Highs & Lows - Multi TimeFrame### **📌 HL-MWD (Highs & Lows - Multi Timeframe Indicator) – Community Release**
#### **🔹 Overview**
The **HL-MWD Indicator** is a **multi-timeframe support & resistance tool** that plots **historical highs and lows** from **daily, weekly, and monthly timeframes** onto an intraday chart. It helps traders **identify key levels of support and resistance** that have influenced price action over different timeframes.
This indicator is useful for **day traders, swing traders, and position traders** who rely on **multi-timeframe analysis** to spot critical price levels.
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### **🔥 Key Features**
✅ **Plots Highs & Lows for Daily, Weekly, and Monthly Timeframes**
✅ **Customizable Lookback Periods for Each Timeframe**
✅ **Adjustable Line Colors, Styles (Solid, Dotted, Dashed), and Widths**
✅ **Extend Lines into the Future to Identify Key Price Levels**
✅ **Option to Display Price Labels for Each Level**
✅ **Gradient Option to Highlight Recent Highs & Lows (Disabled by Default)**
✅ **Compatible with Intraday, Daily, and Weekly Charts**
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### **📈 How It Works**
- **Daily Highs & Lows:** Captures the **highest and lowest prices** within the selected lookback period (default: **14 bars**).
- **Weekly Highs & Lows:** Marks the **highest and lowest prices** within the chosen weekly lookback (default: **52 bars**).
- **Monthly Highs & Lows:** Displays the **high and low points** from the monthly timeframe (default: **36 bars**).
- **Extended Lines:** Project past highs and lows **into the future** to help identify **potential support & resistance zones**.
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### **⚠️ TradingView Lookback Limitations**
🔹 **TradingView has a limit on how many historical bars can be accessed per timeframe**, which affects how far back the indicator can retrieve data.
🔹 **Intraday charts (e.g., 5m, 15m) have a limited number of past bars**, meaning:
- **You won’t be able to view 36 months' worth of monthly levels** on a **5-minute chart**, because TradingView doesn’t store that much data in lower timeframes.
- **If multiple timeframes (e.g., weekly + monthly) are enabled at the same time**, some historical data may **not be available on shorter timeframes**.
🔹 **Recommendation:**
- If using **monthly lookbacks (36 months+), view them on a daily or higher timeframe**.
- If using **weekly lookbacks (52 weeks+), higher intraday timeframes (e.g., 1-hour, 4-hour) are better suited**.
- **Lower timeframes (1m, 5m, 15m) may miss some levels** if TradingView's bar limit is exceeded.
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### **⚙️ Customization Options**
| **Setting** | **Default Value** | **Description** |
|------------------|----------------|----------------|
| **Daily Lookback** | `14` | Number of bars used to calculate daily highs/lows. |
| **Weekly Lookback** | `52` | Number of bars used to calculate weekly highs/lows. |
| **Monthly Lookback** | `36` | Number of bars used to calculate monthly highs/lows. |
| **Line Colors** | Daily: `Blue` Weekly: `Green` Monthly: `Red` | Customizable colors for each timeframe. |
| **Line Style** | `Solid` | Options: Solid, Dashed, Dotted. |
| **Line Width** | `1` | Thickness of the plotted lines. |
| **Extend Line** | `1` | Controls how far the highs/lows extend into the future. |
| **Display Price Labels** | `Enabled` | Shows price labels on each level. |
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### **🛠️ How to Use It**
- **Enable/disable different timeframes** based on your strategy.
- **Customize colors, line styles, and widths** to match your charting style.
- **Use extended lines to identify support & resistance zones.**
- **Watch price reactions at these levels** for potential entries, exits, and stop-loss placements.
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### **🚀 Final Thoughts**
The **HL-MWD Indicator** is a **powerful multi-timeframe tool** that helps traders **visualize key support & resistance levels** from higher timeframes on an intraday chart.
⚠️ **However, TradingView’s lookback limits apply—so for longer-term levels, higher timeframes are recommended.**
📌 **Now published for the community!** Let me know if you need any last-minute tweaks! 🔥
Educational
Equity Curve with Trend Indicator (Long & Short) - SimulationOverview:
Market Regime Detector via Virtual Equity Curve is a unique indicator that simulates the performance of a trend-following trading system—incorporating both long and short trades—to help you identify prevailing market regimes. By generating a “virtual equity” curve based on simple trend signals and applying trend analysis directly on that curve, this indicator visually differentiates trending regimes from mean-reverting (or sideways) periods. The result is an intuitive display where green areas indicate a trending (bullish) regime (i.e., where trend-following strategies are likely to perform well) and red areas indicate a mean-reverting (bearish) regime.
Features:
Simulated Trade Performance:
Uses a built-in trend-following logic (a simple 10/50 SMA crossover example) to simulate both long and short trades. This simulation creates a virtual equity curve that reflects the cumulative performance of the system over time.
Equity Trend Analysis:
Applies an Exponential Moving Average (EMA) to the simulated equity curve to filter short-term noise. The EMA acts as a trend filter, enabling the indicator to determine if the equity curve is in an upward (trending) or downward (mean-reverting) phase.
Dynamic Visual Regime Detection:
Fills the area between the equity curve and its EMA with green when the equity is above the EMA (indicating a healthy trending regime) and red when below (indicating a mean-reverting or underperforming regime).
Customizable Parameters:
Easily adjust the initial capital, the length of the equity EMA, and other settings to tailor the simulation and visual output to your trading style and market preferences.
How It Works:
Trade Simulation:
The indicator generates trading signals using a simple SMA crossover:
When the 10-period SMA is above the 50-period SMA, it simulates a long entry.
When the 10-period SMA is below the 50-period SMA, it simulates a short entry. The virtual equity is updated bar-by-bar based on these simulated positions.
Equity Trend Filtering:
An EMA is calculated on the simulated equity curve to smooth out fluctuations. The relative position of the equity curve versus its EMA is then used as a proxy for the market regime:
Bullish Regime: Equity is above its EMA → fill area in green.
Bearish Regime: Equity is below its EMA → fill area in red.
Visualization:
The indicator plots:
A gray line representing the simulated equity curve.
An orange line for the EMA of the equity curve.
A dynamic fill between the two lines, colored green or red based on the prevailing regime.
Inputs & Customization:
Initial Capital: Set your starting virtual account balance (default: 10,000 USD).
Equity EMA Length: Specify the lookback period for the EMA applied to the equity curve (default: 30).
Trend Signal Logic:
The current implementation uses a simple SMA crossover for demonstration purposes. Users can modify or replace this logic with their own trend-following indicator to tailor the simulation further.
ATR Percentages BoxThis custom indicator provides a quick visual reference for volatility-based price ranges, directly on your TradingView charts. It calculates and displays three ranges derived from the Daily Average True Range (ATR) with a standard 14-period setting:
5 Min (3% ATR): Ideal for very short-term scalping and quick intraday moves.
1 Hour (5% ATR): Useful for hourly setups, short-term trades, and intraday volatility assessment.
Day (10% ATR): Perfect for daily volatility context, swing trades, or placing stops and targets.
The ranges are clearly shown in a compact box at the top-right corner, providing traders immediate insights into realistic price movements, helping to optimise entries, stops, and profit targets efficiently.
Smart Scalper Indicator🎯 How the Smart Scalper Indicator Works
1. EMA (Exponential Moving Average)
EMA 10 (Blue Line):
Shows the short-term trend.
If the price is above this line, the trend is bullish; if below, bearish.
EMA 20 (Orange Line):
Displays the longer-term trend.
If EMA 10 is above EMA 20, it indicates a bullish trend (Buy signal).
2. SuperTrend
Green Line:
Represents support levels.
If the price is above the green line, the market is considered bullish.
Red Line:
Represents resistance levels.
If the price is below the red line, the market is considered bearish.
3. VWAP (Volume Weighted Average Price)
Purple Line:
Indicates the average price considering volume.
If the price is above the VWAP, the market is strong (Buy signal).
If the price is below the VWAP, the market is weak (Sell signal).
4. ATR (Average True Range)
Used to measure market volatility.
An increasing ATR indicates higher market activity, enhancing the reliability of signals.
ATR is not visually displayed but is factored into the signal conditions.
⚡ Entry Signals
Green Up Arrow (Buy):
EMA 10 is above EMA 20.
The price is above the SuperTrend green line.
The price is above the VWAP.
Volatility (ATR) is increasing.
Red Down Arrow (Sell):
EMA 10 is below EMA 20.
The price is below the SuperTrend red line.
The price is below the VWAP.
Volatility (ATR) is increasing.
🔔 Alerts
"Buy Alert" — Notifies when a Buy condition is met.
"Sell Alert" — Notifies when a Sell condition is met.
✅ How to Use the Indicator:
Add the indicator to your TradingView chart.
Enable alerts to stay updated on signal triggers.
Check the signal:
A green arrow suggests a potential Buy.
A red arrow suggests a potential Sell.
Set Stop-Loss:
Below the SuperTrend line or based on ATR levels.
Take Profit:
Target 1-2% for short-term trades.
AutoFibGauge (TechnoBlooms) AutoFibGauge help users to understand Fibonacci retracement with auto-drawn levels from previous candes, dual moving average crossover for trend confirmation, and a thermometer for quick Fib level identification.
This indicator is designed to streamline your trading decisions. By automatically plotting the Fibonacci levels based on previous candles, it aids in identifying key support and resistance zones. User can choose the number of previous candles for which the Fibonacci is calculated.
Paired with a dual moving average crossover system for robust trend confirmation, this tools helps in aligning with the market's direction.
A dynamic thermometer display that instantly highlights critical Fib levels, making it easier than ever to spot opportunities at a glance.
Nifty/Gold RatioPrice of NIFTY in GOLD. Highs indicate that Gold is getting cheaper, Lows indicate Nifty is getting cheaper.
[COW] Day Percent LevelsThis indicator plots on your chart 2 levels, the daily percentage changes required to know by most prop firms and other exchanges. 5% is often a cutoff point for prop firm day traders and can get you banned if you trade past these levels. This indicator allows you to adjust the percentage as well as the lines and labels to your liking.
This is key when using prop firms as it is a level you must be aware of when trading. This can help you avoid being banned, your account being closed, or other disciplinary action based on trading past these levels.
Enjoy!
IU Gap Fill StrategyThe IU Gap Fill Strategy is designed to capitalize on price gaps that occur between trading sessions. It identifies gaps based on a user-defined percentage threshold and executes trades when the price fills the gap within a day. This strategy is ideal for traders looking to take advantage of market inefficiencies that arise due to overnight or session-based price movements. An ATR-based trailing stop-loss is incorporated to dynamically manage risk and lock in profits.
USER INPUTS
Percentage Difference for Valid Gap - Defines the minimum gap size in percentage terms for a valid trade setup. ( Default is 0.2 )
ATR Length - Sets the lookback period for the Average True Range (ATR) calculation. (default is 14 )
ATR Factor - Determines the multiplier for the trailing stop-loss, helping in risk management. ( Default is 2.00 )
LONG CONDITION
A gap-up occurs, meaning the current session opens above the previous session’s close.
The price initially dips below the previous session's close but then recovers and closes above it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
SHORT CONDITION
A gap-down occurs, meaning the current session opens below the previous session’s close.
The price initially moves above the previous session’s close but then closes below it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
LONG EXIT
An ATR-based trailing stop-loss is set below the entry price and dynamically adjusts upwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
SHORT EXIT
An ATR-based trailing stop-loss is set above the entry price and dynamically adjusts downwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
WHY IT IS UNIQUE
Precision in Identifying Gaps - The strategy focuses on real price gaps rather than minor fluctuations.
Dynamic Risk Management - Uses ATR-based trailing stop-loss to secure profits while allowing the trade to run.
Versatility - Works on stocks, indices, forex, and any market that experiences session-based gaps.
Optimized Entry Conditions - Ensures entries are taken only when the price attempts to fill the gap, reducing false signals.
HOW USERS CAN BENEFIT FROM IT
Enhance Trade Timing - Captures high-probability trade setups based on market inefficiencies caused by gaps.
Minimize Risk - The ATR trailing stop-loss helps protect gains and limit losses.
Works in Different Market Conditions - Whether markets are trending or consolidating, the strategy adapts to potential gap fill opportunities.
Fully Customizable - Users can fine-tune gap percentage, ATR settings, and stop-loss parameters to match their trading style.
THE Bucknut test PARI (SPY)📌 THE Bucknut Test PARI – Market Momentum & Volatility Gauge
🔹 Description
THE Bucknut Test PARI Indicator is a momentum and volatility-based market gauge designed to provide clear, actionable insights on price movement. This indicator calculates a Price Action Relative Index (PARI) score to help traders evaluate risk and potential market reversals.
It utilizes exponential moving average (EMA)-based momentum, standard deviation volatility, and SPY correlation to generate a PARI score between 1-100. The score is then categorized into risk zones, helping traders identify when conditions are favorable for entries or caution is needed.
Ideal for intraday traders, options traders (including SPX 0DTE), and swing traders looking to gauge volatility-driven market shifts.
🔥 Features & Functionality
✅ Momentum Calculation via EMA Filtering – Ensures smooth, responsive signals.
✅ Volatility-Based Adjustments – Uses standard deviation-based volatility scaling.
✅ SPY Correlation Filtering – Helps align momentum signals with market sentiment.
✅ User-Defined Timeframe Settings – Adjusts dynamically based on selected time intervals.
✅ Customizable Risk Thresholds – Allows traders to define high-risk, neutral, and low-risk zones.
✅ Non-Repainting Algorithm – Ensures reliable, static signals without revision.
⚙️ Settings & Adjustments
Setting Default Value Description
Time Frame Mode "5m-15m" Choose between 1m-3m, 5m-15m, or 1H-Daily. Affects smoothing values.
Scaling Factor 10 Adjusts PARI score sensitivity. Higher values amplify movement.
Background Color Black Custom background for the indicator panel.
Background Transparency 85 Controls indicator panel opacity (0 = solid, 100 = invisible).
High-Risk Threshold 80 Above this level, market is in overbought/high-risk conditions.
Low-Risk Threshold 20 Below this level, market is oversold/low-risk for potential reversals.
Neutral Level 50 Middle ground where price action is balanced.
📈 How to Use THE Bucknut Test PARI
🔴 Above 80 (High-Risk Zone)
Market may be overheated, strong momentum may fade or reverse soon.
Caution with calls; potential put opportunities.
🟢 Below 20 (Low-Risk Zone)
Market is oversold, potential reversal or bounce incoming.
Consider long entries or avoiding shorts.
⚪ Between 20-80 (Neutral Zone)
Market is in equilibrium; follow primary trend direction.
No extreme risk, trend-following strategies preferred.
🔍 Example Use Cases
✔ Intraday Traders → Gauge market strength on short-term charts (1m-15m).
✔ SPX 0DTE Options Traders → Time high-confidence call/put setups.
✔ Swing Traders → Identify periods of excessive momentum or exhaustion.
ORB MOTORB MOT - Opening Range Breakout Indicator (Educational purpos only)
The ORB MOT (Opening Range Breakout Multi-Option Tool) is a powerful TradingView indicator designed to help traders identify and capitalize on market breakouts based on the opening range. This tool provides extensive customization options, allowing traders to fine-tune their breakout strategies according to different timeframes and trading sessions.
Key Features:
Configurable Opening Range: Traders can define the opening range period (1, 2, 3, 5, 15, or 30 minutes) to suit their trading strategy.
Session-Based Analysis: The indicator automatically adjusts for market session times and provides an optional international override for different time zones.
Visual Representation: ORB levels are displayed with clear labels, shaded regions, and customizable colors for easy identification.
Breakout and Retest Detection: Identifies breakout points and potential retests, helping traders make informed decisions.
Multiple Price Targets: Calculates and plots key levels such as 50%, 100%, 150%, and 200% price targets for potential trade exits.
Fibonacci Extensions: Optional Fibonacci targets (21.2%, 61.8%) can be displayed for additional market confluence.
Alerts and Notifications: Provides alerts for breakout conditions, ensuring traders don’t miss critical movements.
How It Works:
The indicator calculates the high and low of the selected opening range.
Breakout points are identified when price crosses above or below the range.
The indicator plots multiple price targets based on the range's size.
Traders can visualize past ORB levels and retests for better trend analysis.
Alerts notify users of significant breakout events.
Who Can Use This Indicator?
Scalpers & Day Traders: Perfect for identifying quick breakout opportunities.
Swing Traders: Helps determine key levels for potential reversals or trend continuations.
Institutional & Retail Traders: Useful for analyzing market structure and setting price targets.
The ORB MOT indicator is a must-have tool for traders looking to refine their breakout strategy with precision and ease. Whether you're a beginner or an experienced trader, this indicator provides valuable insights into market movements and trading opportunities.
Timeframe HighlighterThis indicator allows traders to highlight specific timeframes on their chart. Highlights can be applied to specific symbols or all symbols. Traders can also define multiple timeframes with different colors and toggle each highlight on or off as needed.
Notes:
The times are based on the EST time zone.
If an invalid symbol is entered the highlight will be ignored.
High and Low with Horizontal TableHigh and Low with Horizontal Table Indicator
Overview
The "High and Low with Horizontal Table" indicator is designed for traders who wish to monitor key levels based on specific candle times, along with dynamic risk-to-reward ratios and ATR-based values. This indicator features real-time calculations, visual cues, and a table for quick reference of the calculated values.
Key Features
Custom Time Inputs:
Users can define two specific time inputs to select the candles for the High and Low prices. These times can target the same or separate candles.
ATR-based Calculation:
The indicator allows users to apply an ATR Multiplier to adjust the calculation of key levels. By default, the ATR multiplier is set to 1.2, but users can adjust it to their preferred value (e.g., 1.5 or 2).
Risk-to-Reward (R:R) Calculation:
The Risk-to-Reward Ratio (R:R) is used to calculate potential Take Profit (TP) levels based on the high and low of the selected candle(s).
The default R:R ratio is 2.0, but it can be customized to suit the trader’s strategy.
Visual Markings:
The High and Low values are plotted with subtle markers on the chart (cross style) for easy identification. The display of these markers is subdued for minimal visual distraction.
Horizontal Table Display:
A horizontal table is generated in the top-right corner of the chart, providing a quick reference for the following values:
High and Low of the selected candle(s)
High + ATR Multiplier and Low - ATR Multiplier
R:R ratio
Buy TP and Sell TP levels
Each value is displayed with a reasonable number of decimal places (4 decimals) for major forex pairs, XAUUSD, and BTCUSD.
Input Parameters
Hour and Minute for High Candle: Select the time for the candle that will determine the High.
Hour and Minute for Low Candle: Select the time for the candle that will determine the Low.
ATR Multiplier: A customizable input for adjusting the ATR-based calculations (default is 1.2).
Risk-to-Reward (R:R): Set the ratio to determine the TP levels (default is 2.0).
How It Works
The user defines two distinct time inputs (one for the High and one for the Low).
At the specified times, the indicator captures the High and Low prices of the candles.
The ATR is calculated and adjusted by the user-defined ATR Multiplier to determine buffers above the High and below the Low.
The Risk-to-Reward ratio is applied to calculate the Take Profit levels.
All of these values are displayed on the chart and updated in real time. The horizontal table ensures quick reference to all the key levels without cluttering the main chart.
Use Cases
Trend Trading: Identify potential support and resistance levels based on specific timeframes and adjust TP targets using ATR.
Scalping: Use the ATR and R:R calculations to target precise entry and exit points.
Market Opens: Track key market opens (such as New York and London) with candle times that reflect your trading strategy.
Conclusion
The High and Low with Horizontal Table indicator is a powerful tool for traders looking to combine precise candle-based level tracking with ATR-based risk management. By displaying key levels and TP targets in a clear, tabular format, traders can quickly assess and act on key price levels throughout their trading sessions.
Economic Crises by @zeusbottradingEconomic Crises Indicator by @zeusbottrading
Description and Use Case
Overview
The Economic Crises Highlight Indicator is designed to visually mark major economic crises on a TradingView chart by shading these periods in red. It provides a historical context for financial analysis by indicating when major recessions occurred, helping traders and analysts assess the performance of assets before, during, and after these crises.
What This Indicator Shows
This indicator highlights the following major economic crises (from 1953 to 2020), which significantly impacted global markets:
• 1953 Korean War Recession
• 1957 Monetary Tightening Recession
• 1960 Investment Decline Recession
• 1969 Employment Crisis
• 1973 Oil Crisis
• 1980 Inflation Crisis
• 1981 Fed Monetary Policy Recession
• 1990 Oil Crisis and Gulf War Recession
• 2001 Dot-Com Bubble Crash
• 2008 Global Financial Crisis (Great Recession)
• 2020 COVID-19 Recession
Each of these periods is shaded in red with 80% transparency, allowing you to clearly see the impact of economic downturns on various financial assets.
How This Indicator is Useful
This indicator is particularly valuable for:
✅ Comparative Performance Analysis – It allows traders and investors to compare how different assets (e.g., Gold, Silver, S&P 500, Bitcoin) performed before, during, and after major economic crises.
✅ Identifying Market Trends – Helps recognize recurring patterns in asset price movements during times of financial distress.
✅ Risk Management & Strategy Development – Understanding how markets reacted in the past can assist in making better-informed investment decisions for future downturns.
✅ Gold, Silver & Bitcoin as Safe Havens – Comparing precious metals and cryptocurrencies against traditional stocks (e.g., SPY) to analyze their performance as hedges during economic turmoil.
How to Use It in Your Analysis
By overlaying this indicator on your Gold, Silver, SPY, and Bitcoin chart (for example), you can quickly spot historical market reactions and use that insight to predict possible behaviors in future downturns.
⸻
How to Apply This in TradingView?
1. Click on Use on chart under the image.
2. Overlay it with Gold ( OANDA:XAUUSD ), Silver ( OANDA:XAGUSD ), SPY ( AMEX:SPY ), and Bitcoin ( COINBASE:BTCUSD ) for comparative analysis.
⸻
Conclusion
This indicator serves as a powerful historical reference for traders analyzing asset performance during economic downturns. By studying past crises, you can develop a data-driven investment strategy and improve your market insights. 🚀📈
Let me know if you need any modifications or enhancements!
Dual SuperTrend w VIX Filter - Strategy [presentTrading]Hey everyone! Haven't been here for a long time. Been so busy again in the past 2 months. I recently started working on analyzing the combination of trend strategy and VIX, but didn't get outstanding results after a few tries. Sharing this tool with all of you in case you have better insights.
█ Introduction and How it is Different
The Dual SuperTrend with VIX Filter Strategy combines traditional trend following with market volatility analysis. Unlike conventional SuperTrend strategies that focus solely on price action, this experimental system incorporates VIX (Volatility Index) as an adaptive filter to create a more context-aware trading approach. By analyzing where current volatility stands relative to historical norms, the strategy adjusts to different market environments rather than applying uniform logic across all conditions.
BTCUSD 6hr Long Short Performance
█ Strategy, How it Works: Detailed Explanation
🔶 Dual SuperTrend Core
The strategy uses two SuperTrend indicators with different sensitivity settings:
- SuperTrend 1: Length = 13, Multiplier = 3.5
- SuperTrend 2: Length = 8, Multiplier = 5.0
The SuperTrend calculation follows this process:
1. ATR = Average of max(High-Low, |High-PreviousClose|, |Low-PreviousClose|) over 'length' periods
2. UpperBand = (High+Low)/2 - (Multiplier * ATR)
3. LowerBand = (High+Low)/2 + (Multiplier * ATR)
Trend direction is determined by:
- If Close > previous LowerBand, Trend = Bullish (1)
- If Close < previous UpperBand, Trend = Bearish (-1)
- Otherwise, Trend = previous Trend
🔶 VIX Analysis Framework
The core innovation lies in the VIX analysis system:
1. Statistical Analysis:
- VIX Mean = SMA(VIX, 252)
- VIX Standard Deviation = StdDev(VIX, 252)
- VIX Z-Score = (Current VIX - VIX Mean) / VIX StdDev
2. **Volatility Bands:
- Upper Band 1 = VIX Mean + (2 * VIX StdDev)
- Upper Band 2 = VIX Mean + (3 * VIX StdDev)
- Lower Band 1 = VIX Mean - (2 * VIX StdDev)
- Lower Band 2 = VIX Mean - (3 * VIX StdDev)
3. Volatility Regimes:
- "Very Low Volatility": VIX < Lower Band 1
- "Low Volatility": Lower Band 1 ≤ VIX < Mean
- "Normal Volatility": Mean ≤ VIX < Upper Band 1
- "High Volatility": Upper Band 1 ≤ VIX < Upper Band 2
- "Extreme Volatility": VIX ≥ Upper Band 2
4. VIX Trend Detection:
- VIX EMA = EMA(VIX, 10)
- VIX Rising = VIX > VIX EMA
- VIX Falling = VIX < VIX EMA
Local performance:
🔶 Entry Logic Integration
The strategy combines trend signals with volatility filtering:
Long Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bullish (trend = 1)
- AND selected VIX filter condition must be satisfied
Short Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bearish (trend = -1)
- AND selected VIX filter condition must be satisfied
Available VIX filter rules include:
- "Below Mean + SD": VIX < Lower Band 1
- "Below Mean": VIX < VIX Mean
- "Above Mean": VIX > VIX Mean
- "Above Mean + SD": VIX > Upper Band 1
- "Falling VIX": VIX < VIX EMA
- "Rising VIX": VIX > VIX EMA
- "Any": No VIX filtering
█ Trade Direction
The strategy allows testing in three modes:
1. **Long Only:** Test volatility effects on uptrends only
2. **Short Only:** Examine volatility's impact on downtrends only
3. **Both (Default):** Compare how volatility affects both trend directions
This enables comparative analysis of how volatility regimes impact bullish versus bearish markets differently.
█ Usage
Use this strategy as an experimental framework:
1. Form a hypothesis about how volatility affects trend reliability
2. Configure VIX filters to test your specific hypothesis
3. Analyze performance across different volatility regimes
4. Compare results between uptrends and downtrends
5. Refine your volatility filtering approach based on results
6. Share your findings with the trading community
This framework allows you to investigate questions like:
- Are uptrends more reliable during rising or falling volatility?
- Do downtrends perform better when volatility is above or below its historical average?
- Should different volatility filters be applied to long vs. short positions?
█ Default Settings
The default settings serve as a starting point for exploration:
SuperTrend Parameters:
- SuperTrend 1 (Length=13, Multiplier=3.5): More responsive to trend changes
- SuperTrend 2 (Length=8, Multiplier=5.0): More selective filter requiring stronger trends
VIX Analysis Settings:
- Lookback Period = 252: Establishes a full market cycle for volatility context
- Standard Deviation Bands = 2 and 3 SD: Creates statistically significant regime boundaries
- VIX Trend Period = 10: Balances responsiveness with noise reduction
Default VIX Filter Selection:
- Long Entry: "Above Mean" - Tests if uptrends perform better during above-average volatility
- Short Entry: "Rising VIX" - Tests if downtrends accelerate when volatility is increasing
Feel Free to share your insight below!!!
Vortex Sniper Elite @DaviddTechVortex Sniper Elite @DaviddTech
Vortex Sniper Elite @DaviddTech is a comprehensive trading system designed to deliver high-probability trade setups across all market conditions. By seamlessly integrating adaptive baseline detection, squeeze momentum analysis, and advanced vortex filtering, this indicator provides traders with a complete edge-based approach to market analysis.
🔥 Key Features:
Complete Model Integration:
Baseline: Advanced McGinley Dynamic indicator for superior trend detection
Confirmation #1: Enhanced TTM Squeeze for momentum and volatility analysis
Confirmation #2: Dual Tether Line system for dynamic market structure mapping
Volatility Filter: Specialized Vortex indicator for precision entry timing
Adaptive Stop Loss: Proprietary trailing stop system based on ATR calculations
Advanced Visual Dashboard:
Real-time component analysis with strength metrics
Color-coded signal status for immediate trade assessment
Squeeze state monitoring with visual confirmation
Vortex divergence strength percentage for optimal entries
Premium Signal Detection:
Multi-timeframe compatible system for scaling strategies
Automated buy/sell signals at optimal entry points
Clear exit signals for risk management
Squeeze momentum visualization for timing precision
DaviddTech Alpha Edge System:
Gradient transparency algorithm for visual trend strength confirmation
Bar coloring system based on momentum direction
Background highlighting for active signal states
Dashboard for ease of understanding
💰 Trading Applications:
Sniper Entries: Utilize the Vortex confirmation to pinpoint precise entry points
Trend Alignment: McGinley baseline establishes the primary market direction
Volatility Awareness: TTM Squeeze identifies optimal market conditions
Risk Management: Set stops based on the adaptive trailing stop system
Position Management: Monitor dashboard metrics for changing market conditions
Vortex Sniper Elite @DaviddTech represents the culmination of the DaviddTech methodology in one cohesive system. Whether you're a day trader seeking precise entries or a swing trader looking for significant market moves, this indicator delivers the structured approach needed to consistently extract profits from any market condition.
DaviddTech Trading System Explained:
The DaviddTech methodology follows a strict component-based approach:
The Baseline establishes the primary trend direction, acting as your first filter
Confirmation Indicators validate potential trade setups only when aligned with the baseline
The Volatility/Volume Indicator ensures you only enter trades with sufficient directional momentum
A Trailing Stop System provides mathematically optimized exit points
Vortex Sniper Elite integrates all these components into a visually intuitive system that eliminates guesswork and enforces disciplined trading decisions.
Recommended Settings:
This indicator comes pre-configured with optimized parameters, but feel free to adjust based on your timeframe:
For day trading: Reduce Baseline and TTM lengths by 30-40%
For swing trading: Consider increasing Tether and Trail Stop lengths by 25-50%
For scalping: Focus on Vortex confirmation with shorter timeframes
Best Practices:
Wait for all components to align before entering trades
Use the dashboard to evaluate the strength of each signal
Monitor squeeze states for potential volatility expansion
Let the trailing stop system handle your exits
Backtest across multiple timeframes to find your optimal settings
UT Bot Alerts – Time Filtered with ExitsThis indicator combines several technical approaches to generate precise entry and exit signals, while incorporating time filters that ensure signals are sent only during desired time windows and with defined cooldown periods. It is based on the original idea by QuantNomad.
Main Components:
ATR-based Trailing Stop:
Using the Average True Range (ATR) and an adjustable multiplier ("Key Value"), a dynamic trailing stop is calculated that adapts to the current price. This trailing stop forms the basis for the signal generation.
EMA-based Entry Signals:
A very short exponential moving average (EMA, period 1) is used in combination with the trailing stop to identify clear buy (long) and sell (short) signals via crossovers. An additional buffer zone helps reduce false signals.
Persistent Trade State:
The current state (long, short, or neutral) is maintained so that the system remains in the trend until a new signal is generated.
Linear Regression as Reference:
A linear regression line computed over a defined period serves as a reference for determining exit levels.
Exit Signals with Delay:
Exit signals are generated when the price deviates from the linear regression line by a defined percentage (Exit Signal Deviation) and the condition persists for at least a specified number of bars (Exit Signal Delay). Only one exit signal is issued per trade to avoid excessive exits.
Time Filters and Cooldown:
Session Filter: A user-defined session (e.g., "2200-0500") can disable signals during specified periods.
Cooldown Period: After a signal is triggered, a cooldown phase (in minutes) can be set during which no new signals are sent.
Visual Display and Alerts:
Entry Signals: Buy and sell signals are displayed as labels (green for long, red for short).
Exit Signals: Exit signals appear as triangles, with the exit long signal text displayed in white.
Reference Lines:
The upper exit level (Exit Short Level) is drawn as a solid line in turquoise (color.aqua).
The lower exit level (Exit Long Level) is drawn as a solid line in yellow.
Additionally, the ATR trailing stop and the linear regression line are clearly plotted on the chart.
Alerts can be configured for all signal types.
In Summary:
The indicator delivers precise entry signals based on an ATR trailing stop and a short EMA, supplemented by dynamic exit levels determined via linear regression. With integrated time filters (session and cooldown) and a flexible exit mechanism, this indicator offers controlled trade management—ideal for traders who wish to receive signals only during desired time periods.
Original Author: QuantNomad
