Trade by Design - v0.0.1Trade by Design - v0.0.1
📊 Overview
This indicator displays key price levels based on New York trading session times (17:00 NYT). It helps traders identify important support and resistance levels from the previous day, previous week, and the current trading day.
💡 Inspiration
This indicator was inspired by concepts presented in this video: www.youtube.com
Thanks to Annii, her youtube channel is www.youtube.com
Also you can check this video about Mastering the UK session www.youtube.com
I created this indicator for my personal trading needs and decided to share it with the community. Please note that this indicator is in its early development stage (v0.0.1) and may be updated or improved over time based on feedback and my trading experience.
📈 What It Displays
1. Previous Week Levels (HoW / LoW) - Orange
HoW (High of Week): The highest price reached during the previous week
LoW (Low of Week): The lowest price reached during the previous week
Week starts at Sunday 17:00 New York Time
2. Previous Day Levels (HoD / LoD) - Aqua/Cyan
HoD (High of Day): The highest price reached during the previous trading day
LoD (Low of Day): The lowest price reached during the previous trading day
Trading day starts at 17:00 New York Time (aligned with futures market open)
3. Initial Day Levels (iH / iL) - Green
iH (Initial High): The current day's running high
iL (Initial Low): The current day's running low
Displays the percentage range between iH and iL in parentheses
Optional: Include or exclude the gap period (17:00-20:00 NYT)
⚙️ Settings
Colors
Prev Week (LoW/HoW): Color for weekly levels (default: orange)
Prev Day (LoD/HoD): Color for daily levels (default: aqua)
Initial Day (iL/iH): Color for current day levels (default: green)
Style
Line width: Thickness of the lines (1-5)
Line transparency: Transparency for current lines (0-90%)
Historical line transparency: Additional transparency for historical lines (0-90%)
Line style: Solid, Dashed, or Dotted
Label offset: Distance of labels from current price (in bars)
Label size: Tiny, Small, Normal, or Large
History
Number of weeks to display: How many weeks of historical data to show (1-10)
Show historical HoD/LoD: Toggle to show/hide previous days' HoD/LoD levels
Show historical iH/iL: Toggle to show/hide previous days' iH/iL levels
Initial Day (iH/iL)
Include gap (17:00-20:00 NYT):
✅ Checked: iH/iL calculation starts at 17:00 NYT
❌ Unchecked: iH/iL calculation starts at 20:00 NYT (excludes pre-market gap)
🕐 Time Reference
All times are based on New York Time (America/New_York timezone):
17:00 NYT: Start of the trading day (aligned with futures/forex session)
20:00 NYT: Alternative start time for iH/iL when gap is excluded
📝 Label Naming Convention
Current Levels:
HoW, LoW (Previous Week)
HoD, LoD (Previous Day)
iH, iL (Current Day) - includes percentage range
Historical Levels (when enabled):
HoW2, LoW2, HoW3, LoW3... (Older weeks)
HoD2, LoD2, HoD3, LoD3... (Older days)
iH1, iL1, iH2, iL2... (Previous days' initial ranges)
🎯 How to Use
Support & Resistance: Use HoW/LoW and HoD/LoD as potential support and resistance levels
Range Trading: Monitor the iH/iL percentage to gauge daily volatility
Breakout Trading: Watch for price breaking above HoD/HoW or below LoD/LoW
Multi-Timeframe Analysis: Enable multiple weeks to see longer-term levels
⚠️ Disclaimer
This indicator is in early development (v0.0.1) and was created for personal trading use
Past price levels do not guarantee future support/resistance
Always use proper risk management and combine with other analysis methods
This is not financial advice - trade at your own risk
🔄 Version History
v0.0.1 (Current)
Initial release
Previous week high/low (HoW/LoW)
Previous day high/low (HoD/LoD)
Initial day high/low (iH/iL) with percentage range
Multiple weeks history support
Customizable colors, transparency, and label sizes
Gap inclusion/exclusion option for iH/iL
💬 Feedback
This indicator is a work in progress. If you have suggestions for improvements or find any issues, please leave a comment below. Your feedback helps make this tool better for everyone!
Happy Trading! 📈
Analyse de la tendance
5-SMA Smart PivotDescription
This indicator is designed to identify short-term trend reversals by detecting pivot points in the 5-period Simple Moving Average (SMA).
How It Works
The script monitors the 5-day SMA for specific turning points:
Turn Down (Purple Arrow): Triggers when the SMA shifts from rising/flat to falling.
Turn Up (White Arrow): Triggers when the SMA shifts from falling/flat to rising.
Key Features
Smart Filter (Price Confirmation): Includes an optional "Weak Signal Filter" enabled by default. This ensures an arrow is only plotted if the price actually closes on the correct side of the SMA (e.g., Price must close below the SMA for a Down arrow). This helps reduce noise in choppy markets.
Clean Settings Menu: Unlike standard scripts that clutter your "Style" tab with dozens of checkboxes, this script uses dynamic labeling. This keeps your settings menu clean while still giving you full control.
Fully Customizable:
Arrow Size: Select from "Tiny" to "Huge" via a simple dropdown menu.
Colors: Fully adjustable colors for the SMA line, Up arrows, and Down arrows.
Settings
SMA Length: Default is 5, but can be adjusted to any length.
Filter Weak Signals: Toggle on/off to require price confirmation.
Visual Style: Change line width, colors, and arrow sizes instantly from the Inputs tab.
Usage
This tool is best used for short-term momentum trading to catch immediate shifts in trend direction. It works well when combined with a longer-term trend filter (like the 20/50 SMA) to take signals only in the direction of the major trend.
Venu Dynamic Supply and Demand Zones [AlgoAlpha]Dynamic Supply and Demand Zones by AlgoAlpha
Modified to show percentages to right side of Supply and Demand zones
Peaks and Troughs📄 Script Description – EN (English)
Peaks and Troughs (P&T) is a price action indicator that identifies confirmed swing highs (peaks) and swing lows (troughs) based on structural trend changes.
Key features:
Trend-break based peak and trough confirmation
Optional engulfing signal at confirmed swing points
Body-break based Mother Bar (Outside Bar) range marking
Clean chart output with only the latest active levels
Unified alert system using Any alert() function call
Designed for discretionary trading, market structure analysis and automation-ready alerting.
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📄 Script Description – HU (Magyar)
A Peaks and Troughs (P&T) egy price action alapú indikátor, amely megerősített csúcs- (peak) és völgypontokat (trough) azonosít trendváltás alapján.
Főbb jellemzők:
Trendtörés alapú peak és trough meghatározás
Opcionális engulfing jelzés megerősített swing pontokon
Body-break alapú Mother Bar (Outside Bar) tartomány jelölés
Letisztult chart, mindig csak az aktuális szintekkel
Egységes riasztási rendszer (Any alert() function call)
Diszkrecionális kereskedéshez, market structure elemzéshez és automatizált riasztásokhoz optimalizálva.
Momentum Adaptive EMA | RakoQuantMomentum Adaptive EMA is a trend-following moving average system designed to dynamically adjust its responsiveness based on market momentum.
Instead of using a fixed smoothing speed like a normal EMA, this indicator becomes fast in strong moves and slow in choppy conditions, producing a cleaner adaptive trend structure.
This version also introduces a secondary POT Moving Average for smooth regime confirmation.
Core Idea
This indicator answers one key question:
Is momentum accelerating enough to justify a faster trend response?
By adapting the EMA’s smoothing factor in real time, the indicator avoids the two classic problems of moving averages:
Lag in strong trends
Whipsaws in sideways markets
How It Works
1. Momentum-Based Adaptivity Engine
The indicator measures momentum using a Rate-of-Change style move:
ROC = current price − price N bars ago
That momentum is normalized by volatility:
Momentum Strength = |ROC| ÷ stdev(ROC)
This produces a clean, scale-independent momentum score.
2. Adaptive EMA (Dynamic Alpha)
Instead of a constant EMA alpha, smoothing is adjusted between:
Alpha Min → slow mode (stable markets)
Alpha Max → fast mode (strong trend markets)
Adaptivity is controlled by:
k (Strength Parameter)
High momentum → EMA reacts faster
Low momentum → EMA smooths more
3. POT Moving Average (Weighted Trend Anchor)
A second moving average is calculated using a Power-Weighted POT MA, where the most recent values receive heavier weight:
Stronger emphasis on recent trend shifts
Smooth confirmation without volatility bands
This creates a clean dual-average regime filter:
Adaptive EMA = fast regime line
POT MA = slower structure anchor
Regime Signals
Trend regime is defined by crossovers:
Bullish regime: Adaptive EMA crosses above POT MA
Bearish regime: Adaptive EMA crosses below POT MA
Optional persistence keeps regimes stable instead of flipping constantly.
Visual System
Bull regime → Ice Blue trend state
Bear regime → Navy trend state
Candle painting optionally matches the active regime
The result is a clean institutional trend overlay with adaptive behavior.
Alerts Included
Bull Break Alert → Adaptive EMA crosses ABOVE POT MA
Bear Break Alert → Adaptive EMA crosses BELOW POT MA
Useful for automation or confirmation systems.
How to Use
✅ Trend filter for directional trading
✅ Adaptive MA replacement for classic EMA systems
✅ Works well on higher timeframes (4H / 1D)
✅ Combine with breakouts, momentum triggers, or volume tools for entries
Inputs Summary
Momentum Length → speed of momentum detection
Normalization Length → volatility scaling window
Alpha Min / Alpha Max → slow vs fast response bounds
Adaptivity Strength (k) → aggressiveness of adaptation
POT Length + Power → smoothing of the confirmation MA
Persistent Regime Toggle → stability vs live switching
Candle Paint Toggle → visual regime clarity
Screenshot Placement
📸 Example chart / screenshot: (insert image here)
Tip: show a strong bull trend + one bearish flip so users understand the adaptive behavior.
DEMA Volatility SuperTrend | RakoQuantDEMA Volatility SuperTrend is a clean trend-regime indicator built for volatile markets such as crypto.
It combines a Double Exponential Moving Average (DEMA) baseline with a standard deviation volatility envelope, then applies classic SuperTrend trailing logic to produce persistent bullish and bearish regimes.
This tool is designed for traders who want a smooth but responsive trend structure without relying on ATR alone.
Core Concept
This indicator answers one simple question:
Are we currently in a bullish trend regime or a bearish trend regime?
It does this by building a dynamic volatility corridor around a DEMA baseline and flipping only when price breaks beyond the active band.
How It Works
1. DEMA Baseline (fast + low lag)
A DEMA is used instead of a normal EMA to reduce lag while maintaining smooth trend behavior.
2. Volatility Engine (Standard Deviation)
Volatility bands are created using:
Raw Source Volatility
Classic standard deviation behavior
Residual vs Baseline Volatility
Measures deviations from the DEMA baseline for cleaner regime detection
Band formula:
Upper Band = baseline + multiplier × stdev
Lower Band = baseline − multiplier × stdev
3. SuperTrend Trailing Regime Logic
Instead of flipping every touch, the bands trail using SuperTrend persistence rules:
Bull regime → active lower band acts as support
Bear regime → active upper band acts as resistance
Flips occur only when price breaks beyond the trailing band.
Visual System
Bull regime: Ice-Blue active band
Bear regime: Violet active band
Optional faint inactive bands provide structure
Optional fill highlights the active regime corridor
Optional candle painting matches the regime state instantly
Alerts Included
Bull Flip Alert → regime turns bullish
Bear Flip Alert → regime turns bearish
Perfect for automation or regime-based filtering.
How to Use
✅ Trend filter for swing trading
✅ Regime confirmation layer for systems
✅ Works best on higher timeframes (4H / 1D)
✅ Combine with momentum or breakout triggers for entries
Inputs Summary
DEMA Length → baseline responsiveness
Volatility Length + Multiplier → band width + sensitivity
Volatility Mode → raw vs residual volatility
Flip Source → Close or HL2 for regime switching
Visual toggles → fill, candles, inactive rails
Screenshot Placement
📸 Example chart / screenshot:
Tip: show one bullish flip + one bearish flip with candle painting enabled.
Emerging Shotgun StrategyThis strategy was made after watching a YouTube video on the trader named Bibiri. You need to watch the emerging markets fund (Russell, or other) and then have multiple different stocks open. If you see an arrow, take out a position with a high take profit but a really short stop loss. This will mean that a lot fail, but the ones that jump will make profits.
ST | TICK BarsThis indicator displays Market Breadth data (TICK) in a clean, institutional-style bar chart format with a clear Zero Line reference. It is essential for validating intraday momentum and trend strength.
EMA 5 7 Ribbon You can use this to catch bi moves.
There are simple moving averages.
you can change colour in settings.
Key Levels - Prop Trader JourneyKey Levels – Prop Trader Journey (Intraday Levels + Clean Right-Side Layout)
This indicator plots session-based reference levels commonly used for intraday futures/stocks, with a focus on clean chart layout and label collision handling.
What it plots (toggle each on/off)
Today’s RTH High/Low (TDH/TDL)
Opening Range High/Low (ORH/ORL) based on the first N minutes after RTH open
Pre-Market High/Low (PMH/PML) based on the premarket session window
First Hour High/Low (1HH/1HL) based on the first N minutes after RTH open
Yesterday’s RTH High/Low (YDH/YDL) captured at the next RTH open
RTH Open price
RTH Average line (AVG) using a selectable source (HL2 / HLC3 / OHLC4 / HLCC4)
This Week / Last Week levels (O/H/L/C + Avg) from the weekly timeframe
Optional Session Open level at a configurable time (default 18:00 NY)
2 Custom price levels (optional extend-left)
How levels are calculated (high level)
The script detects whether the current bar is inside RTH / Pre-Market / Opening Range / First Hour using your chosen time zone and session templates.
High/Low levels update in real time while inside each session window. Premarket levels are cached so they remain visible after premarket ends.
Weekly levels are pulled from the weekly timeframe to provide higher-timeframe context.
Display modes
Compact mode: levels are drawn in a compact “right-side” layout using a configurable right offset and line length.
Pivot mode: levels originate from the bar where the level was established/updated and extend toward the right.
Label collision handling (the “unique” part)
When multiple levels are close together, labels can overlap. This script supports:
Merge: combine nearby levels into one label within a tick threshold
Stack: show separate labels stacked vertically
Merge + Stack (4+): merge normally, but stack when there are many levels
This helps visualize confluence/stacked zones without clutter.
Customization
Every level has its own color / line style / width controls. Labels have adjustable text/bg/size, and custom levels can extend left by a user-defined number of bars.
How to use with you trade
Use these levels as reaction areas (support/resistance, rejection, breakout/retest). When labels “stack” or multiple names appear merged at similar prices, that signals confluence—often a more important zone than a single level.
Simple moving averageThis indicator is based on simple moving average
if you are struggling where to get in to the market it can help you to fine the entries by increasing moving average number you can remove the wrong buy sell signals.
SwiftEdge ApexThis open-source indicator is designed to help traders visually identify aggressive volume activity ("big trades"), place it in the context of dynamic price deviation from an exponentially weighted VWAP, track a developing Point of Control (POC) during a user-defined session, and highlight potential absorption or exhaustion patterns.
Core Components and Original Integration:
Adaptive VWAP with EWMA Deviation Bands
Instead of a standard cumulative VWAP, the script calculates an exponentially weighted moving average (EWMA) of variance on price-volume data (using a user-adjustable lambda sensitivity). This produces smoother, faster-adapting standard deviation bands (1σ to 3σ) that highlight statistically significant price extensions more responsively than simple moving averages.
Tiered Big Trade Detection (Footprint-Style Bubbles)
Volume is compared against a simple moving average over a user-defined lookback period. Trades exceeding customizable multipliers (1.2× to 8×) and a minimum volume threshold are flagged.
For Premium users, the bubble is plotted at the volume-weighted average price within the bar's 1-second sub-bars (true footprint precision). Non-Premium users fall back to the bar's close price (no errors occur). Bubble size scales with multiplier strength, with white outlines on the largest ones for clarity, and bubbles are colored green/red based on candle direction.
Live Session-Based POC
Volume is accumulated at price levels (rounded to 10 ticks) starting from a configurable session time (default 09:00). The array resets on new sessions or daily changes, producing a developing POC line that acts as a potential value-area magnet or support/resistance reference.
Absorption & Exhaustion Filters
Absorption: High-volume bars with unusually small range (below average range × user multiplier) are marked with lime/red triangles — suggesting hidden buying/selling pressure.
Exhaustion: Extremely high-volume bars with tiny bodies (small close-open relative to range) receive a background tint and "EXH" label — indicating potential climactic activity or fatigue.
How the Elements Work Together:
The VWAP bands provide overall market context (is price extended?). Big-trade bubbles show where aggressive participants are active. The session POC adds a developing fair-value reference. Absorption and exhaustion signals help interpret whether big volume is being met with resistance (absorption → possible continuation) or capitulation (exhaustion → possible reversal). Together they create a layered "smart money footprint" overlay rather than isolated plots.
How to Use the Indicator:
Apply to liquid instruments with reliable volume data (futures, major stocks, large-cap crypto).
In the "Big Trade Bobler" settings:
Adjust lookback period and minimum volume to reduce noise.
Tune multipliers (lower = more signals, higher = stronger but rarer events).
Turn "Use Premium Bubbles" off if you do not have TradingView Premium (script gracefully uses bar close instead of 1-second data).
Set session start hour/minute for POC calculation (e.g., NYSE open at 9:30).
Enable/disable absorption triangles and exhaustion highlights/labels based on preference.
Interpretation tips:
Watch for clusters of large bubbles near VWAP ±2σ/3σ or close to the POC line.
Absorption on trend bars may indicate continuation.
Exhaustion often appears at swing highs/lows and can precede reversals.
Important Limitations:
1-second footprint precision requires TradingView Premium; non-Premium accounts use standard bar close (still functional but less granular).
Volume data quality depends on the symbol and data feed (tick volume is used as proxy on forex/crypto).
This is a discretionary visualization tool — not a mechanical strategy, no entry/exit signals, and no performance backtest is included.
Volume spikes and patterns do not predict future price movement with certainty; always use in combination with your own analysis and proper risk management.
Smart Pivot Trend█ OVERVIEW
Smart Pivot Trend is a market structure–based trend indicator that combines swing pivots, volatility adaptation (ATR), and dynamic range levels to determine which side of the market is in control — buyers or sellers. Instead of moving averages, trend direction is defined through structural breaks inside pivot ranges.
The indicator visualizes the active trend, evolving market structure, and historical support/resistance levels created at moments of control shifts. It helps identify trend transitions, structure breaks, and areas where price has an increased probability of reaction.
█ CONCEPT
Built around adaptive swing structure. The core idea is that trend emerges from market structure, not from price relative to an average.
- Swing highs and swing lows form the current structural range.
- Two internal percentage-based levels inside this range act as decision zones.
- Break above the upper level → bullish control.
- Break below the lower level → bearish control.
To prevent structure from becoming outdated during strong moves, pivots are dynamically adjusted when price deviates beyond ATR × multiplier. This mechanism makes the structure volatility-aware rather than static.
As a result, the indicator combines:
- a dynamic, living market structure (active pivot trend)
- static “market memory” levels marking previous control shifts
█ FEATURES
Calculations
- Swing pivots as the foundation of market structure
- Internal range levels as structural decision zones
- ATR-based adaptive pivot correction (volatility-aware structure)
- Smooth Factor — controls the degree of structural correction relative to price; defines how fast pivots adapt during strong moves
- Trend change detection through structural range breaks
Visualization
- Active trend line based on current structure
- Historical support/resistance levels plotted at trend flips
- Triangles marking breaks of those levels
- Gradient fill between price and the active trend line
- Trend-based coloring (green = bullish, red = bearish)
- Optional candle coloring based on current structural trend (bullish / bearish control)
Signals
- BUY / SELL — on structural trend changes
- Bullish Break / Bearish Break — when historical levels are broken
- Impulse breaks (when candles break levels with strong momentum)
Alerts
- Trend change to bullish
- Trend change to bearish
- Resistance break
- Support break
█ HOW TO USE
Main settings:
- Swing Length — sensitivity of swing detection
- Lower / Upper Level — internal structural decision levels
- ATR Length / Multiplier — influence of volatility on pivot adaptation
- Smooth Factor — speed of structural adjustment to price
- Visual options — colors, hiding lines, deleting broken levels, color candles by trend
Trend logic:
- Price above active pivot low → bullish structure
- Price below active pivot high → bearish structure
█ APPLICATION
Trend-following
- The indicator can act as a directional filter for signals from other tools.
- Entries are taken only when signals from external indicators (e.g., RSI, MACD, momentum tools, price action setups, breakout systems) align with the current Smart Pivot Trend direction.
- Highest probability occurs when entries happen during pullbacks to the active trend line in the direction of the prevailing structure.
Market structure shifts
- A trend flip represents a transfer of control between buyers and sellers.
- These moments often precede larger moves because the swing structure changes.
Breakout trading
- Historical levels mark areas where control previously changed.
- Their break often leads to volatility expansion and impulsive movement.
Pullback trading
- The active trend line acts as dynamic support/resistance.
- Pullbacks to this line in strong trends often provide favorable risk-to-reward setups.
█ ADAPTATION TO TRADING STYLE
The Swing Length and Smooth Factor parameters allow the indicator to be tailored to different trading styles:
Shorter Swing Length + higher Smooth Factor
- structure reacts faster
- more frequent trend shifts
- suitable for scalping and intraday trading
Longer Swing Length + lower Smooth Factor
- slower structural changes
- filters minor fluctuations
- better suited for swing trading and longer-term positions
This allows the indicator to function both as a fast micro-structure engine and as a stable higher-level trend filter.
█ NOTES
- This is a structural analysis tool, not a standalone trading system
- Best results come when combined with key S/R levels, higher timeframe context, and price action
- In ranging markets, trend flips may occur more frequently — a natural behavior of structure-based systems
ZLEMA FusionZLEMA Fusion - Advanced Zero-Lag Momentum & Trailing Stop System
A sophisticated overlay indicator combining the power of Zero Lag EMA (ZLEMA) with ATR-based Moving Stop (MOST) for precision trend following and dynamic support/resistance tracking.
Core Components:
1. ZLEMA (Zero Lag Exponential Moving Average)
Eliminates lag inherent in traditional EMAs
Provides faster response to price changes
Customizable length for different trading styles
Smooth, responsive trend line
2. MOST (Moving Stop - ATR Trailing Stop)
Dynamic ATR-based trailing stop system
Automatically adjusts to market volatility
Never moves backward - only trails in favourable direction
Green line = Uptrend support | Red line = Downtrend resistance
Customizable ATR multiplier and lookback period
Signal Generation:
BUY (⇑): When ZLEMA crosses above MOST
SELL (⇓): When ZLEMA crosses below MOST
Clean visual arrows with no label boxes
Signals trigger on candle close only (no repainting)
Advanced Features:
✅ Signal Cooldown System - Prevents signal spam with configurable minimum bars between signals
✅ ADX Trend Strength Filter - Optional filter to trade only in strong trends
✅ Higher Timeframe ZLEMA Confirmation - Multi-timeframe trend alignment for higher probability setups
✅ Background Color Coding - Quick visual trend identification (Green = Uptrend, Red = Downtrend)
✅ Alert System - Built-in alerts for buy and sell signals
Fully Customizable:
ZLEMA length
ATR period and multiplier
MOST lookback period
Signal cooldown bars
ADX filter threshold
Higher timeframe settings
Visual display options
Best Used For:
Index trading
Swing trading
Trend following strategies
Dynamic support/resistance identification
Entry/exit timing
Optimized for Indian Markets - Calibrated for Nifty, Bank Nifty, and other NSE instruments.
⚠️ Important Notes:
This indicator is for educational purposes
No repainting - all signals confirmed at candle close
Use proper risk management
Combine with your trading plan and additional confirmation
Batoot Algo PureBatoot Algo (Pure Analysis Mode)
Indicator Overview
Batoot Algo is an advanced technical analysis indicator based on:
Price Action and geometric chart patterns
Higher Timeframe (HTF) trend filtering
Volume confirmation
Breakout & Retest logic
Head & Shoulders pattern detection
Analysis-only indicator. No Buy/Sell labels on the chart. Alerts and Dashboard only.
The goal is clean charts and smarter trading decisions.
---
Entry Modes
Aggressive (Breakout)
Immediate entry on breakout
Requires:
Confirmed breakout
High volume
Optional trend alignment
Conservative (Retest)
Breakout → Wait for retest → Confirmation candle
Reduces false signals
Suitable for patient trading
---
HTF Trend Filter
Uses EMA crossover on higher timeframe:
EMA 50
EMA 200
EMA50 > EMA200 → Bullish EMA50 < EMA200 → Bearish
Filter can be enabled or disabled in settings.
---
Price Patterns Detected
Automatically detects and draws:
Bullish / Bearish Flags
Channels
Triangles / Pennants
Rising Wedge (Bearish)
Falling Wedge (Bullish)
The area between support and resistance lines is dynamically filled based on the pattern.
---
Yellow Candle (High Volume)
Yellow candles indicate High Volume.
Triggered when:
Current candle volume >= Average volume of last 20 candles × volume multiplier
Default multiplier: 1.5
Confirms strong breakouts. Not a standalone entry signal.
---
Head & Shoulders Detection
Supports:
Head & Shoulders (Bearish)
Inverse Head & Shoulders (Bullish)
Neckline drawn automatically. Breakout validated with volume. Pattern status shown in Dashboard.
---
Dashboard
Displays:
Entry Mode (Aggressive / Conservative)
HTF Trend
Current Pattern
Head & Shoulders Status
Market Status: ENTRY BUY, ENTRY SELL, WAIT RETEST, SCANNING
---
Alerts
Alerts trigger only when:
Pattern confirmed
Breakout / Retest logic satisfied
High volume confirmed
Trend filter (if enabled) passes
No trade labels plotted on chart.
---
License & Attribution
Licensed under Creative Commons Attribution 4.0 (CC BY 4.0)
Free to use and modify. Attribution required. Removing or changing the author name is not allowed.
---
This indicator is for technical analysis purposes only and is not financial advice. Always use proper risk management.
---
Clean chart, smart analysis, better trading decisions.
Worldclassedge [Patrick nill]plotshape(long, title="BUY", text="Long▲", style=shape.labelup, textcolor=color.white, size=size.auto, location=location.belowbar, color=color.green)
plotshape(short, title="SELL", text="Short▼", style=shape.labeldown, textcolor=color.white, size=size.auto, location=location.abovebar, color=color.red)
alertcondition(long, title="BUY", message="Long▲")
alertcondition(short, title="SELL", message="Short▼")
// VWAP
anchor = input.string("Session", title="Anchor Period")
MILLIS_IN_DAY = 86400000
dwmBarTime = timeframe.isdwm ? time : request.security(syminfo.tickerid, "D", time)
dwmBarTime := na(dwmBarTime) ? nz(dwmBarTime ) : dwmBarTime
var periodStart = time - time
makeMondayZero(dayOfWeek) => (dayOfWeek + 5) % 7
isMidnight(t) => hour(t) == 0 and minute(t) == 0
isSameDay(t1, t2) => dayofmonth(t1) == dayofmonth(t2) and month(t1) == month(t2) and year(t1) == year(t2)
isOvernight() => not (isMidnight(dwmBarTime) or request.security(syminfo.tickerid, "D", isSameDay(time, time_close), lookahead=barmerge.lookahead_on))
tradingDayStart(t) => timestamp(year(t), month(t), dayofmonth(t), 0, 0)
numDaysBetween(t1, t2) =>
diff = math.abs(tradingDayStart(t1) - tradingDayStart(t2))
diff / MILLIS_IN_DAY
tradingDay = isOvernight() ? tradingDayStart(dwmBarTime + MILLIS_IN_DAY) : tradingDayStart(dwmBarTime)
isNewPeriod() =>
var isNew = false
if tradingDay != nz(tradingDay )
isNew := switch anchor
"Session" => na(tradingDay ) or tradingDay > tradingDay
"Week" => makeMondayZero(dayofweek(periodStart)) + numDaysBetween(periodStart, tradingDay) >= 7
"Month" => month(periodStart) != month(tradingDay) or year(periodStart) != year(tradingDay)
"Year" => year(periodStart) != year(tradingDay)
=> false
isNew
srcVWAP = hlc3
var float sumSrc = 0
var float sumVol = 0
if isNewPeriod()
periodStart := tradingDay
sumSrc := 0
sumVol := 0
if not na(srcVWAP) and not na(volume)
sumSrc += srcVWAP * volume
sumVol += volume
vwapValue = sumSrc / sumVol
plot(vwapValue, title="VWAP", color=color.red, linewidth=3)
// =
enableCloud = input.bool(false, "Enable Cloud")
lenn = input.int(20, "Period")
mult = input.float(2.5, "StdDev Multiplier")
tc = input.int(25, "Gauge Size", minval=3)
upColor = input.color(#00ffbb, "Up Color")
downColor = input.color(#ff1100, "Down Color")
basis = ta.sma(close, lenn)
upper1 = basis + ta.stdev(close, lenn) * mult
lower1 = basis - ta.stdev(close, lenn) * mult
// TP
var int position = 0
if long
position := 1
else if short
position := -1
Trapped Traders EBPThe Trapped Traders Indicator is used to predict overall Market bias, with green being longs, and red being shorts.
The autofibs are 0%,25%,50%,and 100%. After an autofib and directional bias is generated, you'll want to look for an entry on a lower time frame somewhere between the 25% and 50% ideally.
A simple trading plan:
Use the indicator on the 4 Hour chart. Wait until you get an autofib. Zoom down to the 5 minute chart and wait for price to reach the 25% retracement. Look for an entry using an entry model of your choice. For example: an engulfing 5 minute bar in the direction of your bias, an order block, fair value gap, or choch in your favor.
This method of trading was introduced to me by Omar Agag. Cheers to prosperity, brother!
Good luck! And happy trading!
COT: CTA POSITIONINGCOT: CTA POSITIONING
A comprehensive Commitment of Traders (COT) indicator that tracks institutional money manager positioning across futures markets. This indicator displays CTA (Commodity Trading Advisor) net positioning as a percentile rank, helping traders identify potential market extremes and contrarian opportunities.
Key Features:
Multi-Market Coverage: Automatically detects and displays COT data for 60+ futures contracts across equity indices, bonds, currencies, cryptocurrencies, metals, energy, grains, livestock, and softs
Percentile Rank Display: Shows CTA net positioning (long minus short) as a percentile over a customizable lookback period (default 156 weeks ≈ 3 years)
Extreme Zones: Visual highlighting of potential reversal zones when CTAs reach positioning extremes (>80th percentile = bearish, <20th percentile = bullish)
Liquidity Analysis Table (optional): Displays detailed positioning breakdown including:
Gross long and short positions
Net positioning
20-day average volume
Net position as % of average daily volume
Estimated days to unwind net position
Methodology:
The indicator pulls CFTC Commitment of Traders data from both Financial Traders (COT3) and Disaggregated (COT2) reports, focusing specifically on leveraged money managers (CTAs/hedge funds). It calculates:
Net Positioning = CTA Longs - CTA Shorts
Net as % of Open Interest
Percentile rank of current net positioning vs. lookback period
Interpretation:
High readings (>80): CTAs are extremely net long - potential bearish reversal signal
Low readings (<20): CTAs are extremely net short - potential bullish reversal signal
Works best as a contrarian indicator on weekly timeframes
Consider liquidity metrics to assess position size relative to market capacity
Settings:
Lookback Period: Adjustable percentile calculation window (default 156 periods)
Show Table: Toggle detailed positioning and liquidity data display
Supported Markets:
Equity Indices (ES, NQ, RTY, YM), Treasuries (ZT, ZF, ZN, ZB, UB), Currencies (6E, 6J, 6B, 6C, 6A), Crypto (BTC, ETH), Metals (GC, SI, HG, PL, PA), Energy (CL, NG, RB, HO, BZ), Grains (ZC, ZW, ZS, ZM, ZL), Livestock (LE, HE, GF), and Softs (SB, CT, KC, CC, OJ)
Note: COT data is released weekly on Fridays and reflects positions as of Tuesday close. This indicator works best on daily or weekly timeframes.
Data sourced from CFTC Commitment of Traders reports via TradingView's COT library.
Time Pattern Analyzer - Multi Mode [fmb]This is a lightweight session-behaviour overlay that helps you spot whether a market tends to move up or down at specific days or times.
- Two analysis modes
Weekday: Breaks performance down by Mon–Fri
Hour of Day: Breaks performance down by 0–23 and can also track a single exact time (hour + minute), like 09:30
- Visual timing markers (optional)
Draws vertical lines on the chart for the selected day(s) or time(s)
Line colour reflects the bar direction: green (up), red (down), grey (neutral)
Fully adjustable width and style (solid, dotted, dashed)
- Flexible “green vs red” definition
Body mode: Close > Open (candle body direction)
Previous close mode: Close > Close (momentum vs prior bar)
- Stats table (optional)
For each day or hour, the table shows:
Count (sample size)
% Green
% Red
Average % move (average return for that bucket)
Table can be positioned anywhere on the chart (top/bottom, left/centre/right)
Use cases
- Quickly identify recurring tendencies like “Mondays are strongest” or “first hour is choppy,” and validate timing ideas with clear counts and averages instead of guesswork.
Note: This tool reports historical tendencies, not predictions. Always account for regime changes, news risk, and liquidity.
ADX DMI SqueezeOverview
This indicator combines:
ADX / DMI → Measures trend strength and direction
ADX Squeeze Histogram → Shows when the trend is accelerating or “squeezing” for a breakout
Triangles → Highlight potential expansion points
Optional DI+ / DI− lines → Show bullish/bearish dominance
ADX Threshold Lines (15 / 20) → Help filter weak trends
Early ADX Acceleration Dots → Provide an early heads-up before a squeeze fires
It can be used standalone or alongside other trend tools like VWAP for better entry timing.
Entry Guidelines
Long Trades (Buy):
Histogram above 0
Green triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI+ > DI− confirms bullish strength
Short Trades (Sell):
Histogram above 0
Red triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI− > DI+ confirms bearish strength
Avoid trades if:
Histogram negative
Triangles appear but ADX below threshold or trend not confirmed by DI linesOptional Filters
Require ADX acceleration: Only shows signals when ADX is increasing → avoids late or false entries
VWAP Bias: Session-anchored institutional positioning (best for open & intraday scalps).
MA Bias: Time-based trend direction (best for continuation & trend days).
Tips
Best on 30-min or higher timeframes for swing/short-term trend trades
Can be combined with VWAP Moving averages , support/resistance, or Bollinger Bands
Use DI lines toggle if you want extra visual trend confirmation
Adjust DMI length (sensitivity) and ADX smoothing for your preferred timeframe
Interpretation
Histogram turning green above 0 + triangle → strong bullish move forming
Histogram turning red above 0 + triangle → strong bearish move forming
ADX above 20 → strong trend, more reliable
ADX below 15 → weak trend, signals less reliable
In short:
Long = Green bars above 0 + Green triangle
Short = Red bars above 0 + Red triangle
Confirm with ADX above threshold and optionally DI lines
yesterday
RSL Buy Signal Alert the relative Strength Index from Levy is checked. If it is above a dynamic value, an alert is triggered
UTC-5 Time MarkersFor model 110 of DTT use flout with this as a bias and you will catch high wr high rr trades for this certain time window of continuation or reversal
MACD Buy E Sell EditavelMacd personalizavel com sell para cruzamento de venda e buy para cruzamento de compra






















