Dynamic 5-Day Moving AverageThe Dynamic 5-Day Moving Average (MA) indicator is designed to provide traders with a consistent, time-adjusted moving average line across various timeframes. This indicator is especially useful for traders who switch between multiple timeframes and want a moving average that represents a fixed 5-day period, ensuring that the MA reflects a consistent lookback period relative to the amount of trading time each candle represents.
Features:
Timeframe Adaptability: Automatically adjusts the MA period to correspond to a 5-day lookback, regardless of the selected timeframe.
Intraday Precision: For intraday charts (5m, 15m, 30m, 1h, 2h, 4h), the indicator calculates the number of periods within the 5-day span based on the chart's timeframe.
Daily and Weekly Timeframe Compatibility: Sets the period to 5 for daily charts to maintain the 5-day MA, and to 1 for weekly charts, where each candlestick represents a week's worth of trading days.
Calculation Logic:
The indicator begins by defining the total number of trading minutes in 5 days, based on a standard 6.5-hour trading day.
A dynamic period calculation function then determines the number of those intervals that fit into the 5-day minute total for the selected timeframe.
For daily charts, the period is a straightforward 5, while for weekly charts, the period is set to 1, reflecting the average of the past 5 trading days.
Cari skrip untuk "charts"
[SMT] Buy & Sell Renko Based - AlertsThis is a custom indicator that implements a trading strategy based on Renko charts, but they can be used on regular candlestick charts and on any time frame. Renko charts are known for filtering market noise and displaying price movements in a clearer way. However, it is important to note that this indicator is provided for educational and informational purposes only and is not a guarantee of profitable returns.
Features:
- The indicator uses Renko charts to generate buy and sell signals.
- Renko bricks are built based on a predefined price variation, rather than time.
- The length of the Average True Range (ATR) used to calculate Renko bricks can be customized.
- Buy signals are generated when the price crosses below the current Renko brick.
- Sell signals are generated when the price crosses above the current Renko brick.
- Entry points are marked with "Buy" and "Sell" arrows on the chart.
It is essential to emphasize that no indicator or trading strategy guarantees profitable results. The financial market is complex and subject to unpredictable changes. It is recommended to perform additional tests and analysis before using this indicator on a real trading account.
Always remember to manage your risks properly and consider other factors such as fundamental analysis and market conditions when making trading decisions. The use of this indicator is entirely the user's responsibility.
DISCLAIMER: This indicator is not financial advice and should not be interpreted as such. Always consult with a qualified financial professional before making any investment decisions.
[SMT] Buy & Sell Renko Based - StrategyThis is a custom indicator that implements a trading strategy based on Renko charts, but they can be used on regular candlestick charts and on any time frame. Renko charts are known for filtering market noise and displaying price movements in a clearer way. However, it is important to note that this indicator is provided for educational and informational purposes only and is not a guarantee of profitable returns.
Features:
- The indicator uses Renko charts to generate buy and sell signals.
- Renko bricks are built based on a predefined price variation, rather than time.
- The length of the Average True Range (ATR) used to calculate Renko bricks can be customized.
- Buy signals are generated when the price crosses below the current Renko brick.
- Sell signals are generated when the price crosses above the current Renko brick.
- Entry points are marked with "Buy" and "Sell" arrows on the chart.
It is essential to emphasize that no indicator or trading strategy guarantees profitable results. The financial market is complex and subject to unpredictable changes. It is recommended to perform additional tests and analysis before using this indicator on a real trading account.
Always remember to manage your risks properly and consider other factors such as fundamental analysis and market conditions when making trading decisions. The use of this indicator is entirely the user's responsibility.
DISCLAIMER: This indicator is not financial advice and should not be interpreted as such. Always consult with a qualified financial professional before making any investment decisions.
Volume composition / quantifytools— Overview
While net volume is useful information, it can be a blunt data point. Volume composition breaks down the content of volume, allowing a more detailed look inside each volume node. Volume composition consists of the following information:
Total volume (buy and sell). By default gray node.
Dominating volume (buy or sell). By default dark green/dark red node.
Dominating active volume (buy or sell). By default light green/light red node.
Dominating volume as percentage of total volume.
Dominating active volume as percentage of total active volume.
Buy and sell volume is defined by volume associated with lower timeframe up/down moves. This classification is further broken down to passive/active, standing for decreasing/increasing volume, e.g. a move up with volume higher than previous bar volume = active buy volume, a move up with volume lower than previous bar volume = passive buy volume.
Volume data is fetched from a lower timeframe that is automatically adjusted to fit the timeframe you're using. By default, the following settings are applied:
Charts <= 30 min: 1 minute timeframe
Charts > 30 min & <= 3 hours : 5 minute timeframe
Charts > 3 hours & <= 8 hours : 15 minute timeframe
Charts > 8 hours & <= 1D: 1 hour timeframe
Charts > 1D & <= 3D : 2 hour timeframe
Charts > 3D: 4 hour timeframe
Timeframe settings can be changed via input menu. The lower the timeframe, the more precision you get but with the cost of less historical data and slower loading time. Users can also choose which source to use for determining buy/sell volume, e.g. using close as source, a close that is higher than previous close would be considered as buy volume. This could be replaced with OHLC4 for example, resulting in a volume direction based on OHLC average.
Volume composition of current chart can also be replaced with any other chart volume composition:
— Visuals
Breakdown of visual elements:
1. Symbol and timeframe used for volume composition calculations. By default the chart that is viewed and automatically selected lower timeframe.
2. Dominating volume threshold exceeded. Can be defined via input menu, 70% of total volume by default.
3. Dominating volume as percentage of total volume. Plotted below volume nodes, without % symbol.
4. Dominating active volume, + or - symbol, standing for buy and sell. Plotted below dominating volume percentage. When dominating volume and dominating active volume sides are in a disagreement (e.g. dominating volume is on buy side while dominating active volume is on sell side) this symbol will appear inside brackets, (+) or (-).
5. Dominating active volume as percentage of total active volume. Plotted below +/- symbol.
6. Dominating active volume threshold exceeded. Can be defined via input menu, 70% by default.
Dominating volume & active volume percentages can be rounded to single numbers to avoid clutter caused by overlapping values. The percentage values will be rounded to closest single number value, e.g. dominating volume percentage at 54% = 5, dominating volume percentage at 55% = 6.
Volume anomalies can be highlighted on the chart with a color for studying the events and their past implications in greater detail. Available anomalies for highlights are the following:
Buy volume threshold exceeded
Sell volume threshold exceeded
Active buy volume threshold exceeded
Active sell volume threshold exceeded
Volume & active volume divergence
— Practical guide
Volume is arguably one of the most important data points as it directly relates to liquidity. High volume can be an indication of strength (price likely to continue moving) or absorption (price likely to halt/turn). Same applies to active volume, but with an element of aggression. High active volume serves as an indication of exuberance or otherwise forceful transacting, like stop losses triggering. With these principles in mind, the composition of volume allows distinguishing potentially important events.
Example #1 : Identifying areas of trapped market participants
Often when volume spikes distinctively, we can make the case that price has found sufficient liquidity to halt/turn. Since we know which side was absorbed, in what quantity and type (passive/active), we can identify areas of trapped market participants. In such scenarios, the higher the dominant active volume and volume spike itself, the better.
Example #2 : Identifying a healthy trend
A healthy trend is one that has an active and consistent bid driving it. When this is the case, it can be seen in consistently supportive active volume.
Example #3 : Identifying inflection points
When dominant side of volume and dominant side of active volume diverge, something is up. A divergence often marks an area of indecision, hinting an imminent move one way or the other.
Time & volume point of control / quantifytoolsWhat are TPOC & VPOC?
TPOC (time point of control) and VPOC (volume point of control) are points in price where highest amount of time/volume was traded. This is considered key information in a market profile, as it shows where market participant interest was highest. Unlike full fledged market profile that shows total time/volume distribution, this script shows the points of control for each candle, plotted with a line (time) and a dot (volume). The script hides your candles/bars by default and forms a line in the middle representing candle range. In case of candles, borders will still be visible. This feature can be turned off in the settings.
Volume and time data are fetched from a lower timeframe that is automatically adjusted to fit the timeframe you're using. By default, the following settings are applied:
Charts <= 30 min: 1 minute timeframe
Charts > 30 min & <= 3 hours : 5 minute timeframe
Charts > 3 hours & <= 8 hours : 15 minute timeframe
Charts > 8 hours & <= 1D: 1 hour timeframe
Charts > 1D & <= 3D : 2 hour timeframe
Charts > 3D: 4 hour timeframe
Timeframe settings can be changed via input menu. The lower the timeframe, the more precision you get but with the cost of less historical data and slower loading time. Users can also choose which source to use for determining price for points of control, e.g. using close as source, the point of control is set to match the value of lower timeframe candle close. This could be replaced with OHLC4 for example, resulting in a point of control based on OHLC average.
To identify more profound points of market participant interest, TPOC & VPOC as percentage of total time/volume thresholds can be set via input menu. When a point of control is equal to or greater than the set percentage threshold, visual elements will be highlighted in a different color, e.g. 50% VPOC threshold will activate a highlight whenever volume traded at VPOC is equal to or greater than 50% of total volume. All colors are customizable.
VPOC is defined by fetching lower timeframe candle with the most amount of volume traded and using its close (by default) as a mark for point of control. For TPOC, each candle is divided into 10 lots which are used for calculating amount of closes taking place within the bracket values. The lot with highest amount of closes will be considered a point of control. This mark is displayed in the middle point of a lot:
How to utilize TPOC & VPOC
Example #1: Trapped market participants
One or both points of control at one end of candle range (wick tail) and candle close at the other end serves as an indication of market participants trapped in an awkward position. When price runs away further from these trapped participants, they are eventually forced to cover and drive price even further to the opposite direction:
Example #2: Trend initiation
A large move that leaves TPOC behind while VPOC is supportive serves as an indication of a trend initiation. Essentially, this is one way to identify an event where price traded sideways most of the time and suddenly moved away with volume:
Example #3: POC supported trend
A trend is healthy when it's supported by a point of control. Ideally you want to see either time or volume supporting a trend:
Last Available Bar InfoLibrary "Last_Available_Bar_Info"
getLastBarTimeStamp()
getAvailableBars()
This simple library is built with an aim of getting the last available bar information for the chart. This returns a constant value that doesn't change on bar change.
For backtesting with accurate results on non standard charts, it will be helpful. (Especially if you are using non standard charts like Renko Chart).
Methods
getLastBarTimeStamp()
: Returns Timestamp of the last available bar (Constant)
getAvailableBars()
:Returns Number of Available Bars on the chart (Constant)
Example
import paragjyoti2012/Last_Available_Bar_Info/v1 as LastBarInfo
last_bar_timestamp=LastBarInfo.getLastBarTimeStamp()
no_of_bars=LastBarInfo.getAvailableBars()
If you are using Renko Charts, for backtesting, it's necesary to filter out the historical bars that are not of this timeframe.
In Renko charts, once the available bars of the current timeframe (based on your Tradingview active plan) are exhausted,
previous bars are filled in with historical bars of higher timeframe. Which is detrimental for backtesting, and it leads to unrealistic results.
To get the actual number of bars available of that timeframe, you should use this security function to get the timestamp for the last (real) bar available.
tf=timeframe.period
real_available_bars = request.security(syminfo.ticker, tf , LastBarInfo.getAvailableBars() , lookahead = barmerge.lookahead_off)
last_available_bar_timestamp = request.security(syminfo.ticker, tf , LastBarInfo.getLastBarTimeStamp() , lookahead = barmerge.lookahead_off)
Relative Volume at Time█ OVERVIEW
This indicator calculates relative volume, which is the ratio of present volume over an average of past volume.
It offers two calculation modes, both using a time reference as an anchor.
█ CONCEPTS
Calculation modes
The simplest way to calculate relative volume is by using the ratio of a bar's volume over a simple moving average of the last n volume values.
This indicator uses one of two, more subtle ways to calculate both values of the relative volume ratio: current volume:past volume .
The two calculations modes are:
1 — Cumulate from Beginning of TF to Current Bar where:
current volume = the cumulative volume since the beginning of the timeframe unit, and
past volume = the mean of volume during that same relative period of time in the past n timeframe units.
2 — Point-to-Point Bars at Same Offset from Beginning of TF where:
current volume = the volume on a single chart bar, and
past volume = the mean of volume values from that same relative bar in time from the past n timeframe units.
Timeframe units
Timeframe units can be defined in three different ways:
1 — Using Auto-steps, where the timeframe unit automatically adjusts to the timeframe used on the chart:
— A 1 min timeframe unit will be used on 1sec charts,
— 1H will be used for charts at 1min and less,
— 1D will be used for other intraday chart timeframes,
— 1W will be used for 1D charts,
— 1M will be used for charts at less than 1M,
— 1Y will be used for charts at greater or equal than 1M.
2 — As a fixed timeframe that you define.
3 — By time of day (for intraday chart timeframes only), which you also define. If you use non-intraday chart timeframes in this mode, the indicator will switch to Auto-steps.
Relative Relativity
A relative volume value of 1.0 indicates that current volume is equal to the mean of past volume , but how can we determine what constitutes a high relative volume value?
The traditional way is to settle for an arbitrary threshold, with 2.0 often used to indicate that relative volume is worthy of attention.
We wanted to provide traders with a contextual method of calculating threshold values, so in addition to the conventional fixed threshold value,
this indicator includes two methods of calculating a threshold channel on past relative volume values:
1 — Using the standard deviation of relative volume over a fixed lookback.
2 — Using the highs/lows of relative volume over a variable lookback.
Channels calculated on relative volume provide meta-relativity, if you will, as they are relative values of relative volume.
█ FEATURES
Controls in the "Display" section of inputs determine what is visible in the indicator's pane. The next "Settings" section is where you configure the parameters used in the calculations. The "Column Coloring Conditions" section controls the color of the columns, which you will see in three of the five display modes available. Whether columns are plotted or not, the coloring conditions also determine when markers appear, if you have chosen to show the markers in the "Display" section. The presence of markers is what triggers the alerts configured on this indicator. Finally, the "Colors" section of inputs allows you to control the color of the indicator's visual components.
Display
Five display modes are available:
• Current Volume Columns : shows columns of current volume , with past volume displayed as an outlined column.
• Relative Volume Columns : shows relative volume as a column.
• Relative Volume Columns With Average : shows relative volume as a column, with the average of relative volume.
• Directional Relative Volume Average : shows a line calculated using the average of +/- values of relative volume.
The positive value of relative volume is used on up bars; its negative value on down bars.
• Relative Volume Average : shows the average of relative volume.
A Hull moving average is used to calculate the average used in the three last display modes.
You can also control the display of:
• The value or relative volume, when in the first three display modes. Only the last 500 values will be shown.
• Timeframe transitions, shown in the background.
• A reminder of the active timeframe unit, which appears to the right of the indicator's last bar.
• The threshold used, which can be a fixed value or a channel, as determined in the next "Settings" section of inputs.
• Up/Down markers, which appear on transitions of the color of the volume columns (determined by coloring conditions), which in turn control when alerts are triggered.
• Conditions of high volatility.
Settings
Use this section of inputs to change:
• Calculation mode : this is where you select one of this indicator's two calculation modes for current volume and past volume , as explained in the "Concepts" section.
• Past Volume Lookback in TF units : the quantity of timeframe units used in the calculation of past volume .
• Define Timeframes Units Using : the mode used to determine what one timeframe unit is. Note that when using a fixed timeframe, it must be higher than the chart's timeframe.
Also, note that time of day timeframe units only work on intraday chart timeframes.
• Threshold Mode : Five different modes can be selected:
— Fixed Value : You can define the value using the "Fixed Threshold" field below. The default value is 2.0.
— Standard Deviation Channel From Fixed Lookback : This is a channel calculated using the simple moving average of relative volume
(so not the Hull moving average used elsewhere in the indicator), plus/minus the standard deviation multiplied by a user-defined factor.
The lookback used is the value of the "Channel Lookback" field. Its default is 100.
— High/Low Channel From Beginning of TF : in this mode, the High/Low values reset at the beginning of each timeframe unit.
— High/Low Channel From Beginning of Past Volume Lookback : in this mode, the High/Low values start from the farthest point back where we are calculating past volume ,
which is determined by the combination of timeframe units and the "Past Volume Lookback in TF units" value.
— High/Low Channel From Fixed Lookback : In this mode the lookback is fixed. You can define the value using the "Channel Lookback" field. The default value is 100.
• Period of RelVol Moving Average : the period of the Hull moving average used in the "Directional Relative Volume Average" and the "Relative Volume Average".
• High Volatility is defined using fast and slow ATR periods, so this represents the volatility of price.
Volatility is considered to be high when the fast ATR value is greater than its slow value. Volatility can be used as a filter in the column coloring conditions.
Column Coloring Conditions
• Eight different conditions can be turned on or off to determine the color of the volume columns. All "ON" conditions must be met to determine a high/low state of relative volume,
or, in the case of directional relative volume, a bull/bear state.
• A volatility state can also be used to filter the conditions.
• When the coloring conditions and the filter do not allow for a high/low state to be determined, the neutral color is used.
• Transitions of the color of the volume columns determined by coloring conditions are used to plot the up/down markers, which in turn control when alerts are triggered.
Colors
• You can define your own colors for all of the oscillator's plots.
• The default colors will perform well on light or dark chart backgrounds.
Alerts
• An alert can be defined for the script. The alert will trigger whenever an up/down marker appears in the indicator's display.
The particular combination of coloring conditions and the display settings for up/down markers when you create the alert will determine which conditions trigger the alert.
After alerts are created, subsequent changes to the conditions controlling the display of markers will not affect existing alerts.
• By configuring the script's inputs in different ways before you create your alerts, you can create multiple, functionally distinct alerts from this script.
When creating multiple alerts, it is useful to include in the alert's message a reminder of the particular conditions you used for each alert.
• As is usually the case, alerts triggering "Once Per Bar Close" will prevent repainting.
Error messages
Error messages will appear at the end of the chart upon the following conditions:
• When the combination of the timeframe units used and the "Past Volume Lookback in TF units" value create a lookback that is greater than 5000 bars.
The lookback will then be recalculated to a value such that a runtime error does not occur.
• If the chart's timeframe is higher than the timeframe units. This error cannot occur when using Auto-steps to calculate timeframe units.
• If relative volume cannot be calculated, for example, when no volume data is available for the chart's symbol.
• When the threshold of relative volume is configured to be visible but the indicator's scale does not allow it to be visible (in "Current Volume Columns" display mode).
█ NOTES
For traders
The chart shown here uses the following display modes: "Current Volume Columns", "Relative Volume Columns With Average", "Directional Relative Volume Average" and "Relative Volume Average". The last one also shows the threshold channel in standard deviation mode, and the TF Unit reminder to the right, in red.
Volume, like price, is a value with a market-dependent scale. The only valid reference for volume being its past values, any improvement in the way past volume is calculated thus represents a potential opportunity to traders. Relative volume calculated as it is here can help traders extract useful information from markets in many circumstances, markets with cyclical volume such as Forex being one, obvious case. The relative nature of the values calculated by this indicator also make it a natural fit for cross-market and cross-sector analysis, or to identify behavioral changes in the different futures contracts of the same market. Relative volume can also be put to more exotic uses, such as in evaluating changes in the popularity of exchanges.
Relative volume alone has no directional bias. While higher relative volume values always indicate higher trading activity, that activity does not necessarily translate into significant price movement. In a tightly fought battle between buyers and sellers, you could theoretically have very large volume for many bars, with no change whatsoever in bid/ask prices. This of course, is unlikely to happen in reality, and so traders are justified in considering high relative volume values as indicating periods where more attention is required, because imbalances in the strength of buying/selling power during high-volume trading periods can amplify price variations, providing traders with the generally useful gift of volatility.
Be sure to give the "Directional Relative Volume Average" a try. Contrary to the always-positive ratio widely used in this indicator, the "Directional Relative Volume Average" produces a value able to determine a bullish/bearish bias for relative volume.
Note that realtime bars must be complete for the relative volume value to be confirmed. Values calculated on historical or elapsed realtime bars will not recalculate unless historical volume data changes.
Finally, as with all indicators using volume information, keep in mind that some exchanges/brokers supply different feeds for intraday and daily data, and the volume data on both feeds can sometimes vary quite a bit.
For coders
Our script was written using the PineCoders Coding Conventions for Pine .
The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication.
Bits and pieces of code were lifted from the MTF Selection Framework and the MTF Oscillator Framework , also by PineCoders.
█ THANKS
Thanks to dgtrd for suggesting to add the channel using standard deviation.
Thanks to adolgov for helpful suggestions on calculations and visuals.
Look first. Then leap.
Renko Dots [racer8]Description:
The idea behind this indicator is to have the Renko chart alongside with your main chart. What this indicator does is that it plots the values from the Renko Chart directly onto your main chart. So, you don't have to switch between Renko and OHLC charts anymore!
Parameters:
Renko Dots has to 2 parameters: Method & Length.
Method can be either Traditional or ATR. These are 2 different styles of Renko. Personally, I prefer ATR.
Length controls traditional Renko bar's fixed price range or controls the ATR period.
Signal Interpretation:
These Renko values are plotted as "Renko Dots" on your chart. The dots can be either green, red, or blue depending on market movements.
Green - new Renko bar (bullish)
Red - new Renko bar (bearish)
Blue - no new Renko bar (consolidation)
What is a Renko chart?
A Renko chart is a special chart that modifies a regular price chart's information about the close price and transforms it into Renko values that are plotted as Renko boxes on a chart. These boxes typically have a fixed range, say 10 pips for example. So if price moves at least 10 pips, a box is formed. Alternatively, the box's range can be set to the ATR....so in this case, each box represents a move of 1 ATR.
For more information on Renko charts, visit Investopedia.com, here's the link: www.investopedia.com
Renko Dots' advantages over standard Renko chart:
- Can compare & apply it to other price charts (ohlc, candlesticks, line charts)
- Can apply it to other modified price charts (Heikin-Ashi, Renko, Line-Break)
- Can use it to trade alongside with the main chart
- Works across all instruments/markets and all time frames
- Plots consolidation (blue dots) ... (standard Renko doesn't consider time)
Enjoy :)
Detect Sequential Trading - Bot DetectorDetect Sequential Trading - Bot Detector.
This tool requires access to volume data .
There are many trading bots out there, that trade 24/7 .
The detector can be used to understand how the bots are configured - to push the market up or down .
Alerts can be set to fire whenever a bot pattern is detected .
They must be configured to run Once per Bar .
It works well with range charts (1R) .
It would work best on 1 second charts or tick charts (currently, TradingView's alert system doesn't work with second charts).
The alternative would be 1 minute charts .
It can be used on higher timeframes but may be less effective.
Seasonality ForecasterThe Seasonaliity Forcaster indicator takes advantage of the seasonality of the price to create a forecast of how the price could go in the coming days.
It is calculated on the DAILY chart that contains about 260 days of market and I recommend using it on that chart.
In the properties under " Style " you can turn on or off the chart of what made the price 1, 2, 3, 4, 5 years ago or the average of the last 5, 7 or 10 years (if there are enough data).
Under " Input " you can decide the offsets of the various charts, or horizontally align the various charts to find the most similar configuration to what the price has done, so as to understand if the price is following the seasonality of a few years in particular, the vertical alignment is a decimal number that allows you to raise or lower the chart in percentage to better align it with the price.
How to use it:
1) under "Properties" --> "Style" deselect all the last years charts and leave just the actual price.
2) select just the last year chart.
3) under input you have the parameters to change to align the last year chart on the actual price chart, the indicator by default show the forecast 100 bars,
align the horizontal offset and the vertical alignment to put the 2 charts together, you have to find the macro trend, not the micro, of the last 5 - 6 months.
4) repeat it with another chart, for example 2 years ago
5) then repeat it with all the charts, if there are no macro trend as the actual price deselect the chart
6) when you find a good overlap look for the candle chart to find a good level to enter.
That's it that's all.
Relative Strength of 2 securities - Jayy This is an update of the Relative Strength to index as used by Leaf_West.. 4th from the top. my original RS script is 3rd from the top.
In this use of the term " Relative Strength" (RS) what is meant is a ratio of one security to another.
The RS can be inerpreted in a fashion similar to price action on a regual security chart.
If you follow his methods be aware of the different moving averages for the different time periods.
From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and
an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an
8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line.
For daily or 130-minute time periods (or shorter), my R/S charts are slightly different
- the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and
an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly
charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)."
Leaf's website has gone but I if you are interested in his methods message me.
What is different from my previous RS: The RS now displays RS candles. So if you prefer to watch price action of candles to
a line chart which only plots the ratio of closes then this will be more interesting to you.
I have also thrown in a few options to have fun with.
Jayy
Momentum of Relative strength to Index Leaf_West styleMomentum of Relative Strength to index as used by Leaf_West. This is to be used with the companion Relative Strength to Index indicator Leaf_West Style. Make sure you use the same index for comparison. If you follow his methods be aware of the different moving averages for the different time periods. From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an 8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line.
For daily or 130-minute time periods (or shorter), my R/S charts are slightly different - the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)." Leaf's methods do evolve and so watch for any changes to the preferred MAs etc..
Relative strength to Index set up as per Leaf_WestRelative Strength to index as used by Leaf_West. If you follow his methods be aware of the different moving averages for the different time periods. From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an 8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line.
For daily or 130-minute time periods (or shorter), my R/S charts are slightly different - the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)." Leaf's methods do evolve and so watch for any changes to the preferred MAs etc..
Smart Money Zones (FVG + OB) + MTF Trend Panel## Overview
Professional-grade institutional trading zones indicator that identifies **Fair Value Gaps (FVG)** and **Order Blocks (OB)** - key price inefficiencies where smart money operates. Includes a comprehensive **Multi-Timeframe Trend Panel** for complete market context at a glance.
## Core Features
### 🎯 Fair Value Gaps (FVG)
Fair Value Gaps occur when price moves so aggressively that it leaves an "imbalance" or "gap" in the market structure. These zones often act as magnets where price returns to find liquidity.
**Detection Logic:**
- **Bullish FVG**: When current candle's low is above the high of the candle 2 bars ago
- **Bearish FVG**: When current candle's high is below the low of the candle 2 bars ago
- Requires strong impulse candle (configurable body percentage threshold)
- Color-coded zones: Green for bullish, Red for bearish
### 📦 Order Blocks (OB)
Order Blocks represent the last opposite candle before a significant price move - the zone where institutional orders were placed before the breakout.
**Detection Logic:**
- Identifies the last bearish candle before a strong bullish breakout (Bullish OB)
- Identifies the last bullish candle before a strong bearish breakout (Bearish OB)
- Validates breakout strength using ATR multiplier (1.2x default)
- Color-coded zones: Blue for bullish, Orange for bearish
### 📊 Multi-Timeframe Trend Panel
Real-time trend analysis across **7 timeframes** displayed in an elegant dashboard:
- **1 Minute** - Ultra short-term scalping
- **5 Minutes** - Short-term momentum
- **15 Minutes** - Intraday swings
- **30 Minutes** - Session trends
- **1 Hour** - Multi-session trends
- **4 Hours** - Daily structure
- **Daily** - Long-term direction
**Visual Indicators:**
- 🟢 Green circle = Bullish trend
- 🔴 Red circle = Bearish trend
- Clean, professional table design with customizable position and size
## Intelligence Features
### 🧠 Zone Strength Rating
Every zone is automatically classified by strength based on size relative to ATR:
- **VERY STRONG** - 2.0x ATR or more (major institutional zones)
- **STRONG** - 1.5x to 2.0x ATR (significant zones)
- **MEDIUM** - 1.0x to 1.5x ATR (moderate zones)
- **WEAK** - Below 1.0x ATR (minor zones)
Strength rating helps you prioritize which zones to trade from!
### 📉 Smart Mitigation Tracking
Zones automatically track how much they've been "filled" or mitigated:
- Calculates penetration percentage as price enters the zone
- Zones turn **gray** when 50%+ mitigated or fully filled
- Option to **auto-delete** mitigated zones to keep chart clean
- Live zones extend dynamically with price action
### 🎨 Trend Filter (Optional)
When enabled, only shows zones aligned with the current trend:
- Uses customizable MA period (default 50)
- Bullish zones only appear in uptrend
- Bearish zones only appear in downtrend
- Reduces noise and false signals significantly
## Customization Options
### Display Settings
- Toggle FVGs and OBs independently
- Adjust max zones per type (5-200)
- Choose to remove or gray out mitigated zones
- Color customization for all zone types
### Detection Parameters
- **Min Impulse Body %**: Controls how strong the impulse candle must be (0.3-1.0)
- **Order Block Lookback**: How many bars to look back for OB validation (5-50)
- **ATR Length**: Period for ATR calculation (5-50)
### Trend Filter
- Enable/disable trend filtering
- Adjustable MA period for trend determination
### MTF Panel
- Show/hide the trend panel
- 4 position options: Top Right, Top Left, Bottom Right, Bottom Left
- 3 size options: Small, Normal, Large
- Customizable MA period for trend calculation across all timeframes
## Trading Applications
### 1. **Liquidity Grab Entries**
Wait for price to sweep a zone (50%+ mitigation) then enter on reversal. Smart money often "hunts" these zones before the real move begins.
### 2. **Confluence Trading**
Look for zones that align with:
- Multiple timeframe trends showing same direction
- Multiple FVGs/OBs stacking in same area
- Key support/resistance levels
### 3. **Breakout Confirmation**
Use Order Blocks to confirm the strength of breakouts. Strong OBs indicate institutional participation.
### 4. **Retracement Entries**
Enter when price returns to a fresh, unmitigated zone in the direction of the higher timeframe trend.
### 5. **Range Trading**
Identify FVG zones at range extremes - price often reverses at these inefficiencies.
## How It Works
**Fair Value Gaps** form when the middle candle creates such aggressive movement that it leaves a price gap between the high/low of surrounding candles. Institutional traders know these gaps get filled.
**Order Blocks** mark the origin of major moves. The last opposite-colored candle before a breakout is where large orders were placed. Price often returns to these zones for "retests" before continuing.
**Mitigation** happens when price returns to fill these zones. The indicator tracks this automatically, showing you which zones are still "fresh" and which have been used up.
## Best Practices
✅ **Use higher timeframe trends** - Always check the MTF panel before taking trades
✅ **Trade fresh zones** - Unmitigated zones (not gray) have the highest probability
✅ **Combine with price action** - Look for rejection wicks and engulfing candles at zones
✅ **Respect zone strength** - VERY STRONG and STRONG zones are most reliable
✅ **Use trend filter** - Especially on lower timeframes to reduce false signals
❌ **Don't overtrade** - Not every zone will react, wait for confirmation
❌ **Don't ignore context** - Check the MTF panel for conflicting trends
❌ **Don't chase** - Wait for price to come to the zone, don't enter mid-zone
## Technical Details
- **Non-repainting**: All zones are drawn on confirmed candles only
- **Performance optimized**: Uses efficient array management with per-type caps
- **Real-time updates**: Zones extend and track mitigation as price moves
- **Universal compatibility**: Works on all markets and timeframes
## Recommended Settings by Style
**Scalping (1m-5m charts):**
- Max zones: 10-15
- Use trend filter: ON
- MTF Panel: Focus on 1m-15m trends
- Remove mitigated: ON (keep chart clean)
**Day Trading (5m-1H charts):**
- Max zones: 15-20
- Use trend filter: ON
- MTF Panel: Focus on 15m-4H trends
- Remove mitigated: OFF (track zone history)
**Swing Trading (1H-D charts):**
- Max zones: 20+
- Use trend filter: Optional
- MTF Panel: Focus on 1H-1D trends
- Remove mitigated: OFF (important zones persist)
---
## Perfect For
- Smart Money Concept (SMC) traders
- ICT methodology followers
- Institutional order flow traders
- Price action traders seeking key zones
- Multi-timeframe analysis enthusiasts
**Compatible with all markets:** Forex, Crypto, Stocks, Indices, Commodities, Futures
*Trade where the institutions trade. Follow the smart money.*
Smart Money Zones (FVG + OB) + MTF Trend Panel## Overview
Professional-grade institutional trading zones indicator that identifies **Fair Value Gaps (FVG)** and **Order Blocks (OB)** - key price inefficiencies where smart money operates. Includes a comprehensive **Multi-Timeframe Trend Panel** for complete market context at a glance.
## Core Features
### 🎯 Fair Value Gaps (FVG)
Fair Value Gaps occur when price moves so aggressively that it leaves an "imbalance" or "gap" in the market structure. These zones often act as magnets where price returns to find liquidity.
**Detection Logic:**
- **Bullish FVG**: When current candle's low is above the high of the candle 2 bars ago
- **Bearish FVG**: When current candle's high is below the low of the candle 2 bars ago
- Requires strong impulse candle (configurable body percentage threshold)
- Color-coded zones: Green for bullish, Red for bearish
### 📦 Order Blocks (OB)
Order Blocks represent the last opposite candle before a significant price move - the zone where institutional orders were placed before the breakout.
**Detection Logic:**
- Identifies the last bearish candle before a strong bullish breakout (Bullish OB)
- Identifies the last bullish candle before a strong bearish breakout (Bearish OB)
- Validates breakout strength using ATR multiplier (1.2x default)
- Color-coded zones: Blue for bullish, Orange for bearish
### 📊 Multi-Timeframe Trend Panel
Real-time trend analysis across **7 timeframes** displayed in an elegant dashboard:
- **1 Minute** - Ultra short-term scalping
- **5 Minutes** - Short-term momentum
- **15 Minutes** - Intraday swings
- **30 Minutes** - Session trends
- **1 Hour** - Multi-session trends
- **4 Hours** - Daily structure
- **Daily** - Long-term direction
**Visual Indicators:**
- 🟢 Green circle = Bullish trend
- 🔴 Red circle = Bearish trend
- Clean, professional table design with customizable position and size
## Intelligence Features
### 🧠 Zone Strength Rating
Every zone is automatically classified by strength based on size relative to ATR:
- **VERY STRONG** - 2.0x ATR or more (major institutional zones)
- **STRONG** - 1.5x to 2.0x ATR (significant zones)
- **MEDIUM** - 1.0x to 1.5x ATR (moderate zones)
- **WEAK** - Below 1.0x ATR (minor zones)
Strength rating helps you prioritize which zones to trade from!
### 📉 Smart Mitigation Tracking
Zones automatically track how much they've been "filled" or mitigated:
- Calculates penetration percentage as price enters the zone
- Zones turn **gray** when 50%+ mitigated or fully filled
- Option to **auto-delete** mitigated zones to keep chart clean
- Live zones extend dynamically with price action
### 🎨 Trend Filter (Optional)
When enabled, only shows zones aligned with the current trend:
- Uses customizable MA period (default 50)
- Bullish zones only appear in uptrend
- Bearish zones only appear in downtrend
- Reduces noise and false signals significantly
## Customization Options
### Display Settings
- Toggle FVGs and OBs independently
- Adjust max zones per type (5-200)
- Choose to remove or gray out mitigated zones
- Color customization for all zone types
### Detection Parameters
- **Min Impulse Body %**: Controls how strong the impulse candle must be (0.3-1.0)
- **Order Block Lookback**: How many bars to look back for OB validation (5-50)
- **ATR Length**: Period for ATR calculation (5-50)
### Trend Filter
- Enable/disable trend filtering
- Adjustable MA period for trend determination
### MTF Panel
- Show/hide the trend panel
- 4 position options: Top Right, Top Left, Bottom Right, Bottom Left
- 3 size options: Small, Normal, Large
- Customizable MA period for trend calculation across all timeframes
## Trading Applications
### 1. **Liquidity Grab Entries**
Wait for price to sweep a zone (50%+ mitigation) then enter on reversal. Smart money often "hunts" these zones before the real move begins.
### 2. **Confluence Trading**
Look for zones that align with:
- Multiple timeframe trends showing same direction
- Multiple FVGs/OBs stacking in same area
- Key support/resistance levels
### 3. **Breakout Confirmation**
Use Order Blocks to confirm the strength of breakouts. Strong OBs indicate institutional participation.
### 4. **Retracement Entries**
Enter when price returns to a fresh, unmitigated zone in the direction of the higher timeframe trend.
### 5. **Range Trading**
Identify FVG zones at range extremes - price often reverses at these inefficiencies.
## How It Works
**Fair Value Gaps** form when the middle candle creates such aggressive movement that it leaves a price gap between the high/low of surrounding candles. Institutional traders know these gaps get filled.
**Order Blocks** mark the origin of major moves. The last opposite-colored candle before a breakout is where large orders were placed. Price often returns to these zones for "retests" before continuing.
**Mitigation** happens when price returns to fill these zones. The indicator tracks this automatically, showing you which zones are still "fresh" and which have been used up.
## Best Practices
✅ **Use higher timeframe trends** - Always check the MTF panel before taking trades
✅ **Trade fresh zones** - Unmitigated zones (not gray) have the highest probability
✅ **Combine with price action** - Look for rejection wicks and engulfing candles at zones
✅ **Respect zone strength** - VERY STRONG and STRONG zones are most reliable
✅ **Use trend filter** - Especially on lower timeframes to reduce false signals
❌ **Don't overtrade** - Not every zone will react, wait for confirmation
❌ **Don't ignore context** - Check the MTF panel for conflicting trends
❌ **Don't chase** - Wait for price to come to the zone, don't enter mid-zone
## Technical Details
- **Non-repainting**: All zones are drawn on confirmed candles only
- **Performance optimized**: Uses efficient array management with per-type caps
- **Real-time updates**: Zones extend and track mitigation as price moves
- **Universal compatibility**: Works on all markets and timeframes
## Recommended Settings by Style
**Scalping (1m-5m charts):**
- Max zones: 10-15
- Use trend filter: ON
- MTF Panel: Focus on 1m-15m trends
- Remove mitigated: ON (keep chart clean)
**Day Trading (5m-1H charts):**
- Max zones: 15-20
- Use trend filter: ON
- MTF Panel: Focus on 15m-4H trends
- Remove mitigated: OFF (track zone history)
**Swing Trading (1H-D charts):**
- Max zones: 20+
- Use trend filter: Optional
- MTF Panel: Focus on 1H-1D trends
- Remove mitigated: OFF (important zones persist)
---
## Perfect For
- Smart Money Concept (SMC) traders
- ICT methodology followers
- Institutional order flow traders
- Price action traders seeking key zones
- Multi-timeframe analysis enthusiasts
**Compatible with all markets:** Forex, Crypto, Stocks, Indices, Commodities, Futures
*Trade where the institutions trade. Follow the smart money.*
VIX Percentile OscillatorWhat is this script?
This is a trading tool that helps you decide when to buy or sell options based on market volatility. Think of it as a "fear meter" for the stock market.
What is VIX?
VIX = Volatility Index (also called the "fear index")
When VIX is HIGH → Market is scared/volatile → Options are EXPENSIVE
When VIX is LOW → Market is calm → Options are CHEAP
What does "Percentile" mean?
Instead of just showing VIX price, this script shows where VIX is compared to history.
Example: If VIX Percentile = 85%
This means VIX is higher than 85% of all past readings
Only 15% of the time was VIX higher than now
Translation: Volatility is unusually HIGH
The 5 Trading Zones
The script divides the market into 5 zones:
🔴 EXTREME SELLING ZONE (90-100%)
VIX is in the top 10% historically
Action: AGGRESSIVELY SELL OPTIONS (collect big premiums)
Market panic = expensive options = profit for sellers
🟠 SELLING ZONE (80-89%)
VIX is elevated but not extreme
Action: SELL OPTIONS (good premiums available)
⚪ NEUTRAL ZONE (20-79%)
VIX is normal
Action: WAIT or use other strategies
🟢 BUYING ZONE (10-19%)
VIX is low
Action: BUY OPTIONS (they're cheap)
🟢 EXTREME BUYING ZONE (0-9%)
VIX is in the bottom 10% historically
Action: AGGRESSIVELY BUY OPTIONS (bargain prices)
Market complacency = cheap options = opportunity
Understanding the Chart
Main Line (Blue/Red/Green):
Shows current VIX percentile
Color changes based on zone
Thick line = easy to see
Histogram (Background bars):
Red bars = above 50% (high volatility)
Green bars = below 50% (low volatility)
Purple Momentum Line:
Shows if VIX is rising or falling
Helps you catch trends early
Background Colors:
Light red/orange = Selling zones
Light green = Buying zones
Triangle Markers:
Appear when entering new zones
"EXTREME" label = strongest signals
The Statistics Table (Top Right)
VIX Price: Current VIX value (e.g., 16.50)
Percentile: Where VIX ranks (0-100%)
Z-Score: Statistical measure
Above +2 or below -2 = extreme
Red text = unusually high/low
Momentum: Rate of change
Red = rising (volatility increasing)
Green = falling (volatility decreasing)
Avg VIX: Average VIX over lookback period
Current Zone: Which zone you're in right now
Bars in Zone: How long you've been in this zone
Simple Trading Rules
FOR OPTION SELLERS (Premium Collectors):
✅ SELL when: Percentile > 80% (especially > 90%)
High premiums available
Examples: Sell covered calls, cash-secured puts, credit spreads
FOR OPTION BUYERS (Hedgers/Speculators):
✅ BUY when: Percentile < 20% (especially < 10%)
Cheap options available
Examples: Buy protective puts, long calls, debit spreads
Key Settings You Can Adjust
Lookback Period (default: 252)
How far back to compare (252 = 1 year of trading days)
Longer = smoother, more stable
Shorter = more sensitive to recent changes
Smoothing Period (default: 3)
Reduces noise/wiggling
Higher = smoother line
Lower = more responsive
Zone Thresholds:
Extreme Sell: 90%
Sell: 80%
Buy: 20%
Extreme Buy: 10%
You can customize these!
Real-World Example
Scenario: VIX Percentile jumps to 92%
What this means:
VIX is higher than 92% of all past readings
Market is in panic mode
Option premiums are INFLATED
Trading Action:
✅ Sell covered calls on stocks you own
✅ Sell cash-secured puts on stocks you want to buy
✅ Sell credit spreads
❌ DON'T buy expensive options right now
Why it works: When fear is extreme, it usually calms down eventually. You profit as premiums deflate.
Important Reminders
⚠️ This is a TIMING tool, not a crystal ball
It tells you WHEN premiums are expensive/cheap
It doesn't tell you WHICH options to trade
You still need proper risk management
⚠️ Works on ALL timeframes
Daily charts = swing trading
Weekly charts = position trading
Intraday charts = day trading volatility
⚠️ Best for:
Option sellers during high VIX (>80%)
Option buyers during low VIX (<20%)
Portfolio hedging decisions
Volatility trading strategies
Bottom Line: This script helps you buy options when they're cheap and sell options when they're expensive. It's like shopping for sales, but for volatility!
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Trinity Real Move Detector DashboardRelease Notes (critical)
1. This code "will" require tweaks for different timeframes to the multiplier, do not assume the data in the table is accurate, cross check it with the Trinity Real Move Detector or another ATR tool, to validate the values in the table and ensure you have set the correct values.
2. I mention this below. But please understand that pine code has a limitation in the number of security calls (40 request.security() calls per script). This code is on the limit of that threshold and I would encourage developers to see if they can find a way around this to improve the script and release further updates.
What do we have...
The Trinity Real Move Detector Dashboard is a powerful TradingView indicator designed to scan multiple assets at once and show when each one has genuine short-term volatility "energy" — the kind that makes directional options trades (especially 0DTE or short-dated) have a high probability of follow-through, and can be used for swing trading as well. It combines a simple ATR-based volatility filter with a SuperTrend-style bias to tell you not only if the market is "awake" but also in which direction the momentum is leaning.
At its core, the indicator calculates the current ATR on your chosen timeframe and compares it to a user-defined percentage of the asset's daily ATR. When the short-term ATR spikes above that threshold, it signals "enough energy" — meaning the underlying is moving with real force rather than choppy noise. The SuperTrend logic then determines bullish or bearish bias, so the status shows "BULLISH ENERGY" (green) or "BEARISH ENERGY" (red) when energy is on, or "WAIT" when it's not. It also counts how many bars the energy has been active and shows the current ATR vs threshold for quick visual confirmation.
The dashboard displays all this in a clean table with columns for Symbol, Multiplier, Current ATR, Threshold, Status, Bars Active, and Bias (UP/DOWN). It's perfect for 3-minute charts but works on any timeframe — just adjust the multiplier based on the hints in the settings.
Editing symbols and multipliers is straightforward and user-friendly. In the indicator settings, you'll see numbered inputs like "1. Symbol - NVDA" and "1. Multiplier". To change an asset, simply type the new ticker in the symbol field (e.g., replace "NVDA" with "TSLA", "AVGO", or "ADAUSD"). You can also adjust the multiplier for each asset individually in the corresponding "Multiplier" field to make it more or less sensitive — lower numbers give more signals, higher numbers give stricter, higher-quality ones. This lets you customize the dashboard to your watchlist without any coding. For example, if you switch to a 4-hour chart or a slower-moving stock like AVGO, you may need to raise the multiplier (e.g., to 0.3–0.4) to avoid false "bullish" signals during minor bounces in a larger downtrend.
One important note about the multiplier and timeframes: the default values are optimized for fast intraday charts (like 3-minute or 5-minute). On higher timeframes (15-minute, 1-hour, 4-hour, or daily), the SuperTrend bias can be too sensitive with low multipliers (1.0 default in the code), leading to situations like the AVGO 4-hour example — where price is clearly downtrending, but the dashboard shows "BULLISH ENERGY" because the tight bands flip on small bounces. To fix this, you need to manually increase the multiplier for that asset (or all assets) in the settings. For 4-hour or daily charts, 0.25–0.35 is often better to match smoother SuperTrend indicators like Trinity. Always test on your timeframe and asset — crypto usually needs slightly lower multipliers than stocks due to higher volatility.
TradingView has a hard limit of 40 request.security() calls per script. Each asset in the dashboard requires several calls (current ATR, daily ATR, SuperTrend components, etc.), so with the full ATR-based bias, you can safely monitor about 6–8 assets before hitting the limit. Adding more symbols increases the number of calls and will trigger the "too many securities" error. This is a platform restriction to prevent excessive server load, and there's no official way around it in a single script. Some advanced coders use tricks like caching or lower-timeframe requests to squeeze in a few more, but for reliability, sticking to 6–8 assets is recommended. If you need more, the common workaround is to create two separate indicators (e.g., one for stocks, one for crypto) and add both to the same chart.
Overall, this dashboard gives you a professional-grade multi-asset scanner that filters out low-energy noise and highlights real momentum opportunities across stocks and crypto — all in one glance. It's especially valuable for options traders who want to avoid theta decay on weak moves and only strike when the market has true fuel. By tweaking the per-symbol multipliers in the settings, you can perfectly adapt it to any timeframe or asset behavior, avoiding issues like the AVGO false bullish signal on higher timeframes.
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions.
1. Introduction
This study displays three lines directly on the chart:
- a central reference line (base),
- an upper overvaluation band,
- and a lower undervaluation band.
The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior.
2. Key Features
- Volatility-normalized base
The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons.
- Auto-adjusting limits (optional)
An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration.
- Direct plot on price chart
The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane.
- Flexible parameters
Users can control:
- base moving average period (length)
- volatility factor (manual or automatic)
- independent windows for volatility and limits calculation
- limits mode (auto or manual) and percentile used
This allows adapting behavior to different markets (stocks, indices, forex, crypto).
3. How to Use
- Basic interpretation
- When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility.
- When price approaches or exceeds the lower band, it indicates a statistically undervalued zone.
- The central line serves as a reference for recent "average value," derived from the base moving average.
- Recommended initial setup
- Choose the Value Chart period (e.g., 144 bars) for the base.
- Enable automatic limits mode for coherent bands matching the asset's volatility.
- Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme).
- Best practices
- Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators.
- Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods.
- Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Advanced Confluence DashboardAdvanced Confluence Dashboard - Multi-Indicator Technical Analysis Tool
OVERVIEW
The Advanced Confluence Dashboard is a comprehensive technical analysis tool designed to help traders identify high-probability trade setups by tracking multiple technical indicators simultaneously. The indicator displays up to 13 different technical confluences in an easy-to-read dashboard format, providing both individual signals and an overall market bias percentage. Switch between full table view and condensed view for maximum chart flexibility.
FEATURES
- 13 Technical Confluences: RSI, VWAP, EMA Cross (9/21), MACD, Stochastic, Trend (50 EMA), Bollinger Bands, ADX Strength, Price Momentum, Volume Breakout, VWAP Bands, 200 EMA, and Price Action (Higher Highs/Lower Lows)
- Real-time Confluence Scoring: Automatically calculates bullish vs bearish signal strength
- Multi-Timeframe Support: Analyze indicators on any timeframe while viewing your chart on another
- Customizable Display: Toggle individual indicators on/off, adjust table position, size, and transparency
- ATR Information: Optional ATR display for volatility-based position sizing
- Condensed View Mode: Ultra-minimal display showing only confluence score and ATR (perfect for scalpers who want maximum chart visibility)
- Full Table View: Detailed breakdown of each indicator's value and signal
- Color-Coded Signals: Green (bullish), red (bearish), white (neutral) for instant visual clarity
HOW IT WORKS
The indicator evaluates each enabled technical indicator and assigns it either a bullish or bearish signal based on its current state. The confluence score shows how many indicators are aligned in each direction, giving you a clear percentage-based view of market bias. For example, if 8 out of 13 indicators are bullish, you'll see a 62% LONG BIAS signal.
DISPLAY MODES
Full View: Shows all enabled indicators with their current values and signals in a detailed table format. Perfect for understanding exactly which indicators are bullish or bearish and why.
Condensed View: Shows only the confluence score (e.g., "4/13 LONG | 9/13 SHORT - SHORT BIAS 69%") and optional ATR information. This minimal display keeps your chart clean while still providing the essential confluence data you need for quick trading decisions. Ideal for scalpers and traders who want maximum chart space.
CONFLUENCES EXPLAINED
- RSI: Momentum oscillator (>50 bullish, <50 bearish, shows overbought/oversold)
- VWAP: Volume-weighted average price (above = bullish, below = bearish)
- EMA Cross: Fast EMA (9) vs Slow EMA (21) with price position
- MACD: Trend-following momentum (line above signal = bullish)
- Stochastic: Momentum oscillator (>50 bullish, <50 bearish)
- Trend (50 EMA): Price position relative to 50-period EMA
- Bollinger Bands: Volatility and mean reversion (above middle = bullish)
- ADX Strength: Trend strength indicator (shows strong trends)
- Price Momentum: Rate of price change over specified period
- Volume Breakout: Detects unusual volume with directional bias
- VWAP Bands: Standard deviation bands around VWAP
- 200 EMA: Long-term trend indicator
- Price Action: Higher Highs and Lower Lows pattern detection
SETTINGS
Timeframe Settings:
- Indicator Timeframe: Analyze indicators on a different timeframe than your chart
Display Options:
- Condensed View: Toggle between full table and minimal display
- Show ATR Info: Display/hide ATR information
- Table Position: 9 positions (top/middle/bottom + left/center/right)
- Text Size: Auto, tiny, small, normal, large, huge
- Table Transparency: 0-100%
- Border Width: 1-5 pixels
Confluence Toggles:
- Enable/disable any of the 13 confluences individually
- Confluence score automatically adjusts based on enabled indicators
Indicator Settings:
- RSI Length (default: 14)
- ATR Length (default: 14)
- Fast/Slow EMA (default: 9/21)
- Trend EMA (default: 50)
- Volume SMA Length (default: 20)
- Volume Breakout Multiplier (default: 2.0x)
- Bollinger Bands Length/StdDev (default: 20/2.0)
- ADX Length (default: 14)
- ADX Strength Threshold (default: 25)
- Momentum Length (default: 10)
IDEAL USE CASES
- Scalping: Quick identification of confluence for fast entries/exits - use condensed view for clean charts
- Day Trading: Multi-timeframe analysis for intraday setups
- Swing Trading: Confirmation of longer-term bias
- Risk Management: Higher confluence = higher probability trades
- Trade Filtering: Only take trades when confluence reaches your threshold
- Multi-Monitor Setups: Use condensed view on execution charts, full view on analysis charts
HOW TO USE
1. Add the indicator to your chart
2. Toggle on/off the confluences you prefer to use
3. Choose between Full View (detailed) or Condensed View (minimal)
4. Adjust the table position and size to your preference
5. Look for high confluence percentages (70%+ is strong bias)
6. Use the individual indicator signals (full view) to understand market structure
7. Combine with your trading strategy for entry/exit confirmation
TIPS
- Use Condensed View when scalping to keep your chart clean and uncluttered
- Switch to Full View when you need to analyze which specific indicators are conflicting
- Higher confluence doesn't guarantee success - always use proper risk management
- Consider using 60%+ confluence as a minimum threshold for trades
- Pay attention to which specific indicators are aligned vs conflicting
- Use the ATR display for quick reference on position sizing
- Experiment with different timeframes to find what works for your style
- Disable indicators you don't use to simplify your confluence scoring
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other type of advice. Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before making any investment decisions.
BTC Mon 8am Buy / Wed 2pm Sell (NY Time, Daily + Intraday)This strategy implements a fixed weekly time-based trading schedule for Bitcoin, using New York market hours as the reference clock. It is designed to test whether a consistent pattern exists between early-week accumulation and mid-week distribution in BTC price behavior.
Entry Rule — Monday 8:00 AM (NY Time)
The strategy enters a long position every Monday at exactly 08:00 AM Eastern Time, one hour after the U.S. equities market pre-open activity begins influencing global liquidity.
This timing attempts to capture early-week directional moves in Bitcoin, which sometimes occur as traditional markets come online.
Exit Rule — Wednesday 2:00 PM (NY Time)
The strategy closes the position every Wednesday at 2:00 PM Eastern Time, a point in the week where:
U.S. equity markets are still open
BTC often experiences mid-week volatility rotations
Liquidity is generally high
This exit removes exposure before later-week uncertainty and gives a consistent, measurable time window for each trade.
Timeframe Compatibility
Works on intraday charts (recommended 1h or lower) using precise time-based triggers.
Also runs on daily charts, where entries and exits occur on the Monday and Wednesday bars respectively (daily charts cannot show intraday timestamps).
All timestamps are synced to America/New_York regardless of the exchange’s native timezone.
Trading Frequency
Exactly one trade per week, preventing overtrading and allowing comparison of weekly performance across years of historical BTC price data.
Purpose of the Strategy
This is not a value-based or trend-following system, but a behavioral/time-cycle analysis tool.
It helps evaluate whether a repeating short-term edge exists based solely on:
Weekday timing
Liquidity cycles
Institutional market influence
BTC’s habitual early-week momentum patterns
It is ideal for:
Backtesting weekly BTC behavior
Studying time-based edges
Comparing alternative weekday/time combinations
Visualizing weekly P&L structure
Risk Notes
This strategy does not attempt to predict price direction and should not be assumed profitable without robust backtesting.
Time-based edges can appear, disappear, or invert depending on macro conditions.
There is no stop loss or risk management included by default, so the strategy reflects raw timing-based performance.
Hash Pivot DetectorHash Pivot Detector
Professional Support & Resistance Detection with Multi-Timeframe Zone Analysis
Developed by Hash Capital Research, the Hash Pivot Detector is a sophisticated indicator designed for identifying key support and resistance levels using pivot-based detection with institutional-grade zone analysis.
Key Features
Zone-Based Detection
Unlike traditional single-line S/R indicators, Hash Pivot Detector uses configurable zones around pivot levels to represent realistic institutional order areas. Adjustable zone width accommodates different asset volatilities.
Multi-Timeframe Analysis
Displays higher timeframe support/resistance levels alongside current timeframe pivots, providing crucial context for institutional positioning and stronger price barriers.
Clean Visual Design
Features Hash Capital's signature fluorescent color scheme (pink resistance, cyan support) optimized for dark charts with high contrast and instant visual recognition. Semi-transparent zones keep your chart clean and readable.
How It Works
The indicator uses pivot high/low detection with configurable left and right bar parameters. When a pivot is confirmed, it plots:
Primary support/resistance lines at pivot levels
Semi-transparent zones representing realistic order areas
Higher timeframe S/R levels as crosses for additional context
Recommended Settings
For Swing Trading:
Pivot Bars: 10-20 left/right
Zone Width: 0.5-1.0%
HTF: Daily (on 1H-4H charts)
For Intraday Trading:
Pivot Bars: 5-10 left/right
Zone Width: 0.3-0.5%
HTF: 1H or 4H (on 5min-15min charts)
Asset-Specific Zone Width:
Forex/Crypto: 0.3-0.5%
Stocks: 0.5-1.0%
Volatile Assets: 1.0-2.0%
What Makes It Different
✓ Zone-based approach (more realistic than lines)
✓ Multi-timeframe confluence detection
✓ Minimal visual clutter with maximum information
✓ Professional institutional aesthetic
✓ Comprehensive tooltips for easy optimization
✓ No repainting - all pivots are confirmed
Best Used For
Identifying high-probability entry/exit zones
Setting stop-loss and take-profit levels
Recognizing breakout/breakdown areas
Multi-timeframe confluence analysis
Swing trading and position trading
Intraday scalping with adjusted parameters
Notes
Works on all timeframes and markets
Fully customizable colors and parameters
All settings include detailed optimization guidance
Clean code, efficient performance
No alerts or notifications (visual analysis only)
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise.
It integrates three core analytical components into a single interface:
Trend Engine: A Linear Regression Curve to determine the mean trajectory.
Volume Verification: Filters signals to ensure price movement is backed by market participation.
Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis.
2. Core Components and Logic
The Trajectory Engine
The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction.
The Baseline: Represents the "fair value" or mean trajectory of the asset.
The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation.
Trend Definition:
Bullish: Price breaks above the Upper Deviation Band.
Bearish: Price breaks below the Lower Deviation Band.
Neutral/Chop: Price remains inside the cloud.
Smart Volume Filter
The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume.
High Volume: Current volume is greater than the Volume SMA.
Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity.
Volume Structure (Smart Liquidity)
The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points.
Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active).
Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached.
3. Signal Guide
Trend Reversals (Buy/Sell Labels)
These are the primary signals indicating a potential change in the macro trend.
BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend.
SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend.
Pullbacks (Small Circles)
These are continuation signals, useful for adding to positions or entering an existing trend.
Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it.
Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it.
4. Configuration and Settings
Trend Engine Settings
Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity.
Channel Multiplier: Controls the width of the cloud.
1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives.
1.5: Balanced (Default).
2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals.
Signal Logic
Show Trend Reversals: Toggles the main Buy/Sell labels.
Show Pullbacks: Toggles the re-entry circle signals.
Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement.
Volume Structure
Show Smart Liquidity: Toggles the Support/Resistance boxes.
Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures.
Max Active Zones: Limits the number of boxes on the chart to prevent clutter.
5. Timeframe Optimization Guide
To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe.
Scalping (1-Minute to 5-Minute Charts)
Recommended Length: 20 to 30
Multiplier: 1.2 to 1.5
Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes.
Day Trading (15-Minute to 1-Hour Charts)
Recommended Length: 55 (Default)
Multiplier: 1.5
Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions.
Swing Trading (4-Hour to Daily Charts)
Recommended Length: 89 to 100
Multiplier: 1.8 to 2.0
Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements.
6. Dashboard (HUD) Interpretation
The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually.
Bias: Displays the current trend direction (BULLISH or BEARISH).
Momentum:
ACCELERATING: Price is moving away from the baseline (strong trend).
WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal).
Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average.
Disclaimer
*Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
Long Only EMA Strategy (9/20 with 200 EMA Filter)Details:
This strategy is built around a very simple idea: follow the primary trend and enter only when momentum supports it.
It uses three EMAs on a standard candlestick chart:
1. 9‑period EMA – short‑term momentum
2. 20‑period EMA – medium‑term structure
3. 200‑period EMA – long‑term trend filter
The strategy is ** long‑only ** and is mainly designed for swing trading and positional trading.
It avoids counter‑trend trades by taking entries only when price is trading ** above the 200 EMA **, which is commonly used as a long‑term trend reference.
The rules are deliberately kept simple so that they are easy to understand, modify, and test on different markets and timeframes.
---
Key Features
1. **Trend‑Filtered Entries**
- Fresh long positions are considered only when:
- The 9 EMA crosses above the 20 EMA
- The closing price is **above** the 200 EMA
- This attempts to combine short‑term momentum with a higher‑timeframe trend filter.
2. **Clean Exit Logic**
- The long position is exited when the closing price crosses **below** the 20 EMA.
- This creates an objective, rule‑based way to trail the trade as long as the medium‑term structure remains intact.
3. **Long‑Only, No Short Selling**
- The script intentionally ignores short setups.
- This makes it suitable for markets or accounts where short selling is restricted, or for traders who prefer to participate only on the long side of the market.
4. **Simple Visuals**
- All three EMAs are plotted directly on the chart:
- 9 EMA (fast)
- 20 EMA (medium)
- 200 EMA (trend)
- Trade entries and exits are handled by TradingView’s strategy engine, so users can see results in the Strategy Tester as well as directly on the chart.
5. **Backtest‑Friendly Structure**
- Uses TradingView’s built‑in `strategy()` framework.
- Can be applied to different symbols, timeframes, and markets (equities, indices, crypto, etc.).
- Works on standard candlestick charts, which are supported by TradingView’s backtesting engine.
6. **Configurable in Code**
- The EMA periods are defined in the code and can be easily adjusted.
- Users can tailor the parameters to fit their own style (for example, faster EMAs for intraday trading, slower EMAs for positional trades).
---
How to Use
1. **Add the Strategy to Your Chart**
1. Open any symbol and select a **standard candlestick chart**.
2. Apply the strategy from your “My Scripts” section.
3. Make sure it is enabled so that the trades and results appear.
2. **Select Timeframe**
- The logic can be tested on various timeframes:
- Higher timeframes (1H, 4H, 1D) for swing and positional setups.
- Lower timeframes (5m, 15m) for more active trading, if desired.
- Users should experiment and see where the strategy behaves more consistently for their chosen market.
3. **Read the Signals**
- **Entry:**
- A long trade is opened when the 9 EMA crosses above the 20 EMA while the closing price is above the 200 EMA.
- **Exit:**
- The open long position is closed when the closing price crosses below the 20 EMA.
- All orders are generated automatically once the strategy is attached to the chart.
4. **Use the Strategy Tester**
- Go to the **Strategy Tester** tab in TradingView.
- Check:
- Net profit / drawdown
- Win rate and average trade
- List of trades and the equity curve
- Change the date range and timeframe to see how stable the results are over different periods.
5. **Adjust Parameters if Needed**
- Advanced users can open the code and experiment with:
- EMA lengths (for example 8/21 with 200, or 10/30 with 200)
- Risk sizing and capital settings within the `strategy()` call
- Any changes should be thoroughly re‑tested before considering real‑world application.
---
Practical Applications
1. **Swing Trading on Daily Charts**
- Can be applied to stocks, indices, or ETFs on the daily timeframe.
- The 200 EMA acts as a trend filter to stay aligned with the broad direction, while the 9/20 crossover helps catch medium‑term swings inside that trend.
2. **Positional Trades on Higher Timeframes**
- On 4H or 1D charts, this approach can help in holding trades for several days to weeks.
- The exit rule based on the 20 EMA crossing helps avoid emotional decisions and provides a rules‑based way to trail the trend.
3. **Trend‑Following Filter**
- Even if used purely as a filter, the 200 EMA condition can help traders:
- Avoid taking long trades when the market is in a clear downtrend.
- Focus only on instruments that are trading above their long‑term average.
4. **Educational Use**
- The script is intentionally kept straightforward so that newer users can:
- Learn how a moving average crossover strategy works.
- See how to combine a short‑term signal with a long‑term filter.
- Understand how TradingView’s strategy engine handles entries and exits.
5. **Basis for Further Development**
- This can serve as a starting point for more advanced systems.
- Traders can extend it by adding:
- Additional filters (RSI, volume, volatility filters, time‑of‑day filters, etc.)
- Risk management rules (fixed stop loss, take profit, trailing stops).
- The current version is kept minimal on purpose, so modifications are easy to implement and test.
---
Important Notes & Disclaimer
1. This strategy is provided **for testing, research, and educational purposes only**.
2. It is ** not ** a recommendation to buy or sell any financial instrument.
3. Past performance on historical data does not guarantee similar results in live markets.
4. Markets are risky and trading can lead to financial loss; users should always do their own research, manage risk appropriately, and consult a qualified financial professional if needed.
5. Before using any strategy with real capital, it is strongly advised to:
- Forward test it on a demo / paper trading account.
- Check how it behaves during different market phases (trending, sideways, high‑volatility conditions).
You are free to modify the parameters and logic to better align it with your own trading style and risk tolerance.
