SwingMaster - HEKATRADERSwingMaster CCI Indicator - Technical Overview
Indicator Components
The SwingMaster CCI is a dual-line momentum indicator combining:
Primary Signal Line (Red): 55-period Commodity Channel Index calculated on closing prices
Measures price deviation from its statistical mean
Unbounded oscillator tracking momentum strength
Responds to sustained price movements while filtering minor fluctuations
Trend Filter Line (Blue): 100-period Simple Moving Average applied to CCI values with 10-bar forward offset
Smooths CCI volatility for clearer trend identification
Forward shift provides visual trend projection
Acts as dynamic support/resistance for momentum
Reference Levels: 0, ±100, ±200 zones for momentum classification
Technical Calculation
CCI Formula:
CCI = (Typical Price - SMA) / (0.015 × Mean Deviation)
Where Typical Price = (High + Low + Close) / 3
The 55-period setting reduces whipsaw signals compared to standard 14-20 period CCI, making it suitable for swing trading and position trading on H1-H4 timeframes.
Entry Signals
Long Entry Conditions:
Red CCI line crosses above blue MA line → Momentum shift confirmation
Cross occurs above +100 level → Strong bullish momentum (preferred)
Cross between 0 and +100 → Moderate bullish setup
Avoid crosses below -100 → Weak recovery signal
Short Entry Conditions:
Red CCI line crosses below blue MA line → Bearish momentum confirmation
Cross occurs below -100 level → Strong bearish momentum (preferred)
Cross between 0 and -100 → Moderate bearish setup
Avoid crosses above +100 → Weak reversal signal
Exit Strategy
Primary Exit:
Reverse crossover (red crosses opposite direction through blue line)
Provides trend-following exits maximizing trend capture
Alternative Exits:
CCI reaches extreme levels (±200) then reverses → Potential exhaustion
Price reaches predetermined profit target based on ATR multiples
Hard stop-loss placement at recent swing high/low
Optimal Market Conditions
Best Performance:
Trending markets with sustained directional movement
Volatile instruments (EUR/USD etc..)
H1-H4 timeframes for swing positions
Daily timeframe for position trading
Avoid:
Low-volatility ranging conditions → generates excessive false signals
M5-M15 timeframes → 55-period too slow for scalping
Major news releases → extreme CCI spikes invalidate signals
Risk Management Framework
Position Sizing:
Risk 1-2% account equity per trade
Calculate position size based on stop-loss distance
Stop Loss Placement:
Below/above recent swing point (conservative)
1.5-2× ATR from entry (volatility-adjusted)
Typical range: 35-80 pips depending on instrument
Take Profit Targets:
Minimum 1:2 risk-reward ratio
Trail stop using blue MA line as dynamic support/resistance
Scale out at +100/-100 CCI levels, let remainder run
Advanced Applications
Divergence Trading:
Price makes new high but CCI fails to → bearish divergence
Price makes new low but CCI holds higher → bullish divergence
Divergences near ±100 levels carry higher probability
Multi-Timeframe Confirmation:
H4 CCI for trend direction filter
H1 CCI for precise entry timing
Enter only when both timeframes align
Confluence Zones:
Combine CCI crossover with key support/resistance levels
Use alongside moving average price structure (50/200 EMA)
Volume confirmation enhances signal reliability
Performance Expectations
Win Rate: Typically 45-55% (trend-following characteristic)
Profit Factor: Target 1.5+ with proper risk management
Average Trade Duration: 12-48 hours (H1-H4 timeframes)
Drawdown: Expect 15-25% during ranging periods
Key Advantages
Reduced noise through extended periods (55/100)
Clear visual signals requiring minimal interpretation
Effective in strong trending environments
Combines momentum measurement with trend filtering
Forward offset provides anticipatory trend projection
Limitations
Lagging nature generates late entries during trend initiation
Performs poorly in choppy, sideways markets
10-bar shift can create visual bias in manual backtesting
Requires strict discipline during consecutive losses
Indicateurs et stratégies
Super SMA Trio (20 50 200)Three SMAs in one (20, 50, 200). This is self-explanatory. TradingView wants me to add more text even though nobody should have any trouble understanding the script.
Impulse OTE Fibonacci & Trend Catcher V2------------IMPORTANT------------
Look at the first 3 options in the input settings. You can change these based on what your trading - crypto, NQ, Forex etc. There are tool tips with the recommended settings there as well.
------------What the trader is supposed to do------------
Wait for an UP or DOWN arrow (trend shift).
Let the indicator lock an impulse and draw the fibs.
When price pulls into OTE, it prints READY.
When confirmation happens, it prints ENTRY.
------------Why it’s useful------------
It’s meant to stop you from:
taking random fibs from random swings,
trading weak/noisy moves,
or entering too early without confirmation.
Instead it forces a simple flow:
Trend → Impulse → Pullback to OTE → Confirmed entry
Macro Clock Overlap 166/186/208) Anchored (v6)Macro Clock Overlap is a time-based market structure overlay designed to visualize cyclical pressure zones created by the interaction of three independent macro clocks:
166 weeks — Momentum / expansion cycle (anchored to a major weekly RSI peak)
186 weeks — Capitulation / contraction cycle (anchored to a weekly RSI < 30 trough)
208 weeks — Bitcoin halving cycle (protocol-defined supply shock)
Rather than attempting to predict price, this indicator highlights periods of structural instability where multiple cycles overlap — conditions that historically coincide with increased volatility, regime shifts, and non-linear market behavior.
How it works
Each cycle is projected forward and backward from a fixed anchor date.
Around each projected event, a configurable time window (± weeks) is applied.
For every bar, the script computes an Overlap Score (0–3):
0 — No active macro cycles
1 — Single cycle influence
2 — Reinforced cycle overlap (heightened instability)
3 — Rare full convergence (maximum structural stress)
The background shading reflects the current overlap score, and optional vertical lines mark projected cycle events for each clock.
What this indicator is (and isn’t)
✔ A probabilistic timing framework
✔ A way to identify volatility expansion and transition zones
✔ Useful for risk management, position sizing, and expectation setting
✘ Not a price prediction tool
✘ Not a buy/sell signal generator
✘ Not curve-fitted to price action
This tool is best used in conjunction with price structure, trend, and momentum analysis.
Customization
Anchor dates can be adjusted from the settings panel
Cycle lengths and window sizes are fully configurable
Visuals (background shading, vertical lines, table) can be toggled on/off
Designed for weekly charts, but works on any timeframe with macro intent.
Philosophy
Markets are not governed by a single clock.
They evolve through the interaction of multiple rhythms — internal momentum, stress accumulation, and external shocks.
Macro Clock Overlap makes those rhythms visible.
Opening Volume Scanner - Full AnalyticsOpening Volume Scanner - Full Analytics
A volume analysis tool designed to identify unusual opening volume patterns by comparing bar volume to average daily volume (ADV). The indicator colors candlesticks when volume exceeds specified thresholds during the first bars of the trading session.
Core Functionality:
Monitors volume as a percentage of ADV for the first N bars from session open (default: 5 bars)
Colors bars across 4 progressive threshold levels (default: 5%, 10%, 20%, 50% of ADV)
Calculates ADV using a customizable period (default: 20 days)
Optional bullish-only filter to display only green bars that meet volume criteria
Volume Metrics:
Bar % of ADV: Current bar volume expressed as percentage of average daily volume
RVOL (Relative Volume): Bar volume divided by ADV (e.g., 5.0x = 500% of ADV)
30-Min Cumulative: Sum of volume for first 30 bars expressed as % of ADV
$ Volume: Bar dollar volume in millions or billions
Display Features:
Customizable data table showing real-time metrics (position, size, colors adjustable)
Optional $ volume indicator with 9 symbol choices (triangle, arrow, circle, etc.)
Progressive color coding: yellow/orange/red for increasing volume intensity
Green color scale for RVOL and cumulative thresholds
Alert System:
RVOL alerts at configurable thresholds (default: 5x, 10x, 20x)
30-minute cumulative alerts at configurable % ADV levels (default: 100%, 150%, 200%)
All alerts can be toggled on/off independently
Customization Options:
All threshold levels and colors are adjustable
Table rows can be individually shown/hidden
Background transparency and border options
Compatible with all timeframes (designed for 1-minute charts)
Use Case:
Identifies stocks experiencing unusual opening volume activity relative to their normal trading patterns. Useful for momentum traders looking for early signs of institutional activity or catalyst-driven moves in the first minutes of the session.
Time SessionTime Session is a lightweight indicator to visually highlight up to 3 trading time windows on any chart. It’s built to help you verify sessions precisely (especially when TradingView timezones/session handling can be confusing).
Key Features
3 independent session slots (enable/disable each slot)
Global timezone mode:
EXCHANGE : uses the symbol’s exchange timezone (recommended in most cases)
CUSTOM : use your own timezone string, copy the timezone label shown on your chart (bottom-right corner) and paste it into the CUSTOM field.
Example: `UTC+1`, `UTC+2`, `UTC-5`, etc.
Background highlighting for each slot (custom color + transparency)
Start/End markers at the bottom of the chart:
S1 = Slot 1 Start , E1 = Slot 1 End
S2 = Slot 2 Start , E2 = Slot 2 End
S3 = Slot 3 Start , E3 = Slot 3 End
Data Window debug : `inSlot1`, `inSlot2`, `inSlot3`, `inAny`
How to Use
1. Add the indicator to your chart.
2. Set Timezone Mode to EXCHANGE or CUSTOM .
3. If CUSTOM , paste the chart timezone label (e.g., `UTC+1`)
4. Configure Session Slot 1/2/3 using `HHMM-HHMM` (example: `07:00-18:00`).
5. Use the highlighted background and **S/E markers** to confirm the exact hours.
Good Trading
CRT MTF - DYNAMIC ALERTS FIXEDCRT MTF - Candle Range Theory Dashboard & Execution System
This indicator is a professional monitoring panel designed to analyze price action based on Candle Range Theory (CRT) principles. It serves as a comprehensive system that tracks High-Timeframe (HTF) setups and their corresponding Low-Timeframe (LTF) confirmations across multiple assets.
Strategy and Logic (The 3-Bar Rule)
The system is built on price equilibrium and liquidity targets within specific candle cycles:
Range Definition (Bars 1 & 2): The closing of Bars 1 and 2 on the HTF is monitored. When Bar 2 sweeps the high or low of Bar 1 but closes back within its range, a potential CRT structure is formed (Range Reclaim).
The Setup: Once Bar 2 closes within the boundaries of Bar 1, the setup is established.
Execution Phase (Bar 3): With the start of Bar 3 on the HTF, we begin looking for trade opportunities.
Confirmation and Target: Traders look for Volume-Confirmed CRT signals on the LTF to enter the trade. The primary target (TP) is always the opposite side of the established range.
Key Features
Fully Customizable: You can manually select all 13 symbols and the 3 timeframes in the dashboard to suit your trading style.
Universal Application: The algorithm works efficiently across all asset classes, including Forex, Commodities (Gold, Oil), Crypto, and Indices.
Volume-Filtered LTF Confirmation: Includes a directional volume filter that measures the strength of expansion bars, helping to filter out low-volume manipulations and identify institutional momentum.
Dynamic Alert System: Receive instant notifications when an HTF setup aligns with an LTF confirmation, ensuring you never miss an execution window.
How to Use
HTF Analysis: When you see a CRT signal on the higher timeframe columns (e.g., Daily or H4), the "setup" is active for that asset.
LTF Entry: Once the lower timeframe column (e.g., H1 or M15) triggers a confirmation signal, look for entries within the 3rd bar of the HTF sequence, targeting the opposite end of the range.
Disclaimer: This tool is an analysis panel based on Candle Range Theory and does not constitute financial advice. Success depends on understanding HTF-LTF correlations and maintaining strict risk management.
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XAMD - cycles shows a table of active amd phases saves the trouble of having to look through htfs and you just see a table of them all
Real-Time Volume HUD (Near Price) With SpikesReal-time volume “HUD” displayed next to the current price action so you can monitor volume while watching candles. Shows the current bar’s live (accumulating) volume, optional previous-bar volume, and optional relative volume (xAvg) based on the average of completed bars. Includes color modes for Buy/Sell bias, spike highlighting by xAvg, and an optional neutral state that can be triggered either by a delta threshold or when price is below a user-defined level. Optional Δ (buy–sell proxy) line uses either Up/Down or Wick-weighted allocation. Fully customizable position, size, and background for clean chart viewing.
5 Min FVG ORB by LybandzThis is a 5 minute ORB strategy. Essentially all it does is give buy signals if we broke above and got a bullish FVG and gives sell signals if we break down and get a bearish FVG. Its a little sloppy but it does give correct buy/sell signals. It also plots overnight levels. Ignore the SL/TP levels, those arent made correctly yet and I am too lazy to fix it. Just place the stop loss under the FVG candle and put the take profit at either 1:1.5 or 1:2 RR. Breakeven at internal highs/lows or after a volatile large move in your favored direction.
Note - for the entries, make sure to enter after a signal is given on M1. Using M5 timeframe will give different (but similar) results. Put your stop under the M1 FVG and go breakeven at 1:1 RR. Take a partial at 1:1.5 and hold the rest to whatever you want.
Enjoy :)
Order Flow CandlesOrder Flow Candles is an advanced candle coloring indicator that visualizes the strength and direction of market pressure on each bar. Unlike traditional candlestick charts that simply show whether price closed higher or lower than it opened, this indicator reveals the intensity of buying or selling pressure through a gradient color system. The indicator employs custom formulas that combine two independent analysis methods—price action scoring and order flow analysis—to produce a pressure reading that determines each candle's directional color intensity.
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The Dual Analysis Approach
This indicator stands apart from simple candle coloring tools by using two distinct analytical layers that work together:
Price Action Analysis evaluates each candle's structure and compares it to multiple previous candles. Rather than looking at a single bar in isolation, the indicator examines how the current candle's size and values compare across several prior bars to establish context. This multi-candle approach helps distinguish between genuine momentum and single-bar noise. The analysis considers factors such as whether the candle is extending beyond previous ranges or failing to do so, whether the candle size indicates conviction or indecision, and whether the overall range suggests strength or weakness. Proprietary adjustment algorithms then modify the raw score based on candle characteristics—smaller, weaker candles receive reduced scores while larger conviction candles receive appropriate emphasis. Gap bars at market open are handled separately to prevent misleading readings from overnight price changes.
Order Flow Analysis examines lower timeframe data to determine actual buying versus selling volume within each chart bar. By analyzing price movements and their associated volume on a granular level, the indicator classifies activity as buying pressure or selling pressure. This raw data is then normalized using adaptive calculations based on rolling historical averages, allowing the indicator to respond appropriately to current market conditions rather than relying on fixed thresholds that may not suit all instruments or market environments.
The two scores are then blended together based on user preference, creating a combined pressure reading that benefits from both analytical perspectives.
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Understanding The Color System
The indicator uses a 10-tier gradient in each direction:
Bright Green - Strong buying pressure with high conviction
Medium Green - Moderate buying pressure
Dim Green - Weak buying pressure or mixed signals
Gray - Neutral—no significant directional pressure
Dim Red - Weak selling pressure or mixed signals
Medium Red - Moderate selling pressure
Bright Red - Strong selling pressure with high conviction
The key insight is that candle direction alone does not tell the full story. Strong candles with strong directional volume and movement will show bright colors to represent the strength of that candle’s direction. Weak and indecisive candles will appear darker to indicate that there was a lack of directional conviction.
The colors used can be customized by setting the bullish color, bearish color and base color. The base color will be mixed with the directional color when directional conviction is low.
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How To Use This To Trade
Trend Confirmation and Trade Management
Bright colored candles indicate strength and conviction. When you see consecutive bright candles in the same direction, this suggests sustained momentum worth riding. During these moves, consider trailing your stop loss tightly to protect profits while allowing the trend to continue. The brightness of the candles serves as a real-time gauge of how much conviction remains in the move.
Reversal Detection
Reversals typically do not occur suddenly. Watch for a darkening of colors leading up to potential reversal points. Darker, dimmer candles indicate indecision and combative pressure from both buyers and sellers. When bright candles begin transitioning toward gray or dim colors—especially at key support/resistance levels—this often precedes a change in direction. A sequence like bright → medium → dim → gray suggests momentum is fading and a reversal or consolidation may follow.
Entry Identification
Large bright candles appearing at pivot points or key levels often represent strong entry opportunities. These candles show that one side has taken decisive control with conviction. When price reaches a significant support or resistance level and produces a bright candle in the expected direction, this confluence of price level and pressure confirmation can provide higher-probability entries.
Detecting False Moves
One of the most valuable applications involves watching for color-to-direction discrepancies when using volume weighting. If you see a green candle (close above open) but the indicator colors it toward red or gray, this means the underlying volume pressure contradicts the candle's direction. This divergence suggests the move may be false and could soon reverse. The order flow component is detecting selling pressure despite the bullish candle structure—a warning sign that the apparent strength lacks genuine support.
Consolidation Recognition
Extended periods of gray or dim candles indicate low conviction and indecision. These periods often represent consolidation ranges where neither buyers nor sellers have control. Such conditions may precede significant breakouts, making them useful for identifying potential setup zones.
Validating Areas Of Interest
Watch the candle colors and you will notice that in tight ranges, the candles will be darker and rarely have very bright colors, but once price reaches the edges of a range and has multiple bright colored candles, this validates that traders are now ready to move outside of that range and place directional trades. Use the bright colored candles to reveal where traders are interested in entering positions and use that conviction to your advantage.
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Settings Guide
Lower Timeframe - Sets the granularity for volume analysis. Lower timeframes like 1T provide more detailed data but may have limited historical depth on TradingView. Adjust based on your chart timeframe and data availability.
Price Action Influence % - Controls the blend between price action scoring and volume/order flow scoring. At 0%, the indicator uses pure order flow analysis. At 100%, it uses pure price action analysis. The default 50% provides equal weighting to both methods. Consider increasing toward 100% for instruments with unreliable volume data such as forex pairs or certain CFDs. For futures contracts with excellent volume reporting, values around 50% often work well.
Candle Color Settings - Customize the buy color (default bright green), sell color (default red), and base/neutral color (default gray) to match your chart theme and personal preferences.
Fix Loading Error - Toggle this checkbox if the indicator fails to load, displays incorrectly or starts lagging. This forces TradingView to restart the indicator and typically resolves any issues.
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Instrument and Timeframe Considerations
The order flow component requires reliable volume data for optimal results. Consider these guidelines:
Futures: Generally provide excellent volume data and work well with lower Price Action Influence settings
Stocks: Good volume data during regular trading hours
Forex: Volume reliability varies by exchange; test before relying heavily on volume scoring
Crypto: Volume reliability varies by exchange; test before relying heavily on volume scoring
Index CFDs: Often have poor volume data; higher Price Action Influence recommended
Higher timeframes (daily, weekly) typically produce more reliable color readings with less noise. Lower timeframes can be useful for timing entries within the context of higher timeframe analysis.
The indicator requires a brief initialization period—approximately 60 bars for full accuracy as the adaptive calculations populate their historical reference data.
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Practical Guidance
Order Flow Candles works effectively when combined with other analysis methods. Consider using it alongside support/resistance levels, where bright candles at key zones can confirm breakouts or bounces. Volume profile analysis pairs naturally with this indicator, as does traditional structure and trend analysis.
The indicator is designed as a visualization and decision-support tool. It helps quantify and display information that might otherwise require mentally processing multiple data points. However, profitable trading requires more than entry signals—risk management, position sizing, and broader market context remain essential components of any complete trading approach.
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Limitations
When using any amount of volume weighting, the candles will show as grey until it has had enough previous bars to establish baseline averages to use for calculations. When using tick data on higher than 1 minute charts, the number of chart bars you get data will be limited, so try adjusting the lower timeframe to use a higher timeframe for more data. Or you can switch to 100% price action influence to get price action only candle coloring for the entire data set
Volume analysis accuracy depends entirely on the quality of volume data available for your chosen instrument so make sure to look at charts with the most reliable volume data for best results
Lower timeframe data has limited historical depth on TradingView; older bars may have less accurate order flow readings
First bars of new trading sessions (gap bars) are scored conservatively and may appear dimmer than expected
During extremely fast market conditions, lower timeframe data may lag slightly
The indicator provides decision support but is not a complete trading system on its own, so use this indicator as a guide to make decisions, but do not rely solely on it
Volatility-Based Stop CalculatorVolatility-Based Stop Calculator
Daily volatility-based stop distance and target levels with regime awareness using VIX-derived stress features
Overview
Volatility-Based Stop Calculator is a daily risk-sizing helper that computes ATR-based stop distances and target levels using a volatility regime score built from VIX momentum, VIX acceleration, and SPY realized volatility. It is not a signal or entry tool; it provides a consistent stop distance and target ladder for the current session.
Key Features
Volatility Regime Scoring: Uses VIX momentum (5‑day change), VIX acceleration, and SPY realized volatility to create a daily severity score.
Quantile Buckets: Maps the severity score into 4 volatility buckets (LOW / NORMAL / ELEVATED / EXTREME).
Dynamic k Multiplier: Adjusts stop distance via VIX percentile, gap risk (ETFs only), realized vol ratio, and VIX9D term stress.
ATR-Based Stops: Final stop distance is ATR × k, rounded to tick size.
Targets Ladder: Plots TP1/TP2/TP3 and stop levels from a reference price (daily close or live price).
Overlap Consolidation: In Both mode, overlapping long/short levels are merged into a single line/label.
Live Lines + Labels: Uses dynamic lines and labels (not plot lines) for clean chart overlays.
Table Summary: Monospace table showing regime, k, ATR, stop distance, and volatility stats.
How It Works
Daily Data Pull: Uses daily bars for all volatility calculations to match the original daily model.
Severity Score: Ranks VIX momentum, VIX acceleration, and SPY realized vol, then blends them with weights.
Bucket Mapping: Converts severity into 4 quantile buckets and selects base k per bucket.
Dynamic Adjustments: Adds VIX percentile, ETF gap risk, asset vs market realized vol, and VIX9D term stress.
Stop + Targets: Computes stop distance and applies 1R/2R/3R targets from the reference price.
Use Cases
Stop Placement: Avoid stops that are too tight in high volatility or too wide in low volatility.
Risk Sizing: Use the stop distance with your own risk model to size positions.
Daily Context: Track volatility regime shifts without needing a separate regime model.
Consistent Execution: Standardize stop/target placement across sessions.
Settings
Volatility Inputs:
VIX Symbol, VIX9D Symbol
SPY Symbol (market baseline)
NQ/ES Baseline Symbols (futures baselines)
Stop Model:
ATR EMA Span
VIX Percentile Window
Severity Lookback
Bucket Lookback
Gap Lookback (ETFs)
Bucket Smoothing
Display:
Show Levels (Long/Short/Both)
Use Live Price (current chart) or Daily Close
Level Line Style/Width
Label Size and Position
Long/Short/Overlap colors
Table Styling:
Background, header, border, frame, and text settings
Table position and text size
Technical Notes
All volatility calculations are based on daily data; intraday charts use daily series under the hood.
Futures gap adjustment is disabled; ETFs include gap risk.
This is a risk sizing helper, not a trade signal generator.
Best Practices
Use daily regime output to set stops, then execute on your preferred timeframe.
Confirm symbol mappings for VIX/VIX9D/ES/NQ in your data feed.
If levels feel too wide or tight, adjust the k inputs rather than ATR length first.
A daily volatility‑based stop calculator that adapts stop distance and targets to the current regime.
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.
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.
// ==================================================================================






















