CANX Supply and Demand - Order Block - Candle Identification© CanxStixTrader
CANX Supply and Demand - Order Block - Candle Identification
Description
Designed as a visual aid, to highlight the last up or down candle before a fractal break. We can assume these candles where the point of origin that generated enough strength to break recent structure. By using them as reference points, traders are expected to follow their own set of rules and mark higher probability supply and demand zones in the area.
How to use:
Expect price to retest in these areas, and if they fail, a potential retest in the opposite direction . The greater the number of times a zone is tested, the more likely it is to break. A fresh zone that has not yet been tested will have a higher probability of a bounce.
Fractal period and candle break type can be customized in the settings. This works on all time frames.
**The indicator is set to my optimal settings for the 5 minute or 15 minute time frame** Please mess around to find your comfort zone and back test the results.
The lower the period number the more noise this creates on the market. The higher the number the less noise and more potential for a stronger zone.
Keep it simple
Indicators and strategies
RVOL - Relative Volume IntradayIn the context of intraday trading, RVOL stands for Relative Volume. It is a technical indicator that compares the current volume of a stock to its average volume over a specified period. A RVOL above 1 suggests higher than average trading volume, potentially indicating increased interest and volatility.
The precise definition of real time relative volume is current cumulative volume up to the time of day divided by average cumulative volume up to this time of day. It means for example taking the volume from 09:45 to 10:00 and comparing it to what it does from 09:45 to 10:00 every day.
This indicator supports all timeframes from1 minute to 4 hours.
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics -
Version: PineScript™ v6
📌 Description
The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making.
This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner.
🚀 Points of Innovation
Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator.
Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes.
Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength.
Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent.
Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics.
Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line.
🔧 Core Components
Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes.
Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move.
Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure.
Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic).
Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength.
🔥 Key Features
Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity.
Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum.
Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action.
Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions.
Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions.
Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states.
🎨 Visualization
Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction.
Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish).
Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability.
Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’).
📖 Usage Guidelines
Setting Categories
Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance.
Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal.
Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect.
Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier.
Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart.
Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header.
Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard.
✅ Best Use Cases
Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend.
Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements.
Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions.
Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity.
Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses.
Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets.
⚠️ Limitations
Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals.
Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line.
Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions.
Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance.
💡 What Makes This Unique
Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand.
Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions.
Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions.
🔬 How It Works
Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement.
Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance.
Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA.
Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent.
Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude.
Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring.
💡 Note:
The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
D/W Open [flasi]Vertical Session Lines:
Draws vertical lines at the start of each new trading session (default: 5 PM)
Sunday sessions appear with black/dark lines
Weekday sessions appear with white/light lines
Horizontal Price Lines (optional):
Can show horizontal lines at the opening prices
Sunday opens marked with dark lines
Weekday opens marked with light lines
Toggle on/off with "Show Horizontal Lines" input
Filt ADR🟠 Script Name: Filtered Average Daily Range (Filt ADR)
This script calculates a filtered version of the Average Daily Range (ADR) based on the last 14 daily candles. It's designed to reduce the influence of unusually high or low daily ranges (outliers) by applying a filter before calculating the average.
🔧 How It Works — Step by Step
1. Calculate Daily Ranges (High - Low)
It retrieves the daily price ranges (difference between daily high and low) for the last 14 days using request.security() with the "D" (daily) timeframe.
pinescript
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high - low // today's daily range
high - low // yesterday's daily range
...
These values are stored into individual variables dr0 to dr13.
2. Build an Array of Daily Ranges
An array named ranges is used to store the 14 daily ranges, but only if they are not na (missing data). This avoids errors during processing.
3. Calculate the Initial (Unfiltered) Average Range
The script sums all values in the ranges array and calculates their average:
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avg_all = total sum of ranges / number of valid entries
4. Filter Out Outliers
Now it filters the values in ranges:
Only keeps the ranges that are between 0.5×avg_all and 2×avg_all.
This is to remove abnormally small or large daily ranges that could distort the average.
The filtered values are added to a second array called filtered.
5. Calculate the Filtered ADR
Finally, it calculates the average of the filtered daily ranges:
pinescript
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avg_filt = sum of filtered ranges / number of filtered values
This is the Filtered ADR.
6. Plot the Result
The result (avg_filt) is plotted as an orange line on the chart. It updates on each bar (depending on the current timeframe you're viewing) but the underlying data is based on the last 14 daily candles.
pinescript
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plot(avg_filt, title="Filtered ADR", color=color.orange, linewidth=2)
✅ Use Case
This script is useful for traders who use the Average Daily Range (ADR) to:
Estimate expected price movement during a day
Set volatility-based stop-loss or take-profit levels
Identify days with unusually high or low volatility
By filtering out extreme values, it provides a more stable and reliable estimate of daily volatility.
Crypto Portfolio vs BTC – Custom Blend TrackerThis tool tracks the performance of a custom-weighted crypto portfolio (SUI, BTC, SOL, DEEP, DOGE, LOFI, and Other) against BTC. Simply input your start date to anchor performance and compare your basket’s relative strength over time. Ideal for portfolio benchmarking, alt-season tracking, or macro trend validation.
Supports all timeframes. Based on BTC-relative returns (not USD). Open-source and customizable.
MTF Trend + Crossover AlertsMulti-Timeframe Trend Dashboard + Crossover Signals
This indicator provides a clean, real-time visual dashboard of trend directions across multiple timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D), based on moving average crossovers.
🔹 Trend Detection Logic:
When the fast MA is above the slow MA → Bullish trend 🚀
When the fast MA is below the slow MA → Bearish trend 🐻
When both are equal or ranging → Neutral
📊 Dashboard Features:
Displays trend status for each selected timeframe
Color-coded cells (green = bullish, red = bearish, gray = neutral)
Includes emojis for visual clarity
🔔 Buy/Sell Alerts:
On the active chart timeframe, buy and sell signals are plotted when the fast MA crosses above or below the slow MA. You can also enable TradingView alerts based on these events.
🧩 Customizable Inputs:
Fast MA period
Slow MA period
MA type (EMA or SMA)
🔧 Ideal for traders who want a quick snapshot of market structure across multiple timeframes and receive real-time crossover signals on their current chart.
Volume-Weighted Price MovementThe Volume-Weighted Price Movement (VWPM) indicator is an easy to read technical analysis tool that analyses how volume and price movement work together to drive market momentum.
How It Works
The VWPM indicator tracks two primary components:
Bullish Movement (green line): Measures the upward price movement weighted by volume. When price closes above the open, this component calculates how much buying pressure exists by multiplying the price change (close - open) by the volume of that period.
Bearish Movement (red line): Measures the downward price movement weighted by volume. When price closes below the open, this component calculates how much selling pressure exists by multiplying the price change (open - close) by the volume of that period.
Bull-Bear Difference (lime/orange line): Shows the net momentum by subtracting bearish movement from bullish movement, providing an at-a-glance view of which force is dominant.
The VWPM integrates volume data to identify whether price movements are backed by significant participation. A large price move with low volume carries less weight than the same move with high volume, providing a more accurate reflection of market strength.
A shorter lookback period makes the indicator more responsive to recent price action, while a longer period smooths out market noise for trend identification.
Interpretation
Bullish Signals
When the green line (bull movement) rises and stays above the red line
When the Bull-Bear Difference line crosses above zero and maintains positive momentum
Divergence between price making lower lows but the bull line making higher lows (hidden strength)
Bearish Signals
When the red line (bear movement) rises and stays above the green line
When the Bull-Bear Difference line crosses below zero and maintains negative momentum
Divergence between price making higher highs but the bull line making lower highs (hidden weakness)
open source, if anyone makes the script better please let me know :)
Dynamic and ATR Supertrend**Dynamic and ATR Supertrend Indicator**
The Dynamic and ATR Supertrend indicator is a powerful tool for traders who want to identify trends and make informed decisions about their investments. This indicator combines the benefits of the Supertrend indicator with the dynamic multiplier adjustment and ATR (Average True Range) calculation to provide a more accurate and reliable trend identification system.
**Key Features:**
* **Dynamic Multiplier Adjustment:** The indicator uses a dynamic multiplier adjustment to adapt to changing market conditions. This ensures that the indicator remains sensitive to trend changes and provides accurate signals.
* **ATR Calculation:** The indicator uses the ATR (Average True Range) calculation to determine the volatility of the market. This helps to identify the optimal multiplier value for the Supertrend calculation.
* **Supertrend Calculation:** The indicator uses the Supertrend calculation to identify trends and provide buy and sell signals.
* **Higher Timeframe Analysis:** The indicator allows for higher timeframe analysis, which enables traders to identify trends and make decisions based on a broader market perspective.
* **Alert System:** The indicator includes an alert system that notifies traders of trend changes and price crosses, allowing them to make timely and informed decisions.
**How it Works:**
1. The indicator calculates the ATR (Average True Range) of the market to determine the volatility.
2. The indicator uses the dynamic multiplier adjustment to adapt to changing market conditions.
3. The indicator calculates the Supertrend value using the ATR and dynamic multiplier.
4. The indicator identifies trends and provides buy and sell signals based on the Supertrend value.
5. The indicator includes an alert system that notifies traders of trend changes and price crosses.
**Benefits:**
* **Improved Trend Identification:** The indicator provides a more accurate and reliable trend identification system, allowing traders to make informed decisions.
* **Adaptability:** The indicator adapts to changing market conditions, ensuring that it remains sensitive to trend changes and provides accurate signals.
* **Flexibility:** The indicator allows for higher timeframe analysis, enabling traders to identify trends and make decisions based on a broader market perspective.
* **Alert System:** The indicator includes an alert system that notifies traders of trend changes and price crosses, allowing them to make timely and informed decisions.
**Conclusion:**
The Dynamic and ATR Supertrend indicator is a powerful tool for traders who want to identify trends and make informed decisions about their investments. With its dynamic multiplier adjustment, ATR calculation, and Supertrend calculation, this indicator provides a more accurate and reliable trend identification system. The indicator's adaptability, flexibility, and alert system make it an essential tool for traders who want to stay ahead of the market and make profitable trades.
P1 & P2 Helper by Brighter DataThis script draws the current high & low on the chart for multiple timeframes in P1/P2 format: P1 is either the highest or lowest point of the timeframe, whichever came first. P2 is whichever came second.
For example, on the daily timeframe if the daily low is marked out as P1 and the daily high is P2, it means that the daily low was put in before the daily high. This mapping of highs/lows is used as support for the BD dashboard and its statistics.
muraThis indicator is based on moving averages over a certain period using Fibonacci numbers. Pivot points are provided for active trading, which help to trade from the levels.
The indicator takes into account the trend direction, identifies key levels and possible targets.
You can also easily set up notifications for trend changes and receive them in the tradingview app or as an audio signal on your computer. This will help you not to miss anything in the market.
The moving averages with a uniquely recognized trend. 6 moving averages create 3 important trends. The first trend is local from your time frame, the second is global from your time frame and the third trend is predicated for tracking the global trend on an older time frame.
I have identified ways to trade my indicator:
- On a 4-hour time frame you can open trades in one direction with a change in the global trend. That is, if the red trend changes to green, it is time to open longs and vice versa.
- The global trend works best when paired with the local trend. That is, if the global trend is green, we wait until the local trend becomes green and then open longs, as well as in the opposite direction.
- Opening positions when the local trend changes towards the global trend also works well on a 12 hour time frame.
This indicator can be used on any timeframes from 1 minute to 1 year. You can also select levels for trading:
- intraday
- intra-week
- within a month
Note:
- Before you start trading, I strongly recommend you to do your own analysis on your own time frame or pairs
- Recommended for use with additional technical analysis tools
Support and Resistance Power Channel [ChartPrime]The Support and Resistance Power Channel indicator helps traders visualize key support and resistance zones, along with buy and sell power within those zones. By identifying the highest and lowest prices within a defined range, this indicator provides insight into potential price reversals and market strength. It calculates the strength of buy and sell pressure within the zones and includes additional features like midline values and delayed signals to reduce false breakouts.
⯁ KEY FEATURES AND HOW TO USE
⯌ Support and Resistance Zones :
This indicator identifies dynamic support (lower zone) and resistance (upper zone) levels, allowing traders to easily visualize key price levels. These zones are customizable with settings for the length of the channel and how far the zones extend into the future. The zones can be used to predict areas of potential price reversal or consolidation.
⯌ Buy and Sell Power :
Within the upper resistance zone, the indicator calculates Sell Power based on the number of bearish candles, while the lower support zone calculates Buy Power based on bullish candles. This feature helps traders understand the strength of buying or selling activity within each zone.
Example of buy and sell power tracking:
⯌ Highest, Lowest, and Mid Price Levels :
The indicator marks the highest and lowest price levels within the channel with an "X," and displays these values at the end of the channel. Additionally, the midline (average of the high and low) is plotted with a dotted line, showing a key area that the price often retests during trends.
⯌ Delayed Signal Markers :
To prevent false breakouts, the indicator includes a 2-bar delay for signals. These signals are plotted when the price crosses above or below the resistance or support zones, confirming potential reversals or breakouts. Arrows or diamonds are used to mark these signals on the chart.
Example of delayed breakout signals on the chart:
⯌ Extend Zones into the Future :
In the settings, traders can extend the support and resistance zones further into the future, allowing for ongoing analysis even after the initial levels have been identified. This feature can help with forward-looking trade planning.
⯁ USER INPUTS
Length : Defines the number of bars used to calculate the support and resistance zones.
Extend : Sets how far the support and resistance zones should be extended into the future.
Top and Bottom Colors : Allows customization of the colors for the support and resistance zones.
⯁ CONCLUSION
The Support and Resistance Power Channel indicator provides a powerful and visually intuitive way to track key market levels, buy and sell pressure, and potential reversals. With its real-time zone plotting and the calculation of power within each zone, it offers traders essential insights for making more informed trading decisions.
Interest Zones | @CRYPTOKAZANCEVEnglish Description.
🧠 What This Script Does
This script automatically detects price interest zones — areas where the price repeatedly reacts by forming local swing highs or lows , suggesting heightened supply/demand or market attention. It uses a custom volatility-adjusted range (pseudo-ATR) to dynamically group significant swing points and highlights these zones visually on the chart.
The script is not a mashup or copy of built-in indicators. It’s an original implementation that performs a meaningful calculation based on market structure and volatility to help traders identify important price areas.
⚙️ How It Works
1. Swing Point Detection:
The script identifies swing highs and lows using a configurable lookback window.
2. Zone Candidate Evaluation:
Each swing is checked against a custom zone width (based on ATR and your multiplier). If multiple swings fall within this range, it’s marked as a potential zone.
3. Filtering:
The script keeps only those zones that:
• Contain at least a user-defined number of swing points.
• Do not overlap with stronger (higher swing count) zones.
4. Visualization:
• The strongest zones are drawn as semi-transparent boxes.
• Zones are limited by time (last X candles).
• Optional: Swing highs/lows can be shown on chart.
📊 How to Use
• Use it on any timeframe or asset to identify price regions of interest.
• Combine with volume, trend, or candlestick analysis for entries/exits.
• The number of touches (swing points in a zone) gives insight into zone significance.
This tool is particularly useful for identifying support/resistance areas based on actual price structure rather than arbitrary levels.
🔧 Settings
• Swing Lookback Period: Controls how many candles on each side of a pivot the script checks to detect a local high/low.
• Zone Width Multiplier: Adjusts the volatility-based range. Larger values create wider zones.
• Min Swing Count: Zones with fewer swing points than this won't be shown.
• Max Zones Displayed: Limits the number of zones shown on screen.
• Max Candles for Analysis: Old swing points beyond this range are ignored.
📌 Notes
• No third-party code or mashups used.
• This is a standalone implementation of a concept similar to market structure mapping, tailored to be dynamic and responsive to volatility.
• Ideal for traders who prefer clean, price-action-based analysis.
🇷🇺 Русское описание
🧠 Что делает этот индикатор:
Индикатор автоматически определяет зоны интереса цены — области, где цена многократно формирует локальные максимумы или минимумы (свинги) . Эти зоны могут сигнализировать о повышенном внимании рынка, предложении или спросе. Скрипт использует псевдо-ATR (волатильность на основе среднего диапазона), чтобы динамически определять такие области и выделяет их на графике.
Это не копия стандартных индикаторов и не микс чужих скриптов — это оригинальная разработка , полезная для всех, кто ищет автоматическую разметку важных ценовых уровней.
⚙️ Как работает индикатор
1. Поиск свинг-точек:
Определяются локальные экстремумы с учетом указанного периода.
2. Формирование кандидатов в зоны:
Каждая свинг-точка проверяется, есть ли в её диапазоне другие свинги. Если таких достаточно — зона считается потенциальной.
3. Фильтрация зон:
• Учитываются только зоны с минимумом заданных свингов.
• Перекрывающиеся зоны удаляются в пользу более значимых.
4. Визуализация:
• Отображаются зоны с наибольшим числом касаний.
• Зоны ограничиваются последними X свечами.
• При желании можно отобразить сами свинг-точки.
📊 Как использовать
• Работает на любом таймфрейме и инструменте.
• Используйте совместно с объёмами, трендом или свечным анализом.
• Количество касаний помогает оценить важность зоны.
Полезен тем, кто предпочитает анализ на основе структуры цены, а не произвольных уровней.
🔧 Настройки
• Период свингов: Сколько свечей учитывается по бокам для поиска экстремумов.
• Множитель зоны: Увеличивает диапазон зоны на основе волатильности.
• Мин. количество свингов: Минимум точек в зоне для её отображения.
• Макс. зон на графике: Ограничение по количеству отображаемых зон.
• Макс. свечей анализа: Старые точки за пределами не учитываются.
📌 Примечания
• Не содержит чужих индикаторов или шаблонов.
• Самостоятельная реализация механизма анализа структуры рынка.
BS with PeriodThe “BS with Period” indicator visualizes the balance between buying and selling volume within each candle, and also tracks those volumes accumulated over a specified number of bars.
It first splits a candle’s total volume into two parts based on where the close sits: the closer the close is to the high, the larger the “buying” portion; the closer it is to the low, the larger the “selling” portion. This means that for any given volume you can see whether buyers or sellers were more active.
On the chart you see three column plots:
Gray for total volume
Red for the portion attributed to selling
Teal for the portion attributed to buying
Optionally, it also sums those buying and selling volumes over the last N bars and plots them as two lines. This gives you a medium-term view of which side is dominating: if the buying-volume line stays well above the selling-volume line, buyers are in control, and vice versa.
Traders use it to:
Spot sustained buying or selling pressure when one accumulated-volume line pulls ahead of the other.
Confirm trend accelerations or potential reversals when the balance shifts.
Adjust sensitivity by choosing a shorter period (more responsive, but noisier) or a longer period (smoother, but slower).
Overall, the indicator helps quantify the internal volume structure and the tug-of-war between buyers and sellers both within each candle and over your chosen look-back period.
[blackcat] L1 Multi-Component CCIOVERVIEW
The " L1 Multi-Component CCI" is a sophisticated technical indicator designed to analyze market trends and momentum using multiple components of the Commodity Channel Index (CCI). This script calculates and combines various CCI-related metrics to provide a comprehensive view of price action, offering traders deeper insights into market dynamics. By integrating smoothed deviations, normalized ranges, and standard CCI values, this tool aims to enhance decision-making processes. It is particularly useful for identifying potential reversal points and confirming trend strength. 📈
FEATURES
Multi-Component CCI Calculation: Combines smoothed deviation, normalized range, percent above low, and standard CCI for a holistic analysis, providing a multifaceted view of market conditions.
Threshold Lines: Overbought (200), oversold (-200), bullish (100), and bearish (-100) thresholds are plotted for easy reference, helping traders quickly identify extreme market conditions.
Visual Indicators: Each component is plotted with distinct colors and line styles for clear differentiation, making it easier to interpret the data at a glance.
Customizable Alerts: The script includes commented-out buy and sell signal logic that can be enabled for automated trading notifications, allowing traders to set up alerts based on specific conditions. 🚀
Advanced Calculations: Utilizes a combination of simple moving averages (SMA) and exponential moving averages (EMA) to smooth out price data, enhancing the reliability of the indicator.
HOW TO USE
Apply the Script: Add the script to your chart on TradingView by searching for " L1 Multi-Component CCI" in the indicators section.
Observe the Plotted Lines: Pay close attention to the smoothed deviation, normalized range, percent above low, and standard CCI lines to identify potential overbought or oversold conditions.
Use Threshold Levels: Refer to the overbought, oversold, bullish, and bearish threshold lines to gauge extreme market conditions and potential reversal points.
Confirm Trends: Use the standard CCI line to confirm trend direction and momentum shifts, providing additional confirmation for your trading decisions.
Enable Alerts: If desired, uncomment the buy and sell signal logic to receive automated alerts when specific conditions are met, helping you stay informed even when not actively monitoring the chart. ⚠️
LIMITATIONS
Fixed Threshold Levels: The script uses fixed threshold levels (200, -200, 100, -100), which may need adjustment based on specific market conditions or asset volatility.
No Default Signals: The buy and sell signal logic is currently commented out, requiring manual activation if you wish to use automated alerts.
Complexity: The multi-component approach, while powerful, may be complex for novice traders to interpret, requiring a solid understanding of technical analysis concepts. 📉
Not for Isolation Use: This indicator is not designed for use in isolation; it is recommended to combine it with other tools and indicators for confirmation and a more robust analysis.
NOTES
Smoothing Techniques: The script uses a combination of simple moving averages (SMA) and exponential moving averages (EMA) for smoothing calculations, which helps in reducing noise and enhancing signal clarity.
Multi-Component Approach: The multi-component approach aims to provide a more nuanced view of market conditions compared to traditional CCI, offering a more comprehensive analysis.
Customization Potential: Traders can customize the script further by adjusting the parameters of the moving averages and other components to better suit their trading style and preferences. ✨
THANKS
Thanks to the TradingView community for their support and feedback on this script! Special thanks to those who contributed ideas and improvements, making this tool more robust and user-friendly. 🙏
Triple Stochastic Confluence by AtallaTriple Stochastic Confluence by Atalla - Indicator Summary
Overview
The "Triple Stochastic Confluence by Atalla" is a technical indicator for TradingView that identifies potential trading opportunities using the confluence of three Stochastic oscillators with different timeframes. The indicator focuses exclusively on the %D lines (signal lines) of the Stochastics.
Key Components
Three Stochastic Oscillators
Short-term Stochastic: Period 9, %K Smoothing 1, %D Period 3
Medium-term Stochastic: Period 14, %K Smoothing 1, %D Period 3
Long-term Stochastic: Period 60, %K Smoothing 1, %D Period 10
Visual Display
White lines for the first two Stochastics (%D lines)
Yellow line for the third (long-term) Stochastic (%D line)
Background color changes to highlight trading opportunities:
Yellow background: Bullish signal
Red background: Bearish signal
Trading Signals Logic
Bullish Signal (Yellow Background)
A bullish signal occurs when any Stochastic %D line is in the oversold zone (≤25%) while at least one of the other %D lines is in the overbought zone (≥75%).
Bearish Signal (Red Background)
A bearish signal occurs when any Stochastic %D line is in the overbought zone (≥75%) while at least one of the other %D lines is in the oversold zone (≤25%).
Configurable Parameters
Stochastic periods and smoothing values
Overbought level (default: 75%)
Oversold level (default: 25%)
Alert Conditions
The indicator includes alert conditions for both bullish and bearish confluence signals, allowing users to set up automated notifications for trading opportunities.
Trading Philosophy
This indicator leverages the concept of momentum divergence across different timeframes. When oscillators at different timeframes show opposing extreme readings (one in oversold and another in overbought), it may indicate a potential reversal point in the market. The indicator's strength lies in identifying these confluences automatically and providing clear visual signals.
[blackcat] L2 Angle Trend TrackerOVERVIEW
The " L2 Angle Trend Tracker" is a sophisticated technical analysis tool designed to monitor trend direction and momentum using multiple Exponential Moving Averages (EMAs) with different periods. 📈 This script calculates the angles of 5 EMAs (5, 8, 10, 12, and 15 periods) and displays them with gradient colors, providing a comprehensive view of market momentum. When all EMAs cross above or below specified threshold levels, it generates Buy or Sell signals with visual alerts. The indicator helps traders identify trend reversals, potential entry/exit points, and market sentiment shifts with precision. 🚀 This powerful tool is particularly useful for traders who want to combine multiple timeframe analysis with angle-based momentum confirmation.
FEATURES
Calculates angles for 5 EMAs with customizable periods (5, 8, 10, 12, and 15)
Displays angle values with distinct colors for each EMA (Green, Blue, Purple, Orange, and Red)
Generates Buy signals when all EMAs cross above the lower threshold
Generates Sell signals when all EMAs cross below the upper threshold
Shows a zero line and threshold lines for easy reference
Customizable threshold levels for Buy/Sell signals
Visual alerts with "Buy" and "Sell" labels at the point of signal generation
The script uses a mathematical formula to calculate the angle of each EMA relative to its position 11 bars ago
Angle values are converted from radians to degrees for easier interpretation
The zero line represents no change in the EMA angle
The indicator is not overlayed on the price chart by default, but can be adjusted in the script settings 📊
HOW TO USE
Adjust the EMA periods to match your trading strategy 🛠️
Shorter periods (5, 8) are more sensitive to price changes
Longer periods (10, 12, 15) provide smoother trend confirmation
Set appropriate threshold values for Buy/Sell signals based on your risk tolerance
Default thresholds are 70 for upper threshold and -70 for lower threshold
Consider adjusting thresholds based on market volatility
Watch for Buy signals when all EMAs cross above the lower threshold (default: -70)
The signal appears as a green "Buy" label on the chart
This indicates a potential trend reversal to the upside
Watch for Sell signals when all EMAs cross below the upper threshold (default: 70)
The signal appears as a red "Sell" label on the chart
This indicates a potential trend reversal to the downside
Combine with other indicators for confirmation before making trading decisions 🧠
Consider using volume confirmation, support/resistance levels, or other oscillators
The angle tracker works well with trend-following strategies
Use the angle values to gauge momentum strength
Steeper angles indicate stronger momentum
Flatter angles suggest weakening momentum or consolidation
CONFIGURATION
EMA Periods: The script uses five different EMA periods that can be customized:
EMA Period 5: Short-term trend indicator
EMA Period 8: Medium-short term trend indicator
EMA Period 10: Medium-term trend indicator
EMA Period 12: Medium-long term trend indicator
EMA Period 15: Long-term trend indicator
Threshold Settings:
Threshold Top: Sets the upper boundary for Sell signals (default: 70)
Threshold Bot: Sets the lower boundary for Buy signals (default: -70)
These thresholds can be adjusted based on market conditions and trading style
LIMITATIONS
The script may generate false signals in ranging markets or during periods of high volatility
All EMAs must cross the threshold for a signal to appear, which may filter some valid signals
The angle calculation uses a 11-bar lookback period, which may not be suitable for all timeframes
Works best in trending markets and may produce whipsaws in choppy conditions ⚠️
The indicator is more effective on higher timeframes (4H, 1D) than on very short timeframes (1M, 5M)
Signal generation requires confirmation from multiple EMAs, which may delay entry/exit points
The angle calculation method may not be suitable for all financial instruments
ADVANCED TIPS
Use multiple instances of this indicator with different EMA settings for multi-timeframe analysis
Combine with volume analysis to confirm the strength of signals
Look for confluence with support and resistance levels for more reliable signals
Consider using the angle values as a filter for other trading strategies
The indicator can be used to identify momentum exhaustion points when angles flatten
For swing trading, consider using the Buy and Sell signals as potential entry/exit points
For day trading, you may want to use shorter EMA periods and adjust threshold values accordingly
NOTES
The script uses a mathematical formula to calculate the angle of each EMA relative to its position 11 bars ago
The angle values are converted from radians to degrees for easier interpretation
The zero line represents no change in the EMA angle
The indicator is not overlayed on the price chart by default, but can be adjusted in the script settings 📊
The angle calculation provides a dynamic view of momentum that traditional moving averages don't offer
The threshold values are based on empirical testing and can be fine-tuned for specific instruments
THANKS
Special thanks to the TradingView community for their support and feedback on this indicator. If you find this script helpful, please consider leaving a comment or sharing your experiences with it. Your feedback helps improve the tool for everyone. 🙏
Also, a nod to the original concept developers who pioneered angle-based trend analysis. This script builds upon those foundational ideas to provide a more comprehensive view of market momentum. 🌟
Trend Finder Using Pull Back Method {Darkoexe}This indicator predicts trends using pull backs structure to predict the trend direction. It builds off the flag pattern concept but it uses precise precise measurements to determine trend direction.
A pull back occurs every time the price direction switches then closes either below or above the open of the previous candle depending on the type of pull back, bullish or bearish.
For an up trend to be a defined, when a bullish pull back occurs and does not go below the previous low, if the price then passes above the start of the pull back, an up trend signal will be printed. Only bullish pull backs will be displayed during an up trend.
For a down trend to be defined, when a bearish pull back occurs and does not go above the previous high, if the price then passes below the start of the pull back, a down trend signal will be printed. Only bearish pull backs will be displayed during a down trend.
If the conditions for an up trend or down trend are not met, no trend will be printed. Both bearish and bullish pull backs will be displayed during a no trend.
All the labels colors can be changed.
//Darkoexe
Trend Finder {Darkoexe}This indicator displays the end and start of trends using an ATR factor.
The ATR with trend factor is used to determine the minimum length for a trend to be considered a trend.
The ATR against trend factor is used to determine the minimum length price needs to move against a trend for it to break the trend.
The ATR factors are multiplied with the ATR to determine these lengths.
The labels indicate the starts and ends of trends;
The green label indicates the start of an up trend.
The red label indicates the start of a down trend.
The black/gray label indicates the start of a trend and the end of another trend at the same location.
The purple/pink label indicates the end of a trend.
All the label colors can be changed.
IMPORTANT NOTE: This is a repainting indicator, it should only be used to back test and analyze previous trends. Do not use this indicator for live trading.
Sunday OpenSunday Open – Weekly Open Levels
Description
The "Sunday Open" indicator automatically displays the market open levels for Sunday. These levels are often used by traders as potential support and resistance zones. The script requires no manual data input and works on any timeframe.
Functionality
- Displays the N most recent Sunday Open levels, including the current and previous ones.
- The color of the current level differs from the older ones, making it easier to identify on the chart.
- Lines can be customized by style, thickness, and label visibility.
- Alerts are triggered when the price crosses any Sunday Open level (either up or down).
User Settings
- Number of levels to display (1–100)
- Color for the current and past levels
- Line style: solid, dashed, dotted
Line thickness
- Display text labels on the chart
- Enable/disable alerts for price crossing
Useful For
- Quickly identifying key reference points at the beginning of the week
- Setting up trading scenarios around the open zone
- Receiving signals for breakouts or touches of the levels
Important !
All elements are created automatically—no manual drawing required.
If you want to create alerts for when the price crosses a Sunday Open level, you need to go to "Alerts" at the top of the screen and select "SO" in the "Condition" field.
RESHAIndicator Name: RESHA – Static Price Levels
Description:
The RESHA indicator is a simple tool that allows traders to manually define multiple horizontal price levels on the chart. These levels are displayed as horizontal lines, each extending a customizable number of candles forward. Traders can input a comma-separated list of prices, which are then plotted automatically on the chart.
Features:
📍 Custom input box for price levels (comma-separated).
📏 Adjustable line length in bars.
Visual price labels at the end of each level.
Clean and minimalistic design, perfect for support/resistance zones or static analysis.
This tool is ideal for traders who want to keep key price zones visible at all times without relying on dynamic calculations or automated indicators.
Killzones (UTC+3) by Roy⏰ Time-Based Division – Trading Quarters:
The trading day is divided into four main quarters, each reflecting distinct market behaviours:
Opo Finance Blog
Quarter Time (Israel Time) Description
Q1 16:30–18:30 Wall Street opening; highest volatility.
Q2 18:30–20:30 Continuation or correction of the opening move.
Q3 20:30–22:30 Quieter market; often characterized by consolidation.
Q4 22:30–24:00 Preparation for market close; potential breakouts or sharp movements.
This framework assists traders in anticipating market dynamics within each quarter, enhancing decision-making by aligning strategies with typical intraday patterns.
Moving Average Price Deviation Spread
**Moving Average Price Deviation Spread (MA Dev)**
This indicator visualizes the deviation of price from its exponential moving average (EMA) and scales it within dynamic upper and lower bounds. The core logic measures the smoothed spread between price and EMA, then calculates standard deviation over a rolling window to define statistical thresholds.
* **Spread**: EMA of (Close - EMA), highlighting directional bias.
* **Upper/Lower Bounds**: EMA of ±1.96 \* standard deviation of the spread, framing high/low deviation zones.
* **Use Case**: Spot overextended conditions, mean reversion setups, or volatility-driven breakouts. Ideal for timing entries and exits around price extremes.
