ATR Trend Strategy + KAMA FilterATR Trend Strategy with XMA KAMA Filter
Strategy Description
This strategy combines a dynamic ATR trailing stop with an XMA KAMA filter to precisely detect trends and generate reliable entry signals.
It uses a two-step trend confirmation system:
1️⃣ ATR Trailing Stop
Based on the Average True Range (ATR), this trailing stop automatically adapts to market volatility.
It determines whether the market is in a bullish or bearish phase by comparing the current price to the ATR trailing stop level.
2️⃣ KAMA Filter (XMA Version)
KAMA (Kaufman Adaptive Moving Average) provides an additional trend filter.
This XMA version of KAMA avoids the traditional fast/slow parameters and instead dynamically calculates the ratio of signal to market "noise", helping to reduce false signals and over-sensitivity.
How It Works
Long Signal:
Price is above both the ATR trailing stop and the KAMA (XMA) line.
Short Signal:
Price is below both the ATR trailing stop and the KAMA (XMA) line.
What Makes This Strategy Different?
Unlike many classic strategies that rely on simple moving averages, this system uses an adaptive KAMA filter that responds better to changing market conditions and volatility.
The ATR trailing stop automatically adjusts to current market volatility, providing an extra layer of protection against false breakouts.
By combining these tools, this strategy offers:
Precise trend filtering
Avoidance of false breakouts and noise
Dynamic adjustment to market conditions
How to Use
Apply the strategy to any market chart (Forex, stocks, crypto, indices, etc.)
Adjust the ATR and KAMA parameters to match your trading plan
Use the TradingView Strategy Tester to evaluate performance before live trading
Who Is This For?
Swing traders and trend followers
Traders looking for clean, filtered signals with reduced noise
Medium-term traders seeking a system that adapts to market dynamics
Additional Info: Heikin Ashi Compatibility
This strategy is fully compatible with Heikin Ashi candles.
By applying it to a chart with Heikin Ashi candles, traders can further reduce market noise and enhance trend visualization.
The combination of ATR trailing stop + XMA KAMA filter + Heikin Ashi smoothing provides an even cleaner trend-following system, minimizing false signals and improving decision-making clarity.
Moving Averages
LANZ Strategy 5.0 [Backtest]🔷 LANZ Strategy 5.0 — Rule-Based BUY Logic with Time Filter, Session Limits and Auto SL/TP Execution
This is the backtest version of LANZ Strategy 5.0, built as a strategy script to evaluate real performance under fixed intraday conditions. It automatically places BUY and SELL trades based on structured candle confirmation, EMA trend alignment, and session-based filters. The system simulates real-time execution with precise Stop Loss and Take Profit levels.
📌 Built for traders seeking to simulate clean intraday logic with fully automated entries and performance metrics.
🧠 Core Logic & Strategy Conditions
✅ BUY Signal Conditions:
Price is above the EMA200
The last 3 candles are bullish (close > open)
The signal occurs within the defined session window (NY time)
Daily trade limit has not been exceeded
If all are true, a BUY order is executed at market, with SL and TP set immediately.
🔻 SELL Signal Conditions (Optional):
Exactly inverse to BUY (below EMA + 3 bearish candles). Disabled by default.
🕐 Operational Time Filter (New York Time)
You can fully customize your intraday window:
Start Time: e.g., 01:15 NY
End Time: e.g., 16:00 NY
The system evaluates signals only within this range, even across midnight if configured.
🔁 Trade Management System
One trade at a time per signal
Trades include a Stop Loss (SL) and Take Profit (TP) based on pip distance
Trade result is calculated automatically
Each signal is shown with a triangle marker (BUY only, by default)
🧪 Backtest Accuracy
This version uses:
strategy.order() for entries
strategy.exit() for SL and TP
strategy.close_all() at the configured manual closing time
This ensures realistic behavior in the TradingView strategy tester.
⚙️ Flow Summary (Step-by-Step)
On every bar, check:
Is the time within the operational session?
Is the price above the EMA?
Are the last 3 candles bullish?
If conditions met → A BUY trade is opened:
SL = entry – X pips
TP = entry + Y pips
Trade closes:
If SL or TP is hit
Or at the configured manual close time (e.g., 16:00 NY)
📊 Settings Overview
Timeframe: 1-hour (ideal)
SL/TP: Configurable in pips
Max trades/day: User-defined (default = 99 = unlimited)
Manual close: Adjustable by time
Entry type: Market (not limit)
Visuals: Plotshape triangle for BUY entry
👨💻 Credits:
💡 Developed by: LANZ
🧠 Strategy logic & execution: LANZ
✅ Designed for: Clean backtesting, clarity in execution, and intraday logic simulation
LANZ Strategy 5.0🔷 LANZ Strategy 5.0 — Intraday BUY Signals, Dynamic Lot Size per Account, Real-Time Dashboard and Smart Execution
LANZ Strategy 5.0 is a powerful intraday tool designed for traders who need a visual-first, data-backed BUY system, enhanced with risk-aware lot size calculation and a real-time performance dashboard. This indicator intelligently detects strong momentum setups and provides visual and statistical clarity throughout the session.
📌 This is an indicator, not a strategy — It does not place trades automatically but provides precise conditions, alerts, and visual guides to support execution.
🧠 Core Logic & Features
BUY Entry Conditions (Signal Engine)
A BUY signal is triggered when:
The current price is above the EMA200 (trend filter)
The last 3 candles are bullish (candle body close > open)
You are within the defined session window (NY time)
When all conditions are met and you haven’t reached the daily trade limit, a signal appears on the chart and an optional alert is triggered.
Operational Hours Filter (NY Time)
You define:
Start time (e.g., 01:15 NY)
End time (e.g., 16:00 NY)
The system only evaluates and executes signals within this period. If a BUY setup occurs outside the window, it’s ignored. The chart is also highlighted with a transparent teal background to visually show active trading hours.
Lot Size Panel with Per-Account Risk Management
Designed for traders managing multiple accounts or capital sources. You can enable up to 5 accounts, each with:
Its own capital
Its own risk percentage per trade
The system uses the defined SL in pips, plus the instrument’s pip value, to calculate the lot size per account. All values are shown in a dedicated panel at the bottom-right, automatically updating with each new trade.
The emojis (🐣🦊🦁🐲🐳) distinguish each account visually.
Trade Visualization with Customizable Lines
When a signal is triggered:
An Entry Point (EP) line is drawn at the candle’s close.
A Stop Loss (SL) line is placed X pips below the entry.
A Take Profit (TP) line is placed Y pips above the entry.
All three lines are fully customizable in style, color, and thickness. You define how many bars the lines should extend.
Outcome Tracking & Real-Time Dashboard
Each trade outcome is measured:
SL hit = –1.00%
TP hit = +3.00%
Manual close = calculated dynamically based on price at close time
Each result is labeled on the chart near its level, and stored.
The top-right dashboard updates in real time:
✅ Number of trades
📈 Cumulative % gain/loss of the day (color-coded)
Alerts You Can Trust:
You’ll get a Buy Alert when a valid signal is formed
You’ll get a Trade Executed Alert when the visual operation is plotted
You’ll get a SL/TP Hit Alert with price and result
You’ll get a Manual Close Alert if the configured time is reached and the trade is still active
⚙️ Step-by-Step Execution Flow
At every bar, the system checks:
Are we within the session time window?
Is price above EMA?
Are the last 3 candles bullish?
✅ If yes:
A BUY signal is plotted
Entry/SL/TP lines are drawn
Lot sizes are calculated and displayed
Trade is added to the daily count
🕐 At the configured Manual Close time (e.g., 16:00 NY):
If the trade is still open, it's closed
A label is added with the exact result in %
💡 Ideal For:
Intraday traders who operate within fixed time sessions
Traders managing multiple accounts or capital pools
Anyone who wants full visual clarity of every decision point
Traders who appreciate dynamic lot size calculation and clean execution tracking
👨💻 Credits:
💡 Developed by: LANZ
🧠 Strategy concept & execution model: LANZ
🧪 Tested on: 1H charts with visual-only execution
📈 Designed for: Clarity, adaptability, and full intraday control
TeeLek-BestPositionThis indicator is used to indicate the best buying and selling points.
This indicator will calculate the best buying points (blue) and selling points (orange). The working principle is that the blue point is the point where the RSI is Over Sold, the orange point is the point where the RSI is Over Bought. After that, we will use the Highest Line 100 and Lowest Line 100 to filter the points another layer. And because when Over Bought/Over Sold occurs, there will be continuous signals that are repeated, causing confusion. Therefore, there is a feature to leave a time frame. Set the default value to 24 hours. If a signal occurs, it will be left out.
The appropriate point for buying is:
The point where Over Sold occurs and Closes lower than the Lowest Line 100.
Leave a time frame for 24 hours before a new signal occurs.
The appropriate point for selling is:
The point where Over Bought occurs and Closes higher than the Highest Line 100.
Leave a time frame for 24 hours before a new signal occurs.
It helps us to gradually buy and collect/sell for profit easily without confusion.
อินดิเคเตอร์นี้ใช้ สำหรับบอกจุดซื้อจุดขายที่ดีที่สุด
อินดิเคเตอร์นี้ จะคำนวณจุดซื้อ (สีฟ้า) และจุดขาย (สีส้ม) ที่ดีที่สุดมาให้ โดยหลักการทำงาน คือ จุดสีฟ้า คือจุดที่ RSI Over Sold จุดสีส้ม คือจุดที่ RSI Over Bought หลังจากนั้นเราจะใช้เส้น Highest Line 100 และ Lowest Line 100 เพื่อกรองจุดอีกชั้นหนึ่ง และเนื่องจากเมื่อเกิด Over Bought/Over Sold แล้ว มันจะเกิดสัญญาณต่อเนื่องซ้ำๆ ทำให้สับสน จึงได้มีฟีเจอร์ในการเว้นระยะเวลา ตั้งค่าไว้เริ่มต้นที่ 24 ชั่วโมง ถ้าเกิดสัญญาณแล้วก็จะเว้นระยะออกไป
จุดที่เหมาะสมกับการซื้อ คือ
จุดที่เกิด Over Sold และ Close ต่ำกว่าเส้น Lowest Line 100
เว้นระยะไป 24 ชั่วโมงจึงจะเกิดสัญญาณใหม่อีกครั้ง
จุดที่เหมาะสมกับการขาย คือ
จุดที่เกิด Over Bought และ Close สูงกว่าเส้น Highest Line 100
เว้นระยะไป 24 ชั่วโมงจึงจะเกิดสัญญาณใหม่อีกครั้ง
ช่วยให้เราสามารถ ทยอยซื้อเก็บสะสม/ทยอยขายทำกำไร ได้ง่ายไม่สับสน
7 EMA CloudThe "7 EMA Cloud" script was likely flagged because it reuses the core concept of EMA clouds (shading areas between multiple EMAs to visualize trends, support/resistance, and momentum) without crediting the original inventor, Ripster (author ripster47 on TradingView). This concept is prominently associated with Ripster's "EMA Clouds" indicator, which popularized filling spaces between EMA pairs for trading signals. TradingView's house rules require crediting authors when reusing open-source ideas or code, even if not a direct copy-paste, and mandate significant improvements where the original forms a small proportion of the script. Your version adds features like multiple color modes (Classic rainbow, Monochrome, Heatmap), customizable signal sizes, and crossover alerts between the first and last EMA, which are enhancements, but the foundational EMA ribbon/cloud idea needs explicit attribution in the description and ideally code comments to comply.
Additionally, the description might be seen as not fully self-contained (e.g., it uses promotional language like "Advanced" and "Adaptive Trend & Signal Suite" without deeply explaining calculations or use cases), potentially violating rules against relying on code or external references for clarity.
To fix this, republish a new version with proper credits, ensure the description is detailed and standalone, and emphasize your improvements (e.g., the 7 Fibonacci-based EMAs, color modes, and signals). Do not reuse the flagged script—create a fresh one. Here's a compliant description you can use:
7 EMA Cloud Indicator
Overview
The 7 EMA Cloud overlays seven exponential moving averages (EMAs) with Fibonacci-inspired periods and fills the spaces between them with customizable "clouds" to visually represent trend strength, direction, and convergence/divergence. It includes crossover signals between the shortest and longest EMAs for potential entry/exit points, with adjustable visual modes for different trading styles. This helps traders identify bullish/bearish momentum, support/resistance zones, and overextensions in trending or ranging markets.
This script builds on the EMA cloud concept popularized by Ripster (ripster47) in their "EMA Clouds" indicatortradingview.com, where areas between EMA pairs are shaded for trend analysis. Improvements include a fixed set of 7 Fibonacci EMAs, multiple color schemes (Classic rainbow, Monochrome grayscale, Heatmap for intensity), user-selectable signal sizes, and transparency controls. Released under the Mozilla Public License 2.0.
Key Features
7 EMAs with Clouds: EMAs at periods 8, 13, 21, 34, 55, 89, and 144; clouds filled between consecutive pairs to show alignment (tight clouds for consolidation, wide for trends).
Color Modes:
Classic: Rainbow gradients (blue to purple) for vibrant distinction.
Monochrome: Grayscale shades for minimalistic charts.
Heatmap: Red-to-blue spectrum to highlight "hot" (volatile) vs. "cool" (stable) areas.
Crossover Signals: Triangle markers (up for bullish, down for bearish) when the shortest EMA crosses the longest; sizes from Tiny to Huge.
Display Options: Toggle EMA lines on/off, adjust cloud transparency (0-100%), and enable alerts for crossovers.
Alerts: Notifications for "Bullish EMA Crossover" (EMA1 > EMA7) and "Bearish EMA Crossover" (EMA1 < EMA7).
How It Works
EMA Calculations: Each EMA is computed using ta.ema(close, period), with periods based on Fibonacci sequences for natural market rhythm alignment.
Clouds: Filled via fill() between plot pairs, with colors derived from the selected mode and transparency applied.
Signals: Detected with ta.crossover(ema1, ema7) and ta.crossunder(ema1, ema7), plotted as shapes with mode-specific colors (e.g., green/lime for bull, red for bear).
Customization: Inputs grouped into EMA Settings (periods), Display Settings (visibility, colors, transparency), and Signal Settings (size).
Customization Options
EMA Periods: Individually adjustable (defaults: 8, 13, 21, 34, 55, 89, 144).
Show EMAs: Toggle to hide lines and focus on clouds.
Cloud Transparency: 0% for solid fills, 100% for invisible (default 80%).
Color Mode: Switch between Classic, Monochrome, or Heatmap.
Signal Size: Tiny, Small, Normal, Large, or Huge for crossover markers.
Ideal Use Case
Suited for swing or trend-following on any timeframe (e.g., 15m-1h for intraday, daily for swings) and assets (stocks, forex, crypto, futures). Enter long on bullish crossovers above aligned clouds; exit on bearish signals or cloud widenings. Use Monochrome for clean charts or Heatmap for volatility emphasis. Combine with volume or RSI for confirmation.
Why It's Valuable
By expanding Ripster's EMA cloud idea with multi-mode visuals and integrated signals, this indicator provides a versatile, at-a-glance tool for trend assessment—reducing noise while highlighting key shifts. It's more adaptive than basic MA ribbons, with Fibonacci periods adding a layer of harmonic analysis.
Note: Test on historical data or demo accounts. Not financial advice—incorporate risk management. Optimized for Pine Script v5; some features may vary on non-overlay charts.
TMA Lock - Triple Moving Averages with Timeframe ControlKeep your 50, 100, and 200-day moving averages consistent across all chart timeframes! No more recalculating MAs when switching from daily to hourly charts.
Key Features:
Timeframe Lock - MAs stay true to your selected timeframe (daily, weekly, etc.) regardless of chart view
Fully Customizable - Adjust periods, colors, line styles, and smoothing strength
Auto-Calculated Pivot Line/Zone (Based on Time Range)Automatically Calculated Pivot Line/Zone
Harness the power of precision with this Custom Time Range Average Line indicator—designed to pinpoint key equilibrium and pivot levels within consolidation zones after a breakout. Select any start and end time to capture the critical price action shaping the market structure between swings, and calculate the true average price using your choice of open, close, high, low, or midpoint.
Once the defined period concludes, the indicator freezes the average and extends it forward as a clear horizontal ray, acting as a powerful reference for fair value and market balance. This dynamic line shines brightest within consolidation phases, helping traders identify pivot points and equilibrium zones that often serve as magnets for price after a breakout.
Customize the line width to suit your style—use a thinner line width input for a precise single average line, or increase the width to visually represent a broader range or zone. Fully adjustable line color and thickness options ensure this tool integrates seamlessly into any chart setup.
Elevate your trading edge by visualizing the hidden balance points between market swings—turning consolidation chaos into clear, strategic opportunities!
MACD + 1m EMA Zone FilterFeature Description
Run on Any Chart Works on any timeframe — 5m, 15m, 1h, etc.
MACD Crosses Detected on the current chart's timeframe
EMA Logic All EMA20/50/100/200 come from 1-minute timeframe
Buy Signal MACD crossover + all EMAs (1m) above EMA200
Sell Signal MACD crossunder + all EMAs (1m) below EMA200
Chart Arrows BUY/SELL arrows plotted at each signal
Alerts Configurable alerts for Buy/Sell conditions
STMD Indicator PROThe STMD Indicator PRO is designed for traders looking to capture strong trends using moving average alignment and the powerful Elephant Bar pattern, popularized by Oliver Velez.
📋 How it works?
✔ Simple Moving Averages:
SMA 8 (Black)
SMA 13 (Purple)
SMA 20 (Blue)
SMA 200 (Red, optional filter)
✔ Signal conditions:
All SMAs aligned and trending in the same direction
Price near the short-term SMAs
A strong candle (Elephant Bar) with a big body and small opposite wick
Signal only on the first or second consecutive candle of the same color
✅ Features
✔ Background color showing trend bias
✔ Alerts ready: STMD Buy and STMD Sell
✔ Optional SMA 200 filter for higher timeframe confirmation
📌 Disclaimer: This script is for educational purposes only. Not financial advice.
Weekly EMA 9/20/50Weekly EMA for 9, 20 and 50 weeks for any security.
This will show the trends that are otherwise not visible on the daily chart.
Glamour ETF Index vs. QQQ mit MA10, MA20 & MA50Stan Weinstein uses the term "Glamour Index" as a sentiment indicator to assess how speculative or overheated the stock market is. The Glamour Index measures the relationship between so-called "glamour stocks" (trendy stocks, hyped stocks with high media attention and sometimes extreme price increases) and solid, more conservative stocks. Weinstein uses this index to: 1) Analyze market sentiment – particularly whether the market is in a speculative euphoria phase.
2) Identify warning signs of a potential top formation or an impending downturn.
My basket compares performance against the QQQ (alternatively, SPY or any other benchmark is also possible).
My basket consists of the ETFs in the ARK universe, as well as other growth ETFs such as IPO, FFTY, and QQQJ.
TeeLek-HedgingLineIf we are DCA some assets and it happens to be in a downtrend, sitting and waiting is the best way, but it is not easy to do. There are other ways that allow us to buy DCA and keep collecting more. While the market is falling, don't be depressed. The more you buy, the more it drops. Should you continue buying? Plus, if it goes back to an uptrend, you will also get extra profit. Let's go check it out.
ถ้าเรา DCA ทรัพย์สินอะไรซักอย่างนึงอยู่ แล้วมันดันเป็นขาลงพอดี จะนั่งรอเฉยๆ เป็นวิธีที่ดีที่สุด แต่ไม่ได้ทำกันได้ง่ายๆ นะ ยังมีวิธีอื่นอีก ที่ให้เราสามารถ ซื้อ DCA เก็บของเพิ่มได้เรื่อยๆ ระหว่างที่ตลาดร่วง ไม่จิตตก ยิ่งซื้อ ยิ่งลง จะซื้อต่อดีไหม? แถมถ้า กลับมาเป็นขาขึ้น ยังมีกำไรแถมให้ด้วยนะ ไปหาดูกัน
Multi-Timeframe EMAs & WMAsMulti-Timeframe EMAs & WMAs (MTF EMAWMA)
The Multi-Timeframe EMAs & WMAs (MTF EMAWMA) indicator is a comprehensive tool designed to provide a multi-dimensional view of market trends by plotting various Exponential Moving Averages (EMAs) and Weighted Moving Averages (WMAs) from different timeframes onto your current chart. This allows traders to quickly assess confluent support and resistance levels, identify trend strength, and gain a broader market perspective without switching timeframes.
Key Features:
Multiple EMAs and WMAs:
This indicator includes:
- EMA 200: Plotted from H1 and M15 timeframes.
- EMA 100: Plotted from H1, M30, and M15 timeframes.
- EMA 50: Plotted from H4, H1, M30, and M15 timeframes.
- WMA 720: Plotted from H4, H1, M30, M15, and M1 timeframes.
Multi-Timeframe Analysis: By displaying moving averages from various timeframes, the indicator helps in understanding the interplay of different trends and their potential impact on price action.
Visual Distinction : Each moving average type and its timeframe representation are color-coded and styled (solid vs. dashed lines) for easy identification and clarity on the chart.
EMA 200: Dark Red
EMA 100: Cyan/Teal
EMA 50: SaddleBrown
WMA 720: Orange
Recommended Usage:
This indicator is specifically tailored for XAU/USD (Gold). It is intended to be used as a confluence tool to complement your existing trading strategies and indicators. It is not designed to be used solely as an entry or exit signal. Instead, leverage the information provided by these multi-timeframe moving averages to:
- Identify major trend directions: Observe the alignment and slope of longer-term moving averages.
- Spot potential support and resistance zones: Price often reacts to these key moving average levels from higher timeframes.
- Confirm trade bias: Use the higher timeframe moving averages to confirm the direction of your trades on lower timeframes.
- Enhance risk management: Understand where strong levels might exist to place stop-losses or take-profits.
Always combine this indicator with other forms of analysis, such as price action, chart patterns, volume analysis, or other technical indicators, to make informed trading decisions.
Remark: The script and description were created by AI.
StockMarketWolf 9/20 EMA VWAP MACD StrategyThis strategy is all about catching momentum in the market by combining some of the most trusted technical indicators—moving averages, VWAP, and MACD—to help you spot better trade opportunities with more confidence.
Here’s the simple idea:
Use the 9 and 20 EMA crossover to spot when the short-term trend is turning up or down.
Check that the price is trading above or below the VWAP (the average price weighted by volume for the day) to confirm the overall market sentiment.
Use the MACD to make sure momentum is supporting your trade—no point jumping in if momentum isn’t backing it up.
How it works:
Go long when the 9 EMA crosses above the 20 EMA, price is above VWAP, and MACD is signaling positive momentum.
Go short when the 9 EMA crosses below the 20 EMA, price is below VWAP, and MACD shows bearish momentum.
Exit the trade when these signals flip or momentum fades.
Why it’s useful:
It helps you avoid trading against the trend by using the VWAP filter.
The MACD momentum check cuts down on fake breakouts.
It’s straightforward and works well on popular day trading charts like the 5-minute timeframe.
Great for high-volume stocks and futures like SPY, QQQ, or ES futures.
Things to keep in mind:
It doesn’t throw out signals all day — you get quality over quantity.
Like any strategy, it’s not perfect and can struggle during sideways markets.
Sticking to the rules and having patience is key.
All in all, this is a solid, no-nonsense strategy that mixes trend and momentum in a way that makes trading feel a bit more clear and less noisy. Perfect if you want a systematic approach without overcomplicating things.
Penny Stock Breakout ScreenerLive Conditions Your Script Is Monitoring:
🔵 Bullish (Green Background = Entry Opportunity):
Breakout Pivot High
✅ Trigger: Price is breaking above the highest close of the last 20 candles (shows momentum).
🔔 Alert: "Price breaking above recent pivot high!"
Price Above VWAP
✅ Trigger: Price is currently above the VWAP (shows buyers are in control).
🔔 Alert: "Price is above VWAP - bullish control!"
EMA 9 > EMA 20 Crossover
✅ Trigger: 9-period EMA crosses above 20 EMA (trend shifting bullish).
🔔 Alert: "EMA9 has crossed above EMA20"
RSI Recovery
✅ Trigger: RSI (14) crosses above 35, indicating a bounce from oversold.
🔔 Alert: "RSI is rising from oversold - bounce incoming"
Volume Spike
✅ Trigger: Current volume is 1.5x greater than 20-day average (buying interest).
🔔 Alert: "Volume > 1.5x 20-day avg - possible breakout"
3 EMA Indicator3 EMA Indicator Description
The 3 EMA Indicator is a customizable TradingView indicator designed to plot three Exponential Moving Averages (EMAs) on a price chart. It helps traders analyze trends, identify potential trading signals, and monitor price momentum through the interaction of three EMAs with user-defined periods.
Features
Three EMAs: Displays three EMAs with default periods of 9, 21, and 50, which can be adjusted via input settings.
Customizable Parameters:
Source: Choose the price data (e.g., close, open, hlc3) for EMA calculations (default: close).
EMA Periods: Set custom lengths for each EMA (minimum 1).
Colors: Assign unique colors to each EMA for clear visualization (default: red, blue, green).
Line Width: Adjust the thickness of EMA lines (default: 2).
Dynamic Label: A label on the last bar displays the configured EMA periods (e.g., "EMA1: 9, EMA2: 21, EMA3: 50") for easy reference.
Overlay: Plots directly on the price chart, making it intuitive to compare EMAs with price action.
Usage
Trend Analysis: Use the relative positions of the EMAs to identify bullish (e.g., shorter EMA above longer EMA) or bearish trends.
Crossover Signals: Monitor EMA crossovers (e.g., 9-period EMA crossing above the 21-period EMA) for potential buy or sell signals.
Customization: Adjust periods, colors, and line width through the indicator’s settings to match your trading strategy.
How to Apply
Open TradingView’s Pine Editor.
Copy and paste the indicator’s Pine Script code.
Add the indicator to your chart.
Customize settings (periods, source, colors, line width) via the indicator’s input panel.
This indicator is ideal for traders seeking a simple yet flexible tool to track price trends and momentum using multiple EMAs.
Multi-Timeframe 200 SMAs (2m, 5m, 10m, 1H, 1D)Intraday 200 SMA Multi-Timeframe Overlay
This indicator displays the 200-period Simple Moving Averages (SMA) from the 2-minute, 5-minute, 10-minute, 1-hour, and 1-day timeframes on any chart — providing powerful multi-timeframe context for intraday trading.
Each moving average is color-coded and labeled for quick reference, helping traders identify dynamic support and resistance levels across key timeframes without needing to switch charts. Designed specifically for day traders, this tool enhances situational awareness and assists in aligning trades with broader trend direction.
Features:
2-minute 200 SMA (Yellow)
5-minute 200 SMA (Light Orange)
10-minute 200 SMA (Dark Orange)
1-hour 200 SMA (Red)
1-day 200 SMA (Purple)
Displayed on any intraday chart
Clean line styles with optional labels for timeframe reference
Perfect for scalpers and intraday swing traders who rely on higher timeframe moving averages for confluence and trade validation.
Kase Convergence Divergence [BackQuant]Kase Convergence Divergence
The Kase Convergence Divergence is a sophisticated oscillator designed to measure directional market strength through the lens of volatility-adjusted log return structures. Inspired by Cynthia Kase’s work on statistical momentum and price projection ranges, this unique indicator offers a hybrid framework that merges signal processing, multi-length sweep logic, and adaptive smoothing techniques.
Unlike traditional momentum oscillators like MACD or RSI, which rely on static moving average differences, KCD introduces a dual-process system combining:
Kase-style statistical range projection (via log returns and volatility),
A sweeping loop of lookback lengths for robustness,
First and second derivative modes to capture both velocity and acceleration of price movement.
Core Logic & Computation
The KCD calculation is centered on two volatility-normalized transforms:
KSDI Up: Measures how far the current high has moved relative to a past low, normalized by return volatility.
KSDI Down: Measures how far the current low has moved relative to a past high, also normalized.
For every length in a user-defined sweep range (e.g., 25–35), both KSDI_up and KSDI_dn are computed, and their maximum values across the loop are retained. The difference between these two max values produces the raw signal:
KPO (Kase Projection Oscillator): Measures directional skew.
KCD (Kase Convergence Divergence): Defined as KPO – MA(KPO) — similar in spirit to MACD but structurally different.
Users can choose to visualize either the first derivative (KPO) , or the second derivative (KCD) , depending on market conditions or strategy style.
Key Features
✅ Multi-Length Sweep Logic: Improves signal reliability by aggregating statistical range projections across a set of lookbacks.
✅ Advanced Smoothing Modes: Supports DEMA, HMA, TEMA, LINREG, WMA and more for dynamic adaptation.
✅ Dual Derivative Modes: Choose between speed (first derivative) or smoothness (second derivative) to fit your trading regime.
✅ Color-Encoded Signal Bands: Heatmap-style oscillator coloring enhances visual feedback on trend strength.
✅ Candlestick Painting: Optional bar coloring makes it easy to spot trend shifts on the main chart.
✅ Adaptive Fill Zones: Green and red fills between the oscillator and zero line help distinguish bullish and bearish regimes at a glance.
Practical Applications
📈 Trend Confirmation: Use KCD as a secondary confirmation layer after breakout or pullback entries.
📉 Momentum Shifts: Crossover and crossunder of the zero line highlight potential regime changes.
📊 Strategy Filters: Incorporate into algos to avoid trendless or mean-reverting environments.
🧪 Derivative Switching: Flip between KPO and KCD modes depending on whether you want to measure acceleration or deceleration of price flow.
Alerts & Signals
Two built-in alerts help you catch regime shifts in real time:
Long Signal: Triggered when the selected oscillator crosses above zero.
Short Signal: Triggered when it crosses below zero.
These events can be used to generate entries, exits, or trend validation cues in multi-layer systems.
Conclusion
The Kase Convergence Divergence goes beyond traditional oscillators by offering a volatility-normalized, derivative-aware signal engine with enhanced visual dynamics. Its sweeping architecture and dynamic fill logic make it especially powerful for identifying trending environments, filtering chop, and adding statistical rigor to your trading toolkit.
Whether you’re a discretionary trader seeking precision, or a quant looking to model more robust return structures, KCD offers a creative yet analytically grounded solution.
Supply/Demand Market Structure (SMA Multi-Timeframe)Supply/Demand Based Market Structure
Structure + Order Blocks from Synthetic SMA Candles
Overview:
The SMA Supply/Demand Market Structure indicator combines market structure analysis with supply/demand logic, powered by SMA-based synthetic candles . Instead of relying on raw candle data, this tool generates smoothed higher-timeframe candles using simple moving averages to identify more stable zones and cleaner structure shifts.
It detects bullish and bearish breaks of structure (BoS) , highlights swing points like HH, HL, LH, LL , and plots institutional-style supply and demand zones formed from aggressive rallies or drops. The result is a precise and noise-filtered view of market intent, perfect for trend-following or smart money strategies.
How It Works:
- Synthetic candles are created using SMA of OHLC values on your selected timeframe (HTF).
- A bullish break occurs when price closes above the high of the last bearish synthetic candle.
- A bearish break occurs when price closes below the low of the last bullish synthetic candle.
- Upon break confirmation:
- A demand zone is drawn using the last bearish candle.
- A supply zone is drawn using the last bullish candle.
- Each zone is extended forward for a user-defined number of bars and optionally deleted upon mitigation.
- Zigzag-based internal structure connects valid swing points and classifies them as HH, HL, LH, LL , including Liquidity Sweeps (LS) .
- BoS levels are highlighted with lines that automatically reset when new structure forms.
Key Features:
- Synthetic SMA Candles : Smooth and reliable structure from average-based HTF candles
- Break Modes : Choose between raw HTF closes or SMA closes for break logic
- Custom Timeframe Selection : Analyze structure across any HTF you choose
- Dynamic Supply/Demand Zones : Auto-plot boxes from valid rallies/drops
- Mitigation Detection : Optionally fade or delete zones when price trades through
- Zigzag Structure Mapping : Automatically connect structural highs/lows
- BoS Detection : Real-time breakout of swing points with visual confirmation
- Smart Labels : Marks HH, HL, LH, LL, and LS directly on the chart
- Multi-timeframe Alert System : Notify for all structural changes, BoS, and new zones
How to Use:
- Set your desired HTF and SMA Length for synthetic candle smoothing.
- Use SMA=1 for raw candles
- Select a Break Mode :
- Raw Close : Uses standard HTF close values
- SMA Close : Uses smoothed closes from SMA
- Watch for bullish or bearish breaks — zones are plotted when price confirms breakout structure.
- Use demand zones as long entry areas and supply zones as short setups on retests.
- Rely on internal shifts and zigzag swings to monitor structure continuity.
- Enable alerts for swing formations, BoS, and liquidity sweeps to trade hands-free.
Recommended Strategies:
- Smart Money & ICT Models : Use synthetic demand/supply + BoS for mitigation or continuation plays
- Swing Trading : Align with higher timeframe structure and use zones for entry triggers
- Trend Trading : Confirm structure alignment and wait for pullbacks into zones
- Reversal Entries : Trade structure breaks when zones fail and a BoS confirms the shift
Customization Options:
- Timeframe input for custom HTF control
- SMA Length to adjust candle smoothing
- Zone Style : Control zone color, transparency, and duration
- Structure Display : Toggle swing labels and zigzag visuals
- Alert Mode : Choose between LTF, MTF, or HTF alerts
Summary:
SMA Supply/Demand Market Structure provides a clean, flexible view of price structure and institutional intent by fusing market structure with SMA-based synthetic candles. It’s ideal for anyone seeking reduced noise, visually guided entries, and rule-based trading based on structural shifts and real-time demand/supply dynamics.
EMA/SMA Distance Percentage TableThis TradingView indicator, "EMA/SMA Distance Percentage Table," is designed to help traders and analysts quickly assess the current price's relationship to key Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs).
Here's a breakdown of what it does:
Calculates Multiple Moving Averages: It computes EMAs for lengths 10, 30, 50, and 200, and SMAs for lengths 50 and 200. These are commonly used moving averages in technical analysis.
Measures Percentage Distance: For each of these moving averages, it calculates the percentage difference between the current closing price and the moving average's value. This indicates how far, in percentage terms, the price has deviated from that average. A positive percentage means the price is above the MA, while a negative percentage means it's below.
Displays Data in a Table: All the calculated information (MA type and length, its current value, and the percentage distance) is presented in a clear, organized table on the chart. This allows for quick at-a-glance monitoring.
Customizable Visibility: Users have the flexibility to show or hide the plots of the EMAs and SMAs on the chart, as well as the entire data table, through the indicator's settings.
Purpose:
The primary purpose of this indicator is to provide a concise overview of price momentum and potential overbought/oversold conditions relative to various moving averages. Traders often use the distance from MAs to:
Identify Trend Strength: A large distance from a long-term MA might suggest a strong trend.
Spot Potential Reversals: If the price is significantly extended from an MA, it might indicate that a pullback or reversal is due.
Confirm Support/Resistance: Moving averages often act as dynamic support or resistance levels, and their distance can provide context.
In essence, it helps you quickly see if the price is "stretched" or "compressed" relative to its historical averages, which can be valuable for making trading decisions.
Trend Band Oscillator📌 Trend Band Oscillator
📄 Description
Trend Band Oscillator is a momentum-based trend indicator that calculates the spread between two EMAs and overlays it with a volatility filter using a standard deviation band. It helps traders visualize not only the trend direction but also the strength and stability of the trend.
📌 Features
🔹 EMA Spread Calculation: Measures the difference between a fast and slow EMA to quantify short-term vs mid-term trend dynamics.
🔹 Volatility Band Overlay: Applies an EMA of standard deviation to the spread to filter noise and highlight valid momentum shifts.
🔹 Color-Based Visualization: Positive spread values are shown in lime (bullish), negative values in fuchsia (bearish) for quick directional insight.
🔹 Upper/Lower Bands: Help detect potential overbought/oversold conditions or strong trend continuation.
🔹 Zero Line Reference: A horizontal baseline at zero helps identify trend reversals and neutral zones.
🛠️ How to Use
✅ Spread > 0: Indicates a bullish trend. Consider maintaining or entering long positions.
✅ Spread < 0: Indicates a bearish trend. Consider maintaining or entering short positions.
⚠️ Spread exceeds bands: May signal overextension or strong momentum; consider using with additional confirmation indicators.
🔄 Band convergence: Suggests weakening trend and potential transition to a ranging market.
Recommended timeframes: 1H, 4H, Daily
Suggested complementary indicators: RSI, MACD, OBV, SuperTrend
✅ TradingView House Rules Compliance
This script is open-source and published under Pine Script v5.
It does not repaint, spam alerts, or cause performance issues.
It is designed as an analytical aid only and should not be considered financial advice.
All calculations are transparent, and no external data sources or insecure functions are used.
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📌 Trend Band Oscillator
📄 설명 (Description)
Trend Band Oscillator는 두 개의 EMA 간 스프레드(차이)를 기반으로 한 모멘텀 중심의 추세 오실레이터입니다. 여기에 표준편차 기반의 변동성 밴드를 적용하여, 추세의 방향뿐 아니라 강도와 안정성까지 시각적으로 분석할 수 있도록 설계되었습니다.
📌 주요 특징 (Features)
🔹 EMA 기반 스프레드 계산: Fast EMA와 Slow EMA의 차이를 활용해 시장 추세를 정량적으로 표현합니다.
🔹 표준편차 필터링: Spread에 대해 EMA 및 표준편차 기반의 밴드를 적용해 노이즈를 줄이고 유효한 추세를 강조합니다.
🔹 컬러 기반 시각화: 오실레이터 값이 양수일 경우 초록색, 음수일 경우 마젠타 색으로 추세 방향을 직관적으로 파악할 수 있습니다.
🔹 밴드 범위 시각화: 상·하위 밴드를 통해 스프레드의 평균 편차 범위를 보여주며, 추세의 강약과 포화 여부를 진단할 수 있습니다.
🔹 제로 라인 표시: 추세 전환 가능 지점을 시각적으로 확인할 수 있도록 중심선(0선)을 제공합니다.
🛠️ 사용법 (How to Use)
✅ 오실레이터가 0 이상 유지: 상승 추세 구간이며, 롱 포지션 유지 또는 진입 검토
✅ 오실레이터가 0 이하 유지: 하락 추세 구간이며, 숏 포지션 유지 또는 진입 검토
⚠️ 상·하위 밴드를 이탈: 일시적인 과매수/과매도 혹은 강한 추세 발현 가능성 있음 → 다른 보조지표와 함께 필터링 권장
🔄 밴드 수렴: 추세가 약해지고 있음을 나타냄 → 변동성 하락 또는 방향성 상실 가능성 있음
권장 적용 시간대: 1시간봉, 4시간봉, 일봉
보조 적용 지표: RSI, MACD, OBV, SuperTrend 등과 함께 사용 시 신호 필터링에 유리
✅ 트레이딩뷰 하우스룰 준수사항 (TV House Rules Compliance)
이 지표는 **무료 공개용(Open-Source)**이며, Pine Script Version 5로 작성되어 있습니다.
과도한 리페인트, 비정상적 반복 경고(alert spam), 실시간 성능 저하 등의 요소는 포함되어 있지 않습니다.
사용자는 본 지표를 투자 결정의 참고용 보조 도구로 활용해야 하며, 독립적인 매매 판단이 필요합니다.
데이터 소스 및 계산 방식은 완전히 공개되어 있으며, 외부 API나 보안 취약점을 유발하는 구성 요소는 없습니다.
Daily 50‑ & 200‑SMA Ceiling Radar — EnhancedDescription:
This custom TradingView indicator, developed by Trader Malik and licensed under Trades Per Minute, is a powerful visual tool for identifying how price behaves relative to major daily moving averages — the 50-SMA and 200-SMA. It helps traders quickly understand key technical dynamics such as trend alignment, MA proximity, and short-term momentum sentiment — all displayed on a clean, minimal overlay with visual alerts and an adjustable data table.
FEATURES
1. Daily 50 & 200 Simple Moving Averages (SMA):**
- Displayed directly on the chart using distinct blue and orange lines.
- These serve as primary trend filters and support/resistance zones.
2. Price Highlighting:
- A red background flashes momentarily when the price crosses either the 50-SMA or 200-SMA.
- A green background fills the chart when price is above both MAs (bullish zone).
- A red background persists if price is below both MAs (bearish zone).
3. MA Gap Analysis Table:
- 50-SMA Row**: Shows % gap between 50-SMA and 200-SMA.
- 200-SMA Row**: Shows % gap between 200-SMA and 50-SMA.
- Sentiment Row**: Displays short-term trend bias based on the slope of the past 7 daily closes — Bullish, Neutral, or Bearish.
USER SETTINGS
Table Location: Choose between **Top Right** or **Bottom Right** of the chart.
Table Size: Select **Small**, **Medium**, or **Large** to suit screen preferences and layout aesthetics.
This script is **intellectual property of Trades Per Minute** and distributed by **Trader Malik** for use under licensing terms. Redistribution or repurposing without authorization is strictly prohibited.
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics
Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves.
This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities.
🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS
VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos.
1. The VoVix Score: Measuring Volatility Thrust
The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration.
Mathematical Formula:
VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε)
Where:
ATR(fast) is the Average True Range over a short period, representing current, immediate volatility.
ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility.
StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility.
ε (epsilon) is a very small number to prevent division by zero.
Market Implementation:
Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding.
Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting.
Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market.
2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility
The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself.
Mathematical Formula:
DEV = StDev(VoVix Score, lookback_period)
Market Implementation:
This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional.
3. The DEVMA Crossover: Identifying Regime Shifts
This is the primary signal generator. We take two moving averages of the DEV value.
Mathematical Formula:
fastDEVMA = SMA(DEV, fast_period)
slowDEVMA = SMA(DEV, slow_period)
The Core Signal:
The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility.
Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime.
Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation.
⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE
Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style.
🌀 VoVix DEVMA Configuration
🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts.
⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts.
🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared.
How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles.
🧠 Adaptive Intelligence
🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate.
⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long.
⚡ Intelligent Execution
📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing.
🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism.
🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise.
💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio).
🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run.
🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility.
⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets.
⏰ Session Management
These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open).
🎨 Visual Effects & Dashboard
These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you.
📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER
The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance.
🎯 VOVIX ANALYSIS
Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line.
Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend.
Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force.
PERFORMANCE
Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart.
EXECUTION
Trade Qty: Shows your configured position size per trade.
Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings.
POSITION
Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade.
🧠 ADAPTIVE STATUS
Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart.
🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY
The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state.
The Core Lines:
FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling.
SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling.
🌊 Morphism Flow (Flowing Lines with Circles):
What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength.
Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force.
📐 Homotopy Paths (Layered Transparent Boxes):
What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value.
Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment.
🧠 Consciousness Field (The Grid):
What it represents: This grid provides a historical lookback at the DEV range.
Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state.
📏 Functorial Levels (Projected Horizontal Lines):
What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future.
Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level.
🌊 Flow Boxes (Spaced Out Boxes):
What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction.
Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color.
Background Color:
This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second.
📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS
The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change.
Test Parameters & Conditions
To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario.
Instrument: CME E-mini Nasdaq 100 Futures (NQ1!)
Timeframe: 5-Minute Chart
Backtesting Range: March 24, 2024, to July 09, 2024
Initial Capital: $100,000
Commission: $0.62 per contract (A realistic cost for futures trading).
Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution).
Trade Size: 1 contract per trade.
Performance Overview (Historical Data)
The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation.
Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained.
Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations.
Risk & Trade Characteristics
Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior.
Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated.
Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss.
Conclusion and Final Disclaimer
This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk.
🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY
The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself.
The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation.
⚠️ RISK DISCLAIMER AND BEST PRACTICES
VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures
"The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis."
— George Soros
— Dskyz, Trade with insight. Trade with anticipation.
