Quantum Fibonacci Flow
Quantum Fib Ribbon (QFLOW)
📖 How It Works
A three-band ribbon built from Fibonacci-scaled moving averages, filled and colored to reflect current momentum strength and direction.
Green when bullish flow is strong, red when bearish flow dominates, and orange in between to highlight slowing momentum.
⚙️ Key Controls
* Base Length: Adjusts the ribbon’s overall lookback.
* Ribbon Opacity: How solid or translucent the fill appears.
* Momentum Scale & Exponent: Fine-tune how sensitively the ribbon reacts to price speed versus volatility.
* Override Threshold: Determines at what momentum level the ribbon “snaps” to full green or red.
🚨 Over-Extension Logic
When price extends significantly above or below the ribbon, it often signals exhaustion.
The first return to the ribbon after such an extension frequently acts as strong support or resistance — offering high-probability trade setups.
🔺 Optional Trade Signals
Enable the over-extension alert to mark these key areas:
* A green triangle shows price extended below the ribbon, then retested → potential long.
* A red triangle shows price extended above, then retested → potential short.
🎯 How to Trade
• Breakout-Retest Setup: Watch for over-extended price moves. The first comeback to the ribbon often marks key levels of interest for a reversal or continuation.
Moving Averages
RMSE Bollinger Bands + Loop | Lyro RSRMSE Bollinger Bands + Loops
Overview
The RMSE Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with statistical measures. This indicator employs a multi-model approach, integrating Bollinger-style RMSE bands, momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions.
Indicator Modes
Bollinger-style RMSE Bands: this mode calculates dynamic volatility bands around the price using the following formula:
Upper Band = Dynamic Moving Average + (RMSE × Multiplier)
Lower Band = Dynamic Moving Average - (RMSE × Multiplier)
These bands adjust to market volatility, helping identify potential breakout or breakdown points.
For-Loop Momentum Scoring, momentum is assessed by analyzing recent price behavior through a looping mechanism. A rising momentum score indicates increasing bullish strength, while a declining score suggests growing bearish momentum.
Hybrid Combined Signal: this mode assigns a directional score to the other two modes:
+1 for bullish (green)
–1 for bearish (red)
An average of these scores is computed to generate a combined signal, offering a consolidated market trend indication.
Practical Application
Signal Interpretation: A buy signal is generated when both the RMSE Bands and For-Loop Momentum Scoring align bullishly. Conversely, a sell signal is indicated when both are bearish.
Trend Confirmation: The Hybrid Combined Signal provides a consolidated view, assisting traders in confirming the prevailing market trend.
Note: Always consider additional technical analysis tools and risk management strategies when making trading decisions.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Cycle Composite 3.6 WeightedThe Cycle Composite is a multi-factor market cycle model designed to classify long-term market behavior into distinct phases using normalized and weighted data inputs.
It combines ten key on-chain, dominance, volatility, sentiment, and trend-following metrics into a single composite output. The goal is to provide a clearer understanding of where the market may stand in the broader cycle (e.g., accumulation, early bull, late bull, or euphoria).
This version (3.4) introduces flexible weighting, trend strength markers, and additional context-aware signals such as risk-on confirmations and altseason flags.
Phases Identified:
The model categorizes the market into one of five zones:
Euphoria (> 85)
Late Bull (70 – 85)
Mid Bull (50 – 70)
Early Bull (30 – 50)
Fear (< 30)
Each phase is determined by a smoothed EMA of the weighted composite score.
Data Sources and Metrics Used (10 total):
BTC Dominance (CRYPTOCAP:BTC.D)
Stablecoin Dominance (USDT + USDC average) (inverted for risk-on)
ETH Dominance (CRYPTOCAP:ETH.D)
BBWP (normalized Bollinger Band Width % over 1-year window)
WVF (Williams VIX Fix for volatility spike detection)
NUPL (Net Unrealized Profit/Loss, external source)
CMF (Chaikin Money Flow, smoothed volume accumulation)
CEX Open Interest (custom input from DAO / external source)
Whale Inflows (custom input from whale exchange transfer data)
Google Trends Average (BTC, Crypto, Altcoin terms)
All inputs are normalized over a 200-bar window and combined via weighted averaging, where each weight is user-configurable.
Additional Features:
Phase Labels: Labels are printed only when a new phase is entered.
Bull Continuation Marker: Triangle up when composite makes higher highs and NUPL increases.
Weakening Marker: Triangle down when composite rolls over in Late Bull and NUPL falls.
Risk-On Signal: Green circle appears when CMF and Google Trends are both rising.
Altseason Flag: Orange diamond appears when dominance of "others.d" exceeds BTC.D and ETH.D and composite is above 50.
Background Shading: Each phase is shaded with a semi-transparent background color.
Timeframe-Aware Display: All markers and signals are shown only on weekly timeframe for clarity.
Intended Use:
This script is intended for educational and macro-trend analysis purposes.
It can be used to:
Identify macro cycle position (accumulation, bull phases, euphoria, etc.)
Spot long-term trend continuation or weakening signals
Add context to price action with external on-chain and sentiment data
Time rotation events such as altseason risk
Disclaimer:
This script does not constitute financial advice.
It is intended for informational and research purposes only.
Users should conduct their own due diligence and analysis before making investment decisions.
Didi Index Pro – NNFX Trend Indicator [UTS]📈 Uber Didi Index Pro – NNFX Trend Indicator
A Top 100 NNFX-Compliant Trend Indicator – Refined for Rule-Based Traders
This enhanced Didi Index is a purpose-built trend indicator optimized for No Nonsense Forex (NNFX) systems. It reimagines the classic Brazilian Didi Index with powerful upgrades designed for serious, rules-based trading.
🔍 What Makes This Version Unique?
✅ NNFX-Adjusted Logic
• Removes short/fast MAs to reduce noise
• Designed to work only with long-period moving averages – as per VP’s recommendations
🔁 Inverted & Zero-Centered
• Deviations are plotted relative to the medium MA baseline at zero
• Inverted formula offers better signal clarity (e.g., rising above zero = uptrend)
🎛️ Customizable with 25+ Moving Average Types
• Choose SMA, EMA, WMA, VWMA, Hull, LSMA, and more
• Tune each line individually to match your system rules
📢 Alerts Built In
• Set alerts for crossovers, entering/exiting zones, or custom signal events
• Works as a primary confirmation, secondary confirmation or even exit indicator
🎯 Clean Signals, Fast Readability
• Removed the "Curta" and relies on the better "Longa" line relative to a zero centered "Media" line
• Great for confirming higher timeframe trends or filtering false entries
🕰️ History & Context
Originally developed by Brazilian trader Odir “Didi” Aguiar, the Didi Index compares short, medium, and long moving averages to spot market compression and expansions. This version repurposes the idea for trend-following, not mean reversion, and fully aligns with NNFX methodology.
📎 How to Use in NNFX Systems
Use this indicator as part of your C1 or C2 (confirmation) indicator:
When the Longa line is above zero → Bias = Long
When the Longa line is below zero → Bias = Short
Avoid trades when both lines are tightly compressed near zero
✅ Designed by traders who follow the rules.
✅ Built for traders who want clarity, consistency, and compliance.
🚀 Moving Averages
Trend-determining method offers 26 high quality Moving averages to choose.
"SMA", Simple Moving Average, R. H. Hooker, 1901
"EMA", Exponential Moving Average, P. N. Haurlan, early 1960s
"MDMA", McGinley Dynamic MA, John R. McGinley, 1990s
"DSEMA", Double Smoothed EMA, William Blau, year unknown
"DEMA", Double EMA, Patrick G. Mulloy, 1994
"TEMA", Triple EMA, Patrick G. Mulloy, 1994
"WMA", Weighted MA, Author and year unknown
"PWMA", Parabolic Weighted MA, Author and year unknown
"VWMA", Volume Weighted MA, Author and year unknown
"HULL", Hull MA, Alan Hull, 2005, year unknown
"TMA", Triangular MA, Author and year unknown
"B2P", Two Pole Ehlers Butterworth, John F. Ehlers, 2004
"S2P", Two Pole Ehlers Smoother, John F. Ehlers, year unknown
"S3P", Three Pole Ehlers Smoother, John F. Ehlers, year unknown
"SINE", Sine Weighted MA, Author and year unknown
"LINREG", Linear Regression Value (LSMA), Author and year unknown
"ILINREG", Integral of Linear Regression Slope, Author and year unknown
"NLMA", Non Lag MA, Author and year unknown
"ZLMA", Zero Lag MA, Author and year unknown
"KIJUN", Kijun-Sen Ichimoku, Goichi Hosoda, late 1930s
"SSM", Super Smoother, John F. Ehlers, year unknown
"ALMA", Arnaud Legoux MA, Arnaud Legoux, year unknown
"KAMA", Kaufman Adaptive MA, Perry J. Kaufman, 1998
"FRAMA", Fractal MA, John F. Ehlers, year unknown
"RMA", Running MA, J. Welles Wilder Jr., 1978
"JMA", Jurik Moving Average, Mark Jurik, year unknown
🚥 Signals
The indicator displays buy/sell signals, Beyond-ATR signals, and recommends when a pullback entry is possible.
Long Signal
Short Signal
📢 Alerts
Each chart signal can trigger an alert with the same name. To avoid multiple alerts being triggered within a single candle, it is recommended to wait for the candle to close and use the 'Once Per Bar Close' setting.
Long Signal
Short Signal
🗃️ About
Name: Uber Didi Index Pro – NNFX Trend Indicator
Created: 2025/06/20
PineScript: v6
HMA Swing Levels [BigBeluga]An advanced swing structure and trend-following tool built on Hull Moving Average logic, designed to detect major reversals and track dynamic support/resistance zones.
This indicator analyzes price swings using pivot highs/lows and a smoothed HMA trend baseline. It highlights key reversal levels and keeps them active until breached, giving traders a clear visual framework for price structure and trend alignment. The pivots are calculated in real-time using non-lagging logic, making them highly responsive to market conditions.
🔵 CONCEPTS
Combines a fast-reacting Hull Moving Average (HMA) with pivot logic to capture precise directional changes.
Detects non-lagging reversal highs and lows when pivot points form and the HMA direction flips.
Projects these reversal levels forward as horizontal support/resistance lines until broken by price.
Active trend is shown with a step-style trail line that reflects HMA bias over time.
🔵 FEATURES
Swing Level Detection:
Identifies high/low reversals when trend direction changes and plots horizontal zones.
Non-lagging logic of swing points detection:
if h == high and high < h and change > 0
// Detected Swing High
if l == low and low > l and change < 0
// Detected Swing Low
Persistent Support & Resistance Lines:
Each detected swing high or low is extended forward until price invalidates the level. Dotted style is applied once breached.
Color-Coded Trend Trail:
Displays a stepped trend trail using HMA slope: lime = uptrend, blue = downtrend.
Automatic Labeling:
Each reversal level is labeled with its price for clear reference.
Age-Based Line Thickness:
Every level increases in thickness every 250 bars. The longer the level lasts, the stronger it is.
🔵 HOW TO USE
Use green (support) and blue (resistance) levels to frame key reaction zones.
Trade with the trend defined by the trail color: lime for bullish bias, blue for bearish.
Explore where buy or sell orders are stacked
Look for breaks of swing lines to anticipate trend shifts or breakout setups.
Adjust the "Trend Change" input to tune the sensitivity of swing detection.
Adjust the "SwingLevels" input to define how far back to search for valid pivots.
🔵 CONCLUSION
HMA Swing Levels offers a hybrid approach to structural and trend-based trading. With automated non-lagging swing detection, persistent support/resistance tracking, and intuitive HMA-based trend coloring, it provides a powerful visual system for discretionary and systematic traders alike.
Fourier Weighted Moving Average-(FWMA)Fourier Weighted Moving Average (FWMA)
About Fourier and His Theory
Joseph Fourier (1768–1830) was a French mathematician and physicist best known for his work on heat transfer and periodic functions. His most significant contribution to science is what we now call Fourier Analysis.
What Is Fourier's Theory?
Fourier’s theory states that:
Any repeating (periodic) signal or pattern can be broken down into a sum of simple sine and cosine waves.
This idea became the foundation of signal processing, modern physics, and data smoothing techniques — including those used in financial markets.
Key Concepts of Fourier’s Theory
1. Decomposition of Signals
Complex waveforms can be expressed as combinations of basic sine waves with different frequencies and amplitudes.
2. Frequency Domain View
Instead of viewing data in time (or price), you can analyze its frequency — how often certain movements repeat.
3. Smoothing and Filtering
By focusing only on certain frequencies (e.g., slower or longer cycles), Fourier methods allow you to filter out short-term noise and focus on the trend.
4. Applications in Finance
In trading, Fourier principles help design indicators that:
* Remove short-term market noise
* Emphasize dominant cycles
* Provide cleaner trend direction
Why It Matters for This Indicator
The Fourier Weighted Moving Average (FWMA) used in this indicator applies a custom weight derived from a sin² function, inspired by Fourier’s work on wave behavior. This gives more influence to the mid-section of the price data, making the average line smoother and more stable than traditional methods like SMA or EMA.
Unlike basic moving averages, the FWMA reacts to price changes more fluidly while reducing whipsaws, which is especially useful for trend-following strategies.
Input Settings and Controls
This section outlines all configurable fields and buttons available in the indicator, grouped for clarity:
Main Settings
* Source
Defines the price source used in the FWMA calculation. Options typically include close, open, hl2, etc.
* FWMA – 1 (Length)
Sets the period for the first Fourier Weighted Moving Average. Shorter lengths produce faster, more sensitive lines.
* FWMA – 2 (Length)
Sets the period for the second FWMA, typically used as a slower or long-term trend filter.
* Weight Epsilon
A small constant added to the weight formula to prevent division by zero and improve numeric stability in the FWMA formula.
Slope Sensitivity
* Slope Sensitivity (Bars)
This field defines the number of bars used to calculate the slope of each FWMA. The slope determines whether the line is rising or falling and is used to change the line color accordingly.
* Enable Slope Coloring (Toggle)
When enabled, both FWMA lines change color based on their slope:
* Positive slope = trend up color
* Negative slope = trend down color
If disabled, lines are shown in a neutral (gray) color.
Ribbon Settings (Group: Ribbon)
* Enable Ribbon for FWMA-2 (Toggle)
Turns the ribbon feature on or off. When enabled, the script plots two additional lines slightly above and below FWMA-2.
* Ribbon Thickness
Controls the line width of the ribbon above and below FWMA-2. Values from 1 to 100 are allowed, giving full control over ribbon visual prominence.
PulseMA OscillatorOverview
PulseMA Oscillator is a technical analysis tool that transforms the relationship between price and a base moving average (EMA) into an oscillator fluctuating around a zero line. It is based on counting consecutive candles closing above or below the EMA and factoring in the slope of the average to gauge trend momentum.
This indicator helps assess not only the direction of the market but also the strength of the movement and potential exhaustion, making it useful for identifying trade entry and exit points.
Key Features
PulseMA Oscillator: Calculates a value based on the number of consecutive candles above or below an EMA and the angle (slope) of that EMA. Positive values indicate bullish dominance; negative values indicate bearish pressure.
Smoothing (SMA): A moving average of the oscillator to highlight the broader trend and reduce noise.
Zero Line: Acts as a baseline to distinguish between bullish and bearish conditions.
Use Cases
PulseMA Oscillator is designed for technical traders who want to:
Determine the direction and strength of the trend based on candle positioning relative to an EMA.
Identify potential market reversals or exhaustion when the oscillator reaches extreme values.
Generate trade signals when:
The oscillator crosses above/below its smoothed version.
The oscillator crosses the zero line.
The smoothed line (PulseMA MA) crosses the zero line, confirming a shift in the longer-term trend.
Analyze trend momentum with a fresh perspective — different from traditional oscillators like RSI or MACD.
How to Use
Add the indicator to your chart: Search for "PulseMA Oscillator" in the indicators library.
Adjust parameters as needed:
EMA Length (PulseMA Length) – default: 50
SMA Length (Smoothing) – default: 20
Interpretation
Positive values: A series of candles are closing above the EMA — indicates bullish momentum.
Negative values: A series of candles are closing below the EMA — indicates bearish momentum.
Cross of PulseMA above SMA: Potential buy signal.
Cross of PulseMA below SMA: Potential sell signal.
Crossing the zero line by PulseMA: May indicate trend shift.
Crossing the zero line by PulseMA MA: May confirm a more sustained trend change.
Notes
Best used in trending markets. In sideways/consolidating conditions, consider combining with other filters.
Using a higher EMA length (e.g., 100) results in a smoother and more long-term trend representation.
Fine-tuning the parameters to your specific asset and timeframe can greatly improve effectiveness.
DP_MoneyFlow_Osc_V4**DP_Moneyflow_Osc_V4** is a custom, volume‐weighted momentum oscillator built around the classic Money Flow Index (MFI), with a few twists to help you spot more reliable reversal points:
***Best way to use it is to take the signals as alert points, to understand when money is starting to flow in or starting to flow out. It is not intended to be a Buy or Sell signal at the point of entry where the label is printed.***
1. **Core Calculation**
* Computes the standard MFI on your chart’s native timeframe:
* Money Flow = typical price (H+L+C)/3 × volume
* Segregates positive vs. negative flow based on whether price rose or fell on each bar
* Smooths each with an N-bar SMA, forms the ratio, and maps it into a 0–100 scale
2. **Inversion & Smoothing**
* You can **invert** the oscillator around 50 (so peaks become troughs and vice versa) with the **Reverse MFI** toggle.
* Applies two layers of smoothing (one for raw noise reduction, another for longer-term trend stability).
3. **Dynamic Coloring**
* Above Overbought (OB) threshold → solid red; below Oversold (OS) → solid green.
* In between, it linearly fades from red/green toward black as it approaches the 50 midpoint.
* **Invert Colors** flips the hue logic (red ↔ green) if you prefer.
4. **Overbought/Oversold Zones**
* Plots horizontal lines at your chosen OB/OS levels.
* Optionally fills the zone between them for quick visual reference.
5. **Peak/Trough Signal Labels**
* Detects **true extremes** by finding when the oscillator reverses direction right at or beyond your OB/OS levels.
* Prints a tiny “OB” or “OS” label **exactly at that pivot bar**, so you see the high or low of the swing.
6. **Alternation Toggle**
* Prevents two consecutive “OS” or “OB” labels by enforcing strict Buy/Sell alternation—turn this on or off via **Enable Signal Alternation**.
---
**Use-Case**: This oscillator excels at pinpointing the *tops* and *bottoms* of strong volume‐backed moves, giving you clear pivot markers rather than every threshold crossover. Tweak the smoothing and threshold inputs to calibrate sensitivity to your market and timeframe.
Bitcoin Macro Oscillator | [DeV]The Bitcoin Macro Oscillator (BMO) is a sophisticated fundamental indicator designed to provide a comprehensive view of Bitcoin’s market conditions by combining four key on-chain metrics: the Market Value to Realized Value (MVRV) Ratio, Volume-Weighted Average Price (VWAP) Ratio, Cumulative Value-Days Destroyed (CVDD) Ratio, and Sharpe Ratio. These metrics are individually z-scored and weighted according to user-defined preferences, then averaged to produce a single oscillating value, the BMO Z-score. This helps users identify whether Bitcoin is in a bullish (above zero) or bearish (below zero) phase, offering insights into potential market tops, bottoms, and overall trend strength. Inspired and reverse engineered from the BMO of Woonomics, this indicator is enhanced with a customizable moving average.
Market Value to Realized Value (MVRV) Ratio
The MVRV Ratio compares Bitcoin’s current market capitalization (price multiplied by circulating supply) to its realized capitalization (the value of all coins at the price they were last moved on the blockchain). Calculated as MVRV = Market Cap / Realized Cap, it is then z-scored over a user-defined lookback period (default 120 days). This metric tracks whether Bitcoin is overvalued (high MVRV, suggesting a market top) or undervalued (low MVRV, indicating a potential bottom), providing a gauge of investor profitability and market sentiment.
Volume-Weighted Average Price (VWAP) Ratio
The VWAP Ratio measures Bitcoin’s current price against its volume-weighted average price, which is computed by summing the product of price and volume over a lookback period (default 120 days) and dividing by total volume, with a fallback to the current price if volume is zero. The ratio is z-scored to standardize it. This tracks the relationship between price and the average price paid with volume consideration, helping identify overbought or oversold conditions—high values may signal tops, while low values suggest bottoms.
Cumulative Value-Days Destroyed (CVDD) Ratio
The CVDD Ratio is based on the CVDD metric, which estimates the total value of Bitcoin that has been “destroyed” (spent at a loss) over time, approximated here using a longer-term simple moving average (SMA) of the price over twice the lookback period. The ratio is calculated as the current price divided by this CVDD price, then z-scored. It tracks the accumulation of value destruction, with low values indicating bearish exhaustion and high values suggesting bullish momentum.
Sharpe Ratio
The Sharpe Ratio assesses Bitcoin’s risk-adjusted return by comparing the average return (calculated as the natural log of the price change) to its volatility (standard deviation of returns) over a user-defined Sharpe lookback period (default 180 days). If volatility is zero, it defaults to zero to avoid errors. This z-scored value tracks whether Bitcoin’s price movements offer a favorable return for the risk taken—positive values indicate good risk-adjusted performance, while negative values suggest caution.
Together, the MVRV, VWAP, CVDD, and Sharpe Ratio metrics provide a multi-faceted view of Bitcoin’s market health, with each contributing unique insights into valuation, volume, value destruction, and risk-adjusted performance. Their weighted combination into the BMO Z-score balances these inputs to offer a unified signal, enhanced by a customizable moving average (default 90-period EMA) that smooths the Z-score for trend confirmation—rising when bullish, falling when bearish. Credit to Woonomics for inspiring this robust framework, which adapts their BMO concept into a flexible, user-tailored tool.
Money NoodleMoney Noodle Indicator - How It Works
The Money Noodle indicator is a trend-following and support/resistance tool that combines multiple exponential moving averages (EMAs) with dynamic volatility-based bands to create a comprehensive trading system.
Core Components
1. Triple EMA System ("The Noodles")
Fast EMA (12): Most responsive to price changes, shows short-term momentum
Medium EMA (21): Intermediate trend direction
Slow EMA (35): Main trend line that acts as the central reference point
The "noodle" effect comes from how these three EMAs weave around each other and the price action, creating curved, flowing lines that resemble noodles.
2. Dynamic Volatility Bands
Upper Band: Main EMA + (ATR × Band Multiplier)
Lower Band: Main EMA - (ATR × Band Multiplier)
Uses a 20-period ATR (Average True Range) to measure market volatility
Band width automatically adjusts - wider during volatile periods, tighter during consolidation
How It Functions
Trend Identification:
When all three EMAs are aligned (fast > medium > slow), it indicates a strong uptrend
When EMAs are inverted (fast < medium < slow), it signals a downtrend
EMA crossovers provide early trend change signals
Support & Resistance:
The bands act as dynamic support and resistance levels
Price tends to bounce off the bands during trending markets
Band breaks often signal strong momentum moves or trend changes
Volatility Assessment:
Band width indicates market volatility - wider bands = higher volatility
ATR-based calculation makes the bands adaptive to current market conditions
The 0.0125 multiplier provides optimal sensitivity for most timeframes
Trading Applications
Entry Signals:
Buy when price bounces off the lower band with EMA alignment
Sell when price bounces off the upper band against the trend
Breakout trades when price decisively breaks through bands
Trend Following:
Use the main EMA (35) as your trend filter
Trade in the direction of EMA alignment
The "noodles" help identify trend strength - tighter = stronger trend
Risk Management:
Bands provide natural stop-loss levels
Band width helps size positions (wider bands = smaller size due to higher volatility)
The indicator works best on daily timeframes and provides a visual, intuitive way to read market structure, trend direction, and volatility all in one tool.
Supply/Demand Zones (Synthetic SMA Candles)Supply/Demand Zones (Synthetic SMA Candles)
Created by The_Forex_Steward
This indicator highlights institutional-style supply and demand zones using synthetic SMA-based candles rather than raw price data. It provides a smoother, more refined view of price action to help identify key imbalance areas where price is likely to react.
Features:
- Uses SMA-smoothed synthetic candles to detect bullish and bearish engulfing structures
- Draws demand zones after bullish breakouts and supply zones after bearish breakouts
- Zones are persistent for a customizable number of bars
- Mitigated zones can optionally be removed from the chart
- Includes alerts for breakout and mitigation events
- Optional plotting of synthetic candles over price for visual clarity
How It Works:
When a synthetic candle closes above the high of a previous bearish candle, a bullish engulfing is detected, and a demand zone is created from that bearish candle’s high and low. Conversely, when price closes below the low of a previous bullish candle, a supply zone is formed. These zones stay on the chart for the user-defined duration or until they are mitigated by price, at which point they can be removed automatically.
How to Use:
- Adjust the SMA Length to control how smooth the synthetic candles appear
- Enable or disable Show Supply Zones and Show Demand Zones as needed
- Set the Zone Duration to control how long each zone persists
- Use Delete Mitigated Zones to automatically remove zones when price returns to them
- Optionally enable Show Synthetic SMA Candles to see the candle logic used in detection
- Use the built-in alerts to stay notified of new zone creation or mitigation
Note: This tool is most effective when combined with structure or trend-based strategies for confirmation.
PineConnector [Extension] | FractalystWhat is the PineConnector Extension?
The PineConnector Extension is a sophisticated bridge indicator designed to seamlessly connect Quantify trading signals with PineConnector's automated execution system.
This extension transforms manual signal monitoring into fully automated trading by interpreting Quantify's signal outputs and converting them into executable PineConnector commands.
Unlike standalone trading indicators, this extension serves as a communication layer between your signal generation (Quantify indicator) and trade execution (PineConnector), enabling hands-free trading across multiple timeframes and instruments.
How does the signal processing work?
The extension processes four distinct signal types from Quantify indicators:
Signal Values:
1 = Buy/Long signal - Opens bullish positions
-1 = Sell/Short signal - Opens bearish positions
0.5 = Close Long - Closes all long positions
-0.5 = Close Short - Closes all short positions
The script continuously monitors the "Signal Source" input, which should be connected to any Quantify indicator's output. When a signal is detected, the extension automatically generates the corresponding PineConnector command with your configured parameters.
What are the available order types and how do they work?
The extension supports three order execution modes:
Market Orders:
- Execute immediately at current market price
- Highest execution probability
- Subject to slippage during volatile conditions
Limit Orders:
- Execute only when price reaches a more favorable level
- Buy limits placed below current price
- Sell limits placed above current price
- Dynamic pip offset calculated using ATR-based volatility
Stop Orders:
- Execute when price breaks beyond specified levels
- Buy stops placed above current price
- Sell stops placed below current price
- Useful for breakout strategies
Dynamic Pricing Calculation:
The extension calculates optimal entry prices using volatility-adjusted pip offsets:
priceVolatility = ta.atr(14) / close * 100
volatilityFactor = math.min(math.max(priceVolatility / 0.1, 0.5), 2.0)
pipsOffset = 10 * volatilityFactor
How does the risk management system work?
Risk Percentage:
The extension uses percentage-based position sizing where you specify the risk per trade (0.1% to 10.0%). This value is passed to PineConnector, which calculates the exact position size based on:
- Account balance
- Stop loss distance
- Instrument specifications
- Broker settings
Stop Loss Integration:
- The "Stop Source" input connects to external stop loss levels from Quantify or other indicators. - This ensures:
- Consistent risk-reward ratios
- Dynamic stop placement based on market structure
- Automatic position sizing calculations
Multi-Asset Compatibility:
The extension automatically detects instrument types and adjusts pip calculations:
Forex: mintick * 10
Crypto: mintick * 10
Other assets: mintick * 1
What does the information display table show?
The real-time status table provides essential configuration monitoring:
Status Indicators:
- License: Shows PineConnector license ID status (Blue = Set, Red = Missing)
- Security: Displays secret key status (Blue = Set, Orange = Disabled)
- Comment: Shows trade comment or timeframe if empty
- Symbol: Current trading symbol (manual override or chart symbol)
- Order Type: Active execution mode (Market/Limit/Stop)
- Risk: Risk percentage with color coding (Blue ≤1%, Orange >1%)
- Signal: Connection status (Blue = Connected, Red = Not Set)
- Stop: Stop loss source status (Blue = Connected, Red = Not Set)
Color Coding System:
Blue: Optimal/Connected
Orange: Warning/Moderate risk
Red: Error/Not configured
How do I connect this to my Quantify indicator?
Step-by-Step Connection:
Add the PineConnector Extension to your chart containing Quantify indicator
Configure Signal Source:
In the extension settings, locate "Signal Source"
Click the dropdown and select your Quantify indicator's signal output
The extension will automatically detect custom sources vs. default price data
Configure Stop Source:
Connect "Stop Source" to your Quantify indicator's stop loss output
This enables dynamic position sizing based on stop distance
Verify Connection:
Check the information table for "Signal" and "Stop" status
Blue indicates successful connection
Red indicates default price data (not connected)
Compatible Quantify Indicators:
- Quantify Trading Model
- Any indicator outputting standardized signals (1, -1, 0.5, -0.5)
What PineConnector setup is required?
Prerequisites:
- Active PineConnector License - Required for all functionality
- MetaTrader 4/5 or supported broker platform
- PineConnector EA installed and configured
- TradingView Pro/Pro+/Premium for alert functionality
Configuration Steps:
- License ID: Enter your PineConnector license ID in the extension
- Secret Key: Optional security layer for command verification
- Symbol Mapping: Ensure symbol names match between TradingView and broker
- Alert Setup: Create TradingView alerts using this indicator
- Webhook Configuration: Point alerts to your PineConnector webhook URL
Security Features:
- Optional secret key encryption
- Symbol-specific commands
- Debug mode for testing and validation
What makes this extension unique?
Seamless Integration:
- Unlike manual signal copying, this extension provides:
- Zero-latency signal translation
- Automated parameter passing
- Consistent execution across timeframes
- No human intervention required
Dynamic Adaptability:
Volatility-adjusted pricing for limit/stop orders
Automatic symbol detection and conversion
Multi-asset pip calculations
Intelligent timeframe formatting
Professional Risk Management:
- Percentage-based position sizing
- External stop loss integration
- Multi-order type support
- Real-time status monitoring
Robust Architecture:
- Error-resistant signal processing
- Comprehensive input validation
- Debug and testing capabilities
- Security features for live trading
Installation and Setup Guide
Quick Start:
- Add "PineConnector | Fractalyst" to your chart
- Configure your PineConnector license ID
- Connect Signal Source to your Quantify indicator
- Connect Stop Source to your stop loss indicator
- Set your preferred risk percentage
- Choose order type (Market recommended for beginners)
- Create TradingView alert using this indicator
- Ensure PineConnector EA is running on your trading platform
Advanced Configuration:
- Custom symbol mapping for cross-platform trading
- Secret key implementation for enhanced security
- Comment customization for trade tracking
- Debug mode for strategy validation
Legal Disclaimers and Risk Acknowledgments
Trading Risk Disclosure
This PineConnector Extension is provided for informational, educational, and automation purposes only and should not be construed as financial, investment, or trading advice. The extension facilitates automated trading connections but does not guarantee profitable outcomes, successful trade execution, or positive investment returns.
Automated trading systems carry substantial risks including but not limited to total capital loss, system failures, connectivity issues, and adverse market conditions. The extension's performance depends on multiple third-party services including PineConnector, MetaTrader platforms, TradingView infrastructure, and broker execution quality, any of which may experience downtime, technical failures, or service interruptions that could affect trading performance.
System Dependency Acknowledgment
The extension requires continuous operation of multiple interconnected systems: TradingView charts and alerts, PineConnector services and Expert Advisors, MetaTrader platforms, broker connectivity, and stable internet connections. Any interruption or malfunction in these systems may result in missed signals, failed executions, or unexpected trading behavior.
Users acknowledge that neither the seller nor the creator of this extension has control over these third-party services and cannot guarantee their availability, accuracy, or performance. Market conditions, broker execution policies, slippage, and technical factors may significantly affect actual trading results compared to theoretical or backtested performance.
Liability Limitation
By utilizing this extension, users acknowledge and agree that they assume full responsibility and liability for all trading decisions, financial outcomes, and potential losses resulting from the use of this automated trading system. Neither the seller nor the creator shall be liable for any unfavorable outcomes, financial losses, missed opportunities, or damages resulting from the development, use, malfunction, or performance of this extension.
Past performance of connected indicators, strategies, or the extension itself does not guarantee future results. Trading outcomes depend on numerous factors including market conditions, economic events, broker execution quality, network connectivity, and proper system configuration, all of which are beyond the control of the extension creator.
User Responsibility Statement
Users are solely responsible for understanding the risks associated with automated trading, properly configuring all system components, maintaining adequate capitalization and risk management, and regularly monitoring system performance. Users should thoroughly test the extension in demo environments before live deployment and should never risk more capital than they can afford to lose.
This extension is designed to automate signal execution but does not replace the need for proper risk management, market understanding, and trading discipline. Users should maintain active oversight of their automated trading systems and be prepared to intervene manually when necessary.
Trend Blend
Trend blend is my new indicator. I use it to identify my bias when trading and filter out fake setups that are going in the wrong direction.
Trend blend utilises the 9 EMA (Red), 21 EMA (Black), and if you trade futures or Bitcoin, you can also use the VWAP (Blue).
There is also a table at the top right that displays the chart time frame bias
I prefer to use the 1-hour time frame for bias and execute the trades on 5-minute charts, mainly, and sometimes on the 1-minute for a smaller stoploss.
Here's an example of the trade I took during the London session on XAU/USD
1 hour bias was Bearish
Price broke out of the range
I waited for the London session to open, where I ended up taking a short on the 5-minute time frame as we broke out of the pre-London range
Entry was at the Fair Value Gap (5-minute bias was also Bearish as price traded into the FVG)
Stoploss was at the last high
Take Profit was the next major support level
Another set that I like to trade with the Trend blend is when price is trending bullish and price trades inside the 9 and 21 EMA, and there is a bullish candle closer above the 9 EMA with Stoploss below the low of the bullish candle and Take profit between 1-2 Risk to Reward
Same when there's a bearish trend, I wait for price to trade inside the 9 and 21 EMA, and I'll take sells when a bearish candle closes below the 9 EMA.
This setup works best in strong trends, or it can be used to enter a trade on a pullback or to scale into an existing trade.
PulseMA + MADescription
The PulseMA + MA indicator is an analytical tool that combines the analysis of the price relationship to a base Exponential Moving Average (EMA) with a smoothed Simple Moving Average (SMA) of this relationship. The indicator helps traders identify the direction and momentum of market trends and generates entry signals, displaying data as lines below the price chart.
Key Features
PulseMA: Calculates trend momentum by multiplying the number of consecutive candles above or below the base EMA by the slope of this average. The number of candles determines trend strength (positive for an uptrend, negative for a downtrend), while the EMA slope reflects the rate of change of the average. The PulseMA value is scaled by multiplying by 100.
Smoothed Average (PulseMA MA): Adds a smoothed SMA, facilitating the identification of long-term changes in market momentum.
Dynamic Colors: The PulseMA line changes color based on the price position relative to the base EMA (green for price above, red for price below).
Zero Line: Indicates the area where the price is close to the base EMA.
Applications
The PulseMA + MA indicator is designed for traders and technical analysts who aim to:
Analyze the direction and momentum of market trends, particularly with higher PulseMA Length values (e.g., 100), which provide a less sensitive EMA for longer-term trends.
Generate entry signals based on the PulseMA color change or the crossover of PulseMA with PulseMA MA.
Anticipate potential price reversals to the zero line when PulseMA is significantly distant from it, which may indicate market overextension.
How to Use
Add the Indicator to the Chart: Search for "PulseMA + MA" in the indicator library and add it to your chart.
Adjust Parameters:
PulseMA Length: Length of the base EMA (default: 50).
PulseMA Smoothing Length: Length of the smoothed SMA (default: 20).
Interpretation:
Green PulseMA Line: Price is above the base EMA, suggesting an uptrend.
Red PulseMA Line: Price is below the base EMA, indicating a downtrend.
PulseMA Color Change: May signal an entry point (recommended to wait for 2 candles to reduce noise).
PulseMA Crossing PulseMA MA from Below: May indicate a buy signal in an uptrend.
Zero Line: Indicates the area where the price is close to the base EMA.
Significant Deviation of PulseMA from the Zero Line: Suggests a potential price reversal to the zero line, indicating possible market overextension.
Notes
The indicator generates trend signals and can be used to independently identify entry points, e.g., on PulseMA color changes (waiting 2 candles is recommended to reduce noise) or when PulseMA crosses PulseMA MA from below.
In sideways markets, it is advisable to use the indicator with a volatility filter to limit false signals.
Adjusting the lengths of the averages to suit the specific instrument can improve signal accuracy.
Deviation Trend Profile [BigBeluga]🔵 OVERVIEW
A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution.
This is an experimental indicator designed for educational and learning purposes only.
🔵 CONCEPTS
Trend Detection via SMA Slope: Detects trend shifts when the slope of the SMA exceeds a ±0.1 threshold.
Standard Deviation Zones: Calculates ±1, ±2, and ±3 levels from the SMA using ATR, forming dynamic envelopes around the mean.
Trend Distribution Profile: Builds a histogram that shows how often price closed within each deviation zone during the active trend phase.
🔵 FEATURES
Trend Signals: Immediate shift markers using colored circles at trend reversals.
SMA Gradient Coloring: The SMA line dynamically changes color based on its directional slope.
Trend Duration Label: A label above the histogram shows how many bars the current trend has lasted.
Trend Distribution Histogram: Visual bin-based profile showing frequency of price closes within deviation bands during trend lookback period.
Adjustable Bin Count: Set the granularity of the distribution using the “Bins Amount” input.
Deviation Labels and Zones: Clearly marked ±1, ±2, ±3 lines with consistent color scheme.
Trend Strength Insight:
• Wide profile skewed to ±2/3 = strong directional trend.
• Profile clustered near SMA = potential trend exhaustion or range.
🔵 HOW TO USE
Use trend shift dots as entry signals:
• 🔵 = Bullish start
• 🔴 = Bearish start
Trade with the trend when price clusters in outer zones (±2 or ±3).
Be cautious or fade the trend when price distribution contracts toward the SMA.
View across multiple timeframes for trend confluence or divergence.
🔵 CONCLUSION
Deviation Trend Profile visualizes how price distributes during trends relative to statistical deviation zones.
It’s a powerful confluence tool for identifying strength, exhaustion, and the rhythm of price behavior—ideal for swing traders and volatility analysts alike.
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands
Overview
MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities.
Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe.
Features
Core Component: Built around RSI MA, not raw RSI, for smoother trend signals.
Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H).
Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals.
Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes.
Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation.
Screenshot Panels Configuration
Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands).
Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment.
Band Calculation Methods
The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics:
Fixed Bands
Set at a fixed point value (default: 10) above and below RSI MA.
Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40.
Use Case: Best for stable markets or fixed-range preferences.
Tip: Adjust the band value to widen or narrow the range based on asset volatility.
Percent Bands
Calculated as a percentage of RSI MA (default: 10%).
Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45.
Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA.
Tip: Experiment with percentage values to match typical price swings.
Standard Deviation Bands (StdDev)
Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10).
Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40.
Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands.
Use Case: Best for dynamic markets with fluctuating volatility.
Configuration Options
RSI Length: Set RSI calculation period (default: 20).
MA Length: Set RSI MA period (default: 20).
MA Type: Choose SMA or EMA for RSI MA (default: EMA).
Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis.
Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30).
Background Coloring: Enable/disable for each timeframe to highlight directional alignment.
How to Use
Add Indicator: Load it onto your TradingView chart.
Setup:
Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands.
Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring.
Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy.
Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands.
Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term.
Notes
Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust.
StdDev Bands: Lower the default value (10) to avoid overly wide bands.
Versatility: Works across markets (stocks, forex, crypto).
Market Matrix ViewThis technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs.
🟡 Multi-Timeframe Trends
➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A."
➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe:
15m: Fast EMA 42, Slow EMA 170
1h: Fast EMA 40, Slow EMA 100
4h: Fast EMA 36, Slow EMA 107
Daily: Fast EMA 20, Slow EMA 60
🟡 Smart Flow & RVOL
➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity").
➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier."
➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode.
🟡 ADX & RSI
This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral").
➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing.
➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode.
🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively.
🟡 Volume Spikes
➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity.
➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike.
🟡 Divergences (Volume Divergence Detection)
➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals.
➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0).
🟡 Adaptive Stop-Loss (ATR)
➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier
🟡 Alerts for trend direction changes in the Info Panel:
➤ Triggers notifications when the trend shifts to Bullish (when +DI crosses above -DI) or Bearish (when +DI crosses below -DI), helping you stay informed about key market shifts.
How to use: Set alerts in Trading View for “Trend Changed to Bullish” or “Trend Changed to Bearish” with “Once Per Bar Close” for reliable signals.
🟡 Settings (Inputs)
➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters:
Show Info Panel: Enables/disables the information panel (default: enabled).
Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled).
Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency).
Show Divergence: Enables/disables the display of divergence labels (default: enabled).
Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity).
Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing).
RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20).
RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14).
Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency).
Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency).
Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume).
🟡 This indicator is created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
Adaptive Multi-MA OptimizerAdaptive Multi-MA Optimizer
This indicator provides a powerful, customizable solution for traders seeking dynamically optimized moving averages with precision and control. It integrates multiple custom-built moving average types, applies real-time volatility-based optimization, and includes an optional composite smoothing engine.
🧠 Key Features
Dynamic Optimization:
Automatically selects the optimal lookback length based on market volatility stability using a custom standard deviation differential model.
Multiple Custom MA Types:
Includes fully custom implementations of:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted MA)
DEMA (Double EMA)
TEMA (Triple EMA)
Hull MA
ALMA (Arnaud Legoux MA)
Composite MA Option:
A unique "Composite" mode blends all supported MAs into a single average, then applies optional smoothing for enhanced signal clarity.
Dynamic Smoothing:
The composite mode supports volatility-adjusted smoothing (based on optimized lookback), making it adaptable to different market regimes.
Fully Custom Logic:
No built-in MA functions are used — every moving average is hand-coded for transparency and educational value.
⚙️ How It Works
Optimization:
The script evaluates a range of lengths (minLen to maxLen) using the standard deviation of price returns. It selects the length with the most stable recent volatility profile.
Calculation:
The selected MA type is calculated using that optimized length. If "Composite" is chosen, all MA types are averaged and smoothed dynamically.
Visualization:
The adaptive MA is plotted on the chart, changing color based on its position relative to price.
📌 Use Cases
Trend-following strategies that adapt to different market conditions.
Traders wanting a high-fidelity composite of multiple MAs.
Analysts interested in visualizing market smoothness without lag-heavy signals.
Coders looking to learn how to build custom indicators from scratch.
🧪 Inputs
MA Type: Choose from 8 MA types or a blended Composite.
Lookback Range: Control min/max and step size for optimization.
Source: Choose any price series (e.g., close, hl2).
⚠️ Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice, trading advice, or investment recommendations. Use of this script is at your own risk. Past performance does not guarantee future results. Always perform your own analysis and consult with a qualified financial advisor before making trading decisions.
Dynamic Laguerre Filter Bands | OttoThis indicator combines trend-following and volatility analysis by enhancing the traditional Laguerre filter with a dynamic, volatility-adjusted band system. Instead of using fixed thresholds, the bands adapt in real-time to changing market conditions by applying smoothed standard deviation calculations. This design keeps the indicator responsive to significant price movements while effectively filtering out short-term market noise, resulting in more accurate trend identification and breakout signals.
Core Concept
The indicator is built around the following key components:
Laguerre Filter:
The Laguerre filter is designed to smooth out price data by reducing market noise while still being quick enough to detect real changes in price direction. Its goal is to create a clear, smooth trend line that helps traders/investors focus on the overall market trend without getting distracted by small, random price swings.
It uses a parameter called gamma to control how it balances smoothness and responsiveness:
A lower gamma gives more weight to recent price data, making the filter react faster to new price changes. This means the trend line is more sensitive but may also be less smooth and more prone to small fluctuations.
A higher gamma gives more weight to past price data, making the filter smoother and less sensitive to quick changes. This helps reduce noise and produces a steadier trend line, but it also introduces more lag, meaning the filter reacts slower to new price moves.
By adjusting gamma, the Laguerre filter lets you choose the balance between following price changes quickly and having a stable, noise-free trend signal.
Standard Deviation:
shows how much price varies from the mean. In this indicator, it’s used to measure market volatility.
Volatility Bands: The upper and lower bands are based on an EMA-smoothed standard deviation of price. The EMA reduces sudden jumps in volatility, creating smoother and more stable bands that still respond to changing market conditions. These bands are plotted around the Laguerre filter line, expanding and contracting in a controlled way to stay aligned with real market movement while avoiding short-term noise.
Signal Logic:
A long signal is triggered when the close price crosses above the upper band.
A short signal occurs when the close price falls below the lower band.
⚙️ Inputs
Source: Price source used in calculations
Gamma: Adjusts how much the Laguerre filter responds to price changes. Lower gamma values make the filter react more to recent prices, while higher values give more influence to older data, making the line smoother but slower to respond.
Volatility Length: Period used to calculate standard deviation
Volatility Smoothing Length: EMA smoothing length for standard deviation
Multiplier: Scales the width of the bands based on volatility
📈 Visual Output
Laguerre Filter Line: Plots the laguerre filter line, colored dynamically based on signal direction (green for bullish, purple for bearish)
Upper & Lower Bands: Volatility-based bands that adjust with market conditions. (green for bullish, purple for bearish)
Glow Effect: Optional glow layer to enhance visibility of the laguerre filter trend line (green for bullish, purple for bearish)
Bar Coloring: Candlesticks and bar colors reflect the active signal state for fast visual interpretation (green for bullish, purple for bearish)
How to Use
Apply the indicator to your chart and monitor for signal events:
Long Signal: When price closes above the upper band
Short Signal: When price closes below the lower band
🔔 Alerts
This indicator supports optional alert conditions you can enable for:
Long Signal: Close price crossing above the upper band
Short Signal: Close price crossing below the lower band
⚠️ Disclaimer:
This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
PRO Investing - LevelPRO Investing - Level
📊 Dynamic Support/Resistance
This indicator plots the PRO Investing Level, defined as the midpoint between the highest high and lowest low over the past 252 trading days (default lookback period, equivalent to ~1 year). It acts as a key mean-reversion reference level, useful for identifying potential support/resistance zones or market equilibrium levels.
Features:
🕰️ Option to display only today’s level or historical levels.
⚙️ Customizable lookback period for flexibility across timeframes and strategies.
📉 Teal line plotted directly on the chart, highlighting this institutional-grade level.
Ideal for traders looking to anchor price action to significant historical ranges—particularly useful in mean-reversion, breakout, or volatility compression strategies.
Adaptive RSI Oscillator📌 Adaptive RSI Oscillator
This indicator transforms the classic RSI into a fully adaptive, self-optimizing oscillator — normalized between -1 and 1, dynamically smoothed, and enhanced with divergence detection.
🔧 Key Features
Self-Optimizing RSI: Automatically selects the optimal RSI lookback length based on return stability (no hardcoded periods).
Dynamic Smoothing: Adapts to market conditions using a fraction of the optimized length.
Normalized Output : Converts traditional RSI to a consistent scale across all assets and timeframes.
Divergence Detection: Compares RSI behavior vs. price percentile ranks and scales the signal accordingly.
Gradient Visualization: Color-coded background and plot lines reflect the strength and direction of the signal with soft transitions.
Neutral Zone Adaptation: Dynamically widens or narrows the zone of inaction based on volatility, reducing noise.
🎯 Use Cases
Identify extreme momentum zones without relying on fixed 70/30 RSI levels
Detect divergences early with adaptive filtering
Highlight potential exhaustion or continuation
⚠️ Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult a licensed financial advisor before making investment decisions. Use at your own risk.
Multi-Volatility Adjusted Moving Average🎯 Core Concept
The Multi-Volatility Adjusted Moving Average (MVAMA) is an advanced technical indicator that creates an adaptive moving average with a built-in upward bias. Unlike traditional moving averages that simply follow price, this indicator adjusts upward based on market volatility, making it particularly useful for identifying dynamic resistance levels and trend strength.
🔧 How It Works
Key Principle: Upward Volatility Bias
Base Calculation: Starts with your chosen moving average (EMA, SMA, etc.)
Volatility Measurement: Calculates market volatility using one of 5 different methods
Upward Adjustment: Always adds volatility adjustment upward: Adaptive MA = Base MA + Volatility Adjustment
Dynamic Resistance: Creates a moving resistance level that adapts to market conditions
📊 5 Volatility Calculation Methods
1. Simple (High-Low Range)
Method: (High - Low) / Close × 100
Best For: Clean, straightforward volatility measurement
Use Case: General purpose, all market conditions
2. Parkinson (Range-Based Log Volatility)
Method: √(ln(High/Low)²) with safety bounds
Best For: Intraday volatility without using open/close gaps
Use Case: Choppy markets, day trading
3. ATR (Average True Range)
Method: Traditional ATR as percentage of price
Best For: Handling gaps and limit moves
Use Case: Swing trading, gap-prone markets
4. Standard Deviation (Statistical)
Method: Standard deviation of price returns
Best For: Academic/statistical approach
Use Case: Backtesting, quantitative analysis
5. Garman-Klass (OHLC Optimized)
Method: 0.5×ln(H/L)² - (2ln2-1)×ln(C/O)²
Best For: Most comprehensive volatility using all OHLC data
Use Case: Professional trading, maximum accuracy
🎛️ 12 Moving Average Types
Fast & Responsive:
HMA (Hull): Minimal lag, very responsive
DEMA/TEMA: Double/Triple exponential for speed
WMA: Weighted for recent price emphasis
Balanced:
EMA: Classic exponential (default)
ALMA: Arnaud Legoux for balanced response
LSMA: Linear regression trend following
Smooth & Stable:
SMA: Simple moving average
SMMA/RMA: Smoothed for noise reduction
TRIMA: Triangular for maximum smoothness
VWMA: Volume-weighted for market participation
💡 Practical Applications
Trading Uses:
Dynamic Resistance: Acts as adaptive resistance level
Trend Strength: Higher volatility = stronger adjustment = more significant level
Entry Timing: Price touching the adaptive MA can signal rejection points
Risk Management: Volatility bands show market uncertainty
Market Analysis:
Low Volatility: Adaptive MA stays close to base MA (consolidation)
High Volatility: Adaptive MA moves significantly above base MA (trending/breakout)
Trend Confirmation: Sustained distance between price and adaptive MA shows trend strength
⚙️ Key Features
Risk Management:
Volatility Capping: Prevents extreme adjustments (default 15% max)
Safety Bounds: All calculations protected against infinite/NaN values
Parameter Limits: Sensible ranges for all inputs
Visualization Options:
Base MA Display: Show underlying moving average
Volatility Bands: Visual representation of volatility adjustment
Custom Colors: Professional color schemes
Clean Interface: Organized input groups
Professional Features:
Multi-timeframe Support: Works on any timeframe
Alert Framework: Ready-to-enable price crossover alerts
🎯 Ideal For:
Traders Who Want:
Dynamic support/resistance levels
Volatility-aware trend analysis
Adaptive position sizing based on market conditions
Professional-grade technical analysis tools
Market Conditions:
Trending Markets: Volatility creates meaningful resistance levels
Volatile Markets: Adaptive adjustment handles changing conditions
All Timeframes: From scalping to position trading
🔍 Unique Advantages:
Always Upward Bias: Unlike oscillating indicators, always provides clear directional bias
Multi-Volatility Support: Choose the best volatility method for your market/style
Comprehensive MA Library: 12 different moving average types
Built-in Risk Management: Prevents extreme values that break other indicators
Professional Implementation: Publication-ready code with proper documentation
This script transforms traditional moving averages into intelligent, volatility-aware tools that adapt to market conditions while maintaining a consistent upward bias for clear directional guidance.
ATR-Multiple from 50SMAThis indicator provides a nuanced view of price extension by calculating the distance between the current price and its 50-period Simple Moving Average. This distance is not measured in simple percentage terms but is quantified in multiples of the Average True Range (ATR), offering a volatility-adjusted perspective on how far an asset has moved from its mean.
The primary goal is to help traders identify potentially overextended conditions, which can often precede price consolidation or reversals. As a general guideline, when an asset's price stretches to multiples of 7 ATRs or more above its 50-day SMA, it often enters a zone where significant profit-taking may occur. By visualizing this extension, the indicator can serve as a powerful tool for gauging when to consider taking profits on existing long positions. Furthermore, it can act as a cautionary signal, helping traders avoid initiating new long positions in assets that are already significantly stretched and may be poised for a pullback.
Features
Volatility-Adjusted Extension
Measures the distance from the 50 SMA in terms of ATR multiples, providing a more standardized way to compare extension across different assets and time periods.
Daily Timeframe Consistency
By default, the indicator uses the daily SMA and ATR for its calculations, regardless of the chart's current timeframe. This ensures a consistent and meaningful measure of extension rooted in the daily trend.
Histogram Visualization
Displays the result as a clear histogram in a separate pane, making it easy to track the extension level over time and identify historical extremes.
Dynamic Color-Coding
The histogram bars are color-coded to visually highlight different levels of extension. The colors shift as the price moves further from the mean, providing an intuitive at-a-glance reading.
Key Threshold Markers
Includes pre-set horizontal lines at the 7 and 10 ATR multiples to clearly mark the zones of potential profit-taking and extreme extension, respectively.
Built-in Alerts
Comes with configurable alert conditions that can notify you when the price reaches the "profit-taking" threshold (7 ATRs) or the "extreme extension" threshold (10 ATRs).
Customization Options
MA & ATR Periods
You can adjust the length for the Simple Moving Average (default 50) and the Average True Range (default 14) to suit your specific analytical needs.
Timeframe Source
A toggle allows you to switch between always calculating using daily data (the default and recommended setting) or using the data from the current chart's timeframe.
Color Display Style
You can choose between a smooth color gradient that transitions elegantly with the extension level or a distinct, step-based color display for a clearer visual separation of the defined zones.
Full Color Scheme Control
Every visual element is fully customizable. You can change the colors for the regular extension, the "get ready," "profit-taking," and "extreme" levels, as well as the horizontal reference lines.
