5-Min Candle Ranges (Last 1000)Average candle size for 1000 candles. This indicators looks at the volatility of candles and averages the size of the candles.
Indicadores e estratégias
US Growth Momentum Index (UGMI)US Growth Momentum Index (UGMI) is a macroeconomic indicator designed to reflect the current economic health of the United States. The index combines four key economic factors—Industrial Production (INDPRO), Retail Sales (RSAFS), Unemployment Rate (UNRATE), and the 10Y-2Y Yield Curve Spread—and aggregates them into a single line representing overall growth momentum.
The UGMI is based on Z-Score calculations for each of these components, helping to identify whether the U.S. economy is in an expansionary growth phase or a contractionary recession phase.
How to Read the UGMI:
Core Growth Line (Blue): This is the main line representing the aggregated growth momentum. It is calculated using the Z-scores of the key economic indicators.
0 Line: The 0 line represents the neutral zone. If the UGMI is above the 0 line, it suggests that the economy is expanding. Below the 0 line indicates contraction or a potential recession.
Zones Above 1: When the UGMI is above 1, it represents a strong expansionary phase or boom, possibly signaling the top of a bull market or local peak.
Zones Below -1: When the UGMI falls below -1, it indicates a severe recession or significant contraction in the economy.
Color Coding:
Green: When the UGMI is above the 1 line, the background turns green, indicating a strong growth phase.
Red: When the UGMI is below -1, the background turns red, representing a recession or significant economic downturn.
This indicator helps traders and investors to understand whether the economy is growing or contracting, and is especially useful for identifying potential market tops or turning points.
Time-based LiquidityThis indicator automatically marks important time-based liquidity levels on your chart, helping you stay aware of where major price reactions may occur and the market is forced to show its hand.
Key Features:
Previous Month’s, Week’s, and Day’s Highs and Lows: Displays PMH/PML, PWH/PWL, and PDH/PDL — key reference points where liquidity often accumulates.
Intraday Session Highs and Lows: Divides the trading day into quarters (00:00–06:00, 06:00–12:00, etc. following Day’s Quarterly Theory) and tracks session highs and lows dynamically across these periods.
Current Session 90-Minute Quarters: Splits the active session into 90-minute intervals to highlight short-term liquidity structures and potential reaction zones.
Level Alerts: Tracks when each liquidity level is reached and enables customizable alerts so you don’t miss important price movements.
Use Case:
This tool provides an organized, time-based framework for identifying where liquidity is likely to concentrate across different timeframes and intraday cycles. Use these levels for forming bias, planning entries, exits, or anticipating price reactions at key points in the market structure.
Customization Options:
Enable/disable liquidity levels to display (Daily, Weekly, Monthly, Sessions, Session Quarters)
Customize the appearance of each level (color, style, line width)
Enable or disable tracking and alerts for level interactions
Liquidity Sweep DetectorThe Liquidity Sweep Detector represents a technical analysis tool specifically designed to identify market microstructure patterns typically associated with institutional trading activity. According to Harris (2003), institutional traders frequently employ tactics where they momentarily break through price levels to trigger stop orders before redirecting the market in the opposite direction. This phenomenon, commonly referred to as "stop hunting" or "liquidity sweeping," constitutes a significant aspect of institutional order flow analysis (Osler, 2003). The current implementation provides retail traders with a means to identify these patterns, potentially aligning their trading decisions with institutional movements rather than becoming victims of such strategies.
Osler's (2003) research documents how stop-loss orders tend to cluster around significant price levels, creating concentrations of liquidity. Taylor (2005) argues that sophisticated institutional participants systematically exploit these liquidity clusters by inducing price movements that trigger these orders, subsequently profiting from the ensuing price reaction. The algorithmic detection of such patterns involves several key processes. First, the indicator identifies swing points—local maxima and minima—through comparison with historical price data within a definable lookback period. These swing points correspond to what Bulkowski (2011) describes as "significant pivot points" that frequently serve as liquidity zones where stop orders accumulate.
The core detection algorithm utilizes a multi-stage process to identify potential sweeps. For high sweeps, it monitors when price exceeds a previous swing high by a specified threshold percentage, followed by a bearish candle that closes below the original swing high level. Conversely, for low sweeps, it detects when price drops below a previous swing low by the threshold percentage, followed by a bullish candle closing above the original swing low. As noted by Lo and MacKinlay (2011), these price patterns often emerge when large institutional players attempt to capture liquidity before initiating significant directional moves.
The indicator maintains historical arrays of detected sweep events with their corresponding timestamps, enabling temporal analysis of market behavior following such events. Visual elements include horizontal lines marking sweep levels, background color highlighting for sweep events, and an information table displaying active sweeps with their corresponding price levels and elapsed time since detection. This visualization approach allows traders to quickly identify potential institutional activity without requiring complex interpretation of raw price data.
Parameter customization includes adjustable lookback periods for swing point identification, sweep threshold percentages for signal sensitivity, and display duration settings. These parameters allow traders to adapt the indicator to various market conditions and timeframes, as markets demonstrate different liquidity characteristics across instruments and periods (Madhavan, 2000).
Empirical studies by Easley et al. (2012) suggest that retail traders who successfully identify and act upon institutional liquidity sweeps may achieve superior risk-adjusted returns compared to conventional technical analysis approaches. However, as cautioned by Chordia et al. (2008), such patterns should be considered within broader market context rather than in isolation, as their predictive value varies significantly with overall market volatility and liquidity conditions.
References:
Bulkowski, T. (2011). Encyclopedia of Chart Patterns (2nd ed.). John Wiley & Sons.
Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249-268.
Easley, D., López de Prado, M., & O'Hara, M. (2012). Flow Toxicity and Liquidity in a High-frequency World. The Review of Financial Studies, 25(5), 1457-1493.
Harris, L. (2003). Trading and Exchanges: Market Microstructure for Practitioners. Oxford University Press.
Lo, A. W., & MacKinlay, A. C. (2011). A Non-Random Walk Down Wall Street. Princeton University Press.
Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205-258.
Osler, C. L. (2003). Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis. Journal of Finance, 58(5), 1791-1820.
Taylor, M. P. (2005). Official Foreign Exchange Intervention as a Coordinating Signal in the Dollar-Yen Market. Pacific Economic Review, 10(1), 73-82.
OFC - Position Clusters🧭 OFC – Position Clusters ATS-edition
Visualize where traders are positioning — and where they’re unwinding.
The OFC – Position Clusters indicator is a precision profiling tool for crypto markets, designed to highlight zones of potential position buildup and liquidation based on Open Interest Delta and a proportional model of Volume Delta.
This script reveals directional intent at key price levels by tracking where open interest and volume converge.
It offers an intuitive histogram-based view to expose:
📈 Long Open Clusters (green): zones where aggressive buying and new long positions dominate
📉 Short Open Clusters (red): areas of dominant short interest
📤 Long Close Clusters (purple): long-side liquidation zones
📥 Short Close Clusters (aqua): short unwinds or short squeeze exits
🔍 Use Cases: See the Story Behind the Price
🪤 Detect Trapped Traders: Spot clusters where aggressive longs/shorts built positions — only to have price reverse. These zones often lead to squeezes or forced exits.
📊 Identify Passive Accumulation: Long clusters near range lows (without price breakout) may signal stealth accumulation ahead of a move.
📈 Confirm Breakouts with Position Flow: Watch for open clusters shifting with price to validate directional conviction.
🧨 Fade Exhaustion Moves: Dense closing clusters into key resistance/support may signal end-of-move behavior or late chasers.
🛠 Key Features:
🕒 Time Window Control – Analyze any custom period, from minutes to weeks
📊 Histogram Resolution Selector – Choose your level of detail
🔄 Live vs Static Mode – Toggle real-time updates for intraday or historical reviews
📐 Profile Offset Slider – Shift the visualization away from price bars for clarity
🪲 Built-in Debug Panel – View parameters and time diagnostics in one place
Use this indicator to uncover market footprints left by large participants — not just where price moved, but how traders positioned within it.
Uber TDFI - Trend Direction & Force Index [UTS]The TDFI indicator is a highly precise and faithful adaptation of Mladen's well-known Trend Direction Force Index (TDFT), originally developed in MQ4 format and published on Forex-Station. This TradingView implementation has been meticulously crafted to mirror the exact behavior and calculation logic of the original, ensuring that users experience the same accuracy and analytical depth that made the MQ4 version widely respected among professional traders.
What sets TDFI apart from other trend indicators is its robust foundation and flexibility:
Authentic Calculation Method: Unlike simplified or reinterpreted versions, this script stays true to Mladen’s original computation method, delivering consistent results aligned with his vision of trend force analysis.
26 Moving Average Options: TDFI incorporates a comprehensive selection of 26 moving average types, allowing traders to tailor the trend detection mechanism to suit various market conditions and personal trading styles. This level of configurability is rarely seen and provides a substantial edge in both backtesting and live decision-making.
Advanced Smoothing Capabilities: The indicator supports quadratic smoothing and includes adjustable phase and smooth parameters, further enhancing signal clarity and responsiveness. These features replicate the full feature set of the original MQ4 version, offering granular control over the indicator’s behavior.
TDFI is designed for traders who prioritize precision, adaptability, and analytical fidelity. Whether you are building a new strategy or enhancing an existing one, this tool offers the depth and reliability required for serious technical analysis.
Trend Methods
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
"SMOOTHER", Smoother, Author and year unknown
"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 on trigger-line cross, optionally on zero line cross.
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 TDFI - Trend Direction & Force Index
Created: 2025/04/02
PineScript: v6
Uber TDFI - Lite: Trend Direction & Force Index [UTS]The TDFI indicator is a highly precise and faithful adaptation of Mladen's well-known Trend Direction Force Index (TDFT), originally developed in MQ4 format and published on Forex-Station. This TradingView implementation has been meticulously crafted to mirror the exact behavior and calculation logic of the original, ensuring that users experience the same accuracy and analytical depth that made the MQ4 version widely respected among professional traders.
What sets TDFI apart from other trend indicators is its robust foundation and flexibility:
Authentic Calculation Method: Unlike simplified or reinterpreted versions, this script stays true to Mladen’s original computation method, delivering consistent results aligned with his vision of trend force analysis.
26 Moving Average Options: TDFI incorporates a comprehensive selection of 26 moving average types, allowing traders to tailor the trend detection mechanism to suit various market conditions and personal trading styles. This level of configurability is rarely seen and provides a substantial edge in both backtesting and live decision-making.
Advanced Smoothing Capabilities: The indicator supports quadratic smoothing and includes adjustable phase and smooth parameters, further enhancing signal clarity and responsiveness. These features replicate the full feature set of the original MQ4 version, offering granular control over the indicator’s behavior.
TDFI is designed for traders who prioritize precision, adaptability, and analytical fidelity. Whether you are building a new strategy or enhancing an existing one, this tool offers the depth and reliability required for serious technical analysis.
Trend Methods
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
"SMOOTHER", Smoother, Author and year unknown
"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 on trigger-line cross, optionally on zero line cross.
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
Lite Version Constraints
The 'Lite' version keeps things easy, focused on forex and EUR/USD.
About
Name: Uber TDFI - Lite: Trend Direction & Force Index
Created: 2025/04/02
PineScript: v6
Functionally Weighted Moving AverageOVERVIEW
An anchor-able moving average that weights historical prices with mathematical curves (shaping functions) such as Smoothstep , Ease In / Out , or even a Cubic Bézier . This level of configurability lends itself to more versatile price modeling, over conventional moving averages.
SESSION ANCHORS
Aside from VWAP, conventional moving averages do not allow you to use the first bar of each session as an anchor. This can make averages less useful near the open when price is sufficiently different from yesterdays close. For example, in this screenshot the EMA (blue) lags behind the sessionally anchored FWMA (yellow) at the open, making it slower to indicate a pivot higher.
An incrementing length is what makes a moving average anchor-able. VWAP is designed to do this, indefinitely growing until a new anchor resets the average (which is why it doesn't have a length parameter). But conventional MA's are designed to have a set length (they do not increment). Combining these features, the FWMA treats the length like a maximum rather than a set length, incrementing up to it from the anchor (when enabled).
Quick aside: If you code and want to anchor a conventional MA, the length() function in my UtilityLibrary will help you do this.
Incrementing an averages length introduces near-anchor volatility. For this reason, the FWMA also includes an option to saturate the anchor with the source , making values near the anchor more resistant to change. The following screenshot illustrates how saturation affects the average near the anchor when disabled (aqua) and enabled (fuchsia).
AVERAGING MATH
While there's nothing special about the math, it's worth documenting exactly how the average is affected by the anchor.
Average = Dot Product / Sum of Weights
Dot Product
This is the sum of element-wise multiplication between the Price and Weight arrays.
Dot Product = Price1 × Weight1 + Price2 × Weight2 + Price3 × Weight3 ...
When the Price and Weight arrays are equally sized (aka. the length is no longer incrementing from the anchor), there's a 1-1 mapping between Price and Weight indices. Anchoring, however, purges historical data from the Price array, making it temporarily smaller. When this happens, a dot product is synthesized by linearly interpolating for proportional indices (rather than a 1-1 mapping) to maintain the intended shape of weights.
Synthetic Dot Product = FirstPrice × FirstWeight + ... MidPrice × MidWeight ... + LastPrice × LastWeight
Sum of Weights
Exactly what it sounds like, the sum of weights used by the dot product operation. The sum of used weights may be less than the sum of all weights when the dot product is synthesized.
Sum of Weights = Weight1 + Weight2 + Weight3 ...
CALCULATING WEIGHTS
Shaping functions are mathematical curves used for interpolation. They are what give the Functionally Weighted Moving Average its name, and define how each historical price in the look back period is weighted.
The included shaping functions are:
Linear (conventional WMA)
Smoothstep (S curve)
Ease In Out (adjustable S curve)
Ease In (first half of Ease In Out)
Ease Out (second half of Ease In Out)
Ease Out In (eases out and then back in)
Cubic Bézier (aka. any curve you want)
In the following screenshot, the only difference between the three FWMA's is the shaping function (Ease In, Ease In Out, and Ease Out) illustrating how different curves can influence the responsiveness of an average.
And here is the same example, but with anchor saturation disabled .
ADJUSTING WEIGHTS
Each function outputs a range of values between 0 and 1. While you can't expand or shrink the range, you can nudge it higher or lower using the Scalar . For example, setting the scalar to -0.2 remaps to , and +0.2 remaps to . The following screenshot illustrates how -0.2 (lightest blue) and +0.2 (darkest blue) affect the average.
Easing functions can be further adjusted with the Degree (how much the shaping function curves). There's an interactive example of this here and the following illustrates how a degrees 0, 1, and 20 (dark orange, orange, and light orange) affect the average.
This level of configurability completely changes how a moving average models price for a given length, making the FWMA extremely versatile.
INPUTS
You can configure:
Length (how many historical bars to average)
Source (the bar value to average)
Offset (horizontal offset of the plot)
Weight (the shaping function)
Scalar (how much to adjust each weight)
Degree (how much to ease in / out)
Bézier Points (controls shape of Bézier)
Divisor & Anchor parameters
Style of the plot
BUT ... WHY?
We use moving averages to anticipate trend initialization, continuation, and termination. For a given look back period (length) we want the average to represent the data as accurately and smoothly as possible. The better it does this, the better it is at modeling price.
In this screenshot, both the FWMA (yellow) and EMA (blue) have a length of 9. They are both smooth, but one of them more accurately models price.
You wouldn't necessarily want to trade with these FWMA parameters, but knowing it does a better job of modeling price allows you to confidently expand the model to larger timeframes for bigger moves. Here, both the FWMA (yellow) and EMA (blue) have a length of 195 (aka. 50% of NYSE market hours).
INSPIRATION
I predominantly trade ETF derivatives and hold the position that markets are chaotic, not random . The salient difference being that randomness is entirely unpredictable, and chaotic systems can be modeled. The kind of analysis I value requires a very good pricing model.
The term "model" sounds more intimidating than it is. Math terms do that sometimes. It's just a mathematical estimation . That's it. For example, a regression is an "average regressing" model (aka. mean reversion ), and LOWESS (Locally Weighted Scatterplot Smoothing) is a statistically rigorous local regression .
LOWESS is excellent for modeling data. Also, it's not practical for trading. It's computationally expensive and uses data to the right of the point it's averaging, which is impossible in realtime (everything to the right is in the future). But many techniques used within LOWESS are still valuable.
My goal was to create an efficient real time emulation of LOWESS. Specifically I wanted something that was weighted non-linearly, was efficient, left-side only, and data faithful. Incorporate trading paradigms (like anchoring) and you get a Functionally Weighted Moving Average.
The formulas for determining the weights in LOWESS are typically chosen just because they seem to work well. Meaning ... they can be anything, and there's no justification other than "looks about right". So having a variety of functions (aka. kernels) for the FWMA, and being able to slide the weight range higher or lower, allows you to also make it "look about right".
William Cleveland, prominent figure in statistics known for his contributions to LOWESS, preferred using a tri-cube weighting function. Using Weight = Ease Out In with the Degrees = 3 is comparable to this. Enjoy!
BooRSI📘 BooRSI – Multi-Dimensional RSI Framework with Advanced Visual Context
BooRSI is not just another RSI overlay. It is a multi-layered momentum framework that blends traditional RSI dynamics with a set of enhanced visual and structural components to help traders identify market imbalances, momentum shifts, and confluence zones across multiple timeframes. The indicator was designed to assist both discretionary and systematic traders in spotting RSI-based inflection points with greater clarity and context.
🔍 What Makes BooRSI Different?
Unlike standard RSI tools, BooRSI provides a modular visualization layer that lets you:
View RSI in both candle format and classic line mode, making intrabar momentum shifts visible.
Plot dynamic or static Fibonacci retracement levels directly on the RSI scale — useful for identifying confluence between RSI pullbacks and trend continuation zones.
Activate a weekly RSI vs weekly RSI MA crossover highlight, enabling long-term trend filters directly within the intraday or daily RSI window.
Apply subtle gradient band fills to the 30–50–70 zones to enhance zone memory without overwhelming the visual space.
Toggle a custom RSI Moving Average for smoother signal interpretation.
🧠 Underlying Logic & Structure
RSI Calculation: Classic RSI with adjustable OHLC input (default: close). When in “Candle Mode,” it uses RSI(Open), RSI(High), RSI(Low), RSI(Close) to form OHLC candles for intrabar detail.
RSI MA Filter: A secondary SMA (default: 14) smooths RSI values to assist in trend determination.
Fibonacci Mapping: Based on a fixed or dynamic length (default: 55), key Fib levels (38.2%, 50%, 61.8%, etc.) are plotted on the RSI window to map out overreaction or pullback zones.
Multi-Timeframe Context: The system calculates weekly RSI and its moving average, then uses background highlights to show whether the current trend aligns with the higher timeframe momentum direction.
⚙️ Default Settings
Parameter Default Description
RSI Length 14 Base RSI period
RSI MA Length 14 SMA on RSI for trend filtering
Fibonacci Lookback 55 Length for Fibo level projections
Show 30/50/70 Bands True Gradient fill zones for RSI decision zones
Show Fibonacci Levels False Optional – static/dynamic Fib lines on RSI
Candle Mode False Switch between RSI line and RSI OHLC candles
Fibo Style Toggle True Switch between solid, dashed or dotted lines
🎯 Best Use Cases
Momentum Filters: For trend-based strategies, use RSI-MA and HTF background for filter alignment.
Reversal Signals: Use RSI candles to spot strong rejection patterns inside extreme zones.
Mean-Reversion Timing: Combine Fibonacci levels with 30–70 bands to fine-tune entries.
⚠️ Important Note
This is a closed-source indicator due to proprietary RSI candle mapping logic and unique Fibonacci interaction methods. However, this description fully discloses how the tool works and how it adds value beyond a basic RSI implementation.
BooRSI – Çok Katmanlı RSI Çerçevesi
BooRSI, klasik RSI göstergesini birden fazla katmanda zenginleştirerek momentum değişimlerini, aşırı alım/aşırı satım bölgelerini ve farklı zaman dilimi trendlerini daha net görmenizi sağlar:
Çubuk ve Çizgi Modu: RSI’yı hem OHLC mumları hem de klasik çizgi olarak gösterebilir, böylece intrabar hareketleri de izlenebilir.
RSI MA Filtreleme: RSI üzerine uygulanan SMA (varsayılan 14) trend yönünü belirlemenize yardımcı olur.
Fibonacci Seviyeleri: RSI ölçeği üzerinde dinamik veya sabit Fibonacci retracement çizgileri (38.2%, 50%, 61.8% vb.) ekleyerek dönüş ve devam bölgelerini tespit eder.
Haftalık Konteks: Günlük veya daha kısa zaman diliminde, haftalık RSI ve haftalık RSI MA kesişimlerini arka plan rengiyle vurgular.
Gradient 30/50/70 Bantları: Karar bölgelerini boğucu olmayan degradelerle öne çıkarır.
Bu kapalı kaynak gösterge, RSI mum haritalama ve Fib etkileşimindeki özgün mantığı nedeniyle gizlidir; açıklama ise nasıl çalıştığını tam olarak ortaya koyar.
Market Sentiment Index US Top 40 [Pt]▮Overview
Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish.
This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment.
▮Key Features
► Three Simple Modes
High Low Index: counts stocks making new highs or lows over your lookback period
Above Below MA: flags stocks trading above or below their moving average
RSI Sentiment: marks overbought or oversold stocks and plots a small histogram
► Universe Selection
Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ
Option to weight by market cap or treat all symbols equally
► Timeframe Choice
Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution
► Histogram Smoothing
Two optional moving averages on the sentiment bars
Markers show when the faster average crosses above or below the slower one
► Ticker Table
Optional on-chart table showing each ticker’s state in color
Grid or single-row layout with adjustable text size and color settings
▮Inputs
► Mode and Lookback
Pick High Low, Above Below MA, or RSI Sentiment
Set lookback length (for example 10 bars)
If using Above Below MA, choose the moving average type (EMA, SMA, etc.)
► Universe Setup
Market: NYSE or NASDAQ
Number of symbols: 10, 20, 30, or 40
Weights: on or off
Timeframe: blank to match chart or pick any other
► Moving Averages on Histogram
Enable fast and slow averages
Set their lengths and types
Choose colors for averages and markers
► Table Options
Show or hide the symbol table
Select text size: tiny, small, or normal
Choose layout: grid or one-row
Pick colors for bullish, neutral, and bearish cells
Show or hide exchange prefixes
▮How to Read It
► Sentiment Bars
Green means bullish
Red means bearish
Near zero means neutral
► Zero Line
Separates bullish from bearish readings
► High Low Line (High Low mode only)
Smooth ratio of highs versus lows over your lookback
► MA Crosses
Fast MA above slow MA hints rising breadth
Fast MA below slow MA hints falling breadth
► Ticker Table
Each cell colored green, gray, or red for bull, neutral, or bear
▮Use Cases
► Confirm Market Trends
Early warning when price makes highs but breadth is weak
Catch rallies when breadth turns strong while price is flat
► Spot Sector Rotation
Switch between NYSE and NASDAQ to see which group leads
Watch tech versus industrial breadth to track money flow
► Filter Trade Signals
Enter longs only when breadth is bullish
Consider shorts when breadth turns negative
► Combine with Other Indicators
Use RSI Sentiment with trend tools to spot overextended moves
Add volume indicators in High Low mode for breakout confirmation
► Timeframe Analysis
Daily for big-picture bias
Intraday (15-min) for precise entries and exits
FX Currency Strength DashboardFX Currency Strength Dashboard (1H, 2H, 8H, 5D, 30D)
The FX Currency Strength Dashboard is a multi-timeframe performance analyzer for the 8 major currencies:
EUR, USD, GBP, JPY, AUD, NZD, CAD, CHF.
It displays the relative strength or weakness of each currency over five timeframes:
1 Hour
2 Hours
8 Hours
5 Days
30 Days
🧮 How It Works
Performance Measurement:
For each currency, the indicator calculates the average rate of change (ROC) across 7 currency pairs that represent that currency (e.g. EURUSD, EURJPY, EURCHF, etc.).
Directional Adjustment:
For quote-side currencies (e.g. USD in EURUSD), the ROC is inverted (i.e., negative) to correctly reflect the base currency's strength.
Averaging:
The 7 ROC values per currency are averaged to produce a clean, comparable strength score for that currency in each timeframe.
Table Display:
A real-time table shows strength scores for all 8 currencies.
The strongest currency per timeframe is highlighted in green.
The weakest currency is highlighted in red.
Neutral or middle values appear in gray.
Updates:
The dashboard refreshes every 5 bars on the 1H chart to reduce load and improve performance.
CRT Finder (WanHakimFX)📈 Liquidity Grab Indicator with MTF Confluence & Alerts
🔍 Overview:
The Liquidity Grab Indicator is designed to detect precise moments when price sweeps liquidity — either by wicking below recent lows (bullish LQH) or above recent highs (bearish LQL) — followed by a clear rejection. It combines this logic with multi-timeframe confirmation and trend filters, making it a powerful tool for identifying high-probability reversal setups.
⚙️ How It Works:
✅ Liquidity Sweep Logic (LQH / LQL)
Bullish (LQH):
Current candle wicks below the previous low
Closes above the previous candle body
Confirms potential bullish reversal
Bearish (LQL):
Current candle wicks above the previous high
Closes below the previous candle body
Confirms potential bearish reversal
✅ Additional Conditions:
Must occur during London or New York sessions.
Requires trend confluence:
LQH = Price must be above SMMA 60/100/200
LQL = Price must be below SMMA 60/100/200
🧠 Multi-Timeframe Confluence:
The indicator scans for LQH/LQL sweeps across:
Daily
4H
1H
30M
15M
If a sweep occurs on any of these timeframes, an alert is triggered and a triangle marker appears on the chart for real-time visual confluence.
📊 Visual Features:
Green/Red labels for active timeframe sweeps.
Dotted wick lines to show liquidity zones from the previous candle.
Colored triangle markers for MTF sweep alerts.
🛠 Strategy Usage:
This indicator is best used as a trigger tool in a confluence-based strategy:
Use higher-timeframe MTF LQH/LQL markers for directional bias.
Wait for matching sweep on your entry timeframe (e.g., M1/M5).
Enter on confirmation candle or break of structure.
Target imbalances, FVGs, or previous highs/lows.
Risk-managed entries using sweep candle's high/low as stop.
📢 Alerts:
✅ Bullish Sweep (LQH) on any timeframe
✅ Bearish Sweep (LQL) on any timeframe
Uber Baseline V2 - NNFX Edition [UTS]Uber Baseline V2 – NNFX Edition
Uber Baseline V2 – NNFX Edition is a highly customizable baseline component designed for seamless integration into any trading system. Tailored specifically for the No Nonsense Forex (NNFX) methodology, it serves as a powerful trend filter—helping traders stay aligned with the dominant market direction while avoiding low-probability trades during consolidation.
Choose from 26 high-quality moving averages to find the perfect-fitting baseline for your trading style. Whether you're trend-following or building a complete NNFX stack, this tool adapts to your strategy with precision and clarity.
Usage
🧭 Baseline as Trend Filter
Direction: Trade only in the direction of the baseline. A long entry is only valid if the price closes above the baseline; a short entry only if it closes below.
As VP explains, the baseline “is making sure you are getting into trades that are trending, keeping you out of trades that aren’t trending” and signals exits when trends fail.
📈 Entry Rule (Baseline Cross + ATR)
Baseline Cross: An entry occurs only when price crosses and closes on the opposite side of the baseline.
ATR Zone: The close must lie within a ±1×ATR band around the baseline. In other words, price must close within “the 1 ATR zone of the baseline”.
Confirmations: All primary/secondary confirmation indicators and volume must agree with the move.
“An entry should occur when price crosses the baseline and the price is within the 1 ATR zone of the baseline and all of your indicators agreeing.”
🔁 Beyond-ATR & Pullback Rule
No Immediate Entry: If a baseline signal occurs while price is outside the ±1×ATR band, do not enter immediately. Treat this as a pullback scenario.
Wait for Retrace:
“WATCH for next candle” – enter only when the next bar closes back within the 1×ATR band around the baseline.
If price had closed beyond 1×ATR, only enter when a subsequent candle closes within 1×ATR of the baseline, with all indicators still aligned.
“If Price closes within 1×ATR of Baseline you can enter trade.”
⏳ One-Candle Rule
Filter Lag: If the primary confirmation (C1) fires but the secondary or volume indicators have not yet signaled, you may delay entry by one bar.
Second Chance Entry:
“You can wait one more candle after and enter if your secondary indicator and/or volume indicator have caught up and are giving you a signal.”
This delay is allowed only once per signal and all conditions must be met on the second candle.
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
"SMOOTHER", Smoother, Author and year unknown
"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
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: 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 'On Bar Close' setting.
Long Signal
Short Signal
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: Short Signal
About
Name: Uber Baseline V2 - NNFX Edition
Created: 2025/05/09
PineScript: v6
Hybrid Swing/Day Alert System - PLATINUM EditionThis indicator is a complete trading assistant designed for crypto swing and day traders, built to identify high-probability long and short setups based on a multi-confirmation system.
Strategy Logic
The system scans and confirms entries only when 6 major confluences align:
1. EMA Trend: Price is above or below the EMA 9, 21, and 200 (bullish or bearish trend).
2. RSI Zone: RSI(14) is between 40-60 (ideal reversal zone).
3. Volume Confirmation: Volume is declining on pullback and then spikes.
4. Accumulation/Distribution: A/D line rising (for longs) or falling (for shorts).
5. Fibonacci Pullback Zone: Automatic detection of swing high/low and checks if price is inside the golden zone (0.5-0.618).
Built-In Alerts
- Long Setup Confirmed - Short Setup Confirmed - Setup Forming: Monitor
Conclusion
This script is ideal for disciplined traders who value confluence-based entries, risk/reward logic, and trend-aligned trades. Perfect for semi-automated trading via alerts or manual execution.6. Candle Pattern: Bullish (hammer, doji, engulfing) or Bearish (rejection wick, engulfing, doji).
Visual Features
- Long Entry: Green square
- Short Entry: Red triangle
- Pre-Signal Alert: Blue circle (confluence forming)
- Dynamic Table: Displays all 6 confirmations in real time
- Fibonacci Zones: Auto-plotted long/short retracement zones
- Customizable: Turn on/off alerts, overlays, and direction filters
Best Use Cases
- 4H/Daily: Trend confirmation
- 1H: Entry execution
- 15min: Scalping (use cautiously)
- Works great with BTC, ETH, SOL, XAU, and meme coins
Uber Baseline V2 - Lite: NNFX Edition [UTS]Uber Baseline V2 – NNFX Edition
Uber Baseline V2 – NNFX Edition is a highly customizable baseline component designed for seamless integration into any trading system. Tailored specifically for the No Nonsense Forex (NNFX) methodology, it serves as a powerful trend filter—helping traders stay aligned with the dominant market direction while avoiding low-probability trades during consolidation.
Choose from 26 high-quality moving averages to find the perfect-fitting baseline for your trading style. Whether you're trend-following or building a complete NNFX stack, this tool adapts to your strategy with precision and clarity.
Usage
🧭 Baseline as Trend Filter
Direction: Trade only in the direction of the baseline. A long entry is only valid if the price closes above the baseline; a short entry only if it closes below.
As VP explains, the baseline “is making sure you are getting into trades that are trending, keeping you out of trades that aren’t trending” and signals exits when trends fail.
📈 Entry Rule (Baseline Cross + ATR)
Baseline Cross: An entry occurs only when price crosses and closes on the opposite side of the baseline.
ATR Zone: The close must lie within a ±1×ATR band around the baseline. In other words, price must close within “the 1 ATR zone of the baseline”.
Confirmations: All primary/secondary confirmation indicators and volume must agree with the move.
“An entry should occur when price crosses the baseline and the price is within the 1 ATR zone of the baseline and all of your indicators agreeing.”
🔁 Beyond-ATR & Pullback Rule
No Immediate Entry: If a baseline signal occurs while price is outside the ±1×ATR band, do not enter immediately. Treat this as a pullback scenario.
Wait for Retrace:
“WATCH for next candle” – enter only when the next bar closes back within the 1×ATR band around the baseline.
If price had closed beyond 1×ATR, only enter when a subsequent candle closes within 1×ATR of the baseline, with all indicators still aligned.
“If Price closes within 1×ATR of Baseline you can enter trade.”
⏳ One-Candle Rule
Filter Lag: If the primary confirmation (C1) fires but the secondary or volume indicators have not yet signaled, you may delay entry by one bar.
Second Chance Entry:
“You can wait one more candle after and enter if your secondary indicator and/or volume indicator have caught up and are giving you a signal.”
This delay is allowed only once per signal and all conditions must be met on the second candle.
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
"SMOOTHER", Smoother, Author and year unknown
"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
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: 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 'On Bar Close' setting.
Long Signal
Short Signal
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: Short Signal
Lite Version Constraints
The 'Lite' version keeps things easy, focused on forex and EUR/USD.
About
Name: Uber Baseline V2 – Lite: NNFX Edition
Created: 2025/05/09
PineScript: v6
MSTR mNAV IndicatorStrategy mNAV Indicator
Script contains hard-coded historic share counts and BTC holdings of Strategy Inc. ( NASDAQ:MSTR ). Using these, we derived the Bitcoin mNAV multiple for the company. The formula used in this script looks like the following:
mNAV = (Fully Diluted Shares Outstanding * NASDAQ:MSTR ) / (BTC holdings * BITSTAMP:BTCUSD )
This value appears in the Blue tag at the right hand side of the chart on the latest bar. In addition, the script displays mNAV layers below and above the normal ticker chart. These are computed by taking fixing a value for the mNAV (e.g. mNAV=3) and solving the equation above for the NASDAQ:MSTR price that would equate to having that mNAV.
The user is able to configure the number of said mNAV lines to draw but is limited from mNAV = 1 up to mNAV = 20.
Why is the script private?
This script includes data on the relative count of fully diluted shares for Strategy ( NASDAQ:MSTR ) that was manually determined by the author after going through countless hours of SEC disclosures. Since there is no publicly available repository for this information and the author would like to retain the right to make this available at a later date, the script is kept private.
Long Short dom📊 Long Short dom (VI+) — Custom Vortex Trend Strength Indicator
This indicator is a refined version of the Vortex Indicator (VI) designed to help traders identify trend direction, momentum dominance, and potential long/short opportunities based on VI+ and VI– dynamics.
🔍 What It Shows:
• VI+ (Green Line): Measures upward trend strength.
• VI– (Red Line): Measures downward trend strength.
• Histogram (optional): Displays the difference between VI+ and VI–, helping visualize which side is dominant.
• Background Coloring: Highlights bullish or bearish dominance zones.
• Zero Line: A visual baseline to enhance clarity.
• Highest/Lowest Active Lines: Real-time markers for the strongest directional signals.
⸻
🛠️ Inputs:
• Length: Vortex calculation period (default 14).
• Show Histogram: Enable/disable VI+–VI– difference bars.
• Show Trend Background: Toggle colored zones showing trend dominance.
• Show Below Zero: Decide whether to display values that fall below 0 (for advanced use).
⸻
📈 Strategy Insights:
• When VI+ crosses above VI–, it indicates potential long momentum.
• When VI+ crosses below VI–, it signals possible short pressure.
• The delta histogram (VI+ – VI–) helps you quickly see shifts in momentum strength.
• The background shading provides an intuitive visual cue to assess trend dominance at a glance.
⸻
🚨 Built-in Alerts:
• Bullish Cross: VI+ crosses above VI– → possible entry long.
• Bearish Cross: VI+ crosses below VI– → possible entry short.
⸻
✅ Ideal For:
• Trend-following strategies
• Identifying long/short bias
• Confirming entries/exits with momentum analysis
⸻
This tool gives you clean, real-time visual insight into trend strength and shift dynamics, empowering smarter trade decisions with clarity and confidence.
Max Trend Points [BigBeluga]🔵 OVERVIEW
A clean and powerful tool for identifying major trend shifts and quantifying the strength of each move using dynamically calculated price extremes.
This indicator helps traders visualize the most significant trend changes by plotting trend direction lines and dynamically tracking the highest or lowest point within each trend leg. It’s ideal for identifying key price impulses and measuring their magnitude in real time.
🔵 CONCEPTS
Uses an adaptive trend-following logic based on volatility envelopes created from HMA of the price range (high - low).
Identifies trend direction and flips when price breaks above or below these dynamic envelopes.
Tracks swing highs and lows within the current trend leg to highlight trend extremes.
Calculates and displays the percentage gain or drop from trend start to trend peak/valley.
🔵 FEATURES
Trend Shift Detection:
Plots a colored trend line (uptrend or downtrend) that updates based on price action volatility.
Impulse Mapping:
Draws a dashed line between the point of trend change (close) and the current trend leg's extreme (highest high or lowest low).
Percentage Labeling:
Displays a floating label showing the exact percent change from the trend start to the current extreme.
Real-Time Adjustments:
As the trend progresses, the extreme point and the percent label update automatically to reflect new highs/lows.
🔵 HOW TO USE
Look for the trend color shift and circular marker to identify a new potential trend direction.
Use the dashed lines and percent label to evaluate the strength and potential maturity of each move.
Combine this tool with support/resistance levels or other indicators to identify confluence zones.
Adjust the "Factor" input to make the trend detection more or less sensitive depending on your timeframe.
🔵 CONCLUSION
Max Trend Points is an efficient visual indicator for understanding the structure and magnitude of trending moves. It provides essential feedback on how far a trend has traveled, where momentum may be peaking, and when a shift may be underway—all with real-time adaptability and clean presentation.
Supertrend + Stochastic RSIThe Supertrend + Stochastic RSI indicator is designed for scalping and short-term trading, combining the trend-following power of the Supertrend with the momentum insights of the Stochastic RSI to generate reliable buy and sell signals. This indicator aims to reduce false signals by requiring confirmation from both trend direction and momentum, making it suitable for traders targeting quick, high-probability trades in fast-moving markets on lower timeframes (e.g., 1-minute to 15-minute charts).
How It Works
The indicator integrates two technical components to produce actionable signals:
Supertrend for Trend Direction:
The Supertrend, calculated with a default length of 10 and a factor of 3.0, identifies the prevailing trend. It plots a line above or below the price, turning green when the trend is bullish (price above Supertrend) and red when bearish (price below Supertrend). This helps traders stay aligned with the market’s direction, reducing trades against the trend.
Stochastic RSI for Momentum Confirmation:
The Stochastic RSI, computed over a 14-period RSI with 3-period smoothing for %K and %D lines, measures momentum. A buy signal is generated when the %K line crosses above the oversold level (default: 20), indicating potential upward momentum, while a sell signal occurs when %K crosses below the overbought level (default: 80), suggesting downward momentum.
Signal Generation
Signals are produced only when both conditions align, using the previous bar’s values to prevent repainting:
Buy Signal: The Stochastic RSI %K crosses above the oversold level, and the Supertrend confirms a bullish trend (price above Supertrend). Displayed as a green upward triangle below the bar.
Sell Signal: The Stochastic RSI %K crosses below the overbought level, and the Supertrend confirms a bearish trend (price below Supertrend). Displayed as a red downward triangle above the bar.
Forex Session + Volume Profile [RunRox]📊 Forex Session + Volume Profile is built especially for traders who work with intra-session liquidity concepts or any strategy that needs a clear visual of trading sessions and the liquidity inside them.
Our team created this indicator to give you better session visibility, flexible session styling, and extra tools that help you navigate the market more easily.
📌 Features:
6 fully customizable sessions
Kill Zone (the high-impact trading window)
Volume Profile for each session
POC / VAL / VAH / LVN levels (Point of Control, Value Area Low, Value Area High, Low Volume Node)
PDH / PDL levels (Previous Day High / Low)
PWH / PWL levels (Previous Week High / Low)
NYM level (New York Market level)
Active sessions table
5 style options for each session
All of this gives you the flexibility to set up exactly the layout you need for your trading. Below, you’ll find a more detailed look at each feature.
🗓️ 6 CUSTOMIZABLE SESSION
The indicator includes six sessions that you can fully customize to fit your needs—everything from naming each session and choosing line colors to adjusting opacity, showing the volume profile, or even turning off a session entirely if you don’t need it.
Plus, you can pick different display styles for each session. As shown in the screenshot below, there are five style options you can apply individually to every session.
5 Style Options for Sessions
BOX
AREA
ZONES
LINES
CURVED
These styles can be customized for each session individually to help you highlight the sessions you care about on your chart. Example below
📢 VOLUME PROFILE
We’ve also integrated a Volume Profile into the indicator to pinpoint important levels on the chart. On top of that, we’ve added extra volume-based levels. Below, you’ll find the settings and a visual demo of how it appears on your chart.
To identify optimal entry points, you can use the following key reference levels:
POC (Point of Control)
VAL (Value Area Low)
VAH (Value Area High)
LVN (Low Volume Node)
You can also customize colors and line styles, or hide any levels you don’t need on your chart.
📐 ADDITIONAL LEVELS
You can display the following levels on your chart:
NYM (New York Market)
PDH (Previous Day High)
PDL (Previous Day Low)
PWH (Previous Week High)
PWL (Previous Week Low)
All of these are fully customizable with color selection and the option to extend lines into the next period.
💹 ACTIVE SESSION TABLE
The active sessions table helps you quickly identify the trading times for the sessions you care about. It’s fully customizable, with options to choose border and background colors for the table itself.
🟠 USAGE
This indicator is highly versatile: use it to simply mark trading sessions on your chart, set up the Kill Zone at your chosen time, or identify the context of the previous session by its most traded range levels. All of this makes the indicator an invaluable tool for any trader!
Angel Signal proAngel Signal Pro is a comprehensive technical analysis tool that integrates multiple indicators for a structured market assessment.
RSI, MACD, and ADX — evaluate trend strength and identify potential entry and exit points.
Momentum and ATR — measure price acceleration and volatility, assisting in risk management.
Stochastic Oscillator — detects overbought and oversold conditions.
SMA (50, 100, 200) — tracks key moving averages with the option to enable all at once.
Cryptocurrency price display — select and monitor real-time prices of any cryptocurrency available on the BINANCE exchange.
Automatic trend detection— classifies trends as bullish, bearish, or neutral based on RSI and MACD signals.
Customizable table — presents key indicator values in a structured and convenient format. The table also provides automatic trend detection across different timeframes (TF), allowing you to assess the current market situation more accurately on various levels.
Automatic gap detection — identifies market gaps, helping to spot potential trading opportunities.
Buy and sell signals — the system generates buy and sell signals based on the analysis of five key indicator values, allowing traders to respond quickly to market changes.
Bollinger Bands — helps assess market volatility and identify support and resistance levels, as well as potential reversal points, by detecting when prices move outside of normal volatility ranges.
Customization settings — in Angel Signal Pro, you can select which indicators and features you want to display. All elements can be turned on or off according to your preferences. There is also the ability to change colors and the appearance of each element, allowing you to tailor the interface to your personal preferences and make the tool more convenient to use.
Angel Signal Pro is suitable for traders of all experience levels and helps navigate market conditions with confidence.
29 мар.
Информация о релизе
Added Super Trend, improved the quality of buy and sell signals, and enhanced settings. Now, all toggle buttons for enabling and disabling indicators follow one another.
30 мар.
Информация о релизе
Fixed several errors in the settings and improved gap search.
Daily Price RangeThe indicator is designed to analyze an instrument’s volatility based on daily extremes (High-Low) and to compare the current day’s range with the typical (median) range over a selected period. This helps traders assess how much of the "usual" daily movement has already occurred and how much may still be possible during the trading day.
Adaptive Volume-Weighted RSI (AVW-RSI)Concept Summary
The AVW-RSI is a modified version of the Relative Strength Index (RSI), where each price change is weighted by the relative trading volume for that period. This means periods of high volume (typically driven by institutions or “big money”) have a greater influence on the RSI calculation than periods of low volume.
Why AVW-RSI Helps Traders
Avoids Weak Signals During Low Volume
Standard RSI may show overbought/oversold zones even during low-volume periods (e.g., during lunch hours or after news).
AVW-RSI gives less weight to these periods, avoiding misleading signals.
Amplifies Strong Momentum Moves
If RSI is rising during high volume, it's more likely driven by institutional buying—AVW-RSI reflects that stronger by weighting the RSI component.
Filters Out Retail Noise
By prioritizing high-volume candles, it naturally discounts fakeouts caused by thin markets or retail-heavy moves.
Highlights Institutional Entry/Exit
Useful for spotting hidden accumulation/distribution that classic RSI would miss.
How It Works (Calculation Logic)
Traditional RSI Formula Recap
RSI = 100 - (100 / (1 + RS))
RS = Average Gain / Average Loss (over N periods)
Modified Step – Apply Volume Weight
For each period
Gain_t = max(Close_t - Close_{t-1}, 0)
Loss_t = max(Close_{t-1} - Close_t, 0)
Weight_t = Volume_t / AvgVolume(N)
WeightedGain_t = Gain_t * Weight_t
WeightedLoss_t = Loss_t * Weight_t
Weighted RSI
AvgWeightedGain = SMA(WeightedGain, N)
AvgWeightedLoss = SMA(WeightedLoss, N)
RS = AvgWeightedGain / AvgWeightedLoss
AVW-RSI = 100 - (100 / (1 + RS))
Visual Features on Chart
Line Color Gradient
Color gets darker as volume weight increases, signaling stronger conviction.
Overbought/Oversold Zones
Traditional: 70/30
Suggested AVW-RSI zones: Use dynamic thresholds based on historical volatility (e.g., 80/20 for high-volume coins).
Volume Spike Flags
Mark RSI turning points that occurred during volume spikes with a special dot/symbol.
Trading Strategies with AVW-RSI
1. Weighted RSI Divergence
Regular RSI divergence becomes more powerful when volume is high.
AVW-RSI divergence with volume spike is a strong signal of reversal.
2. Trend Confirmation
RSI crossing above 50 during rising volume is a good entry signal.
RSI crossing below 50 with high volume is a strong exit or short trigger.
3. Breakout Validation
Price breaking resistance + AVW-RSI > 60 with volume = Confirmed breakout.
Price breaking but AVW-RSI < 50 or on low volume = Potential fakeout.
Example Use Case
Stock XYZ is approaching a resistance zone. A trader sees:
Standard RSI: 65 → suggests strength.
Volume is 3x the average.
AVW-RSI: 78 → signals strong momentum with institutional backing.
The trader enters confidently, knowing this isn't just low-volume hype.
Limitations / Tips
Works best on liquid assets (Forex majors, large-cap stocks, BTC/ETH).
Should be used alongside price action and volume analysis—not standalone.
Periods of extremely high volume (news events) might need smoothing to avoid spikes.
Range + VWAP + Gann Levels + ZL AMA + Gann Square Num# Multi-Strategy Market Analysis Indicator
## Overview
This comprehensive indicator combines several powerful technical analysis tools to help traders identify potential price movements, market trends, and key support/resistance levels. By integrating price range prediction, volume-weighted averages, adaptive moving averages, and Gann-based mathematical levels, this indicator provides a complete toolkit for market analysis.
## Components & How They Work
### 1. Range Calculator
**What it does:** Calculates the expected price range based on current volatility, useful for predicting potential price movements during a specific time period.
**How it works:**
- Uses the current price level and VIX (Volatility Index) to estimate how far the price might move in a given number of days
- Applies the square root of time principle (volatility grows with the square root of time)
- Displays upper and lower bounds of the expected price range
- Shows the calculation details in a convenient table
**How to use it:**
- Enter the current price level, VIX value, and number of days
- red line indicates potential resistance
- green line indicates potential support
- Useful for options trading, setting stop-loss levels, or preparing for upcoming market events
### 2. Gann Square Numbers
**What it does:** Identifies mathematically significant price levels based on square numbers.
**How it works:**
- Takes the square root of the current price
- Calculates the next 5 square numbers above the current price (upper levels)
- Calculates the 5 square numbers below the current price (lower levels)
- Draws these levels as horizontal lines on the chart
**How to use it:**
- Pink lines (upper levels) show potential resistance levels
- Blue lines (lower levels) show potential support levels
- These mathematical levels often coincide with significant market reactions
- Based on W.D. Gann's theory that price tends to respect mathematical square numbers
### 3. Zero Lag Adaptive Moving Average (AMA)
Bullish Scenario
Bearish Scenario
**What it does:** Provides a dynamic moving average that adapts to changing market conditions, reducing lag during trends while filtering noise during sideways markets.
**How it works:**
- Calculates an "Efficiency Ratio" that measures the directional movement relative to volatility
- Adjusts the smoothing factor based on market efficiency
- Uses a faster smoothing factor during trending markets and slower smoothing during sideways markets
- Background color changes to indicate the trend direction (green for uptrend, red for downtrend)
**How to use it:**
- When price is above the AMA line with green background: Strong uptrend
- When price is below the AMA line with red background: Strong downtrend
- Helpful for trend identification and potential entry/exit points
### 4. Gann Stepline Levels
**What it does:** Creates dynamic support and resistance levels based on multiple SMAs (Simple Moving Averages) of different lengths.
**How it works:**
- Calculates two key dynamic levels:
- Gann 50% Level: Average of 90 and 144-period SMAs
- Gann Level: Average of six different SMAs (90, 144, 180, 216, 240, 288)
- These levels adjust automatically as the market evolves
**How to use it:**
- Blue line (Gann 50% Level) acts as dynamic support in uptrends and resistance in downtrends
- Orange line (Gann Level) serves as a longer-term trend indicator
- Price interaction with these levels often indicates potential reversal or continuation points
### 5. Anchored VWAP (Volume-Weighted Average Price)
**What it does:** Shows the average price weighted by volume starting from a specific anchor point.
**How it works:**
- Calculates the average price weighted by volume from a chosen anchor period (Session, Day, Week, Month)
- Resets calculations at the beginning of each new period
- Shows where the current price is relative to the average trading price
**How to use it:**
- Price above VWAP: Bullish bias, buyers are in control
- Price below VWAP: Bearish bias, sellers are in control
- VWAP often acts as dynamic support/resistance level
- Institutional traders often use VWAP for order execution
## Key Benefits
- **Comprehensive Analysis:** Combines volatility-based, trend-following, volume-weighted, and mathematical approaches
- **Multi-timeframe Perspective:** Different components operate on various timeframes for a complete market view
- **Visual Clarity:** Color-coded lines and background help quickly identify market conditions
- **Customizable Components:** Range Calculator, VWAP, and Gann Square Numbers can be adjusted to fit your trading style
## How to Interpret When Used Together
- **Strong Trend Confirmation:** When AMA shows a trend and price respects the Gann Dynamic levels
- **Reversal Signals:** When price reaches the expected range bounds and encounters a Gann Square Number
- **High-Probability Zones:** Areas where multiple components show support/resistance at similar levels
- **Volatility Assessment:** Compare the expected range from the Range Calculator with the actual price movement
This indicator combines statistical, trend-following, and mathematical approaches to market analysis, providing traders with a well-rounded view of market conditions and potential price movements.
