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
Trend Analysis
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.
RSI For Loop | RakoQuantRSI For Loop | RakoQuant is a regime-based momentum oscillator built from first principles using a loop-driven RSI engine, designed for clean trend-state detection and systematic backtesting inside an indicator framework.
This tool is part of the RakoQuant protected research line, combining institutional visuals, persistent regime logic, and a full custom performance table normally reserved for strategies.
Core Concept
This indicator answers one key question:
Is momentum expanding into a bullish regime, collapsing into bearish weakness, or remaining neutral?
Unlike standard RSI implementations, this version computes directional pressure through a for-loop accumulation model, producing a more structural and controlled oscillator.
How It Works
1. For-Loop RSI Engine
Instead of the classic single-step RSI calculation, this script uses:
Loop-based directional gain accumulation
Loop-based directional loss accumulation
RMA smoothing over the loop pressure
This creates a cleaner regime signal that avoids noisy single-candle distortions.
2. Threshold Regime Structure
Two thresholds define the oscillator regime:
Bullish Expansion → RSI breaks above Long Threshold
Bearish Contraction → RSI breaks below Short Threshold
State persists until a flip occurs, creating a true regime model rather than candle-by-candle oscillation.
3. BUY / SELL Flip Labels
On confirmed state transitions:
𝓑𝓾𝔂 prints on bullish regime activation
𝓢𝓮𝓵𝓵 prints on bearish regime breakdown
These flips are designed for:
Trend continuation confirmation
Regime-based positioning
Portfolio directional filters
UniStrat Premium Visual Engine
This protected release includes the full RakoQuant Palette System, supporting:
Alpha
Desert
Premium
Navy
Warm
Toxic
Neo
Matrix
All oscillator plots, candle painting, and tables automatically inherit the active palette.
RQ Custom Metrics Table (Indicator Backtest)
The defining feature of this protected script is its built-in:
♛ RQ Custom Metrics Engine
A full indicator-native backtest system displays:
Equity Max Drawdown
Intra-Trade Max Drawdown
Profit Factor
Win Rate
Sharpe Ratio
Sortino Ratio
Omega Ratio
Half Kelly Exposure
Total Trades
Net Profit %
Displayed in the signature table:
𝓑𝓪𝓬𝓴𝓽𝓮𝓼𝓽 𝓜𝓮𝓽𝓻𝓲𝓬𝓼
This allows systematic evaluation of indicator performance before building full strategies.
How to Use
✅ Momentum regime confirmation tool
✅ Trend continuation oscillator
✅ Portfolio trend filter (RSPS / UniStrat frameworks)
✅ Works best on 4H–1D swing environments
Recommended workflow:
Only trade long when oscillator is bullish
Defensive/cash when oscillator flips bearish
Combine with breakout or trend confluences for execution
Screenshot Placement
📸 Example chart / screenshot:
Keltner Channels For Loop | RakoQuantKeltner Channels For Loop | RakoQuant is a regime-based trend indicator built on a robust volatility engine using a for-loop True Range mean, designed specifically for clean trend-state classification in crypto markets.
This tool is part of the RakoQuant protected research line, combining institutional visuals, persistent breakout logic, and built-in backtest-grade performance metrics.
Core Concept
This indicator answers one key question:
Is price breaking into a bullish expansion regime, or collapsing into bearish volatility?
Unlike standard Keltner Channels that rely on ATR smoothing, this version computes volatility using a loop-based TR mean, producing a more structurally consistent envelope.
How It Works
1. Adaptive Keltner Basis
The channel baseline can be selected from:
EMA (default)
HMA (faster trend anchor)
DEMA (low-lag institutional baseline)
2. For-Loop True Range Volatility Engine
Instead of ATR, volatility is measured by:
True Range calculated per candle
Mean(TR) computed through a for-loop population average
This reduces noise artifacts and creates cleaner trend corridors.
3. Regime Breakout Logic
Two signal modes are supported:
Breakout Persistent Mode
State flips only when price breaks beyond the channel
Live Mode
State updates dynamically based on position relative to bands
Regime states:
Bullish → active bullish expansion
Bearish → defensive contraction
Neutral → no volatility breakout
Visual Engine (UniStrat Palette)
This script uses the full RakoQuant Premium Palette System:
Alpha, Desert, Premium, Navy, Warm, Toxic, Neo, Matrix
Bull and Bear states automatically repaint:
Rails
Candle colors
Buy/Sell labels
BUY / SELL Labels
On confirmed regime flips:
𝓑𝓾𝔂 prints on bullish breakout
𝓢𝓮𝓵𝓵 prints on bearish breakdown
Designed for clean regime shifts — not candle-to-candle noise.
RQ Custom Metrics Table (Built-In Backtest)
This protected release includes the full RakoQuant Indicator Backtest Engine, displaying:
Equity Max Drawdown
Intra-Trade Max Drawdown
Profit Factor
Win Rate
Sharpe Ratio
Sortino Ratio
Omega Ratio
Half Kelly Exposure
Total Trades
Net Profit %
Displayed in the signature:
𝓑𝓪𝓬𝓴𝓽𝓮𝓼𝓽 𝓜𝓮𝓽𝓻𝓲𝓬𝓼
All metrics update live directly from the indicator logic.
How to Use
✅ Trend regime filter for swing systems
✅ Volatility breakout confirmation layer
✅ Portfolio regime gating (RSPS / UniStrat frameworks)
✅ Best suited for 4H–1D markets
Trade only in alignment with the active regime:
Bull → long-biased environment
Bear → defensive / short environment
Screenshot Placement
📸 Example chart / screenshot:
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.
Key Candle Range [NextPercent]Key Candle Range
This indicator draws persistent horizontal levels from a user-selected candle on any chosen timeframe. It is designed to mark a key reference range and project it forward, allowing traders to monitor reactions to that candle’s high and low.
Features:
• Select any specific candle by date and time
• Works on a custom timeframe independent of the chart
• Automatically projects the selected candle’s high and low into the future
• Fully customizable line color, width, and style
• Clean visual reference for breakout, rejection, or range trading
How it works:
The script finds the candle that matches the chosen timestamp on the selected timeframe. Once identified, it draws two horizontal lines at that candle’s high and low and extends them to the right. These levels remain visible as long-term structural references.
Use cases:
• Marking important session candles (open range, news candle, etc.)
• Tracking breakout levels
• Identifying support and resistance zones
• Anchoring trade bias to a key event candle
Tip:
Use higher timeframes to mark major structural levels, or intraday timeframes to track session-based ranges.
Institutional Footprint ZonesThis script visualizes price-based footprint zones derived from repeated reactions, volume absorption behavior, and market structure alignment.
Its purpose is to help traders contextualize price movement , not to generate buy/sell signals.
Core concepts used
1. Demand–Supply Zones
Zones are identified from areas where price shows repeated reaction and imbalance resolution.
Zones are automatically invalidated once price decisively breaks beyond their defining structure.
2. Absorption Footprint Detection
The script highlights areas where price stalls despite participation, suggesting potential absorption rather than continuation.
This is based on candle structure and relative participation behavior, not order book data.
3. Market Structure Mapping
Trend context is derived from swing progression (higher highs / higher lows or lower highs / lower lows).
Structure is used only as a context filter , not as a timing signal.
4. Higher-Timeframe Fibonacci Confluence
Key Fibonacci levels from a selectable higher timeframe are projected onto the active chart to help identify areas of confluence with structure and zones.
Institutional Footprint ZonesThis script visualizes price-based footprint zones derived from repeated reactions, volume absorption behavior, and market structure alignment.
Its purpose is to help traders contextualize price movement , not to generate buy/sell signals.
Core concepts used
1. Demand–Supply Zones
Zones are identified from areas where price shows repeated reaction and imbalance resolution.
Zones are automatically invalidated once price decisively breaks beyond their defining structure.
2. Absorption Footprint Detection
The script highlights areas where price stalls despite participation, suggesting potential absorption rather than continuation.
This is based on candle structure and relative participation behavior, not order book data.
3. Market Structure Mapping
Trend context is derived from swing progression (higher highs / higher lows or lower highs / lower lows).
Structure is used only as a context filter , not as a timing signal.
4. Higher-Timeframe Fibonacci Confluence
Key Fibonacci levels from a selectable higher timeframe are projected onto the active chart to help identify areas of confluence with structure and zones.
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.
Key Levels h/l Key Levels — HTF High/Low, Opens, EQ & Monday Range
Key Levels is a streamlined multi‑timeframe market‑structure tool that automatically plots the most important HTF levels, session highs/lows, opens, EQ midpoints, and the previous 2‑day range. Designed for intraday and swing traders who rely on clean, reliable institutional reference points.
Features
Current & previous Daily / Weekly / Monthly / Quarterly / Yearly High/Low
Current & previous opens with full styling controls
EQ (midpoint) levels for all timeframes
Previous 2‑Day High/Low for breakout and liquidity setups
Daily separators + day‑of‑week labels
Monday Model with lines, labels, and optional background fill
Why Traders Use It
Clear HTF structure
Session‑based context
Clean, customisable visuals
No clutter, no repainting
Perfect for ICT‑style traders, intraday scalpers, and anyone who wants a precise, organised market‑structure map.
Easy Gold Buy/SellVetriFX Hub - XAUUSD is an advanced momentum-based trend following indicator specifically optimized for gold. It utilizes a multi-layered confirmation system to identify high-probability entries.
Key Features:
Dynamic Trend Engine: Automatically switches bias based on Federal Interest Rate differentials or manual user selection.
Momentum Confirmation: Uses "N-Candle" streak logic combined with body-size momentum filters to ensure strong trade participation.
Active Trade Management: Features real-time, self-cleaning Take Profit (TP) and Stop Loss (SL) visual levels that appear only when a trade is active.
On-Chart Dashboards: Includes a performance tracker (Win Rate/Total Trades) and a global market session visualizer (Sydney, Tokyo, London, New York).
Multi-Style Support: Compatible with both standard OHLC and Heikin Ashi candle types.
Ghost Smart Nexus Ghost Smart Nexus is not just another indicator; it's a high-frequency algorithmic system designed to bridge the gap between retail traders and institutional market makers. By integrating Real-time Volume Analysis, Bookmap-style Liquidity Tracking, and Momentum Candlestick Logic, it filters out market noise to provide high-probability Buy/Sell Algo signals.
Key Features:
Precision Buy/Sell Algos: Dynamic entries based on institutional flow.
Multi-Timeframe Trend Detection: Seamless performance from Scalping (1m) to Swing Trading (D1).
Nexus Bookmap Integration: Visualizes hidden liquidity zones directly on your chart.
Volume-Momentum Engine: Validates every signal with real market depth to avoid "False Breakouts."
Ghost Candle Logic: Analyzes the internal momentum of each candlestick to predict the next explosive move.
AG_fvg&zz_scrMultitimeframe fair value gap(fvg)+zigzag screener.Helps traders to choose trade directions both with fvg values and zigzag predictions.
1)Indicates Bullish&Bearish fvgs,both on grafiphc and table current fvg values(top,middle,,ages,% value to price of fvg)Shows % percent of mitigation
2)Shows before closes possible fvg values of higher timeframes if not already seen on screener
3)Hybrid zigzag calculation,automatically detects trends&horizontial flots and chooses zigzag calculation,predicts next zigzag level
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
Blagirev Fractal Wave Detector - v3.0
It's concept work basing on empirical data which I've discovered through charts and some fundamentals from Ilya Prigozin and Mandesbrot theory concerning inlinar world, fractals and chaos theory.
I'm elaborating and investigating the fractals and its relation with market moving. For any comment and feedback are welcome
Indicator shows upcomming waves which can disrupt and create new structure for the price.
Indicator works on m5 for Red Waves and for H1 for Green Waves.
Triangle indicated upcomming waves impluse. More and bigger triangle shows power and speed of impluse of the wave. 3 Triangle means that fractal wave has started and reached several levels of the prices.
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
Buy and sell alerts using Ema's***What this indicator does:***
1) It calculates two EMAs and an RSI
emaS = short EMA (default 9) → reacts faster to price
emaL = long EMA (default 21) → reacts slower, defines trend bias
rsi = RSI (default 14) → momentum confirmation
2) It defines a “trend state” (bull/bear) with optional RSI confirmation
Bull trend when:
9 EMA is above 21 EMA AND
RSI is ≥ 55 (only if useRSI = true)
Bear trend when:
9 EMA is below 21 EMA AND
RSI is ≤ 45 (only if useRSI = true)
This is why you see the green/red background tint—it’s marking the current trend state.
3) It generates Buy/Sell signals on EMA crossovers (plus optional RSI filter)
Buy signal happens only when:
9 EMA crosses above 21 EMA, and
RSI is ≥ 55 (if enabled)
Sell signal happens only when:
9 EMA crosses below 21 EMA, and
RSI is ≤ 45 (if enabled)
**Best timeframe to use (to reduce false signals)**
Because this is a crossover system, it will always whipsaw in chop—lower timeframes whip more.
✅ Best overall: 15-minute
Best balance of signal quality and frequency
EMA crosses mean more when candles are “real” and not micro-noise
RSI confirmation works better
Also very good: 5-minute (if you trade intraday a lot)
More signals than 15m, still usable
Expect some chop during lunchtime / ranges
Cleanest but fewer trades: 1-hour
Very low noise, great for swing/intraday trend holds
Fewer entries, but highest reliability
Avoid (unless you add filters): 1-minute / 3-minute
EMA crosses happen constantly in chop
RSI thresholds (55/45) get hit too easily and still whipsaw
My default recommendation:
Day trading: 15m
Faster scalps: 5m (with a filter)
Swing/position: 1h
*** Some Indicators that pair well with this (and why)***
1) ADX (Trend Strength Filter) — top pairing
Use ADX to avoid taking signals in chop.
Only take buys/sells when ADX > 18–25
If ADX is low, ignore EMA crosses (they’ll whipsaw)
2) VWAP (Intraday Bias Filter) — best for stocks/indices intraday
Prefer BUY only if price is above VWAP
Prefer SELL only if price is below VWAP
This cuts a ton of false signals on 5m/15m.
3) ATR (Stop/Target + Volatility Filter)
Not for entries—use it for:
Stop placement (e.g., 1–1.5× ATR)
Profit targets or trailing stops
Also helps you avoid tiny-chop sessions where ATR is very low.
4) Higher Timeframe Trend Filter (simple but powerful)
Example:
Trade 15m signals only in the direction of the 1h EMA trend
This is one of the easiest ways to reduce false trades.
5) Support/Resistance / Pivot Points
EMA cross signals work best when they break/hold key levels.
Use daily pivots, prior day high/low, OR key S/R zones
Take signals that align with a break + retest
The EMA’s alert with Buy/Sell Levels (v2) is a simple trend-following indicator designed to help traders identify directional bias and high-probability buy and sell opportunities using moving averages and momentum confirmation.
The script combines:
A fast and slow Exponential Moving Average (EMA) crossover for trend direction
An optional RSI confirmation filter to reduce false signals
Visual trend highlighting and clear on-chart buy/sell labels
Built-in alert conditions for automation and notifications
How It Works
Bullish Trend
Short EMA is above the Long EMA
RSI is above the user-defined buy threshold (default: 55)
Bearish Trend
Short EMA is below the Long EMA
RSI is below the user-defined sell threshold (default: 45)
Buy Signal
Short EMA crosses above Long EMA
RSI confirms bullish momentum (if enabled)
Sell Signal
Short EMA crosses below Long EMA
RSI confirms bearish momentum (if enabled)
The background color visually reflects the current trend state:
Green = Bullish
Red = Bearish
Recommended Timeframes
15-minute – Best balance of reliability and signal quality
5-minute – Faster signals (recommended with additional filters like VWAP or ADX)
1-hour – Higher-confidence swing and trend trades
Lower timeframes may produce more false signals due to market noise.
Best Use Cases
Trend continuation trades
Momentum breakouts
Intraday and swing trading
Important Notice: This indicator is intended for educational and informational purposes only.
It is not financial or investment advice. Market conditions can change rapidly, and no indicator can guarantee profitable results. Always use proper risk management and confirm signals with additional analysis before making any trading or investment decisions. You are solely responsible for any trades you place using this indicator.
