Support and Resistance Power Channel [ChartPrime]The Support and Resistance Power Channel indicator helps traders visualize key support and resistance zones, along with buy and sell power within those zones. By identifying the highest and lowest prices within a defined range, this indicator provides insight into potential price reversals and market strength. It calculates the strength of buy and sell pressure within the zones and includes additional features like midline values and delayed signals to reduce false breakouts.
⯁ KEY FEATURES AND HOW TO USE
⯌ Support and Resistance Zones :
This indicator identifies dynamic support (lower zone) and resistance (upper zone) levels, allowing traders to easily visualize key price levels. These zones are customizable with settings for the length of the channel and how far the zones extend into the future. The zones can be used to predict areas of potential price reversal or consolidation.
⯌ Buy and Sell Power :
Within the upper resistance zone, the indicator calculates Sell Power based on the number of bearish candles, while the lower support zone calculates Buy Power based on bullish candles. This feature helps traders understand the strength of buying or selling activity within each zone.
Example of buy and sell power tracking:
⯌ Highest, Lowest, and Mid Price Levels :
The indicator marks the highest and lowest price levels within the channel with an "X," and displays these values at the end of the channel. Additionally, the midline (average of the high and low) is plotted with a dotted line, showing a key area that the price often retests during trends.
⯌ Delayed Signal Markers :
To prevent false breakouts, the indicator includes a 2-bar delay for signals. These signals are plotted when the price crosses above or below the resistance or support zones, confirming potential reversals or breakouts. Arrows or diamonds are used to mark these signals on the chart.
Example of delayed breakout signals on the chart:
⯌ Extend Zones into the Future :
In the settings, traders can extend the support and resistance zones further into the future, allowing for ongoing analysis even after the initial levels have been identified. This feature can help with forward-looking trade planning.
⯁ USER INPUTS
Length : Defines the number of bars used to calculate the support and resistance zones.
Extend : Sets how far the support and resistance zones should be extended into the future.
Top and Bottom Colors : Allows customization of the colors for the support and resistance zones.
⯁ CONCLUSION
The Support and Resistance Power Channel indicator provides a powerful and visually intuitive way to track key market levels, buy and sell pressure, and potential reversals. With its real-time zone plotting and the calculation of power within each zone, it offers traders essential insights for making more informed trading decisions.
Bands and Channels
RESHAIndicator Name: RESHA – Static Price Levels
Description:
The RESHA indicator is a simple tool that allows traders to manually define multiple horizontal price levels on the chart. These levels are displayed as horizontal lines, each extending a customizable number of candles forward. Traders can input a comma-separated list of prices, which are then plotted automatically on the chart.
Features:
📍 Custom input box for price levels (comma-separated).
📏 Adjustable line length in bars.
Visual price labels at the end of each level.
Clean and minimalistic design, perfect for support/resistance zones or static analysis.
This tool is ideal for traders who want to keep key price zones visible at all times without relying on dynamic calculations or automated indicators.
Dynamic Volatility EnvelopeDynamic Volatility Envelope: Indicator Overview
The Dynamic Volatility Envelope is an advanced, multi-faceted technical indicator designed to provide a comprehensive view of market trends, volatility, and potential future price movements. It centers around a customizable linear regression line, enveloped by dynamically adjusting volatility bands. The indicator offers rich visual feedback through gradient coloring, candle heatmaps, a background volatility pulse, and an on-chart trend strength meter.
Core Calculation Mechanism
Linear Regression Core :
-A central linear regression line is calculated based on a user-defined source (e.g., close, hl2) and lookback period.
-The regression line can be optionally smoothed using an Exponential Moving Average (EMA) to reduce noise.
-The slope of this regression line is continuously calculated to determine the current trend direction and strength.
Volatility Channel :
-Dynamic bands are plotted above and below a central basis line. This basis is typically the calculated regression line but shifts to an EMA in Keltner mode.
-The width of these bands is determined by market volatility, using one of three user-selectable modes:
ATR Mode : Bandwidth is a multiple of the Average True Range (ATR).
Standard Deviation Mode : Bandwidth is a multiple of the Standard Deviation of the source data.
Keltner Mode (EMA-based ATR) : ATR-based bands are plotted around a central Keltner EMA line, offering a smoother channel.
The channel helps identify dynamic support and resistance levels and assess market volatility.
Future Projection :
The indicator can project the current regression line and its associated volatility bands into the future for a user-defined number of bars. This provides a visual guide for potential future price pathways based on current trend and volatility characteristics.
Candle Heatmap Coloring :
-Candle bodies and/or wicks/borders can be colored based on the price's position within the upper and lower volatility bands.
-Colors transition in a gradient from bearish (when price is near the lower band) through neutral (mid-channel) to bullish (when price is near the upper band), providing an intuitive visual cue of price action relative to the dynamic envelope.
Background Volatility Pulse :
The chart background color can be set to dynamically shift based on a ratio of short-term to long-term ATR. This creates a "pulse" effect, where the background subtly changes color to indicate rising or falling market volatility.
Trend Strength Meter :
An on-chart text label displays the current trend status (e.g., "Strong Bullish", "Neutral", "Bearish") based on the calculated slope of the regression line relative to user-defined thresholds for normal and strong trends.
Key Features & Components
-Dynamic Linear Regression Line: Core trend indicator with optional smoothing and slope-based gradient coloring.
-Multi-Mode Volatility Channel: Choose between ATR, Standard Deviation, or Keltner (EMA-based ATR) calculations for band width.
-Customizable Vertical Gradient Channel Fills: Visually distinct fills for upper and lower channel segments with user-defined top/bottom colors and gradient spread.
-Future Projection: Extrapolates regression line and volatility bands to forecast potential price paths.
-Price-Action Based Candle Heatmap: Intuitive candle coloring based on position within the volatility channel, with adjustable gradient midpoint.
-Volatility-Reactive Background Gradient: Subtle background color shifts to reflect changes in market volatility.
-On-Chart Trend Strength Meter: Clear textual display of current trend direction and strength.
-Extensive Visual Customization: Fine-tune colors, line styles, widths, and gradient aggressiveness for most visual elements.
-Comprehensive Tooltips: Detailed explanations for every input setting, ensuring ease of use and understanding.
Visual Elements Explained
Regression Line : The primary trend line. Its color dynamically changes (e.g., green for uptrend, red-pink for downtrend, neutral for flat) based on its slope, with smooth gradient transitions.
Volatility Channel :
Upper & Lower Bands : These lines form the outer boundaries of the envelope, acting as dynamic support and resistance levels.
Channel Fill : The area between the band center and the outer bands is filled with a vertical gradient. For example, the upper band fill might transition from a darker green near the center to a lighter green at the upper band.
Band Borders : The lines outlining the upper and lower bands, with customizable color and width.
Future Projection Lines & Fill :
Projected Regression Line : An extension of the current regression line into the future, typically styled differently (e.g., dashed).
Projected Channel Bands : Extensions of the upper and lower volatility bands.
Projected Area Fill : A semi-transparent fill between the projected upper and lower bands.
Candle Heatmap Coloring : When enabled, candles are colored based on their closing price's relative position within the channel. Bullish colors appear when price is in the upper part of the channel, bearish in the lower, and neutral in the middle. Users can choose to color the entire candle body or just the wicks and borders.
Background Volatility Pulse : The chart's background color subtly shifts (e.g., between a calm green and an agitated red-pink) to reflect the current volatility regime.
Trend Strength Meter : A text label (e.g., "TREND: STRONG BULLISH") positioned on the chart, providing an at-a-glance summary of the trend.
Configuration Options
Users can tailor the indicator extensively via the settings panel, with options logically grouped:
Core Analysis Engine : Adjust regression source data, lookback period, and EMA smoothing for the regression line.
Regression Line Visuals : Control visibility, line width, trend-based colors (uptrend, downtrend, flat), slope thresholds for trend definition, strong slope multiplier (for Trend Meter), and color gradient sharpness.
Volatility Channel Configuration : Select band calculation mode (ATR, StdDev, Keltner), set relevant periods and multipliers. Customize colors for vertical gradient fills (upper/lower, top/bottom), border line colors, widths, and the gradient spread factor for fills.
Future Projection Configuration : Toggle visibility, set projection length (number of bars), line style, and colors for projected regression and band areas.
Appearance & Candle Theme : Set default bull/bear candle colors, enable/disable candle heatmap, choose if body color matches heatmap, and configure heatmap gradient target colors (bull, neutral, bear) and the gradient's midpoint.
Background Volatility Pulse : Enable/disable the background effect and configure short/long ATR periods for the volatility calculation.
Trend Strength Meter : Enable/disable the meter, and choose its on-chart position and text size.
Interpretation Notes
-The Regression Line is the primary indicator of trend direction. Its slope and color provide immediate insight.
-The Volatility Bands serve as dynamic support and resistance zones. Price approaching or touching these bands may indicate potential turning points or breakouts. The width of the channel itself reflects market volatility – widening suggests increasing volatility, while narrowing suggests consolidation.
Future Projections are not predictions but rather an extension of current conditions. They can help visualize potential areas where price might interact with projected support/resistance if the current trend and volatility persist.
Candle Heatmap Coloring offers a quick visual assessment of where price is trading within the dynamic envelope, highlighting strength or weakness relative to the channel.
The Background Volatility Pulse gives a contextual feel for overall market agitation or calmness.
This indicator is designed to be a comprehensive analytical tool. Its signals and visualizations are best used in conjunction with other technical analysis techniques, price action study, and robust risk management practices. It is not intended as a standalone trading system.
Risk Disclaimer
Trading and investing in financial markets involve substantial risk of loss and is not suitable for every investor. The Dynamic Volatility Envelope indicator is provided for analytical and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose. The developers assume no liability for any financial losses incurred based on the use of this indicator.
LGMM (flat buffers) — multivariate poly + latent statesLGMM POLYNOMIAL BANDS — DISCOVER THE MARKET’S HIDDEN STATES
Overview
Latent-Gaussian-Mixture-Models (LGMMs) view price action as a mix of several invisible regimes: trending up, drifting sideways, sudden volatility spikes, and so on.
A Gaussian Mixture learns these states directly from data and outputs, for every bar, the probability that the market is in each state.
This indicator feeds those probabilities into a rolling polynomial regression that draws a fair-value line, then builds adaptive upper and lower bands.
Band width expands when recent residuals are large *and* when the state mix is uncertain, and contracts when price is calm or one regime clearly dominates.
Crossing back into the band from below generates a buy flag; crossing back into the band from above generates a sell flag (or take-profit for longs).
Key Inputs
Price source – default is Close; you can choose HL2, OHLC4, etc.
Training window (bars) – look-back length for every retrain. 252 bars (one trading year) is a balanced default for US stocks on daily timeframe. Use fewer bars for intraday charts (say 7*24=168 for 1H bars on crypto), more for weekly periods.
Polynomial degree – 1 for a straight trend line, 2 for a curved fit. Curved fits are better when the symbol shows persistent drift.
Hidden states K – number of regimes the mixture tracks (1 to 3). Three states often map well to up-trend, chop, down-trend.
Band width ×σ – multiplier on the entropy-weighted standard deviation. Smaller values (1.5-2) give more trades; larger values (2.5-3) give fewer, higher-conviction trades.
Offline μ,σ pairs (optional) – paste component means and sigmas from an offline LGMM (format: mu1,sigma1;mu2,sigma2;…). Leave blank to let the script use its built-in approximation.
Quick Start
Add the indicator to a chart and wait until the initial Training window has filled.
Watch for green BUY triangles when price closes back above the lower band and red SELL triangles when price closes back below the upper band.
Fine-tune:
– Increase Training window to reduce noise.
– Decrease Band width ×σ for more frequent signals.
– Experiment with Hidden states K; more states capture richer behaviour but need longer windows to stay reliable.
Tips
Bands widen automatically in chaotic periods and tighten when one regime dominates.
Combine with a volume filter or a higher-time-frame trend to reduce whipsaws.
If you already run an LGMM in Python or Matlab, paste its component parameters for a perfect match between your back-test and the TradingView plot.
Works on all markets and time-frames, provided you have at least five times the Training window’s bars in history.
Happy trading!
[blackcat] L2 Multi-Level Price Condition TrackerOVERVIEW
The L2 Multi-Level Price Condition Tracker represents an innovative approach to analyzing financial markets by simultaneously monitoring multiple price levels, thus providing traders with a holistic view of market dynamics. By combining dynamic calculations based on moving averages and price deviations, this tool aims to deliver precise and actionable insights into potential entry and exit points. It leverages sophisticated statistical measures to identify key thresholds that signify shifts in market sentiment, thereby aiding traders in making well-informed decisions. 🎯
Key benefits encompass:
• Comprehensive calculation of midpoints and average prices indicating short-term trend directions.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by precise condition evaluations.
TECHNICAL ANALYSIS COMPONENTS
📉 Midpoint Calculations:
Computes central reference points derived from high-low ranges establishing baseline supports/resistances.
Utilizes Simple Moving Averages (SMAs) along with standardized deviation formulas smoothing out volatility while preserving long-term trends accurately.
Facilitates identification of directional biases reflecting underlying market forces dynamically.
🕵️♂️ Advanced Price Level Detection:
Derives upper/lower bounds adjusting sensitivities adaptively responding to changing conditions flexibly.
Employs proprietary logic distinguishing between bullish/bearish sentiments promptly signaling transitions effectively.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy robustly.
🎥 Dynamic Signal Generation:
Detects crossovers indicating dominance shifts between buyers/sellers promptly triggering timely alerts.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations systematically.
Supports adaptive thresholds tuning sensitivities based on evolving market conditions flexibly accommodating varying scenarios.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages alongside standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time midpoint markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively highlighting key activations clearly.
Background shading emphasizing proximity to crucial threshold activations enhancing visibility focusing attention on vital signals promptly.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals assessing concurrent market sentiment factors.
Validate entry decisions considering alignment between calculated midpoints and broader trend directions ensuring coherence.
Monitor cumulative breaches signifying potential trend reversals executing partial/total closes contingent upon predetermined loss limits preserving capital efficiently.
🚫 Exit Mechanisms:
Trigger exits upon hitting predefined thresholds derived from historical analyses promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement implementing corrective actions iteratively enhancing performance metrics steadily.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Lookback Period: Governs responsiveness versus stability balancing sensitivity/stability governing moving averages aligning with preferred granularity.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately tailoring strategies accordingly.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts evaluating adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity sustaining balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches preserving capital efficiently.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines managing exposures prudently.
Mandatorily apply trailing stop-loss orders conforming to script outputs enforcing discipline rigorously preventing adverse consequences.
Allocate positions proportionately relative to available capital reserves conducting periodic reviews gauging effectiveness continuously identifying improvement opportunities steadily.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously preparing contingency plans proactively mitigating risks effectively.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically implementing corrective actions reliably.
Prepare proactive responses amid adverse movements ensuring seamless functionality amidst fluctuating conditions fortifying resilience against anomalies robustly.
PERFORMANCE MONITORING METRICS
🔍 Evaluation Criteria:
Assess win percentages consistently across diverse trading instruments gauging reliability measuring profitability efficiency accurately evaluating downside risks comprehensively uncovering systematic biases potentially skewing outcomes.
Calculate average profit ratios per successful execution benchmarking actual vs expected performances documenting results meticulously tracking progress dynamically addressing identified shortcomings proactively fostering continuous improvements.
📈 Historical Data Analysis Tools:
Maintain detailed logs capturing every triggered event recording realized profits/losses comparing simulated projections accurately identifying discrepancies warranting investigation implementing iterative refinements steadily enhancing performance metrics progressively.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily addressing identified shortcomings proactively fostering continuous enhancements dynamically improving robustness resiliently.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes enhancing signal integrity excluding low-liquidity assets prone to erratic movements effectively.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities introducing buffer intervals safeguarding major news/event impacts mitigating distortions seamlessly verifying reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably.
💡 Effective Resolution Pathways:
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently recalibrating parameters periodically adapting strategies flexibly responding appropriately amidst varying conditions dynamically improving robustness resiliently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably bolstering overall efficacy systematically addressing identified shortcomings dynamically fostering continuous advancements.
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights regarding multi-level price condition-based trading methodologies! ✨
CANX SMC Levels & Traps © CanxStixTrader
Using some of Bjorgum coding and concepts combined with CANX systems this indicator helps spot inducements and Smart Money Traps as well as basic support and resistance.
Using three of the most significant points in price action
1. Breakouts
2. False Breakouts (Traps)
3. Back Checks
I always go on about price action on my channels because this alone can help identify valid and invalid positions. If these three points are properly identified they can be some of the most significant points of movement in the price and bring significant gains to traders.
Breakouts
Breakouts can bring significant moves in price as the market swings after key levels are breached. This entry type can bring large moves and if momentum is on your side at those key levels.
False Breakouts
Also known as a bull trap or a bear trap, false breakouts can lead to swift and significant reversal of what looks like a key area break then becomes a large and sudden move to the opposite side. When a key level breakout fails to hold, parties entering to capitalize on the breakout can get left holding or forcing them to exit at a loss, which can double the force of pressure on the move to the opposite side.
Backchecks
Back checks are pull backs in trend that find middle ground to the two areas already described. Both momentum and entry price are decent, but risk is defined as a key level has flipped offering entry with stops below demand, or above supply.
-----------------------------------
Combining these three methods will helps to diversify risk, understand trend development, and bring steady gains. This script helps to identify these points to traders with analysis of key levels, price structure, and trend direction, while providing visual signals and alerts for when they occur.
Breakout/Fakeout Mum Tespitçisi🧠 How to Work?
Breakout Up (Y↑): The candle breaks the upper band up, continues above and the shadow is short.
Breakout Down (Y↓): The candle breaks the lower band down, continues above and the shadow is short.
Fakeout Up (F↑): The upper band closes again without opening (bull trap).
Fakeout Down (F↓): The lower band breaks but closes again (bear trap).
Breakout Scanner (VWAP+Volume+RSI)If the price is above the VWAP, there is an increase in volume and the RSI is > 60, it gives a breakout signal. Most Effective for Breakout
G-Channel X Adjustable 2 lines cross Gaussian Channel MA, with adjustable SMMA for each average. Simple
Session High/LowThis TradingView indicator draws horizontal lines representing the Highs and Lows of the three major trading sessions:
Asia (00:00–09:00)
London (09:00–14:30)
New York (15:30–23:00)
These lines serve as key support and resistance zones often respected by institutional and algorithmic traders.
Elder Envelope V2Based on the public script by idu. (Elder Impulse System with AutoEnvelope combined by idu)
I enhanced it by adding:
- second set of envelope bands
-alerts for Short and Center EMAs cross
- fill between EMAs
I find this strategy good for swing trading on daily timeframes to determine overbought/oversold conditions. When stock is near 2nd upper band - take profits/short, when near lower -2nd band cover short/buy longs. Bull bear trend is determined by the short and long(center) emas cross. In rangebound flat trends gives false signals. Best edge is when near extremes of the bands.
VOLATISPHERE + AlertVOLATISPHERE — Volatility-Based Trend & Reversion Indicator
The VOLATISPHERE is a powerful multi-functional indicator designed to detect volatility-driven price extremes, mean-reversion opportunities, and multi-timeframe trend direction using adaptive dynamic bands.
🔍 Core Features
Volatility Bands: Calculates dynamic upper, middle, and lower bands based on average high-low range and ATR, scaled by a customizable standard deviation.
Mean Reversion Signal: A normalized oscillator identifies potential overbought/oversold zones and triggers mean reversion signals (🞛 for bullish, 🞜 for bearish) when price deviates strongly from the bands.
Band Color Logic: The color of the middle band adapts based on trend momentum — green for bullish shifts and red for bearish turns.
Auto-Labeling: Real-time dynamic labels display current band levels for better readability on the chart (upper and lower bands in white, middle band in trend color).
📊 Multi-Timeframe Trend Dashboard
A built-in TrendMeter table displays the current trend status (Bullish / Bearish / Neutral) across multiple timeframes: 5m, 15m, 1H, 4H, Daily, and Weekly. This provides a quick overview of broader market alignment.
🔔 Alerts
Custom alert conditions are available for:
Price crossing each band (upper, middle, lower)
Entry signals from overbought/oversold zones
MSTR/MTPLF Flip Strategy (with 1D Supertrend Overlay)MSTR/MTPLF Flip Strategy – Z-Score + MACD + RSI + Supertrend (1D Overlay)
This script is designed for traders rotating between MicroStrategy (MSTR) and Metaplanet (MTPLF)—two Bitcoin proxy stocks—using a quantitative, multi-indicator approach.
🔍 Core Strategy:
Z-Score detects statistical mispricing between MSTR and MTPLF
RSI confirms momentum extremes (overbought/oversold)
MACD identifies trend reversals
Supertrend (1D) confirms the broader trend direction
✅ Flip Signals:
Flip to MSTR: Z-Score < -2, RSI < 30, MACD bullish crossover, and Supertrend (1D) is bullish
Flip to MTPLF: Z-Score > +2, RSI > 70, MACD bearish crossover, and Supertrend (1D) is bearish
📈 Visual Overlay:
The 1D Supertrend line is plotted directly on your current chart (e.g., 4H) for easy trend tracking.
🧠 Ideal for swing traders and pair traders looking to rotate capital between correlated assets based on both mean reversion and trend confirmation.
Customize the timeframe, sensitivity, and alerts to fit your trading style.
Supply & Demand (MTF) | Picaspec
Picaspec Supply and Demand Zone Indicator
*A multi-timeframe supply & demand zone detection tool for TradingView*
### 🧠 **Overview**
This indicator is designed to automatically identify and plot **supply and demand zones** across multiple timeframes on any TradingView chart. These zones are key areas where price has previously shown significant buying (demand) or selling (supply) interest — and where future price reactions are highly probable.
It simplifies the application of supply and demand trading concepts by visually marking potential reversal or continuation zones, helping traders spot high-probability trade opportunities with minimal effort.
---
### 🔍 **Key Features**
#### ✅ **Automatic Supply and Demand Zone Detection**
* The indicator identifies **strong price imbalances** based on previous price action.
* It plots **demand zones** where price moved away strongly after a base, indicating buying pressure.
* It plots **supply zones** where price dropped sharply after a base, indicating selling pressure.
* Zones are drawn based on classic supply/demand criteria (drop-base-rally, rally-base-drop, etc.).
#### 🕰️ **Multi-Timeframe Analysis**
* Detects zones from higher timeframes like **1H, 4H, Daily**, etc., and overlays them on lower timeframes.
* This helps traders combine intraday entries with broader context from higher timeframe zones.
#### 🎯 **Refinement and Filtering Options**
* **Mitigated zones** can be hidden or shown — once price revisits a zone, it’s marked as "used."
* **Zone strength** filters allow traders to focus only on the most relevant supply/demand areas.
* Traders can toggle visibility for each timeframe zone to reduce chart clutter.
#### 🎨 **Visual Clarity**
* **Color-coded zones**:
* Green for demand
* Red for supply
* Adjustable transparency and zone thickness.
* Labels for timeframes (e.g., "4H Supply") to clearly show origin.
#### 📐 **Dynamic Updates**
* Zones update in real-time as new supply/demand formations are detected.
* Outdated or invalid zones are removed, keeping charts clean and actionable.
---
### ⚙️ **Customization Options**
* Enable/disable zones by timeframe (e.g., only show Daily + 4H).
* Adjust zone style: color, line style, label visibility.
* Control how long zones remain on the chart after being mitigated.
* Turn on/off alerts when price enters a zone (optional).
---
### 💡 **Use Cases**
* **Swing Trading**: Use Daily and 4H zones for identifying macro-level turning points.
* **Intraday Trading**: Drop to 15m or 1H zones for scalping precise entries inside higher timeframe zones.
* **Confluence Trading**: Combine S\&D zones with price action, break of structure, or candlestick patterns for higher probability trades.
---
### 🧑💼 **Who Is This For?**
* Traders who follow **Supply & Demand** methodology.
* Price action traders looking to automate zone plotting.
* Beginners who want to visually learn how S\&D zones work.
* Advanced traders who need efficient multi-timeframe zone overlays.
KAVAUSDT Gelişmiş Breakout/Support-Resistance Stratejisi🧠 Timeframe Matching:
🔹 Ideal: 15 Minutes & 1 Hour
🔹 Supporting: 5D (very short term scalp), 4s (for medium term confirmation)
Relative Performance Spread**Relative Performance Spread Indicator – Overview**
This indicator compares the **relative performance between two stocks** by normalizing their prices and calculating the **spread**, **area under the curve (AUC)**, or **normalized price ratio**.
### **How It Works**
* **Input**: Select a second stock (`ticker2`) and a moving average window.
* **Normalization**: Each stock is normalized by its own moving average → `norm = close / MA`.
* **Spread**: The difference `spread = norm1 - norm2` reflects which stock is outperforming.
* **AUC**: Cumulative spread over time shows prolonged dominance or underperformance.
* **Bounds**: Bollinger-style bands are drawn around the spread to assess deviation extremes.
### **Usage**
* **Plot Type Options**:
* `"Spread"`: Spot outperformance; crossing bands may signal rotation.
* `"AUC"`: Track long-term relative trend dominance.
* `"Normalized"`: Directly compare scaled price movements.
Use this tool for **pair trading**, **relative momentum**, or **rotation strategies**. It adapts well across assets with different price scales.
McGinley Dynamic Channel with Directional ShadingA Pine Script indicator that creates a 20-period McGinley Dynamic channel:
The upper band is the 20-period of the high.
The lower band is the 20-period of the low.
The channel is shaded.
The McGinley Dynamic is a smoothing algorithm designed to follow price more closely than traditional moving averages while adapting to market speed. The fill changes between green and red depending on whether the McGinley midline is rising or falling.
Gold Breakout Strategy - RR 4Strategy Name: Gold Breakout Strategy - RR 4
🧠 Main Objective
This strategy aims to capitalize on breakouts from the Donchian Channel on Gold (XAU/USD) by filtering trades with:
Volume confirmation,
A custom momentum indicator (LWTI - Linear Weighted Trend Index),
And a specific trading session (8 PM to 8 AM Quebec time — GMT-5).
It takes only one trade per day, either a buy or a sell, using a fixed stop-loss at the wick of the breakout candle and a 4:1 reward-to-risk (RR) ratio.
📊 Indicators Used
Donchian Channel
Length: 96
Detects breakouts of recent highs or lows.
Volume
Simple Moving Average (SMA) over 30 bars.
A breakout is only valid if the current volume is above the SMA.
LWTI (Linear Weighted Trend Index)
Measures momentum using price differences over 25 bars, smoothed over 5.
Used to confirm trend direction:
Buy when LWTI > its smoothed version (uptrend).
Sell when LWTI < its smoothed version (downtrend).
⏰ Time Filter
The strategy only allows entries between 8 PM and 8 AM (GMT-5 / Quebec time).
A timestamp-based filter ensures the system recognizes the correct trading session even across midnight.
📌 Entry Conditions
🟢 Buy (Long)
Price breaks above the previous Donchian Channel high.
The current channel high is higher than the previous one.
Volume is above its moving average.
LWTI confirms an uptrend.
The time is within the trading session (20:00 to 08:00).
No trade has been taken yet today.
🔴 Sell (Short)
Price breaks below the previous Donchian Channel low.
The current channel low is lower than the previous one.
Volume is above its moving average.
LWTI confirms a downtrend.
The time is within the trading session.
No trade has been taken yet today.
💸 Trade Management
Stop-Loss (SL):
For long entries: placed below the wick low of the breakout candle.
For short entries: placed above the wick high of the breakout candle.
Take-Profit (TP):
Set at a fixed 4:1 reward-to-risk ratio.
Calculated as 4x the distance between the entry price and stop-loss.
No trailing stop, no break-even, no scaling in/out.
🎨 Visuals
Green triangle appears below the candle on a buy signal.
Red triangle appears above the candle on a sell signal.
Donchian Channel lines are plotted on the chart.
The strategy is designed for the 5-minute timeframe.
🔄 One Trade Per Day Rule
Once a trade is taken (buy or sell), no more trades will be executed for the rest of the day. This prevents overtrading and limits exposure.
High/Low Digit SumNAMAN SHAH
Its about the high low total of a candle only for gold where if highs total is 9 then its a chance that it will not break the high for a long time and it will be a good opportunity for short
And vise versa
老墨趋势交易系统Three Vegas channels, combined with two SMAs and integrated with VWAP; when the Vegas channels align, and the money momentum is positive along with a relative strength index that is also positive, a green signal is generated.
Crypto Scalping Strategy [Dubic] - LONG Only📈 Crypto Scalping Strategy – LONG Only
This strategy is designed for scalping crypto assets on lower timeframes (e.g., 5m, 15m, 1H), focused strictly on LONG entries with smart trend confirmation and ATR-based risk management.
✅ Core Features
EMA Trend Confirmation: Entry triggers when fast EMA crosses above slow EMA and RSI confirms bullish strength.
Re-Entry Logic: Detects pullbacks using Heikin Ashi candles and enters again when bullish momentum resumes.
ATR-Based Stop Loss & Take Profit: Dynamic SL and TP levels adapt to market volatility.
Trailing Take Profit: After initial TP is hit, a trailing TP protects profits as the trend continues.
Visual SL/TP Levels: Plots ATR stop loss, take profit, and trailing TP levels directly on the chart.
Alert-Ready: Includes webhook-compatible alerts for Initial Buy, Re-entry Buy, and Manual Exit signals.
⚙️ Inputs You Can Customize
EMA Fast/Slow Periods
RSI Length
ATR Length and multipliers for SL/TP
Trailing TP Deviation %
🔔 Alerts
Ready-to-use alerts for:
Initial Buy
Re-Entry Buy
Manual Exit when price closes below the fast EMA
Webhook messages are formatted in JSON for easy integration with bots or automation tools.
🚨 Disclaimer: This is a long-only strategy built for educational and testing purposes. Always backtest thoroughly and use proper risk management before trading live.
EMA Crossover with Shading
A Pine Script indicator that shows a crossover between a short EMA and a long EMA, with green shading when the short EMA is above the long EMA and red shading when it's below.
