Shannon Entropy (Quant Lab)🟦 Shannon Entropy = The level of "order" or "chaos" in the market.
This indicator gives you the answer to the question:
"Is the market currently orderly and understandable, or is it random and chaotic?"
No other classical indicator can accurately show this.
The value of Entropy is between 0 and 1:
⸻
🟩 1) Entropy = 0.0 – 0.3 → Structured, orderly, readable market
During these periods, the price:
• A trend forms • Ranges work clearly • Patterns (head & shoulders, flag, triangle) form smoothly • Systems like Z-score, VWAP, EMA work very cleanly • Data for modeling (algorithmic strategies, ML) is high quality
Think of this region as follows:
The market "works according to rules," it's easy to trade.
⸻
🟧 2) Entropy = 0.3 – 0.7 → Normal behavior region
In this region:
• Neither too orderly nor too chaotic
• Most systems operate at an average rate • We can say the market is healthy
It is tradable; however, the conditions are not perfect.
⸻
🟥 3) Entropy = 0.7 – 1.0 → Chaos / Noise / Manipulation region
This is the MOST DANGEROUS REGION OF THE MARKET.
What happens?
• Prices jump randomly left and right. • Wicks increase excessively. • Fake breakouts multiply. • The win rate of strategies decreases. • Trend-following systems constantly generate "false signals." • Even mean-reversion systems are caught off guard. • ML models learn junk data during these periods. • Generally, news, liquidation cascades, and manipulation periods increase entropy.
This period perfectly illustrates:
"There is no logic in this market right now — it's moving randomly."
Therefore, it's a period where you need to be very careful:
Reduce position size. • Trade less. • Avoid unnecessary risks. • Tighten stop losses. • Don't use leverage.
This is your risk alert panel.
⸻
🔥 The real superpower Entropy gives you: Trend selection and system selection
Entropy → Determines which strategy you will use.
✔ Low Entropy → Trend following or mean-reversion that works like a toy
✔ High Entropy → Even opening a trade is risky
✔ Normal Entropy → Most strategies work
Building a strategy without this information is unprofessional.
⸻
🧠 Critical summary (you can even copy and paste it as a description in TradingView):
Low entropy → market is structured, patterns & trends are reliable
High entropy → market is chaotic, noisy, unpredictable; avoid aggressive trading
Entropy tells you if your strategy has a high chance or low chance of working
⸻
🟦 Signals Entropy gives in practice:
🔹 Entropy is falling →
The market is stabilizing → A major trend or strong move is approaching.
🔹 Entropy is rising →
The market is becoming chaotic → Sudden spike, a period of trading in prayer mode, extra risk.
🔹 Low Entropy + VR > 1 + High ER → FULL TREND MARKET
A true “trend paradise” period.
🔹 Low Entropy + VR < 1 + High FDI → RANGE MARKET
A paradise of mean reversion.
🔹 High Entropy + High VoV → DANGEROUS PERIOD
Big explosions, news, and liquidations happen here.
⸻
⭐ IN SHORT:
Entropy = an indicator of how randomly the market behaves.
• 0–0.3 → regular, good, reliable market
• 0.3–0.7 → normal market
• 0.7–1.0 → chaotic, dangerous market
It tells you at a glance whether you should trade during this period or not.
المؤشرات والاستراتيجيات
9 EMA Retracement Buy/Sell + Volume FilterFor all you scalpers out there this is a 9 ema scalp Indicator coupled with volume bars, the Indicator plots buy and sell when the conditions are met
Price mist be above or below the 9 ema it must retrace and the volume bar must match the direction of the candle and then a signal will be printed with a red or green triangle, do not blindly take all trades on the signals make sure the is a trend works on any asset and remember it is for scalping only
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does
🎯 1) Market analysis is being released (bottom-top analysis)
It automatically finds pivot bottoms and pivot tops on the strategic chart. Then:
If the bottoms are rising (HL – High Low): the trend is upward
If the tops are falling (LH – Lower High): the trend is downward
it interprets this.
🎯 2) Support and resistance lines are formed
Last pivot top = resistance line
Last pivot bottom = support line
These lines are automatically drawn on the chart.
🎯 3) Breakout is expected according to the trend structure
For LONG:
The last two bottoms will be rising bottoms
The price will rise above the last resistance line
This gives a single LONG signal.
For SHORT:
The last two peaks will be falling peaks
The price will fall below the support line
This gives a single SHORT signal.
ADR% / ATR / Dynamic LoD–HoD TableThis indicator displays a clean data table showing ADR%, ATR, and a dynamic LoD/HoD distance value based on daily trend conditions.
When price is above the 21-day or 50-day moving average, the indicator shows the distance from the Low of Day.
When price is below BOTH daily moving averages, it automatically switches to showing distance from the High of Day.
The table updates in real-time and gives a fast, volatility-based view of where price sits inside the day’s range.
Features
• ADR% (Average Daily Range Percentage)
• ATR (Average True Range)
• Automatic LoD → HoD switching based on daily trend
• Customizable colors and layout
• Clean, space-efficient table format
• Designed for intraday and volatility-focused traders
KernelFunctionsLibrary "KernelFunctions"
This library provides non-repainting kernel functions for Nadaraya-Watson estimator implementations. This allows for easy substition/comparison of different kernel functions for one another in indicators. Furthermore, kernels can easily be combined with other kernels to create newer, more customized kernels.
rationalQuadratic(_src, _lookback, _relativeWeight, startAtBar)
Rational Quadratic Kernel - An infinite sum of Gaussian Kernels of different length scales.
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
_relativeWeight (simple float) : Relative weighting of time frames. Smaller values resut in a more stretched out curve and larger values will result in a more wiggly curve. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel.
startAtBar (simple int)
Returns: yhat The estimated values according to the Rational Quadratic Kernel.
gaussian(_src, _lookback, startAtBar)
Gaussian Kernel - A weighted average of the source series. The weights are determined by the Radial Basis Function (RBF).
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
startAtBar (simple int)
Returns: yhat The estimated values according to the Gaussian Kernel.
periodic(_src, _lookback, _period, startAtBar)
Periodic Kernel - The periodic kernel (derived by David Mackay) allows one to model functions which repeat themselves exactly.
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
_period (simple int) : The distance between repititions of the function.
startAtBar (simple int)
Returns: yhat The estimated values according to the Periodic Kernel.
locallyPeriodic(_src, _lookback, _period, startAtBar)
Locally Periodic Kernel - The locally periodic kernel is a periodic function that slowly varies with time. It is the product of the Periodic Kernel and the Gaussian Kernel.
Parameters:
_src (float) : The source series.
_lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.
_period (simple int) : The distance between repititions of the function.
startAtBar (simple int)
Returns: yhat The estimated values according to the Locally Periodic Kernel.
MLExtensionsLibrary "MLExtensions"
A set of extension methods for a novel implementation of a Approximate Nearest Neighbors (ANN) algorithm in Lorentzian space.
normalizeDeriv(src, quadraticMeanLength)
Returns the smoothed hyperbolic tangent of the input series.
Parameters:
src (float) : The input series (i.e., the first-order derivative for price).
quadraticMeanLength (int) : The length of the quadratic mean (RMS).
Returns: nDeriv The normalized derivative of the input series.
normalize(src, min, max)
Rescales a source value with an unbounded range to a target range.
Parameters:
src (float) : The input series
min (float) : The minimum value of the unbounded range
max (float) : The maximum value of the unbounded range
Returns: The normalized series
rescale(src, oldMin, oldMax, newMin, newMax)
Rescales a source value with a bounded range to anther bounded range
Parameters:
src (float) : The input series
oldMin (float) : The minimum value of the range to rescale from
oldMax (float) : The maximum value of the range to rescale from
newMin (float) : The minimum value of the range to rescale to
newMax (float) : The maximum value of the range to rescale to
Returns: The rescaled series
getColorShades(color)
Creates an array of colors with varying shades of the input color
Parameters:
color (color) : The color to create shades of
Returns: An array of colors with varying shades of the input color
getPredictionColor(prediction, neighborsCount, shadesArr)
Determines the color shade based on prediction percentile
Parameters:
prediction (float) : Value of the prediction
neighborsCount (int) : The number of neighbors used in a nearest neighbors classification
shadesArr (array) : An array of colors with varying shades of the input color
Returns: shade Color shade based on prediction percentile
color_green(prediction)
Assigns varying shades of the color green based on the KNN classification
Parameters:
prediction (float) : Value (int|float) of the prediction
Returns: color
color_red(prediction)
Assigns varying shades of the color red based on the KNN classification
Parameters:
prediction (float) : Value of the prediction
Returns: color
tanh(src)
Returns the the hyperbolic tangent of the input series. The sigmoid-like hyperbolic tangent function is used to compress the input to a value between -1 and 1.
Parameters:
src (float) : The input series (i.e., the normalized derivative).
Returns: tanh The hyperbolic tangent of the input series.
dualPoleFilter(src, lookback)
Returns the smoothed hyperbolic tangent of the input series.
Parameters:
src (float) : The input series (i.e., the hyperbolic tangent).
lookback (int) : The lookback window for the smoothing.
Returns: filter The smoothed hyperbolic tangent of the input series.
tanhTransform(src, smoothingFrequency, quadraticMeanLength)
Returns the tanh transform of the input series.
Parameters:
src (float) : The input series (i.e., the result of the tanh calculation).
smoothingFrequency (int)
quadraticMeanLength (int)
Returns: signal The smoothed hyperbolic tangent transform of the input series.
n_rsi(src, n1, n2)
Returns the normalized RSI ideal for use in ML algorithms.
Parameters:
src (float) : The input series (i.e., the result of the RSI calculation).
n1 (simple int) : The length of the RSI.
n2 (simple int) : The smoothing length of the RSI.
Returns: signal The normalized RSI.
n_cci(src, n1, n2)
Returns the normalized CCI ideal for use in ML algorithms.
Parameters:
src (float) : The input series (i.e., the result of the CCI calculation).
n1 (simple int) : The length of the CCI.
n2 (simple int) : The smoothing length of the CCI.
Returns: signal The normalized CCI.
n_wt(src, n1, n2)
Returns the normalized WaveTrend Classic series ideal for use in ML algorithms.
Parameters:
src (float) : The input series (i.e., the result of the WaveTrend Classic calculation).
n1 (simple int)
n2 (simple int)
Returns: signal The normalized WaveTrend Classic series.
n_adx(highSrc, lowSrc, closeSrc, n1)
Returns the normalized ADX ideal for use in ML algorithms.
Parameters:
highSrc (float) : The input series for the high price.
lowSrc (float) : The input series for the low price.
closeSrc (float) : The input series for the close price.
n1 (simple int) : The length of the ADX.
regime_filter(src, threshold, useRegimeFilter)
Parameters:
src (float)
threshold (float)
useRegimeFilter (bool)
filter_adx(src, length, adxThreshold, useAdxFilter)
filter_adx
Parameters:
src (float) : The source series.
length (simple int) : The length of the ADX.
adxThreshold (int) : The ADX threshold.
useAdxFilter (bool) : Whether to use the ADX filter.
Returns: The ADX.
filter_volatility(minLength, maxLength, useVolatilityFilter)
filter_volatility
Parameters:
minLength (simple int) : The minimum length of the ATR.
maxLength (simple int) : The maximum length of the ATR.
useVolatilityFilter (bool) : Whether to use the volatility filter.
Returns: Boolean indicating whether or not to let the signal pass through the filter.
backtest(high, low, open, startLongTrade, endLongTrade, startShortTrade, endShortTrade, isEarlySignalFlip, maxBarsBackIndex, thisBarIndex, src, useWorstCase)
Performs a basic backtest using the specified parameters and conditions.
Parameters:
high (float) : The input series for the high price.
low (float) : The input series for the low price.
open (float) : The input series for the open price.
startLongTrade (bool) : The series of conditions that indicate the start of a long trade.
endLongTrade (bool) : The series of conditions that indicate the end of a long trade.
startShortTrade (bool) : The series of conditions that indicate the start of a short trade.
endShortTrade (bool) : The series of conditions that indicate the end of a short trade.
isEarlySignalFlip (bool) : Whether or not the signal flip is early.
maxBarsBackIndex (int) : The maximum number of bars to go back in the backtest.
thisBarIndex (int) : The current bar index.
src (float) : The source series.
useWorstCase (bool) : Whether to use the worst case scenario for the backtest.
Returns: A tuple containing backtest values
init_table()
init_table()
Returns: tbl The backtest results.
update_table(tbl, tradeStatsHeader, totalTrades, totalWins, totalLosses, winLossRatio, winrate, earlySignalFlips)
update_table(tbl, tradeStats)
Parameters:
tbl (table) : The backtest results table.
tradeStatsHeader (string) : The trade stats header.
totalTrades (float) : The total number of trades.
totalWins (float) : The total number of wins.
totalLosses (float) : The total number of losses.
winLossRatio (float) : The win loss ratio.
winrate (float) : The winrate.
earlySignalFlips (float) : The total number of early signal flips.
Returns: Updated backtest results table.
EMA 9/18/50 Crossover Alert By PRIGood for equity. When this crossover happen you may go long with sl keeping low of previous candle. Cautios in sideways market.
Linechart + Wicks - by SupersonicFXThis is a simple indicator that shows the highs and lows (wicks) on the linechart.
You can vary the colors.
Nothing more to say.
Hope some of you find it useful.
Daily O/C Span (Real Values & SMA Comparison)This Pine Script indicator helps you visualize and track the "momentum" or "strength" of each trading day, and compares it to a recent average. It essentially measures the net movement of the price from when the market opens to when it closes.
What the Script Does
The script performs the following actions:
Calculates Daily Movement: For every single trading day, it calculates the difference between the closing price and the opening price (Close - Open).
Plots the "Span": These daily differences are plotted as vertical bars (a histogram) in a separate window below your main price chart.
-Green bars mean the stock closed higher than it opened (a strong day).
-Red bars mean the stock closed lower than it opened (a weak day).
Calculates the Average: It calculates the Simple Moving Average (SMA) of these daily spans over an adjustable period (default is 30 days).
Plots the Average Line: A blue line is plotted over the green/red bars, showing the typical magnitude of daily movement.
Displays Comparison: A table in the top-right corner provides a quick, real-time numerical comparison of today's span versus the 30-day average span.
How It Can Improve Trading
This indicator helps you understand the character and conviction of price action, offering several trading insights:
Gauging Momentum: It clarifies whether the stock's moves are generally strong and sustained within a day (large spans) or hesitant (small spans).
Identifying Trends: During an uptrend, you might expect the average span line to be consistently positive (above zero), and vice versa for a downtrend. A positive average span indicates buyers are consistently closing the day stronger than where they started it.
Spotting Reversals: If a stock is in a strong uptrend but you suddenly see a series of large red bars (large negative spans), it could signal a shift in momentum and potential upcoming reversal.
Volatility Context: By comparing the current day's bar to the blue average line, you can quickly determine if today is an unusually strong/weak day relative to recent history.
In short, it helps you see the underlying buyer/seller conviction within each day, making it easier to gauge the overall market sentiment and anticipate potential shifts.
Smart Scalper V7 [Churn Filter]Indicator uses relative volume by time as well as ADX to highlight if volume is high to prevent trading in chop or being faked out.
Dec 1
Release Notes
How to Read the "Traffic Light" 🚦
You asked: "How do I work out if volume is higher or lower?" Look at the White Horizontal Line running across the indicator.
Height (Quantity):
Above the Line: Volume is High (The crowd is here).
Below the Line: Volume is Low (Everyone is at lunch).
Color (Quality):
🟢 Green: High Volume + Strong Trend. (Best for Entries).
🟡 Yellow: High Volume but NO Trend. This is usually a Reversal or a Trap. (Big fight, no winner yet).
🟠 Orange: Trending, but on Low Volume. The price is drifting. Don't trust it—it can snap back easily.
🔴 Red: Low Volume, No Trend. The "Kill Zone." Do not trade.
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators.
This Lite edition focuses on the essentials:
real activity vs dead sessions
expansion vs contraction
momentum shifts around breakouts and pullbacks
No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework.
Use it to quickly spot:
stronger moves backed by genuine participation
weak pushes running on low volume
areas where momentum may stall or accelerate
Part of the VCAI Lite Series.
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)Extended Indicator Description
Ichimoku + VWAP + OBV + ATR Full System is a rule-based intraday trading indicator designed specifically for NQ day trading, focusing on trend alignment, participation confirmation, and volatility-aware execution.
This indicator does not rely on a single signal or crossover. Instead, it integrates multiple market dimensions into one structured framework to help traders identify high-probability trend continuation scenarios while avoiding low-quality, range-bound conditions.
System Philosophy
The core idea of this system is simple:
trade only when trend, price location, volume, and volatility are aligned.
Each component plays a specific role and is not meant to be used in isolation. The indicator works best when all conditions reinforce the same directional bias.
Component Breakdown
Ichimoku Cloud
Used to define the primary market structure and directional bias. The system favors trades only when price action aligns clearly above or below the cloud, helping filter out indecisive or transitional phases.
VWAP
Acts as a session-based equilibrium reference. Price position and distance relative to VWAP are used to confirm whether the market is trending with intent rather than reverting to the mean.
OBV (On-Balance Volume)
Provides participation and flow confirmation. OBV helps validate whether price movement is supported by volume, reducing the likelihood of false breakouts or weak trend signals.
ATR (Average True Range)
Used as a volatility filter and risk-awareness tool. ATR conditions help the system avoid low-volatility environments and support more realistic expectations for intraday movement.
Trade Logic Overview
The system is designed around trend-following pullbacks, not prediction or counter-trend trading.
When trend structure is established and confirmed by VWAP positioning and OBV behavior, pullback zones within the trend become areas of interest. ATR conditions ensure that trades are taken only when sufficient movement potential exists.
Rather than generating frequent signals, the system prioritizes selectivity and clarity, making it suitable for disciplined day traders who value context over quantity.
Intended Use
This indicator is built for:
NQ intraday and day trading
Trend continuation and pullback strategies
Traders who prefer structured, confirmation-based systems
Lower to mid intraday timeframes such as 3-minute, 5-minute, and 15-minute charts
Important Notes
This is not an automated trading system and does not provide guaranteed results. The indicator is designed as a decision-support tool to assist with market context, directional bias, and trade timing. Risk management, execution, and position sizing remain the responsibility of the user.
롱/숏 삼각형 시그널
동그라미 청산 시그널
VWAP 밴드 기반 방향성
OBV 보조지표
이름 (Name)
BTC Scalping Signal – VWAP + OBV
짧은 설명 (Short Description)
VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다.
긴 설명 (Long Description)
이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다.
VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다.
OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다.
시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다.
삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
Rectangle Breakout Patterns📊 Rectangle Breakout Pattern Detector (Support & Resistance)
This indicator is a dynamic tool designed to automatically identify and visualize Rectangle Continuation Patterns and Trading Ranges based on pure price action. It focuses on finding horizontal areas of long-term support and resistance where price is consolidating before an eventual breakout.
💡 What It Does
The core function of this indicator is to detect and plot the boundaries of significant consolidation areas on your chart. It follows a multi-step confirmation process:
Level Detection: It automatically identifies significant Pivot Highs and Lows.
Pattern Confirmation: It confirms Support and Resistance by counting the number of times price 'touches' a level (controlled by the Min Pivot Touches setting).
Visualization: Once confirmed, it draws a Box around the consolidation area. This box automatically extends to the right as long as the price remains contained, showing the active trading range.
This provides an objective, code-driven approach to a classic chart pattern often relied upon by technical analysts.
Market + Direction + Entry + Hold + Exit v1.5 FINALIndicator Description
Market + Direction + Entry + Hold + Exit is a rule-based intraday trading indicator designed to identify high-quality trend opportunities while filtering out low-probability market conditions.
Instead of relying on a single signal, this indicator combines market activity, trend direction, momentum, structure, and pullback logic into one unified framework. It is built to support disciplined, rule-driven trading rather than discretionary or predictive approaches.
Core Logic
The indicator operates through a multi-layer confirmation process.
First, it evaluates whether the market is active enough to trade. Market activity is determined by volatility expansion, volume participation, and price displacement from VWAP. When sufficient activity is detected, the indicator allows trades to be considered.
Next, directional bias is defined using exponential moving averages and price positioning. This creates a clear long-only or short-only environment and helps avoid counter-trend trades.
Entry Structure
Entries are based on pullbacks within an established trend rather than breakout chasing.
The first valid pullback is marked as the initial entry. If the trend continues and additional controlled pullbacks occur, re-entry opportunities are identified and labeled sequentially. This structure helps traders scale into trends in a systematic and measured way.
Hold Confirmation
While a position is active, the indicator provides hold confirmation using momentum alignment and candle behavior. This is designed to help traders remain in strong trends and reduce premature exits during normal pullbacks.
Exit Logic
Exit signals appear only when two conditions align: market structure failure and clear trend weakening. This approach avoids exits based on minor price noise and focuses on objective trend invalidation.
Intended Use
This indicator is designed for intraday trading and scalping on indices, futures, and cryptocurrency markets. It performs best on lower to mid timeframes such as 3-minute, 5-minute, and 15-minute charts, where trend continuation and pullback behavior are most visible.
Asset Presets
Built-in presets are provided for NQ, Gold, and BTC. Each preset automatically adjusts internal parameters such as volatility thresholds, structure sensitivity, and trend strength filtering.
Important Notes
This indicator does not predict future price movements. It is a decision-support tool designed to help traders align with market conditions, manage entries systematically, and maintain consistency. Risk management, position sizing, and execution remain the responsibility of the user.
지표 설명
Market + Direction + Entry + Hold + Exit는 시장의 흐름이 명확한 구간에서만 거래 기회를 포착하도록 설계된 규칙 기반 인트라데이 트레이딩 지표입니다.
이 지표는 단일 신호에 의존하지 않고, 시장 활성도, 추세 방향, 모멘텀, 가격 구조, 되돌림 조건을 단계적으로 결합하여 낮은 확률의 구간을 걸러내는 데 초점을 둡니다. 예측보다는 정렬과 필터링을 통해 일관된 의사결정을 돕는 것이 목적입니다.
핵심 개념
지표는 여러 단계의 조건을 순차적으로 통과해야 신호를 생성하는 구조로 설계되어 있습니다.
먼저, 현재 시장이 거래하기에 충분히 활성화되어 있는지를 판단합니다. 변동성, 거래량, VWAP 대비 가격 이탈 정도를 기준으로 시장 상태를 평가하며, 일정 기준 이상일 때만 거래를 고려합니다.
이후, 이동평균과 가격 위치를 기반으로 추세 방향을 정의하여 롱 또는 숏 한 방향만 허용합니다. 이를 통해 역추세 진입을 자연스럽게 차단합니다.
진입 구조
진입은 돌파가 아닌 추세 내 되돌림을 기준으로 설계되어 있습니다.
첫 번째 유효한 되돌림 구간을 초기 진입으로 표시하며, 추세가 유지되는 동안 추가적인 되돌림이 발생할 경우 재진입 기회를 순차적으로 제공합니다. 이러한 구조는 감정적인 물타기가 아닌, 규칙 기반의 분할 진입을 가능하게 합니다.
홀드 신호
포지션 보유 중에는 모멘텀 정렬과 캔들 흐름을 통해 추세 지속 여부를 확인할 수 있습니다. 이를 통해 정상적인 조정 구간에서는 성급한 청산을 줄이고, 추세가 유지되는 동안 포지션을 안정적으로 관리할 수 있도록 돕습니다.
청산 로직
청산 신호는 가격 구조 붕괴와 추세 약화가 동시에 확인될 때만 발생합니다. 단기적인 노이즈에 의한 잦은 청산을 피하고, 추세가 객관적으로 무너지는 구간에 집중하도록 설계되었습니다.
활용 대상
이 지표는 인트라데이 트레이딩과 스캘핑에 적합하며, 지수, 선물, 암호화폐 시장에서 활용할 수 있습니다. 특히 3분, 5분, 15분 차트에서 추세와 되돌림 구조가 명확하게 나타나는 환경에서 효과적입니다.
자산 프리셋
NQ, Gold, BTC에 대해 사전 설정된 프리셋이 제공되며, 각 자산의 변동성과 특성에 맞게 내부 파라미터가 자동으로 조정됩니다.
유의 사항
본 지표는 가격의 미래를 예측하지 않습니다. 시장 환경을 정리하고 거래 판단을 보조하는 도구로서 사용되며, 손절 기준과 포지션 사이즈 관리는 사용자 책임입니다.
Ultimate Trading System - DMA/EMA + Volume + Chart PatternsOVERVIEW
Ultimate Trading System (UTS) is a comprehensive technical analysis tool that combines multiple analysis methods into one powerful
indicator. It detects market structure, identifies chart patterns, analyzes volume, and provides actionable trade recommendations.
FEATURES
17 MOVING AVERAGES
• 6 DMAs (Simple): 5, 10, 20, 50, 100, 200
• 11 EMAs (Exponential): 5, 8, 9, 12, 20, 21, 34, 50, 100, 180, 200
• Smart labels with price values
• Golden Cross / Death Cross detection
CHART PATTERN DETECTION
• Triangles: Ascending, Descending, Symmetrical
• Reversals: Head & Shoulders, Double Top, Double Bottom
• Continuation: Bull Flag, Bear Flag
• Confidence scores for each pattern
VOLUME ANALYSIS
• Relative volume vs 20-period average
• Volume trend detection (rising/falling)
• Bullish/Bearish divergence alerts
• Volume confirmation for signals
SMART ANALYSIS TABLE
• Real-time pattern detection
• Probability-based confidence scores
• Clear trade recommendations
• Volume status and divergence warnings
MARKET STRUCTURE DETECTION
• ACCUMULATION - Strong bullish setup
• DISTRIBUTION - Strong bearish setup
• BULL SETUP - Favorable long conditions
• BEAR SETUP - Favorable short conditions
• TRANSITION - Market changing direction
• CHOPPY - Avoid trading
HOW TO USE
1. Check the analysis table for current market bias
2. Look for pattern confirmations (Triangle, H&S, Double Top/Bottom)
3. Verify volume is confirming the move (not diverging)
4. Follow the ACTION recommendation
5. Use MA levels for support/resistance and stop placement
RECOMMENDATIONS
• 80%+ Confidence = Strong signal, consider entry
• 60-80% Confidence = Look for entries on pullbacks
• 40-60% Confidence = Wait for confirmation
• <40% Confidence = Avoid trading
SETTINGS
• Toggle individual MAs on/off
• Customize colors for each MA
• Adjust label offsets
• Set alert sensitivity (Conservative/Medium/Aggressive)
• Show/hide background colors and analysis table
ALERTS
Set alerts for:
• Strong Buy/Sell signals
• Chart pattern detection
• Volume divergences
• Golden/Death crosses
BEST USED ON
• Stocks, Forex, Crypto, Indices
• Timeframes: 5min to Daily
• Works on all markets
Short-Term Bubble Risk [Phantom] Short-Term Bubble Risk
Concept
This indicator visualizes short-term market risk by measuring how far price is stretched relative to its recent weekly trend.
Instead of focusing on absolute price levels, it looks at price behavior.
A similar reading means similar market conditions, whether price is high or low.
The goal is to help identify areas of potential accumulation and potential distribution in a clear, visual way.
How It Works
The indicator compares the weekly closing price to a weekly moving average and displays the deviation as a histogram.
When price is far below its average, risk is considered lower
When price is far above its average, risk is considered higher
The zero line represents fair value, where price equals its weekly average.
Features
Color-coded histogram showing short-term risk levels
Designed to work across different assets and price ranges
Optional bar coloring on the main chart using weekly risk data
Safe to use on any timeframe (risk is calculated on weekly data)
Settings
# Moving Average Length (Weeks):
Adjusts how sensitive the indicator is to price changes
# Color Visibility Toggles:
Allows hiding or showing specific risk zones
# Bar Coloring:
Option to color chart candles based on weekly risk levels
Usage
This indicator is best used as a risk lens, not a timing tool.
Common uses include:
Identifying potential accumulation zones during weakness
Spotting overextended conditions during strong moves
Comparing short-term risk across different assets
Adding context to trend-following or DCA strategies
Trade Ideas
# Lower-risk zones (cool colors):
Can support accumulation or patience during downtrends
# Higher-risk zones (warm colors):
Can signal caution, reduced exposure, or profit-taking
Always combine with:
Trend direction
Market structure
Higher-timeframe context
Limitations
This indicator does not predict tops or bottoms
High risk can remain high during strong trends
Low risk does not guarantee immediate reversals
It should not be used as a standalone trading system.
Disclaimer
This indicator is for educational and informational purposes only.
It is not financial advice.
Always do your own research and manage risk appropriately.
ARDO - Adaptive Regression Deviation Oscillator (v2.4.6)ARDO – Adaptive Regression Deviation Oscillator (v2.4.6)
ARDO (Adaptive Regression Deviation Oscillator) quantifies deviation of price structure from a regression-based equilibrium baseline using adaptive moving-average spreads. It combines percentile-normalized distance, linear-regression slope, and dynamic gradient scaling to reveal trend extension, exhaustion, and regime shifts—offering a structural view of trend integrity and mean-reversion timing beyond traditional momentum oscillators. It is designed to help you answer two questions:
Where are we in the regime? (extended, neutral, or reversal-prone)
Is this a “trade” environment or a “stand aside” environment? (Gate PASS vs Gate BLOCK / drift)
ARDO is best used as a context + timing framework , not a standalone entry/exit system.
What you see in the ARDO pane
1) Spread A (% vs baseline)
Primary “timing” spread (default: stepline). Spread A is colored by a 4-state maColor model:
GREEN : above baseline and strengthening
ORANGE : above baseline but weakening
RED : below baseline and weakening
GRAY : below baseline but improving
2) Spread B (% vs baseline)
Secondary “context” spread (default: columns). Same 4-state color model as above, often used to confirm or filter Spread A behavior.
3) LinReg (slope-gradient)
A LinReg line fit to a selected source (Spread A / Spread B / Spread A+B). ARDO applies a slope-magnitude gradient (opacity/intensity) to visualize regime:
Stronger slope magnitude = stronger directional regime
Fading / low slope magnitude = drift / dead-zone (lower edge, choppy conditions, or end-of-move)
4) Tier zones (Q0–Q2, H2–H4)
ARDO classifies LinReg values into percentile tiers (extremes and mid-tiers). These tiers can be rendered as:
Background regions, or
Zero-line marker circles (“MK …” plots)
Important: Background colors do not export . The “MK Q0 … MK H4” series are emitted so you can reconstruct tier membership in CSV/backtests.
5) Gate PASS / Gate BLOCK
A compact “permission layer” that can require:
Spread A > LinReg
EMA Fast > EMA Slow
Minimum Spread A threshold
Minimum absolute LinReg slope
Use Gate PASS to focus on higher-quality conditions; use Gate BLOCK as a “do nothing / reduce size” warning.
Key settings (what they change)
Tier Mode
Standard: symmetric cut structure (general purpose)
Asymmetric: separate tuning for highs vs lows (often better when upside and downside behavior are not symmetric)
Tier Population
All Bars (LinReg): tiers represent the full LinReg distribution
Pivots Only: tiers are computed from pivot events only (can tighten “extreme” definition and change how frequently zones appear)
Render Mode
Background: easiest to read visually
Zero-line Markers: best for export/backtesting workflows (MK series)
Gating options
Turn on/off each rule independently; adjust thresholds to match symbol volatility and timeframe.
Color overrides
Optional per-state color customization for Spread A, Spread B, and LinReg (4-state).
Alerts included (v2.4.6)
ARDO exposes named alerts you can use for automation or review, including:
Gradient / regime alerts (HIGH vs LOW slope-magnitude regimes; regime shift transitions)
Color-state changes (Spread B → GREEN/ORANGE/RED/GRAY; LinReg state changes)
Tier entry alert s (LinReg entering key tiers such as Q0/Q1/H3/H4)
Structural primitives (Bullish A > B, Bearish A < B, Gate PASS/BLOCK, crosses of 0, etc.)
How to use (practical workflow)
Anchor timeframe (65m or Daily): identify regime (tiers + gradient) and whether you should be aggressive or defensive.
Execution timeframe (5m/1m): time entries using Spread A/B structure and Gate PASS, aligned with the anchor regime.
Avoid forcing trades in drift: fading gradient + mid/low-edge tiers often marks “dead-zone” conditions.
Notes / limitations
ARDO is a context engine: it describes regime and location, not guaranteed direction.
Tier thresholds are distribution-based and will vary by window/timeframe.
Always apply your own risk management; this script is not financial advice.
FVG DUAL HTF ALERTS FINAL DG FVG Dual HTF - Advanced Fair Value Gap Detector with Confluence & Strength Analysis
Professional-grade Fair Value Gap (FVG) detection system designed for precision trading on Gold and other instruments.
🎯 Key Features
Dual Higher Timeframe Analysis
HTF1 & HTF2 Detection: Simultaneously monitors two higher timeframes (default: 15min & 60min) for Fair Value Gaps
Multi-timeframe Confluence: Automatically detects when FVGs align across multiple timeframes for high-probability setups
Customizable Timeframes: Choose from 5min, 15min, 60min, 4H, or Daily for each HTF
Intelligent Strength Scoring System (0-11 Scale)
Our proprietary algorithm rates each FVG based on:
Gap size relative to ATR
Volume analysis vs. average
Current timeframe confluence (★ symbol indicates FVG exists on your chart timeframe)
Session timing (London & New York priority)
HTF confluence bonus
Color-Coded Ratings:
🟢 Lime (8-11): Premium strength - highest probability setups
🟡 Yellow (5-7): Good strength - solid opportunities
⚪ Gray (0-4): Weak strength - proceed with caution
Sweet Spot Entry Zones
Inner Box Technology: Highlights the optimal 10% entry zone within each FVG
BUY/SELL Labels: Clear visual cues for directional bias
Automatic Entry/Stop/Target Lines: Shows precise risk-reward setups on the 3 nearest FVGs
Position Sizing Calculator: Displays dollar values based on your lot size
Advanced Fill Methods
Choose how FVGs are invalidated:
Wick Sweep: Most conservative - requires price to sweep through the gap
Any Touch: Price touches the FVG boundary
Midpoint Reached: 50% fill required
Body Beyond: Strictest - candle body must close through the gap
Comprehensive Market Intelligence Table
Real-time monitoring of:
Gold Daily & Hourly Bias (with pip movement)
BTC Daily & Hourly Bias (optional)
Distance to nearest Bull/Bear FVGs
IN ZONE Indicator: 🔥 Alerts when price enters premium sweet spots
Shows strength rating and HTF source
Color-coded: Premium / Good / Weak / Out
Professional Alert System
HTF1 & HTF2 Zone Entry Alerts
Sweet Spot Entry Alerts (BUY/SELL)
High-Strength FVG Alerts (8+ rating)
Combined "ANY HTF" alerts for maximum flexibility
📊 Default Configuration
Optimized for Gold (XAU/USD) on 3-minute charts
Session Focus: London (8am-12pm GMT) & New York (1:30pm-4pm GMT)
Risk Management: Built-in R:R calculator with customizable stops and targets
🎨 Customization Options
Multiple color schemes for bull/bear zones
Adjustable inner box percentage
Confluence highlighting (bright colors when HTF1 & HTF2 align)
Show/hide individual components
BTC correlation tracking (optional)
⚙️ Technical Specifications
Maximum Display: Up to 50 FVGs per type (HTF1 Bull/Bear, HTF2 Bull/Bear)
Fill Tracking: Monitors touched vs. untouched zones
Lookback Period: Configurable (default: 100 bars for current TF confluence)
Body Close Requirement: Optional strict mode for cleaner signals
📈 Best Used For
Gold (XAU/USD) day trading
Institutional order flow analysis
High-probability reversal setups
Multi-timeframe confirmation strategies
Risk-reward optimization
🔒 Access & Support
This is a private indicator. Contact the owner for details about access and usage.
Disclaimer: This indicator is a tool for technical analysis. Past performance does not guarantee future results. Always use proper risk management and trade responsibly.
Short Version (if space is limited):
FVG Dual HTF - Professional Fair Value Gap System
Advanced FVG detector with dual higher timeframe analysis, intelligent strength scoring (0-11), and multi-timeframe confluence detection. Features sweet spot entry zones, automatic R:R lines, real-time IN ZONE alerts, and comprehensive market intelligence table.
Highlights:
🎯 Dual HTF monitoring (15m/60m default)
⭐ Strength scoring with current TF confluence (★)
📊 Color-coded ratings: Lime (8+) / Yellow (5-7) / Gray (<5)
🎨 Sweet spot inner boxes with BUY/SELL signals
🔔 Professional alert system
💰 Built-in position sizing calculator
📈 Gold Daily/Hourly + BTC bias tracking
Optimized for Gold and BTC. Multiple fill methods, customizable colors, and extensive settings.
Contact owner for access details.
Previous CandleThis indicator tracks the direction of the previous closed candle across multiple timeframes and displays it in a bottom-right dashboard table on your chart.
It is useful for top-down analysis, helping traders quickly see short-term and higher-timeframe candle momentum
Visible Range / POC / Volume / SNR Detector PROVisible Range POC & Volume SNR Detector PRO
Visible Range POC & Volume SNR Detector PRO is a professional-grade volume-based market structure tool designed to identify institutional Support & Resistance zones, Point of Control (POC), and Value Areas directly from the visible chart range.
This indicator goes beyond traditional swing highs and lows by analyzing real traded volume, revealing where large players are active, where price finds fair value, and where high-probability reactions are most likely to occur.
🔍 Core Features
📊 Visible Range Volume Profile
🔹Builds a full Volume Profile using only the visible chart range
🔹Splits price into configurable precision bins for maximum accuracy
🔹Detects true volume clusters instead of subjective price levels
🎯 Point of Control (POC)
🔹 Automatically identifies the highest-volume price level
🔹Acts as a magnet price where market participants agree on value
🔹Fully customizable line style, width, and color
🔹 Optional label with timeframe + price + volume (K / M / B)
📦 Value Area (VAH / VAL)
* Calculates Value Area High & Low around the POC
* Default **70% volume range** (institutional standard)
* Optional Value Area fill for clear fair-value visualization
* Helps distinguish **range conditions vs trending moves**
🧱 Volume-Based Support & Resistance Zones
🔹Automatically detects high-impact S&R zones from volume behavior
🔹Zones are visually classified by strength:
🔹 🟢 Strong
🔹 🟡 Medium
🔹 🔴 Weak
🔹Clean box rendering with customizable borders:
🔹 Solid / Dashed / Dotted
🔹 Zones extend dynamically into the future for planning trades
🔄 Dynamic Flip Logic (PRO Standard)
🔹 Advanced Dynamic Flip system:
🔹 Support ➜ Resistance after a breakdown
🔹Resistance ➜ Support after a breakout
🔹 Reflects real market structure shifts
🔹Eliminates outdated static levels
🔁 True Retest & Zone Intelligence
🔹Each zone includes detailed contextual data:
🔹🔄 True Retest Count (price leaves zone and comes back)
🔹⏳ Zone Age (minutes / hours / days)
🔹💪 Strength Classification
🔹🔁 Flip Status
🔹⏱️ Timeframe
🔹💲 Exact price level
🔹All information is displayed in a single clean label.
🔔 Smart Alerts System
🔹Never miss key interactions:
🔹🟢 Touch Alert — price enters a zone
🔹⬇️⬆️ Break Alert — zone failure or breakout
🔹🔄 Retest Alert — classic break & retest setup
Alerts trigger on confirmed bars to reduce noise and false signals.
📋 Professional Dashboard
🔹At-a-glance market overview:
🔹Total Support & Resistance zones
🔹🎯 POC level
🔹📦 VA High / VA Low
🔹💪 Strong / Medium / Weak zone distribution
🔹📍 Nearest Support & Resistance
🔹📏 Distance to key levels
🔹 🎨 Auto / Dark / Light theme support
🔹 📐 Adjustable size & position
