Background Trend Follower by exp3rtsThe Background Trend Follower indicator visually highlights the market’s daily directional bias using subtle background colors. It calculates the price change from the daily open and shades the chart background according to the current intraday momentum.
🟢 Green background → Price is significantly above the daily open (strong bullish trend)
🔴 Red background → Price is significantly below the daily open (strong bearish trend)
🟡 Yellow background → Price is trading near the daily open (neutral or consolidating phase)
The script automatically detects each new trading day.
It records the opening price at the start of the day.
As the session progresses, it continuously measures how far the current price has moved from that open.
When the move exceeds ±50 points (custom threshold), the background color adapts to reflect the trend strength.
Perfect for traders who want a quick visual sense of intraday bias — bullish, bearish, or neutral — without cluttering the chart with extra indicators.
インジケーターとストラテジー
HTF Live View - GSK-VIZAG-AP-INDIA📘 HTF Live View — GSK-VIZAG-AP-INDIA
🧩 Overview
The HTF Live View indicator provides a real-time visual representation of higher-timeframe (HTF) candle structures — such as 15min, 30min, 1H, 4H, and Daily — all derived directly from live 1-minute data.
This allows traders to see how higher timeframe candles are forming within the current session — without switching chart timeframes.
⚙️ Core Features
📊 Live Multi-Timeframe OHLC Tracking
Continuously calculates and displays Open, High, Low, and Close values for each key timeframe (15m, 30m, 1H, 4H, and Daily) based on the ongoing session.
⏱ Session-Aware Calculation
Automatically syncs with market hours defined by user-selected start and end times. Works across multiple timezones for global compatibility.
🕹 Visual Candle Representation
Draws mini-candles on the chart for each higher timeframe to represent their current body and wick — updated live.
Green body → bullish development
Red body → bearish development
📅 Informative Table Panel
Displays a summary table showing:
Timeframe label
Period (start–end time)
Live OHLC values
Color-coded close values
🌍 Timezone Support
Fully compatible with common regions such as Asia/Kolkata, New York, London, Tokyo, and Sydney.
🔧 User Inputs
Parameter Description
Market Start Hour/Minute Define session start time (default: 09:15)
Session End Hour/Minute Define market close (default: 15:30)
Timezone Select your preferred timezone for session alignment
💡 How It Works
The indicator uses a rolling OHLC calculation function that dynamically computes candle values based on elapsed session time.
Each timeframe (15m, 30m, 1H, 4H, and Daily) is built from 1-minute data to maintain precision even during intraday updates.
Both a visual representation (candles and wicks) and a data table (numeric summary) are displayed for clarity.
🧠 Use Cases
Monitor how HTF candles are forming live without switching chart intervals.
Understand intraday structure shifts (e.g., when 1H turns from red to green).
Confirm trend alignment across multiple timeframes visually.
Combine with your volume, delta, or liquidity tools for deeper confluence.
🪶 Signature
Developed by GSK-VIZAG-AP-INDIA
© prowelltraders — Educational and analytical use only.
⚠️ Disclaimer
This indicator is for educational and informational purposes only.
It does not provide financial advice or guaranteed trading results.
Always perform your own analysis before making investment decisions.
Institutional Candle Scanner — Imbalance & Order Blocks GaneshHere you can large body, volume > 1.5*avg{20}, followed smaller candels which indidcates institutional involvement.
H1 ATR on all timeframesVisual aid that displays the value of the H1 ATR (standard setting: 14) across all timeframes.
5 MAs + Composite Gradient + Multi Sensitivity + HybridIndicator Description
🔹 Core Structure
• The indicator plots five moving averages (MAs), each fully customizable: you can choose the type (SMA, EMA, WMA, HMA, RMA, VWMA), the length, the color, and the transparency.
• On top of them, it calculates a Composite line, which is simply the average of all five MAs.
🔹 Colors and Lines
• Each MA is drawn in the color you select, with adjustable transparency.
• The Composite line is dynamically colored: it shifts from red when the slope is strongly negative (downtrend) to green when the slope is strongly positive (uptrend), with smooth gradients in between.
• The line thickness of the Composite changes automatically: thin when the slope is weak, thick when the slope is strong.
🔹 Shading
• Light shading is drawn between MA1 ↔ MA5 and MA2 ↔ MA4.
• The shading color follows the Composite’s gradient, so the background tint reflects the current trend strength and direction.
🔹 Buy/Sell Signals
• A green BUY arrow appears below a candle when the price crosses above the Composite with enough strength.
• A red SELL arrow appears above a candle when the price crosses below the Composite with enough strength.
• The “enough strength” part is controlled by a sensitivity threshold.
🔹 Sensitivity Modes
You can choose how the threshold is calculated:
1. Dynamic TF – Sensitivity adapts to the timeframe:
• 1 minute → 0.2%
• 1 hour → 0.5%
• 1 day → 1%
2. ATR – Threshold is based on a multiple of the Average True Range.
3. StdDev – Threshold is based on a multiple of the standard deviation of price.
4. Hybrid – Requires both Dynamic TF and ATR conditions to be satisfied.
The Result
• You get a visually clear chart: faint customizable MAs, a Composite line that changes color and thickness with the trend, and shaded zones that reinforce the direction.
• You also get smart trading signals: filtered BUY/SELL arrows that adapt to volatility, timeframe, or both.
• The whole system is modular and flexible: you can tune every MA, every sensitivity mode, and every visual element.
Illuminati Zone🟣 Illuminati Zone — Hidden Power of the 11 PM NZ Candle
The Illuminati Zone reveals the hidden footprints of liquidity and market imbalance formed by the 11 PM New Zealand 15-minute candle — a time when global liquidity transitions between major sessions.
This candle often defines key intraday supply and demand boundaries, serving as a magnet for price and a pivot point for high-probability reversals or breakouts.
🧠 How it works
Automatically detects and marks the 11 PM NZ 15-minute candle each day.
Draws a translucent zone box between its high and low.
Extends two reference lines at +1 × range and –1 × range above and below the zone — ideal for spotting overextensions or liquidity sweeps.
Supports custom lookback, colors, and visual options.
💡 How to use it
Watch how price interacts with the zone — rejection often signals smart-money activity.
Use +1 and –1 levels as overextended zones for potential reversals or breakout retests.
Combine with your own confluence tools or volume analysis for precision entries.
⚙️ Customization Options
Target hour (NZ time)
Days back to display
Zone and line colors
Transparency and visual preferences
🔮 Pro Tip: Pair it with a volume or imbalance indicator for surgical-level precision in identifying where smart money positions are built or released.
ombs - atr vol ma rsi macdאינדקטור ombs – atr vol ma rsi macd מציג תצוגה חזותית קלה לשימוש של נתוני דשבורד יומיים עיקריים - טווח ממוצע יומי (ATR), ווליום (VOL), ממוצע נע 150, העצמת RSI ו-MACD. העיגולים הצבעוניים מחליפים צבעים לפי חוזק או חולשה במדדים המרכזיים. אידיאלי לאנליסטים וסוחרים שרוצים לראות תמונת מצב טכנית בבת אחת במסך.
The ombs – atr vol ma rsi macd indicator provides a crisp dashboard-style visualization of key daily technical stats: Average True Range (ATR), Volume (VOL), 150-period Moving Average (MA), RSI, and MACD. Colored dots summarize the strength or weakness at a glance for each metric. Perfect for analysts and traders who want an instant technical overview directly on the chart.
HTF CandlesThis Indicator allows you to display up to 10 higher timeframe candles.
One of them will always be the currently last candle (realtime candle if session is active). So if you choose to display only one candle it will be the current HTF candle. If you choose to display more than 1 candle it will be the current HTF candle plus the number of total candles minus one as historic candles (maximum 9 historic candles).
The goal is to simplify HTF analysis without the need to switch timeframes and detect HTF candle patterns while seeing the lower timeframe develop in realtime.
This is especially useful if you trade concepts like liquidity grabs/sweeps or any candle stick patterns and you want to utilize lower timeframe entries to maximize your risk to reward.
Setting Explanation
General Settings
# of Bars: Choose how many HTF candles you want to be displayed (maximum is 10).
Timeframe: Choose the timeframe that you want to be displayed.
Offset: Put in the number of bars you want to shift the HTF candles to the right (minimum is 0 which will result in a shift 3 bars to the right, to separate it from the current LTF candle). This way you can as well see 2 higher timeframes by applying the indicator twice to your chart and just shifting one timeframe so far to the right that it does not overlap the first HTF.
HTF Lines
Mark Start Of HTF Candles: If checked this will display lines according to the start of your HTF candles.
HTF Label
Show HTF Label: If checked you will see a label above the plotted HTF candles that tells you which timeframe it is.
Automatic Label Positioning: If checked your HTF Label will be 1 ATR above the highest HTF bar. This avoids putting in an absolute number which can be useful if you trade assets with vastly different prices (for example a 10 point distance will not sufficiently separate the label from the candles if trading BTC whereas a 100/500 point difference would put the label out of your screen if trading MNQ). By using the ATR the label will automatically be efficiently separated from the candles but not to far away.
Appearance
Body: Choose fill color for your bullish (left) and bearish (right) HTF candles.
Wick: Choose Wick/Border color for your HTF candles.
HTF Line: Choose color and line style for your HTF Lines (marking the start of a new HTF candle)
Label Position: Adjust the vertical distance of the label in regard to the highest high of the displayed HTF candles (This will be full points, not ticks, and is only used whenever "Automatic Label Positioning" is deselected).
Label Size: Adjust the font size of your HTF label.
Volume Delta [BigBeluga]🔵 OVERVIEW
The Volume Delta indicator visualizes the dominance between buying and selling volume within a given period. It calculates the percentage of bullish (buy) versus bearish (sell) volume, then color-codes the candles and provides a real-time dashboard comparing delta values across multiple currency pairs. This makes it a powerful tool for monitoring order-flow strength and intermarket relationships in real time.
🔵 CONCEPTS
Each bar’s buy volume is counted when the close is higher than the open.
Each bar’s sell volume is counted when the close is lower than the open.
volumeBuy = 0.
volumeSell = 0.
for i = 0 to period
if close > open
volumeBuy += volume
else
volumeSell += volume
The indicator sums both over a chosen period to calculate the ratio of buy-to-sell pressure.
Delta (%) = (Buy Volume ÷ (Buy Volume + Sell Volume)) × 100.
Gradient colors highlight whether buying or selling pressure dominates.
🔵 FEATURES
Calculates real-time Volume Delta for the selected chart or for multiple assets.
Colors candles dynamically based on the delta intensity (green = buy pressure, red = sell pressure).
Displays a dashboard table showing volume delta % for up to five instruments.
The dashboard features visual progress bars for quick intermarket comparison.
An optional Delta Bar Panel shows the ratio of Buy/Sell volumes near the latest bar.
A floating label shows the exact Buy/Sell percentages.
Works across all symbols and timeframes for multi-asset delta tracking.
🔵 HOW TO USE
When Buy % > Sell % , it often signals bullish momentum or strong accumulation—but can also indicate over-excitement and a possible market top.
Market Tops
When Sell % > Buy % , it typically reflects bearish pressure or distribution—but may also occur near a market bottom where selling exhaustion forms.
Market Bottom
Use the Dashboard to compare volume flow across correlated assets (e.g., major Forex pairs or sector groups).
Combine readings with trend or volatility filters to confirm whether the imbalance aligns with broader directional conviction.
Treat the Delta Bar visualization as a real-time sentiment gauge—showing which side (buyers or sellers) dominates the current session.
🔵 CONCLUSION
Volume Delta transforms volume analysis into an intuitive directional signal.
By quantifying buy/sell pressure and displaying it as a percentage or color gradient, it provides traders with a clearer picture of real-time volume imbalance — whether within one market or across multiple correlated instruments.
Basic FVG (Zuki)This indicator identifies and displays Fair Value Gaps (FVGs) to highlight market imbalances.
FEATURES:
- Detects classic bullish and bearish FVGs.
- Option to automatically delete FVGs once filled by a wick.
- Customize FVG colors and box length.
- Use Lookback Period and Max FVG settings to keep the chart clean.
Simple
OPEN MULTITIMEFRAMEIntroduction: The indicator's name and its main purpose (e.g., "A comprehensive multi-timeframe indicator that displays trends based on the Open price and Chikou Span signals...").
Features: A list of the key features included in the indicator (e.g., Multi-Timeframe Dashboard, Moving Averages on Open price, volume-based candle coloring, trading sessions...).
How to Use: Instructions on how to read signals from the dashboard, the meaning of the plotted lines, or how to combine signals for trading.
自用事件30M - 优化版V8This is a strategy designed specifically for the 30-minute period of the Ethereum Event Contract, which is suitable for use during the 1-minute cycle to gain insights into the 30-minute period.
Enhanced Holt-Winters RSI [BOSWaves]Enhanced Holt-Winters RSI – Next-Level Momentum Smoothing & Signal Precision
Overview
The Enhanced Holt-Winters RSI transforms the classic Relative Strength Index into a robust, lag-minimized momentum oscillator through Holt-Winters triple exponential smoothing. By modeling the level, trend, and cyclical behavior of the RSI series, this indicator delivers smoother, more responsive signals that highlight overbought/oversold conditions, momentum shifts, and high-conviction trading setups without cluttering the chart with noise.
Unlike traditional RSI, which reacts to historical data and produces frequent whipsaws, the Enhanced Holt-Winters RSI filters transient price fluctuations, enabling traders to detect emerging momentum and potential reversal zones earlier.
Theoretical Foundation
The traditional RSI measures relative strength by comparing average gains and losses, but suffers from:
Lag in trend recognition : Signals often arrive after momentum has shifted.
Noise sensitivity : High-frequency price movements generate unreliable crossovers.
Limited insight into structural market shifts : Standard RSI cannot contextualize cyclical or momentum patterns.
The Enhanced Holt-Winters RSI addresses these limitations by applying triple exponential smoothing directly to the RSI series. This decomposes the series into:
Level (Lₜ) : Represents the smoothed central tendency of RSI.
Trend (Tₜ) : Captures rate-of-change in smoothed momentum.
Seasonal Component (Sₜ) : Models short-term cyclical deviations in momentum.
By incorporating these elements, the oscillator produces smoothed RSI values that react faster to emerging trends while suppressing erratic noise. Its internal forecast is mathematical, influencing the smoothed RSI output and signals, rather than being directly plotted.
How It Works
The Enhanced Holt-Winters RSI builds its signal framework through several layers:
1. Base RSI Calculation
Computes standard RSI over the selected period as the primary momentum input.
2. Triple Exponential Smoothing (Holt-Winters)
The RSI is smoothed recursively to extract underlying momentum structure:
Level, trend, and seasonal components are combined to produce a smoothed RSI.
This internal smoothing reduces lag and enhances signal reliability.
3. Momentum Analysis
Short-term momentum shifts are tracked via a moving average of the smoothed RSI, highlighting acceleration or deceleration in directional strength.
4. Volume Confirmation (Optional)
Buy/sell signals can be filtered through a configurable volume threshold, ensuring only high-conviction moves trigger alerts.
5. Visual Output
Colored Candles : Represent overbought (red), oversold (green), or neutral (yellow) conditions.
Oscillator Panel : Plots the smoothed RSI with dynamic color coding for immediate trend context.
Signals : Triangular markers indicate bullish or bearish setups, with stronger signals flagged in extreme zones.
Interpretation
The Enhanced Holt-Winters RSI provides a multi-dimensional perspective on price action:
Trend Strength : Smoothed RSI slope and color coding reflect the direction and momentum intensity.
Momentum Shifts : Rapid changes in the smoothed RSI indicate emerging strength or weakness.
Overbought/Oversold Zones : Highlight areas where price is stretched relative to recent momentum.
High-Conviction Signals : Combined with volume filtering, markers indicate optimal entries/exits.
Cycle Awareness : Smoothing reveals structural patterns, helping traders avoid reacting to noise.
By combining these elements, traders gain early insight into market structure and momentum without relying on raw, lag-prone RSI data.
Strategy Integration
The Enhanced Holt-Winters RSI can be applied across trading styles:
Trend Following
Enter when RSI is aligned with price momentum and color-coded signals confirm trend direction.
Strong slope in the smoothed RSI signals trend continuation.
Reversal Trading
Look for RSI extremes with momentum shifts and strong signal markers.
Compression in oscillator values often precedes reversal setups.
Breakout Detection
Oscillator flattening in neutral zones followed by directional expansion indicates potential breakout conditions.
Multi-Timeframe Confluence
Higher timeframes provide directional bias; lower timeframes refine entry timing using smoothed RSI dynamics.
Technical Implementation Details
Input Source : Close, open, high, low, or price.
Smoothing : Holt-Winters triple exponential smoothing applied to RSI.
Parameters :
Level (α) : Controls smoothing of RSI.
Trend (β) : Adjusts responsiveness to momentum changes.
Seasonal Length : Defines cycles for short-term adjustments.
Delta Smoothing : Reduces choppiness in smoothed RSI difference.
Outputs :
Smoothed RSI
Colored candles and oscillator panel
Buy/Sell signal markers (with optional strength filtering)
Volume Filtering : Optional threshold to confirm signals.
Optimal Application Parameters
Asset-Specific Guidance:
Forex : Use moderate smoothing (α, β) to capture medium-term momentum swings while filtering minor price noise. Works best when combined with volume or volatility filters.
Equities : Balance responsiveness and smoothness to identify sustained sector momentum or rotational shifts; ideal for capturing clean directional transitions.
Cryptocurrency : Increase smoothing parameters slightly to stabilize RSI during extreme volatility; optional volume confirmation can help filter false signals.
Futures/Indices : Lower smoothing sensitivity emphasizes macro momentum and structural trend durability over short-term fluctuations.
Timeframe Optimization:
Scalping (1-5m) : Use higher sensitivity (lower smoothing factors) to react quickly to micro-momentum reversals.
Intraday (15m-1h) : Balance smoothing and responsiveness for detecting short-term acceleration and exhaustion zones.
Swing (4h-Daily) : Apply moderate smoothing to reveal underlying directional persistence and cyclical reversals.
Position (Daily-Weekly) : Use stronger smoothing to isolate dominant momentum trends and filter temporary pullbacks.
Integration Guidelines
Combine with trend filters (EMAs, SuperSmoother MA, ATR-based tools) for confirmation.
Use volume and signal strength markers to filter low-conviction trades.
Slope, color, and signal alignment can guide entry, stop placement, and scaling.
Disclaimer
The Enhanced Holt-Winters RSI is a technical analysis tool, not a guaranteed profit system. Effectiveness depends on proper settings, market structure, and disciplined risk management. Always backtest before live trading.
Multi IndicatorThis script uses combination of RSI, W %, BB, EMA signals to find movement direction and reversals.
Prakash Balkawade
Rupeebees Active Option Levels V4This indicator helps you understand the nature of Active options in relationship each other and helps you to predict market trend .
T3 ATR [DCAUT]█ T3 ATR
📊 ORIGINALITY & INNOVATION
The T3 ATR indicator represents an important enhancement to the traditional Average True Range (ATR) indicator by incorporating the T3 (Tilson Triple Exponential Moving Average) smoothing algorithm. While standard ATR uses fixed RMA (Running Moving Average) smoothing, T3 ATR introduces a configurable volume factor parameter that allows traders to adjust the smoothing characteristics from highly responsive to heavily smoothed output.
This innovation addresses a fundamental limitation of traditional ATR: the inability to adapt smoothing behavior without changing the calculation period. With T3 ATR, traders can maintain a consistent ATR period while adjusting the responsiveness through the volume factor, making the indicator adaptable to different trading styles, market conditions, and timeframes through a single unified implementation.
The T3 algorithm's triple exponential smoothing with volume factor control provides improved signal quality by reducing noise while maintaining better responsiveness compared to traditional smoothing methods. This makes T3 ATR particularly valuable for traders who need to adapt their volatility measurement approach to varying market conditions without switching between multiple indicator configurations.
📐 MATHEMATICAL FOUNDATION
The T3 ATR calculation process involves two distinct stages:
Stage 1: True Range Calculation
The True Range (TR) is calculated using the standard formula:
TR = max(high - low, |high - close |, |low - close |)
This captures the greatest of the current bar's range, the gap from the previous close to the current high, or the gap from the previous close to the current low, providing a comprehensive measure of price movement that accounts for gaps and limit moves.
Stage 2: T3 Smoothing Application
The True Range values are then smoothed using the T3 algorithm, which applies six exponential moving averages in succession:
First Layer: e1 = EMA(TR, period), e2 = EMA(e1, period)
Second Layer: e3 = EMA(e2, period), e4 = EMA(e3, period)
Third Layer: e5 = EMA(e4, period), e6 = EMA(e5, period)
Final Calculation: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3
The coefficients (c1, c2, c3, c4) are derived from the volume factor (VF) parameter:
a = VF / 2
c1 = -a³
c2 = 3a² + 3a³
c3 = -6a² - 3a - 3a³
c4 = 1 + 3a + a³ + 3a²
The volume factor parameter (0.0 to 1.0) controls the weighting of these coefficients, directly affecting the balance between responsiveness and smoothness:
Lower VF values (approaching 0.0): Coefficients favor recent data, resulting in faster response to volatility changes with minimal lag but potentially more noise
Higher VF values (approaching 1.0): Coefficients distribute weight more evenly across the smoothing layers, producing smoother output with reduced noise but slightly increased lag
📊 COMPREHENSIVE SIGNAL ANALYSIS
Volatility Level Interpretation:
High Absolute Values: Indicate strong price movements and elevated market activity, suggesting larger position risks and wider stop-loss requirements, often associated with trending markets or significant news events
Low Absolute Values: Indicate subdued price movements and quiet market conditions, suggesting smaller position risks and tighter stop-loss opportunities, often associated with consolidation phases or low-volume periods
Rapid Increases: Sharp spikes in T3 ATR often signal the beginning of significant price moves or market regime changes, providing early warning of increased trading risk
Sustained High Levels: Extended periods of elevated T3 ATR indicate sustained trending conditions with persistent volatility, suitable for trend-following strategies
Sustained Low Levels: Extended periods of low T3 ATR indicate range-bound conditions with suppressed volatility, suitable for mean-reversion strategies
Volume Factor Impact on Signals:
Low VF Settings (0.0-0.3): Produce responsive signals that quickly capture volatility changes, suitable for short-term trading but may generate more frequent color changes during minor fluctuations
Medium VF Settings (0.4-0.7): Provide balanced signal quality with moderate responsiveness, filtering out minor noise while capturing significant volatility changes, suitable for swing trading
High VF Settings (0.8-1.0): Generate smooth, stable signals that filter out most noise and focus on major volatility trends, suitable for position trading and long-term analysis
🎯 STRATEGIC APPLICATIONS
Position Sizing Strategy:
Determine your risk per trade (e.g., 1% of account capital - adjust based on your risk tolerance and experience)
Decide your stop-loss distance multiplier (e.g., 2.0x T3 ATR - this varies by market and strategy, test different values)
Calculate stop-loss distance: Stop Distance = Multiplier × Current T3 ATR
Calculate position size: Position Size = (Account × Risk %) / Stop Distance
Example: $10,000 account, 1% risk, T3 ATR = 50 points, 2x multiplier → Position Size = ($10,000 × 0.01) / (2 × 50) = $100 / 100 points = 1 unit per point
Important: The ATR multiplier (1.5x - 3.0x) should be determined through backtesting for your specific instrument and strategy - using inappropriate multipliers may result in stops that are too tight (frequent stop-outs) or too wide (excessive losses)
Adjust the volume factor to match your trading style: lower VF for responsive stop distances in short-term trading, higher VF for stable stop distances in position trading
Dynamic Stop-Loss Placement:
Determine your risk tolerance multiplier (typically 1.5x to 3.0x T3 ATR)
For long positions: Set stop-loss at entry price minus (multiplier × current T3 ATR value)
For short positions: Set stop-loss at entry price plus (multiplier × current T3 ATR value)
Trail stop-losses by recalculating based on current T3 ATR as the trade progresses
Adjust the volume factor based on desired stop-loss stability: higher VF for less frequent adjustments, lower VF for more adaptive stops
Market Regime Identification:
Calculate a reference volatility level using a longer-period moving average of T3 ATR (e.g., 50-period SMA)
High Volatility Regime: Current T3 ATR significantly above reference (e.g., 120%+) - favor trend-following strategies, breakout trades, and wider targets
Normal Volatility Regime: Current T3 ATR near reference (e.g., 80-120%) - employ standard trading strategies appropriate for prevailing market structure
Low Volatility Regime: Current T3 ATR significantly below reference (e.g., <80%) - favor mean-reversion strategies, range trading, and prepare for potential volatility expansion
Monitor T3 ATR trend direction and compare current values to recent history to identify regime transitions early
Risk Management Implementation:
Establish your maximum portfolio heat (total risk across all positions, typically 2-6% of capital)
For each position: Calculate position size using the formula Position Size = (Account × Individual Risk %) / (ATR Multiplier × Current T3 ATR)
When T3 ATR increases: Position sizes automatically decrease (same risk %, larger stop distance = smaller position)
When T3 ATR decreases: Position sizes automatically increase (same risk %, smaller stop distance = larger position)
This approach maintains constant dollar risk per trade regardless of market volatility changes
Use consistent volume factor settings across all positions to ensure uniform risk measurement
📋 DETAILED PARAMETER CONFIGURATION
ATR Length Parameter:
Default Setting: 14 periods
This is the standard ATR calculation period established by Welles Wilder, providing balanced volatility measurement that captures both short-term fluctuations and medium-term trends across most markets and timeframes
Selection Principles:
Shorter periods increase sensitivity to recent volatility changes and respond faster to market shifts, but may produce less stable readings
Longer periods emphasize sustained volatility trends and filter out short-term noise, but respond more slowly to genuine regime changes
The optimal period depends on your holding time, trading frequency, and the typical volatility cycle of your instrument
Consider the timeframe you trade: Intraday traders typically use shorter periods, swing traders use intermediate periods, position traders use longer periods
Practical Approach:
Start with the default 14 periods and observe how well it captures volatility patterns relevant to your trading decisions
If ATR seems too reactive to minor price movements: Increase the period until volatility readings better reflect meaningful market changes
If ATR lags behind obvious volatility shifts that affect your trades: Decrease the period for faster response
Match the period roughly to your typical holding time - if you hold positions for N bars, consider ATR periods in a similar range
Test different periods using historical data for your specific instrument and strategy before committing to live trading
T3 Volume Factor Parameter:
Default Setting: 0.7
This setting provides a reasonable balance between responsiveness and smoothness for most market conditions and trading styles
Understanding the Volume Factor:
Lower values (closer to 0.0) reduce smoothing, allowing T3 ATR to respond more quickly to volatility changes but with less noise filtering
Higher values (closer to 1.0) increase smoothing, producing more stable readings that focus on sustained volatility trends but respond more slowly
The trade-off is between immediacy and stability - there is no universally optimal setting
Selection Principles:
Match to your decision speed: If you need to react quickly to volatility changes for entries/exits, use lower VF; if you're making longer-term risk assessments, use higher VF
Match to market character: Noisier, choppier markets may benefit from higher VF for clearer signals; cleaner trending markets may work well with lower VF for faster response
Match to your preference: Some traders prefer responsive indicators even with occasional false signals, others prefer stable indicators even with some delay
Practical Adjustment Guidelines:
Start with default 0.7 and observe how T3 ATR behavior aligns with your trading needs over multiple sessions
If readings seem too unstable or noisy for your decisions: Try increasing VF toward 0.9-1.0 for heavier smoothing
If the indicator lags too much behind volatility changes you care about: Try decreasing VF toward 0.3-0.5 for faster response
Make meaningful adjustments (0.2-0.3 changes) rather than small increments - subtle differences are often imperceptible in practice
Test adjustments in simulation or paper trading before applying to live positions
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Responsiveness Characteristics:
The T3 smoothing algorithm provides improved responsiveness compared to traditional RMA smoothing used in standard ATR. The triple exponential design with volume factor control allows the indicator to respond more quickly to genuine volatility changes while maintaining the ability to filter noise through appropriate VF settings. This results in earlier detection of volatility regime changes compared to standard ATR, particularly valuable for risk management and position sizing adjustments.
Signal Stability:
Unlike simple smoothing methods that may produce erratic signals during transitional periods, T3 ATR's multi-layer exponential smoothing provides more stable signal progression. The volume factor parameter allows traders to tune signal stability to their preference, with higher VF settings producing remarkably smooth volatility profiles that help avoid overreaction to temporary market fluctuations.
Comparison with Standard ATR:
Adaptability: T3 ATR allows adjustment of smoothing characteristics through the volume factor without changing the ATR period, whereas standard ATR requires changing the period length to alter responsiveness, potentially affecting the fundamental volatility measurement
Lag Reduction: At lower volume factor settings, T3 ATR responds more quickly to volatility changes than standard ATR with equivalent periods, providing earlier signals for risk management adjustments
Noise Filtering: At higher volume factor settings, T3 ATR provides superior noise filtering compared to standard ATR, producing cleaner signals for long-term analysis without sacrificing volatility measurement accuracy
Flexibility: A single T3 ATR configuration can serve multiple trading styles by adjusting only the volume factor, while standard ATR typically requires multiple instances with different periods for different trading applications
Suitable Use Cases:
T3 ATR is well-suited for the following scenarios:
Dynamic Risk Management: When position sizing and stop-loss placement need to adapt quickly to changing volatility conditions
Multi-Style Trading: When a single volatility indicator must serve different trading approaches (day trading, swing trading, position trading)
Volatile Markets: When standard ATR produces too many false volatility signals during choppy conditions
Systematic Trading: When algorithmic systems require a single, configurable volatility input that can be optimized for different instruments
Market Regime Analysis: When clear identification of volatility expansion and contraction phases is critical for strategy selection
Known Limitations:
Like all technical indicators, T3 ATR has limitations that users should understand:
Historical Nature: T3 ATR is calculated from historical price data and cannot predict future volatility with certainty
Smoothing Trade-offs: The volume factor setting involves a trade-off between responsiveness and smoothness - no single setting is optimal for all market conditions
Extreme Events: During unprecedented market events or gaps, T3 ATR may not immediately reflect the full scope of volatility until sufficient data is processed
Relative Measurement: T3 ATR values are most meaningful in relative context (compared to recent history) rather than as absolute thresholds
Market Context Required: T3 ATR measures volatility magnitude but does not indicate price direction or trend quality - it should be used in conjunction with directional analysis
Performance Expectations:
T3 ATR is designed to help traders measure and adapt to changing market volatility conditions. When properly configured and applied:
It can help reduce position risk during volatile periods through appropriate position sizing
It can help identify optimal times for more aggressive position sizing during stable periods
It can improve stop-loss placement by adapting to current market conditions
It can assist in strategy selection by identifying volatility regimes
However, volatility measurement alone does not guarantee profitable trading. T3 ATR should be integrated into a comprehensive trading approach that includes directional analysis, proper risk management, and sound trading psychology.
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. T3 ATR provides adaptive volatility measurement but has limitations and should not be used as the sole basis for trading decisions. The indicator measures historical volatility patterns, and past volatility characteristics do not guarantee future volatility behavior. Market conditions can change rapidly, and extreme events may produce volatility readings that fall outside historical norms.
Traders should combine T3 ATR with directional analysis tools, support/resistance analysis, and other technical indicators to form a complete trading strategy. Proper backtesting and forward testing with appropriate risk management is essential before applying T3 ATR-based strategies to live trading. The volume factor parameter should be optimized for specific instruments and trading styles through careful testing rather than assuming default settings are optimal for all applications.
Period Separator + Future Lines (Exchange-Time Synced)Monthly, Weekly, Daily,4hr and hr dividers and future separators (custom as wish, how many lines it should show in future)
Future separators corrected
Proxit Gold Strike V.1.2Proxit Gold Strike v.1.2 is a scalping-focused indicator designed to pinpoint fast in–out entries on lower timeframes (1–5m). It blends momentum, short-term trend bias, and reversal/pricing zones to surface high-probability setups while filtering out low-volatility chop.
Core Logic:
Detect micro-trend bias to stay aligned with short-term direction
Trigger Momentum Pulse when buy/sell pressure expands
Highlight Pullback/Exhaustion zones where quick bounces often occur
Apply a Volatility Filter to reduce noise in dead markets
On-chart Elements:
Buy / Sell arrows when conditions align
Soft background Trend Bias shading
Signal Baseline for directional reference
Scalp Zones for pragmatic entry/exit placement
No-Trade Zone warning during ultra-low volatility
Signals & Trade Ideas:
Scalp Buy: Positive momentum crossover + price above Baseline + not in No-Trade Zone
Scalp Sell: Negative momentum crossover + price below Baseline + not in No-Trade Zone
Exit: Quick targets (e.g., R:1–1.5) or upon opposite momentum/weakening signal
Recommended Inputs:
Sensitivity (1–5): Higher = faster/more signals (default: 3)
Baseline Length: 50–100 for volatile instruments
Momentum Window: 8–14 tuned for scalps
Volatility Filter: On for chop reduction
Show Labels/Alerts: Toggle visual/alert elements
Best Timeframes & Markets:
1m / 3m / 5m on Forex, Gold, Crypto, Index Futures
For Gold, start with TF 3–5m during active sessions/liquidity peaks.
Alerts:
“Proxit Buy” and “Proxit Sell” on signal confirmation
“Exit/Flip” when momentum flips
Use Once per bar close for more reliable alerts.
Best Practices:
Favor trades with the current Trend Bias; avoid strong counter-trend attempts
Keep tight stops nearby and size positions responsibly
Be cautious around major news releases unless your playbook accounts for them
Combine with market structure/S&R for added confluence
Disclaimer:
This tool is for educational and decision-support purposes only and is not financial advice. Results depend on your risk management and discipline. Always forward-test on demo before going live.
Suggested TradingView Tags:
scalping, momentum, trend, gold, crypto, forex, volatility, pullback, intraday, alerts
Rupeebees Option OHLC Levels This indicator works with the principle that Option premium calculation can help you to understand the supply and demand in a trend direction.
Rupeebees Option OHLC Levels This Indicator will help you to understand market direction and demand and supply in the active options.All the details are only made with the option premium calculation.
UOT Gold Pressure IndexGold Pressure Index combines the momentum of the US Dollar Index (DXY) and US 10-Year Treasury Yields into a single, easy-to-read oscillator that helps traders identify high-probability setups in gold markets.
What Does This Indicator Do?
This indicator measures the combined directional pressure from the two primary fundamental drivers of gold prices:
DXY (US Dollar Index) - Gold's primary inverse correlation
US 10-Year Treasury Yields - Alternative to gold for safe-haven flows
When both are rising together, gold typically faces strong selling pressure. When both are falling together, gold typically finds support. The GPI simplifies this analysis into one visual metric.
Liquidity Sweeps (Improved)this is improved version of liqudity sweep and alert thois is my third attempt
EMA (5, 10, 20, 50, 100, 150, 200)+VWAP+BBEMA Cluster + VWAP + Bollinger Bands + Alerts + Visual Signals (Fixed)
