EMA Fractal Bias"EMA Fractal Bias" overlays on TradingView charts to detect directional bias for scalping on futures like NQ/ES.
It computes three smoothed EMAs (fast 3/2, mid 9/3, slow 20/5, configurable) for stacking checks (bullish: fast > mid > slow; bearish: reverse).
Williams Fractals (period 2 default) identify potential breaks: close above up-fractal high for long, below down-fractal low for short.
Bias logic: Tracks last up/down fractal. On break, if stacked aligns, sets bias (long/short) and resets broken fractal. If no stack, sets pending flag and neutral bias; confirms on later bars if stack turns true.
Shading teal for long, purple for short, orange for neutral, with intra-bar previews.
Debug toggle adds event labels and status on last bar.
Non-repainting, evaluates on close.
Medias móviles
Leswin Stocks Ribbon Signals (SPY/QQQ)
Leswin Ribbon Signals – Day Trading Indicator (Stocks & Crypto)
Leswin Ribbon Signals is a trend-based momentum indicator designed for day traders and scalpers who trade stocks, ETFs, options, and crypto.
Built for fast execution on 5m, 15m, and 1H timeframes, it uses a dynamic EMA ribbon, trend filtering, and volatility conditions to help identify high-probability BUY and SELL zones while avoiding low-quality chop.
Features:
• Trend-following EMA ribbon
• Automatic higher-timeframe trend filter
• Smart BUY & SELL signals
• Volatility (ATR) filter to avoid dead zones
• Regular Trading Hours (RTH) filter for stocks
• Optimized for SPY, QQQ, DIA, IWM, TSLA, AAPL, META
• Works on crypto, forex, and futures
• Mobile-friendly
• Non-repainting logic
This indicator is best used as a confirmation tool, not a standalone system. Always combine with your own levels, structure, and risk management.
MTF SMA Zones + EMA Trend (Bull & Bear) + EMA DisplayMTF SMA Zones + EMA Trend (Bull & Bear) + EMA Display
Color-Coded Merged Daily & Hourly RSIColor-Coded Merged Daily & Hourly RSI
you caN USE THIS TO BUY OR SELL
Dips Oleg Adaptive Dip‑Buying Strategy with Lot Precision & Smart Averaging
📘 Description
This strategy is a personalized adaptation of an idea originally developed by the respected author fullmax.
I reworked the concept to suit my own trading approach, adding lot‑precision rounding to avoid exchange quantity errors when using webhooks, and enhancing the visual and analytical components of the script.
🔧 What’s New in This Version
Configurable lot precision to ensure clean, exchange‑safe order sizes
Improved UI elements: base‑order labels, compact mini‑table, grouped settings
Dynamic safety‑order pricing based on price drops and scaling factors
Flexible date‑range filtering for controlled backtesting
Clear visualization of SMA threshold, safety levels, breakeven, and take‑profit
Adaptive threshold logic that adjusts depending on trend conditions
🎯 Core Logic
The strategy monitors how far price deviates from a short‑term SMA.
When the deviation crosses a user‑defined threshold, the script opens a base position.
If price continues to dip, the system deploys safety orders with:
scalable volume
scalable distance
precise rounding for compatibility with webhook automation
Once the position is built, the strategy manages exits using a fixed take‑profit target.
A breakeven reference line and auto‑cleanup logic help maintain clarity and prevent stale orders.
⚙️ Feature Overview
Dip‑based entry logic with bull/bear threshold switching
Safety orders with volume and step scaling
Take‑profit management
Breakeven visualization
Mini‑table showing real‑time position metrics
Clean chart overlays for easier interpretation
📝 Disclaimer
This script is intended for educational and analytical use.
It does not guarantee profits and should be tested thoroughly before being used in live trading.
Dual Session VWAPs by GK snipervwaps automatically
for london
new york session
easy
will remove automatically next day
boll+ATR更具布林上下轨道做5分钟短线的剥头皮策略，并且更具atr移动止盈止损
Add Bollinger Bands to the upper and lower bands for a 5-minute short-term charting strategy, and add ATR trailing stop-loss and take-profit orders.
1M Weighted Deepsage ScreenerThis indicator applies the same core decision logic used by Deepsage AI to determine real-time market consensus on lower timeframes.
It combines multiple market dimensions into a single weighted score and classifies conditions as Strong Buy, Buy, Neutral, Sell, or Strong Sell.
All calculations are performed on the current chart timeframe (typically 1-minute), making the indicator highly responsive and well-suited for scalping and short-term market analysis.
Its purpose is not precise entries, but to reveal what the majority of signals are aligned with at any given moment.
7 Wonder Moving Average [DR Trade]Moving Averages are easy-to-learn indicators for beginners.
We provide seven moving average indicators that can be customized to suit each trader's needs. We also offer a selection of moving averages: the Simple Moving Average, the Exponential Moving Average, and the Hull Moving Average.
We provide the Hull Moving Average for traders to more accurately identify trends and potential reversals. The HMA is more responsive to recent price changes than the SMA or EMA, while still maintaining a smooth trendline. The HMA was first introduced by Alan Hull to address the lag and noise of traditional moving averages (MAs).
The best way to use the HMA indicator is to use a 100-period indicator on the H1 timeframe.
The other six indicators can be customized by each trader.
Thank you.
5EMA + Volume Spikes + Ultra Fast Scalp V3Description
This indicator combines 5 EMAs, volume spike detection, and an ultra-fast scalping system designed for short-term trading.
The scalping logic uses a fixed + ATR hybrid price deviation, filtered by RSI and CCI to capture extreme overbought/oversold conditions while avoiding overheated zones.
It also includes previous day levels (high, low, body high/low) extended into the current session for clear intraday reference.
Optimized for fast scalping and momentum fades on lower timeframes.
ZION Trend Strike [wjdtks255]🚀 ZION Trend Strike
This is an advanced trend-following signal indicator designed to work in perfect harmony with the ZION Momentum Flow. It filters market noise and provides precise entry/exit points based on momentum synergy.
Key Features:
Trend Strike Signals: Provides clear BUY/SELL labels when price action aligns with momentum energy.
Dynamic Trend Guide: A color-switching EMA line that helps you visualize the current trend direction at a glance.
Synergy Optimization: Best used as a set with ZION Momentum Flow to avoid false breakouts.
Multilingual Input: Easy-to-use settings menu with both English and Korean labels.
Ripster EMA Clouds with MTFCredits & Origins:
This script is a modification of the widely popular EMA Clouds system originally created by @Ripster47. Full credit goes to him for the strategy and original concept. This version simply adds a quality-of-life feature for traders who use multi-timeframe analysis.
What is this Indicator?
The Ripster EMA Clouds system uses overlapping Exponential Moving Averages (EMAs) to visualize trends, momentum, and dynamic support/resistance zones. The "clouds" differ in color to indicate bullish or bearish trends, acting as a visual guide for keeping you on the right side of the trade.
What is New in This Version? (MTF Capability)
The standard version of this indicator calculates EMAs based on your current chart timeframe. If you switch from a 10-minute chart to a 1-minute chart, the clouds change completely.
I have added a "Fixed Timeframe" variable/input that allows you to "lock" the clouds to a specific timeframe, regardless of what chart you are viewing.
Why is this useful? This allows for true Multi-Timeframe (MTF) scalping.
Example: You can set the clouds to look at the 10-minute trend (identifying major support levels) but execute your entries on a 1-minute chart.
The clouds will remain locked to the 10-minute data, giving you the "big picture" view while you trade the micro-movements.
How to Use
Open the indicator settings.
Go to the Inputs tab.
Find the "Fixed Timeframe" option at the top.
Leave Empty (Default): The indicator behaves exactly like the original (adjusts to your chart).
Select a Timeframe (e.g., 10 Minutes): The clouds will lock to the 10-minute EMAs, even if you switch your chart to 1-minute or 5-seconds.
Note on Visuals When viewing Higher Timeframe (HTF) clouds on a Lower Timeframe (LTF) chart, the clouds will appear to have a "stepped" or "ladder-like" appearance. This is normal and accurate. It represents the single EMA value holding constant for that entire higher-timeframe period. This helps you see the true support level rather than a smoothed, repainted line.
8 EMA. 21 EMA. VWAP This trio is popular for momentum, scalping, and trend-following on 1m–15m charts (stocks, futures, indices).
1. Trend & Bias Filter
• Overall bullish when: Price > VWAP and 8 EMA > 21 EMA
• Overall bearish when: Price < VWAP and 8 EMA < 21 EMA
VWAP adds volume context — many ignore EMA signals against the VWAP side.
2. Crossover Signals (Primary Entries)
• Bullish crossover: 8 EMA crosses above 21 EMA → potential long (especially if price is already above VWAP)
• Bearish crossover: 8 EMA crosses below 21 EMA → potential short (especially if price is below VWAP)
VWAP confirmation reduces whipsaws: only take longs above VWAP, shorts below it.
3. Pullback / Retest Entries (Higher Probability)
• In an uptrend (price > VWAP, 8 > 21): Wait for dips to the 8 EMA (or sometimes 21 EMA) → buy the bounce.
• In a downtrend: Wait for rallies to the 8 EMA → short the rejection.
VWAP often acts as a magnet or pivot — price gravitating toward it can signal mean-reversion trades.
Weighted CCI Oscillator [SeerQuant]Weighted CCI Oscillator (WCCI)
The Weighted CCI Oscillator (WCCI) is an enhanced CCI-style deviation oscillator that builds on the classic Commodity Channel Index framework by introducing adaptive weighting and configurable smoothing. By dynamically scaling deviation based on a selected market “weight” (Volume, Momentum, Volatility, or Reversion Factor), WCCI helps trend strength and regime shifts stand out more clearly, while still retaining the familiar CCI-style structure and ±200 extreme zones.
⚙️ How It Works
WCCI starts by calculating a baseline (your chosen moving average type) of the selected CCI source (Typical Price / HLC3, or a custom input source). It then measures how far price deviates from that baseline, and applies an adaptive weight to that deviation based on your selected weighting method.
The weighting is normalized for stability so it remains usable across different assets and changing regimes, then clamped to prevent abnormal spikes from distorting the oscillator. The weighted deviation is normalized by a weighted mean absolute deviation term (using the standard CCI constant k), producing a CCI-like oscillator that responds differently depending on the “state” of the market.
Trend logic is defined using a neutral zone around the 0 midline: bullish when WCCI holds above (0 + Neutral Zone), bearish when it holds below (0 - Neutral Zone), and neutral while it remains inside that band. A smoothed WCCI line is also provided for cleaner confirmation.
✨ Customizable Settings
WCCI is designed to be tuned without overcomplication. You can choose the CCI source mode (Typical Price / HLC3 or Input Source), set the calculation length, and apply smoothing using your preferred moving average type (SMA, EMA, RMA, HMA, DEMA, TEMA, etc.).
The weighting method is the key differentiator:
Volume weighting emphasizes participation and activity.
Momentum weighting emphasizes impulse and directional pressure.
Volatility weighting emphasizes expansion/contraction phases.
Reversion Factor weighting responds inversely to variance, biasing toward mean-reversion conditions.
On the style side, you can select a preset colour scheme (Default/Modern/Cool/Monochrome) or enable custom bull/bear/neutral colours. Candle coloring is optional, and you can choose whether candles follow the raw WCCI or the smoothed WCCI.
🚀 Features and Benefits
WCCI provides a CCI-style oscillator that adapts to market conditions instead of treating every regime the same. The weighting engine helps meaningful moves stand out when conditions justify it, while the neutral-zone framework reduces noise and improves readability compared to relying purely on midline flips. With flexible smoothing, clean state transitions, optional candle coloring, and clear ±200 extreme markers, WCCI works well as a trend filter, confirmation layer, or regime signal alongside other systems.
📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
McGinley Dynamic + MA FilterMcGinley Dynamic + MA Filter Long/Short Gauge
Author: Simon20cent
Purpose:
Provides a fast, adaptive trend indicator using the McGinley Dynamic, with an optional moving average filter for stronger confirmation of LONG or SHORT bias. Designed to give clear visual signals without cluttering the chart.
How it Works:
McGinley Dynamic: tracks price direction adaptively.
Price above MD → bullish
Price below MD → bearish
Optional MA Filter: confirms trend using a chosen SMA or EMA.
LONG only if MD > MA
SHORT only if MD < MA
Visual Signals:
Line: McGinley Dynamic (colored by bias)
Optional MA line: blue reference
Background color: green = LONG, red = SHORT
Labels: optional “LONG” / “SHORT” above/below bars
Customization Options:
MD period
MA type (SMA/EMA) and period
Show/hide lines and labels
Enable/disable MA filter
Use Cases:
Quick trend bias detection
Entry filter for trades (aligns MD and MA)
Works on any timeframe for scalping, intraday, or swing setups
Key Advantage:
Adaptive, low-lag trend detection with optional confirmation, giving a clean and clear long/short gauge.
Volatility Momentum Suite | Lyro RSVolatility Momentum Suite is an advanced momentum and volatility-based oscillator designed to deliver a complete view of trend strength, acceleration, and market extremes in a single pane. By combining rate-of-change smoothing, adaptive moving averages, standard deviation bands, and momentum acceleration, the indicator provides clear structural insight into trend continuation, exhaustion, and potential reversals.
Built with multiple display and signal modes, it adapts seamlessly to both trend-following and mean-reversion workflows while maintaining strong visual clarity.
Key Features
Momentum Core (Smoothed RoC)
The foundation of the indicator is a Rate of Change (RoC) calculation applied to a selectable price source. This RoC is smoothed using one of 14+ moving average types, including EMA, HMA, KAMA, FRAMA, JMA, and more, allowing precise control over responsiveness versus smoothness.
Standard Deviation Bands
Dynamic deviation bands are calculated around the smoothed momentum line using rolling standard deviation. Two band layers are plotted:
Inner bands for early expansion signals
Outer bands for extreme conditions
These bands adapt automatically to volatility, highlighting momentum expansions, compressions, and exhaustion zones.
Momentum Acceleration
A dedicated acceleration line measures the momentum of momentum itself. This helps identify:
Early trend ignition
Momentum deceleration before reversals
Continuation strength during expansions
Acceleration smoothing and MA type are fully configurable.
Multi-Mode Signal System
Trend Mode
Colors momentum and price according to position above or below the zero line, emphasizing directional bias and trend continuation.
Heikin Ashi Candles Mode
Applies Heikin Ashi logic directly to the momentum series, filtering noise and revealing smoother trend transitions through candle structure.
Extremes Mode
Detects statistically extreme momentum conditions beyond outer deviation bands. Signals are only confirmed after a Heikin Ashi momentum flip, reducing premature reversal entries.
Histogram Mode
Displays the difference between momentum and its signal line as a histogram, useful for divergence spotting and momentum shifts.
Histogram & Signal Line
An EMA signal line is applied to the smoothed momentum, producing a histogram that visually tracks momentum expansion, contraction, and directional changes with adaptive coloring.
Visual Customization
Choose from multiple predefined color palettes:
Classic
Mystic
Accented
Royal
Or define your own bullish and bearish colors.
Additional visual features include:
Momentum-colored candles
Heikin Ashi momentum candles
Band shading and fills
Optional zero-line reference
Integrated Status Table
A built-in table summarizes the real-time state of:
Trend bias
Heikin Ashi momentum direction
Extreme overbought / oversold conditions
This allows rapid decision-making without needing to interpret every visual element manually.
How It Works
Momentum Calculation
Computes Rate of Change on the selected source and smooths it using the chosen moving average.
Volatility Structure
Builds adaptive deviation bands from rolling standard deviation of the momentum line.
Acceleration Layer
Measures the rate of momentum change to detect early shifts in strength.
Mode-Dependent Logic
Trend mode focuses on directional bias
HA mode smooths momentum structure
Extremes mode filters reversals using volatility and HA confirmation
Histogram mode emphasizes momentum differentials
Signals & Alerts
Automatic alerts trigger on:
Momentum crossing above or below zero
Heikin Ashi momentum flips
Confirmed overbought and oversold extremes
Practical Use
Trend Confirmation: Sustained momentum above zero with expanding bands supports trend continuation.
Reversal Identification: Momentum pushing beyond outer bands followed by HA confirmation often precedes reversals.
Momentum Quality: Acceleration helps distinguish strong breakouts from weakening moves.
Multi-Timeframe Alignment: Use higher timeframes for bias and lower timeframes for precision entries using the same indicator.
Customization
Adjust RoC length and smoothing for sensitivity
Tune band length and multipliers for volatility conditions
Select display and signal modes based on strategy type
Fully customize colors to match your chart environment
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other forms of analysis and proper risk management. The author assumes no responsibility for trading decisions made using this indicator.
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones
Overview
An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification.
What Makes This Unique
Unlike standard SuperTrend indicators that use moving averages, this version:
Uses actual pivot points to calculate a dynamic center line
Provides multiple entry mode options for different trading styles
Shows clear exit signals (both trailing stop and take profit)
Color-codes the entire chart into trade zones (Long, Short, No Trade)
Eliminates guesswork about when to enter, exit, and stay out
Features
📊 Core Indicator Components
Pivot Point Detection: Identifies local highs and lows in price structure
Dynamic Center Line: Weighted calculation using detected pivot points
ATR-Based Bands: Volatility-adjusted upper and lower bands
Trailing Stop Line: Adaptive stop-loss that follows the trend
🎯 Entry Signals
Four entry modes to match your trading style:
Immediate Mode ⚡
Signals right when the trailing stop breaks
Fastest entries for aggressive traders
Best for strong trending markets
Aggressive Mode 🔥 (Recommended)
Signals when price closes beyond break candle OR opens beyond it
Balanced speed and confirmation
Good for most market conditions
Balanced Mode ⚖️
Requires entire candle to close beyond break level
Moderate confirmation
Reduces false breakouts
Conservative Mode 🛡️
Waits for candle to open AND stay completely beyond break level
Highest confirmation, slowest entries
Best for choppy markets
🚪 Exit Signals
Three exit strategies:
Trailing Stop
Exits when price crosses back through the trailing stop line
Lets profits run in trending markets
Protects gains when trend weakens
Take Profit %
Exits at predetermined profit target
Locks in gains at specific percentage
Good for range-bound markets
Both
Uses whichever exit comes first
Combines profit protection with trend following
Recommended for most traders
🎨 Visual Trade Zones
Color-coded backgrounds eliminate confusion:
🟢 Light Green: Active LONG position
🔴 Light Red: Active SHORT position
⚫ Gray: NO TRADE ZONE (between exit and next signal)
📍 Additional Visual Elements
Diamond markers: Show when trailing stop is first broken
BUY/SELL labels: Clear entry signals in green/red
EXIT markers: Gray X for stop loss, Orange X (TP) for take profit
Pivot points: Optional display of detected highs/lows (H/L markers)
Support/Resistance: Optional circles at pivot levels
Settings & Parameters
Basic Settings
Pivot Point Period (default: 2)
Controls sensitivity of pivot detection
Lower = more pivots detected (more responsive)
Higher = fewer pivots (more stable)
ATR Factor (default: 3)
Distance multiplier for trailing stop bands
Lower = tighter stops (more signals, earlier exits)
Higher = wider stops (fewer signals, longer trades)
ATR Period (default: 10)
Lookback period for volatility calculation
Affects how quickly bands adapt to volatility changes
Entry Configuration
Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative
Determines how quickly the indicator generates signals after a trend break
Exit Configuration
Exit Method: Choose Trailing Stop, Take Profit %, or Both
Take Profit % (default: 2%)
Set your profit target as percentage of entry price
Adjust based on volatility and timeframe
Display Options
Show Buy/Sell Labels: Toggle entry signal labels
Show Exit Signals: Toggle exit markers
Show Break Candles: Toggle diamond markers on trend breaks
Show Pivot Points: Display H/L markers at pivot points
Show PP Center Line: Display the dynamic center line
Show Support/Resistance: Display circles at S/R levels
How to Use
For Swing Traders
Set Entry Mode to "Balanced" or "Conservative"
Use "Both" exit method with 3-5% take profit
Enable all visual elements for complete market picture
Trade only in direction of colored zones
For Day Traders
Set Entry Mode to "Aggressive" or "Immediate"
Use "Trailing Stop" exit method to catch intraday trends
Lower ATR Factor to 2-2.5 for tighter stops
Watch for quick signals in the first 2 hours of trading
For Position Traders
Use higher timeframes (Daily/Weekly)
Set Entry Mode to "Conservative"
Increase Take Profit % to 5-10%
Use larger ATR Factor (4-5) for wider stops
General Trading Rules
✅ DO: Enter on BUY/SELL signals (green/red backgrounds)
✅ DO: Exit on EXIT/TP markers
❌ DON'T: Enter during gray NO TRADE ZONE
❌ DON'T: Counter-trend trade against the colored zone
Alerts
Set up the following alerts for automated trading notifications:
Buy Signal: Triggers when long entry conditions are met
Sell Signal: Triggers when short entry conditions are met
Exit Long: Triggers when long position should be closed
Exit Short: Triggers when short position should be closed
Trailing Stop Broken: Triggers on initial trend change
Best Practices
Timeframe Selection
1-5 min: Scalping (use Immediate/Aggressive mode)
15-60 min: Day trading (use Aggressive/Balanced mode)
4H-Daily: Swing trading (use Balanced/Conservative mode)
Weekly: Position trading (use Conservative mode)
Risk Management
Always use the EXIT signals - don't hold through gray zones
Position size based on distance to trailing stop
Never risk more than 1-2% per trade
Consider wider stops on higher timeframes
Market Conditions
Trending markets: Use Aggressive mode, Trailing Stop exits
Ranging markets: Use Conservative mode, Take Profit exits
High volatility: Increase ATR Factor, use Both exits
Low volatility: Decrease ATR Factor for tighter stops
Technical Details
Calculation Method
Detect pivot highs and lows using specified period
Calculate weighted center line: (previous_center × 2 + new_pivot) / 3
Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR)
Determine trend based on price position relative to bands
Trail stop line follows the active trend direction
Signal Logic
Entry signals generated based on selected confirmation mode
Position tracking maintains state from entry to exit
Exit signals calculated from both trailing stop and take profit levels
Trade zones update in real-time based on position state
Limitations & Considerations
Works best in trending markets; may generate false signals in tight ranges
Not a holy grail - should be used with proper risk management
Past performance does not guarantee future results
Recommended to backtest on your specific instrument and timeframe
Consider combining with volume analysis or other indicators for confirmation
Version History
v1.0: Initial release with entry signals and confirmation modes
v1.1: Added exit signals (trailing stop and take profit)
v1.2: Added color-coded trade zones (Long/Short/No Trade)
Credits
Original Pivot Point SuperTrend concept by LonesomeTheBlue
Modified with exit signals and trade zone visualization
License
Mozilla Public License 2.0
Example Setups
Conservative Swing Trading
Pivot Point Period: 2
ATR Factor: 3
ATR Period: 10
Entry Mode: Conservative
Exit Method: Both
Take Profit %: 4%
Aggressive Day Trading
Pivot Point Period: 2
ATR Factor: 2.5
ATR Period: 10
Entry Mode: Aggressive
Exit Method: Trailing Stop
Position Trading
Pivot Point Period: 3
ATR Factor: 4
ATR Period: 14
Entry Mode: Balanced
Exit Method: Both
Take Profit %: 8%
Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose.
Secuencia estricta (pendiente) HMA->RSI BB"The code combines a 100-period HMA as the first condition, and an RSI smoothed by a Bollinger Band set to default parameters of 24 and 1 standard deviation. The first condition is that the price is above or below the HMA. The second condition is that the RSI moves above or below the Bollinger Bands. Depending on how the conditions align, the system takes either a short or a long position."
Universal Adaptive Tracking🙏🏻 Behold, this is UAT (Universal Adaptive Tracker) , with less words imma proceed how it compares with alternatives:
^^ comparison with non-adaptive quadratic regression (purple line), that has higher overshoots, less precision
^^ comparison with JMA and its adaptive gain. JMA’s gain is heavily limited, while UAT’s negative and positive gains are soft-saturated with p-order Möbius transform
This drop is inspired by, dedicated to, and made will all love towards Jurik Research , who retired in October 2k21. When some1 steps out, some1 has to step in, and that time it’s me (again xd). But there’s some history u gotta know:
Some history u gotta know:
In ~2008 dudes from forexfactory reverse engineered Jurik Moving Average
In late 1990s dudes from Jurik Research approximated the best possible adaptive tracking filter for evolution of prices via engineering miracles
Today in 2k26, me I'm gonna present to you the real mathematical objects/entities behind JMA top-edge engineered approximates. You will prolly be even more happy now then all the dem together back then.
Why all this?
When we talk about object tracking stuff, e.g. air defense, drones, missiles, projectiles, prices, etc, it all comes down to adaptive control and (Position & Velocity & Acceleration) aka PVA state space models (the real stuff many of you count as DSP ).
Why? Cuz while position (P) : (mean), or position & velocity (PV) : (linear regression) are stable enough in dem own ways, Position & Velocity & Acceleration (PVA) : (quadratic regression+) require adaptivity do be stable. And real world stuff needs PVA, due to non-linearity for starters.
So that’s why. If your goal is Really smoothing and no lag, u gotta go there. I see a lot of folks are crazy with it and want it, so here is it, for y’all. And good news, this is perfect for your favorite Moving Windows.
How to use it
The upper study:
The final filter (main state): just as you use other fast smoothers, MAs, etc, you know better than me here
You can also turn in volatility bands in script’s style settings, these do not require any adjustments
Finally, you can turn on, in the same place, separate trackers each based on negative and positive volatility exclusively. When both are almost equal, that indicates stability & persistence in markets. May sound like it’s nothing important, but I've never seen anything like it before. Also, if you'd allow your our inner mental gym hero gloriously arise, you can argue that these 2 separate trackers represent 2 fair prices (one for sellers, one for buyers). All better then 1 imaginary fair price for both (forget about it)
The lower study:
The lower study: you can analyze streams of upward of downward volatilities separately. This is incredibly powerful
You can also turn these off and turn on neg & pos intensities, and use them as trend detector, when each or both cross 1.5 (naturally neutral) threshold.
^^ Upper study with expected typical and maximum volatility bands turned On
...
The method explained
What you got in the end is non-linear, adaptive, lighting fast when needed and slow when required price tracking. All built upon real math entities/objects, not a brilliantly engineered approximation of them. No parameters to optimize, data tells it all.
... It all starts from a process model, in our cause this is...
MFPM (Mechanical Feedback Price Model)
Doesn’t make gaussian assumptions like most quant mainstream tech, accepts that innovations are Laplace “at best”, relies in L inf and L0 spaces.
I created this model neither trynna fit non-fitting ARMA / variants, nor trynna be silly assuming that price state evolution and markets are random.
Theory behind it: if no new volume comes, then price evolution would be simply guided by the feedback based on previous trading activity, pushing prices towards the midrange between 2 latest datapoints, being the main force behind so called “pullbacks” and reason why most pullbacks end just a bit past 50% of a move.
This is the Real mechanical feedback based mean reversion, that is always there in the markets no matter what, think of it as a background process that is always there, and fresh new volume deviates prices away from it. Btw, this can also be expressed as AR2 with both phis = 0.5 .
Then I separate positive and negative innovations from this model and process them separately, reflecting the asymmetry between buy and sell forces, smth that most forget. Both of these follow exponential distribution . Each stream has its own memory so here we use recursive operators . We track maximum innovations (differences between real and expected datapoints) with exponentially decaying damping factor, and keep tracking typical innovation, with the same factor.
Then we calculate what’s called in lovely audio engineering as “ crest factor ”, the difference is we don’t do RMS and stuff. But hey again we work with laplace innovations, so we keep things in L0 and L inf spirit. Then we go a couple of steps further, making this crest factor truly relative (resolution agnostic), and then, most importantly, we apply a natural saturation on it based on p-order Möbius transform, but not with arbitrary p and L, but guided by informational limits of the data. These final "intensity" parameters are what we need next to make our object tracking adaptive.
Extended Beta(2, 2) Window
This is imo the main part of this. Looking at tapering windows in DSP and how wavelets are made from derivatives of PDF functions of probability distributions, I figured that why use just one derivative? That made me come up with Universal Moving Average , that combines PDF and CDF of Beta(2, 2) distribution . And that is fine for P (position) tracking model.
Here we need PVA (position & velocity & acceleration). We can realize that everything starts from PDF, and by adding derivatives and anti-derivatives of it as factors of final window weights, we can create smth truly unique, a weightset that is non-arbitrary and naturally provides response alike quadratic regression does, But, naturally smoothed.
Why do I consider this a discovery, a primordial math object? Because x^2 itself and Beta(2, 2) based on it are the only primitives, esp out of all these dozens of DSP tapering windows, that provide you a finite amount of derivatives. You can keep differentiating Hann window until the kingdom f come, while Welch window aka Beta(2, 2) has a natural stopping point, because the 3rd derivative is 0, so we can’t use it. Symmetrically, we do 2 steps up from PDF, getting 1st and second anti-derivatives. What’s lovely, symmetrically, 3rd antiderivative even tho exist, it stops making any sense. 2nd one still makes sense, it’s smth like “potential” of probability distribution, not really discussed in mainstream open access sources.
Finally, the last part is to introduce adaptivity using these intensity exponents we’ve calculated with MFPM. We do 2 separate trackers, one using the negative intensity exponent, another one uses positive intensity exponent.
And at the end, even tho using both together is cool, the final state estimate is calculated simply as the state which intensity has higher.
^^ impulse response of our final kernel with fixed (non adaptive) intensity exponents: 1 (blue) and 2 (red). You see it's all about phase
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And that’s all folks.
…
Actually no …
Last, not least, is the ability to add additional innovation weight to the kernel:
^^ Weighting by innovations “On”. Provides incredible tracking precision, paid with smoothness. I think this screenshot, showing what happened after the gap, and how the tracker managed to react, explains it all.
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Live Long and Prosper, all good TradingView
∞
200 MA Pack (SMA / EMA / SMMA / WMA) + VWAP200 Moving Average Pack + VWAP (Institutional Trend Indicator)
This indicator plots the most widely respected long-term trend and institutional reference levels on a single chart.
Included:
200 SMA – Long-term market structure & institutional bias
200 EMA – Dynamic trend direction & pullback reference
200 SMMA (RMA) – Smoothed trend stability with reduced noise
200 WMA – Faster weighted trend response
VWAP – Volume-weighted fair value used by smart money
Designed for stocks, indices, futures, and commodities, this tool helps identify:
Bullish vs bearish market regimes
High-probability trend continuations
Key support & resistance zones
Price acceptance or rejection around VWAP
Best used for positional trading, swing trading, and intraday bias.
Works on all timeframes.
VIX Crossing# VIX Crossing Strategy
## Overview
VIX Crossing is a quantitative trading strategy that combines volatility signals from the VIX index with trend confirmation from the Nasdaq-100 (NDX) to generate long entry signals. The strategy employs multiple exit conditions to manage risk and lock in profits systematically.
## Strategy Logic
### Entry Condition
The strategy initiates a long position when:
- **VIX Crossunder**: The VIX closing price crosses below its 5-bar simple moving average (SMA), signaling a decrease in implied volatility
- **AND NDX Confirmation**: The Nasdaq-100 closes above its 21-bar exponential moving average (EMA), confirming uptrend strength
This dual-signal approach reduces false entries by requiring both volatility normalization and positive market momentum.
### Exit Conditions
The strategy automatically closes positions when any of the following conditions are met:
1. **VIX Crossover (Volatility Exit)**: VIX closes above its SMA, indicating rising volatility
2. **Time-Based Exit**: Position is force-closed after 10 bars from entry, preventing prolonged drawdowns
3. **Take-Profit Exit**: Position closes when unrealized profit exceeds $3,000 per contract
4. **Stop-Loss Exit**: Position closes when unrealized loss exceeds $1,500 per contract
Exit conditions are evaluated each bar while the position is open, with explicit logging of the exit reason for trade analysis.
## Configuration Parameters
| Parameter | Default | Purpose |
|-----------|---------|---------|
| VIX SMA Length | 5 | Smoothing period for VIX volatility baseline |
| NDX EMA Length | 21 | Smoothing period for Nasdaq-100 trend confirmation |
| Force Close After X Bars | 10 | Maximum holding period in bars |
| TP Amount per Contract | $3,000 | Profit target per contract |
| SL Amount per Contract | $1,500 | Loss limit per contract |
## Risk Management Features
- **Position Sizing**: Capital allocation based on profit/loss per contract rather than fixed units, allowing for scalable risk
- **Dual Risk Controls**: Combined time-based and price-based exits prevent extended exposure
- **Profit Asymmetry**: 2:1 profit-to-loss ratio encourages risk/reward discipline
- **Contract-Based Accounting**: Profit targets and stop losses scale with position size
## Capital Requirements
- **Initial Capital**: $50,000
- **Commission**: $3 per contract (cash-based)
- **Instrument**: Designed for index-based derivatives or equities with liquid options markets
## Technical Indicators Used
- Simple Moving Average (SMA) for VIX smoothing
- Exponential Moving Average (EMA) for NDX trend detection
- Crossover/Crossunder detection for signal generation
## Underlying Assumptions
1. VIX crossunder events represent mean-reversion opportunities in Nasdaq-heavy portfolios
2. NDX EMA confirmation filters out uncorrelated volatility spikes
3. 10-bar holding period aligns with typical mean-reversion timeframes
4. Contract-based profit targets accommodate varying leverage levels
4MAs+5VWAPs+FVG+ Fractals4MAs + 5VWAPs + FVG + Fractals
All-in-one market structure indicator combining 4 moving averages, 5 VWAP timeframes, fair value gaps, fractals, and order blocks.
🔧 Features:
· 4 MAs - SMA/EMA, customizable lengths & colors
· 5 VWAPs - Daily, Weekly, Monthly, RTH, Custom sessions
· Fractals - Market structure with breakout lines & custom colors
· FVG/Imbalances - Bullish/bearish gap detection with alerts
· Order Blocks - Dynamic institutional levels
· Smart Labels - VWAP labels with color matching
⚙️ Quick Setup:
1. Toggle groups in Master Control Panel
2. Customize colors for each component
3. Set sessions for RTH/Custom VWAP
4. Adjust fractal periods (default: 2)
📈 Trading Use:
· Identify market structure with fractals
· Find confluence at VWAP + MA levels
· Trade FVG fills and order block reactions
· Multiple timeframe analysis with 5 VWAPs
Customizable • Color-Coordinated • Performance Optimized
