Ultimate ATR-Adaptive Dynamic S&R Zones ProOVERVIEW
This indicator plots adaptive, ATR-based support and resistance zones using pivot highs/lows for precise peak/valley detection, dynamic padding scaled by ATR, and EMA smoothing for responsive, trend-following behavior. It creates visual zones (filled areas) with intermediate dashed-like levels, helping traders identify high-probability bounce/rejection areas, breakouts, and trend continuations — especially useful in volatile markets like crypto (e.g., BTC/USD) or forex.
The zones are asymmetric (stronger resistance padding vs. support) to better reflect real-market psychology, where upside exhaustion often occurs faster than downside support failure. EMA smoothing makes it more adaptive than traditional SMA-based channels.
KEY FEATURES
- Pivot-based detection of significant highs/lows (using ta.pivothigh/low) for accurate base levels
- ATR-adaptive zone width (multipliers for resistance/support separately)
- EMA smoothing on bases and final boundaries for reduced lag and cleaner visuals
- Filled support (green) and resistance (red) zones with customizable transparency
- Optional intermediate levels ( 25%, 50%, 75% within each zone) shown as dotted/circle style lines
- Built-in alerts for:
- Resistance breakout (crossover upper resistance)
- Support breakdown (crossunder lower support)
- Resistance rejection (rejection at lower resistance boundary)
- Support bounce (bounce at upper support boundary)
HOW IT WORKS
1. Detects pivot highs/lows over user-defined lookback (symmetric left/right bars).
2. Holds the last confirmed pivot value as base (step function for persistence).
3. Smooths bases with EMA for trend responsiveness.
4. Adds ATR-scaled padding: wider on resistance (multiplier_upper), slightly narrower/asymmetric on support.
5. Applies final EMA smoothing to zone edges for smooth, non-repainting behavior.
6. Draws upper/lower boundaries + fills + optional mids.
HOW TO USE
- ** Bounce/Reversal trades **: Look for price rejecting at zone edges (e.g., wick rejection + alert). Green support zones often act as buying areas in uptrends; red resistance as selling areas in downtrends.
- ** Breakout trades **: Confirmed crossover/crossunder with volume/price close beyond zone → potential trend continuation.
- Combine with volume, trend filters (e.g., EMA 200), or higher timeframe context.
- Best on 5m–4h timeframes for intraday/swing; adjust pivot_length longer for higher TFs.
SETTINGS EXPLANATION
- Pivot Lookback Length: Bars left/right for pivot detection (default 10 — increase for fewer but stronger levels).
- ATR Length: Period for volatility measure (default 14).
- Resistance/Support Multipliers: Control zone width (higher = wider zones, more conservative).
- Smoothing Length: EMA period — lower = more responsive, higher = smoother.
- Show Mid-Zone Levels: Toggle intermediate lines for finer precision.
- Zone Transparency & Colors: Customize visuals.
ALERTS
Set alerts directly from the conditions — messages are trader-friendly (e.g., "Price broke above resistance zone! Potential uptrend.").
This is an open-source evolution of common dynamic channel ideas, refined with community-inspired asymmetry, pivot persistence, and EMA for better real-time performance. Test on your favorite symbols!
Placement of your chart images
When publishing, TradingView automatically takes a screenshot of your current chart as the main image. For extra visuals, you can add up to 3 additional images in the description (or as separate chart snapshots).
To reference them in the text (so traders understand what they represent):
Volatile session on BTC/USD 5m: Highlights multiple rejections at intermediate levels (dotted lines) inside zones, useful for scalping entries
Example on BTC/USD 15m: Shows clear bounce from lower green support zone during downtrend pullback, followed by rejection at red resistance.
BTC/USD 1h timeframe: Demonstrates breakout above upper red resistance with strong volume, leading to continuation.
Indicateurs et stratégies
ZigZag with Day Count + Month Shading (Selectable) A clean ZigZag indicator that shows how long each trend lasts.
Each completed ZigZag leg is labeled with:
The number of days the trend lasted
The start and end dates (for example: 10th jan → 25th jan)
You can also:
Shade only the months you care about (each month can be turned on or off)
Add optional vertical lines at the start and end of each trend
Customize label size, colours, and transparency
This indicator is useful for understanding trend duration, timing, and seasonal behaviour at a glance.
Volume Imbalance [Tradeisto]Volume Imbalance
Shows different Vibs
ETH Vibs
RTH Vibs
DM Vibs
Inverted Vibs
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history.
1. The Kernel Physics (Bandwidth Modulation)
In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA.
A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends.
It try solving this by making h a function of the Asset's volatility ratio:
heff=h×max(0.5,min(SMA(ATR20,100)ATR20,2.0))
If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal.
vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0
vol_mod = math.max(0.5, math.min(vol_ratio, 2.0))
h_eff = h_val * vol_mod
2. The Gaussian Loop (Endpoint Estimation)
Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate.
We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi, we calculate a weight wi based on how far away it is in time (distance).
The weight is derived from the Gaussian Kernel function:
wi=exp(−2heff2i2)
Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0.
for i = 0 to lookback by 1
float dist = float(i)
float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2)))
num := num + w * src
den := den + w
3. Statistical Deviation (MAE vs. StDev)
Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars.
This one use Mean Absolute Error (MAE) instead.
MAE=N1∑∣Price−y^∣
MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash.
Pine Script
float error = math.abs(src - y_hat)
float mae = ta.sma(error, lookback)
We project two sets of bands:
Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk.
Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE).
Input & Visual Summary
Kernel Physics:
h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother.
use_vol: Keep this TRUE. It prevents the bands from being too tight during news events.
Envelope Statistics:
mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
ICT Precision Gaps & Sessions - IbrafxThis Indicator marks everything in 1 without the need to have several Indicators :
-Operational sessions with time configuration and by time location.
-NDOG
-NWOG
-New York Midnight
All of these allow us to change the size of their label and color. As with its delimiting lines, it allows us to change its shape and color and opacity.
SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro
Master the Flow with Institutional Precision.
It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup.
This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money.
🧠 The Philosophy
Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level.
🛠️ Key Features & Functionality
⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range.
🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries.
⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives.
📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels.
⚙️ Customizable Modes
The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend.
The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value.
The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays.
🚀 How to Trade with STVL Pro
Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B).
Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B).
You can preset filter A to EMA 2000
You can preset filter B to HMA 5000.
If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict.
⚠️ Disclaimer
Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
Money Management Trade Data BoxTrade Data Box - Money Management Indicator
Overview
This indicator provides real-time position sizing and risk management calculations directly on your chart. It displays a clean data box that helps traders maintain disciplined risk management by automatically calculating the optimal number of contracts to trade based on ATR (Average True Range) volatility measurements.
What It Does
The indicator solves a critical problem that many traders face: determining the correct position size before entering a trade. Instead of manually calculating how many contracts to trade based on your risk tolerance and stop loss distance, this tool does all the math for you in real-time.
Key Features
ATR-Based Stop Loss & Target Calculation
Uses the Average True Range to set dynamic stop losses and profit targets that adapt to current market volatility
ATR multipliers allow you to customize how conservative or aggressive your stops and targets are (reasonable reward-to-risk ratio).
Automatic Position Sizing
Calculates exactly how many contracts you should trade to risk a specific dollar amount
Takes into account your defined risk per trade, the instrument's tick value, and the calculated stop loss distance
Updates continuously as market conditions change
Visual Data Box
Displays four critical pieces of information:
Target (ticks): How far your profit target is from entry
Stop (ticks): How far your stop loss should be placed
Risk Amount: Your fixed dollar risk per trade
Contracts: The calculated number of contracts to trade
Customization Options
Adjustable table size for different screen sizes
Six position options to place the box wherever you prefer on your chart
Optional "real close" dots to verify you're seeing actual closing prices if you are using Heiken Ashi Candles.
How Traders Use This
Set Your Risk Parameters: Input your maximum dollar risk per trade (e.g., $200) and the tick value for your instrument (e.g., $0.50 for Micro NQ (MNQ) futures)... verify your tick value before trading to ensure your risk management is correct.
Adjust ATR Settings: Customize the ATR length and multipliers based on your trading style and the instrument's characteristics.
Read the Box Before Trading: Before entering any trade, check the data box to know:
Where to place your stop loss
Where to set your profit target
How many contracts to trade to maintain consistent risk
Execute with Confidence: Enter your trade knowing you're risking exactly the amount you're comfortable with, regardless of how volatile the market is
Why This Matters
Professional traders know that position sizing is more important than entry timing. This indicator ensures you're never over-leveraged during volatile periods or under-leveraged during quiet markets. By basing calculations on ATR, your stops and targets automatically adjust to current market conditions, helping you maintain consistent risk across all trades.
VIP ALERTS - Risk Management SuiteVIP ALERTS - Risk Management Suite
1) Volume Profile
2) Key Levels
3) Trend + MA Suite
4) Buy/Sell Alert
5) Scalping Alert
Teril ema 20 second candle logicHA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
HA EMA20 Close Cross and second Candle OneWick Filter
gary Short CallSpread with Trend Filter// ==================================================================================
// GaryQuant — Protected publication info
// Mode: Protected (script source hidden)
// Author: GaryQuant
// Notes: Comments, title/shorttitle and description-related metadata adjusted for
// TradingView public script rules. Script logic and behavior are preserved
// exactly as in the original submission. No functional changes made.
// ==================================================================================
// Description:
// "gary Short CallSpread with Trend Filter" — protected release by GaryQuant.
// This indicator identifies short-entry related signals (S, S2, S3) and close signals (P)
// using EMAs, RSI (+ RSI MA), MACD histogram, SAR, SMA120 distance gate and a daily ATR-based
// spread size. A configurable multi-timeframe trend filter (default 15m) restricts or allows
// sell signals per defined rules. The script draws persistent spread boxes and labels on
// confirmed bars, provides alertconditions for confirmed signals, and exposes inputs for
// tuning. Published as Protected: source hidden, description provides sufficient explanation
// for moderation and user understanding without disclosing proprietary internals.
// ==================================================================================
CTR RSI Trigger After MA CrossI use this in connection with my other indicator. Helps confirm my entries. Reach out and let me know if you want to learn how I use this for Bitcoin trading.
CTR Dual Custom MAs + PullbacksUsing this is helping me get in on the pullbacks by watching my higher frame charts and exciting on the lower timeframes. Those interested in learning my trading strategy using this indicator reach out and message back and I will connect with you through my Discord channel. It's free so no worries there.
Dark Pool entry Sniper v1 - By connoropriceDark Pool Entry Sniper v1 is a chart‑analysis tool that highlights moments where price shows unusual activity, including volume spikes that may suggest hidden or institutional‑style participation. It uses only public price and volume data to estimate these conditions.
The script also applies basic Smart Money Concepts ideas—such as structure shifts, momentum changes, and liquidity areas—to help identify when the market may be transitioning between phases. Based on these conditions, the indicator provides optional buy and sell signals to support chart study and pattern recognition.
These signals are not predictions or financial advice. They are visual tools meant to help users observe how price behaves during periods of stronger movement or potential accumulation/distribution.
Black Candel StrategyWhen the Black Candle is also an inside bar, it highlights even stronger price contraction and marks a high-probability breakout zone.
📌 Best Used For
Intraday & Swing Trading
Stocks, Indices, and Futures
All timeframes (works best on 5-min, 15-min, 1-hour)
Super EMA Trio (20 50 200)Triple EMA 20/50/200. This is self-explanatory. TradingView wants me to add more text to this because it thinks people can't figure out how to use this script. I don't know why. It seems pretty dumb of them to require more text for nothing.
Multi-Timeframe Classic SNR Pro (Close-Based)This indicator identifies key Support & Resistance (SNR) zones
using a proprietary approach based on the Malaysian Classic SNR methodology,
enhanced with multi-timeframe confirmation.
Unlike typical SNR scripts, this tool calculates levels based on candle closes
and cross-verifies them across multiple timeframes to highlight the strongest zones.
🔹 Key Features:
• Support & Resistance levels based on candle closes
• Multi-timeframe confirmation: current timeframe + 2 higher timeframes
• Strength of levels determined by confirmation from higher timeframes
• Levels labeled with their source timeframe (e.g., 240 = H4, 60 = H1)
• Clean chart visualization – no unnecessary indicators included
🔹 How to Use:
1. Apply to your preferred chart symbol and timeframe.
2. Observe the SNR lines:
- Stronger levels are more reliable for potential entries/exits.
- Use higher timeframe confirmation for better risk management.
3. Combine with your trading strategy and risk management rules.
⚠️ Disclaimer:
This indicator is for educational and analytical purposes only.
It does not provide financial advice or guaranteed profits.
Always apply proper risk management.
ronyImran Rony is an advanced based binary trading indicator designed to deliver high-accuracy CALL & PUT signals on short timeframes.
It uses RSI volatility with TMA deviation channels to identify overbought and oversold market conditions, while the optional EMA Trend Force filter helps avoid counter-trend trades and improves overall signal quality.
All signals are non-repainting and confirmed after candle close.
The indicator also features a real-time performance dashboard displaying Win Rate, total Wins & Losses, current Trend direction, and active signal status, allowing traders to monitor performance directly on the chart.
Best suited for Binary Options trading on 1M–5M timeframes, including OTC and Forex pairs.
⚠️ This indicator is for technical analysis only. Always use proper risk management.
This Code Made by Imran Rony
Telegram : @Imran_755
gary Long Vertical Spread with Trend Filter// Description (begin with English; allowed to include additional languages after):
// English:
// "gary Long Vertical Spread with Trend Filter" — protected release by GaryQuant.
// This indicator generates long-entry related signals (B3, B2) and exit/other signals (S, J)
// based on RSI, simple moving averages and a daily ATR-derived optimal price. A trend filter
// (configurable multi-timeframe) optionally suppresses certain long-entry signals in bearish
// conditions. The script supports a "B filter" to limit B signals frequency, draws persistent
// boxes/labels on confirmed bars, and provides alertconditions for filtered confirmed signals.
//
// Key defaults and usage:
// - Pine version: v5 (script published as Protected).
// - Trend filter default timeframe: 15 minutes (configurable).
// - Daily ATR length default: 14 (used to compute optimal price).
// - Recommended use: short timeframes where 1-minute signals are evaluated, trend filter TF
// may be set to 15m/30m/1h/etc. Adjust inputs to match your instrument and timeframe.
// - Inputs are exposed via the indicator settings (periods, multipliers, B filter minutes, etc.).
// - This publication is Protected; source code is not publicly exposed. The description provides
// sufficient explanation for moderation and user understanding without disclosing proprietary logic.
Volatility Indicator by Koko Trading College v.1.0.0Volatility Indicator by Koko Trading College measures a VIX-like volatility proxy for any symbol. It shows the current volatility and a regime label (LOW / NORMAL / HIGH / EXTREME) based on symbol-specific thresholds computed from the historical mean and standard deviation.
Low Volume EngulfingThis Pine Script (version 6) defines a trading indicator called "Low Volume Engulfing" (LVE) that runs on the price chart (overlay = true). It detects bullish and bearish engulfing patterns with a volume filter, where the current candle’s volume must be lower than the previous candle by a user-defined threshold. Key features include:
Volume-based engulfing detection with a configurable threshold.
Engulfing tolerance to allow slight misalignment in high/low ranges.
Optional P&L visualization: draws entry, stop loss, take profit lines, and colored boxes over a defined length.
Customizable visuals: signal colors, risk/reward ratio, and visualization length.
Alerts for bullish and bearish LVE signals.
NQ Implied Range GovernorThis Pine Script v6 indicator, “NQ Implied Range (VIX ÷ √N) Governor”, builds a real-time implied range framework for Nasdaq futures by importing a volatility index (default CBOE:VXN) on a user-selected timeframe and smoothing it with an EMA. It converts the annualized vol reading into a daily 1σ percentage move via oneSigmaPct = (VIX ÷ √252)/100, then maps that into a point-based implied move from a session “anchor” price. The anchor is locked at RTH session start (0930–1600 ET by default) based on your chosen mode (RTH Open, prior bar close, or daily open). A band mode selector controls how sigma is interpreted: an “Intraday Range” mode uses √(2/π) (~0.798) as a proxy for expected max excursion, while close-to-close modes use ±1σ or ±2σ envelopes; a separate calibration multiplier lets you widen/tighten the bands beyond theory.
Once the implied move is computed, the script plots the upper/lower 1.0 bands, the anchor midline, and optional fills above/below the anchor. It then derives symmetric Fibonacci retracement levels between the anchor and each band (.236, .382, .500, .618, .786) and optional extensions (1.272, 1.618), with right-edge price labels for quick reading. In parallel, it tracks realized RTH range (session high–low) and compares it to the implied total range to produce a “range spent” ratio, dynamically color-coded from green → yellow → orange → red as the session consumes volatility budget. That ratio drives a session-end summary label (realized vs implied, bands, % spent), a configurable dashboard table showing model inputs/outputs (smoothed vol, raw σ%, anchor, ± bands, total range, realized, remaining, distance to bands), and a set of alert conditions for key events: crossing spent thresholds (70/100/120%), touching outer bands, touching key fib levels, extension hits, and session start/end.
Pivot Points Multi Period AnalysisThis indicator calculates and displays pivot point levels using multiple standard methodologies, including Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla.
It supports automatic and custom timeframes and is designed to assist in price structure and range analysis






















