ACR(Average Candle Range) With TargetsWhat is ACR?
The Average Candle Range (ACR) is a custom volatility metric that calculates the mean distance between the high and low of a set number of past candles. ACR focuses only on the actual candle range (high - low) of specific past candles on a chosen timeframe.
This script calculates and visualizes the Average Candle Range (ACR) over a user-defined number of candles on a custom timeframe. It displays a table of recent range values, plots dynamic bullish and bearish target levels, and marks the start of each new candle with a vertical line. All calculations update in real time as price action develops. This script was inspired by the “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees.
Key Features
Custom Timeframe Selection: Choose any timeframe (e.g., 1D, 4H, 15m) for analysis.
User-Defined Lookback: Calculate the average range across 1 to 10 previous candles.
Dynamic Targets:
Bullish Target: Current candle low + ACR.
Bearish Target: Current candle high – ACR.
Live Updates: Targets adjust intrabar as highs or lows change during the current candle.
Candle Start Markers: Vertical lines denote the open of each new candle on the selected timeframe.
Floating Range Table:
Displays the current ACR value.
Lists individual ranges for the previous five candles.
Extend Target Lines: Choose to extend bullish and bearish target levels fully across the screen.
Global Visibility Controls: Toggle on/off all visual elements (targets, vertical lines, and table) for a cleaner view.
How It Works
At each new candle on the user-selected timeframe, the script:
Draws a vertical line at the candle’s open.
Recalculates the ACR based on the inputted previous number of candles.
Plots target levels using the current candle's developing high and low values.
Limitation
Once the price has already moved a full ACR in the opposite direction from your intended trade, the associated target loses its practical value. For example, if you intended to trade long but the bearish ACR target is hit first, the bullish target is no longer a reliable reference for that session.
Use Case
This tool is designed for traders who:
Want to visualize the average movement range of candles over time.
Use higher or lower timeframe candles as structural anchors.
Require real-time range-based price levels for intraday or swing decision-making.
This script does not generate entry or exit signals. Instead, it supports range awareness and target projection based on historical candle behavior.
Key Difference from Similar Tools
While this script was inspired by “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees, it introduces a major enhancement: the ability to customize the timeframe used for calculating the range. Most ADR or candle-range tools are locked to a single timeframe (e.g., daily), but this version gives traders full control over the analysis window. This makes it adaptable to a wide range of strategies, including intraday and swing trading, across any market or asset.
Volatilite
EMA Channel with ATR Offset + 2 Custom EMAsJust an alternative channel indicator to Bollinger Bands or Ketner channels that uses ATR offsets as the corridor of possible movements, which I recommend changing to fit various tickers.
Also thrown in is EMA, default is 100 and 50 periods for trend direction and potential confirmation
UniStratV3 | QuantEdgeBUniversal Strategy V3 | QuantEdgeB
🔍 What is the Universal Strategy?
A dynamic, multi-engine trading framework engineered to adapt across asset classes, timeframes, and market conditions. It fuses multiple complementary signal engines into a single, unified decision model—automatically balancing speed, smoothness, momentum scoring, and breakout precision.
⚙️ Core Characteristics
• Multi-Engine Logic: Combines fast-reacting trend detection, adaptive smoothing, statistical momentum scoring, and volatility-normalized breakout confirmation.
• Modular Architecture: Each engine operates independently yet contributes to a unified signal index—allowing plug-and-play customization or replacement of individual components.
• Adaptive Thresholds: Dynamically adjusts trigger levels based on market volatility, percentile bands, or standard-deviation filters, ensuring robust performance in both quiet and turbulent conditions.
• Unified Signal Aggregation: Individual engine outputs (bullish/bearish) are averaged into a single trend, minimizing noise and reinforcing conviction.
🛠️ Construction & Structure
1. Signal Engines:
o Midline Cross Engines (RSI, Z-Score, ROC): Provide early directional cues by crossing their natural mid‐points.
o StDev Filters: Apply volatility bands around each raw engine to confirm only statistically significant moves.
o Normalized MA Engines: Transform simple, EMA, and ALMA moving averages into 0–1 signals via min/max normalization, capturing cross-asset momentum.
o Slope Engines: Combine base MA bands with normalized thresholds to detect breakouts validated by momentum direction.
o Wave/MACD Engines: Leverage classic MACD and a volume-adjusted wave oscillator to sense cyclical momentum extremes.
2. Aggregation Layers:
o Raw Score Layer: A straightforward average of +1/–1 from each engine subgroup.
o Filtered Score Layer: Applies standard-deviation filters to each engine’s raw value before re-scoring, reducing whipsaws.
o Composite Layer: Merges raw, filtered, normalized MA, slope, and wave scores into a final Trend Probability Index (TPI), which drives the long/short decision.
3. Visualization:
o Candles color-coded by final TPI sign.
o Mid- and threshold-lines (±0.34) denote trigger levels on the composite oscillator.
o Optional real-time tables display engine contributions, overall TPI, and backtest equity.
Each sub-input was selected and “meshed” to ensure no single engine dominates—fast modules flag initial trend, smoother modules confirm, filters refine, and normalization harmonizes scales so the final signal emerges as a balanced, multi-dimensional conviction score.
💡 Key Benefits
• Balance of Reactivity & Reliability: Fast-acting modules catch early trend shifts, while smoother, statistical layers confirm and filter false moves.
• Versatility Across Markets: Designed to work equally well in trending, range-bound, or high-volatility environments, and across equities, FX, commodities, and crypto.
• Customizable & Extensible: Users can tailor the number and type of engines, threshold methodologies, and signal-aggregation rules to match their style and risk tolerance.
• Transparency & Confidence: A real-time signal dashboard shows each engine’s contribution and the overall strategy, offering clear insight into what drives the strategy’s decisions.
📊 Generic Use Cases
1. Trend Capture
Identify and ride sustained directional moves with early-warning and confirmation engines.
2. Breakout Trading
Detect and validate volatility expansions while filtering out whipsaws.
3. Momentum Assessment
Quantify the strength behind price moves to distinguish fleeting spikes from genuine trends.
4. Cross-Asset Rotation
Apply the same framework to multiple symbols—allocating capital to the strongest opportunities.
📌 In Summary
The Universal Strategy V3 | QuantEdgeB is a framework, not a single indicator. By orchestrating diverse, forward-tested methodologies into one cohesive engine—and transparently combining their signals—it delivers adaptive precision, signal clarity, and robust performance—empowering traders to navigate any market environment with data-driven confidence.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Trader's Club IndicatorTrader’s Club Indicator
The Trader’s Club Indicator is an advanced confluence-based tool combining Bollinger Bands , Relative Strength Index (RSI) , VWAP with multi-band overlays , and an intelligent chained divergence detection engine. It identifies potential buy/sell setups by aligning price extremes with momentum shifts and volume-weighted trends. The “E” signal highlights enhanced entry opportunities based on RSI divergence and price candle behaviour — offering a timing edge for informed traders.
TRADING METHOD
This indicator works best on 1-Minute candles. Tested it successfully on XAUUSD.
Buy signal: 'E' in a Blue box.
Sell signal: 'E' in a Red box.
Chained Divergence: White dot on the top or bottom of a candle. This shows possibility of a reversal from that zone.
Use the Buy/Sell signals in conjunction with the VWAP levels. If the Buy/Sell Signals form at VWAP and a key support/resistance level, that is an additional confluence.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves risk, and you are solely responsible for your decisions. Do not rely solely on the buy/sell ‘E’ signals — it’s crucial to use additional confirmation, context, and personal judgment before placing trades. Always practice proper risk management and consider combining this indicator with broader technical or fundamental confluences.
ATR-Scaled Deviation OscillatorATR-DevOsc is a custom momentum-and-volatility adaptive oscillator that scales N-bar price momentum by its rolling deviation and then reacts dynamically to sudden ATR spikes. By shrinking the deviation window when true volatility surges, it amplifies extreme moves—making medium-term trend shifts and deep drawdowns far more likely to breach your predefined thresholds.
Key features include:
• configurable momentum length and separate deviation length for precise control over look-back periods
• ATR Reaction Multiplier to tune how strongly sudden volatility spikes contract the deviation, boosting oscillator amplitude during extreme moves
• independent upper and lower threshold inputs for clear long/short signal definitions
• integrated candle-coloring overlay to immediately visualize trend state on your price chart
• built-in alert conditions for both oscillator-threshold crossovers and ATR-reactive triggers
This indicator is particularly useful for swing traders seeking medium-term entry and exit points in highly volatile markets like BTC. It combines normalized momentum readings with true volatility feedback, so large drawdowns or breakouts generate unmistakable signal events while routine noise stays filtered.
Note: ATR-DevOsc is provided “as is” without formal robustness or optimization testing. Past performance is not indicative of future results; use in live trading only after sufficient back-testing and validation.
Macro S&D BetaMacro S&D Suite: Part 2 — Beta Zones (Intraday Microstructure S&D)
Title: Macro S&D Suite: Part 2 — Beta Zones (Intraday Microstructure S&D)
Description:
Overview
Macro S&D Beta is designed to pinpoint tactical intraday supply and demand zones using refined microstructure logic. Operating best on 30m, 15m, and 5m charts, it identifies key short-term liquidity areas that align with institutional price behaviour — offering structured setups within the broader macro zones defined by Alpha.
How It Works
• Microstructure Pivot Logic: Detects directional turns using localised swing compression and price rejection signatures
• Micro 1 to Micro 5 Framework:
– Micro 5: High-probability short zone
– Micro 1: High-probability long zone
– Micro 2–4: Intermediate zones for scaling, targets, or re-entry
• Live Recalculation: Adjusts zone levels in real time as new swing data and volume conditions are confirmed
• Execution-Ready Zones: Built specifically to support consistent trade plans using clear directional flow
Use Case – Tactical Trade Planning
Use Beta on intraday charts to build structured trade plans based on short-term supply and demand levels.
Execute short trades near Micro 5 with targets toward Micro 4 → 1. For long trades, entries near Micro 1 offer clear setups with targets back toward Micro 5.
Zones 2–4 can be used as secondary targets or re-entries, but only when the market structure supports continuation.
How It Integrates with Alpha
Beta refines the precision of your trade entries, while Alpha defines the broader structural context.
Our most effective trade setups occur when Beta's Micro pivots interact with Alpha zones, especially when confirmed by clean structural rejections, engulfing patterns, or compression breakouts.
These alignments can lead to high-quality trades with clarity, confidence, and well-defined risk.
What Makes It Unique
While many zone tools plot basic support and resistance, Beta dynamically adapts to real-time swing behaviour and local volume reaction patterns.
It is tailored for structured execution using a micro-to-macro flow and is designed to support a more structured and consistent approach to intraday execution.
Technical Note
This script is Part 2 of the Macro S&D Suite. Due to TradingView's visual object limits, each tool operates independently but integrates seamlessly.
• Part 1 – Alpha: Macro zones
• Part 2 – Beta: Intraday zones (this script)
Educational Support & System Guide
Every user receives a comprehensive 25-page Trading Rules Guide, which breaks down the Micro 1–5 execution logic, zone interaction, and market structure setups.
We also provide daily usage guidance to help you apply this system to your trading — with the exact approach we use in our daily routines.
Compatibility Note
Although designed for independent zone-based execution, Beta can easily complement momentum tools, VWAP bands, or other trend overlays for confirmation.
Its structure-driven approach ensures that additional confluence can be layered without conflict.
Invite-Only Access
This script is available to subscription members of our MacroStructure community.
However, we offer a 14-day free trial — no signup, no payment, and no obligation.
Simply message us with your TradingView username, and we'll grant you full access to test the system in real-time market conditions.
During your trial, you'll also receive our daily setup guide and live support throughout the London and New York sessions, so you can learn how to apply the tools exactly as we do in our trades.
If the system aligns with your strategy and helps improve your execution, you'll have the option to subscribe to our monthly plan afterwards.
DeltaStats (Anchored)DeltaStats (Anchored)
Benchmark price, volatility, and true range against your anchor period—instantly.
Metrics:
• Net Change
– Compares current close to the opening price of the chosen anchor period for % and log returns
– Normalized (PoP) Change = (net move ÷ √span) ÷ weighted average of per-bar absolute moves over the normalization span
• Standard Deviation
– Calculates SD over the anchor period and displays: % of mean, log % of mean
– Normalized (PoP) SD = (current period SD − prior period SD) ÷ weighted average of per-period RMS deviations over the normalization span
• Average True Range
– Calculates ATR over the anchor period and displays: TR/TrueMid % (avg), TR/TrueMid log % (avg)
– Normalized (PoP) ATR = (current period ATR − prior period ATR) ÷ weighted average of per-bar true ranges over the normalization span
Toggle each metric between
1. % of Baseline
2. Log % of Baseline
3. Normalized (PoP—period-over-period)
Underlying calculations:
• Net Change
– % vs baseline = (close ÷ anchorOpen − 1) × 100
– Log % vs baseline = log(close ÷ anchorOpen) × 100
– Normalized (PoP) = (Δ ÷ √span) ÷ weighted average of |Δ one-bar| over norm span
• Standard Deviation
– % of mean = SD(period) ÷ SMA(close, period) × 100
– Log % of mean = log(SD(period) ÷ SMA(close, period) + 1) × 100
– Normalized (PoP) = (SD(period) − SD(prior period)) ÷ weighted average of per-period RMS deviations over norm span
• Average True Range
– % vs TrueMid = SMA(TR ÷ TrueMid, period) × 100
– Log % vs TrueMid = SMA(log(TR ÷ TrueMid + 1), period) × 100
– Normalized (PoP) = (ATR(period) − ATR(prior period)) ÷ weighted average of one-bar TR over norm span
DeltaStats (Rolling)DeltaStats (Rolling)
Benchmark price, volatility, and true range over your rolling window—instantly.
Metrics:
• Net Change
– Compares today’s close to the close span bars ago for % and log returns
– Normalized (PoP) Change = (net move ÷ √span) ÷ simple average of per-bar absolute moves over span × multiplier
• Standard Deviation
– Calculates span-bar SD and displays: % of mean, log % of mean
– Normalized (PoP) SD = (current SD − span bars ago SD) ÷ simple average of RMS deviations over span × multiplier
• Average True Range
– Calculates span-bar ATR and displays: TR/TrueMid % (avg), TR/TrueMid log % (avg)
– Normalized (PoP) ATR = (current ATR − span bars ago ATR) ÷ simple average of one-bar TR over span × multiplier
Toggle each metric between
1. % of Baseline
2. Log % of Baseline
3. Normalized (PoP—period-over-period)
Underlying calculations:
• Net Change
– % vs baseline = (close ÷ close − 1) × 100
– Log % vs baseline = log(close ÷ close ) × 100
– Normalized (PoP) = (Δ ÷ √span) ÷ SMA(|Δ one-bar|, span × mult)
• Standard Deviation
– % of mean = SD(span) ÷ SMA(close, span) × 100
– Log % of mean = log(SD(span) ÷ SMA(close, span) + 1) × 100
– Normalized (PoP) = (SD(span) − SD(span ago)) ÷ SMA(RMS deviations, span × mult)
• Average True Range
– % vs TrueMid = SMA(TR ÷ TrueMid, span) × 100
– Log % vs TrueMid = SMA(log(TR ÷ TrueMid + 1), span) × 100
– Normalized (PoP) = (ATR(span) − ATR(span ago)) ÷ SMA(one-bar TR, span × mult)
TriWAP (Anchored)TriWAP (Anchored)
Anchor volume-weighted, time-weighted, and TrueRange-weighted average prices plus dynamic bands over any calendar span.
Metrics
• VWAP: Anchored volume-weighted average price (hlc3 × volume) over the span, starting at the first bar
• TWAP: Anchored time-weighted average price (ohlc4) over the span, starting at the first bar
• TrueWAP: Anchored TrueRange-weighted average price (TrueMid × TrueRange) over the span, starting at the first bar
• Bands: Upper and lower envelopes at ±mult × volatility (or ±mult % of WAP in percent mode)
• Anchor Line: Horizontal line at the span’s opening price
• Settlement Lines (LastVWAP, LastTWAP, LastTrueWAP): Prior span’s final VWAP, TWAP, and TrueWAP
Toggle Options
• Show VWAP | Show V-Bands | Show LastVWAP
• Show TWAP | Show T-Bands | Show LastTWAP
• Show TrueWAP | Show True-Bands | Show LastTrueWAP
• Show Anchor Line | Bold Anchor Line | Shade Between Bands
Underlying Calculations
VWAP
• hlc3 = (high + low + close) ÷ 3
• VWAP = cumulative(hlc3 × volume) ÷ cumulative(volume)
TWAP
• ohlc4 = (open + high + low + close) ÷ 4
• TWAP = cumulative(ohlc4) ÷ bar count
TrueWAP
• range
— first bar: high - low
— otherwise: TrueRange
• mid
— first bar: (high + low) ÷ 2
— otherwise: TrueMid
• TrueWAP = cumulative(mid × range) ÷ cumulative(range)
Volatility & Lookback
• Method: Std Dev, MAD, ATR-scaled, Percent
• Lookback spans: number of spans (current + previous)
Weighted Average Volatility
• Weight each span’s volatility by its share of the total bar count
• Weights sum to 100%, ensuring proportional contribution
Band Widths & Edges
• width = multiplier × volatility (or WAP × mult / 100 in percent mode)
• upper = WAP + width
• lower = WAP − width
TriWMA (Rolling)TriWMA (Rolling)
Compute rolling volume-weighted, time-weighted, and TrueRange-weighted moving averages plus dynamic bands over a specified lookback window.
Metrics
• VWMA: Rolling volume-weighted moving average (hlc3 × volume) over the lookback window
• TWMA: Rolling time-weighted moving average (ohlc4) over the lookback window
• TrueWMA: Rolling TrueRange-weighted moving average (TrueMid × TrueRange) over the lookback window
• Bands: Upper and lower envelopes at ±mult × volatility (or ±mult % of WMA in percent mode)
• Lagged SMA: SMA from lookback bars ago
Toggle Options
• Show VWMA | Show V-Bands
• Show TWMA | Show T-Bands
• Show TrueWMA | Show True-Bands
• Show Lagged SMA | Bold Lagged SMA | Shade Between Bands
Underlying Calculations
VWMA
• hlc3 = (high + low + close) ÷ 3
• VWMA = sum(hlc3 × volume, lookback) ÷ sum(volume, lookback)
TWMA
• ohlc4 = (open + high + low + close) ÷ 4
• TWMA = sum(ohlc4, lookback) ÷ lookback
TrueWMA
• range = TrueRange
• mid = TrueMid
• TrueWMA = sum(mid × range, lookback) ÷ sum(range, lookback)
Volatility & Lookback
• Method: Std Dev, MAD, ATR-scaled, Percent
• Lookback bars: number of bars for volatility lookback
Band Widths & Edges
• width = multiplier × volatility (or WMA × mult / 100 in percent mode)
• upper = WMA + width
• lower = WMA − width
Macro S&D AlphaMacro S&D Suite: Part 1 — Alpha Zones (Macro Structure S&D)
Title: Macro S&D Suite: Part 1 — Alpha Zones (Macro Structure S&D)
Description:
Overview
Macro S&D Alpha is the foundational component of our system, designed to identify institutional-level supply and demand zones across Weekly, Daily, and 4H timeframes. It captures the structural blueprint of the market by filtering out weak swings and highlighting zones that historically attract major liquidity.
How It Works
• Volatility-Weighted Swings: Detects key pivot points using swing duration, price rejection intensity, and volatility scores
• Auto-Zone Drawing: Plots supply (resistance) and demand (support) zones from validated macro pivots
• Dynamic Updates: Zones extend and adjust only when the structure confirms a significant change
• Noise Reduction: Filters minor or untested pivots to highlight meaningful levels with proven historical relevance
Use Case
Add Alpha to your higher-timeframe charts (Daily/4H) to define your structural market bias. These zones help identify potential reversals, trend continuations, and breakout regions. Alpha serves as the macro map for directional decision-making.
How It Integrates with Beta
Alpha defines where the market is most likely to respond — at key macro structural zones.
Beta sharpens the focus with precise entry and exit zones on lower timeframes.
When the two align — for example, a Micro 1 or 5 rejection within an Alpha zone — this often marks a high-probability reversal, breakout, or pullback setup with reduced risk and increased conviction.
What Makes It Unique
Alpha is not a standard support/resistance or swing high/low script. It uses a proprietary multi-factor scoring model to determine which historical pivots carry institutional weight. This allows traders to focus only on the most reliable structural zones over multi-week horizons.
Technical Note
This script is Part 1 of the Macro S&D Suite. Due to TradingView's line and object limits, the suite is divided into modular tools:
• Part 1 – Alpha: Macro structure zones (this script)
• Part 2 – Beta: Intraday tactical zones (published separately)
Educational Support & System Guide
This script is accompanied by a 25-page Trading Rules Guide, outlining how to apply our zone logic, entry/exit rules, and execution structure.
All approved users receive daily support and real-time guidance, applying the exact identical setups we use in live trading — across indices, FX, crypto, and commodities.
Compatibility Note
Alpha is primarily designed for structure-based price action trading, but it also works well in conjunction with external tools such as VWAP, volume profile, or basic trend overlays.
Traders can keep their workflow clean or layer additional confluence to suit their strategy.
Invite-Only Access
Access to this script is reserved for active members of our MacroStructure community.
If you're interested in exploring the system, we offer a 14-day no-obligation trial — no signup, no credit card, and no risk.
Send us your TradingView username via direct message, and we'll activate full access so you can test the tool in live market conditions.
We also provide a daily playbook and real-time guidance during the London and New York sessions to help you apply the system the same way we do in our trades.
If it fits your workflow and improves your consistency, you're welcome to continue with a monthly subscription after the trial.
BTC CME Futures Gaps (BTCGapHunt_CME)BTC CME Futures Gaps Indicator
Overview
This indicator visualises price gaps between the daily close and open of Bitcoin CME futures (CME:BTC1!). These gaps are often revisited ("filled") by market price action and may serve as technical targets.
Thanks
... to Maven and the Blockchain Masons (x.com/Masons_DAO) to push me on this topic.
What Is a CME Gap?
CME Bitcoin Futures do not trade 24/7. Gaps form when the market reopens at a different price than where it last closed.
Gaps are often used as support/resistance or liquidity targets.
This indicator tracks, visualises, and alerts on these gaps.
Key Features
Automatic gap detection using daily open/close on CME:BTC1!
Dynamic gap size threshold based on ATR (Average True Range)
Highlight unfilled gaps and track partial fills visually
Alerts for gap formation and fill events
Parameter overlay showing real-time settings
Supported and Overrideable Parameters
ATR Length: Defines the lookback period for ATR calculation (default: 14)
Gap Size Multiplier: Multiplies the ATR to set the dynamic gap threshold (default: 1.0)
Proximity Threshold: Price distance from gap edge to consider it filled (default: 100 USD)
Max Gaps Tracked: Maximum number of concurrent gaps shown (default: 50)
Alerts Enabled: Toggle alerts for gap formation and gap fill events
How the Gap Size Is Calculated
Minimum Gap Size = ATR(14) * Gap Size Multiplier
ATR Length and Gap Size Multiplier are configurable.
Gap threshold adjusts dynamically with market volatility.
Visual Guide
Red Box: Fully unfilled gap
Lemon Yellow Box: Partially filled gap
Right Margin Boxes: Snapshot of unfilled gaps for quick access
Top-Right Panel: Current ATR, Gap Size, Thresholds, etc.
Alerts
Gap Formed: A new gap is detected.
Gap Filled: The gap is either partially or fully filled.
Recommended Timeframes
1H, 4H, 1D (best resolution)
Designed for BTC spot/perpetual charts (e.g., BTCUSD, BTCUSDT)
How To Use
Add the script to your BTC chart.
Monitor red/yellow boxes for unfilled gaps.
Check config panel for current threshold and settings.
Enable alerts via TradingView for real-time updates.
Notes
Up to 50 gaps are tracked (adjustable).
Data source: CME futures via request.security.
All visuals and alerts are time-synced with your chart.
Disclaimer
This script is for educational purposes only. Trade at your own risk.
Dollar Volume + SD [ZTD]### So, What's the Big Deal with SD Dollar Volume?
TL:DR
What you see:
1. $ Volume = (Price * Volume) / 1M (we divide it by 1M by default so you don't have to look at 12 digits but you can select between 100k/1M/10M)
2. User selected M.A. period with difference sources
3. Up to 4 Standard Deviation from that M.A.
4. Color coded (explained below)
That's it, no fancy useless multi color rainbows. Functional, bringing depth and clarity to your analysis based on reality not optical illusion.
--------------
The Long version
You know how we've always looked at volume? It's a classic, but it's got a blind spot. A million shares traded when a stock is at $10 is a completely different ballgame from a million shares traded when it's at $200. The first is $10M in action; the second is $200M. Traditional volume treats them the same, but they are not the same story.
That's the whole idea behind the **Dollar Volume Standard Deviation (SD $VVOLUME)** indicator. Instead of just counting shares, it tracks the **actual dollar amount** ( also refered as Dollar Volume) changing hands. This gives you a much clearer picture of the real financial power behind a price move. It helps you see when the "big money" is truly stepping in or backing off.
Think about it this way: after a 20% drop on earnings, you might see a 10% volume increase and think, "Wow, buyers are stepping in!" But if you look at the *value traded*, it might actually be lower than the day before because the share price is so much cheaper. This indicator cuts through that noise.
What about that smaller stock you bought that suddenly doubles in prices in a matter of months. Do you really thing the volume you are looking at carries any meaning anymore?
On longer time frame? Think about Volume traded vs Value Traded on NVDA for example. Looking at volume alone on those charts is absolutely meaningless. I even wonder why volume alone ever existed in the first place as an indicator.
### How to Use It in Your Trading
This isn't just theory; here’s how you can actually use it to make better decisions.
#### Reading the Indicator
The indicator is designed to be visual and intuitive. Here’s what you're looking at:
* **The Bars:** Each bar on the indicator represents the total dollar value traded during that period. Bigger bar, more money moved.
* **The White Line:** This is your baseline—the moving average of the value traded. It shows you the normal level of money flow for that stock.
* **Bar Colors (The Important Part):**
* **Direction:** **Green** means the stock closed higher in that period. **Red** means it closed lower. Simple enough.
* **Intensity:** This is the real magic. The brightness or intensity of the color tells you how significant that money flow was. A dull, faded bar means the value traded was pretty average. A **bright, intense bar** means the value was way above normal (usually 1 or 2 standard deviations away from the average). *That's* when you need to pay attention.
#### Actionable Signals for Your Strategy
* **Spotting High-Conviction Moves:** When you see a bright, intense red or green bar that towers over the others, that's a signal of major conviction. Big players are making a decisive move, either buying up everything in sight or dumping their positions. This is your cue that something significant is happening.
* **Confirming a Trend's Strength:** Are you in a strong uptrend? Look for a consistent pattern of bright green bars. This tells you that significant capital is flowing in to support the rising price. It's confirmation that the trend has legs.
* **Catching a Weakening Trend (Divergence):** This is a powerful one. Imagine the stock price is grinding out new highs, but on the SD
V
VOLUME
indicator, the bars are getting smaller and less intense. That's a major red flag. It shows that even though the price is inching up, the real money isn't following. There's no conviction, and the trend could be about to reverse.
* **Gauging Liquidity:** If the bars are consistently low and dull, it's a sign that interest in the stock is drying up. It's a good way to spot illiquid conditions and avoid getting trapped in a stock that's hard to get out of.
Ultimately, SD SEED_YASHALGO_NSE_BREADTH:VOLUME helps you see the market from a different angle. It's not just about the noise of shares being traded; it's about following the money.
Hurst Exponent Adaptive Filter (HEAF) [PhenLabs]📊 PhenLabs - Hurst Exponent Adaptive Filter (HEAF)
Version: PineScript™ v6
📌 Description
The Hurst Exponent Adaptive Filter (HEAF) is an advanced Pine Script indicator designed to dynamically adjust moving average calculations based on real time market regimes detected through the Hurst Exponent. The intention behind the creation of this indicator was not a buy/sell indicator but rather a tool to help sharpen traders ability to distinguish regimes in the market mathematically rather than guessing. By analyzing price persistence, it identifies whether the market is trending, mean-reverting, or exhibiting random walk behavior, automatically adapting the MA length to provide more responsive alerts in volatile conditions and smoother outputs in stable ones. This helps traders avoid false signals in choppy markets and capitalize on strong trends, making it ideal for adaptive trading strategies across various timeframes and assets.
Unlike traditional moving averages, HEAF incorporates fractal dimension analysis via the Hurst Exponent to create a self-tuning filter that evolves with market conditions. Traders benefit from visual cues like color coded regimes, adaptive bands for volatility channels, and an information panel that suggests appropriate strategies, enhancing decision making without constant manual adjustments by the user.
🚀 Points of Innovation
Dynamic MA length adjustment using Hurst Exponent for regime-aware filtering, reducing lag in trends and noise in ranges.
Integrated market regime classification (trending, mean-reverting, random) with visual and alert-based notifications.
Customizable color themes and adaptive bands that incorporate ATR for volatility-adjusted channels.
Built-in information panel providing real-time strategy recommendations based on detected regimes.
Power sensitivity parameter to fine-tune adaptation aggressiveness, allowing personalization for different trading styles.
Support for multiple MA types (EMA, SMA, WMA) within an adaptive framework.
🔧 Core Components
Hurst Exponent Calculation: Computes the fractal dimension of price series over a user-defined lookback to detect market persistence or anti-persistence.
Adaptive Length Mechanism: Maps Hurst values to MA lengths between minimum and maximum bounds, using a power function for sensitivity control.
Moving Average Engine: Applies the chosen MA type (EMA, SMA, or WMA) to the adaptive length for the core filter line.
Adaptive Bands: Creates upper and lower channels using ATR multiplied by a band factor, scaled to the current adaptive length.
Regime Detection: Classifies market state with thresholds (e.g., >0.55 for trending) and triggers alerts on regime changes.
Visualization System: Includes gradient fills, regime-colored MA lines, and an info panel for at-a-glance insights.
🔥 Key Features
Regime-Adaptive Filtering: Automatically shortens MA in mean-reverting markets for quick responses and lengthens it in trends for smoother signals, helping traders stay aligned with market dynamics.
Custom Alerts: Notifies on regime shifts and band breakouts, enabling timely strategy adjustments like switching to trend-following in bullish regimes.
Visual Enhancements: Color-coded MA lines, gradient band fills, and an optional info panel that displays market state and trading tips, improving chart readability.
Flexible Settings: Adjustable lookback, min/max lengths, sensitivity power, MA type, and themes to suit various assets and timeframes.
Band Breakout Signals: Highlights potential overbought/oversold conditions via ATR-based channels, useful for entry/exit timing.
🎨 Visualization
Main Adaptive MA Line: Plotted with regime-based colors (e.g., green for trending) to visually indicate market state and filter position relative to price.
Adaptive Bands: Upper and lower lines with gradient fills between them, showing volatility channels that widen in random regimes and tighten in trends.
Price vs. MA Fills: Color-coded areas between price and MA (e.g., bullish green above MA in trending modes) for quick trend strength assessment.
Information Panel: Top-right table displaying current regime (e.g., "Trending Market") and strategy suggestions like "Follow trends" or "Trade ranges."
📖 Usage Guidelines
Core Settings
Hurst Lookback Period
Default: 100
Range: 20-500
Description: Sets the period for Hurst Exponent calculation; longer values provide more stable regime detection but may lag, while shorter ones are more responsive to recent changes.
Minimum MA Length
Default: 10
Range: 5-50
Description: Defines the shortest possible adaptive MA length, ideal for fast responses in mean-reverting conditions.
Maximum MA Length
Default: 200
Range: 50-500
Description: Sets the longest adaptive MA length for smoothing in strong trends; adjust based on asset volatility.
Sensitivity Power
Default: 2.0
Range: 1.0-5.0
Description: Controls how aggressively the length adapts to Hurst changes; higher values make it more sensitive to regime shifts.
MA Type
Default: EMA
Options: EMA, SMA, WMA
Description: Chooses the moving average calculation method; EMA is more responsive, while SMA/WMA offer different weighting.
🖼️ Visual Settings
Show Adaptive Bands
Default: True
Description: Toggles visibility of upper/lower bands for volatility channels.
Band Multiplier
Default: 1.5
Range: 0.5-3.0
Description: Scales band width using ATR; higher values create wider channels for conservative signals.
Show Information Panel
Default: True
Description: Displays regime info and strategy tips in a top-right panel.
MA Line Width
Default: 2
Range: 1-5
Description: Adjusts thickness of the main MA line for better visibility.
Color Theme
Default: Blue
Options: Blue, Classic, Dark Purple, Vibrant
Description: Selects color scheme for MA, bands, and fills to match user preferences.
🚨 Alert Settings
Enable Alerts
Default: True
Description: Activates notifications for regime changes and band breakouts.
✅ Best Use Cases
Trend-Following Strategies: In detected trending regimes, use the adaptive MA as a trailing stop or entry filter for momentum trades.
Range Trading: During mean-reverting periods, monitor band breakouts for buying dips or selling rallies within channels.
Risk Management in Random Markets: Reduce exposure when random walk is detected, using tight stops suggested in the info panel.
Multi-Timeframe Analysis: Apply on higher timeframes for regime confirmation, then drill down to lower ones for entries.
Volatility-Based Entries: Use upper/lower band crossovers as signals in adaptive channels for overbought/oversold trades.
⚠️ Limitations
Lagging in Transitions: Regime detection may delay during rapid market shifts, requiring confirmation from other tools.
Not a Standalone System: Best used in conjunction with other indicators; random regimes can lead to whipsaws if traded aggressively.
Parameter Sensitivity: Optimal settings vary by asset and timeframe, necessitating backtesting.
💡 What Makes This Unique
Hurst-Driven Adaptation: Unlike static MAs, it uses fractal analysis to self-tune, providing regime-specific filtering that's rare in standard indicators.
Integrated Strategy Guidance: The info panel offers actionable tips tied to regimes, bridging analysis and execution.
Multi-Regime Visualization: Combines adaptive bands, colored fills, and alerts in one tool for comprehensive market state awareness.
🔬 How It Works
Hurst Exponent Computation:
Calculates log returns over the lookback period to derive the rescaled range (R/S) ratio.
Normalizes to a 0-1 value, where >0.55 indicates trending, <0.45 mean-reverting, and in-between random.
Length Adaptation:
Maps normalized Hurst to an MA length via a power function, clamping between min and max.
Applies the selected MA type to close prices using this dynamic length.
Visualization and Signals:
Plots the MA with regime colors, adds ATR-based bands, and fills areas for trend strength.
Triggers alerts on regime changes or band crosses, with the info panel suggesting strategies like momentum riding in trends.
💡 Note:
For optimal results, backtest settings on your preferred assets and combine with volume or momentum indicators. Remember, no indicator guarantees profits—use with proper risk management. Access premium features and support at PhenLabs.
SAFE Leverage x100Safe Leverage x100 is an indicator designed to help traders choose prudent , realistic, and dynamic leverage , adapted to the timeframe and volatility of the asset they are trading.
B ased on rigorous statistical and practical observation , this indicator does not propose fixed rules, but rather provides a visual estimate of the maximum leverage a typical trade can tolerate without being liquidated , based on the current candle's movement range. At the same time, it automatically suggests a more conservative leverage (by default, half of the maximum) for more controlled risk management.
Just identify which asset accepts the maximum x100 and win.!!
Fundur - Trend LinesFundur - Trend Lines: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Lines is an advanced multi-layered trend analysis system that combines adaptive trend line technology, momentum analysis, and intelligent signal generation into one comprehensive trading tool. This indicator goes beyond traditional moving averages by utilizing volatility-adjusted trend lines that dynamically adapt to market conditions, providing traders with precise trend strength measurements and actionable trading signals.
What Makes Trend Lines Unique?
The Trend Lines indicator introduces Adaptive Trend Line Technology - a sophisticated methodology that uses Average True Range (ATR) calculations to create trend lines that respond intelligently to market volatility. Unlike static indicators, Trend Lines provides dynamic analysis that adapts its sensitivity based on current market conditions, offering more accurate trend identification and strength assessment.
Core Methodology
The indicator operates on the principle that trend strength can be quantified by analyzing the relationship between multiple adaptive trend lines, momentum indicators, and market structure. By combining Alignment Analysis , Distance Measurements , Momentum Confirmation , and Volatility Expansion Potential , the system generates a comprehensive trend strength score from 0-100% with corresponding trading signals.
Key Features
🎯 Adaptive Trend Line System Slow Trend Line : Primary trend direction with lower sensitivity for major trend identification Fast Trend Line : Higher sensitivity trend line for early trend change detection Volatility Adaptation : Both lines automatically adjust to market volatility using ATR calculations Cloud Visualization : Colored areas between trend lines show trend strength and direction
📊 Comprehensive Trend Strength Analysis Quantified Strength (0-100%) : Precise trend strength measurement combining multiple factors Alignment Score : Measures agreement between multiple trend line systems Distance Analysis : Evaluates price proximity to trend lines using ATR normalization Momentum Integration : Incorporates Awesome Oscillator for momentum confirmation Squeeze Factor : Identifies volatility expansion potential for breakout opportunities
🧠 Intelligent Signal Generation Position Signals : Clear ADD LONG, ADD SHORT, REDUCE, HOLD recommendations Risk Zone Classification : STRONG, MEDIUM, WEAK trend categorization Trend Direction : Bullish, Bearish, or Neutral trend identification Dynamic Updates : Real-time signal adjustments based on changing conditions
⚡ Enhanced Momentum Analysis Smoothed Momentum : Configurable momentum smoothing to reduce noise Acceleration Detection : Identifies momentum acceleration and deceleration Divergence Alerts : Detects price-momentum divergences for reversal warnings Directional Bias : Momentum confirmation for trend direction validation
🔍 Advanced Market Structure Detection Momentum Squeeze : Identifies low-volatility periods preceding major moves Volatility Expansion : Detects when markets break out of consolidation phases Trend Weakness Detection : Early warning system for deteriorating trends Structure Transition : Identifies when trends change character or direction
🎨 Professional Visual Interface Comprehensive Analysis Table : All key metrics displayed in organized format Visual Strength Bar : Graphical representation of trend strength Color-Coded Components : Intuitive color scheme for quick analysis Customizable Display : Flexible positioning and sizing options
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Trend Lines" Add the indicator to your chart
Step 2: Basic Configuration
Main Features Settings ✅ Show Trend Analysis Table : ON (Essential for comprehensive analysis) ✅ Enable Trend Strength Analysis : ON (Core functionality) ✅ Generate Trading Signals : ON (For position management guidance)
Trend Lines Display ✅ Show Slow Trend Line : ON (Primary trend identification) ✅ Show Fast Trend Line : ON (Early signal detection) Trend Cloud Transparency : 89% (Default recommended, adjust for visibility)
Table Positioning Table Position : Top Right (recommended for most setups) Table Size : Normal (adjust based on screen size)
Step 3: Advanced Analysis Configuration
Enhanced Features (Optional) ✅ Enhanced Momentum Analysis : ON (for more accurate signals) ✅ Divergence Detection : ON (for reversal warnings) ⚠️ Momentum Squeeze Analysis : OFF initially (can add visual complexity)
Sensitivity Settings Divergence Sensitivity : 5 (Default - lower = more sensitive) Momentum Smoothing : 3 (Default - higher = smoother signals)
Step 4: Alert Configuration
Essential Alerts (Recommended) Trading Signal Alerts : Enable for position changes Trend Strength Change Alerts : Enable for trend monitoring Strength Change Threshold : 15% (Default recommended)
Advanced Alerts (Optional) Divergence Alerts : Enable for reversal warnings Early Weakness Alerts : Enable for risk management Momentum Squeeze Alerts : Enable for breakout opportunities Trend Line Cross Alerts : Enable for level-based signals
Basic Trading Guide
Understanding Trend Strength
The indicator's foundation is the Trend Strength Score - a quantified measurement (0-100%) that combines four key factors:
Strong Trends (75%+ Strength) 🟢 Characteristics : High alignment, close price-to-trend proximity, strong momentum Signals : ADD LONG (bullish) or ADD SHORT (bearish) Strategy : Aggressive position building, trend continuation trades Risk : Lower risk due to strong trend confirmation
Medium Trends (35-75% Strength) 🟡 Characteristics : Mixed signals, moderate alignment, transitional phases Signals : HOLD current positions Strategy : Conservative approach, wait for clearer signals Risk : Medium risk, requires careful monitoring
Weak Trends (Below 35% Strength) 🔴 Characteristics : Poor alignment, distant from trend lines, weak momentum Signals : REDUCE positions or CLOSE Strategy : Risk reduction, position unwinding Risk : High risk, trend likely changing or failing
Entry Strategies
Primary Strategy: Trend Continuation Entries Setup : Strong trend strength (75%+) with clear directional bias Entry Trigger : ADD LONG or ADD SHORT signal confirmation Direction : Follow the trend direction (Bullish ⬆ or Bearish ⬇) Timing : Enter on signal generation or price pullback to trend lines
Stop Loss Placement Conservative Method : Beyond the opposite trend line Aggressive Method : Below/above recent swing points For Long Positions : Below the Slow Trend Line For Short Positions : Above the Slow Trend Line Dynamic Adjustment : Move stops with trend line progression
Profit Taking Strategy
For Long Positions (Bullish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
For Short Positions (Bearish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
Alternative Strategy: Divergence-Based Reversal Entries Setup : Bullish or bearish divergence detected with weakening trend strength Entry : On trend direction change confirmation Risk Management : Tight stops due to counter-trend nature Targets : Opposite trend line or previous swing levels
Risk Management Framework
Position Sizing Based on Trend Strength Strong Trends (75%+) : Full position size (within risk tolerance) Medium Trends (35-75%) : Reduced position size (50-75% of normal) Weak Trends (Below 35%) : Minimal or no new positions Transitional Periods : Smallest position sizes due to uncertainty
Dynamic Risk Adjustment Increasing Strength : Can add to positions gradually Decreasing Strength : Begin profit-taking and position reduction Rapid Strength Loss : Quick position reduction or exit Divergence Warning : Tighten stops and prepare for reversal
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Settings Optimization: Momentum Smoothing: 2 (more responsive) Divergence Sensitivity: 3 (higher sensitivity) Enhanced Momentum Analysis: ON All alerts: ON for rapid signal updates
Visual Settings: Table Size: Small (less screen space) Table Position: Top Right Trend Cloud Transparency: 85% (subtle background)
Trading Approach: Focus on quick ADD signals in strong trends Use Fast Trend Line for entry timing Quick profit-taking at first sign of strength decline Very tight risk management due to lower timeframe noise
Setup 2: Day Trading Configuration (5-15 minute charts)
Settings Optimization: All default settings work well Enable Momentum Squeeze Analysis for breakout identification Divergence Detection: ON for reversal warnings Trend Strength Change Threshold: 12% (more sensitive)
Visual Settings: Table Size: Normal Show all trend analysis components Trend Cloud Transparency: 89% (default)
Trading Approach: Wait for clear trend strength above 65% before entering Use momentum squeeze breakouts for early entries Hold positions through medium strength phases Exit on REDUCE signals or strength below 40%
Setup 3: Swing Trading Configuration (1-4 hour charts)
Settings Optimization: Momentum Smoothing: 4 (smoother for higher timeframe) Divergence Sensitivity: 7 (less sensitive, higher quality signals) Enhanced Momentum Analysis: ON Early Weakness Alerts: ON (important for swing trades)
Visual Settings: Table Size: Normal or Large Focus on trend strength and direction components Enable all visual features for comprehensive analysis
Trading Approach: Require trend strength above 70% for new positions Hold through temporary strength dips if above 50% Use divergence signals for early exit warnings Focus on major trend changes for position adjustments
Setup 4: Position Trading Configuration (4H-Daily charts)
Settings Optimization: Momentum Smoothing: 5 (maximum smoothing) Divergence Sensitivity: 10 (only high-quality divergences) Strength Change Threshold: 20% (major changes only) Focus on trend direction and strength alerts
Visual Settings: Table Size: Large (detailed analysis) Clean visual setup focusing on major components Minimal clutter for long-term perspective
Trading Approach: Only enter on very strong trends (80%+ strength) Hold through significant strength fluctuations Focus on major trend direction changes Use weekly/monthly trend alignment for confirmation
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs: Standard settings work well due to 24-hour markets Pay attention to session-based strength changes Use momentum squeeze for breakout trading Enable all alert types for continuous monitoring
For Cryptocurrency: Reduce momentum smoothing (2-3) due to high volatility Increase divergence sensitivity (3-4) for early warnings Focus on strength changes above 20% threshold Use squeeze analysis for breakout opportunities
For Stock Indices: Standard settings appropriate for most indices Enable early weakness alerts for risk management Consider market hours for signal validity Use higher timeframes for better signal quality
Visual Components
Trend Analysis Table Trend Strength : Percentage with visual strength bar Trend Signal : Current position recommendation Risk Zone : STRONG/MEDIUM/WEAK classification Alignment : Trend line agreement analysis Distance : Price proximity to trend lines Momentum : Current momentum direction and strength
Trend Lines and Clouds Colored Clouds : Green for bullish trends, red for bearish trends Cloud Intensity : Opacity reflects trend strength Dynamic Colors : Automatically adjust based on trend direction
Momentum Squeeze Visualization Yellow Highlights : Above and below price during squeeze periods Squeeze Indication : Identifies low-volatility consolidation Breakout Preparation : Visual cue for potential explosive moves
Alert System
Trading Signal Alerts ADD LONG : Strong bullish trend confirmed ADD SHORT : Strong bearish trend confirmed REDUCE : Trend weakness detected, position reduction recommended HOLD : Maintain current positions, no change needed
Trend Analysis Alerts Strength Increase : Trend gaining momentum Strength Decrease : Trend losing momentum Early Weakness : Warning of potential trend deterioration Trend Direction Change : Major trend shift detected
Technical Alerts Bullish Divergence : Price falling but momentum rising Bearish Divergence : Price rising but momentum falling Momentum Squeeze Start : Volatility contraction beginning Momentum Squeeze End : Breakout from low volatility period Trend Line Cross : Price crossing above/below trend lines
Setting Up Alerts Enable desired alert types in indicator settings Create TradingView alerts using "Fundur - Trend Lines" as source Configure notification methods (email, SMS, app notifications) Test alerts with paper trading before live implementation Adjust alert frequency settings to avoid spam
Best Practices
Trend Strength Interpretation Above 75% : High confidence trades, full position sizes 50-75% : Moderate confidence, reduced positions Below 50% : Low confidence, minimal or no positions Rapid Changes : Pay attention to sudden strength shifts
Signal Management Don't Chase : Wait for clear signals rather than predicting Confirm with Price Action : Use chart patterns for additional confirmation Respect Risk Zones : Adjust position sizes based on trend classification Monitor Alignment : Strong alignment increases signal reliability
Multi-Timeframe Integration Higher Timeframe Bias : Use daily/weekly for overall trend direction Lower Timeframe Entries : Use hourly/15min for precise entry timing Confirmation Requirement : Ensure alignment between timeframes Conflict Resolution : Higher timeframe takes precedence
Common Mistakes to Avoid
Signal Misinterpretation Ignoring Trend Strength : Don't trade weak signals (below 60%) Fighting the Trend : Don't go against strong trend directions Overreliance on Single Component : Consider all analysis factors Impatience : Wait for clear STRONG trend classification
Risk Management Errors Fixed Position Sizes : Adjust sizes based on trend strength Ignoring REDUCE Signals : Take profits when indicator suggests No Stop Losses : Always use stops beyond trend lines Overleveraging Weak Signals : Use smaller positions in MEDIUM zones
Technical Analysis Errors Ignoring Divergences : Pay attention to momentum warnings Missing Squeeze Opportunities : Watch for breakout setups Poor Timeframe Selection : Match timeframe to trading style Alert Fatigue : Don't enable too many alerts simultaneously
Advanced Techniques
Divergence Trading Early Reversal Detection : Use divergences to anticipate trend changes Confirmation Required : Wait for trend strength decline confirmation Tight Risk Management : Use smaller positions for counter-trend trades Quick Exits : Take profits rapidly on divergence trades
Momentum Squeeze Strategies Breakout Preparation : Position before squeeze resolution Direction Bias : Use trend direction for breakout direction Volume Confirmation : Combine with volume analysis when possible False Breakout Protection : Use tight stops for failed breakouts
Multi-Component Analysis Alignment Priority : Perfect alignment (100%) provides highest confidence Distance Consideration : Closer to trend lines = higher probability Momentum Confirmation : Rising momentum supports trend direction Squeeze Integration : High squeeze factor increases breakout potential
Dynamic Position Management Scaling In : Add to positions as trend strength increases Scaling Out : Reduce positions as trend strength decreases Stop Trailing : Move stops with Fast Trend Line progression Profit Optimization : Use strength peaks for profit-taking timing
Conclusion
The Fundur - Trend Lines indicator represents a sophisticated approach to trend analysis, combining adaptive trend line technology with comprehensive strength measurement and intelligent signal generation. By quantifying trend strength through multiple analytical components, this indicator provides traders with objective, data-driven insights for making informed trading decisions.
The indicator's strength lies in its ability to adapt to changing market conditions while providing clear, actionable signals. The comprehensive trend strength analysis removes guesswork from trend trading, allowing traders to size positions appropriately and manage risk effectively based on quantified market conditions.
Success with the Trend Lines indicator comes from understanding that trend strength is dynamic and requires continuous monitoring. The 0-100% strength scale provides an objective framework for position management, while the multi-component analysis ensures robust signal generation across different market conditions.
Remember that this indicator works best when combined with proper risk management, position sizing, and market context awareness. Start with conservative settings and smaller position sizes while learning the indicator's behavior in different market environments. The comprehensive alert system helps maintain awareness of changing conditions, but successful trading still requires discipline and adherence to your trading plan.
For optimal results, practice with the indicator across different timeframes and market conditions, always prioritizing risk management over profit potential, and maintaining realistic expectations about market behavior and indicator performance.
Volume Profile + VWAP + Long Wick StrategyVolume Profile + VWAP + Long Wick Strategy
This indicator combines Volume Profile (VP), VWAP (Volume Weighted Average Price) with deviation bands, and a long wick candle strategy to identify potential support/resistance zones and trading signals. It detects "power wicks" (long shadows with high volume near key levels like POC, VAH/VAL, or VWAP) as reversal setups, generating buy/sell alerts after confirmation wicks appear near these zones.
Key Features:
Volume Profile: Displays VP histogram over a lookback period, highlighting POC (Point of Control), VAH/VAL (Value Area High/Low) with customizable rows and thresholds.
VWAP & Bands: Plots VWAP with 1-3 std dev bands; filters signals based on trend and proximity to bands.
Long Wick Detection: Identifies strong ("power") and signal wicks based on wick/body ratios, ATR size, and volume multipliers. Supports Market Maker (MM) volume bonuses for liquidity zones.
Trading Signals: Generates BUY/SELL arrows when price retests wick levels with confirmation, limited by max signals per zone and min wait bars. Filtered by MTF (multi-timeframe) alignment (e.g., higher TF EMA trend and candle direction) and VWAP trend.
Sessions: Shows POC/VAH/VAL for Asian, London, and NY sessions with optional active-only display.
MTF Analysis: Scores bullish/bearish alignment across two higher timeframes for signal filtering.
Visuals: Liquidity sweep boxes, resistance/support lines, info table (levels, signals remaining, VWAP status), and MTF status box.
Customizable: Adjust wick ratios, volume thresholds, VP rows, MTF periods, and display options.
Ideal for intraday/scalping on forex/crypto/stocks. Use on lower TFs with MTF filters for confluence. Not financial advice—backtest thoroughly!
ATR 5 min- FOREX + XAUThis indicator displays the Average True Range (ATR) over the last 20 candles, calculated using the 5-minute timeframe, regardless of the chart timeframe you're currently viewing.
It supports:
All major forex pairs
XAUUSD (Gold), with ATR displayed in full dollars
Key Features
Always reflects 5-minute volatility
Accurate pip scaling:
JPY pairs = 1 pip = 0.01
Other forex pairs = 1 pip = 0.0001
XAUUSD = 1 pip = 1.00 (i.e., full dollar)
Clean and minimal top-right table display
Automatically adapts based on the instrument you're viewing
Helps traders gauge recent market volatility across timeframes
This is an ideal tool for scalpers, intraday traders, or swing traders who want to monitor short-term volatility conditions from any timeframe view.
Institutional HeatmapHeatmap Range - Volume Profile Visualization Indicator
What This Indicator Does
The Heatmap Range indicator provides a sophisticated volume profile visualization that displays price levels with the highest trading activity using color-coded heatmaps directly on your chart. Unlike traditional volume indicators, this tool shows WHERE the most significant trading occurred within specific price ranges over a customizable lookback period.
Advanced Volume Analysis
Volume-Weighted Price Levels: Calculates and displays up to 20 price levels based on actual trading volume
Customizable Time Period: Analyze volume distribution over 10-500 bars (default: 180 bars)
Smart Bin Sizing: Adjustable pip range (0.1-50 pips) for precise level identification
Peak Detection: Automatically identifies and centers display around highest volume areas
Visual Customization
3 Color Patterns:
Inverted Heat (Orange to Dark Red)
Inverted Cool (Orange to Dark Blue)
Inverted Purple (Light Pink to Dark Purple)
Transparency Control: 0-95% transparency for optimal chart readability
Adaptive Display: Shows most relevant levels centered around peak volume
Multi-Asset Support
Forex Pairs (EUR/USD, GBP/USD, etc.)
Precious Metals (Gold/XAUUSD, Silver/XAGUSD)
Futures (NQ, ES, YM, etc.)
Cryptocurrencies
Stock Indices
Customizable Parameters
Histogram Period (10-500, Default: 180) Bars to analyze for volume distribution
Bin Range (0.1-50 pips, Default: 5.0) Price range for each volume level
Color Pattern (1-3, Default: 1) Visual color scheme selection
Average Volume Period (10-200, Default: 100) Period for volume normalization
Max Display Levels (5-20, Default: 20) Maximum price levels to show
Transparency (0-95%, Default: 50%) Opacity of heatmap display
How to Use
For Day Traders
Identify key support/resistance levels based on actual volume
Spot high-probability reversal zones
Plan entries/exits around significant volume levels
For Swing Traders
Analyze longer-term volume distribution patterns
Identify major accumulation/distribution zones
Confirm breakout levels with volume validation
For Scalpers
Quick identification of intraday volume hotspots
Real-time volume level updates
Precise entry/exit timing around volume clusters
Visual Interpretation
Darker Colors: Higher volume concentration (stronger levels)
Lighter Colors: Lower volume concentration
Color Intensity: Directly correlates to volume strength at that price level
Level Positioning: Automatically centers around peak volume areas
Technical Specifications
Pine Script Version: v5
Chart Overlay: Yes
Max Bars Back: 1000
Performance Optimized: Limited to 200 bins for smooth operation
Real-time Updates: Dynamic calculation on each bar close
Getting Started
Add to Chart: Apply indicator to any supported timeframe
Adjust Period: Set histogram period based on your trading style
Choose Colors: Select color pattern that suits your chart theme
Fine-tune Levels: Adjust bin range and max levels for optimal display
Set Transparency: Balance visibility with chart clarity
Important Notes
Minimum Data Requirement: Needs at least 10 bars of history to function
Performance: Higher periods and smaller bin ranges require more processing
Volume Dependency: Most effective on instruments with consistent volume data
Timeframe Agnostic: Works on all timeframes from 1-minute to monthly
Status Information
The indicator includes a real-time information table showing:
Current settings (Period, Bin Range, Color Pattern, Transparency)
Indicator status (Active/Loading)
Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
Compatible with TradingView's Pine Script v5 | Optimized for all market conditions | Professional-grade volume analysis
Options Strategy V2.0📈 Options Strategy V2.0 – Intraday Reversal-Resilient Momentum System
Overview:
This strategy is designed specifically for intraday SPY, TSLA, MSFT, etc. options trading (0DTE or 1DTE), using high-probability signals derived from a confluence of technical indicators: EMA crossovers, RSI thresholds, ATR-based risk control, and volume spikes. The strategy aims to capture strong directional moves while avoiding overtrading, thanks to a built-in cooldown logic and optional time/session filters.
⚙️ Core Concept
The strategy executes trades only in the direction of the prevailing trend, determined by short- and long-term Exponential Moving Averages (EMA). Entry signals are generated when the Relative Strength Index (RSI) confirms momentum in the direction of the trend, and volume spikes suggest institutional activity.
To increase adaptability and user control, it includes a highly customizable parameter set for both long and short entries independently.
📌 Key Features
✅ Trend-Following Logic
Long entries are only allowed when EMA(short) > EMA(long)
Short entries are only allowed when EMA(short) < EMA(long)
✅ RSI Confirmation
Long: Requires RSI crossover above a configurable threshold
Short: Requires RSI crossunder below a configurable threshold
Optional rejection filters: Entry blocked above/below specific RSI extremes
✅ Volume Spike Filter
Confirms institutional participation by comparing current volume to an average multiplied by a user-defined factor.
✅ ATR-Based Risk Management
Both Stop Loss (SL) and Take Profit (TP) are dynamically calculated using ATR × a multiplier.
TP/SL ratio is fully configurable.
✅ Cooldown Control
After every trade, the system waits for a set number of bars before allowing new entries.
This prevents overtrading and increases signal quality.
Optionally, cooldown is ignored for reversal trades, ensuring the system can react immediately to a confirmed trend change.
✅ Candle Body Filter (Noise Control)
Avoids trades on candles with too small bodies relative to wicks (often noise or indecision candles).
✅ VWAP Confirmation (Optional)
Ensures price is trading above VWAP for long entries, or below for short entries.
✅ Time & Session Filters
Trades only during regular market hours (09:30–16:00 EST).
No-trade zone (e.g., 14:15–15:45 EST) to avoid low-liquidity traps or late-day whipsaws.
✅ End-of-Day Auto Close
All open positions are force-closed at 15:55 EST, protecting against overnight risk (especially relevant for 0DTE options).
📊 Visual Aids
EMA plots show trend direction
VWAP line provides real-time mean-reversion context
Stop Loss and Take Profit lines appear dynamically with each trade
Alerts notify of entry signals and exit triggers
🔧 Customization Panel
Nearly every element of the strategy can be tailored:
EMA lengths (short and long, for both sides)
RSI thresholds and length
ATR length, SL multiplier, and TP/SL ratio
Volume spike sensitivity
Minimum EMA distance filter
Candle body ratio filter
Session restrictions
Cooldown logic (duration + reversal exception)
This makes the strategy extremely versatile, allowing both conservative and aggressive configurations depending on the trader’s profile and the market context.
📌 Example Use Case: SPY Options (0DTE or 1DTE)
This system was designed and tested specifically for SPY and other intraday options trading, where:
Delta is around 0.50 or higher
Trades are short-lived (often 1–5 candles)
You aim to trade 1–3 signals per day, filtering out weak entries
🚫 Important Notes
It is not a scalping strategy; it relies on confirmed breakouts with trend support
No pyramiding or re-entries without cooldown to preserve risk integrity
Should be used with real-time alerts and manual broker execution
📈 Alerts Included
📈 Long Entry Signal
📉 Short Entry Signal
⚠️ Auto-closed all positions at 15:55 EST
✅ Proven Settings – Real Trades + Backtest Results
The current version of the strategy includes the optimal settings I’ve arrived at through extensive backtesting, as well as 3 months of real trading with consistent profitability. These results reflect real-world execution under live market conditions using 0DTE SPY options, with disciplined trade management and risk control.
🧠 Final Thoughts
Options Strategy V2.0 is a robust, highly tunable intraday strategy that blends momentum, trend-following, and volume confirmation. It is ideal for disciplined traders focused on SPY or other 0DTE/1DTE options, and it includes guardrails to reduce false signals and improve execution timing.
Perfect for those who seek precision, flexibility, and risk-defined setups—not blind automation.
%ATR + ΔClose HighlightScript Overview
This indicator displays on your chart:
Table of the last N bars that passed the ATR-based range filter:
Columns: Bar #, High, Range (High–Low), Low
Summary row: ATR(N), suggested Stop-Loss (SL = X % of ATR), and the current bar’s range as a percentage of ATR
Red badge on the most recent bar showing ΔClose% (the absolute difference between today’s and yesterday’s close, expressed as % of ATR)
Background highlights:
Blue fill under the most recent bar that met the filter
Yellow fill under bars that failed the filter
Hidden plots of ATR, %ATR, and ΔClose% (for use in strategies or alerts)
All table elements, fills, and plots can be toggled off with a single switch so that only the red ΔClose% badge remains visible.
Inputs
Setting Description Default
Length (bars) Lookback period for ATR and range filter (bars) 5
Upper deviation (%) Upper filter threshold (% of average ATR) 150%
Lower deviation (%) Lower filter threshold (% of average ATR) 50%
SL as % of ATR Stop-loss distance (% of ATR) 10%
Label position Table position relative to bar (“above” or “below”) above
Vertical offset (×ATR) Vertical spacing from the bar in ATR units 2.0
Show table & ATR plots Show or hide table, background highlights, and plots true
How It Works
ATR Calculation & Filtering
Computes average True Range over the last N bars.
Marks bars whose daily range falls within the specified upper/lower deviation band.
Table Construction
Gathers up to N most recent bars that passed the filter (or backfills from the most recent pass).
Formats each bar’s High, Low, and Range into fixed-width columns for neat alignment.
Stop-Loss & Percent Metrics
Calculates a recommended SL distance as a percentage of ATR.
Computes today’s bar range and ΔClose (absolute change in close) as % of ATR.
Chart Display
Table: Shows detailed per-bar data and summary metrics.
Background fills: Blue for the latest valid bar, yellow for invalid bars.
Hidden plots: ATR, %ATR, and ΔClose% (useful for backtesting).
Red badge: Always visible on the right side of the last bar, displaying ΔClose%.
Tips
Disable the table & ATR plots to reduce chart clutter—leave only the red ΔClose% badge for a minimalist volatility alert.
Use the hidden ATR fields (plot outputs) in TradingView Strategies or Alerts to automate volatility-based entries/exits.
Adjust the deviation band to capture “normal” intraday moves vs. outsized volatility spikes.
Load this script on any US market chart (stocks, futures, crypto, etc.) to instantly visualize recent volatility structure, set dynamic SL levels, and highlight today’s price change relative to average true range.
TCT - VIX Live DisplayA highly customizable VIX volatility indicator that displays real-time VIX values in a dynamic table overlay. Perfect for monitoring market volatility at your preferred timeframe and visual preferences.
Key Features:
Real-time VIX Monitoring - Live VIX data from CBOE with configurable timeframes (1min to daily)
Smart Color Coding - Automatic background color changes based on your custom VIX threshold
Fully Customizable - Adjust colors, text size, position, and threshold to match your trading style
Clean Visual Display - Prominent table overlay that doesn't clutter your chart
Customization Options:
VIX Threshold - Set your own volatility threshold (default: 20)
Color Scheme - Choose colors for high/low VIX states
Text Styling - Adjust text color and size (tiny to huge)
Position Control - Place the display anywhere on your chart (9 positions available)
Timeframe Selection - Monitor VIX at 1min, 5min, 15min, 30min, 45min, 1hr, or daily intervals
Perfect For:
Volatility traders monitoring market fear/greed
Risk management during market stress periods
Quick visual assessment of market conditions
Custom trading setups requiring VIX awareness
Usage: Simply add to any chart and customize the settings to match your trading preferences. The indicator will automatically update with live VIX data and change colors based on your threshold settings.
