Trend Score Stop Loss Trend Score Indicator Guide
This indicator is designed for futures trading during RTH (Regular Trading Hours, 9:30–16:00 NY time). It’s an all-in-one bull/bear trend system with built-in stop loss logic — simple, objective, and always active.
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🔹 How Trend Score Works
• The trend score is calculated only during RTH and resets at the start of each new session.
• Each candle contributes to the score as follows:
• ✅ Breaks previous high → +1
• ❌ Breaks previous low → –1
• ⚖️ Breaks both high and low → 0 (–1 + 1 cancel out)
• 💤 Breaks neither high nor low → 0
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🔹 Determining the First Trend
• The first valid session trend is established when the cumulative score hits +3 or –3.
• +3 → Start of a Bull Trend
• –3 → Start of a Bear Trend
⚠️ Note: The indicator requires at least 3 candles to generate the first +3/–3 sequence.
👉 This means the first 3 minutes of the open (9:30–9:33) are ignored — a natural filter that avoids the most volatile/noisy part of the day.
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🔹 Stop Loss vs. Trend Change
These are two separate events:
• Stop Loss
• A stop level is drawn at the candle that initiated the +3 or –3 trigger.
• This line is only a visual suggestion — it does not force an exit.
• Real-world stop placement depends on your own discretion, factoring in position size, volatility, and strategy.
• Hitting this level does not automatically mean the trend is over.
• Trend Change
• The trend only reverses when the opposite direction accumulates 3 points.
• Example: In a Bull trend, the system flips to Bear only when a –3 sequence occurs (and vice versa).
• A trend change can happen before or without the stop loss ever being hit.
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🔹 Key Features
• ✅ Active only during RTH (9:30–16:00 NY) — no overnight distortions.
• 🔄 Auto-reset daily at the start of each session.
• 🟢🔴 Always in a trend — continuously switches between Bull and Bear.
• 🛡️ Stop loss marked visually — but final risk management is trader’s choice.
• ⏳ Avoids first 3 minutes of open — naturally filters volatility & false signals.
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✨ In short:
The Trend Score Indicator transforms simple high/low breaks into a rule-based trend framework. You’ll always know if the market is in a bull or bear phase, where the suggested stop loss lies, and when a true trend reversal occurs — while still leaving risk management decisions in your hands.
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For better user experience:
Deselect danger score, delta per bar, slope m10, panel label in the style tap. These are used for the calculation purpose only.
You can also change your session time to 1800 to 1600, however it may not work well in ETH session.
Wskaźniki i strategie
AMD [TakingProphets]Overview
The AMD indicator is a real-time, high-resolution tool designed for traders following ICT methodology who want a clear visualization of higher timeframe (HTF) candles directly on their lower timeframe charts.
It overlays current HTF structure, including open, high, low, and close projections, allowing traders to align intraday decisions with institutional price delivery — all without switching timeframes.
Concept & Background
In ICT concepts, market behavior often follows a pattern of accumulation, manipulation, and distribution. Understanding these phases is essential for anticipating when price is likely to expand or reverse.
AMD automates this process by:
-Overlaying HTF candles directly on your lower timeframe chart.
-Projecting live levels like the current open, high, low, and close to map out evolving bias.
-Helping traders see whether price is accumulating orders, engineering liquidity sweeps, or distributing aggressively.
Key Features
Live HTF Candle Overlay
-Displays the full HTF candle — body, wicks, and directional bias — on your active chart in real time.
-Perfect for traders aligning intraday setups with broader HTF context.
Dynamic HTF Price Projections
-Plots the evolving open, high, low, and close for the current HTF candle.
-Each projection can be customized by color, style, labels, and visibility to fit your workflow.
Full Customization Control
-Adjust candle body widths, wick styles, and transparency.
-Configure projection lines and time labels in both 12h and 24h formats.
-Includes an optional Info Box showing instrument, timeframe, and session context.
Session Timing & Labeling
-Smart timestamping marks the start and close of each HTF candle.
-Helps traders anticipate potential expansions or reversals during killzones or liquidity events.
How to Use It
Select Your HTF Context
-Choose any timeframe overlay (e.g., 1H, 4H, 1D) to match your trading model.
-Monitor Live HTF Levels
-Watch how price interacts with current HTF highs, lows, and equilibrium levels in real time.
-Integrate With ICT Concepts
-Use alongside tools like SMT divergence, Order Blocks, or Liquidity Levels for confirmation and context.
-Refine Intraday Entries
-Check whether price is expanding in your favor before entering positions.
Best Practices
Combine AMD with ICT killzone sessions to monitor HTF behavior during high-liquidity periods.
Use it alongside correlated SMT divergence tools for stronger directional bias confirmation.
Who It’s For
Scalpers anchoring quick entries to HTF sentiment.
Intraday traders syncing 5m/15m setups with 1H/4H context.
Swing traders monitoring HTF ranges without switching charts.
Educators & analysts needing clean visual overlays for teaching and content creation.
Why It’s Useful
AMD doesn’t provide trading signals or predictive guarantees. Instead, it offers a clean, structured view of HTF price delivery — enabling traders to understand institutional intent as it unfolds and manage their execution with greater confidence.
SMA MAD SuperTrend | OquantThe SMA MAD SuperTrend | Oquant is an trend-following indicator designed to help traders identify potential trend directions and reversals using a unique combination of a Simple Moving Average (SMA), Mean Absolute Deviation (MAD), and a SuperTrend mechanism. This script aims to provide clear visual signals for trend entries and exits, making it suitable for traders looking to capture trends.
This indicator innovatively combines the smoothing properties of an SMA with the volatility-adaptive qualities of MAD to create dynamic SuperTrend bands. Unlike traditional SuperTrend indicators that rely on Average True Range (ATR) for volatility, this script uses Mean Absolute Deviation(MAD) to measure the average absolute deviation from the mean price, providing a different perspective on price volatility. The result is a SuperTrend system that adapts to market conditions with a focus on price deviation, offering a unique tool for trend detection.
Components and Calculations
Simple Moving Average (SMA):
The SMA is a widely used indicator that calculates the average of a specified number of closing prices. It smooths price data to identify the overall trend direction. In this script, the SMA serves as the baseline for calculating dynamic upper and lower bands.
Mean Absolute Deviation (MAD):
MAD measures the average absolute deviation of the price from its mean. It quantifies volatility by calculating how far prices deviate from the mean price, offering an alternative to ATR.
SuperTrend Mechanism:
This SuperTrend indicator generates dynamic upper and lower bands around the Simple Moving Average (SMA) using mean absolute deviation as measure of volatility.
It tracks trend direction by comparing the close price to the bands:
If the price crosses above the upper band, the trend turns bullish, and the SuperTrend follows the lower band.
If the price crosses below the lower band, the trend turns bearish, and the SuperTrend follows the upper band.
The bands adjust based on their previous values, updating only when the price crosses a band or the band shifts in the correct direction, reducing false signals and ensuring stable trend detection.
How to Use the Indicator
Trend Signals:
Green Line: Indicates a bullish trend (price above the SuperTrend line).
Purple Line: Indicates a bearish trend (price below the SuperTrend line).
Bar and Candle Coloring: Bars and candles are colored green for bullish trends and purple for bearish trends, making it easy to visualize trend direction.
Filled Areas: The area between the price and the SuperTrend line is filled with transparent colors (green for bullish, purple for bearish) to highlight trend.
Inputs:
Source: Choose the price data for calculations.
SMA Length: Adjust the period for the SMA. Longer periods smooth the trend further.
MAD Length: Set the period for MAD calculation. Shorter periods make the MAD more sensitive.
Factor: Control the distance of the SuperTrend bands from the SMA. Higher values widen the bands, reducing sensitivity to price fluctuations.
Alerts:
The script includes alert conditions for trend changes:
SMA MAD SuperTrend Long: Triggered when the trend turns bullish.
SMA MAD SuperTrend Short: Triggered when the trend turns bearish.
Set up alerts in TradingView to receive notifications for these conditions.
Why Use This Script?
The SMA MAD SuperTrend | Oquant offers a fresh take on trend-following by integrating SMA as baseline and MAD for volatility measurement, providing an alternative to ATR-based SuperTrend indicators. Its clear visual signals, customizable inputs, and alert conditions make it versatile for traders of all levels.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Adaptive Convergence Divergence### Adaptive Convergence Divergence (ACD)
By Gurjit Singh
The Adaptive Convergence Divergence (ACD) reimagines the classic MACD by replacing fixed moving averages with adaptive moving averages. Instead of a static smoothing factor, it dynamically adjusts sensitivity based on price momentum, relative strength, volatility, fractal roughness, or volume pressure. This makes the oscillator more responsive in trending markets while filtering noise in choppy ranges.
#### 📌 Key Features
1. Dual Adaptive Structure: The oscillator uses two adaptive moving averages to form its convergence-divergence line, with EMA/RMA as signal line:
* Primary Adaptive (MA): Fast line, reacts quickly to changes.
* Following Adaptive (FAMA): Slow line, with half-alpha smoothing for confirmation.
2. Adaptive MA Types
* ACMO: Adaptive CMO (momentum)
* ARSI: Adaptive RSI (relative strength)
* FRMA: Fractal Roughness (volatility + fractal dimension)
* VOLA: Volume adaptive (volume pressure)
3. PPO Option: Switch between classic MACD or Percentage Price Oscillator (PPO) style calculation.
4. Signal Smoothing: Choose between EMA or Wilder’s RMA.
5. Visuals: Colored oscillator, signal line, histogram with adaptive transparency.
6. Alerts: Bullish/Bearish crossovers built-in.
#### 🔑 How to Use
1. Add to chart: Works on any timeframe and asset.
2. Choose MA Type: Experiment with ACMO, ARSI, FRMA, or VOLA depending on market regime.
3. Crossovers:
* Bullish (🐂): Oscillator crosses above signal → potential long entry.
* Bearish (🐻): Oscillator crosses below signal → potential short entry.
4. Histogram: expansion = strengthening trend; contraction = weakening trend.
5. Divergences:
* Bullish (hidden strength): Price pushes lower, but ACD turns higher = potential upward reversal.
* Bearish (hidden weakness): Price pushes higher, but ACD turns lower = potential downward reversal.
6. Customize: Adjust lengths, smoothing type, and PPO/MACD mode to match your style.
7. Set Alerts:
* Enable Bullish or Bearish crossover alerts to catch momentum shifts in real time.
#### 💡 Tips
* PPO mode normalizes values across assets, useful for cross-asset analysis.
* Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions.
* Adaptive smoothing helps reduce false divergence signals by filtering noise in choppy ranges.
ECVD by bigmmThis indicator is designed for scalping and short-term trading, ideally used on 1-5 minute timeframes. It helps identify significant momentum shifts by tracking extreme volume imbalances between buying and selling pressure.
How It Works:
The indicator calculates cumulative volume delta (the difference between buying and selling volumes) on a 1-hour timeframe
It identifies the maximum and minimum delta values over the last 499 bars
When the current delta reaches or exceeds these extreme values (100% of the recent extremes), it draws horizontal lines on the chart
Red "Sell" lines appear when buying pressure reaches extreme levels
Green "Buy" lines appear when selling pressure reaches extreme levels
Trading Application:
On lower timeframes (1-5 min), these extreme readings often signal potential reversal points
The lines act as dynamic support/resistance levels where price may react
The indicator keeps only the 4 most recent lines (2 of each type) to avoid clutter
Traders can use these signals to anticipate short-term price movements and manage risk
Best Used For:
Scalping strategies on very short timeframes
Identifying potential reversal points after strong momentum moves
Confirming entry and exit points in conjunction with other indicators
Understanding when volume extremes might be exhausted
This tool works particularly well in combination with price action analysis and other momentum indicators for comprehensive trading decisions.
B A N K $ - Breaks & SweepsThis indicator automatically maps on Breaks of Structure & Liquidity Sweeps. It works by calculating pivot points based on how many candles are above/below either side of a pivot.
The user can manually set how many candles need to be above/below either side of a pivot if they would prefer to change it.
The indicator will dynamically adjust the lines as the user changes timeframe to allow for seamless analysis.
Features
Break of Structure lines
Liquidity Sweep lines
Dealing Range - this allows the user to visualise the current dealing range
Explanation
A sweep is determined by whether a candle closes through a pivot point with a body closure or not. If the candle wicks this level but fails to close through it, the line will turn red to indicate a liquidity sweep.
If the following 3 candles go on to close through the break line, this will then update it from a red sweep line to the normal break line again. (sometimes the initial candle that touches a level will not close through it but price will continue to break that level in the next few candles).
Support and Resistance levels from Options DataINTRODUCTION
This script is designed to visualize key support and resistance levels derived from options data on TradingView charts. It overlays lines, labels, and boxes to highlight levels such as Put Walls (gamma support), Call Walls (gamma resistance), Gamma Flip points, Vanna levels, and more.
These levels are intended to help traders identify potential areas of price magnetism, reversal, or breakout based on options market dynamics. All calculations and visualizations are based on user-provided data pasted into the input field, as Pine Script cannot directly fetch external options data due to platform limitations (explained below).
For convenience, my website allows users to interact with a bot that will generate the string for up to 30 tickers at once getting nearly real-time data on demand (data is cached for 15min). With the output string pasted into this indicator, it's a bliss to shuffle through your portfolio and see those levels for each ticker.
The script is open-source under TradingView's terms, allowing users to study, modify, and improve it. It draws inspiration from common options-derived metrics like gamma exposure and vanna, which are widely discussed in financial literature. No external code is copied without rights; all logic is original or based on standard mathematical formulas.
How the Options Levels Are Calculated
The levels displayed by this script are not computed within Pine Script itself—instead, they rely on pre-calculated values provided by the user (via a pasted data string). These values are derived from options chain data fetched from financial APIs (e.g., using libraries like yfinance in Python). Here's a step-by-step overview of how these levels are generally calculated externally before being input into the script:
Fetching Options Data:
Historical and current options chain data for a ticker (e.g., strikes, open interest, volume, implied volatility, expirations) is retrieved for near-term expirations (e.g., up to 90 days).
Current stock price is obtained from recent history.
Gamma Support (Put Wall) and Resistance (Call Wall):
Gamma Calculation: For each option, gamma (the rate of change of delta) is computed using the Black-Scholes formula:
gamma = N'(d1) / (S * sigma * sqrt(T))
where S is the stock price, K is the strike, T is time to expiration (in years), sigma is implied volatility, r is the risk-free rate (e.g., 0.0445), and N'(d1) is the normal probability density function.
Weighted gamma is multiplied by open interest and aggregated by strike.
The Put Wall is the strike below the current price with the highest weighted gamma from puts (acting as support).
The Call Wall is the strike above the current price with the highest weighted gamma from calls (acting as resistance).
Short-term versions focus on strikes closer to the money (e.g., within 10-15% of the price).
Gamma Flip Level:
Net dealer gamma exposure (GEX) is calculated across all strikes:
GEX = sum (gamma * OI * 100 * S^2 * sign * decay)
where sign is +1 for calls/-1 for puts, and decay is 1 / sqrt(T).
The flip point is the price where net GEX changes sign (from positive to negative or vice versa), interpolated between strikes.
Vanna Levels:
Vanna (sensitivity of delta to volatility) is calculated:
vanna = -N'(d1) * d2 / sigma
where d2 = d1 - sigma * sqrt(T).
Weighted by open interest, the highest positive and negative vanna strikes are identified.
Other Levels:
S1/R1: Significant strikes with high combined open interest and volume (80% OI + 20% volume), below/above price for support/resistance.
Implied Move: ATM implied volatility scaled by S * sigma * sqrt(d/365) (e.g., for 7 days).
Call/Put Ratio: Total call contracts divided by put contracts (OI + volume).
IV Percentage: Average ATM implied volatility.
Options Activity Level: Average contracts per unique strike, binned into levels (0-4).
Stop Loss: Dynamically set below the lowest support (e.g., Put Wall, Gamma Flip), adjusted by IV (tighter in low IV).
Fib Target: 1.618 extension from Put Wall to Call Wall range.
Previous day levels are stored for comparison (e.g., to detect Call Wall movement >2.5% for alerts).
Effect as Support and Resistance in Technical Trading
Options levels like gamma walls influence price action due to market maker hedging:
Put Wall (Gamma Support): High put gamma below price creates a "magnet" effect—market makers buy stock as price falls, providing support. Traders might look for bounces here as entry points for longs.
Call Wall (Gamma Resistance): High call gamma above price leads to selling pressure from hedging, acting as resistance. Rejections here could signal trims, sells or even shorts.
Gamma Flip: Where gamma exposure flips sign, often a volatility pivot—crossing it can accelerate moves (bullish above, bearish below).
Vanna Levels: Positive/negative vanna indicate volatility sensitivity; crosses may signal regime shifts.
Implied Move: Shows expected range; prices outside suggest overextension.
S1/R1 and Fib Target: Volume/OI clusters act as classic S/R; Fib extensions project upside targets post-breakout.
In trading, these are not guarantees—combine with TA (e.g., volume, trends). High activity levels imply stronger effects; low CP ratio suggests bearish sentiment. Alerts trigger on proximities/crosses for awareness, not advice.
Limitations of the TradingView Platform for Data Pulling
TradingView's Pine Script is sandboxed for security and performance:
No direct internet access or API calls (e.g., can't fetch yfinance data in-script).
Limited to chart data/symbol info; no real-time options chains.
Inputs are static per load; updates require manual pasting.
Caching isn't persistent across sessions.
This prevents dynamic data pulling, ensuring scripts remain lightweight but requiring external tools for fresh data.
Creative Solution for On-Demand Data Pulling
To overcome these limitations, users can use external tools or scripts (e.g., Python-based) to fetch and compute levels on demand. The tool processes tickers, generates a formatted string (e.g., "TICKER:level1,level2,...;TIMESTAMP:unix;"), and users paste it into the script's input. This keeps data fresh without violating platform rules, as computation happens off-platform. For example, run a local script to query APIs and output the string—adaptable for any ticker.
Script Functionality Breakdown
Inputs: Custom data string (parsed for levels/timestamp); toggles for short-term/previous/Vanna/stop loss; style options (colors, transparency).
Parsing: Extracts levels for the chart symbol; gets timestamp for "updated ago" display.
Drawing: Lines/labels for levels; boxes for gamma zones/implied move; clears old elements on updates.
Info Panel: Top-right summary with metrics (CP ratio, IV, distances, activity); emojis for quick status.
Alerts: Conditions for proximities, crosses, bounces (e.g., 0.5% bounce from Put Wall).
Performance: Uses vars for persistence; efficient for real-time.
This script is educational—test thoroughly. Not financial advice; past performance isn't indicative of future results. Feedback welcome via TradingView comments.
Dynamic 4 in 1Combined and made some modifications to the 4 existing indicators into 1 to save space. Credit to the original authors.
Indicator used
1. Pivot Point Standard by Tradingview (www.tradingview.com)
2. Colored EMA ()
3. ATH/TTL & 52WH/L with Candle Coloring by RV ()
4. HalfTrend ()
Volatility Forecast/*==============================================================================
Volatility Forecast — Publishable Documentation
Author: @BB_9791
License: Mozilla Public License 2.0
WHAT THIS INDICATOR SHOWS
- A daily volatility estimate in percent points, called sigma_day.
- A slow volatility anchor, the 10-year EMA of sigma_day.
- A blended volatility series in percent points:
sigma_blend = (1 − p) * sigma_day + p * EMA_10y(sigma_day)
where p is the Slow weight %, default 30.
- Optional annualization by multiplying by 16, this is a daily-to-annual
conversion used by Robert Carver in his writings.
METHODOLOGY, CREDIT
The estimator follows the approach popularized by Robert Carver
("Systematic Trading", "Advanced Futures Trading Strategies", blog qoppac).
Current daily volatility is computed as an exponentially weighted standard
deviation of daily percent returns, with alpha = 2 / (span + 1).
The slow leg is a long EMA of that volatility series, about 10 years.
The blend uses fixed weights. This keeps the slow leg meaningful through
large price level changes, since the blend is done in percent space first.
MATH DETAILS
Let r_t be daily percent return:
r_t = 100 * (Close_t / Close_{t−1} − 1)
EWMA mean and variance:
m_t = α * r_t + (1 − α) * m_{t−1}
v_t = α * (r_t − m_t)^2 + (1 − α) * v_{t−1}
where α = 2 / (span_current + 1)
Current daily sigma in percent points:
sigma_day = sqrt(v_t)
Slow leg:
sigma_10y = EMA(sigma_day, span_long)
Blend:
sigma_blend = (1 − p) * sigma_day + p * sigma_10y
Annualized option:
sigma_ann = 16 * sigma_blend
INPUTS
- Threshold (percent points): horizontal guide level on the chart.
- Short term span (days): EW stdev span for sigma_day.
- Long term span (days): EMA span for the slow leg, choose about 2500 for 10 years.
- Slow weight %: p in the blend.
- Annualize (x16): plot daily or annualized values.
- Show components: toggles Current and 10y EMA lines.
- The script uses the chart symbol by default.
PLOTS
- Blended σ% as the main line.
- Optional Current σ% and 10y EMA σ%.
- Editable horizontal threshold line in the same units as the plot
(percent points per day or per year).
- Optional EMA 9 and EMA 20 cloud on the blended series, green for uptrend
when EMA 9 is above EMA 20, red otherwise. Opacity is configurable.
HOW TO READ
- Values are percent points of movement per day when not annualized,
for example 1.2 means about 1.2% typical daily move.
- With annualize checked, values are percent points per year, for example 18
means about 18% annualized volatility.
- Use the threshold and the EMA cloud to mark high or low volatility regimes.
NOTES
- All calculations use daily data via request.security at the chart symbol.
- The blend is done in percent space, then optionally annualized, which avoids
bias from the price level.
- This script does not produce trading signals by itself, it is a risk and
regime indicator.
CREDITS
Volatility forecasting method and scaling convention credited to Robert Carver.
See his books and blog for background and parameter choices.
VERSION
v1.0 Initial public release.
==============================================================================*/
Volume Trend AnalysisStudy Material for Volume Trend Analysis Dashboard
1. Introduction
This script is a complete volume-based technical analysis dashboard designed in TradingView, created under the guidelines of TradingView and aiTrendview. It combines multiple indicators—Volume, RSI, Supertrend, Buy/Sell Pressure, and Momentum—into a single visual dashboard.
The purpose is education and market observation, not guaranteed profits. Students using this tool should focus on understanding patterns, signals, and probabilities rather than treating them as fixed rules.
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2. Core Components and Indicators
🔹 Volume Analysis
• Volume shows the number of shares/contracts traded in a specific period.
• The script compares today’s volume with historical averages (e.g., 20-day average).
• This helps identify whether trading activity is higher or lower than usual.
• Learning use: A student can track if high volume confirms a price breakout or if low volume suggests weak conviction.
• Combination:
o High price rise + High volume → Strong bullish move.
o Price rise + Low volume → Weak rally, may fail.
o Price fall + High volume → Strong selling pressure.
o Price fall + Low volume → Weak decline, may reverse.
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🔹 RSI (Relative Strength Index)
• RSI measures momentum (0–100 scale).
• Above 70 = Overbought (possible selling zone).
• Below 30 = Oversold (possible buying zone).
• Around 50 = Neutral, sideways market.
• Learning use: Combine with volume—RSI near extremes with high volume often marks turning points.
• Combination:
o RSI < 30 + High buy pressure volume = Strong bounce probability.
o RSI > 70 + High sell pressure volume = Risk of reversal downward.
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🔹 Supertrend
• Supertrend uses volatility (ATR) to show support/resistance bands.
• Price above = Bullish trend.
• Price below = Bearish trend.
• Learning use: New students can treat it as a dynamic stop-loss and trailing tool.
• Combination:
o Price > Supertrend + RSI > 50 + High buy volume = Safe bullish trend.
o Price < Supertrend + RSI < 50 + High sell volume = Safe bearish trend.
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🔹 Buy/Sell Pressure
• The indicator splits volume into buying vs. selling portions based on price action.
• Shows % of buying volume vs. selling volume.
• Learning use: Students can visualize whether bulls or bears are dominating.
• Combination:
o Buying > 65% → Bulls stronger.
o Selling > 65% → Bears stronger.
o Balanced → Market indecisive (range-bound).
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🔹 Momentum & Signal Status
• Momentum combines RSI and Supertrend to classify market as Bullish, Bearish, or Neutral.
• Buy/Sell signals are triggered on crossovers of price with Supertrend along with RSI conditions.
• Learning use: Beginners should not blindly trade these signals but track how often they succeed/fail under different market conditions.
• Combination:
o Bullish Momentum + Buy Signal + High Volume = Strong entry setup.
o Bearish Momentum + Sell Signal + High Volume = Strong short setup.
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🔹 Volume Pace
• Compares current intraday volume with expected average progress.
• Above pace = Traders active earlier than usual.
• Below pace = Weak interest in current session.
• Learning use: Beginners can track whether moves are backed by real activity or just price manipulation.
• Combination:
o Above pace + Bullish signals = Reliable rally.
o Below pace + Bullish signals = Weak rally, avoid.
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3. How to Use the Dashboard
• The dashboard consolidates all indicators into a simple table: Signals, Momentum, Position, Profit, Volume, Pressure, Levels, and Status.
• It helps beginners see different aspects of market condition at one glance.
• Instead of jumping between multiple charts, everything is available in one panel.
• Students can use this to practice observation, backtest signals, and record outcomes.
________________________________________
4. Educational Guidelines
1. Paper Trade First: Always test on virtual trading accounts before real money.
2. Record Outcomes: Note how each signal works in trending vs. sideways markets.
3. Combine with Chart Reading: This is not standalone—students must learn candlestick patterns, support/resistance, and fundamentals.
4. Avoid Overtrading: Just because a dashboard flashes “BUY” doesn’t mean to enter blindly.
5. Adapt Timeframes: Learn the difference between intraday vs. daily signals. Shorter timeframes = more noise.
________________________________________
5. Common Beginner Mistakes
• Blind Trading: Treating BUY/SELL signals as automatic entry/exit without analysis.
• Ignoring Volume: Not checking whether signals are backed by strong or weak volume.
• Overconfidence: Assuming 100% accuracy—no indicator is perfect.
• Misusing Alerts: Alerts help monitoring but don’t guarantee profitability.
________________________________________
6. Disclaimer
This indicator is created strictly for educational and learning purposes under TradingView and aiTrendview guidelines.
• It is not financial advice and should not be treated as a guaranteed profit-making tool.
• Past performance does not guarantee future results.
• Misuse of this indicator for blind speculation can result in financial loss.
• Always use it with proper risk management and independent judgment.
• For real trading decisions, consult a certified financial advisor.
________________________________________
✅ By studying this dashboard, students gain exposure to:
• How multiple indicators interact.
• How volume confirms or rejects price moves.
• How to build discipline by observing signals, not chasing them.
This makes the tool a training ground for market observation rather than a shortcut to quick profits.
Intrabar Volume Delta — RealTime + History (Stocks/Crypto/Forex)Intrabar Volume Delta Grid — RealTime + History (Stocks/Crypto/Forex)
# Short Description
Shows intrabar Up/Down volume, Delta (absolute/relative) and UpShare% in a compact grid for both real-time and historical bars. Includes an MTF (M1…D1) dashboard, contextual coloring, density controls, and alerts on Δ and UpShare%. Smart historical splitting (“History Mode”) for Crypto/Futures/FX.
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# What it does (Quick)
* **UpVol / DownVol / Δ / UpShare%** — visualizes order-flow inside each candle.
* **Real-time** — accumulates intrabar volume live by tick-direction.
* **History Mode** — splits Up/Down on closed bars via simple or range-aware logic.
* **MTF Dashboard** — one table view across M1, M5, M15, M30, H1, H4, D1 (Vol, Up/Down, Δ%, Share, Trend).
* **Contextual opacity** — stronger signals appear bolder.
* **Label density** — draw every N-th bar and limit to last X bars for performance.
* **Alerts** — thresholds for |Δ|, Δ%, and UpShare%.
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# How it works (Real-Time vs History)
* **Real-time (open bar):** volume increments into **UpVolRT** or **DownVolRT** depending on last price move (↑ goes to Up, ↓ to Down). This approximates live order-flow even when full tick history isn’t available.
* **History (closed bars):**
* **None** — no split (Up/Down = 0/0). Safest for equities/indices with unreliable tick history.
* **Approx (Close vs Open)** — all volume goes to candle direction (green → Up 100%, red → Down 100%). Fast but yields many 0/100% bars.
* **Price Action Based** — splits by Close position within High-Low range; strength = |Close−mid|/(High−Low). Above mid → more Up; below mid → more Down. Falls back to direction if High==Low.
* **Auto** — **Stocks/Index → None**, **Crypto/Futures/FX → Approx**. If you see too many 0/100 bars, switch to **Price Action Based**.
---
# Rows & Meaning
* **Volume** — total bar volume (no split).
* **UpVol / DownVol** — directional intrabar volume.
* **Delta (Δ)** — UpVol − DownVol.
* **Absolute**: raw units
* **Relative (Δ%)**: Δ / (Up+Down) × 100
* **Both**: shows both formats
* **UpShare%** — UpVol / (Up+Down) × 100. >50% bullish, <50% bearish.
* Helpful icons: ▲ (>65%), ▼ (<35%).
---
# MTF Dashboard (🔧 Enable Dashboard)
A single table with **Vol, Up, Down, Δ%, Share, Trend (🔼/🔽/⏭️)** for selected timeframes (M1…D1). Great for a fast “panorama” read of flow alignment across horizons.
---
# Inputs (Grouped)
## Display
* Toggle rows: **Volume / Up / Down / Delta / UpShare**
* **Delta Display**: Absolute / Relative / Both
## Realtime & History
* **History Mode**: Auto / None / Approx / Price Action Based
* **Compact Numbers**: 1.2k, 1.25M, 3.4B…
## Theme & UI
* **Theme Mode**: Auto / Light / Dark
* **Row Spacing**: vertical spacing between rows
* **Top Row Y**: moves the whole grid vertically
* **Draw Guide Lines**: faint dotted guides
* **Text Size**: Tiny / Small / Normal / Large
## 🔧 Dashboard Settings
* **Enable Dashboard**
* **📏 Table Text Size**: Tiny…Huge
* **🦓 Zebra Rows**
* **🔲 Table Border**
## ⏰ Timeframes (for Dashboard)
* **M1…D1** toggles
## Contextual Coloring
* **Enable Contextual Coloring**: opacity by signal strength
* **Δ% cap / Share offset cap**: saturation caps
* **Min/Max transparency**: solid vs faint extremes
## Label Density & Size
* **Show every N-th bar**: draw labels only every Nth bar
* **Limit to last X bars**: keep labels only in the most recent X bars
## Colors
* Up / Down / Text / Guide
## Alerts
* **Delta Threshold (abs)** — |Δ| in volume units
* **UpShare > / <** — bullish/bearish thresholds
* **Enable Δ% Alert**, **Δ% > +**, **Δ% < −** — relative delta levels
---
# How to use (Quick Start)
1. Add the indicator to your chart (overlay=false → separate pane).
2. **History Mode**:
* Crypto/Futures/FX → keep **Auto** or switch to **Price Action Based** for richer history.
* Stocks/Index → prefer **None** or **Price Action Based** for safer splits.
3. **Label Density**: start with **Limit to last X bars = 30–150** and **Show every N-th bar = 2–4**.
4. **Contextual Coloring**: keep on to emphasize strong Δ% / Share moves.
5. **Dashboard**: enable and pick only the TFs you actually use.
6. **Alerts**: set thresholds (ideas below).
---
# Alerts (in TradingView)
Add alert → pick this indicator → choose any of:
* **Delta exceeds threshold** (|Δ| > X)
* **UpShare above threshold** (UpShare% > X)
* **UpShare below threshold** (UpShare% < X)
* **Relative Delta above +X%**
* **Relative Delta below −X%**
**Starter thresholds (tune per symbol & TF):**
* **Crypto M1/M5**: Δ% > +25…35 (bullish), Δ% < −25…−35 (bearish)
* **FX (tick volume)**: UpShare > 60–65% or < 40–35%
* **Stocks (liquid)**: set **Absolute Δ** by typical volume scale (e.g., 50k / 100k / 500k)
---
# Notes by Market Type
* **Crypto/Futures**: 24/7 and high liquidity — **Price Action Based** often gives nicer history splits than Approx.
* **Forex (FX)**: TradingView volume is typically **tick volume** (not true exchange volume). Treat Δ/Share as tick-based flow, still very useful intraday.
* **Stocks/Index**: historical tick detail can be limited. **None** or **Price Action Based** is a safer default. If you see too many 0/100% shares, switch away from Approx.
---
# “All Timeframes” accuracy
* Works on **any TF** (M1 → D1/W1).
* **Real-time accuracy** is strong for the open bar (live accumulation).
* **Historical accuracy** depends on your **History Mode** (None = safest, Approx = fastest/simplest, Price Action Based = more nuanced).
* The MTF dashboard uses `request.security` and therefore follows the same logic per TF.
---
# Trade Ideas (Use-Cases)
* **Scalping (M1–M5)**: a spike in Δ% + UpShare>65% + rising total Vol → momentum entries.
* **Intraday (M5–M30–H1)**: when multiple TFs show aligned Δ%/Share (e.g., M5 & M15 bullish), join the trend.
* **Swing (H4–D1)**: persistent Δ% > 0 and UpShare > 55–60% → structural accumulation bias.
---
# Advantages
* **True-feeling live flow** on the open bar.
* **Adaptable history** (three modes) to match data quality.
* **Clean visual layout** with guides, compact numbers, contextual opacity.
* **MTF snapshot** for quick bias read.
* **Performance controls** (last X bars, every N-th bar).
---
# Limitations & Care
* **FX uses tick volume** — interpret Δ/Share accordingly.
* **History Mode is an approximation** — confirm with trend/structure/liquidity context.
* **Illiquid symbols** can produce noisy or contradictory signals.
* **Too many labels** can slow charts → raise N, lower X, or disable guides.
---
# Best Practices (Checklist)
* Crypto/Futures: prefer **Price Action Based** for history.
* Stocks: **None** or **Price Action Based**; be cautious with **Approx**.
* FX: pair Δ% & UpShare% with session context (London/NY) and volatility.
* If labels overlap: tweak **Row Spacing** and **Text Size**.
* In the dashboard, keep only the TFs you actually act on.
* Alerts: start around **Δ% 25–35** for “punchy” moves, then refine per asset.
---
# FAQ
**1) Why do some closed bars show 0%/100% UpShare?**
You’re on **Approx** history mode. Switch to **Price Action Based** for smoother splits.
**2) Δ% looks strong but price doesn’t move — why?**
Δ% is an **order-flow** measure. Price also depends on liquidity pockets, sessions, news, higher-timeframe structure. Use confirmations.
**3) Performance slowdown — what to do?**
Lower **Limit to last X bars** (e.g., 30–100), increase **Show every N-th bar** (2–6), or disable **Draw Guide Lines**.
**4) Dashboard values don’t “match” the grid exactly?**
Dashboard is multi-TF via `request.security` and follows the history logic per TF. Differences are normal.
---
# Short “Store” Marketing Blurb
Intrabar Volume Delta Grid reveals the order-flow inside every candle (Up/Down, Δ, UpShare%) — live and on history. With smart history splitting, an MTF dashboard, contextual emphasis, and flexible alerts, it helps you spot momentum and bias across Crypto, Forex (tick volume), and Stocks. Tidy labels and compact numbers keep the panel readable and fast.
PulseMA Oscillator Normalized v2█ OVERVIEW
PulseMA Oscillator Normalized v2 is a technical indicator designed for the TradingView platform, assisting traders in identifying potential trend reversal points based on price dynamics derived from moving averages. The indicator is normalized for easier interpretation across various market conditions, and its visual presentation with gradients and signals facilitates quick decision-making.
█ CONCEPTS
The core idea of the indicator is to analyze trend dynamics by calculating an oscillator based on a moving average (EMA), which is then normalized and smoothed. It provides insights into trend strength, overbought/oversold levels, and reversal signals, enhanced by gradient visualizations.
Why use it?
Identifying reversal points: The indicator detects overbought and oversold levels, generating buy/sell signals at their crossovers.
Price dynamics analysis: Based on moving averages, it measures how long the price stays above or below the EMA, incorporating trend slope.
Visual clarity: Gradients, fills, and colored lines enable quick chart analysis.
Flexibility: Configurable parameters, such as moving average lengths or normalization period, allow adaptation to various strategies and markets.
How it works?
Trend detection: Calculates a base exponential moving average (EMA with PulseMA Length) and measures how long the price stays above or below it, multiplied by the slope for the oscillator.
Normalization: The oscillator is normalized based on the minimum and maximum values over a lookback period (default 150 bars), scaling it to a range from -100 to 100: (oscillator - min) / (max - min) * 200 - 100. This ensures values are comparable across different instruments and timeframes.
Smoothing: The main line (PulseMA) is the normalized oscillator (oscillatorNorm). The PulseMA MA line is a smoothed version of PulseMA, calculated using an SMA with the PulseMA MA length. As PulseMA MA is smoothed, it reacts more slowly and can be used as a noise filter.
Signals: Generates buy signals when crossing the oversold level upward and sell signals when crossing the overbought level downward. Signals are stronger when PulseMA MA is in the overbought or oversold zone (exceeding the respective thresholds for PulseMA MA).
Visualization: Draws lines with gradients for PulseMA and PulseMA MA, levels with gradients, gradient fill to the zero line, and signals as triangles.
Alerts: Built-in alerts for buy and sell signals.
Settings and customization
PulseMA Length: Length of the base EMA (default 20).
PulseMA MA: Length of the SMA for smoothing PulseMA MA (default 20).
Normalization Lookback Period: Normalization period (default 150, minimum 10).
Overbought/Oversold Levels: Levels for the main line (default 100/-100) and thresholds for PulseMA MA, indicating zones where PulseMA MA exceeds set values (default 50/-50).
Colors and gradients: Customize colors for lines, gradients, and levels; options to enable/disable gradients and fills.
Visualizations: Show PulseMA MA, gradients for overbought/oversold/zero levels, and fills.
█ OTHER SECTIONS
Usage examples
Trend analysis: Observe PulseMA above 0 for an uptrend or below 0 for a downtrend. Use different values for PulseMA Length and PulseMA MA to gain a clearer trend picture. PulseMA MA, being smoothed, reacts more slowly and can serve as a noise filter to confirm trend direction.
Reversal signals: Look for buy triangles when PulseMA crosses the oversold level, especially when PulseMA MA is in the oversold zone. Similarly, look for sell triangles when crossing the overbought level with PulseMA MA in the overbought zone. Such confirmation increases signal reliability.
Customization: Test different values for PulseMA Length and PulseMA MA on a given instrument and timeframe to minimize false signals and tailor the indicator to market specifics.
Notes for users
Combine with other tools, such as support/resistance levels or other oscillators, for greater accuracy.
Test different settings for PulseMA Length and PulseMA MA on the chosen instrument and timeframe to find optimal values.
Peak Reversal v3# Peak Reversal v3
## Summary
Peak Reversal v3 adds new configurability, clearer visuals, and a faster trader workflow. The release introduces a new Squeeze Detector , expanded Keltner Channels , and streamlined Momentum signals , with no repaints and improved performance. The menus have been reorganized and simplified. Color swatches have been added for better customization. All other colors will be derived from these swatches.
## Highlights
New Squeeze Detector to mark low-volatility periods and prepare for breakouts.
New: Bands are now fully configurable with independent MA length, ATR length, and multipliers.
Five moving average bases for bands: EMA (from v2), SMA, RMA, VMA, HMA.
Simplified color system: three swatches drive candles, on-chart marks, and band fill.
Reorganized menu with focused sections and tooltips for each parameter making the entire trader experience more intuitive.
No repaints and faster performance across calculations.
## Overview
Configuration : Pick from three color swatches and apply them to candles, plotted characters, and band fill for consistent chart context. Use the reorganized menu to reach Keltner settings, momentum signals, and squeeze detection without extra clicks; tooltips clarify each input.
Bands and averages: Choose the band basis from EMA, SMA, RMA, VMA, or HMA to match your strategy. Configure two bands independently by setting MA length, ATR length, and band multipliers for the inner and outer envelopes.
Signals : Select the band responsible for momentum signals. Choose wick or close as the price source for entries and exits. Control the window for extreme momentum with “Max Momentum Bars,” a setting now exposed in v3 for direct tuning.
Squeeze detection : The Squeeze Detector normalizes band width and uses percentile ranking to highlight volatility compression. When the market falls below a user-defined threshold, the indicator colors the region with a gradient to signal potential expansion.
## Details about major features and changes
### New
Squeeze Detector to highlight low-volatility conditions.
Five MA bases for bands: EMA, SMA, RMA, VMA, HMA.
“Max Momentum Bars” to cap the bars used for extreme momentum.
### Keltner channel improvements
Refactored Keltner settings for flexible inner and outer band control.
MA type selection added; band calculations updated for consistency.
Removed the third Keltner band to reduce noise and simplify setup.
### Display and signals
Gradient fills for band breakouts, mean deviations, and squeeze periods.
“Show Mean EMA?” set to true and default “Signal Band” set to “Inner.”
Clearer tooltips and input descriptions.
### Reliability and performance
No more repaints. The indicator waits for confirmation before drawing occurs.
Faster execution through targeted refactors.
All algorithms have been reviewed and now use a consistent logic, naming, and structure.
Reversal with Buy/Sell Signal from QuantVuemodification script from QuantVue with target TP/SL.
additional filter EMA 9 & wick.
DBG X WOLONG
Overview
DBG X Wolong is a feature-rich Pine Script v5 indicator/strategy designed to provide a systematic, configurable approach to detecting trade opportunities and managing positions. This free edition combines trend detection, momentum confirmation, volatility sizing and an adaptive grid/TP system into a single workflow that is intended to add practical value beyond a simple indicator mashup
What makes this script original & useful
Integrated workflow (not a mere mashup): indicators are assigned clear roles in a pipeline — trend → momentum → volatility → scaling/exit — so their outputs interact deterministically to form signals.
Adaptive grid + ATR sizing: grid spacing and stop/TP levels adapt to market volatility via ATR, reducing arbitrary parameter dependence.
MA cloud & Braid filter: the multi-MA cloud (supporting many MA types) is used as a structural trend/range detector; the Braid filter suppresses noise and confirms stronger trend regimes.
Multi-timeframe dashboard: compact view of trend across many TFs to avoid single-TF false signals.
Conceptual workflow (how it works, high level)
Trend detection: SuperTrend + MA cloud determine the primary bias (bull/bear).
Momentum confirmation: RSI and MACD histogram confirm momentum direction or reversals.
Volatility sizing: ATR is used to calculate stop levels and to scale position sizing and grid spacing (higher ATR → wider stops & grid)
Signal gating / filter: Braid filter and multi-TF confirmation reduce false entries and ensure higher-probability setups..
Grid / TP engine: when a signal triggers, the system can scale into positions across predefined grid steps and compute TP1/TP2/TP3 based on measured move (VWAP/regression or pivot logic), with labels on chart.
Visual outputs: colorized candles, entry/stop/take labels, pullback marks and a configurable table/dashboards.
Key components & role (concise)
SuperTrend: primary trend filter and main signal trigger.
MA Cloud / Ribbon (many MA types available): structure, support/resistance, trend validation
Braid Filter: noise suppression and signal confirmation.
FRAMA / JMA / advanced MA routines: adaptive smoothing options for different market regimes.
ATR: volatility measure for dynamic stops and grid spacing.
TP Engine / Regression-VWAP logic: adaptive take profit placement and multi-level exits.
Dashboard / Multi-TF checks: present TF consensus to avoid contradictory signals.
How signals are generated (conceptual)
Primary buy: SuperTrend flips bullish + price above short SMA + braid filter confirms + multi-TF bias mostly bullish.
Primary sell: SuperTrend flips bearish + price below short SMA + braid filter confirms + multi-TF bias mostly bearish.
Reversal/pullback markers: RSI crossing thresholds with additional confirmations.
(Exact thresholds and gating are configurable in inputs.).
Inputs summary (important ones to show in the publish dialog)
Sensitivity (SuperTrend tuning): 1–20 (default 6)
MA cloud cycles & ribbon choices (8 cycle settings)
Braid filter type & strength (percent)
ATR length & ATR risk multiplier (for SL and sizing).
Dashboard: enable/position/size, show/hide signals, pullback toggles.
TP mode (pivot/regression), TP multiplier and lengths
Recommended usage & presets
Sensitivity (SuperTrend tuning): 1–20 (default 6)
MA cloud cycles & ribbon choices (8 cycle settings)
Braid filter type & strength (percent)
ATR length & ATR risk multiplier (for SL and sizing).
Dashboard: enable/position/size, show/hide signals, pullback toggles.
TP mode (pivot/regression), TP multiplier and lengths
Recommended usage & presets
Scalping: TF 1–5 minutes; sensitivity higher (8–12); use only SuperTrend + Braid filters; TP1 only.
Intraday: TF 15–60 minutes; sensitivity medium (6–8); use full grid with ATR-based stops.
Swing: TF H1–D1; sensitivity lower (4–6); enable full indicators and multi-TF confirmations.
Always backtest and demo-trade settings before using live.
Limitations & safeguards
Market conditions (thin liquidity, news) can still produce false signals; use multi-TF filter and turn off signals near major events.
This free edition is intended for learning; advanced/premium variants may include additional proprietary optimizations.
Not investment advice — use proper money management and test before trading real capital.
Backtesting & validation
Backtest over multiple symbols and regimes (trending vs ranging) to find robust settings..
Use the dashboard to visualize TF alignment and exclude signals when mismatch occurs.
Keep trade frequency reasonable to avoid overfitting small sample sets.
Publishing notes (for moderators/reviewers)
This description explains how indicators combine in a defined workflow and why each component is used; it demonstrates originality (adaptive grid + ATR-based sizing + MA cloud + Braid filter as a cohesive strategy), not just a superficial mashup.
The code exposes configurable inputs and visual outputs; the long description gives sufficient conceptual detail for users and moderators to evaluate the script without exposing proprietary implementation details.
Technical Probability MetrixThe provided Pine Script is a comprehensive trading tool called the "Technical Probability Metrix," designed for TradingView in Pine Script version 5. It integrates multiple technical indicators and advanced calculations to generate a probability score indicating the likelihood of bullish or bearish price movement. This study is helpful for traders seeking a consolidated market analysis from several technical perspectives in one integrated view.
How to Use This Script
• Apply the script to any chart on TradingView.
• Customize input parameters like wave detection period, Fibonacci levels, RSI length, MACD settings, stochastic length, and EMA periods to suit your trading style.
• Enable or disable display elements such as Elliott Wave labels, Fibonacci levels, and the summary table as needed.
• Observe the summary table that shows the status, values, strength progress bars, and probability percentages for each indicator category.
• Use the overall "Technical Probability Metrix" score and color-coded signals to determine trade bias and strength.
• Alerts are set up for strong buy/sell signals, trend changes, and EMA crossovers for real-time notification.
How It Is Helpful
• Unified Analysis: Combines momentum, trend, volume, and Fibonacci analysis in a single view, saving time and reducing indicator clutter.
• Probability Scores: Converts complex indicator data into probability percentages, allowing easier interpretation of market direction strength.
• Adaptive Targeting: Provides configurable probability levels indicating multiple targets based on the current trend strength.
• Trend Detection: Uses a trend scoring method combining linear regression, moving averages, and pivot highs/lows for a robust trend bias.
• Alert Conditions: Notifies users of key market signal changes to support timely decision-making.
• Volume and Order Blocks: Includes volume moving average and order block strength which are critical for validating price moves.
• Multi-Timeframe EMA Cross: Incorporates 15-minute EMA crossover analysis adding another confirmation layer.
Indicators Included and Their Role
• RSI (Relative Strength Index): Measures overbought/oversold conditions. Values >70 suggest overbought; <30 suggest oversold.
• MACD (Moving Average Convergence Divergence): Momentum and trend confirmation; bullish when MACD line crosses above signal line.
• Stochastic Oscillator: Identifies momentum and potential trend reversals; bullish when %K crosses above %D under 80.
• Volume Moving Average and Ratio: Detects unusual volume spikes which often precede price moves.
• VWAP (Volume Weighted Average Price): Determines if price is trading above or below average price weighted by volume, indicating institutional interest.
• Order Block Strength: Highlights key supply/demand zones from recent high/low ranges.
• EMA 9/20 Crossover (on 15-min): Short and medium-term trend signals for finer timing.
• Elliott Wave Pivots: Detects significant wave highs and lows to assess price position within swing structures.
• Trend Metrics: Combines moving averages, linear regression slope, higher highs/lows, and bar comparisons to score market trend strength.
How to Analyze Using This Study
• Look for alignment among the indicators: bullish RSI, MACD, stochastic, and volume with positive trend scores and price above VWAP suggest a strong buy.
• Use the probability percentages and progress bars to gauge the power behind signals.
• Observe the overall signal (Strong Buy, Buy, Neutral, Sell, Strong Sell) and corresponding color for quick visual cues.
• Fibonacci levels and wave counts provide context about price targets and retracement zones.
• Alerts notify when conditions for strong entry or exit signals occur, complementing manual analysis.
Benefits for New Traders
• Simplifies Complex Data: Merges multiple technical tools into one dashboard, reducing confusion from using many separate indicators.
• Visual Progress Bars and Status: Easy-to-understand visualization of each indicator’s strength and market probability.
• Educative Value: Shows how classic indicators combine into an overall market assessment, useful for learning indicator interactions.
• Alerts: Helps beginners by signaling trading opportunities without needing constant manual chart monitoring.
• Adjustable Settings: Allows users to experiment with input values and observe how indicators respond.
Disclaimer from aiTrendview
This script and its trading signals are provided for training and educational purposes only. They do not constitute financial advice or a guaranteed trading system. Trading involves substantial risk, and there is the potential to lose all invested capital. Users should perform their own analysis and consult with qualified financial professionals before making any trading decisions. aiTrendview disclaims any liability for losses incurred from using this code or trading based on its signals. Use this tool responsibly, and trade only with risk capital.
Ultimate Pattern ScannerSmart Pattern Scanner Pro - Complete Study Guide
The Smart Pattern Scanner Pro is an advanced candlestick pattern recognition indicator that automatically detects over 30 traditional Japanese candlestick patterns across multiple timeframes simultaneously. It combines pattern recognition with volume analysis and trend confirmation to provide traders with comprehensive reversal and continuation signals.
Core Features:
• 30+ Candlestick Patterns: Complete library of traditional patterns
• Multi-Timeframe Scanning: Simultaneous analysis across up to 7 timeframes
• Volume Integration: Buy/sell volume analysis with pattern confirmation
• Trend Filtering: SMA-based trend confirmation for pattern validity
• Real-Time Dashboard: Professional interface with customizable display
• Alert System: Automated notifications when patterns are detected
________________________________________
Candlestick Pattern Categories
Reversal Patterns (Bullish)
Single Candle Patterns
1. Hammer
o Formation: Small body at top, long lower shadow (2x body size)
o Signal: Bullish reversal after downtrend
o Reliability: High when confirmed with volume
o Entry: Above hammer high with stop below low
2. Inverted Hammer
o Formation: Small body at bottom, long upper shadow
o Signal: Potential bullish reversal (needs confirmation)
o Reliability: Medium (requires next candle confirmation)
o Entry: Confirmed breakout above pattern
3. Dragonfly Doji
o Formation: Open = Close, long lower shadow, no upper shadow
o Signal: Strong bullish reversal signal
o Reliability: High in downtrends
o Entry: Above doji high with tight stop
4. Long Lower Shadow
o Formation: Lower shadow 2x body length
o Signal: Rejection of lower prices, bullish sentiment
o Reliability: Medium to high with volume
o Entry: Above candle high
Multi-Candle Patterns
1. Bullish Engulfing
o Formation: Large white candle completely engulfs previous black candle
o Signal: Strong bullish reversal
o Reliability: Very high with volume confirmation
o Entry: Above engulfing candle high
2. Morning Star
o Formation: 3-candle pattern (down, small, up)
o Signal: Major bullish reversal
o Reliability: Excellent (one of most reliable patterns)
o Entry: Above third candle high
3. Morning Doji Star
o Formation: Like Morning Star but middle candle is doji
o Signal: Strong bullish reversal
o Reliability: Very high
o Entry: Above third candle close
4. Piercing Pattern
o Formation: White candle opens below previous low, closes above midpoint
o Signal: Bullish reversal
o Reliability: High when closing >50% into previous candle
o Entry: Above piercing candle high
5. Bullish Harami
o Formation: Small white candle within previous large black candle
o Signal: Potential bullish reversal
o Reliability: Medium (needs confirmation)
o Entry: Above mother candle high
Reversal Patterns (Bearish)
Single Candle Patterns
1. Shooting Star
o Formation: Small body at bottom, long upper shadow
o Signal: Bearish reversal after uptrend
o Reliability: High with volume confirmation
o Entry: Below shooting star low
2. Hanging Man
o Formation: Like hammer but appears in uptrend
o Signal: Potential bearish reversal
o Reliability: Medium (needs confirmation)
o Entry: Below hanging man low
3. Gravestone Doji
o Formation: Open = Close, long upper shadow, no lower shadow
o Signal: Strong bearish reversal
o Reliability: High in uptrends
o Entry: Below doji low
4. Long Upper Shadow
o Formation: Upper shadow 2x body length
o Signal: Rejection of higher prices
o Reliability: Medium to high
o Entry: Below candle low
Multi-Candle Patterns
1. Bearish Engulfing
o Formation: Large black candle engulfs previous white candle
o Signal: Strong bearish reversal
o Reliability: Very high
o Entry: Below engulfing candle low
2. Evening Star
o Formation: 3-candle pattern (up, small, down)
o Signal: Major bearish reversal
o Reliability: Excellent
o Entry: Below third candle low
3. Dark Cloud Cover
o Formation: Black candle opens above previous high, closes below midpoint
o Signal: Bearish reversal
o Reliability: High when closing <50% into previous candle
o Entry: Below dark cloud low
Continuation Patterns
1. Rising Three Methods
o Formation: White candle, 3 small declining candles, white candle
o Signal: Bullish continuation
o Reliability: High in strong uptrends
2. Falling Three Methods
o Formation: Black candle, 3 small rising candles, black candle
o Signal: Bearish continuation
o Reliability: High in strong downtrends
Indecision Patterns
1. Doji
o Formation: Open = Close (or very close)
o Signal: Market indecision, potential reversal
o Reliability: Context-dependent
2. Spinning Tops
o Formation: Small body with upper and lower shadows
o Signal: Market indecision
o Reliability: Low without confirmation
________________________________________
Multi-Timeframe Analysis
Timeframe Hierarchy Strategy
Primary Analysis Flow:
1. Higher Timeframe (Daily/Weekly): Establish overall trend direction
2. Intermediate Timeframe (4H/1H): Identify key support/resistance levels
3. Lower Timeframe (15M/5M): Precise entry and exit timing
Configuration Guidelines:
• Scalping: 1M, 3M, 5M, 15M, 30M
• Day Trading: 5M, 15M, 30M, 1H, 4H
• Swing Trading: 1H, 4H, 1D, 1W
• Position Trading: 4H, 1D, 1W, 1M
Pattern Confluence Rules:
1. High Probability Setup: Same pattern type appears on 3+ timeframes
2. Trend Alignment: Reversal patterns should align with higher timeframe structure
3. Volume Confirmation: Strong volume on pattern timeframe and higher timeframes
________________________________________
Volume Analysis Integration
Volume Components:
1. Buy Volume: Volume when close > open (green candles)
2. Sell Volume: Volume when close ≤ open (red candles)
3. Volume Ratio: Current volume / 20-period moving average
4. Progress Indicator: Visual representation of volume strength
Volume Signal Interpretation:
• Ratio >1.5: Strong volume confirmation
• Ratio 1.0-1.5: Moderate volume support
• Ratio <1.0: Weak volume (pattern less reliable)
Volume Analysis Rules:
1. Bullish Patterns: Require strong buy volume for confirmation
2. Bearish Patterns: Require strong sell volume for confirmation
3. Volume Divergence: When pattern and volume disagree, favor volume
4. Volume Spikes: Ratios >2.0 indicate institutional interest
________________________________________
Live Market Application
Step 1: Dashboard Setup
1. Position Selection: Choose optimal table position for your layout
2. Timeframe Configuration: Set relevant timeframes for your strategy
3. Volume Analysis: Enable for confirmation signals
4. Progress Indicators: Enable for visual signal strength
Step 2: Pattern Identification Process
Real-Time Scanning:
1. Monitor Multiple Timeframes: Check all configured timeframes simultaneously
2. Pattern Priority: Focus on patterns appearing on higher timeframes first
3. Signal Confluence: Look for patterns appearing across multiple timeframes
4. Volume Confirmation: Verify adequate volume support
Pattern Validation:
1. Trend Context: Ensure pattern aligns with overall market structure
2. Support/Resistance: Check if pattern forms at key levels
3. Market Conditions: Consider overall market volatility and sentiment
4. Time of Day: Be aware of session characteristics (open, close, lunch)
Step 3: Entry Decision Matrix
High Probability Entries:
• Pattern on 3+ timeframes
• Strong volume confirmation (ratio >1.5)
• Trend alignment with higher timeframes
• Formation at key support/resistance
Medium Probability Entries:
• Pattern on 2 timeframes
• Moderate volume (ratio 1.0-1.5)
• Partial trend alignment
• Formation in trending market
Low Probability Entries:
• Single timeframe pattern
• Weak volume (ratio <1.0)
• Counter-trend formation
• Choppy/sideways market
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Pattern Reliability Assessment
Tier 1 Patterns (Highest Reliability - 70-80% success rate):
• Morning Star / Evening Star
• Bullish/Bearish Engulfing
• Three White Soldiers / Three Black Crows
• Hammer (in strong downtrend)
• Shooting Star (in strong uptrend)
Tier 2 Patterns (High Reliability - 60-70% success rate):
• Piercing Pattern / Dark Cloud Cover
• Morning/Evening Doji Star
• Harami patterns
• Abandoned Baby
• Kicking patterns
Tier 3 Patterns (Moderate Reliability - 50-60% success rate):
• Doji patterns
• Tweezer Tops/Bottoms
• Window patterns
• Tasuki Gap patterns
• Marubozu patterns
Tier 4 Patterns (Lower Reliability - 40-50% success rate):
• Spinning Tops
• Long shadow patterns (single)
• Neutral doji formations
• Single candle continuation patterns
________________________________________
Trading Strategies
Strategy 1: Multi-Timeframe Reversal
Objective: Catch major trend reversals using high-reliability patterns
Rules:
1. Wait for Tier 1 patterns on Daily + 4H timeframes
2. Require volume ratio >1.5 on both timeframes
3. Enter on 1H confirmation candle
4. Stop loss below/above pattern extreme
5. Target 2:1 or 3:1 risk-reward ratio
Strategy 2: Intraday Scalping
Objective: Quick profits from short-term pattern formations
Rules:
1. Focus on 5M and 15M timeframes
2. Trade only Tier 1 and Tier 2 patterns
3. Require volume confirmation
4. Quick exits (10-30 pip targets)
5. Tight stops (5-15 pips)
Strategy 3: Swing Trading
Objective: Multi-day position holding based on pattern signals
Rules:
1. Use Daily and Weekly timeframes
2. Focus on major reversal patterns
3. Combine with fundamental analysis
4. Wider stops (2-5% of entry price)
5. Hold for 5-20 trading days
Strategy 4: Trend Continuation
Objective: Enter trending markets using continuation patterns
Rules:
1. Identify strong trends on higher timeframes
2. Wait for continuation patterns on lower timeframes
3. Enter in direction of main trend
4. Trail stops using pattern lows/highs
5. Pyramid positions on additional patterns
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Risk Management
Position Sizing Rules:
1. Tier 1 Patterns: Risk up to 2% of account
2. Tier 2 Patterns: Risk up to 1.5% of account
3. Tier 3 Patterns: Risk up to 1% of account
4. Tier 4 Patterns: Risk up to 0.5% of account
Stop Loss Guidelines:
1. Reversal Patterns: Stop beyond pattern extreme + 1 ATR
2. Continuation Patterns: Stop at pattern invalidation level
3. Doji Patterns: Tight stops due to indecision nature
4. Multi-Candle Patterns: Use pattern range for stop placement
Take Profit Strategies:
1. Conservative: 1:1 risk-reward ratio
2. Moderate: 2:1 risk-reward ratio
3. Aggressive: 3:1 risk-reward ratio
4. Trailing: Move stops to breakeven after 1:1 achieved
________________________________________
Limitations and Considerations
Technical Limitations:
1. Pattern Subjectivity: Slight variations in pattern interpretation
2. Market Context Dependency: Patterns perform differently in various market conditions
3. False Signals: Not all patterns lead to expected price moves
4. Lagging Nature: Patterns are confirmed after formation is complete
Market Condition Considerations:
1. Trending Markets: Continuation patterns more reliable than reversals
2. Range-Bound Markets: Reversal patterns at extremes more effective
3. High Volatility: Patterns may not develop properly
4. News Events: Fundamental factors can override technical patterns
Optimal Usage Conditions:
1. Liquid Markets: Adequate volume and participation
2. Normal Volatility: Not during extreme market stress
3. Clear Market Structure: Defined support and resistance levels
4. Multiple Timeframe Alignment: Confluence across timeframes
When NOT to Trade Patterns:
1. Major News Releases: Economic announcements can invalidate patterns
2. Market Holidays: Reduced participation affects reliability
3. Extreme Volatility: VIX >30 or similar stress indicators
4. Gap Openings: Large gaps can negate pattern significance
________________________________________
Risk Disclaimer
CRITICAL WARNING FROM aiTrendview
TRADING FINANCIAL INSTRUMENTS INVOLVES SUBSTANTIAL RISK OF LOSS
This Smart Pattern Scanner Pro indicator ("the Indicator") is provided for educational and analytical purposes only. By using this indicator, you acknowledge and accept the following terms and conditions:
No Financial Advice
• NOT INVESTMENT ADVICE: This indicator does not constitute financial, investment, or trading advice
• NO RECOMMENDATIONS: Pattern signals are not recommendations to buy or sell any financial instrument
• EDUCATIONAL TOOL: Designed for learning technical analysis concepts and pattern recognition
• INDEPENDENT RESEARCH REQUIRED: Always conduct your own thorough analysis before making trading decisions
Substantial Trading Risks
• CAPITAL LOSS RISK: You may lose some or all of your trading capital
• LEVERAGE DANGERS: Margin trading can amplify losses beyond your initial investment
• MARKET VOLATILITY: Financial markets are inherently unpredictable and can move against any analysis
• PATTERN FAILURE: Candlestick patterns fail frequently and do not guarantee profitable outcomes
• FALSE SIGNALS: The indicator may generate incorrect or misleading signals
Technical Analysis Limitations
• NOT PREDICTIVE: Candlestick patterns analyze past price action, not future movements
• SUBJECTIVE INTERPRETATION: Pattern recognition can vary between traders and market conditions
• CONTEXT DEPENDENT: Patterns must be analyzed within broader market context
• NO GUARANTEE: No technical analysis method guarantees trading success
• STATISTICAL PROBABILITY: Even high-reliability patterns fail 20-30% of the time
User Responsibilities
• SOLE RESPONSIBILITY: You are entirely responsible for all trading decisions and outcomes
• RISK MANAGEMENT: Implement appropriate position sizing and stop-loss strategies
• PROFESSIONAL CONSULTATION: Seek advice from qualified financial professionals
• REGULATORY COMPLIANCE: Ensure compliance with local financial regulations
• CONTINUOUS EDUCATION: Maintain ongoing education in market analysis and risk management
Indicator Limitations
• SOFTWARE BUGS: Technical glitches or calculation errors may occur
• DATA DEPENDENCY: Relies on accurate price and volume data feeds
• PLATFORM LIMITATIONS: Subject to TradingView platform capabilities and restrictions
• VERSION UPDATES: Functionality may change with future updates
• COMPATIBILITY: May not work optimally with all chart configurations
Volume Analysis Limitations
• DATA ACCURACY: Volume data may be incomplete or delayed
• MARKET VARIATIONS: Volume patterns differ across markets and instruments
• INSTITUTIONAL ACTIVITY: Cannot guarantee detection of all institutional trading
• LIQUIDITY FACTORS: Low liquidity markets may produce unreliable volume signals
Multi-Timeframe Considerations
• CONFLICTING SIGNALS: Different timeframes may show contradictory patterns
• TIME SYNCHRONIZATION: Pattern timing may vary across timeframes
• COMPUTATIONAL LOAD: Multiple timeframe analysis may affect performance
• COMPLEXITY RISK: More data does not necessarily mean better decisions
Specific Trading Warnings
Pattern-Specific Risks:
1. Doji Patterns: Indicate indecision, not directional conviction
2. Single Candle Patterns: Generally less reliable than multi-candle formations
3. Continuation Patterns: May signal trend exhaustion rather than continuation
4. Gap Patterns: Subject to overnight and weekend gap risks
Market Condition Risks:
1. News Events: Fundamental factors can invalidate any technical pattern
2. Market Manipulation: Large players can create false pattern signals
3. Algorithmic Trading: High-frequency trading can distort traditional patterns
4. Market Crashes: Extreme events render technical analysis ineffective
Psychological Trading Risks:
1. Overconfidence: Successful patterns may lead to excessive risk-taking
2. Pattern Addiction: Over-reliance on patterns without broader analysis
3. Confirmation Bias: Seeing patterns that don't actually exist
4. Emotional Trading: Fear and greed can override pattern discipline
Legal and Regulatory Disclaimers
Intellectual Property:
• COPYRIGHT PROTECTION: This indicator is protected by copyright law
• AUTHORIZED USE ONLY: Use only as permitted by TradingView terms of service
• NO REDISTRIBUTION: Unauthorized copying or redistribution is prohibited
• MODIFICATION RESTRICTIONS: Code modifications may void any support or warranties
Regulatory Compliance:
• LOCAL LAWS: Ensure compliance with your jurisdiction's financial regulations
• LICENSING REQUIREMENTS: Some jurisdictions require licenses for trading or advisory activities
• TAX OBLIGATIONS: Trading profits/losses may have tax implications
• REPORTING REQUIREMENTS: Some jurisdictions require reporting of trading activities
Limitation of Liability:
• NO LIABILITY: aiTrendview accepts no liability for any losses, damages, or adverse outcomes
• INDIRECT DAMAGES: Not liable for consequential, incidental, or punitive damages
• MAXIMUM LIABILITY: Limited to amount paid for indicator access (if any)
• FORCE MAJEURE: Not responsible for events beyond reasonable control
Final Warnings and Recommendations
Before Using This Indicator:
1. DEMO TRADING: Practice extensively with paper trading before risking real money
2. EDUCATION: Thoroughly understand candlestick pattern theory and market dynamics
3. RISK ASSESSMENT: Honestly assess your risk tolerance and financial situation
4. PROFESSIONAL ADVICE: Consult with qualified financial advisors
5. START SMALL: Begin with minimal position sizes to test strategies
Red Flags - Do NOT Trade If:
• You cannot afford to lose the money you're risking
• You're experiencing financial stress or pressure
• You're trading emotionally or impulsively
• You don't understand the patterns or market mechanics
• You're using borrowed money or credit to trade
• You're treating trading as gambling rather than calculated risk-taking
Emergency Procedures:
• STOP TRADING immediately if experiencing significant losses
• SEEK HELP if trading is affecting your mental health or relationships
• REVIEW STRATEGY after any series of losses
• TAKE BREAKS from trading to maintain perspective
• PROFESSIONAL HELP: Contact financial counselors if needed
Acknowledgment Required
By using the Smart Pattern Scanner Pro indicator, you explicitly acknowledge that:
1. You have read and understood this entire disclaimer
2. You accept full responsibility for all trading decisions and outcomes
3. You understand the substantial risks involved in financial trading
4. You will not hold aiTrendview liable for any losses or damages
5. You will use this tool only for educational and personal analysis purposes
6. You will comply with all applicable laws and regulations
7. You will implement appropriate risk management practices
8. You understand that past performance does not predict future results
REMEMBER: The most important rule in trading is capital preservation. No pattern, indicator, or strategy is worth risking your financial well-being.
________________________________________
Disclaimer from aiTrendview.com
The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Futures Confluence Delta (FCD) - Histogram
The Futures Confluence Delta (FCD) Histogram is a powerful trend-following indicator tailored for scalping futures on 1-minute charts. Displayed in a bottom panel like RSI or volume, it visualizes cumulative volume delta to identify bullish or bearish market momentum. The histogram turns green for positive delta (buying pressure, suggesting a long trend) and red for negative delta (selling pressure, indicating a short trend), providing quick insight into market direction.
This indicator is ideal for futures traders seeking confluence with other tools, such as VWMA or order block strategies. It uses a simple yet effective delta calculation (buy volume for up candles, sell volume for down candles, smoothed with EMA) to highlight trend strength, making it perfect for fast-paced scalping environments.
Key Features:
Cumulative Delta Histogram: Tracks buying vs. selling pressure, smoothed with an EMA for clarity.
Color-Coded Trend Signals: Green for bullish (long) trends, red for bearish (short) trends.
Customizable Settings: Adjust the delta lookback period and enable/disable daily reset for flexibility.
Optimized for 1-minute charts on futures.
Alert Support: Set alerts for trend changes to stay ahead of market shifts.
How to Use:
Add the indicator to your 1-minute chart. Observe the histogram in the bottom panel:
Green bars (positive delta) suggest a bullish trend, favoring long entries.
Red bars (negative delta) indicate a bearish trend, favoring short entries.
Combine with other indicators (e.g., VWMA, order blocks, or FVGs) for confluence.
Set alerts for trend changes via the FCD Long Trend or FCD Short Trend conditions.
Adjust settings (delta lookback, daily reset) to match your trading style.
Settings:
Delta Lookback Period (default: 14): Controls the EMA smoothing of the delta. Lower values increase sensitivity; higher values smooth trends.
Reset Delta Daily (default: true): Resets cumulative delta at the start of each trading day for futures session alignment.
Long Color (default: green): Color for bullish delta.
Short Color (default: red): Color for bearish delta.
Notes:
Ensure sufficient historical data (500+ bars) for accurate delta calculations.
Test on NQ for higher volatility, as it may show stronger delta signals compared to GC or ES.
Check the Pine Logs pane (“More” > “Pine Logs”) for any NA data issues if the histogram doesn’t display.
Share your feedback or suggestions in the comments!
3 SMA + RSI + MACD + MTF Ultimate Dashboard🎯 Overview:
High-precision trading indicator combining trend, momentum, and multi-timeframe confirmation for reliable buy/sell signals in Forex, Crypto, and other markets.
🔹 Core Features:
📈 3 SMAs (7/25/99) – Short, Medium & Long-term trend detection
⚡ RSI Filter – Avoid weak signals (Buy >55 / Sell <45)
💎 MACD with Threshold – Reduce false crossovers
⏱️ Multi-Timeframe Trend (H4) – Confirm overall market direction
✅ Dashboard & Signals:
🟢 Clear Buy & Sell arrows on chart
📊 Live dashboard showing filter status & total signals
🔔 Audio & Push Alerts – Mobile/Desktop/Webhook
💎 Benefits:
⚡ Minimizes false signals
📈 Works on M15, H1, H4, Daily
🎯 Combines trend, momentum, and confirmation filters in one dashboard
⚠️ Note: Signals are generated only after candle close for maximum reliability.
Divergence & Volume ThrustThis document provides both user and technical information for the "Divergence & Volume Thrust" (DVT) Pine Script indicator.
Part 1: User Guide
1.1 Introduction
The DVT indicator is an advanced tool designed to automatically identify high-probability trading setups. It works by detecting divergences between price and key momentum oscillators (RSI and MACD).
A divergence is a powerful signal that a trend might be losing strength and a reversal is possible. To filter out weak signals, the DVT indicator includes a Volume Thrust component, which ensures that a divergence is backed by significant market interest before it alerts you.
🐂 Bullish Divergence: Price makes a new low, but the indicator makes a higher low. This suggests selling pressure is weakening.
🐻 Bearish Divergence: Price makes a new high, but the indicator makes a lower high. This suggests buying pressure is weakening.
1.2 Key Features on Your Chart
When you add the indicator to your chart, here's what you will see:
Divergence Lines:
Bullish Lines (Teal): A line will be drawn on your chart connecting two price lows that form a bullish divergence.
Bearish Lines (Red): A line will be drawn connecting two price highs that form a bearish divergence.
Solid lines represent RSI divergences, while dashed lines represent MACD divergences.
Confirmation Labels:
"Bull Div ▲" (Teal Label): This label appears below the candle when a bullish divergence is detected and confirmed by a recent volume spike. This is a high-probability buy signal.
"Bear Div ▼" (Red Label): This label appears above the candle when a bearish divergence is detected and confirmed by a recent volume spike. This is a high-probability sell signal.
Volume Spike Bars (Orange Background):
Any price candle with a faint orange background indicates that the volume during that period was unusually high (exceeding the average volume by a multiplier you can set).
1.3 Settings and Configuration
You can customize the indicator to fit your trading style. Here's what each setting does:
Divergence Pivot Lookback (Left/Right): Controls the sensitivity of swing point detection. Lower numbers find smaller, more frequent divergences. Higher numbers find larger, more significant ones. 5 is a good starting point.
Max Lookback Range for Divergence: How many bars back the script will look for the first part of a divergence pattern. Default is 60.
Indicator Settings (RSI & MACD):
You can toggle RSI and MACD divergences on or off.
Standard length settings for each indicator (e.g., RSI Length 14, MACD 12, 26, 9).
Volume Settings:
Use Volume Confirmation: The most important filter. When checked, labels will only appear if a volume spike occurs near the divergence.
Volume MA Length: The lookback period for calculating average volume.
Volume Spike Multiplier: The core of the "Thrust" filter. A value of 2.0 means volume must be 200% (or 2x) the average to be considered a spike.
Visuals: Customize colors and toggle the confirmation labels on or off.
1.4 Strategy & Best Practices
Confluence is Key: The DVT indicator is powerful, but it should not be used in isolation. Look for its signals at key support and resistance levels, trendlines, or major moving averages for the highest probability setups.
Wait for Confirmation: A confirmed signal (with a label) is much more reliable than an unconfirmed divergence line.
Context Matters: A bullish divergence in a strong downtrend might only lead to a small bounce, not a full reversal. Use the signals in the context of the overall market structure.
Set Alerts: Use the TradingView alert system with this script. Create alerts for "Confirmed Bullish Divergence" and "Confirmed Bearish Divergence" to be notified of setups automatically.
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide
Table of Contents
1. Overview
2. Indicator Components
3. Signal Interpretation
4. Live Market Analysis Guide
5. Best Practices
6. Limitations and Considerations
7. Risk Disclaimer
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Overview
The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities.
Key Features:
• Multi-Indicator Analysis: Combines 20+ technical indicators
• Real-Time Dashboard: Professional interface with customizable display
• Signal Aggregation: Weighted scoring system for overall market sentiment
• Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis
• Visual Progress Indicators: Easy-to-read progress bars for signal strength
________________________________________
Indicator Components
1. Oscillators Section
Purpose: Identifies overbought/oversold conditions and momentum changes
Included Indicators:
• RSI (14): Relative Strength Index - momentum oscillator
• Stochastic (14): Compares closing price to price range
• CCI (20): Commodity Channel Index - cycle identification
• Williams %R (14): Momentum indicator similar to Stochastic
• MACD (12,26,9): Moving Average Convergence Divergence
• Momentum (10): Rate of price change
• ROC (9): Rate of Change
• Bollinger Bands (20,2): Volatility-based indicator
Signal Interpretation:
• Strong Buy (6+ points): Multiple oscillators indicate oversold conditions
• Buy (2-5 points): Moderate bullish momentum
• Neutral (-1 to 1 points): Balanced conditions
• Sell (-2 to -5 points): Moderate bearish momentum
• Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions
2. Moving Averages Section
Purpose: Determines trend direction and strength
Included Indicators:
• SMA: 10, 20, 50, 100, 200 periods
• EMA: 10, 20, 50 periods
Signal Logic:
• Price >2% above MA = Strong Buy (+2)
• Price above MA = Buy (+1)
• Price below MA = Sell (-1)
• Price >2% below MA = Strong Sell (-2)
Signal Interpretation:
• Strong Buy (6+ points): Price well above multiple MAs, strong uptrend
• Buy (2-5 points): Price above most MAs, bullish trend
• Neutral (-1 to 1 points): Mixed MA signals, consolidation
• Sell (-2 to -5 points): Price below most MAs, bearish trend
• Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend
3. Order Block Analysis
Purpose: Identifies institutional support/resistance levels and breakouts
How It Works:
• Detects historical levels where large orders were placed
• Monitors price behavior around these levels
• Identifies breakouts from established order blocks
Signal Types:
• BULLISH BRK (+2): Breakout above resistance order block
• BEARISH BRK (-2): Breakdown below support order block
• ABOVE SUP (+1): Price holding above support
• BELOW RES (-1): Price rejected at resistance
• NEUTRAL (0): No significant order block interaction
4. Supertrend Analysis
Purpose: Trend following indicator based on Average True Range
Parameters:
• ATR Period: 10 (default)
• ATR Multiplier: 6.0 (default)
Signal Types:
• BULLISH (+2): Price above Supertrend line
• BEARISH (-2): Price below Supertrend line
• NEUTRAL (0): Transition period
5. Trendline/Channel Analysis
Purpose: Identifies trend channels and breakout patterns
Components:
• Dynamic trendline calculation using pivot points
• Channel width based on historical volatility
• Breakout detection algorithm
Signal Types:
• UPPER BRK (+2): Breakout above upper channel
• LOWER BRK (-2): Breakdown below lower channel
• ABOVE MID (+1): Price above channel midline
• BELOW MID (-1): Price below channel midline
6. Volume Analysis
Purpose: Confirms price movements with volume data
Components:
• Volume spikes detection
• On Balance Volume (OBV)
• Volume Price Trend (VPT)
• Money Flow Index (MFI)
• Accumulation/Distribution Line
Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements.
________________________________________
Signal Interpretation
Overall Summary Signals
The indicator aggregates all component signals into an overall market sentiment:
Signal Score Range Interpretation Action
STRONG BUY 10+ Overwhelming bullish consensus Consider long positions
BUY 4-9 Moderate to strong bullish bias Look for long opportunities
NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction
SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities
STRONG SELL -10+ Overwhelming bearish consensus Consider short positions
Progress Bar Interpretation
• Filled bars indicate signal strength
• Green bars: Bullish signals
• Red bars: Bearish signals
• More filled bars = stronger conviction
________________________________________
Live Market Analysis Guide
Step 1: Initial Assessment
1. Check Overall Summary: Start with the main signal
2. Verify with Component Analysis: Ensure signals align
3. Look for Divergences: Identify conflicting signals
Step 2: Timeframe Analysis
1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading
2. Multi-Timeframe Confirmation: Check higher timeframes for trend context
3. Entry Timing: Use lower timeframes for precise entry points
Step 3: Signal Confirmation Process
For Buy Signals:
1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20)
2. Moving Averages: Price should be above key MAs
3. Order Blocks: Confirm bounce from support levels
4. Volume: Check for accumulation patterns
5. Supertrend: Ensure bullish trend alignment
For Sell Signals:
1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80)
2. Moving Averages: Price should be below key MAs
3. Order Blocks: Confirm rejection at resistance levels
4. Volume: Check for distribution patterns
5. Supertrend: Ensure bearish trend alignment
Step 4: Risk Management Integration
1. Signal Strength Assessment: Stronger signals = larger position size
2. Stop Loss Placement: Use Order Block levels for stops
3. Take Profit Targets: Based on channel analysis and resistance levels
4. Position Sizing: Adjust based on signal confidence
________________________________________
Best Practices
Entry Strategies
1. High Conviction Entries: Wait for STRONG BUY/SELL signals
2. Confluence Trading: Look for multiple components aligning
3. Breakout Trading: Use Order Block and Trendline breakouts
4. Trend Following: Align with Supertrend direction
Risk Management
1. Never Risk More Than 2% Per Trade: Regardless of signal strength
2. Use Stop Losses: Place at invalidation levels
3. Scale Positions: Stronger signals warrant larger (but still controlled) positions
4. Diversification: Don't rely solely on one indicator
Market Conditions
1. Trending Markets: Focus on Supertrend and MA signals
2. Range-Bound Markets: Emphasize Oscillator and Order Block signals
3. High Volatility: Reduce position sizes, widen stops
4. Low Volume: Be cautious of breakout signals
Common Mistakes to Avoid
1. Signal Chasing: Don't enter after signals have already moved significantly
2. Ignoring Context: Consider overall market conditions
3. Overtrading: Wait for high-quality setups
4. Poor Risk Management: Always use appropriate position sizing
________________________________________
Limitations and Considerations
Technical Limitations
1. Lagging Nature: All technical indicators are based on historical data
2. False Signals: No indicator is 100% accurate
3. Market Regime Changes: Indicators may perform differently in various market conditions
4. Whipsaws: Possible in choppy, sideways markets
Optimal Use Cases
1. Trending Markets: Performs best in clear trending environments
2. Medium to High Volatility: Requires sufficient price movement for signals
3. Liquid Markets: Works best with adequate volume and tight spreads
4. Multiple Timeframe Analysis: Most effective when used across different timeframes
When to Use Caution
1. Major News Events: Fundamental analysis may override technical signals
2. Market Opens/Closes: Higher volatility can create false signals
3. Low Volume Periods: Signals may be less reliable
4. Holiday Trading: Reduced participation affects signal quality
________________________________________
Risk Disclaimer
IMPORTANT LEGAL DISCLAIMER FROM aiTrendview
WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS
This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms:
No Investment Advice
• The Indicator does NOT constitute investment advice, financial advice, or trading recommendations
• All signals generated are based on historical price data and mathematical calculations
• Past performance does not guarantee future results
• No representation is made that any account will achieve profits or losses similar to those shown
Risk Acknowledgment
• TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital
• LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment
• MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile
• TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades
User Responsibility
• YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences
• CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions
• CONSULT PROFESSIONALS: Seek advice from qualified financial advisors
• RISK MANAGEMENT: Implement appropriate risk management strategies
No Warranties
• The Indicator is provided "AS IS" without warranties of any kind
• aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator
• Technical glitches, data feed issues, or calculation errors may occur
• The Indicator may not work as expected in all market conditions
Limitation of Liability
• aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages
• This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures
• MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any)
Code Usage and Distribution
• This indicator is published on TradingView in accordance with TradingView's house rules
• UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited
• Users may not claim ownership of this intellectual property
• Commercial use requires explicit written permission from aiTrendview
Compliance and Regulations
• VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws
• Some trading strategies may not be suitable for all investors
• Tax implications of trading are your responsibility
• Report trading activities as required by law
Specific Risk Factors
1. False Signals: The Indicator may generate incorrect buy/sell signals
2. Market Gaps: Overnight gaps can invalidate technical analysis
3. Fundamental Events: News and economic data can override technical signals
4. Liquidity Risk: Some markets may have insufficient liquidity
5. Technology Risk: Platform failures or connectivity issues may prevent order execution
Professional Trading Warning
• THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading
• NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority
• EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts
FINAL WARNING
NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE
Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading:
1. Practice on paper/demo accounts extensively
2. Start with small position sizes
3. Develop a comprehensive trading plan
4. Implement strict risk management rules
5. Continuously educate yourself about market dynamics
By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes.
Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only.
________________________________________
This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator.
Document Version: 1.0
Last Updated: September 2025
Publisher: aiTrendview
________________________________________
Disclaimer from aiTrendview.com
The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Indicator 102#M3indicator based on Daily and weekly fib Level. Initial Breakout and breakdowns have been denoted as well
