both absolute price movement (percentage change) and relative efficiency (close-to-open distance relative to total range).
Breakout Confirmation Logic: The real innovation lies in the "True Signal" mechanism. Preliminary signals are tracked, and only when price breaks above the highest high of recent bullish signals (or below the lowest low of recent bearish signals) does it trigger a confirmed entry signal. This eliminates false breakouts and ensures you're trading with confirmed momentum.
Absolute Strength: Quantifies momentum via percentage price change.
Relative Strength: Measures candlestick efficiency (close-to-open vs. total range).
True Signal Validation: A "True" entry signal triggers only after price confirms momentum by breaking above/below a cluster of recent preliminary signals, filtering out false moves.
Dual-Layer Signal System
Key Features
🔴 Amber Signals (Preparation): Single-candle or three-candle patterns that meet strength criteria. These indicate potential momentum building and can be used for preparation or light positioning.
🟢 Green Signals (True Breakout): Triggered only when price breaks above/below the recent signal cluster extremes. These represent confirmed momentum and are ideal for main entries.
🎚 Fully Customizable: Every parameter—absolute/relative strength thresholds, lookback periods, and average calculations—can be adjusted to match your trading style and market conditions.
📊 Clear Visual Feedback: Color-coded labels and reference lines make signal identification instant and intuitive.
Parameter Customization Guide
All parameters are organized in intuitive groups:
Strength Thresholds: Adjust absolute (%) and relative (%) strength requirements for both long and short signals.
First Signal Thresholds: Special thresholds for when a signal is the first in the lookback period.
Lookback & Averages: Control how many bars are considered for signal tracking and moving averages.
Strategic Application
Preparation Signals: Use amber signals to prepare for potential moves, set alerts, or enter with smaller positions.
True Signals: Green/red "True" signals indicate confirmed momentum—ideal for main entries with proper risk management.
Combination Strategy: Pair TTSM with trend indicators (like Supertrend) for higher probability trades—only take True Signals in the direction of the main trend.
MARAL - Ultra Filtered Execution Master EngineMARAL — Super Premium Execution Intelligence
Ultra-Filtered Master Engine + Signals + Entry Checklist + Live Execution Board
What “MARAL” Means
MARAL = Market Awareness + Risk Alignment + Action Logic
Built to align context → risk → decision clearly on the chart.
________________________________________
What MARAL
MARAL is a super-premium TradingView framework that provides:
• ✅ Sharp Buy/Sell signals
• ✅ Pre-entry permission using a visual checklist
• ✅ Post-entry trade management guidance via a live execution board
• ✅ Probability/score readability to support decisions under pressure
Most indicators stop at: “Buy/Sell.”
MARAL goes further: “Should I take it? Should I stay? Should I protect? Should I partially exit? Should I exit?”
________________________________________
Built From Real Trading (Loss → Discipline → System)
MARAL was developed from 3–4 years of live market study, including my own losses and wins.
It’s built for real execution reliability, not “perfect marketing backtests.”
________________________________________
Why MARAL Is Super Premium
Retail traders don’t fail only because of entries. They fail because of execution mistakes:
• entering without context (bias/structure/volatility mismatch)
• trading inside chop/range repeatedly
• holding losers + cutting winners (emotion exits)
• no partial-profit structure
• revenge trading
• late entries/late exits in overextended moves
MARAL is designed to reduce these execution errors with a structured workflow.
________________________________________
MARAL Architecture & “8-Layer” Intelligence
Many premium tools give 1–3 layers (signals + a couple confirmations).
MARAL is built as a multi-layer execution framework (~8 layers):
1. Signal Layer (Buy/Sell triggers)
2. Higher-Timeframe Bias Layer (directional alignment)
3. Structure Layer (bull/bear structure context)
4. Momentum Layer (RSI + Ultra-Filtered RSI confirmation)
5. Volatility Layer (ATR% tradability)
6. Trend-Strength Layer (ADX environment)
7. Scoring & Probability Layer (Long/Short score + trend vs reversal pressure)
8. Execution Layer (post-entry board: hold/protect/partial exit/exit)
This is why MARAL behaves like an execution intelligence system, not just an arrow tool.
________________________________________
Panel 1 — Ultra-Filtered Master Engine (The Brain)
The Ultra-Filtered Master Engine powers MARAL’s signals + context + scoring.
It continuously evaluates:
• Multi-timeframe bias agreement
• Structure confirmation
• Momentum quality (noise-filtered)
• Volatility & trend strength (tradability)
• Score & probability readability (trend vs reversal pressure)
Result: signals + context, not blind arrows.
________________________________________
Panel 2 — Entry Checklist (Pre-Entry Permission — No Signal Blocking)
Instead of hiding signals, MARAL shows a permission checklist that evaluates context and displays:
ENTRY / WAIT / SKIP
✅ Signals remain visible
✅ Reduces impulsive trades
✅ Trader stays in control
________________________________________
Panel 3 — Execution Board (Post-Entry Decision Support — Premium Edge)
A live execution board guides management decisions:
• Trade Status
• Market Phase (trend/range awareness)
• TP Probability
• Obstacle Ahead (nearby friction/risk)
• Exit Pressure
• Structure State
• Momentum Health
• Score Trend
• Risk State (includes Overextended)
• Trade Age
• Action: Hold / Protect / Partial Exit / Exit / Wait
________________________________________
Where MARAL Works (Clear & Honest)
MARAL is designed for liquid, directional instruments:
✅ Crypto: BTC/ETH + major liquid pairs
✅ Forex: major pairs
✅ Gold: XAUUSD
✅ Indices: major global indices
________________________________________
Important Note for Options Traders — Please Read Before Buying
MARAL is NOT recommended for options premium trading (especially short-dated/OTM), because option pricing is strongly affected by IV, Theta decay, Gamma, spreads, and expiry behavior.
Even if the underlying chart direction is correct, options can lose due to IV crush / time decay. Options require an options-specific model.
If your main trading is options buying/selling, please do not purchase.
________________________________________
MARAL in One Screenshot: How the System Thinks (XAUUSD Example).. Live chart examples and screenshots i will share TradingView posts for the below below example.
MARAL is not a “BUY/SELL arrow” indicator.
It is an Execution Intelligence Engine that gives you:
1. Direction (Bias)
2. Permission (Score + Filters)
3. Execution Guidance (Hold / Exit / Wait)
This is exactly why MARAL is premium: it tells you when to trade and when NOT to trade.
________________________________________
1) Direction Engine: Multi-Timeframe Bias (Trade ONLY with the flow)
In your screenshot, the info panel clearly shows:
• Last Signal: LONG
• Direction: Bullish
• H1 Bias: Bullish
• H4 Bias: Bullish
• Daily Bias: Bullish
• Structure: Bull Struct
✅ Meaning: MARAL is not randomly buying. It first confirms the market is aligned across timeframes, then it allows only LONG execution logic.
This alone filters out a huge number of low-quality trades.
________________________________________
2) Strength & Volatility Filter: “Is the move healthy or dangerous?”
From the same panel:
✅ Meaning: MARAL is measuring whether the move has real trend strength, not just “green candles”.
________________________________________
3) Score Engine: MARAL enters only when confirmations stack
This is the core premium layer:
✅ Meaning:
• MARAL gives a high-quality Long rating
• And it explicitly blocks shorts (“No-Trade”) even if a candle looks tempting.
So buyers understand: MARAL doesn’t overtrade. It filters.
________________________________________
4) Execution Board: The “Professional Dashboard” (why this is premium)
Your left panel says:
• TRADE STATUS: ✅ VALID
• MARKET PHASE: CONTINUATION
• TP PROBABILITY: HIGH
• OBSTACLE AHEAD: NO
• EXIT PRESSURE: LOW
• STRUCTURE: Bull Struct
• MOMENTUM HEALTH: STRONG
• RISK STATE: NORMAL
• ACTION: HOLD
✅ Meaning (simple for buyers):
MARAL is telling you:
“This is a continuation long. Probability is high. Risk is normal. Don’t panic. Hold the position.”
This is what most indicators never do. They give a signal and disappear.
MARAL stays with the trade and guides execution.
________________________________________
5) Signals on the chart: Why multiple BUY labels appear
You can see multiple BUY labels during the uptrend.
That is not “spam signals”. It’s continuation entries:
• After trend confirmation,
• MARAL allows re-entries/pyramiding opportunities only when the filters stay valid.
So the buyer sees:
✅ one system catching an entire move, not just one random entry.
________________________________________
6) The “WAIT” feature (this is a super-premium selling point)
On the right panel (Entry Checklist) you have:
• SETUP: WAIT
• ENTRY PERMISSION: WAIT
✅ Meaning:
Even in a bullish market, MARAL will say WAIT when conditions are not perfect (chop / uncertainty / missing confirmation).
This is the premium story:
“MARAL is not just signals. It tells you when NOT to trade.”
That prevents:
• revenge trades
• overtrading
• entries in messy candles after a spike
Pricing & Early Access (First 100 Users Only)
Special early access pricing applies only for the first 100 users.
After 100 users, pricing will increase.
Early Access Pricing (First 100 Users):
• Monthly: $99
• Quarterly: $249
• Annual: $899
Lifetime Plan (Limited):
• $7500 USD — only 3 seats total (once sold out, lifetime will be closed permanently)
________________________________________
How to Buy
✅ Purchase, Access & Support
📌 Payment & Access
MARAL is an invite-only premium indicator. Access is granted via direct approval.
MARAL is a premium Trading View indicator with manual access control.
To purchase MARAL, please email us first with your Trading View username.
Payment instructions will be shared by email based on your country.
📧 Email: ksharish0468@gmail.com
Access Delivery
Invite-only TradingView access will be granted within 12–24 hours after verification.
A full user manual will be provided along with activation . One Trading View username per purchase.
Support
For technical doubts/support: ksharish0468@gmail.com
Response time: within maximum 12 hours.
Updates
MARAL will be updated with new features over time.
You will receive email notifications if when updates are released.
________________________________________
Terms & Conditions
By purchasing, accessing, or using MARAL, you agree:
1) Nature of Product / No Financial Advice
• MARAL is a decision-support indicator for discretionary traders.
• It is not financial advice, not a recommendation, and not a guarantee of results.
2) No Guarantees / User Responsibility
• Trading involves risk and may result in losses.
• You are solely responsible for entries, exits, position sizing, and risk management.
• Examples shown in screenshots are illustrative and not a promise of performance.
3) License & Access
• Access is licensed to one TradingView account (single user).
• The license is non-transferable unless explicitly approved in writing.
• Access is provided via TradingView invite-only / protected script mechanism.
4) Strict Anti-Piracy / Prohibited Use
You may NOT:
• share access, resell access, or provide it to anyone else
• copy, replicate, reverse engineer, decompile, or attempt to recreate the indicator logic
• publish “clone” indicators derived from MARAL’s workflow
• distribute screenshots/videos intended to reveal proprietary logic or reproduce the system
• use group-sharing, “signal forwarding,” or shared accounts
Violation may result in:
✅ immediate access termination without refund
✅ permanent ban from future access
5) Service Availability / Platform Dependency
• Functionality depends on TradingView uptime, data feeds, Pine limitations, and symbol differences.
• Temporary issues can occur due to platform updates or broker feed variance.
6) Updates / Changes
• Features may be improved, refined, added, or adjusted over time.
• Visual layout may change while preserving core framework.
7) Refund Policy (Digital Access Standard)
• Because this is a digital product with immediate access, refunds are generally not available after access is granted.
• Refund requests due to trading losses, profitability, or user execution choices are not eligible.
• Exceptional cases (duplicate payment / access failure) must be reported within 48 hours for review.
8) Limitation of Liability
• The creator is not liable for trading losses, missed entries, data feed discrepancies, platform downtime, or indirect damages.
• Use is at your own risk.
________________________________________
Disclaimer
MARAL does not guarantee profits. Trade responsibly.
________________________________________
SectorRotationRadar ProThe Sector Rotation Radar is a powerful visual analysis tool designed to track the relative strength and momentum of a stock compared to a benchmark index and its associated sector ETF. It helps traders and investors identify where an asset stands within the broader market cycle and spot rotation patterns across sectors and timeframes.
🔧 Key Features:
Benchmark Comparison: Measures the relative performance (strength and momentum) of the current symbol against a chosen benchmark (default: SPX), highlighting over- or underperformance.
Automatic Sector Detection: Automatically links stocks to their relevant sector ETFs (e.g., XLK, XLF, XLU), based on an extensive internal symbol map.
Multi-Timeframe Analysis: Supports simultaneous comparison across the current, next, and even third-higher timeframes (e.g., Daily → Weekly → Monthly), providing a bigger-picture perspective of trend shifts.
Tail Visualization: Displays a "trail" of price behavior over time, visualizing how the asset has moved in terms of relative strength and momentum across a user-defined period.
Quadrant-Based Layout: The chart is divided into four dynamic main zones, each representing a phase in the strength/momentum cycle:
🔄 Improving: Gaining strength and momentum
🚀 Leading: High strength and high momentum — top performers
💤 Weakening: Losing momentum while still strong
🐢 Lagging: Low strength and low momentum — underperformers
Clean Chart Visualization:
Background grid with axis labels
Dynamic tails and data points for each symbol
Option to include the associated sector ETF for context
Descriptive labels showing exact strength/momentum values per point
⚙️ Customization Options:
Benchmark Selector: Choose any symbol to compare against (e.g., SPX, Nasdaq, custom index)
Start Date Control: Option to fix a historical start point or use the current data range
Trail Length: Set the number of previous data points to display
Additional Timeframes: Enable analysis of one or two higher timeframes beyond the current
Sector ETF Display: Toggle to show or hide the related sector ETF alongside the asset
📚 Technical Architecture:
The indicator relies on external modules for:
Statistical modeling
Relative strength and momentum calculations
Chart rendering and label drawing
These components work together to compute and display a dynamic, real-time map of asset performance over time.
🧠 Use Case:
Sector Rotation Radar is ideal for traders looking to:
Spot stocks or sectors rotating into strength or weakness
Confirm alignment across multiple timeframes
Identify sector leaders and laggards
Understand how a symbol is positioned relative to the broader market and its peers
This tool is especially valuable for swing traders, sector rotation strategies, and macro-aware investors who want a visual edge in decision-making.
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool
Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com.
🎯 Key Features:
• Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session
• SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable)
• Flexible Session Modes:
- Daily: Resets at calendar day change
- Session: Uses exchange-defined trading sessions
- Custom Session: Set your exact session start/end times (perfect for futures traders and international markets)
• Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting
• Repositionable Display - Choose from 9 screen positions to avoid chart clutter
• Session Markers - Green triangles mark the start of each new session
• Detailed Stats - View current range, ATR value, session high/low, and session status
💡 Why Use This Indicator?
This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners.
Benefits for regression traders:
- Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage)
- Avoid premature regression entries before adequate range has been established
- Recognize when daily moves have "earned their range" and are ripe for reversal
- Time fade-the-move and counter-trend strategies with statistical backing
- Improve win rates by trading only after proven probability thresholds are met
⚙️ Setup Instructions:
1. Add the indicator to your chart
2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets)
3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures)
4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds)
5. Position the display where it's most visible on your chart
📈 Works Across All Markets:
Stocks • Futures • Forex • Indices • Crypto • Commodities
Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range."
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Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
[AlscapeLabs] HTF Candle Stack (Multi-Timeframe)
Overview
The HTF Candle Stack (Multi-TF) indicator is a powerful visualization tool designed to overlay high-timeframe (HTF) price action directly onto your current chart, independent of the chart's price scale. This gives traders a clear, aligned, and non-overlapping view of simultaneous price movements across customizable timeframes.
By stacking the candles horizontally next to the chart's price action, the indicator allows for quick identification of multi-timeframe correlation, trend confluence, and key levels without switching chart timeframes.
Key Features
6 Independent Stacks: Configure up to 6 separate timeframes (e.g., 5m, 15m, 1H, 4H, Daily, Weekly) to view the complete market fractals from micro to macro.
Price-Aligned Visualization : All HTF candle stacks are perfectly aligned with the main chart's vertical price axis
Replay Mode Safe : Includes dedicated logic to prevent "duplicate candles" during Bar Replay, ensuring accurate backtesting and historical analysis.
Toggleable Stacks : Each stack can be individually enabled or disabled via input settings
Dynamic Spacing : The distance between active stacks is automatically calculated and adjusted based on the visibility of the preceding stack.
Settings Guide
Stack Configuration (1 - 6)
Each of the six stacks has identical controls:
Show/Hide : Enable or disable this specific stack.
Timeframe : The specific HTF to display (e.g., "60" for 1 Hour, "D" for Daily).
[*} Count : How many candles to show in this stack (Current Active Candle + Past Closed Candles). Tip: Use higher counts (10-12) for lower TFs (Stack 1-2) and lower counts (2-4) for higher TFs (Stack 5-6)
Candle Color
Controls global coloring
Bullish / Bearish : Customize the body colors.
Wick : Separate control for wick color and transparency
Layout
Distance from Chart : How far (in bars) to the right the first stack begins
Space between Stacks : The gap (in bars) between each active stack.
Candle Width : The thickness of the HTF candles.
Labels
Displays a time-frame next to the active (live) candle in each stack
Show TF Labels : Enable or disable labels through all stacks
Text Color : Label text color
Background : Label background color
Style : Label position (Left, Down)
Size : Label text size (Tiny, Small, Normal, Large, Huge)
Developed by AlscapeLabs
X-Trend Macro Command CenterX-Trend Macro Command Center (MCC) | Institutional Grade Dashboard
📝 Description Body
The Invisible Engine of the Market Revealed.
Traders often focus solely on Price Action, ignoring the massive underwater currents that actually drive trends: Global Liquidity, Inflation, and Central Bank Policy. We created X-Trend Macro Command Center (MCC) to solve this problem.
This is not just an indicator. It is a fundamental heads-up display that bridges the gap between technical charts and macroeconomic reality.
💡 The Idea & Philosophy
Markets don't move in a vacuum. Bull runs are fueled by M2 Money Supply expansion and negative real yields. Crashes are triggered by liquidity crunches and aggressive rate hikes. X-Trend MCC was built to give retail traders the same "Macro Awareness" that institutional desks possess. It aggregates fragmented economic data from Federal Reserve databases (FRED) directly onto your chart in real-time.
🚀 Application & Logic
This tool is designed for Trend Traders, Crypto Investors, and Macro Analysts.
Identify the Regime: Instantly see if the environment is "RISK ON" (High Liquidity, Low Real Rates) or "RISK OFF" (Monetary Tightening).
Validate the Trend: Don't buy the dip if Liquidity (M2) is crashing. Don't short the rally if Real Yields are negative.
Multi-Region Analysis: Switch instantly between economic powerhouses (US, China, Japan) to see where the capital is flowing.
📊 Dashboard Metrics Explained
Every row in the Command Center tells a specific story about the economy:
Interest Rate: The "Gravity" of finance. Higher rates weigh down risk assets (Stocks/Crypto).
Inflation (YoY): The erosion of purchasing power. We calculate this dynamically based on CPI data.
Real Yield (The "Golden" Metric): Calculated as Interest Rate - Inflation.
Green: Real Yield is low/negative. Cash is trash, assets fly.
Red: Real Yield is high. Cash is King, assets struggle.
US Debt & GDP: Fiscal health indicators formatted in Trillions ($T). Watch the Debt-to-GDP ratio—if it spikes >120%, expect currency debasement.
M2 Money Supply: The fuel tank of the market. Tracks the total amount of money in circulation.
↗ Trend: Liquidity is entering the system (Bullish).
↘ Trend: Liquidity is drying up (Bearish).
🧩 The X-Trend Ecosystem
X-Trend MCC is just the tip of the iceberg. This module is part of the larger X-Trend Project — a comprehensive suite of algorithmic tools being developed to quantify market chaos. While our Price Action algorithms (Lite/Pro/Ultra) handle the Micro, the MCC handles the Macro.
Technical Note:
Data Sources: Direct connection to FRED (Federal Reserve Economic Data).
Zero Repainting: Historical data is requested strictly using closed bars to ensure accuracy.
Open Source: We believe in transparency. The code is open for study under MPL 2.0.
Build by Dev0880 | X-Trend © 2025
