Daily Range Zones: PDH/PDL with SL/TPThis indicator automatically plots the previous day's High and Low levels and projects dynamic Stop Loss (SL) and Take Profit (TP) zones based on the daily range percentage.
It is designed for traders focusing on daily range breakouts or mean reversion strategies around the Previous Day High (PDH) and Previous Day Low (PDL).
Key Features:
Level 0 & 1: Visualizes the exact High and Low of the reference timeframe (Daily).
Inner Zone (Orange): Calculated inside the range. Acts as a buffer for Stop Loss placement or entry zones for mean reversion.
Outer Zone (Purple): Calculated outside the range (extension). Acts as a primary Take Profit target for breakout trades.
Settings:
Fully customizable percentages for inner and outer zones.
Option to toggle between current day or previous day data.
Works on any timeframe (intraday charts recommended).
트렌드 어낼리시스
FTPM - Institutional Trend Pressure Suite @darshaksscThis indicator provides an informational view of market trend pressure using fractal-based momentum events, smoothed pressure calculations, higher timeframe confirmation, and divergence analysis. It does not produce buy or sell signals. Instead, it presents market context to help traders interpret trend conditions in a structured and data-driven way.
The indicator includes the following components:
1). Non-repainting Trend Pressure Engine
The pressure line is derived from confirmed fractal events, body-to-range ratios, displacement strength, and a controlled decay factor. The value is normalized to a 0 to 100 scale. A rising pressure value suggests increasing trend strength, while a declining value indicates weakening strength. This is informational only.
2). Pressure Shifts
The tool highlights transitions where pressure crosses above or below key thresholds. These labels do not represent entries or exits, but simply indicate contextual changes in momentum.
3). Higher Timeframe Pressure Confirmation
Users can compare current timeframe pressure to a selected higher timeframe. When both pressures align in similar regions, it may indicate agreement in broader market structure. This feature is informational only and does not generate trading signals.
4). Divergence Detection
Identifies confirmed bullish or bearish divergences between price pivots and pressure pivots. Divergences are simply analytical tools and should not be interpreted as actionable trading signals.
5). Institutional Dashboard
A multi-line dashboard summarizes current pressure, regime classification, higher timeframe regime, pressure direction, divergence status, and alignment conditions. The dashboard is informational only. No part of the dashboard should be interpreted as a trade instruction.
6). Dashboard Size Selector
Users may switch between Full, Medium, or Thin dashboard layouts to match their screen preferences. This affects only display, not indicator logic.
Important Notes
This indicator does not forecast future price movement.
It does not generate buy, sell, long, or short signals.
It does not guarantee profitable outcomes.
It is intended purely for visual analysis and market context.
All information is derived from confirmed historical data.
No part of this script is designed to automate trading decisions.
This tool is suitable for traders who want a clear, non-repainting visualization of pressure conditions and structural behavior without violating TradingView House Rules.
======================================================================
HOW TO USE
The indicator helps traders observe whether pressure is increasing or decreasing, whether higher timeframe conditions agree with the current chart, and whether divergences are present. All outputs are informational and should be combined with the user's preferred strategy or manual analysis. The indicator is not intended to signal trades or provide recommendations.
======================================================================
DISCLAIMERS
This indicator is for educational and informational purposes only.
It does not constitute financial advice.
It does not provide buy, sell, long, or short signals.
It does not predict future price movement.
Past performance does not guarantee future results.
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Shezab AlgoLabs EMA Trend UtilityOverview
This tool is a clean and practical EMA trend utility built to help traders quickly understand market direction, trend regime, and momentum shifts. It plots a fast EMA and slow EMA using a branded color theme and highlights transitions between bullish and bearish conditions. The script also includes optional visual crossover markers to make regime changes easier to spot.
How it works
The relationship between the fast and slow EMA is used to classify the trend environment:
When the fast EMA is above the slow EMA, the market is considered in a bullish phase.
When the fast EMA is below the slow EMA, the market is considered in a bearish phase.
The script also provides optional:
Colored bars reflecting trend direction
Crossover labels to highlight momentum shifts
Background cloud to visually emphasize trending or neutral conditions
Optional alerts for crossover events
These visual features help traders recognize potential trend transitions without implying a complete trading system.
How to use it
This tool is designed as a supplemental decision aid. Traders can combine it with their preferred structure analysis, volume tools, oscillators, or confirmation methods. The crossover markers and alerts highlight shifts in trend behavior but are informational rather than mechanical buy/sell signals. Users should apply their own risk-management and entry criteria.
Originality
This script goes beyond a standard EMA by combining multiple elements into a single, cohesive trend-clarification tool:
• regime coloring
• optional cloud regions
• crossover markers
• visual dynamic styling using a unified aesthetic palette
It is not a mashup of existing scripts; all components are integrated specifically to support traders who prefer a simple-yet-clear visual framework for understanding trend behavior.
Institutional VWAP Suite (Lite Compatible)The **Institutional VWAP Suite (Lite Compatible)** brings true institutional volume-weighted price analysis to every trader — even on TradingView Lite/Free accounts where standard VWAP tools are restricted.
This script recreates the most important VWAP models used by banks, funds, and high-frequency desks, including:
• **Daily VWAP** (exchange-accurate)
• **Weekly VWAP** (manually accumulated)
• **Monthly VWAP** (manually accumulated)
• **Rolling Window VWAP** (array-based, fully Lite-compatible)
All calculations avoid blocked functions like `ta.sum` or session-restricted VWAP calls. Everything is built manually from volume and price to ensure accuracy across all accounts and all markets.
### Features
• Multi-timeframe VWAPs (Daily/Weekly/Monthly)
• Manual Rolling VWAP with adjustable length
• Optional VWAP bands (Lite-safe)
• Clean visuals with color-coded levels
• Optimized arrays for fast, stable performance
• Free-tier compatible — no premium functions required
This tool is designed for traders who want institutional structure, premium-level VWAP calculations, and consistent execution regardless of plan level. Perfect for scalpers, day traders, futures traders, and anyone who uses intraday volume profiles.
### Recommended Use
• Map directional bias using Daily vs Weekly VWAP
• Use Monthly VWAP for macro trend context
• Track intraday mean reversion with Rolling VWAP
• Use VWAP bands as dynamic support/resistance zones
A simple, powerful, no-restrictions VWAP engine — built for everyone.
QUANTLABS Fisher Stream: 5-TF Consensus RibbonMarkets are noisy. A single timeframe often lies. The Fisher Stream cuts through the noise by inspecting 5 sequential timeframes (Default: 5m, 6m, 7m, 8m, 9m) simultaneously to find the "Perfect Flow."
Unlike standard indicators that repaint or lag, this tool looks for Consensus. When the fast, medium, and slow timeframes within the stream all agree, the ribbon glows, and the background flashes, indicating a high-probability "Full Flow" state.
The Ribbon: Plots 5 distinct Fisher Transforms.
Blue Lines: Faster timeframes (leading indicators).
Orange Lines: Slower timeframes (trend confirmation).
Consensus Check:
FULL FLOW (Bull): When all 5 lines are > 0. The background flashes Green.
FULL FLOW (Bear): When all 5 lines are < 0. The background flashes Red.
MIXED (Chop): When the lines disagree. The background remains dark, warning you to stay out.
Dashboard: A heads-up display showing the exact Fisher value for every timeframe in the cluster.
Scalpers: Use the default settings (5m-9m). Enter only when the dashboard says "FULL FLOW" and the candles turn solid Green/Red.
Trend Traders: Change the inputs to higher timeframes (e.g., 15m, 30m, 45m, 1H, 4H) to catch major swing moves.
(QUANTLABS) Fractal God Mode: 25-Timeframe Scanner The indicator aggregates data into three distinct metric columns:
1. STRUCT (Market Structure) This analyzes price action relative to Fractal Pivots (Highs and Lows) to determine market direction.
HH (Breakout): Price has closed above the previous Pivot High. (Bullish Structure)
LL (Breakdown): Price has closed below the previous Pivot Low. (Bearish Structure)
TRAPPED: Price is trading between the last Pivot High and Low. This indicates a ranging market where trend trades should be avoided.
2. VELOCITY (Thrust) This measures the specific strength of the current candle on that timeframe.
The Math: It calculates the ratio of the body (Close - Open) relative to the total candle range (High - Low).
The Signal: High positive numbers (Green) indicate buyers are closing near highs. High negative numbers (Red) indicate sellers are dominating the range.
3. QUALITY (Efficiency Ratio) This acts as a "Noise Filter." It determines if the trend is moving in a straight line or whipping back and forth.
The Math: It divides the Net Price Movement (Distance from 5 bars ago) by the Total Path Traveled (Sum of the ranges of the last 5 bars).
PRISTINE (Values > 0.6): The market is moving efficiently in one direction.
CHOPPY (Values < 0.4): The market is volatile and non-directional (High Noise).
1. The Matrix (Dashboard) Located in the bottom right, this table gives you an instant read on Short-Term (3m-9m), Medium-Term (10m-45m), and Long-Term (1H-Daily) trends.
2. Coherence Flow At the bottom of the table, the script sums up the structural score of all 25 timeframes.
COHERENT BULL: When the Short, Medium, and Long terms align green.
COHERENT BEAR: When the Short, Medium, and Long terms align red.
3. God Mode (Global S/R) The indicator can plot Support and Resistance levels from higher timeframes onto your current chart. For example, while trading the 5m chart, you can see the 4H and Daily pivot levels plotted automatically as dotted lines, ensuring you never trade blindly into a higher-timeframe wall.
Trend Following: Wait for the "Coherent Bull/Bear" signal at the bottom of the dashboard. This confirms that momentum is aligned from the 3m chart up to the Daily.
Scalping: Focus on the Quality column. Only take trades when the Quality is "CLEAN" or "PRISTINE." Avoid entries when the dashboard warns of "High Noise" (Choppy).
Risk Management: If the dashboard shows "TRAPPED" on the Long Term (1H+), reduce position size or wait for a breakout.
Pivot Lookback: Adjusts the sensitivity of the Fractal Structure (Default: 5).
Show Fractal DNA Matrix: Toggles the dashboard table.
Show ALL Timeframe S/R: Enables "God Mode" to see supports/resistances from all 25 timeframes (Heavy visual processing, use carefully).
TTP IFVG Signals With EMA /ICT Gold scalpingThis script uses original logic and alerting rules. in Japan
finding ICT IFVG and EMA conditions.
#IFVG, Forex, ICT, EMA, Scalping, Indicator
This indicator automatically finds IFVG (Imbalance / Fair Value Gap) zones and gives you a buy or sell signal when price comes back and breaks out through that gap.
It also draws a colored box over the gap so you can see the zone visually, and it raises alerts when a new signal appears.
High-level logic:
On every bar, the script looks back up to “IFVG_GapBars” bars.
For each offset i it checks a 3-candle pattern:
– If the low of the newer candle is above the high of the older candle: bullish FVG (price jumped up, leaving a gap).
– If the high of the newer candle is below the low of the older candle: bearish FVG (price jumped down, leaving a gap).
When a valid FVG is found:
– For a bullish FVG it looks for a later close that breaks down through that gap (sell signal).
– For a bearish FVG it looks for a later close that breaks up through that gap (buy signal).
– A moving-average trend filter must agree (downtrend for sells, uptrend for buys).
– It checks that price has not already “filled” the gap before the breakout.
If all conditions are satisfied, it:
– Sets signal_dir = 1 for a buy, or -1 for a sell.
– Draws a box from the original FVG bar to the bar just before the breakout (extended a bit to the right), between the gap high and gap low.
– Plots an ▲ label for buys or ▼ label for sells.
– Triggers the corresponding alert conditions.
Now the parameters:
PipSizeMultilier (PipSizeManual)
Multiplies the symbol’s minimum tick size (syminfo.mintick).
It is used when converting “MinFVG_Pips” into an actual price distance.
If you feel the indicator is too sensitive (too many small gaps), you can increase this multiplier to effectively require a larger price difference.
TickSize
Internal value = syminfo.mintick * PipSizeMultiplier.
This is the actual price step the script uses as a “pip” when checking minimum gap size.
FVG Search Lookback (IFVG_GapBars)
How many bars back from the current bar the script will scan for a 3-candle FVG pattern.
Larger value = it can find older FVGs, but loop cost is higher.
Min FVG Size (Pips/Points) (MinFVG_Pips)
Minimum allowed size of the gap, measured in “pips/points” using TickSize.
If the vertical distance between the gap high and gap low is smaller than this, the gap is ignored.
0.0 means “no size filter” (every FVG is allowed).
FVG Epsilon (Price Units) (FVG_EpsPoints)
Tolerance for the FVG detection.
It is subtracted/added in the condition that checks “low > old high” or “high < old low”.
0.0 means strict gap (no overlap at all). A small positive epsilon allows tiny overlaps to still count as a gap.
Show IFVG Zones (ShowZones)
If true, the script draws a box over the IFVG zone when a signal is confirmed.
If false, no boxes are drawn; you only see the ▲ / ▼ markers and alerts.
Buy Zone Color (ZoneColorBuy)
Fill color and border color for boxes created from bearish FVGs that later produce a buy signal.
Sell Zone Color (ZoneColorSell)
Fill color and border color for boxes created from bullish FVGs that later produce a sell signal.
Box Extension (Bars) (BoxExtension)
How many extra bars to extend the right side of the box beyond the breakout bar.
The internal right coordinate is “bar_index - 1 + BoxExtension”.
Increase this if you want the zone to visually extend further into the future.
MA Period (MA_Period)
Lookback length of the moving average used as a trend filter.
MA Type (MA_Kind)
Type of moving average: “SMA” or “EMA”.
If SMA is chosen, the script uses ta.sma; if EMA, it uses ta.ema.
Moving-average filter behavior:
For sell signals (from bullish FVG): MA must be sloping down (MA < MA ) and price must be below MA.
For buy signals (from bearish FVG): MA must be sloping up (MA > MA ) and price must be above MA.
If these conditions are not satisfied, the FVG is ignored even if the gap and breakout conditions are met.
Signals and alerts:
signal_dir = 1 → buy signal, ▲ label below the bar, “IFVG Buy Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = -1 → sell signal, ▼ label above the bar, “IFVG Sell Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = 0 → no new signal on this bar.
In short:
This indicator finds 3-candle IFVG gaps, filters them by size and trend, waits for a clean breakout through the gap, draws a box on the original gap zone, and gives you a clear buy or sell signal plus alerts.
Force Pulse█ OVERVIEW
Force Pulse is a fast-reacting oscillator that measures the internal strength of market sides by analyzing the aggregated dominance of bulls and bears based on candle size.
The indicator normalizes this difference into a 0–100 range, generates signals (OB/OS, midline cross, MA midline cross), and detects divergences between price and the oscillator.
It also offers advanced visualization, signal markers, and alerts, making it a versatile tool suitable for many trading styles.
█ CONCEPTS
Force Pulse was designed as a universal tool that can be applied to various trading strategies depending on its settings:
- increasing the period lengths and smoothing transforms it into a momentum/trend indicator, revealing a stable dominance of one market side.
- Lowering these parameters turns it into a peak/low detector, ideal for contrarian and mean-reversion strategies.
The oscillator analyzes the relationship between the sum of bullish and bearish candles over a selected period, based on:
- candle body size, or
- average candle body size (AVG Body).
Depending on the selected mode, OB/OS levels should be adjusted, as value dynamics differ between modes.
The output is normalized to 0–100, where:
> 50 – bullish dominance,
< 50 – bearish dominance.
The additional MA line is derived from smoothed oscillator values and serves as a signal line for midline crosses and as a trend filter.
The indicator also detects divergences (HL/LL) between price and the oscillator.
█ FEATURES
Bull & Bear Strength:
- Calculations are based on Body or AVG Body – mode selection requires adjusting OB/OS levels.
- Bullish and bearish candle values are summed separately.
- All results are normalized to the 0–100 scale.
Force Pulse Oscillator:
- The main line reflects the current dominance of either market side.
Dynamic colors:
- Green – above 50,
- Red – below 50.
Signal MA:
- SMA based on oscillator values functions as a signal line.
- Helps detect momentum shifts and generates signals via midline crosses.
- Can serve as a trend confirmation filter.
Overbought / Oversold:
- Configurable OB/OS levels, also for the MA line.
- Dynamic OB/OS line colors: when the MA line exceeds the defined threshold (e.g., MA > maOverbought or MA < maOversold), OB/OS lines change color (red/green).
- This often signals a potential reversal or correction and may act as additional confirmation for oscillator-generated signals.
Divergences:
- Detection based on swing pivots:
- Bullish: price LL, oscillator HL
- Bearish: price HH, oscillator LH
- Displayed as “Bull” / “Bear” labels.
Signals:
Supports multiple signal types:
- Overbought/Oversold Cross
- Midline Cross
- MA Midline Cross (based on the signal MA line)
- Signals appear as triangles above/below the oscillator.
Visualization:
- Gradient options for lines and levels.
- Full customization of colors, transparency, and line thickness.
Alerts available for:
- Divergences
- OB/OS crossings
- Midline crossings
- MA midline crossings
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search “Force Pulse”
Parameter Configuration
Calculation Settings:
- Calculation Period (lookback) – defines the strength calculation window.
Force Mode (Body / AVG Body):
- Body – faster response, higher sensitivity.
- AVG Body – more stable output; adjust band levels and periods to your strategy.
- EMA Smoothing (smoothLen) – reduces oscillator noise.
- MA Length – length of the signal line (SMA).
Threshold Levels:
- Set Overbought/Oversold levels for both the oscillator and the MA line.
- Adjust levels depending on Body / AVG Body mode.
Divergence Detection:
- Enable/disable divergence detection.
- PivotLength affects both delay and signal quality.
- Signal Settings: Choose one or multiple signal types.
- Style & Colors: Full control over color schemes, gradients, and transparency.
Signal Interpretation
BUY:
- Oscillator leaves oversold (OS crossover).
- Midline cross upward.
- MA crosses the midline from below.
- Bullish divergence.
SELL:
- Oscillator leaves overbought (drops below OB).
- Midline cross downward.
- MA crosses the midline from above.
- Bearish divergence.
Trend / Momentum:
-Longer periods and stronger smoothing → stable directional signals.
-MA as a trend filter: e.g., signal line above the midline (50) and MA pointing upward indicates continuation of a bullish impulse.
Contrarian / Mean Reversion:
- Short periods → rapid detection of peaks and troughs; ideal for contrarian signals and pullback entries.
█ APPLICATIONS
- Trend Trading: Using midline and MA midline crosses to determine direction.
- Reversal Trading: OB/OS levels and divergences help identify reversals.
- Scalping & Intraday: Short settings + signal line above the midline with bullish MA → shows short-term impulse and continuation.
- Swing Trading: Longer MA and higher lookback provide a stable view of market-side dominance.
- Momentum Analysis: Force Pulse highlights the strength of the wave before price movement occurs.
█ NOTES
- In strong trends, the oscillator may stay in extreme zones for a long time — this reflects dominance, not necessarily a reversal signal.
- Divergences are more reliable on higher timeframes.
- OB/OS levels should be tailored to Body/AVG Body mode and the instrument.
- Best results come from combining the indicator with other tools (S/R, market structure, volume).
Pivot Hourly x EMA RibbonHourly Fibonacci Pivot + EMA is an intraday analysis tool that combines hourly Fibonacci-based pivot levels with exponential moving averages (EMAs). It is designed to help traders visualize potential intraday support/resistance zones and short-term trend direction on any timeframe.
The indicator calculates pivot levels from hourly price data and then projects Fibonacci extensions and retracements around a central pivot. These levels can be used to see where price has previously reacted and where future reactions may occur. The EMAs provide an additional layer of context by highlighting the prevailing short-term trend and momentum.
Key features:
Hourly Fibonacci pivot levels (support and resistance zones derived from hourly ranges)
Multiple Fibonacci bands to show potential reaction areas above and below the central pivot
One or more configurable EMAs to show short-term trend direction and dynamic support/resistance
Works on all symbols and intraday timeframes supported by TradingView
Typical use:
Monitor how price behaves when approaching or rejecting Fibonacci pivot levels
Look for confluence between pivot zones and EMA direction or EMA bounces
Use the levels as potential areas of interest for trade planning, stop placement, or partial profit zones within your own trading system
Also have "C" Label it's mean Candle for example C1 is First Candle of the source timeframe, if the source timeframe set to 4 Hour it will be the first 4h candle, the C2 is the second 4h candle of the day.
This script is intended purely as a technical analysis tool and does not generate buy/sell signals or guarantee any particular outcome. It is not financial advice. Always combine it with your own analysis, risk management, and trading plan before making any trading decisions.
Research-Backed Intraday MTF MAsResearch-Backed Intraday Multi-Timeframe Moving Averages
A precision-tuned intraday trading indicator that displays four key moving averages across two critical timeframes:
📊 What It Shows:
- 1-Hour MAs: 75-period SMA & EMA (institutional flow patterns)
- 10-Minute MAs: 200-period SMA & EMA (intraday trend structure)
🎯 Designed For:
- Day traders seeking multi-timeframe confluence
- Identifying strong trending vs. choppy market conditions
- Support/resistance level identification
- Momentum and trend alignment signals
✨ Key Features:
- Optimized periods based on market structure analysis
- Fully customizable colors, transparency, and line widths
- Toggle each MA on/off independently
- Clean, non-cluttered chart display
- Efficient tuple-based data requests
💡 Trading Signals:
- Price above all 4 MAs = Strong bullish alignment
- Price below all 4 MAs = Strong bearish alignment
- Mixed signals = Range-bound conditions, reduce risk
Perfect for scalpers, day traders, and swing traders who want institutional-grade moving averages without the noise.
SuperTrend Oscillator MTF█ OVERVIEW
SuperTrend Oscillator MTF is a multi-timeframe version of the classic SuperTrend converted into an oscillator. Instead of drawing the SuperTrend line on the price chart, it displays the distance of the close from the SuperTrend line simultaneously for the current timeframe and two additional timeframes. This allows you to instantly see the trend direction and strength across three selected timeframes in a single window.
█ CONCEPT
The classic SuperTrend value is subtracted from price and normalized so that trend direction can be directly compared across different timeframes without switching charts.
- Value above zero = price below SuperTrend line → bearish trend
- Value below zero = price above SuperTrend line → bullish trend
- The further away from zero, the stronger the trend.
█ FEATURES
- Three SuperTrend Oscillator lines: current TF, TF1 and TF2
- Automatic detection of 3-timeframe agreement
- BUY and SELL labels that appear only when all three timeframes turn in the same direction at the same moment
- Circle signals on every zero-line cross of the current timeframe
- Configurable soft gradient fill (can be disabled)
- Zero line changes color (green/red/gray) depending on 3-TF agreement
- Fully customizable colors for each timeframe
- Built-in alerts for all signal types
█ HOW TO USE
Add the indicator to the chart → set two additional timeframes and adjust ATR Period and Factor to suit your trading style.
Main settings:
- ATR Period → default 10
- Factor → default 3.0 (higher = fewer signals)
- TF 1 and TF 2 → any timeframes (e.g. 1H+4H, 4H+D, D+W, etc.)
- Enable gradient → turn fill on/off
- Show BUY/SELL labels (3 TF agreement) → enable/disable the strongest signals
Interpretation:
Two types of signals:
- Green/red circles → current timeframe changes trend direction (faster signal)
- BUY/SELL labels → all three timeframes simultaneously switch to the same direction (strongest confluence)
- Additionally, the zero line turns green or red when all three trends are aligned.
█ APPLICATIONS
Perfect for:
- Trend-following with multi-timeframe confirmation
- Filtering false breakouts on lower timeframes
- Scalping & day trading (use fast circle signals)
- Swing & position trading (wait for full 3-TF agreement)
Best combined with:
- Support/resistance levels and supply/demand zones – enter long after a confirmed breakout and retest of a key level (e.g. Change of Character, Break of Structure, Order Block, 0.618–0.786 Fibonacci) only when the oscillator shows 3-TF agreement or at least a bullish circle. Hold the trade to the next significant resistance/supply zone.
- Volume and Volume Profile – confirm move strength with rising volume and high-volume nodes at the breakout level. Declining volume while moving away from zero may signal trend exhaustion.
- Classic oscillators (RSI, Stochastic, MACD) – use primarily for spotting divergences and overbought/oversold conditions. One of the safest exits is when a regular or hidden divergence appears on RSI/Stochastic in an extreme zone, even if SuperTrend Oscillator MTF still shows alignment.
█ NOTES
- Works on all markets and all timeframes
- BUY/SELL labels (3-TF agreement) are the cleanest and strongest signals
- Circle signals are faster but more prone to noise
- Higher ATR Period = fewer signals, higher quality
SuperTrend Fusion — Trend + Momentum + Volatility FilterSuperTrend Fusion — Trend + Momentum + Volatility Filter
SuperTrend Fusion — ATP is an original, multi-factor trend-filtering tool that enhances the classic SuperTrend by combining three market dimensions in one unified model:
1. Trend direction (SuperTrend)
Provides the base trend structure using ATR-based volatility bands.
2. Momentum confirmation (Average Force – adapted)
An adapted version of an open-source “Average Force” concept published on TradingView by racer8.
This component measures where closing price sits relative to recent highs/lows, smoothed to capture directional pressure.
3. Market condition filtering (Choppiness Index)
Filters out sideways, non-trending zones where SuperTrend alone typically produces false flips.
Together, these components create a cleaner, more selective system that focuses on higher-quality SuperTrend reversals, avoiding the most common whipsaws that occur during low-momentum or high-choppiness periods.
🔍 How it Works
A long signal occurs when:
- SuperTrend flips from downtrend to uptrend
- Momentum (AF) is positive (optional filter)
- The market is trending and not excessively choppy (optional filter)
A short signal triggers under the symmetrical conditions.
Filtered signals are visually marked with subtle “X” markers so traders can understand when a raw SuperTrend flip was rejected by the filters.
The indicator also includes:
Enhanced styling for better visibility
Colored bars during valid signals
Optional background highlight during choppy periods
🎯 What This Indicator Is Designed For
This tool aims to:
- Improve the quality of SuperTrend entries
- Remove many low-probability signals
- Help traders visually identify when the market has the momentum and structure required for cleaner trend continuation
It is not intended to predict markets or guarantee accuracy; rather, it provides structure and clarity for decision-making based on technical rules.
⚙️ Inputs
- ATR Length & Factor (SuperTrend)
- Average Force Period & Smoothing
- Choppiness Length & Threshold
- Option to enable/disable each filter individually
📘 Credits
This script includes an adapted version of an open-source “Average Force” function originally published on TradingView by its author, racer8.
SuperTrend and Choppiness Index components are derived from classical, public-domain formulas.
📌 Important Notes
This indicator is not a strategy and does not guarantee performance.
Signals are based on historical calculations only and do not use lookahead.
Past performance does not guarantee future results.
Always test different assets and timeframes before using in live conditions.
👍 Recommended Usage
For a clean experience:
- Use on standard candlestick charts
- Avoid non-standard chart types (Renko, Heikin Ashi, Kagi, Range)
- Combine with your own risk management and trade planning
Breakout Signal (Trend+ATR+ADX+Score)Breakout Signal – Trend + ATR + ADX + Strength Score
This indicator detects high-quality bullish breakout conditions using a multi-filter confirmation system designed to reduce false signals and highlight only strong momentum events.
A breakout signal triggers when all core conditions align:
📌 Breakout Conditions
1. Price Breakout
Breakout occurs when the current high exceeds the previous close by X%.
This avoids noisy open-based signals and focuses on genuine upward expansion.
2. Volume Spike
Current volume must be higher than the average volume × multiplier.
This ensures the breakout is supported by real trading activity.
3. Trend Filter (MA)
Price must be trading above a moving average.
This prevents counter-trend breakouts and focuses on momentum continuation.
4. ATR Rising
ATR must be rising relative to its own moving average.
A rising ATR confirms volatility expansion — a key ingredient of valid breakouts.
5. ADX Trend Strength
ADX must exceed a user-defined threshold (default: 20).
This confirms the market is in a strong trend environment, reducing false signals.
⭐ Breakout Strength Score (0–5)
Each of the 5 filters contributes 1 point:
Trend OK
Volume Spike
ATR Rising
ADX Strong
Price Breakout
A score label appears on valid breakouts:
5/5 → Very strong breakout
4/5 → Strong breakout
3/5 → Moderate breakout
0–2 → Weak / avoided signals
Easy Crypto Signal FREEAs you can see, the indicator is doing well, we'll see what happens next, I invite you to the discussion
RSI Cross Below 30 – Red Background StripShows red bars on chart in instances where RSI drops below 30
Structure Analysis + Hammer Alert# Structure Resistance + Hammer Alert
## 📊 Indicator Overview
This indicator integrates Structure Breakout Analysis with Candlestick Pattern Recognition, helping traders identify market trend reversal points and strong momentum signals. Through visual markers and background colors, you can quickly grasp the bullish/bearish market structure.
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## 🎯 Core Features
### 1️⃣ Structure Resistance System
- Auto-plot Previous High/Low: Automatically marks key support/resistance based on pivot points
- Structure Breakout Detection: Shows "BULL" when price breaks above previous high, "BEAR" when breaking below previous low
- Trend Background Color: Green background for bullish structure, red background for bearish structure
### 2️⃣ Bullish Momentum Candles (Hammer Patterns)
Detects candles with long lower shadows, indicating strong buying pressure at lows:
- 💪Strong Bull (Bullish Hammer): Green marker, bullish close with significant lower shadow
- 💪Weak Bull (Bearish Hammer): Teal marker, bearish close but strong lower shadow
### 3️⃣ Bearish Momentum Candles (Inverted Hammer/Shooting Star)
Detects candles with long upper shadows, indicating strong selling pressure at highs:
- 💪Weak Bear (Bullish Inverted Hammer): Orange marker, bullish close but significant upper shadow
- 💪Strong Bear (Shooting Star): Red marker, bearish close with significant upper shadow
### 4️⃣ Smart Marker Sizing
Markers automatically adjust size based on current trend:
- With-Trend Signals: Larger markers (e.g., hammer in bullish trend)
- Counter-Trend Signals: Smaller markers (e.g., shooting star in bullish trend)
- Neutral Trend: Medium-sized markers
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## ⚙️ Parameter Settings
### Structure Resistance Parameters
- Swing Length: Default 5, higher values = clearer structure but fewer signals
- Show Lines/Labels: Toggle on/off options
### Bullish Momentum (Hammer) Parameters
- Lower Shadow/Body Ratio: Default 2.0, lower shadow must be 2x body size
- Upper Shadow/Body Ratio Limit: Default 0.2, upper shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the top of candle
### Bearish Momentum (Inverted Hammer) Parameters
- Upper Shadow/Body Ratio: Default 2.0, upper shadow must be 2x body size
- Lower Shadow/Body Ratio Limit: Default 0.2, lower shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the bottom of candle
### Filter & Display Settings
- Minimum Body Size: Filters out doji-like candles with tiny bodies
- Pattern Type Toggles: Show/hide different pattern types individually
- Background Transparency: Adjust background color intensity (higher = more transparent)
- Label Distance: Adjust marker distance from candles
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## 📈 Usage Guidelines
### Trading Signal Interpretation
**Long Signals (Strongest to Weakest):**
1. Bullish Structure + Bullish Hammer (💪Strong Bull) → Strongest long signal
2. Bullish Structure + Bearish Hammer (💪Weak Bull) → Secondary long signal
3. Bearish Structure + Hammer → Potential reversal signal
**Short Signals (Strongest to Weakest):**
1. Bearish Structure + Shooting Star (💪Strong Bear) → Strongest short signal
2. Bearish Structure + Bullish Inverted Hammer (💪Weak Bear) → Secondary short signal
3. Bullish Structure + Shooting Star → Potential reversal signal
### Practical Tips
✅ Trend Following: Prioritize large marker signals (aligned with trend)
✅ Structure Confirmation: Wait for structure breakout before entry to avoid false breaks
✅ Multiple Timeframes: Confirm trend direction with higher timeframes
⚠️ Counter-Trend Caution: Small marker signals (counter-trend) require stricter risk management
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## 🔔 Alert Setup
This indicator provides 9 alert conditions:
- Individual Patterns: Bullish Hammer, Bearish Hammer, Bullish Inverted Hammer, Shooting Star
- Combined Signals: Bullish Momentum, Bearish Momentum, Bull/Bear Momentum
- Structure Breakouts: Bullish Structure Break, Bearish Structure Break
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## 💡 FAQ
**Q: Why do hammers sometimes appear without markers?**
A: Check "Minimum Body Size" setting - the candle body may be too small and filtered out
**Q: Too many or too few markers?**
A: Adjust "Lower Shadow/Body Ratio" or "Upper Shadow/Body Ratio" parameters - higher ratios = stricter conditions
**Q: How to see only the strongest signals?**
A: Disable "Bearish Hammer" and "Bullish Inverted Hammer", keep only "Bullish Hammer" and "Shooting Star"
**Q: Can it be used on all timeframes?**
A: Yes, but recommended for 15-minute and higher timeframes - shorter timeframes have more noise
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## 📝 Disclaimer
⚠️ This indicator is a supplementary tool and should be used with other technical analysis methods
⚠️ Past performance does not guarantee future results - always practice proper risk management
⚠️ Recommended to test on demo account before live trading
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**Version:** Pine Script v6
**Applicable Markets:** Stocks, Futures, Cryptocurrencies, and all markets
50 EMA Rejection Strategy V4 (Correct Signal Logic)//@version=6
indicator("50 EMA Rejection Strategy V4 (Correct Signal Logic)", overlay=true, max_labels_count=500)
//================ INPUTS ================//
group50 = "EMA 50 Trio"
ema50HighLen = input.int(50,"EMA50 High",group=group50)
ema50CloseLen = input.int(50,"EMA50 Close",group=group50)
ema50LowLen = input.int(50,"EMA50 Low",group=group50)
groupBase = "Additional EMAs"
ema10Len = input.int(10,"EMA10")
ema200Len = input.int(200,"EMA200")
ema600Len = input.int(600,"EMA600")
ema2400Len = input.int(2400,"EMA2400")
useTrendFilter = input.bool(false,"Use Higher Time EMA Filter")
groupRR = "Risk Reward Settings"
RR1 = input.float(1.0,"TP1 RR",step=0.5)
RR2 = input.float(2.0,"TP2 RR",step=0.5)
//================ CALCULATIONS ================//
RSI Cascade DivergencesRSI Cascade Divergences is a tool for detecting divergences between price and RSI with an extended cascade-based strength accumulation logic. A “cascade” represents a sequence of multiple divergences linked through RSI pivot points. The indicator records RSI pivots, checks whether a divergence is present, assigns a strength value to each structure, and displays only signals that meet your minimum strength thresholds.
How Divergence Logic Works
The indicator identifies local RSI extremes (pivots) based on Pivot Length and Pivot Confirm.
For every confirmed pivot it stores:
the RSI value at the pivot,
the corresponding value of the RSI Source price,
the pivot’s bar index.
How a Divergence Is Formed
A divergence is detected when two consecutive RSI pivots of the same type show opposite dynamics relative to the price source defined in RSI Source (default: close), not relative to chart highs/lows.
Bearish divergence: the price source value at the second pivot is higher, but RSI forms a lower high.
Bullish divergence: the price source value at the second pivot is lower, but RSI forms a higher low.
The indicator does not use price highs/lows — only the selected price source at the pivot points.
Cascade Strength Calculation
Each new pivot is compared only with the previous pivot of the same type.
A cascade grows in strength if:
divergence conditions are met,
the difference in RSI values exceeds Min. RSI Distance,
the previous structure already had some strength or the previous pivot was formed in the OB/OS zone.
If the divergence occurs as RSI exits OB/OS, strength is additionally increased by +1.
Behavior in Strong Trends
Divergences may appear repeatedly and even form cascades with high strength. However, if price does not react meaningfully, this indicates strong trend pressure.
In such cases, divergences stop functioning as reversal signals:
RSI attempts to counter-move, but the dominant trend continues.
The indicator accurately reflects this — cascades may form but fail to trigger any reversal, which itself suggests a powerful, persistent trend.
Filtering and Context Reset
To avoid retaining irrelevant pivots:
when RSI is above Overbought → low pivots are cleared;
when RSI is below Oversold → high pivots are cleared.
This prevents false cascades during extreme RSI conditions.
Input Parameters
RSI Source — price source used in RSI calculations (close, hl2, ohlc4, etc.).
RSI Length — RSI calculation period.
Overbought / Oversold — RSI threshold zones.
Pivot Length — number of bars to the left required for a pivot.
Pivot Confirm — bars to the right required to confirm the pivot.
Min. RSI Distance — minimum difference between two pivot RSI values for the divergence to be considered meaningful.
Min. Strength (Bull / Bear) — minimum accumulated strength for:
confirming the signal,
displaying the strength label,
triggering alerts.
Weaker signals below these thresholds appear as dashed guide structures.
Visual
Display settings for lines, markers, and colors.
These parameters do not affect the indicator logic.
Important
Divergences — including cascades — should not be used as a standalone trading signal.
Always combine them with broader market context, trend analysis, structure, volume, and risk management tools.
India VIX Tray - DynamicIndia VIX Table
Shows INDIAVIX value as a tray in Chart with Dynamic colour change according to Low Volatility, Moderate Volatility, High Volatility.
KENW Liq Sweep 17This indicator is designed to alert on potential liquidity sweep events:
- In uptrends, it tracks Sell-Side Liquidity (SSL) by marking swing lows that occur during negative MACD histogram periods. It generates a long entry alert when price makes a lower low in SSL (i.e., the most recent SSL level is below the prior one), suggesting a sweep of sell-side liquidity before a potential bullish continuation.
- In downtrends, it tracks Buy-Side Liquidity (BSL) by marking swing highs that occur during positive MACD histogram periods. It generates a short entry alert when price makes a higher high in BSL (i.e., the most recent BSL level is above the prior one), indicating a sweep of buy-side liquidity before a potential bearish continuation.
Kalman Ema Crosses - [JTCAPITAL]Kalman EMA Crosses - is a modified way to use Kalman Filters applied on Exponential Moving Averages (EMA Crosses) for Trend-Following.
Credits for the kalman function itself goes to @BackQuant
The Kalman filter is a recursive smoothing algorithm that reduces noise from raw price or indicator data, and in this script it is applied both directly to price and on top of EMA calculations. The goal is to create cleaner, more reliable crossover signals between two EMAs that are less prone to false triggers caused by volatility or market noise.
The indicator works by calculating in the following steps:
Source Selection
The script starts by selecting the price input (default is Close, but can be adjusted). This chosen source is the foundation for all further smoothing and EMA calculations.
Kalman Filtering on Price
Depending on user settings, the selected source is passed through one of two independent Kalman filters. The filter takes into account process noise (representing expected market randomness) and measurement noise (representing uncertainty in the price data). The Kalman filter outputs a smoothed version of price that minimizes noise and preserves underlying trend structure.
EMA Calculation
Two exponential moving averages (EMA 1 and EMA 2) are then computed on the Kalman-smoothed price. The lengths of these EMAs are fully customizable (default 15 and 25).
Kalman Filtering on EMA Values
Instead of directly using raw EMA curves, the script applies a second layer of Kalman filtering to the EMA values themselves. This step significantly reduces whipsaw behavior, creating smoother crossovers that emphasize real momentum shifts rather than temporary volatility spikes.
Trend Detection via EMA Crossovers
-A bullish trend is detected when EMA 1 (fast) crosses above EMA 2 (slow).
-A bearish trend is detected when EMA 1 crosses below EMA 2.
The detected trend state is stored and used to dynamically color the plots.
Visual Representation
Both EMAs are plotted on the chart. Their colors shift to blue during bullish phases and purple during bearish phases. The area between the two EMAs is filled with a shaded region to clearly highlight trending conditions.
Buy and Sell Conditions:
-Buy Condition: When the Kalman-smoothed EMA 1 crosses above the Kalman-smoothed EMA 2, a bullish crossover is confirmed.
-Sell Condition: When EMA 1 crosses below EMA 2, a bearish crossover is confirmed.
Users may enhance the robustness of these signals by adjusting process noise, measurement noise, or EMA lengths. Lower measurement noise values make the filter react faster (but potentially noisier), while higher values make it smoother (but slower).
Features and Parameters:
-Source: Selectable price input (Close, Open, High, Low, etc.).
-EMA 1 Length: Defines the fast EMA period.
-EMA 2 Length: Defines the slow EMA period.
-Process Noise: Controls how much randomness the Kalman filter assumes in price dynamics.
-Measurement Noise: Controls how much uncertainty is assumed in raw input data.
-Kalman Usage: Option to apply Kalman filtering either before EMA calculation (on price) or after (on EMA values).
Specifications:
Kalman Filter
The Kalman filter is an optimal recursive algorithm that estimates the state of a system from noisy measurements. In trading, it is used to smooth prices or indicator values. By balancing process noise (expected volatility) with measurement noise (data uncertainty), it generates a smoothed signal that reacts adaptively to market conditions.
Exponential Moving Average (EMA)
An EMA is a weighted moving average that emphasizes recent data more heavily than older data. This makes it more responsive than a simple moving average (SMA). EMAs are widely used to identify trends and momentum shifts.
EMA Crossovers
The crossing of a fast EMA above a slow EMA suggests bullish momentum, while the opposite suggests bearish momentum. This is a cornerstone technique in trend-following systems.
Dual Kalman Filtering
Applying Kalman both to raw price and to the EMAs themselves reduces whipsaws further. It creates crossover signals that are not only smoothed but also validated across two levels of noise reduction. This significantly enhances signal reliability compared to traditional EMA crossovers.
Process Noise
Represents the filter’s assumption about how much the underlying market can randomly change between steps. Higher values make the filter adapt faster to sudden changes, while lower values make it more stable.
Measurement Noise
Represents uncertainty in price data. A higher measurement noise value means the filter trusts the model more than the observed data, leading to smoother results. A lower value makes the filter more reactive to observed price fluctuations.
Trend Coloring & Fill
The use of dynamic colors and filled regions provides immediate visual recognition of trend states, helping traders act faster and with greater clarity.
Enjoy!
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise.
It integrates three core analytical components into a single interface:
Trend Engine: A Linear Regression Curve to determine the mean trajectory.
Volume Verification: Filters signals to ensure price movement is backed by market participation.
Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis.
2. Core Components and Logic
The Trajectory Engine
The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction.
The Baseline: Represents the "fair value" or mean trajectory of the asset.
The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation.
Trend Definition:
Bullish: Price breaks above the Upper Deviation Band.
Bearish: Price breaks below the Lower Deviation Band.
Neutral/Chop: Price remains inside the cloud.
Smart Volume Filter
The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume.
High Volume: Current volume is greater than the Volume SMA.
Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity.
Volume Structure (Smart Liquidity)
The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points.
Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active).
Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached.
3. Signal Guide
Trend Reversals (Buy/Sell Labels)
These are the primary signals indicating a potential change in the macro trend.
BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend.
SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend.
Pullbacks (Small Circles)
These are continuation signals, useful for adding to positions or entering an existing trend.
Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it.
Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it.
4. Configuration and Settings
Trend Engine Settings
Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity.
Channel Multiplier: Controls the width of the cloud.
1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives.
1.5: Balanced (Default).
2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals.
Signal Logic
Show Trend Reversals: Toggles the main Buy/Sell labels.
Show Pullbacks: Toggles the re-entry circle signals.
Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement.
Volume Structure
Show Smart Liquidity: Toggles the Support/Resistance boxes.
Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures.
Max Active Zones: Limits the number of boxes on the chart to prevent clutter.
5. Timeframe Optimization Guide
To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe.
Scalping (1-Minute to 5-Minute Charts)
Recommended Length: 20 to 30
Multiplier: 1.2 to 1.5
Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes.
Day Trading (15-Minute to 1-Hour Charts)
Recommended Length: 55 (Default)
Multiplier: 1.5
Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions.
Swing Trading (4-Hour to Daily Charts)
Recommended Length: 89 to 100
Multiplier: 1.8 to 2.0
Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements.
6. Dashboard (HUD) Interpretation
The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually.
Bias: Displays the current trend direction (BULLISH or BEARISH).
Momentum:
ACCELERATING: Price is moving away from the baseline (strong trend).
WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal).
Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average.
Disclaimer
*Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
