Indicateurs et stratégies
Accurate Swing Trading + Support Resistance 2 more setting accurate swing trading, 2 setting mode. 1 trend. 2. buy sell. and add support resisten
Relative Strength Index, Divergences, color and more lines.Modified RSI technical indicator with divergences. Additional colors and more lines have been added.
Relative Strength Index - More Lines, Color and Divergence.Modified RSI technical indicator with divergences. Additional colors and more lines have been added.Enjoy.
Volume Weighted ATRThis script implements a Volume‑Weighted Average True Range (VWATR) indicator, a variation of ATR that incorporates trading volume into the volatility calculation. Instead of treating all price movements equally, it amplifies true range during high‑volume periods and dampens it during low‑volume periods, producing a volatility measure that adapts to liquidity conditions. The script begins by allowing the user to choose a lookback length and a smoothing method, offering RMA, SMA, EMA, or WMA for flexibility in how responsive the indicator should be.
The core of the calculation starts with the standard true range, which captures the most meaningful price movement of each bar. This true range is then multiplied by volume, creating a volume‑weighted true range that gives more importance to bars where market participation is higher. To ensure consistency, the script defines a custom moving‑average function that applies the selected smoothing method to any input series. This function is used twice: once to smooth the volume‑weighted true range and once to smooth volume itself.
The final VWATR value is obtained by dividing the smoothed volume‑weighted true range by the smoothed volume. Mathematically, this produces a volume‑weighted mean of true range, making the indicator more sensitive to volatility expansions that occur with strong participation and less reactive to low‑volume noise. The script concludes by plotting this VWATR line, giving traders a clean, adaptive measure of volatility that can be used for regime detection, breakout confirmation, or dynamic stop sizing
"Ultimate Sniper & Rocket Strategy [By Dhanapal]//@version=5
// This script is a complete trading system combining Trend, Momentum, and Reversal strategies.
// Created for Nifty & BankNifty Intraday Trading.
indicator("Ultimate Sniper & Rocket Strategy", overlay=true, shorttitle="Ultimate Strategy")
// ==========================================
// 1. EMA Cloud (Trend Visualization)
// ==========================================
// 9, 21, 50, 200 EMAs to identify the trend direction quickly.
ema9 = ta.ema(close, 9)
ema21 = ta.ema(close, 21)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
plot(ema9, color=color.new(color.red, 50), title="EMA 9")
plot(ema21, color=color.new(color.blue, 50), title="EMA 21")
plot(ema50, color=color.new(color.green, 50), title="EMA 50")
plot(ema200, color=color.new(color.black, 50), title="EMA 200", linewidth=2)
// ==========================================
// 2. VWAP (Volume Weighted Average Price)
// ==========================================
plot(ta.vwap(close), title="VWAP", color=color.purple, linewidth=2)
// ==========================================
// 3. KEY LEVELS: PDH, PDL, TODAY H/L
// ==========================================
d_high = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on)
d_low = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on)
// Plot Previous Day Levels (Thick Lines)
plot(d_high, title="Prev Day High (PDH)", color=color.green, linewidth=2)
plot(d_low, title="Prev Day Low (PDL)", color=color.red, linewidth=2)
// Plot Today's Live Levels (Dashed Lines)
t_high = request.security(syminfo.tickerid, "D", high, lookahead=barmerge.lookahead_on)
t_low = request.security(syminfo.tickerid, "D", low, lookahead=barmerge.lookahead_on)
plot(t_high, title="Today High", color=color.new(color.blue, 0), linewidth=1, style=plot.style_dashed)
plot(t_low, title="Today Low", color=color.new(color.blue, 0), linewidth=1, style=plot.style_dashed)
// ==========================================
// 4. RIGHT SIDE LABELS (Clear Visibility)
// ==========================================
if barstate.islast
label.new(bar_index + 3, d_high, "PDH", style=label.style_label_left, color=color.green, textcolor=color.white, size=size.small)
label.new(bar_index + 3, d_low, "PDL", style=label.style_label_left, color=color.red, textcolor=color.white, size=size.small)
label.new(bar_index + 3, t_high, "Day High", style=label.style_label_left, color=color.blue, textcolor=color.white, size=size.small)
label.new(bar_index + 3, t_low, "Day Low", style=label.style_label_left, color=color.blue, textcolor=color.white, size=size.small)
// ==========================================
// 5. STRATEGY 1: SNIPER (Reversal)
// ==========================================
// Best for catching bottoms/tops. Based on MACD Crossover + RSI Strength.
rsi = ta.rsi(close, 14)
= ta.macd(close, 12, 26, 9)
// Buy Logic: MACD Crosses Up AND RSI > 50 (Momentum Gaining)
sniper_buy = ta.crossover(macdLine, signalLine) and (rsi > 50)
// Sell Logic: MACD Crosses Down AND RSI < 50 (Momentum Losing)
sniper_sell = ta.crossunder(macdLine, signalLine) and (rsi < 50)
// ==========================================
// 6. STRATEGY 2: ROCKET (Breakout)
// ==========================================
// Best for strong trend moves. Based on Supertrend reversal.
= ta.supertrend(3, 10)
rocket_buy = ta.crossunder(direction, 0)
rocket_sell = ta.crossover(direction, 0)
// ==========================================
// 7. PLOTTING SIGNALS
// ==========================================
// Sniper Signals (Yellow/Orange Triangles)
plotshape(sniper_buy, title="Sniper Buy", location=location.belowbar, color=color.yellow, style=shape.triangleup, size=size.small, text="SNIPER", textcolor=color.black)
plotshape(sniper_sell, title="Sniper Sell", location=location.abovebar, color=color.orange, style=shape.triangledown, size=size.small, text="SNIPER", textcolor=color.white)
// Rocket Signals (Blue/Pink Labels)
plotshape(rocket_buy, title="Rocket Buy", location=location.belowbar, color=color.aqua, style=shape.labelup, size=size.small, text="ROCKET", textcolor=color.black)
plotshape(rocket_sell, title="Rocket Sell", location=location.abovebar, color=color.fuchsia, style=shape.labeldown, size=size.small, text="ROCKET", textcolor=color.white)
// ==========================================
// 8. CANDLE & BACKGROUND COLORS
// ==========================================
var color bar_c = na
// Base Trend Color (Green/Red based on Supertrend)
if direction < 0
bar_c := color.green
else
bar_c := color.red
// Override Color for Signals
if rocket_buy
bar_c := color.aqua
if rocket_sell
bar_c := color.fuchsia
if sniper_buy
bar_c := color.yellow
if sniper_sell
bar_c := color.orange
barcolor(bar_c, title="Candle Colors")
// Background Tint
bgcolor(direction < 0 ? color.new(color.green, 90) : color.new(color.red, 90), title="Trend Background")
ATR Based SL & TP Targets from Entry (Long/Short)ATR-based target helper for manual trade planning.
Plots a single entry level plus ATR-based stop loss and take-profit targets on the price scale. The script uses a standard ATR (default 14) and lets you select the position side (Long or Short). For Long positions, it places the stop loss 1× ATR below the entry and take-profit levels at 1, 2, 3, and 4× ATR above. For Short positions, it mirrors this logic, placing the stop 1× ATR above the entry and targets 1–4× ATR below. You can adjust the entry price and ATR multipliers from the settings, and all levels update instantly, giving a clean visual of your risk and reward targets on the price scale.
-------------------
Tip:
After entry, and after I set my SL & TP levels, I hide the indicator until it's needed again.
BM 1.0BM 1.0 is a direction-focused indicator built to eliminate guesswork and emotional trading. It filters market noise and highlights high-probability directional bias, allowing traders to align themselves with the dominant force in the market instead of fighting it.
Intraday Market Context (Trend & Risk)📌 Intraday Market Context (Trend & Risk)
Overview
Intraday Market Context (Trend & Risk) is a non-signal, informational indicator designed to provide a high-level view of current market conditions. Instead of generating buy or sell signals, this tool helps traders understand what kind of market they are operating in and how cautious or aggressive they should be.The output is shown as a clean, fixed on-chart box with plain-language guidance.
What This Indicator Shows
The indicator displays three simple elements:
1️⃣ Market Type
Identifies the current market environment:
Trending Market
Sideways Market
Expanding / Breakout Market
Unclear Market
2️⃣ Risk Mode
Provides a relative assessment of market risk:
Normal Risk
Medium Risk
High Risk
This is contextual information only and does not imply trade direction.
3️⃣ What to Do
Plain-language behavioral guidance, not trade instructions:
Trend is Friend
Range is Friend
Wait for Pullback
Stay Out
These phrases are meant to guide trader behavior, not trigger trades.
How to Use
Use this indicator as a market context filter, not as a trading signal
Decide when to trade, trade cautiously, or stay out
Use your own execution tools (price action, EMAs, VWAP, structure, etc.) for entries and exits
Respect “Stay Out” conditions to avoid over-trading in unfavorable environments
This indicator works best as a decision-support overlay, especially for intraday traders.
What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a trading strategy
❌ Not predictive
❌ Not a replacement for risk management
Important Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute financial advice, investment advice, or a recommendation to trade any instrument.Trading involves risk, and losses can exceed expectations. Always use proper risk management and make your own trading decisions.
S/R HTF (D + 4H) | Clusters+Pivots | Stable | Styles+AlertsThis indicator plots higher-timeframe Support/Resistance levels based on the Daily and 4-Hour charts, and keeps them stable (not dependent on how much history is loaded or how you scroll/zoom).
What it does
Daily levels (D) are calculated from the last lenD closed daily candles (default: 120).
4H levels (240) are calculated from the last lenH4 closed 4H candles (default: 300).
Levels come from two sources:
Clusters (value areas): prices where candle closes occur frequently within a narrow range.
The range width is derived from ATR × step multiplier.
Pivots: recent pivot highs and pivot lows (with left/right pivot settings).
The script merges nearby levels (within a tolerance) to avoid duplicates.
Stability / update logic
Levels are computed with request.security() on "D" and "240", so the result is independent of the chart timeframe you’re currently viewing.
Lines are drawn using bar time anchoring and extend mode, so they remain fixed to price and do not “jump” when you zoom or scroll.
Levels are recalculated on a calendar schedule (default: every 2 days, timeframe "2D"). Between recalculations, levels remain unchanged.
Visual customization
From the settings panel you can configure:
Show/hide Daily and/or 4H levels
Show/hide Clusters and/or Pivots
Line width for clusters and pivots
Line style (Solid / Dashed / Dotted) for clusters and pivots
Colors and opacity for Daily and 4H lines
Line extension: Left / Right / Both
Alerts
The indicator can trigger alerts when price:
Touches a level (bar range crosses the level: high >= level and low <= level)
Approaches a level (distance is within a threshold)
Approach threshold can be defined as:
Ticks
ATR multiplier
Percent of price
To use dynamic alert text (level + distance):
Create an alert in TradingView using: “Any alert() function call”.
Notes / limitations
“Last N candles” depends on available symbol history; if the symbol doesn’t have enough Daily/4H history, some levels may be na.
Cluster quality depends on ATR-based bin size; adjusting the step multipliers can improve results per instrument and volatility regime.
Magic 13 for China Stock MarketPrice Exhaustion Counter - 9/13 Signals
This indicator tracks consecutive closes relative to their 4-bar precedent, identifying potential trend exhaustion points.
KEY FEATURES:
- Counts consecutive higher/lower closes up to 9
- Extends counting to 13 for confirmation signals
- Customizable early warning display (counts 5-8)
- Background highlighting for approaching signals
- Clean, non-overlapping label placement
SIGNAL GUIDE:
- Counts 5-8 (orange): Early momentum warning
- Count 9 (purple/green badge): Primary exhaustion signal
- Counts 10-13 (green/purple): Extended momentum - stronger reversal potential
CUSTOMIZATION:
- Toggle early signals visibility
- Adjust label offset for clarity
- Enable/disable background hints
- All timeframes supported
Identifies high-probability reversal zones based on consecutive price action.
ETH Dynamic Risk Strategy# ETH Dynamic Risk Strategy - Publication Description
## Overview
The ETH Dynamic Risk Strategy is a systematic approach to accumulating Ethereum during bear markets and distributing during bull markets. It combines multiple risk indicators into a single composite metric (0-1 scale) that identifies optimal buying and selling zones based on market conditions.
## Key Features
• **Multi-Component Risk Metric**: Combines 4 weighted indicators to assess market conditions
• **Tiered Buy/Sell System**: 3 levels of buy signals (L1, L2, L3) and 3 levels of sell signals based on risk thresholds
• **Configurable Filters**: Optional buy filters to reduce signal frequency by 30-50%
• **Visual Risk Zones**: Color-coded risk metric plot with clear threshold lines
• **Comprehensive Dashboard**: Real-time statistics including position size, P/L, and component scores
## How It Works
### Risk Components (Configurable Weights)
1. **Log Return from ATH** (Default: 35%)
- Tracks drawdown from all-time high over lookback period
- Deep drawdowns (-70% to -90%) = low risk / buying opportunity
- Near ATH (0% to -20%) = high risk / selling opportunity
2. **ETH/BTC Ratio** (Default: 25%)
- Measures ETH strength relative to Bitcoin
- Below historical average = ETH undervalued = low risk
- Above historical average = ETH overvalued = high risk
3. **Volatility Regime** (Default: 20%)
- Compares current volatility to long-term average
- Compressed volatility at lows = opportunity
- Expanded volatility at highs = danger
4. **Trend Strength** (Default: 20%)
- Uses multiple EMA alignment and slope analysis
- Strong downtrends = low risk scores
- Strong uptrends = high risk scores
### Trading Logic
**Buy Signals:**
- L1: Risk ≤ 0.30 → Buy $100 (default)
- L2: Risk ≤ 0.20 → Buy $250 total
- L3: Risk ≤ 0.10 → Buy $450 total
**Sell Signals (Sequential):**
- L1: Risk ≥ 0.75 → Sell 25% of position
- L2: Risk ≥ 0.85 → Sell 35% of remaining
- L3: Risk ≥ 0.95 → Sell 40% of remaining
**Buy Filters (Optional):**
- Minimum days between buys (prevents clustering)
- Minimum risk drop required (ensures falling risk)
- Toggle on/off to compare performance
## Settings Guide
### Risk Components
Toggle individual components on/off and adjust their weights. Total weight is automatically normalized. Experiment with different combinations to match your market view.
### Advanced Settings
- ATH Lookback: How far back to look for all-time highs (500-2000 recommended)
- Volatility Period: Window for volatility calculations (40-100 recommended)
- ETH/BTC MA Period: Moving average for ratio comparison (100-300 recommended)
- Trend Period: Base period for trend calculations (50-150 recommended)
### Trading Thresholds
Customize buy/sell trigger points and position sizes. Lower buy thresholds = more aggressive accumulation. Higher sell thresholds = holding longer into bull markets.
### Buy Filters
- Enable/disable filtering system
- Min Days Between Buys: Spacing between purchases (1-3 recommended)
- Min Risk Drop: How much risk must fall (-0.001 to -0.01 range)
## Best Practices
• **Timeframe**: Works best on daily (1D) and 3-day (3D) charts
• **Initial Capital**: Set based on your DCA budget (default $10,000)
• **Backtest First**: Test different parameter combinations on historical data
• **Position Sizing**: Adjust buy amounts to match your risk tolerance
• **Monitor Filters**: Check "Filtered Buys" stat to ensure filter isn't too strict
## Use Cases
- Long-term ETH accumulation strategy
- Systematic DCA with market-adaptive buying
- Risk-based portfolio rebalancing
- Educational tool for understanding crypto market cycles
## Disclaimer
This strategy is for educational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk. The strategy uses historical price action and technical indicators which may not predict future movements. Always do your own research and never invest more than you can afford to lose.
## Credits
Strategy concept and development by nakphanan with assistance from Claude AI (Anthropic). Built using Pine Script v5....Mostly from Claude AI!!!
## Version History
v7.0 - Initial release with 4-component risk metric, tiered trading system, and optional buy filters
Lindsey Measured Move Price TargetsLindsey is a pivot-structure target tool that auto-maps a simple 3-point swing sequence (P1 → P2 → P3) and projects a symmetry-based target (P4), then prints it as a clean “🎯” balloon on your chart. It’s designed to give traders a fast, repeatable way to visualize where the next measured move could resolve—without cluttering the price action.
How it works
The script detects pivot highs/lows using your chosen Left/Right Swing Bars (pivot confirmation).
It tracks a three-point structure:
Bull case: P1 = pivot low, P2 = pivot high, P3 = higher pivot low
Bear case: P1 = pivot high, P2 = pivot low, P3 = lower pivot high
Once a valid P3 prints, it calculates a projected target:
Bull target: P4 = P2 + (P2 − P3)
Bear target: P4 = P2 − (P3 − P2)
The target is displayed as a right-shifted balloon, so you can keep it visible ahead of current candles.
How to operate it (practical workflow)
Set Swing Sensitivity
Left Swing Bars / Right Swing Bars control how “strict” pivots are.
Lower values = more signals (noisier). Higher values = fewer, cleaner structures.
Place the balloon where you want it
Balloon Right Offset (bars) moves the 🎯 label forward in time for readability.
Vertical Offset nudges the label up/down in price units to avoid overlapping candles or other tools.
Lock or keep it live
Turn Lock Target Balloon ON to keep the last target fixed on-chart.
Leave it OFF to always display the most recent valid projection.
Style it to your theme
Customize bull/bear balloon colors, text color, and P1/P2/P3 marker colors.
Why it’s useful (benefits)
Clear targets without guesswork: turns swing structure into a consistent measured-move projection.
Less chart noise: one readable target balloon instead of multiple lines and annotations.
Works across assets/timeframes: pivots adapt naturally to volatility and timeframe.
Trader-friendly controls: offset + vertical spacing + lock mode make it easy to integrate with existing layouts.
Notes / best practices
Pivots confirm after the right-side bars complete—so targets are intentionally non-repainting in structure detection, but they appear with that normal pivot confirmation delay.
For choppy ranges, increase pivot bars to reduce whipsaw targets; for trends, slightly lower them to catch more swing opportunities.
Fractal HTF Lines The indicator “Fractal HTF Lines” draws time‑based vertical lines that mark where higher‑timeframe periods start on your chart. It adapts its behavior to the timeframe you are currently viewing.
4‑hour timeframe
On a 4‑hour chart, the indicator draws a vertical line on the first 4‑hour bar of each new trading day. This lets you quickly see where one day ends and the next begins without turning on session breaks.
Daily timeframe
On a daily chart, the indicator draws a vertical line on the first trading day of each new week. Visually, this separates weeks so you can see weekly structure while still trading and analyzing on the daily timeframe.
Weekly timeframe
On a weekly chart, the indicator draws a vertical line on the first trading week of each new month. That way you can identify monthly boundaries directly on the weekly chart and better align your analysis with monthly cycles.
Customization
The indicator includes settings to control:
Line color: You can choose any color from the palette.
Line width: You can adjust the thickness to make lines more or less prominent.
Line opacity: You can make lines more transparent or more solid, depending on how strong you want the visual emphasis.
Pivot Point Zones [JOAT]Pivot Point Zones — Multi-Formula Pivot Levels with ATR Zones
Pivot Point Zones calculates and displays traditional pivot points with five formula options, enhanced with ATR-based zones around each level. This creates more practical trading zones that account for price noise around key levels—because price rarely reacts at exact mathematical levels.
What Makes This Indicator Unique
Unlike basic pivot point indicators, Pivot Point Zones:
Offers five different pivot calculation formulas in one indicator
Creates ATR-based zones around each level for realistic reaction areas
Pulls data from higher timeframes automatically
Displays clean labels with exact price values
Provides a comprehensive dashboard with all levels
What This Indicator Does
Calculates pivot points using Standard, Fibonacci, Camarilla, Woodie, and more formulas
Draws horizontal lines at Pivot, R1-R3, and S1-S3 levels
Creates ATR-based zones around each level for realistic price reaction areas
Displays labels with exact price values
Updates automatically based on higher timeframe closes
Provides fills between zone boundaries for visual clarity
Pivot Formulas Explained
// Standard Pivot - Classic (H+L+C)/3 calculation
pp := (pivotHigh + pivotLow + pivotClose) / 3
r1 := 2 * pp - pivotLow
s1 := 2 * pp - pivotHigh
r2 := pp + pivotRange
s2 := pp - pivotRange
// Fibonacci Pivot - Uses Fib ratios for level spacing
r1 := pp + 0.382 * pivotRange
r2 := pp + 0.618 * pivotRange
r3 := pp + 1.0 * pivotRange
// Camarilla Pivot - Tighter levels for intraday
r1 := pivotClose + pivotRange * 1.1 / 12
r2 := pivotClose + pivotRange * 1.1 / 6
r3 := pivotClose + pivotRange * 1.1 / 4
// Woodie Pivot - Weights current close more heavily
pp := (pivotHigh + pivotLow + 2 * close) / 4
// TD Pivot - Conditional based on open/close relationship
x = pivotClose < pivotOpen ? pivotHigh + 2*pivotLow + pivotClose :
pivotClose > pivotOpen ? 2*pivotHigh + pivotLow + pivotClose :
pivotHigh + pivotLow + 2*pivotClose
pp := x / 4
Formula Characteristics
Standard — Classic pivot calculation. Balanced levels, good for swing trading.
Fibonacci — Uses 0.382, 0.618, and 1.0 ratios. Popular with Fibonacci traders.
Camarilla — Tighter levels derived from range. Excellent for intraday mean-reversion.
Woodie — Weights current close more heavily. More responsive to recent price action.
TD — Conditional calculation based on open/close relationship. Adapts to bar type.
Zone System
Each pivot level includes an ATR-based zone that provides a more realistic area for potential price reactions:
// ATR-based zone width calculation
float atr = ta.atr(atrLength)
float zoneHalf = atr * zoneWidth / 2
// Zone boundaries around each level
zoneUpper = level + zoneHalf
zoneLower = level - zoneHalf
This accounts for market noise and helps avoid false breakout signals at exact level prices.
Visual Features
Pivot Lines — Horizontal lines at each calculated level
Zone Fills — Transparent fills between zone boundaries
Level Labels — Labels showing level name and exact price (e.g., "PP 45123.50")
Color Coding :
- Yellow: Pivot Point (PP)
- Red gradient: Resistance levels (R1, R2, R3) - darker = further from PP
- Green gradient: Support levels (S1, S2, S3) - darker = further from PP
Color Scheme
Pivot Color — Default: #FFEB3B (yellow) — Central pivot point
Resistance Color — Default: #FF5252 (red) — R1, R2, R3 levels
Support Color — Default: #4CAF50 (green) — S1, S2, S3 levels
Zone Transparency — 85-90% transparent fills around levels
Dashboard Information
The on-chart table (bottom-right corner) displays:
Selected pivot type (Standard, Fibonacci, etc.)
R3, R2, R1 resistance levels with exact prices
PP (Pivot Point) highlighted
S1, S2, S3 support levels with exact prices
Inputs Overview
Pivot Settings:
Pivot Type — Formula selection (Standard, Fibonacci, Camarilla, Woodie, TD)
Pivot Timeframe — Higher timeframe for OHLC data (default: D = Daily)
ATR Length — Period for zone width calculation (default: 14)
Zone Width — ATR multiplier for zone size (default: 0.5)
Level Display:
Show Pivot (P) — Toggle central pivot line
Show R1/S1 — Toggle first resistance/support levels
Show R2/S2 — Toggle second resistance/support levels
Show R3/S3 — Toggle third resistance/support levels
Show Zones — Toggle ATR-based zone fills
Show Labels — Toggle price labels at each level
Visual Settings:
Pivot/Resistance/Support Colors — Customizable color scheme
Line Width — Thickness of level lines (default: 2)
Extend Lines Right — Project lines forward on chart
Show Dashboard — Toggle the information table
How to Use It
For Intraday Trading:
Use Daily pivots on intraday charts (15m, 1H)
Pivot point often acts as the day's "fair value" reference
Camarilla levels work well for intraday mean-reversion
R1/S1 are the most commonly tested levels
For Swing Trading:
Use Weekly pivots on daily charts
Standard or Fibonacci formulas work well
R2/S2 and R3/S3 become more relevant
Zone boundaries provide realistic entry/exit areas
For Support/Resistance:
R levels above price act as resistance targets
S levels below price act as support targets
Zone boundaries are more realistic than exact lines
Multiple formula confluence adds significance
Alerts Available
DPZ Cross Above Pivot — Price crosses above central pivot
DPZ Cross Below Pivot — Price crosses below central pivot
DPZ Cross Above R1/R2 — Price breaks resistance levels
DPZ Cross Below S1/S2 — Price breaks support levels
Best Practices
Match pivot timeframe to your trading style (Daily for intraday, Weekly for swing)
Use zones instead of exact levels for more realistic expectations
Camarilla is best for mean-reversion; Standard/Fibonacci for breakouts
Combine with other indicators for confirmation
— Made with passion by officialjackofalltrades
ZLT - Date and Time MarkerPine Script v5 indicator called “DateTime Marker” that overlays on the chart and marks bars whose timestamp matches a user-defined schedule. When a bar “matches,” it can draw:
a vertical line through the bar,
a label with a time/date string, and
a triangle marker below the bar (always plotted on matches).
What you can configure
Marker Type (the matching rule)
You choose one of five modes:
Every Minute
Inputs: everyNMinutes (default 15), minuteOffset (default 0)
Match condition: minute % everyNMinutes == minuteOffset
Example with defaults: marks bars at :00, :15, :30, :45 each hour.
Hourly
Inputs: everyNHours (default 4), hourlyMinute (default 0)
Match condition: hour % everyNHours == 0 AND minute == hourlyMinute
Example with defaults: marks bars at 00:00, 04:00, 08:00, 12:00, 16:00, 20:00 (at minute 00).
Daily Time
Inputs: dailyHour (default 10), dailyMinute (default 0)
Match condition: hour == dailyHour AND minute == dailyMinute
Example with defaults: marks 10:00 every day.
Weekly Day & Time
Inputs: weekDay (default Tuesday), weeklyHour (default 16), weeklyMinute (default 0)
It converts the weekday name to Pine’s dayofweek number via getDayNumber().
Match condition: dayofweek == targetDay AND hour == weeklyHour AND minute == weeklyMinute
Example with defaults: marks Tuesday 16:00.
Monthly Date & Time
Inputs: monthlyDay (default 2), monthlyHour (default 23), monthlyMinute (default 0)
Match condition: dayofmonth == monthlyDay AND hour == monthlyHour AND minute == monthlyMinute
Example with defaults: marks the 2nd day of each month at 23:00.
Visual settings
showLine: whether to draw the vertical line.
lineStyle: Solid/Dashed/Dotted (mapped to Pine line styles by getLineStyle()).
lineColor, lineWidth: styling for the line (width is rounded to an integer because Pine line width is integer).
showLabel: whether to draw a label.
labelColor: background color of the label (text is forced white).
What happens when a bar matches
When isMatch becomes true on a bar:
Vertical line: line.new() at that bar’s bar_index, from low to high, extended extend.both (so it spans the full chart vertically).
Label: label.new() at the bar’s high, with mode-specific text:
Minute/Hourly/Daily: "HH:mm"
Weekly: "Tuesday HH:mm" (or whatever day selected)
Monthly: "Day 2 - HH:mm" (or chosen day)
Triangle marker: plotshape() draws a triangle up below the bar on every match (this happens regardless of showLine / showLabel).
Important practical implications
This uses the bar’s exchange/chart time (TradingView’s time, hour, minute, etc.), so results depend on the symbol/session and chart timezone settings.
On timeframes coarser than 1 minute, “Every Minute” still checks only the bar’s timestamp minute value; it won’t mark intra-bar minutes that don’t exist as separate bars.
Because it can create many objects (lines/labels), it sets max_labels_count=500. Lines are not capped here, so very dense marking can still clutter the chart.
If you tell me your intended use (e.g., “mark NY open,” “mark every 15m candle close,” “mark macro events weekly”), I can point out whether the current matching logic fits that precisely or needs adjustments (sessions, timezones, avoiding duplicates, limiting lines, etc.).
Dual MACD CrossWhat Is This Indicator?
This indicator is a visual tool for reading changes in market momentum.
Instead of giving buy or sell orders, it helps you see when the market’s short-term behavior starts to differ from its underlying direction. Think of it as a way to observe shifts in mood rather than make automatic decisions.
What Do the Lines Mean?
You will see three visual elements:
The thin green line represents the market’s short-term momentum.
It reacts quickly to recent price changes and shows what the market is doing right now.
The thicker white line represents the market’s reference trend.
It moves more slowly and reflects the broader, more stable direction of the market.
The yellow dotted line is the zero baseline.
It does not generate signals. Its only purpose is to help you visually judge whether momentum is generally positive (above zero) or negative (below zero).
How Should This Indicator Be Read?
The key is the relationship between the green and white lines.
When the green line is above the white line, short-term momentum is stronger than the market’s reference trend.
When the green line is below the white line, short-term momentum is weaker.
The indicator is not concerned with how high or low the lines are by themselves.
What matters is how they interact.
What Do the Triangle Markers Mean?
The small triangle markers highlight moments of transition.
An upward triangle appears when the green line crosses above the white line.
This suggests that short-term momentum is beginning to outperform the broader trend.
A downward triangle appears when the green line crosses below the white line.
This suggests that momentum is weakening relative to the broader trend.
These markers are attention points, not commands. They indicate potential change, not certainty.
Why Is the Zero Line Important?
The zero line provides context.
A crossover that happens above the zero line occurs while the market is already in a relatively strong state.
A crossover below the zero line happens in a weaker environment and may represent a failed move or an early attempt at reversal.
The same crossover can mean very different things depending on its position relative to zero.
What Is This Indicator Best Used For?
This indicator is best used to:
Observe early signs of trend changes
Compare short-term momentum versus underlying direction
Confirm what you are already seeing in price action or other indicators
It is not designed to:
Predict tops or bottoms precisely
Act as a standalone buy/sell system
Measure overbought or oversold conditions
A Simple Analogy
Imagine driving a car.
The green line is how hard you are pressing the accelerator.
The white line is your current speed.
The yellow zero line is the difference between moving forward or backward.
The triangles mark moments when acceleration begins to change the car’s actual movement.
The indicator helps you notice when effort starts to translate into direction.
The Right Way to Use It
This indicator does not tell you what to do.
It encourages you to ask better questions:
Is momentum starting to lead or lag?
Is this change supported by price structure?
Does the broader context confirm or contradict this signal?
Used this way, it becomes a tool for awareness, not prediction.
If you’d like, I can also provide:
A one-paragraph version for documentation
A training script for beginners
Or a minimal tooltip-style explanation for sharing with others
Spike Detector (Ticks/Points)Spike Detector (Ticks / Points)
What This Indicator Does
Spike Detector (Ticks / Points) helps you easily spot large, high-volatility candles on your chart. These “spike” candles often happen during strong momentum, breakouts, stop runs, or sudden reversals.
Instead of guessing whether a candle is “big enough,” this indicator automatically measures each candle’s size and highlights it when it exceeds a threshold you choose.
How It Works (Simple Explanation)
The indicator measures the high-to-low range of every candle
It converts that range into ticks using the instrument’s minimum tick size
If the candle size is equal to or greater than your selected threshold, it is marked as a spike
Spike candles are:
Colored green for bullish candles
Colored red for bearish candles
A label is placed on the chart showing the candle size in ticks or points
This logic is non-repainting and works on all timeframes.
Inputs Explained
Spike Size Threshold
The minimum candle size required to be considered a spike (measured in ticks)
Display Unit (Ticks / Points)
Choose whether the label shows the candle size in:
Ticks (recommended for futures)
Points (useful for stocks and indices)
Label Offset
Adjusts how far above or below the candle the label appears
How to Use This Indicator
This indicator is meant to be used as a visual tool, not a standalone trading system.
Common ways traders use it:
Identify momentum ignition candles
Spot stop runs or liquidity grabs
Confirm breakouts with strong candle expansion
Avoid entering trades during abnormally volatile bars
Study volatility behavior during specific sessions
Many traders combine this with:
Market structure
Support & resistance
Trend direction
Volume or session context
Tips for Best Results
Start with a moderate threshold and adjust based on the market you trade
Higher timeframes usually need larger thresholds
Futures traders may prefer tick mode, while stock traders may prefer points
Use spike candles as context, not signals by themselves
Notes
Works on all symbols that support tick size data
Does not repaint
Designed to be lightweight and easy to read
Disclaimer
This indicator is for educational and informational purposes only. It does not provide trade signals or financial advice. Always manage risk appropriately.
NQ Pro Dashboard (Master Fix)This indicator is a "Head-Up Display" designed specifically for trading NQ (Nasdaq-100 Futures). It aggregates data from the broader market (volatility) and the specific stocks that drive the Nasdaq index (The "Magnificent 7") to give you a single Trend Power Score.
Here is a breakdown of how the logic works under the hood:
1. The Inputs (Data Feed)
The script watches 9 specific assets in real-time (daily timeframe data):
Fear Gauges:
VIX: The volatility index for the S&P 500.
VXN: The volatility index specifically for the Nasdaq-100.
The Engine (Mag 7):
NVDA, AAPL, MSFT, AMZN, GOOGL, META, TSLA.
2. The Logic: "Weighted" Market Strength
Instead of treating every stock equally, the script applies a Weighting Multiplier to the Mag 7 stocks based on their approximate impact on the Nasdaq-100 index.
Heavyweights (1.5x): NVDA, AAPL, MSFT (These move the market the most).
Middleweights (1.0x): AMZN, GOOGL, META.
Lightweight (0.7x): TSLA (Has the least pull of the group).
It calculates a single percentage number (MAG 7 (W)) representing the combined push or pull of these stocks.
3. The "Trend Power" Score (0-100)
This is the core signal. It starts at a neutral 50 and adds/subtracts points based on market conditions.
Fear Factor:
If VIX or VXN drops > 2% (Fear dying), it adds points (Bullish).
If VIX or VXN spikes > 2% (Fear rising), it subtracts points (Bearish).
Stock Strength:
If the Weighted Mag 7 Average is > 1.0% (Strong Rally), it adds a massive 30 points.
If it's negative (Sell-off), it subtracts points.
The Score Breakdown:
80 - 100 (Green): STRONG BULL. The engines are firing (stocks up) and the brakes are off (VIX down). Do not short.
0 - 20 (Red): STRONG BEAR. Panic selling is occurring. Do not buy.
40 - 60 (Orange): CHOP / RANGE. Conflicting signals (e.g., stocks are up but VIX is also up). Be careful.
4. The "Exhaustion" Meter (ATR)
The RANGE row tells you if the market has "gas left in the tank."
It compares Today's Range (High - Low) to the 14-Day Average Range (ATR).
< 50% (Yellow): Compressed. The market hasn't moved much yet. Expect a breakout soon.
> 120% (Purple): Extended. The market has moved massive amounts today. A reversal or pause is statistically likely (mean reversion).
5. The Visuals (Leaders Row)
The bottom row gives you a quick visual scan of the individual stocks:
N▲ (Green): Nvidia is up.
T▼ (Red): Tesla is down.
This helps you spot "divergences"—for example, if the Trend Score is high but NVDA is Red, the rally might be fragile.
BTC - RVPM: Run Velocity & Probability MapBTC – RVPM: Run Velocity & Probability Map | RM
Strategic Context: Understanding Price Runs
A "Price Run" (also known as a streak or consecutive sessions) is a foundational concept in time-series analysis that measures the duration of a price movement without a significant counter-signal. While common indicators like RSI or MACD measure magnitude or momentum, they often ignore the Persistence of the trend. Historically, markets move through cycles of expansion and mean-reversion. A Price Run represents a period of "Unidirectional Flow" — a fingerprint of institutional accumulation or systematic distribution. However, standard "run-counting" is often too simplistic for the volatile crypto markets.
What Makes RVPM Special?
Most community run-counters are binary; they simply tell you if X days were green or red. The RVPM distinguishes itself through three proprietary layers:
• The Intensity Filter: It doesnt just count days; it counts effort . By ignoring "flat" days through a percentage-return threshold, it filters out noise that would otherwise skew the statistical probability.
• Dynamic Benchmarking: Instead of using an arbitrary number (like "7 days"), the RVPM looks back at 200 bars of history to find the local "Persistence Ceiling." It adapts to the current volatility regime of Bitcoin.
• The Velocity Score: It transform simple counts into a -100 to +100 histogram, allowing traders to see momentum "decaying" (e.g., dropping from 90 to 70) even if the price continues to rise.
The 3 Pillars of the Engine
1. Velocity Mapping (Persistence Histogram)
The histogram calculates the density of directional effort within a defined window. It functions as the "Pulse" of the trend, mapping market behavior into three distinct zones:
• High Velocity Zone (> 80 or < -80): Institutional Expansion. This identifies a "clean" move where one side of the market possesses total structural control. In this zone, the trend is efficient, and counter-signals are immediately absorbed.
• The Neutral Zone (Near Zero): Momentum Equilibrium. When the histogram fluctuates near the zero line, the market is in a "Recharge Phase." Neither bulls nor bears are achieving persistent dominance. Tactically, this is the "Waiting Room" where range-bound chop is likely, and traders should wait for a new "Expansion" spike before committing.
• Velocity Decay: The Exhaustion Warning. Velocity Decay occurs when the indicator moves from an extreme (e.g., +95) back toward the zero line (e.g., +50) while the price is still rising. This is a "Persistence Divergence." It tells you that while the trend is still moving, the consistency of the bars is fragmenting. The "fuel" is being depleted, and the trend is transitioning from an "Institutional Expansion" into a "Speculative Exhaustion."
2. n-of-m Consistency (The Pips)
The "Pips" (Circles) mark when a specific consistency threshold is met (e.g., 5 out of 7 bars in one direction). This identifies "Leaky Trends" that are still statistically dominated by one side of the ledger.
3. Statistical Exhaustion (The Arrows)
The Dark Red (Top) and Dark Green (Bottom) triangles represent the engine's "Mean-Reversion Signal." The calculation is based on a Relative Maximum Streak (RMS) logic: the script tracks the current linear, consecutive bar count (ignoring bars that fail the Intensity Filter) and continuously benchmarks this against the highest streak recorded over the last 200 bars ( ta.highest(streak, 200) ). The triangles are triggered specifically when the current run reaches 80% of this historical record (the "Anomaly Threshold"). Mathematically, this identifies a move that is statistically pushing against its half-year limit. By using this dynamic threshold rather than a fixed number, the "Extreme" signal automatically tightens during low-volatility regimes and expands during high-volatility expansions, ensuring the signal only appears when the "statistical rubber band" is at a true breaking point.
Operational Interface: The RVPM Dashboard
The Status Dashboard (Top Right) serves as a real-time monitor for momentum health, providing a clean summary of the underlying persistence data:
• Current STREAK: The active, consecutive count of bars meeting the Intensity Filter. It is dynamically color-coded (Cyan/Bullish or Red/Bearish) to provide an instant read on trend seniority.
• WINDOW Consistency: Measures the Momentum Density (the n-of-m value). A value of "6" in a "7-bar" window indicates a high-conviction regime that is successfully absorbing pullbacks without losing its primary trajectory.
Tactical Playbook: The Mean-Reversion Rule
Price action typically follows a "Rubber Band" effect. The further it is stretched without a break, the more "unstable" the trend becomes as the pool of available buyers or sellers is depleted.
• The Setup: Wait for the Triangle Arrows to appear.
• The Logic: The move has reached a 200-day anomaly. A "Liquidity Vacuum" is forming on the opposite side.
• The Action: This is a high-probability Mean-Reversion signal. It is a tactical time to take profits or look for a sharp snap-back move toward the 20-period moving average or the "Institutional Mean."
Settings & Parameters
• Window Length (m): The lookback window used to calculate the Velocity Score.
• Required Days (n): The minimum number of directional bars needed within the window to trigger a "Consistency Pip."
• Intensity Filter (%): The minimum % change required for a bar to be counted toward a run.
• Lookback Period: The historical window (Default: 200 bars) used to calculate the "Maximum Streak" records for exhaustion alerts.
Timeframe Recommendation
The RVPM is best viewed on the Daily (1D) timeframe. This filters out intraday noise and provides the most reliable statistical mapping for macro exhaustion points.
Credits & Verification
The RVPM logic aligns with institutional "Persistence" models and Glassnode's Price Stretch benchmarks. By benchmarking against a rolling 200-day window, the indicator automatically adapts to changing market volatility.
Risk Disclaimer & No Financial Advice
The information, data, and analytical models provided in this publication are for educational and informational purposes only. This script does not constitute financial, investment, or trading advice. Trading cryptocurrencies and other financial instruments carries a high degree of risk, and statistical anomalies or "Extreme Runs" do not guarantee future price action. Past performance is never indicative of future results. Every trader is responsible for their own due diligence and risk management. Rob Maths and the associated entities are not liable for any financial losses incurred through the use of this tool. Always consult with a certified financial professional before making significant investment decisions.
Tags:
bitcoin, btc, persistence, streaks, price-runs, momentum, mean-reversion, exhaustion, Rob Maths
Round Level Pro Stats
Here is a professional English description of your indicator, which you can use for your own records or if you ever want to share it on the TradingView Community Scripts:
Indicator Name: Dynamic Round Levels & Historical Strength Grid
Overview
This indicator is a sophisticated technical analysis tool designed to identify and evaluate "Round Number" psychological levels (e.g., 1.17100, 1.17200, 1.17300). Unlike a static grid, this tool actively scans historical data to provide a "Strength Score" for each level, helping traders distinguish between minor price points and significant historical reaction zones.
Key Features
Automated Price Grid: Generates a clean, horizontal grid based on user-defined price intervals (Steps). Perfect for Forex (0.001 pips), Stocks, or Crypto.
Historical Strength Engine: Analyzes up to 5,000 historical bars to calculate how "respected" a price level is.
The "3-Candle Confirmation" Logic: A level's strength is only increased if the price touches the line and successfully reverses/bounces, staying on the same side for at least 3 subsequent candles.
Smart Visual Coding:
Green (High Strength): Levels with >60% historical reversal success.
Orange (Medium Strength): Levels with 35%–60% success.
Red (Low Strength): Levels frequently breached without reaction.
Pro HUD Display: Bold percentage labels are positioned at the far right of the chart (near the price scale) to keep the main trading area clutter-free.
How to Use
Set your Step: For Forex, use 0.001 to see 10-pip increments. For Bitcoin or Gold, use 10 or 100.
Lookback Period: Adjust the history scan (up to 5,000 bars) to match your trading timeframe.
Identify Support/Resistance: Look for Green % STR labels. These represent "Round Numbers" that have acted as strong barriers in the past, offering higher-probability entry or exit points.
Technical Summary for Pine Script
Language: Pine Script v5
Max Lines/Labels: 500 (Optimized for performance)
Placement: Far-right margin alignment using bar_index offsets.
Smart Money Fluid [JOAT]
Smart Money Fluid — Accumulation and Distribution Flow Analysis
Smart Money Fluid tracks institutional-style accumulation and distribution patterns using a sophisticated combination of Money Flow Index, Chaikin Money Flow, and VWAP-relative price analysis. It aims to reveal whether larger participants may be accumulating (buying) or distributing (selling)—information that can precede significant price moves.
What Makes This Indicator Unique
Unlike single money flow indicators, Smart Money Fluid:
Combines three different money flow methodologies into one composite signal
Detects divergences between price and money flow automatically
Identifies high-volume conditions that add conviction to signals
Provides both the composite signal and individual component values
Features a momentum histogram showing flow acceleration
What This Indicator Does
Combines multiple money flow indicators into a composite signal (0-100 scale)
Identifies accumulation zones (potential institutional buying) and distribution zones (potential selling)
Detects divergences between price and money flow
Highlights high-volume conditions for stronger signals
Tracks momentum direction within the flow
Provides comprehensive dashboard with all component values
Composite Calculation Explained
The Smart Money Flow composite combines three proven money flow methodologies:
// Component 1: Money Flow Index (MFI) - 40% weight
// Measures buying/selling pressure using price and volume
float mfi = 100 - (100 / (1 + mfRatio))
// Component 2: Chaikin Money Flow (CMF) - 30% weight
// Measures accumulation/distribution based on close position within range
float cmf = sum(mfVolume, length) / sum(volume, length) * 100
// Component 3: VWAP Price Strength - 30% weight
// Measures price position relative to volume-weighted average price
float priceVsVWAP = (close - vwap) / vwap * 100
// Final Composite (scaled to 0-100)
float rawSMF = (mfi * 0.4 + (cmf + 50) * 0.3 + (50 + priceVsVWAP * 5) * 0.3)
float smf = ta.ema(rawSMF, smoothLength)
State Classification
Accumulating (Green Zone) — SMF above accumulation threshold (default: 60). Suggests institutional buying may be occurring.
Distributing (Red Zone) — SMF below distribution threshold (default: 40). Suggests institutional selling may be occurring.
Neutral (Gray Zone) — SMF between thresholds. No clear accumulation or distribution detected.
Divergence Detection
The indicator automatically detects divergences using pivot analysis:
Bullish Divergence — Price makes a lower low while SMF makes a higher low. This suggests selling pressure is weakening despite lower prices—potential reversal signal.
Bearish Divergence — Price makes a higher high while SMF makes a lower high. This suggests buying pressure is weakening despite higher prices—potential reversal signal.
Divergences are marked with "DIV" labels on the chart.
Visual Features
SMF Line with Glow — Main composite line with gradient coloring and glow effect
Signal Line — Slower EMA of SMF for crossover signals
Flow Momentum Histogram — Shows the difference between SMF and signal line with four-color coding:
- Bright green: Positive and accelerating
- Faded green: Positive but decelerating
- Bright red: Negative and accelerating
- Faded red: Negative but decelerating
Zone Backgrounds — Green tint in accumulation zone, red tint in distribution zone
Reference Lines — Dashed lines at accumulation/distribution thresholds, dotted line at 50
Strong Signal Markers — Triangles appear when accumulation/distribution occurs with high volume
Divergence Labels — "DIV" markers when divergences are detected
Color Scheme
Accumulation Color — Default: #00E676 (bright green)
Distribution Color — Default: #FF5252 (red)
Neutral Color — Default: #9E9E9E (gray)
Gradient Coloring — SMF line transitions smoothly between colors based on value
Dashboard Information
The on-chart table (top-right corner) displays:
Current SMF value with state coloring
State classification (ACCUMULATING, DISTRIBUTING, or NEUTRAL)
Flow momentum direction (Up/Down with magnitude)
MFI component value
CMF component value with directional coloring
Volume status (High or Normal)
Active divergence detection (Bullish, Bearish, or None)
Inputs Overview
Calculation Settings:
Money Flow Length — Period for flow calculations (default: 14, range: 5-50)
Smoothing Length — EMA smoothing period (default: 5, range: 1-20)
Divergence Lookback — Bars for pivot detection in divergence analysis (default: 5, range: 2-20)
Sensitivity:
Accumulation Threshold — Level above which accumulation is detected (default: 60, range: 50-90)
Distribution Threshold — Level below which distribution is detected (default: 40, range: 10-50)
High Volume Multiplier — Multiple of average volume for "high volume" classification (default: 1.5x, range: 1.0-3.0)
Visual Settings:
Accumulation/Distribution/Neutral Colors — Customizable color scheme
Show Flow Histogram — Toggle momentum histogram
Show Divergences — Toggle divergence detection and labels
Show Dashboard — Toggle the information table
Show Zone Background — Toggle colored backgrounds in accumulation/distribution zones
Alerts:
Await Bar Confirmation — Wait for bar close before triggering (recommended)
How to Use It
For Trend Confirmation:
Accumulation during uptrends confirms buying pressure
Distribution during downtrends confirms selling pressure
Divergence between price trend and SMF warns of potential reversal
For Reversal Detection:
Bullish divergence at price lows suggests potential bottom
Bearish divergence at price highs suggests potential top
Strong signals (triangles) with high volume add conviction
For Entry Timing:
Enter longs when SMF crosses into accumulation zone
Enter shorts when SMF crosses into distribution zone
Wait for high volume confirmation for stronger signals
Use divergences as early warning for position management
Alerts Available
SMF Accumulation Started — SMF entered accumulation zone
SMF Distribution Started — SMF entered distribution zone
SMF Strong Accumulation — Accumulation with high volume
SMF Strong Distribution — Distribution with high volume
SMF Bullish Divergence — Bullish divergence detected
SMF Bearish Divergence — Bearish divergence detected
Best Practices
High volume during accumulation/distribution adds significant conviction
Divergences are early warnings—don't trade them alone
Use in conjunction with price action and support/resistance
Works best on liquid markets with reliable volume data
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
LiquidityPulse Volume-Weighted Price Movement OverlayLiquidityPulse Volume-Weighted Price Movement Overlay (VWPM)
-This is a non-repainting indicator.
What this indicator does
This overlay is designed to make directional pressure + participation + wick rejection readable directly on price.
It combines:
Volume-Weighted directional pressure (bull vs bear pressure on the current timeframe)
Wick rejection “heat bands” (strength of upper/lower wick pressure, with optional volatility adaptation)
Lower-timeframe (LTF) trend + wick context (auto-selected or manual LTFs)
Chart markers for:
VOL = participation spike aligned with the current pressure direction
EXH = exhaustion warning when trend direction is met with strong opposite-wick pressure
This script is intended as an overlay/structure companion to the separate Volume-Weighted Price Movement (Oscillator) script (pane-based), which focuses on oscillator-style pressure/participation metrics.
Image: Overlay indicator applied to price
How to read it on the chart
1) Pressure Cloud + Candle Tint
The cloud and optional candle tint reflect the current timeframe’s pressure direction:
Green = bullish pressure dominant
Red = bearish pressure dominant
Brightness/opacity scales with pressure strength (normalized by a lookback period).
2) Wick Pressure Heat Bands
The lower band represents bullish wick pressure (lower-wick rejection/absorption).
The upper band represents bearish wick pressure (upper-wick rejection/supply).
Brighter = stronger wick pressure relative to its recent baseline.
Optional Adaptive bands to volatility uses ATR to keep band scaling more consistent across changing volatility regimes.
Image: Overlay + Oscillator working together
This chart highlights how volume participation and wick behaviour can be observed during periods of increased market interaction.
The arrows are used for visual reference only:
Red arrows indicate rising volume participation during the move.
Green arrows highlight increasing wick pressure, suggesting stronger rejection or absorption at those points.
3) VOL signal (Participation Spike)
A VOL marker appears when volume % of average exceeds your threshold and aligns with the current pressure direction.
This is a quick filter for:
“The current pressure direction is being supported by above-average participation.”
4) EXH signal (Exhaustion)
An EXH marker appears when the current trend is met with strong/extreme opposite wick pressure, e.g.:
Trend is Bullish but Bear wick becomes Strong/Extreme → possible bullish exhaustion / rejection risk
Trend is Bearish but Bull wick becomes Strong/Extreme → possible bearish exhaustion / absorption risk
Table (top-right)
You can toggle individual rows on or off in the settings. The table can display:
Trend (Chart)- Directional volume-weighted pressure on the chart timeframe (Bullish / Bearish, shown with ▲ ▼ icons)
Wick (Chart)- A real-time summary of wick pressure on the chart timeframe, reflecting how price is being rejected or absorbed within candles.
Possible states include:
Strong Bull – dominant lower-wick rejection (bullish absorption), shown with a green ▲
Strong Bear – dominant upper-wick rejection (bearish pressure), shown with a red ▼
Neutral – no meaningful wick imbalance, shown with a ●
Strong Both – elevated rejection on both sides, shown with a dual-pressure marker, often seen during volatility expansion or transitional conditions
Trend + Wick (Lower Timeframes)- Trend and wick context for two lower timeframes (auto-selected or manually chosen), allowing short-term behaviour to be viewed within the higher-timeframe structure
Core metrics- Bull Avg / Bear Avg, Bull–Bear Difference, Volume % Avg, and related participation statistics
Additional metrics- Further table rows can be enabled or disabled via the settings panel
How traders can use this indicator
Traders can use LiquidityPulse VWPM as a contextual tool to observe how price movement, volume participation, and wick behaviour interact.
Common use cases include:
Identifying periods where bullish or bearish pressure is dominant on the current timeframe
Observing wick rejection or absorption near highs/lows, especially during strong moves
Monitoring lower-timeframe trend and wick alignment within a higher-timeframe move
Noticing participation spikes (VOL) that confirm increased market involvement
Spotting exhaustion conditions (EXH) where strong opposing wick pressure appears against the prevailing trend
Image: This example highlights how the overlay can be used to monitor directional pressure on the chart timeframe while simultaneously observing trend and wick conditions from selected lower timeframes. The statistics table shows instances where lower-timeframe trend readings diverge from the chart-level pressure, alongside changes in wick behaviour. This allows traders to visually contextualise short-term shifts in participation and rejection within the broader structure.
Key settings (what they change)
Presets: Scalp / Intraday / Swing adjusts effective smoothing/normalization defaults to fit different trading speeds.
Lookback Period + Smoothing: These control how fast/slow the pressure model responds.
Lower values = faster response (more reactive/noisier)
Higher values = smoother response (slower/more stable)
Wick thresholds + Wick row mode: Strong / Extreme thresholds define when wick pressure is classified as Strong/Extreme relative to baseline.
Wick rows show can filter table wick rows to Extreme-only, Strong + Extreme, or Full.
Wick bands- Volatility Adapt: Adaptive bands to volatility (ATR-based) helps wick band height/offset remain visually consistent as volatility expands/contracts.
Adapt Strength controls how much the ATR regime affects the bands.
Visual controls: Transparency controls let you make the overlay more subtle or more prominent without changing calculations.
Why there is an Overlay and Oscillator version
This tool is intentionally split into two complementary indicators to preserve clarity and usability
Overlay version (this script): Focuses on price-level context, structure, wick pressure, lower-timeframe alignment, and event markers directly on the chart.
Oscillator companion version: Provides a dedicated pane for pressure balance, participation, and momentum acceleration metrics that benefit from oscillator-style visualisation.
Separating these views avoids overcrowding the price chart and allows each component to be interpreted more clearly in its appropriate context.
Disclaimer
This indicator is designed to visualise price–volume interaction, pressure, and wick behaviour.
It does not generate trade entries or exits signals and should be used as analytical context alongside a trader’s existing methodology and risk management only.






















