Gap Hunter Pro [Auto-Alerts + Fill Detection]Gap trading is profitable, but staring at charts waiting for a fill is tedious.
Gap Hunter Pro automates the process by instantly detecting valid gaps, drawing dynamic support/resistance zones, and alerting you exactly when action happens. Unlike standard gap indicators, this script manages the lifecycle of the gap—tracking it from creation to partial entry, and finally removing it once it is fully filled.
Key Features:
🚀 Smart Detection: Automatically finds "Gap Ups" and "Gap Downs" based on your custom threshold (filter out small noise).
🔔 Dual Alerts:
Entry Alert: Get notified the moment price touches the gap zone.
Fill Alert: Get a second notification when the gap is 100% closed (filled).
🧹 Auto-Cleanup: Zones automatically delete themselves from the chart once filled, keeping your workspace clean.
🎨 Fully Customizable: Control colors, border thickness, history depth, and text labels.
How to Use:
Add to Chart: Works on any timeframe (15m recommended for Day Trading, Daily for Swing).
Adjust Settings: Set "Max Gaps to Keep" to control history depth.
Set the Alert (Crucial):
Click the Alert button in TradingView.
Condition: Select Gap Hunter Pro.
Action: Select "Any alert() function call".
You now have a fully automated gap scanner running 24/7.
Indicatori e strategie
RSI: Evolved [DAFE]RSI: Evolved : The Ultimate Momentum Intelligence Engine
30+ RSI Engines. 15+ Zero-Lag Smoothers. The Revolutionary Quantum Horizon. This is Not Just an RSI. This is the Evolution of Momentum.
█ PHILOSOPHY: BEYOND THE OSCILLATOR, INTO THE NEXUS
The standard Relative Strength Index is a relic. It is a brilliant, timeless concept trapped in a rigid, one-dimensional formula developed in the 1970s. It assumes all market momentum is uniform, that all volatility is equal, and that a single mathematical lens is sufficient to view the infinitely complex character of modern markets. It is not.
RSI: Evolved was not created to be another RSI. It was engineered to be the definitive evolution of momentum analysis. This is not an indicator; it is a powerful, interactive research environment. It is a laboratory where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a momentum oscillator that is perfectly adapted to the unique physics of your market, timeframe, and trading style.
This suite deconstructs the very DNA of the RSI, rebuilding it with a library of over 30 distinct, mathematically diverse calculation engines . From timeless classics and exotic variations to proprietary DAFE quantum models, this suite provides an unparalleled arsenal for quantifying the unseen forces of market momentum.
█ THE EVOLUTION: WHAT MAKES THIS UNLIKE ANY OTHER RSI?
This is not just a collection of features; it is a seamlessly integrated, multi-layered analytical system. It stands in a class of its own for several key reasons:
The 30+ Algorithm Core: At its heart is a library of over 30 unique RSI calculation engines. You can now choose an engine based on its mathematical properties—whether you need the zero-lag responsiveness of a Hull RSI, the time-warping capability of a Laguerre RSI, or the predictive power of a DAFE Quantum Fusion RSI.
Advanced Post-Processing: After the RSI is calculated, it passes through a multi-stage refinement process. First, choose from over 15+ professional-grade smoothing algorithms to create a crystal-clear signal. Then, activate the intelligent Filter Module to scale the RSI's output based on trend, volatility, or momentum regimes.
The Quantum Horizon & Temporal Wave: This is a revolutionary leap in data visualization. The indicator projects the historical momentum waves from higher timeframes directly onto your main price chart as a futuristic, holographic overlay. You can now see the alignment (or divergence) of macro momentum without ever looking away from price action. This is multi-timeframe analysis evolved into an art form.
Dynamic, Volatility-Adaptive Zones: Static 70/30 levels are obsolete. Evolved's "Quantum Zones" are alive; they "breathe" with market volatility. They automatically widen during powerful trends to keep you in a winning trade and tighten during choppy consolidation to help you catch reversals with greater precision.
Comprehensive Analytical Modules: This is a full suite of institutional-grade tools, including a powerful regular and hidden Divergence Engine , a multi-timeframe Consensus Dashboard , and dynamic RSI Bands (Bollinger, Keltner, etc.) plotted directly on the oscillator.
█ THE QUANTUM HORIZON & TEMPORAL WAVE: SEEING MOMENTUM IN 4D
This groundbreaking feature fundamentally changes how you interact with multi-timeframe momentum data. The Quantum Horizon is a dedicated visualization module that projects up to three "Temporal Waves" directly onto your main price chart. Each wave is a historical representation of a momentum oscillator (RSI, MFI, or Stoch RSI) pulled from a higher timeframe of your choice. Instead of flipping between charts or cluttering your screen with multiple indicators, you get an immediate, intuitive, and aesthetically stunning view of the market's complete momentum structure.
Each Temporal Wave is a self-contained universe, rendered as a glowing, flowing line within its own gridded channel. This channel is not just for show; it represents the 0-100 scale of the oscillator, with key 30, 50, and 70 levels marked for reference. You can see the history of momentum, its peaks, its troughs, and its crossovers with its own signal line. This allows you to visually identify macro divergences, trend alignment, and exhaustion points on your primary trading chart, transforming your analysis from a fragmented process into a single, unified experience. This is no longer just an indicator; it is a true Heads-Up Display for the flow of time and momentum.
█ THE ARSENAL: A DEEP DIVE INTO THE RSI & SMOOTHING ENGINES
This is your library of mathematical DNA. Understanding your tools is the first step to mastery. The 30+ RSI types are grouped into distinct families, each with a unique philosophy.
THE RSI ENGINE FAMILIES
The Classics (Wilder's, Cutler's, EMA, WMA): These are the foundational building blocks of momentum analysis. They provide a reliable, time-tested baseline. Wilder's uses the RMA for a unique smoothing characteristic, while Cutler's uses the SMA for a more direct, arithmetic average of gains and losses. The EMA and WMA versions offer increased responsiveness by weighting recent price action more heavily.
The Low-Lag Warriors (DEMA, TEMA, Hull, ZLEMA): This family is engineered specifically to combat the inherent lag of classical averages. The Double and Triple EMA (DEMA, TEMA) use a composite of multiple EMAs to reduce latency. The Zero-Lag EMA (ZLEMA) attempts to remove lag by adjusting the source price with its own past data. The Hull RSI is a standout, using a weighted moving average calculation to achieve a remarkable balance of extreme smoothness and near-zero lag, making it ideal for scalping.
The Exotics (Laguerre, Connors, Fisher, KAMA): These engines employ advanced mathematical concepts to view momentum through a different lens. The Laguerre RSI , based on John Ehlers' work, uses a time-warping, non-linear filter that can be extremely responsive to changes in trend. The Fisher Transform RSI normalizes the output to a Gaussian distribution, making peaks and troughs sharper and more defined for clearer signals. The KAMA Adaptive RSI is a "smart" algorithm that automatically slows its calculation in choppy markets and speeds it up in strong trends.
The Volume-Based (Volume-Weighted, MFI, VWAP-Weighted): This family infuses price momentum with volume data, providing a measure of conviction. They answer not just "how fast is price moving?" but "how much participation is behind the move?". The Money Flow RSI (MFI) is a classic, while the Volume-Weighted and VWAP-Weighted versions directly incorporate volume into the gain/loss calculation, giving more weight to high-volume bars.
The DAFE Proprietary Engines (The "God Mode" Algos): The crown jewels of the Laboratory, these are custom-built, proprietary algorithms you will not find anywhere else.
DAFE Quantum Fusion: This engine calculates RSI on three harmonic timeframes simultaneously (based on the Golden Ratio) and "superimposes" them using a dynamic weighting system based on volume and momentum confidence. It is the most robust and balanced all-rounder.
DAFE Kinetic Energy: Based on the physics principle that Momentum = Mass × Velocity. Standard RSI only sees Velocity (price change). Kinetic RSI weights every price move by Relative Volume (Mass), measuring the true "force" of the market.
DAFE Spectral: This engine uses concepts from Digital Signal Processing to analyze the frequency of price moves. It automatically differentiates between the "Signal" (the underlying trend) and the "Noise" (the chop), and adapts its calculation speed accordingly.
DAFE Entropy Flow: A unique engine that uses Information Theory to measure market "disorder." In chaotic, high-entropy markets, it automatically dampens its own signal to avoid whipsaws. In orderly, low-entropy trends, it sharpens its signal to be more responsive.
THE POST-SMOOTHING FILTERS
After your primary RSI is calculated, you can pass it through one of over 15 advanced filters for unparalleled clarity.
Low-Lag (Hull, DEMA, TEMA): Ideal for responsive smoothing that tracks the raw RSI closely.
Adaptive (KAMA, VIDYA): Perfect for smart, regime-aware smoothing that is slow in chop and fast in trends.
DSP & Scientific (SuperSmoother, Butterworth, Gaussian, Jurik-Style): The pinnacle of signal processing. These filters provide the absolute cleanest signal with minimal lag, leveraging advanced digital signal processing techniques to surgically remove noise.
█ THE ANALYTICAL MODULES: BEYOND THE LINE
Dynamic Zones: Your overbought/oversold levels (e.g., 70/30) are no longer static lines. They are living, breathing zones that respond to market volatility. They automatically widen during powerful, high-volatility trends to prevent you from selling a strong uptrend too early. Conversely, they tighten during low-volatility consolidation, allowing you to catch smaller, mean-reverting moves with greater precision. This is a crucial evolution for trading in modern, dynamic markets.
Divergence Engine: The automated engine works tirelessly in the background to detect critical disconnects between price and momentum. It automatically identifies and plots both Regular Divergences (which often signal major trend reversals) and Hidden Divergences (which often signal trend continuations after a pullback) with clear on-chart and in-pane markers and lines.
MTF Dashboard: Context is everything. This module provides an instant read on the momentum across three higher timeframes of your choice. The "Consensus" reading tells you if all timeframes are aligned ("ALL BULL" or "ALL BEAR"), providing powerful contextual confirmation for your trades and helping you avoid taking signals that go against the macro flow.
RSI Bands: This module applies a full-fledged band methodology (Bollinger Bands, Keltner Channels, etc.) directly to the RSI line itself. A pierce of the upper or lower band is a powerful sign of a statistical extreme, often preceding a sharp reversion back to the mean. A "squeeze" in the RSI bands often precedes an explosive move in momentum.
Signal Line & Histogram: The fast-moving RSI line is paired with a slower, smoother Signal Line of your choice. Crossovers between these two lines can be used as effective entry/exit triggers that are often more reliable than simple overbought/oversold levels. The histogram visually represents the momentum (the velocity and acceleration) of the RSI itself, turning from light to dark green in a strengthening uptrend, for example.
█ DEVELOPMENT PHILOSOPHY
RSI: Evolved was forged from a single, guiding principle: momentum is not a fixed property; it is a dynamic, multi-faceted force with a unique character in every market. This tool was designed for the trader who is no longer satisfied with a one-size-fits-all indicator. It is for the analyst, the tinkerer, the scientist—the individual who seeks to deconstruct, understand, and master the hidden physics of market momentum. This is a tool for forging your own alpha, not just following a lagging line.
RSI: Evolved is designed to give you that patience and discipline, providing a crystal-clear, multi-dimensional view of momentum so you can act with precision when the perfect setup finally arrives.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence on momentum, not financial advice. It should be used as a core component of a complete trading strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
START WITH A ROBUST BASE: The "DAFE Quantum Fusion" engine with the "SuperSmoother" is an exceptionally powerful and well-balanced starting point for most markets.
USE CONFLUENCE: The highest probability signals occur when multiple modules agree. For example: a Regular Bullish Divergence, as the RSI crosses up from an Extreme Oversold Dynamic Zone, while the Quantum Horizon shows the higher timeframes are also starting to turn up.
"The hard part is not making the decision to buy or sell, but having the patience and discipline to wait for the right setup."
— Mark Weinstein
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Strength. Trade with RSI: Evolved
Blockcircle Global Central Bank Balance Sheet and Money SupplyOVERVIEW
This indicator aggregates money supply (M2) and central bank balance sheet data from the world's largest economies into a single, unified view of global liquidity conditions. Rather than manually tracking dozens of separate data feeds or building your own aggregation logic, you get a ready-to-use tool that pulls from FRED, TradingView Economics, and real-time FX rates to convert everything into USD terms automatically.
Global liquidity has historically served as a leading indicator for risk assets. When central banks expand their balance sheets and the money supply grows, capital tends to flow into equities, crypto, and other risk-on assets. When liquidity contracts, markets often follow. This indicator gives you that macro context directly on your chart.
The global liquidity movement (expansionary or contractionary) often leads to asset price appreciation/depreciation in CRYPTOCAP:BTC , SP:SPX , etc
WHAT MAKES IT ORIGINAL AND DIFFERENT
Combines both M2 money supply AND central bank balance sheet data in one place, whereas most existing tools focus on only one metric
Aggregates 11 economies for M2 (USA, EU, China, Japan, UK, Canada, India, Russia, Brazil, Australia, Switzerland) and 10 central banks for balance sheet data
Automatically handles currency conversion using live FX rates so all values display in USD
Includes a dedicated US Net Liquidity calculation (Fed Balance Sheet minus Reverse Repo minus TGA) which filters out temporary distortions that other aggregate tools ignore
Provides granular country by country breakdown in the information table so you can identify which central banks are driving the aggregate trend
Offers four moving average types (SMA, EMA, WMA, RMA) for trend smoothing with configurable length
HOW IT WORKS
The indicator requests monthly M2 data from TradingView's Economics feeds for each included country. Central bank balance sheet data is pulled the same way. All non-USD values are converted using daily FX rates from major currency pairs. The script then sums these converted values to produce the Global M2 and Global CBBS lines.
For US liquidity specifically, the script pulls weekly data for the Reverse Repo Program (RRP) and Treasury General Account (TGA) from FRED. Net Liquidity is calculated as: Fed Balance Sheet minus RRP minus TGA. This formula removes funds parked in reverse repos and Treasury cash balances, showing what is actually circulating in the financial system.
KEY FEATURES
Global M2 Money Supply line tracking 11 major economies with individual toggles for each country
Global Central Bank Balance Sheet line tracking 10 central banks with individual toggles
US-specific components, including Reverse Repo, TGA, and Net Liquidity as separate plot lines
Moving average overlays with selectable type and length for identifying trend direction
Fill the option between M2 and CBBS lines to visualize the gap between money supply and central bank assets
Value labels at line endpoints showing current readings and period-over-period percentage change
Comprehensive information table with optional country breakdown view
Full color customization for all lines, configurable line width, and style options
Alert conditions for significant M2 and CBBS changes plus MA crossover signals
HOW TO USE
Add to any chart and observe the overall direction of global liquidity. Rising lines generally support risk on positioning, while declining lines suggest caution
Watch for divergences between the M2 and CBBS lines. If money supply grows faster than central bank assets, private credit may be expanding. If CBBS rises faster, central banks are actively injecting liquidity
Use the US Net Liquidity line to understand short term dollar liquidity conditions separate from longer term global trends
Enable moving averages to filter noise and identify when liquidity trends are changing direction
Toggle individual countries on or off in the settings to see how specific regions contribute to the total
Reference the information table for exact values and percentage changes without leaving your chart
SETTINGS BREAKDOWN
Table Settings: position, text size, and whether to show the country breakdown
Display Settings: toggle visibility for each line, fill area, value labels, percent labels, and the info table
Line Styling: customize colors for each metric, adjust line width, and select solid, dashed, or dotted style
Moving Average: enable or disable MA overlays for M2 and CBBS, select MA type, and set length
Global M2 Countries: individually enable or disable each of the 11 economies
US Liquidity Components: toggle RRP and TGA data
Global CBBS Countries: individually enable or disable each of the 10 central banks
Alerts: set percentage threshold for change based alerts
IMPORTANT CONSIDERATIONS
Data updates depend on the publication schedule of each source. M2 and CBBS data are typically monthly with some delay. US Fed Balance Sheet, US RRP and US TGA update weekly
FX conversion uses daily close rates which may introduce minor discrepancies during volatile currency periods
Some emerging market data may have longer reporting lags than developed market data
Hope you find it useful and impactful to your trading and investment decisions! If you have any questions at all, please just ask, happy to help
Peak Trading Activity Graphs [LuxAlgo]The Peak Trading Activity Graphs displays four graphs that allow traders to see at a glance the times of the highest and lowest volume and volatility for any month, day of the month, day of the week, or hour of the day. By default, it plots the median values of the selected data for each period. Traders can enable the Median Delta feature to further highlight differences in the data. The graphs are customizable in width and height and feature gradient colors by default.
🔶 USAGE
The tool is simple yet powerful. Using the three main parameters on the settings panel, traders can display up to four different graphs and up to 16 different configurations.
There are two main types of data: volume and volatility. There are also four different time periods: months, days of the month, days of the week, and hours of the day. There is also the possibility of displaying the raw medians or the delta between them.
Understanding which time periods have the most and least volume and volatility is essential for any trader. From avoiding trading during periods of low volume to properly sizing positions during periods of high volatility, there are multiple use cases directly related to improving execution and risk management.
🔹 Months
This chart shows the monthly volume and volatility of NQ as medians at the top and as the delta of medians at the bottom.
As we can see on the left-hand chart, the volume is fairly consistent throughout the year. January, March, and October have the highest volume, and December has the lowest volume for obvious reasons. Note the bottom chart with the delta feature enabled, which clearly shows the top and bottom periods.
On the right, we have volatility, which is also evenly distributed throughout most months. October is the most volatile month, and March is the least volatile month. The differences are also very clear on the bottom chart with delta enabled.
Traders may want to compare median volatility and volume by month to size positions and favor exposure during historically high-activity months.
🔹 Days of Month
The same NQ charts are shown, but in this case, the Days of Month period has been selected. As you can see, this displays a calendar-like graph. The volume is on the left, the volatility is on the right, and the delta feature is enabled on the bottom charts. This feature allows for stronger differences in gradient.
The top charts show that the raw medians of both volume and volatility are evenly distributed. We need to enable the delta feature on the bottom charts to see where the most and least volume and volatility are.
Traders can use median activity by calendar day to anticipate liquidity expansions or contractions and adjust trade frequency.
🔹 Days of Week
In this case, we have BTC charts with the same layout as before. Notably, the difference in volume on weekends is not as pronounced from a volatility perspective on those same days.
A practical use case can be differentiate high-risk, high-participation weekdays from low-activity sessions to select trend or range-based strategies.
🔹 Hours of Day
This shows the volume and volatility of each hour of the day for gold futures. As we can see, the most volume and volatility occur during the three hours around the RTH open at 8:00, 9:00, and 10:00 a.m.
Traders may want to isolate hours with the highest median volatility and volume to concentrate execution and avoid low-liquidity periods.
🔹 Assets Comparison
This tool allows us to compare different assets over the same period. In this case, we are comparing the hours of the day for 10-year notes, the S&P 500, silver, and the yen. Each asset has a different volatility profile throughout the day.
With the Delta feature enabled, we can clearly see the differences. The 10Y Notes move from 7:00 to 9:00 and from 2:00 to 9:00. The Yen moves from 7:00 to 9:00 and from 2:00 to 9:00. Silver moves from 8:00 to 10:00. The S&P 500 moves from 8:00 to 9:00 and from 14:00 to 15:00. All times are in exchange time.
🔹 Sizing & Coloring Graphs
Traders can adjust the width and height of the graphs, as well as the text size, at will.
Traders can choose from four different color configurations in the settings panel.
🔶 SETTINGS
Data: Select the type of data to display: Volume or Volatility.
Period: Select the time period to display: Month, Day of Month, Day of Week, or Hours.
Display delta between medians. Display the difference between the medians as a percentage. The smaller median is 0 and the larger median is 100. Enabling this feature highlights the differences between values.
🔹 Graph
Graph: Select the graph location.
Size: Select the graph size.
Width: Select the graph width.
Height: Select the height of the graph.
🔹 Style
Colors: Select a color map: Viridis, Plasma, Magma, or Custom.
Custom Cold: Select a custom color for cold (low values).
Custom Lukewarm: Select a custom color for lukewarm (medium values).
Custom Hot: Select a custom color for hot (high values).
Target Ladder Pro - MTF ATR + HIT ConfirmationTarget Ladder Pro is a volatility-based target framework that plots multi-timeframe ATR-derived upper and lower reference levels on the price chart and can optionally print HIT confirmations when a defined ATR target is reached.
This script is designed to provide structured volatility context (reach zones, range framing, and objective “target reached” tagging). It does not predict price direction, does not guarantee outcomes, and is not intended as a standalone signal generator.
What This Script Displays
1) Multi-Timeframe ATR Target Ladder (1H / 4H / 1D / 1W)
For each enabled timeframe, the script calculates ATR using higher-timeframe data via request.security() (no lookahead), then plots:
Upper level: Base + ATR × Multiplier
Lower level: Base − ATR × Multiplier
The “Base” can be set to:
the current chart price (for immediate relevance), or
the timeframe’s own close (for a strict MTF reference)
Each timeframe’s upper and lower levels are drawn as price-chart lines.
Last-Bar Target Balloons (per timeframe)
On the last bar, the script prints balloon labels for each timeframe’s upper and lower level. Horizontal x-offsets are configurable per timeframe to keep stacked labels readable.
2) ATR Target + Deviation Bands (Context Layer)
A separate ATR target module calculates a single ATR reference level for the current bar based on candle direction (up/down close relative to the prior close). It also optionally plots:
a mean line (moving average), and
up to four standard-deviation bands (mean ± N × deviation)
These bands provide statistical range context around price.
Target / HIT Labels (per bar)
When enabled:
a Target label marks the computed ATR target level
a HIT label appears when price reaches that target on the same bar (high/low touch rule)
An optional filter can require that the ATR target is inside the first deviation band before printing a HIT label, reducing HIT labels during extended conditions.
Label history can be limited to the most recent N labels or allowed to persist (with a safety cap).
How to Use
Enable the timeframes you want to display (e.g., 1H / 4H / 1D / 1W).
Adjust ATR length and multipliers per timeframe to match the asset’s volatility profile.
Choose whether MTF ladder levels are anchored to current price or the timeframe’s own close.
Use the ladder levels as volatility reach reference zones above and below price.
Use Target/HIT labels as objective “condition occurred” markers for review and journaling.
Notes and Limitations
ATR levels are volatility references, not forecasts or guarantees.
Targets may be reached frequently in high-volatility regimes and rarely in compressed markets.
HIT labels indicate that a defined volatility condition occurred; they do not imply reversal or continuation on their own.
This script is provided for informational and educational purposes only and does not constitute financial advice.
Luminous Volume Flow [Pineify]Luminous Volume Flow
The Luminous Volume Flow is a specialized volume-based momentum oscillator designed to uncover the underlying buying and selling pressure within the market. Unlike traditional volume indicators that simply aggregate volume based on the close relative to the open, LVF analyzes intrabar dynamics—specifically the relationship between the close price and the high/low wicks—to estimate the dominance of buyers or sellers.
By smoothing this raw volume delta and applying a signal line, the LVF provides a clear visual representation of volume flow, helping traders identify trend strength, potential reversals, and momentum shifts with high-definition "luminous" visuals.
Key Features
Intrabar Pressure Analysis : Calculates buying and selling pressure based on wick dynamics and price polarity to provide a more granular view of market sentiment.
Multi-Type Smoothing : Offers selectable Moving Average types (SMA, EMA, RMA) for the main Flow Line to adapt to different market volatilities.
Luminous Visuals : Utilizes dynamic color gradients that brighten as momentum expands and darken as it contracts, offering immediate visual feedback on trend intensity.
Sentiment Cloud : Fills the area between the Flow and Signal lines to clearly visualize the prevailing bullish or bearish sentiment.
High-Contrast Signals : Optional high-contrast signal markers for clear crossover identification.
How It Works
The LVF operates on a multi-stage calculation process:
Pressure Calculation : The script compares the lower wick (Close - Low) against the upper wick (High - Close).
If the lower wick is longer, it suggests buying pressure (rejection of lower prices), and volume is assigned to Buy Pressure .
If the upper wick is longer, it suggests selling pressure (rejection of higher prices), and volume is assigned to Sell Pressure .
If equal, the Close > Open polarity is used as a tie-breaker.
Raw Delta : The difference between Buy and Sell Pressure is calculated to determine the net volume flow for the bar.
Flow Line : The Raw Delta is smoothed using a user-selected Moving Average (SMA, EMA, or RMA) over the Flow Length period. This creates the main oscillator line.
Signal Line : An EMA of the Flow Line is calculated to generate the Signal Line, similar to the MACD mechanic.
Histogram : The difference between the Flow Line and Signal Line determines the Histogram, which drives the "Luminous" color gradient logic.
Trading Ideas and Insights
Trend Confirmation : When the Flow Line is above the Signal Line and the Cloud is green, the bullish trend is supported by volume. Conversely, a red cloud indicates bearish volume dominance.
Momentum Crossovers : The triangle shapes indicate crossovers between the Flow and Signal lines. A triangle up (Green) suggests a potential bullish entry or invalidation of a short bias. A triangle down (Red) suggests a bearish turn.
Expansion vs. Contraction : Pay attention to the brightness of the histogram columns. Bright colors indicate expanding momentum (a strong move), while darker, fading colors suggest the move is losing steam, potentially preceding a consolidation or reversal.
How multiple components work together
This script combines the logic of Volume Delta analysis with Signal Line Crossover mechanics (popularized by MACD). By applying trend-following smoothing to raw volume data, we transform erratic volume spikes into a coherent flow. The "Luminous" visual layer is added to make the data interpretation intuitive—removing the need to mentally calculate the rate of change based on histogram height alone.
Unique Aspects
Adaptive Gradient Coloring : The histogram doesn't just show positive/negative values; it visually communicates the *acceleration* of the move via color intensity based on standard deviation.
Wick-Based Volume Attribution : Instead of a binary close-to-open comparison, LVF respects the price action within the candle (the wicks), acknowledging that a long lower wick on a red candle can actually represent significant buying interest.
How to Use
Add the indicator to your chart.
Adjust the Flow Length to match your trading timeframe (lower for scalping, higher for swing trading).
Select your preferred Smoothing Type (EMA is default and recommended for responsiveness).
Use the "Sentiment Cloud" filter: Look for long signals only when the cloud is green, and short signals when the cloud is red.
Monitor the Luminous Histogram for signs of exhaustion (colors fading) to manage exits.
Customization
Flow Length : Period for the main smoothing (Default: 14).
Signal Length : Period for the signal line (Default: 9).
Smoothing Type : Choose between SMA, EMA, or RMA.
Colors : Fully customizable colors for Bullish/Bearish phases and signals.
Chart Bars : Option to color the main chart candles based on the Flow direction.
Conclusion
The Luminous Volume Flow is a robust tool for traders who want to go beyond price action and understand the volume dynamics driving the market. By visualizing the flow of buying and selling pressure with advanced smoothing and reactive visuals, it provides a clearer picture of market sentiment than standard volume bars.
Laguerre Filter [BackQuant]Laguerre Filter
Overview
The Laguerre Filter is a powerful trend-following tool designed to smooth price action while maintaining responsiveness to market changes. It is based on the Laguerre recursive filter, which is a type of signal processing filter that adapts to both the current price dynamics and the underlying trend. The Laguerre Filter can be seen as a method to reduce market noise, enabling traders to more easily identify the strength and direction of trends while minimizing lag.
The Laguerre Filter is well-suited for markets with varying volatility levels, offering a smoother representation of price action without the delay associated with traditional moving averages. By dynamically adjusting to price movements, the Laguerre Filter provides a more adaptive and reliable signal compared to simpler smoothing techniques.
What is the Laguerre Filter?
The Laguerre Filter is derived from the Laguerre polynomial, which is used in signal processing for smooth filtering of data. The Laguerre filter is a recursive filter, meaning that each new value is calculated based on both the current price data and previous values, with a weighting system that allows it to adapt to market conditions. This recursive nature helps reduce the impact of short-term fluctuations, enabling the filter to focus on the underlying trend.
The Laguerre filter uses a feedback mechanism, where the input signal (price data) is smoothed iteratively. This iterative process helps avoid the lag that is typically associated with traditional moving averages while still capturing the overall trend direction.
The filter is designed to have:
Adaptive behavior: It reacts quickly to significant price changes while ignoring minor fluctuations.
Reduced noise: By filtering out random short-term price movements, it provides a clearer view of the underlying trend.
Customizability: Traders can adjust the filter’s sensitivity through user inputs, making it adaptable to different market conditions.
Core Calculation Methodology
The core of the Laguerre Filter lies in its recursive calculation:
Each new value is calculated using the previous value along with the current price input.
The recursive formula is governed by two key parameters: the damping factor (gamma) and the order of the filter (number of Laguerre elements).
The damping factor controls how responsive the filter is to changes in price. A higher gamma value makes the filter smoother but introduces more lag, while a lower gamma value makes it more reactive to price changes but can introduce more noise.
The order defines how many Laguerre elements are used in the calculation. A higher order results in a smoother output but with more delay, while a lower order provides a faster response but less smoothing.
The filter works by weighting previous values with a binomial weighting system, which assigns more weight to recent values and less weight to older values. This creates a dynamic smoothing effect that adapts to price volatility, ensuring that the filter is neither too slow nor too noisy.
Signal Logic and Trend Detection
The Laguerre Filter continuously evaluates the strength and direction of the trend by comparing the current smoothed value to the previous value:
If the current value is greater than the previous value, the trend is considered bullish, and the filter will signal a long condition.
If the current value is less than the previous value, the trend is considered bearish, and the filter will signal a short condition.
The trend detection logic is based on the recursive nature of the filter, which smooths price movements over time. This allows the filter to capture the broader trend while minimizing the influence of short-term price fluctuations.
The trend state is also visually represented by color-coding:
Green color represents an uptrend (bullish condition).
Red color represents a downtrend (bearish condition).
Neutral (white) indicates no clear trend direction.
This color-coding helps traders easily identify the prevailing trend and decide whether to enter or exit trades based on the trend's strength.
Laguerre Filter Behavior and Performance
The performance of the Laguerre Filter can be influenced by several factors:
Gamma (Damping Factor): A higher gamma value results in a smoother filter but increases lag. A lower gamma value allows for a faster response but may introduce more noise, making it more reactive to smaller price changes.
Filter Order: The order determines how many Laguerre elements are used in the filter calculation. A higher order provides more smoothing but increases lag, while a lower order results in a quicker response but less smoothing.
The sweet spot for gamma is typically between 0.7 and 0.85, where the filter offers a good balance between smoothness and responsiveness. The filter order is usually set to 4 for classic Laguerre filtering, but higher orders can be used for more smoothing if needed.
The Laguerre Filter’s performance shines in markets with sustained trends, where the filter can effectively capture and represent the underlying direction without excessive lag. It is particularly useful in volatile markets, as it helps smooth out noise while providing a clear picture of the trend.
Visual Presentation
The Laguerre Filter provides a dynamic, color-coded line that follows the trend direction. This line can be displayed alongside price data to visually highlight the market trend. In addition to the main Laguerre line, several visual enhancements can be applied:
Gradient fill between the price and the Laguerre Filter line, providing a visual cue for bullish or bearish market conditions.
Candle coloring to reflect the current trend, making it easier to spot trend reversals or confirmations directly on the chart.
Background shading to visually highlight areas of strong trend or consolidation.
Edge glow effect that highlights trend boundaries, making it easy to spot key levels of support or resistance.
These visual elements enhance the usability of the Laguerre Filter, allowing traders to quickly assess the market trend and make informed decisions.
Practical Use Cases
1) Trend Following
The Laguerre Filter is ideal for trend-following strategies. By using the filter to identify the prevailing trend, traders can:
Enter long positions when the Laguerre Filter turns bullish (green).
Enter short positions when the Laguerre Filter turns bearish (red).
By aligning trades with the dominant trend, traders can improve their chances of success.
2) Trend Strength Assessment
The Laguerre Filter can also be used to assess the strength of the trend:
A rising Laguerre value indicates a strengthening uptrend.
A falling Laguerre value indicates a strengthening downtrend.
A flattening Laguerre value signals weakening momentum or consolidation.
This information can be used to adjust position sizing or to decide when to enter or exit a trade.
3) Trade Management
The Laguerre Filter can also assist in trade management:
Use the Laguerre line as a trailing stop for long positions in an uptrend.
Scale out of positions as the Laguerre value begins to flatten or reverse.
Use the Laguerre Filter to avoid trades when the market is in consolidation or lacks a clear trend.
Tuning Guidelines
The Laguerre Filter can be adjusted for different market conditions using the following parameters:
Gamma (Damping Factor): Adjust for the desired level of responsiveness versus smoothness. Typical values range from 0.7 to 0.85.
Filter Order: Adjust to control the level of smoothing. The default value of 4 is a good starting point, but higher orders can be used for smoother filters.
Summary
The Laguerre Filter is a versatile and adaptive trend-following indicator that smooths price data and reduces noise, making it easier to identify and follow trends. By using recursive smoothing techniques and adjustable parameters, the Laguerre Filter provides an accurate representation of market conditions with minimal lag. It is especially useful in volatile markets where traditional moving averages may fail to capture the underlying trend. With its color-coded trend detection, gradient fills, and customizable settings, the Laguerre Filter is a powerful tool for traders looking to stay aligned with the prevailing market direction.
Smart Money Structure FilterEnglish Description
Overview
Smart Money Structure Analyzer is a professional trading tool that implements Smart Money Concepts (SMC) to identify key market structure shifts, Break of Structure (BOS), and Change of Character (CHoCH) patterns. This indicator helps traders follow the "smart money" flow by detecting institutional order flow patterns on any timeframe.
Key Features
Swing Point Detection - Identifies significant highs and lows using fractal-based logic
Market Structure Analysis - Classifies market conditions as Uptrend, Downtrend, or Consolidation
Break of Structure (BOS) - Detects when price breaks key structural levels
Change of Character (CHoCH) - Identifies potential trend reversals
Mitigation Levels - Shows potential retracement targets after structure breaks
How It Works
The indicator analyzes price action through several layers:
Swing Detection Algorithm
Uses a configurable swing period (3-21 bars)
Identifies valid swing highs and lows that are confirmed by surrounding price action
Stores the last 20 swings for structure analysis
Structure Determination
Uptrend: Higher Highs (HH) + Higher Lows (HL)
Downtrend: Lower Lows (LL) + Lower Highs (LH)
Consolidation: Mixed structure or ranging market
Break of Structure (BOS) Logic
Bearish BOS: Price closes below the last confirmed Higher Low (HL)
Bullish BOS: Price closes above the last confirmed Lower High (LH)
Change of Character (CHoCH) Logic
Bearish CHoCH: After a bearish BOS, price forms a Lower Low (confirms trend reversal)
Bullish CHoCH: After a bullish BOS, price forms a Higher High (confirms trend reversal)
Mitigation Levels
Calculates potential retracement levels after BOS (typically ±0.2% from broken structure)
Visual Elements
Fractals: Swing points (optional display)
Structure Lines: Last Higher Low (blue) and Last Lower High (purple)
BOS Signals: Triangles marking structure breaks
CHoCH Signals: Circles confirming trend changes
Mitigation Levels: Dotted orange lines for potential retracements
Info Label: Real-time structure status and key levels
Alerts
The indicator provides alerts for:
Break of Structure (BOS) events
Change of Character (CHoCH) confirmations
Settings
Swing Period: Sensitivity of swing detection (default: 3)
Show Fractals: Toggle swing point markers
Show Structure Lines: Display key structure levels
Show Break of Structure: Display BOS signals
Show Change of Character: Display CHoCH signals
Show Mitigation Levels: Display retracement levels
Best Practices
Use on higher timeframes (1H+) for more reliable signals
Combine with volume analysis for confirmation
Wait for CHoCH confirmation before entering trades
Use mitigation levels as potential entry zones
Русское описание
Обзор
Smart Money Structure Analyzer - профессиональный торговый инструмент, реализующий концепции Smart Money (SMC) для определения ключевых сдвигов рыночной структуры, Break of Structure (BOS) и Change of Character (CHoCH). Индикатор помогает отслеживать поток "умных денег", выявляя паттерны институционального ордерного потока на любом таймфрейме.
Ключевые возможности
Определение свингов - Выявляет значимые максимумы и минимумы с помощью фрактальной логики
Анализ структуры рынка - Классифицирует состояние рынка: Восходящий тренд, Нисходящий тренд или Консолидация
Break of Structure (BOS) - Обнаружение пробития ключевых уровней структуры
Change of Character (CHoCH) - Определение потенциальных разворотов тренда
Уровни митигации - Показывает потенциальные цели отката после пробоя структуры
Принцип работы
Индикатор анализирует ценовое действие через несколько уровней:
Алгоритм определения свингов
Использует настраиваемый период свинга (3-21 свечи)
Определяет валидные максимумы и минимумы, подтвержденные окружающим движением цены
Сохраняет последние 20 свингов для анализа структуры
Определение структуры
Восходящий тренд: Higher Highs (HH) + Higher Lows (HL)
Нисходящий тренд: Lower Lows (LL) + Lower Highs (LH)
Консолидация: Смешанная структура или флет
Логика Break of Structure (BOS)
Медвежий BOS: Цена закрывается ниже последнего Higher Low (HL)
Бычий BOS: Цена закрывается выше последнего Lower High (LH)
Логика Change of Character (CHoCH)
Медвежий CHoCH: После медвежьего BOS формируется Lower Low (подтверждает разворот)
Бычий CHoCH: После бычьего BOS формируется Higher High (подтверждает разворот)
Уровни митигации
Расчет потенциальных уровней отката после BOS (обычно ±0.2% от сломанной структуры)
Визуальные элементы
Фракталы: Точки свингов (опционально)
Линии структуры: Последний Higher Low (синий) и последний Lower High (фиолетовый)
Сигналы BOS: Треугольники, отмечающие пробой структуры
Сигналы CHoCH: Круги, подтверждающие изменение тренда
Уровни митигации: Пунктирные оранжевые линии для потенциальных откатов
Инфо-метка: Статус структуры и ключевые уровни в реальном времени
Оповещения
Индикатор предоставляет алерты для:
Событий Break of Structure (BOS)
Подтверждений Change of Character (CHoCH)
Настройки
Период свинга: Чувствительность определения свингов (по умолчанию: 3)
Показывать фракталы: Включение/выключение маркеров свингов
Показывать линии структуры: Отображение ключевых уровней структуры
Показывать Break of Structure: Отображение сигналов BOS
Показывать Change of Character: Отображение сигналов CHoCH
Показывать уровни митигации: Отображение уровней отката
Рекомендации по использованию
Используйте на старших таймфреймах (1H+) для более надежных сигналов
Комбинируйте с анализом объема для подтверждения
Ждите подтверждения CHoCH перед входом в сделку
Используйте уровни митигации как потенциальные зоны входа
Технические особенности
Максимальное количество меток: 500
Работает на любых таймфреймах
Не перерисовывает прошлые сигналы
Эффективно использует ресурсы благодаря ограничению хранения свингов
Индикатор предназначен для трейдеров, работающих с Price Action и концепциями Smart Money, и помогает систематизировать анализ рыночной структуры в соответствии с подходами институциональных трейдеров.
Sticky NotesSticky Notes is a clean, customizable on-chart memo tool designed to keep your trading rules, checklists, risk guidelines, and important reminders always visible — without cluttering your screen.
Perfect for day traders, swing traders, or anyone who needs quick access to personal trading discipline notes (e.g. "Never trade after journal is done", position sizing rules, max daily loss limits, SL/TP/breakeven conditions, etc.).
Key Features
Up to 6 independent notes, each with its own enable/disable toggle
Custom note titles and multi-line text content (via text areas for easy editing)
Adjustable overall position on the chart (9 corner/center options: top-right, bottom-left, etc.)
5 size choices: tiny → huge (titles automatically scale larger than body text)
Full color customization: title text, content text, table background
Fully adjustable borders:
• Outer frame (visibility, color, thickness 0–6)
• Internal cell borders (visibility, color, thickness 0–5)
→ Turn everything off for a minimal, borderless floating look
Subtle separators between notes for better readability
Efficient table-based rendering — only updates on the last bar
How to Use
Add the indicator to your chart
Open Settings → enable/disable individual notes
Edit titles and text directly in the inputs (supports long multi-line reminders)
Choose your preferred screen position, size, colors, and border style
Keep your trading plan, psychology rules, or daily checklist right in view — no more alt-tabbing to Notion or paper notes!
Great for enforcing discipline: risk management rules, session guidelines, "if this then that" conditions, mandatory routines, or even simple motivational reminders.
Litronix Liquidity BlocksLitronix Liquidity Blocks is a session-based market structure indicator designed to highlight high-liquidity periods where institutional activity is most likely to occur.
The indicator plots price-anchored liquidity blocks based on key intraday sessions, automatically capturing each session’s high and low range and displaying it directly on the chart. All blocks are fully synchronized with price and time, ensuring precise interaction when navigating the chart.
Included Liquidity Blocks:
Asian Block – Asian session range
EU Block – Frankfurt liquidity window
NY Kill Block – High-volatility manipulation window
NY Block – New York session range
Lunch Block – Low-liquidity consolidation period
Key Features:
Session-based liquidity ranges (High / Low)
Price-anchored blocks that move precisely with the chart
Fully customizable session times and colors
Optional session labels
Clean, non-repainting logic
Optimized for intraday and scalping strategies
Best Use Cases:
Liquidity sweeps and stop-hunt detection
ICT / Smart Money Concepts
Intraday bias and session transitions
Scalping and day trading
Litronix Liquidity Blocks is built for traders who focus on where liquidity is taken, not where price is going.
bitcoin Multi-Timeframe Trend Analysis Toolbitcoin Multi-Timeframe Trend Analysis Tool: A Comprehensive Guide for Market Cycle Identification
Introduction
The Multi-Timeframe Trend Analysis Tool is a sophisticated technical indicator designed to help traders identify critical market phases across different time horizons. This tool synthesizes multiple established technical analysis concepts into a unified framework, specifically optimized for high-volatility markets such as cryptocurrencies and alternative coins (altcoins). By integrating trend-following, momentum, and mean-reversion principles, it provides visual cues for strategic entry and exit points throughout market cycles.
Core Philosophy and Integration Rationale
The indicator's design philosophy centers on the principle that different market phases require different analytical approaches. Rather than relying on a single indicator, which often produces false signals during complex market conditions, this tool combines multiple technical components that complement each other's strengths and compensate for individual weaknesses.
The integration follows a logical hierarchy:
Trend Identification through multiple EMA periods establishes the market's primary direction
Momentum Confirmation via multiple MACD configurations validates trend strength and potential reversals
Multi-timeframe Alignment ensures signals are significant across both short-term and long-term perspectives
This layered approach reduces the likelihood of whipsaws and increases the statistical significance of generated signals.
Component Synergy and Operational Mechanics
1. EMA System: The Trend Foundation
The tool employs six Exponential Moving Averages organized into two groups:
Long-term EMA Group (200, 300, 700 periods):
The 200-period EMA serves as the primary trend baseline
The 300-period EMA provides confirmation of the longer-term direction
The 700-period EMA represents the "macro trend" and helps identify major cycle shifts
Medium-term EMA Group (18, 36, 63 periods):
These shorter EMAs capture intermediate trend dynamics
The relationship between these EMAs helps identify acceleration or deceleration in trend momentum
The EMA system works by comparing relationships between different period lengths. For instance, when shorter EMAs are positioned below longer EMAs, it confirms a bearish trend structure, while the opposite configuration suggests bullish momentum.
2. Multi-Period MACD System: Momentum and Divergence Detection
The tool implements three separate MACD configurations, each serving a distinct purpose:
Bottom MACD (168/364/6 periods):
Designed to capture long-term momentum shifts at potential market bottoms
The extended periods (168 and 364) filter out short-term noise while highlighting significant trend changes
Particularly effective at identifying oversold conditions during prolonged downtrends
Top MACD (108/234/9 periods):
Optimized for detecting momentum deterioration at potential market tops
The period selection is based on historical analysis of bull market cycles
Helps identify when bullish momentum is weakening before price action clearly reverses
Local Top MACD (9/36/9 periods):
Functions as an early warning system for short-term corrections
Particularly useful for swing traders and risk management
Can help identify profit-taking opportunities during ongoing trends
The three MACDs operate independently but collectively provide a comprehensive view of momentum across different time horizons. When multiple MACDs simultaneously show confirming signals, the reliability of the indication increases significantly.
3. Signal Generation Logic: Conditional Framework
Signals are generated only when multiple conditions align across different components:
Accumulation Zone Conditions:
Requires both trend alignment (200 EMA below 300 EMA) AND either:
Price trading at a significant discount to the 200 EMA (suggesting oversold conditions), OR
The 200 EMA itself declining sharply (confirming bearish momentum exhaustion)
This dual requirement prevents false accumulation signals during healthy downtrends
Strong Buy Zone Conditions:
Includes all accumulation zone requirements PLUS:
Sharp decline in the 36-period EMA (suggesting panic or capitulation)
Accelerated decline in the 200 EMA (confirming bearish exhaustion)
This represents a higher-conviction signal with multiple confirming factors
Potential Bull Market Top Conditions:
Requires the 700 EMA to be rising sharply (confirming extended bullish trend) AND
Top MACD showing bearish divergence (momentum weakening) AND
Short-term EMA alignment still bullish (indicating the top is forming amid strength)
This combination helps distinguish between minor corrections and major trend reversals
Local Top Warning Conditions:
Triggered when the 700 EMA shows accelerated gains (potential euphoria phase) AND
The Local Top MACD shows bearish momentum divergence
Serves as a risk management tool rather than a direct reversal signal
Practical Application and Usage Guidelines
For Long-Term Investors:
Monitor for "Accumulation Zone" signals during market downturns
Consider initiating or adding to positions during "Strong Buy Zone" signals
Use these signals for dollar-cost averaging strategies rather than timing exact bottoms
Hold through intermediate fluctuations unless "Potential Bull Market Top" signals appear
For Trend Traders:
Use EMA alignments to confirm trend direction before entering positions
Employ "Local Top Warnings" to secure profits on portions of positions
Watch for alignment between medium-term EMA direction and MACD signals for entry timing
Consider "Potential Bull Market Top" signals as reasons to reduce exposure or implement hedging strategies
For Risk Managers:
Use "Local Top Warnings" to tighten stop-losses or reduce position sizes
Monitor the relationship between price and the 200 EMA for overall market health assessment
Track multiple timeframes to distinguish between normal volatility and potential trend changes
Originality and Distinctive Features
This tool represents a novel synthesis of existing technical concepts rather than a completely new indicator. Its originality stems from:
Purpose-Specific MACD Configurations: Unlike standard MACD implementations, each of the three MACDs is optimized for a specific market condition, with period lengths derived from empirical analysis of market cycles.
Multi-Layered Confirmation Framework: Signals require alignment across trend, momentum, and rate-of-change dimensions, reducing false positives common in single-indicator systems.
Progressive Signal Hierarchy: The tool distinguishes between initial warning signals ("Local Top Warnings") and higher-conviction reversal signals ("Potential Bull Market Tops"), allowing for graduated responses.
Combination of Absolute and Relative Conditions: The logic incorporates both absolute price relationships (price vs. EMA levels) and rate-of-change metrics (EMA acceleration/deceleration), capturing both state and momentum information.
Limitations and Considerations
Lagging Nature: Like all trend-following indicators, this tool reacts to established conditions rather than predicting future movements. Early trend phases may not generate signals.
Parameter Sensitivity: The default parameters are optimized for daily cryptocurrency charts. Performance may vary across different asset classes or timeframes.
Complementary Analysis Required: This tool should be used alongside fundamental analysis, volume confirmation, and market structure considerations.
No Guarantee of Performance: Past success in identifying market phases does not ensure future accuracy. All trading involves risk, and no indicator provides certainty.
Conclusion
The Multi-Timeframe Trend Analysis Tool provides a structured approach to identifying significant market phases by integrating trend, momentum, and mean-reversion concepts across multiple time horizons. Its value lies not in predicting exact turning points but in identifying zones of increasing probability for trend changes, allowing traders to adjust their strategies accordingly. When used as part of a comprehensive trading plan with proper risk management, it can help traders navigate complex market environments with greater clarity and discipline.
The tool is particularly suited to the extended trends and pronounced cycles characteristic of cryptocurrency markets, though its principles apply across various financial instruments. As with all technical tools, its effectiveness increases with user understanding of both its mechanisms and its limitations.
Chinese Silver Price_SRC (USD/oz)This indicator converts the Chinese silver price quoted in CNY per kilogram (e.g. SHFE silver) into USD per troy ounce and overlays it directly on the XAGUSD (global silver spot) chart.
The conversion uses the real-time USD/CNY exchange rate and the standard troy ounce conversion factor.
USD/oz = (CNY/kg ÷ USD/CNY) ÷ 32.1507
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning
Introduction
The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application.
Rationale for Multi-Indicator Integration
Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where:
Ultra-long-term EMAs establish the primary trend context
Medium-term EMA crossovers identify trend transitions
Multiple MACD configurations detect momentum shifts across different time horizons
This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements.
Component Synergy and Operational Mechanism
1. EMA Framework: The Trend Foundation
700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets.
18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion.
12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries.
12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections.
2. MACD Ensemble: Momentum Verification
Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms.
Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag.
Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks.
Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation.
3. Signal Hierarchy and Progressive Confirmation
The indicator employs a cascading confirmation logic:
Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation.
Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration.
Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals.
Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal.
Practical Application and Interpretation
Signal Classification System
Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors.
Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points.
Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections.
Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals.
Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning.
Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation.
Usage Guidelines
Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident.
Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation.
Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations.
Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors.
Limitations and Considerations
No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns.
Extraordinary market events or fundamental shifts may override technical signals.
The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions.
Signals should be interpreted in context of overall market structure and trader/investor time horizon.
Originality and Differentiation
This system represents a novel synthesis of established technical concepts through:
Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration.
Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions.
Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals.
Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts.
Empirical Foundation
The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly:
The tendency for major bottoms to form during extended periods below long-term moving averages
Characteristic momentum patterns preceding significant tops
The predictive value of specific EMA relationships during different market phases
Historical performance of multi-timeframe confirmation versus single indicators
Conclusion
The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Professional Clean BTC ChartInstitutional Price Structure is a clean, price-focused charting tool designed to provide traders with a clear and distraction-free view of market structure, trend context, and key reference levels.
The indicator replaces default candles with neutral grayscale price bars to reduce visual noise and improve readability during high-volatility conditions. Trend direction is defined using a fast and slow exponential moving average, offering immediate context without lag-heavy complexity.
A session-based VWAP is included as a core institutional benchmark, allowing traders to quickly assess mean reversion, premium/discount zones, and intraday bias. Daily high and low levels are plotted automatically to highlight key liquidity boundaries and reaction zones commonly respected by professional participants.
This tool is intentionally minimalist—free of oscillators and signals—to support discretionary decision-making, execution precision, and price-action-based strategies across intraday and swing timeframes.
FxShare - CC ReversalVery simple , but very grounded, strict and pure math+statistics -based algo:
Based on candle count and reverse .
You can set how many candles (and their body shape) you count in a row before the retracement and market overstretch happens. It also has an EMA filter if you wish for even stronger but more rare signals.
Use it, break it, improve it.
Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
VWAP BandsBuy Godrej Properties
Strong Retest Support of 1362-1483.
+
Trendline Support
+
Fibo 78.6 Support.
Stoploss 1158 weekly Closing.
Target should be 1900 and 2500
Trading Cutoff TimerTrade Cutoff Timer — Discipline-First Session Control
Trade Cutoff Timer is a simple execution-discipline indicator designed to enforce one of the most powerful trading rules:
stop trading after your optimal window ends.
The indicator visually marks a fixed cutoff time measured in minutes after the market open, helping you avoid late-session overtrading, FOMO entries, and degraded edge conditions.
🔹 What it does
Draws a clear vertical cutoff line at X minutes after market open
Optionally shades the background from market open until the cutoff
Prevents “one more trade” behavior by making your rule visible on-chart
Works on any intraday timeframe
Does not affect chart scaling or price visibility
🔹 Key Features
⏱ Minute-based cutoff
Define exactly how long after market open you are allowed to trade (e.g. 90 minutes).
🌍 Timezone-aware (UTC±)
Select timezones using TradingView-style UTC offsets for consistent behavior across markets.
📅 Lookback control
Limit how many historical days are marked to keep charts clean and focused.
🎨 Visual flexibility
Enable or disable background shading, control how far it extends, and customize colors.
🧠 Discipline over signals
No entries, no indicators, no bias — this tool enforces process, not predictions.
🔹 Who it’s for
Day traders with a defined trading window
Traders who perform best near market open
Anyone working to improve consistency, patience, and rule-based execution
Traders who want structure without clutter
🔹 Typical use cases
“I only trade the first 90 minutes after NY open”
“I stop trading once volatility degrades”
“I want a visual reminder of my hard stop time”
Trade less. Trade better.
This indicator exists to support consistency — not to generate signals.
Ultimate Trend Dashboard [Multi-Timeframe]This is a Universal Market Scanner designed for Crypto, Forex, and Metals (Gold/Silver). Instead of checking multiple charts one by one, this dashboard monitors 4 different timeframes instantly from a single screen.
### 🧠 How It Works ( The Logic) The system uses a "Double Confirmation" strategy to determine the true trend direction: 1. Supertrend: Checks if the momentum is Bullish or Bearish. 2. EMA 200 Filter: Checks if the price is above or below the 200-period Exponential Moving Average (The most important long-term trend line).
A signal is only generated if BOTH indicators agree.
### 📊 Dashboard Overview The panel on the screen scans the following timeframes (Adjustable in settings): * 15 Minutes (Scalping Trend) * 1 Hour (Intraday Trend) * 4 Hours (Swing Trend) * Daily (Major Trend)
### 🚦 How to Use (Step-by-Step)
1. Look at the "TOTAL" Row: The script calculates a score based on all timeframes.
2. STRONG BUY 🚀 (All Green): * Meaning: All timeframes (Short & Long term) are Bullish. * Action: Look for Long entries. Do not Short.
3. STRONG SELL 🔻 (All Red): * Meaning: All timeframes are Bearish. * Action: Look for Short entries. Do not Buy.
4. NEUTRAL ⚠️ (Mixed Colors): * Meaning: The market is confused (e.g., Daily is Bullish but 15min is Bearish). * Action: Wait. Do not force a trade until the trend aligns.
### ⚙️ Customization * You can change the Timeframes (e.g., set them to 5m, 15m, 1h, 4h) in the settings. * You can move the table position (Right, Left, Center) to fit your screen. * Works on ANY asset class (BTC, ETH, XAUUSD, EURUSD, Stocks).
Smart Take ProfitThis script for EURUSD on the M3 timeframe detects Take Profit zones close to a reversal, automatically displays TP1, TP2, and Stop Loss, and follows the RSI + Bollinger Band + ATR logic.
It triggers an exit signal when the price touches a Bollinger Band, when the RSI is in an extreme zone, or when there is a rejection candle.
It automatically calculates the TP at 0.8 ATR, TP2 at 1.0 ATR, and the Stop Loss at 0.6 ATR.
It operates on the EURUSD M3 timeframe. You decide the entry point. This indicator is not a trading strategy.
Triple SMMA 11-21Is Script ki Khoobiyan:
Custom Inputs: Aap indicator ki settings mein jaakar 11 aur 21 ki jagah koi bhi number daal sakte hain bina code chhede.
Visual Crossover: Jab 11-period SMMA (Blue) 21-period SMMA (Red) ko upar ki taraf cross karega, to chart par ek Green Triangle dikhega.
Smoothing: SMMA normal Moving Average se zyada "smooth" hota hai, isliye ye noise ko kam karta hai.
Fixed Timeframe SMMA: Isme Orange rang ki ek moti line (linewidth 3) dikhegi. Ye hamesha 15 minute ka SMMA 21 calculate karegi.
Visual Clarity: * Blue: SMMA 11 (Aapke current chart ka)
Red: SMMA 21 (Aapke current chart ka)
Orange (Moti Line): SMMA 21 (Sirf 15-Minute chart ka)
Ek Zaruri Baat:
Jab aap 15-minute se bade timeframe par honge (jaise 1-hour ya Daily), toh 15-min ki line thodi "zigzag" ya seedhi dikh sakti hai kyunki bade timeframe ke ek candle mein 15-min ki kai candles hoti hain. Ye bilkul normal hai.
