Multi-Time AVWAP_BEARConcept
Collaboration Highlight:
This was a collaboration with @Chart_School and @KioseffTrading Thank you to both, along with Ricardo Santos for his awesome library we used.
Overview
See how you view different time frame charts with one indicator and little to no adjustment.
Innovation:
The concept of using Anchored VWAP (AVWAP) with time events is a powerful technique in trading and technical analysis. Anchored VWAP differs from the traditional Volume Weighted Average Price (VWAP) by allowing traders to select a specific starting point or "anchor," from which the VWAP calculation begins. This approach is particularly useful for assessing price movements in relation to significant market events or specific periods of interest.
Utility and Flexibility:
Explaining the flexibility in turning on and off different time slices without much adjustment showcases a user-friendly design.
Key Uses and Benefits
Comparative Performance:
Anchoring the VWAP at the start of different time frames (e.g., weekly, monthly, quarterly) enables traders to compare the current price performance against previous periods. This comparison can highlight trends or shifts in trading momentum relative to past activity.
Support and Resistance Levels:
AVWAP lines can act as dynamic support and resistance levels. When anchored to significant time events, these levels gain additional relevance as they reflect the market's valuation of an asset since a notable point in time. Traders often watch for price interactions with these levels to make informed trading decisions.
Risk Management:
Anchored VWAP can serve as a benchmark for setting stop-loss orders or profit targets. By considering the price's relation to the AVWAP of a specific period or after a key event, traders can define exit points that are aligned with market-generated information.
Trend Confirmation: The direction and stability of the price relative to an anchored VWAP can indicate the strength of a trend. If the price consistently remains above an AVWAP anchored at a bullish event (or below for a bearish event), it may confirm the trend's continuation.
Further Reading
Educational Resource:
Becuase we are using Volume with a relation to price AVWAP is very powerful to show data that cannot be eye balled on its own. Brian Shannon's book "Maximum Trading Gains With Anchored VWAP - The Perfect Combination of Price, Time & Volume", is an excellent guide to best practices on how to use AVWAP to your advatage while trading. His book goes into depth about the best way to use this indicator to its fullest potencial.
Tips for Using This Indicator
Weekly / Monthly / Quarterly Settings:
All the settings for the lower timeframe charts are similar. Here is an example of seeing a Weekly AVWAP for 6 weeks, showing:
1. The start of the 6-week AVWAP is using a High Low Close source for the first candle of the 6 weeks.
2. The lines are colored "Red" for the AVWAPs.
3. The line thickness is "1".
Yearly Settings
Simlair to the other settings with the Yearly we give you a couple more options along with 3 years to toggle on and off. The idea was to allow the user to see which AVWAP most effected by price and quickly toggle them on and off to unclutter their chart.
Watch for how and if the labels over lap and choose the one you feel is most in play. In Shannon's Book he talks about "Hand off's" and "Pinches". These concepts are easy to spot with being able to see all the Major Time Events, then simply toggle off the one you dont need.
A great benefit to how we coded this script you can buzz through a watch list without having to re-adjust the Anchor points. This will save you time if following a basket of symbols and show coorlations in the overall market.
Secret Feature
When looking at these becuase the user doesn't need to hand plot the anchor points and we are fouced on major time slices, I encourge you to use the Trading View "Bar Replay" Feature. You think that you are missing a high or low AVWAP but what is happening is the indicator is re-plotting a level that is super hard to see, then you will see the hand-offs like Shannon discusses in his book. This blew me away while we were discussing it post development.
Conclusion
There are so many uses of how to use VWAP and therories on its best practice. We are only using "TIME EVENTS". For more ways to use AVWAP, I would encourge you to also handplot them with Trading View's new "Anchored VWAP", as seen in the standard toolbar.
Using your ideas along with this indicator i think its a powerful combination.
Also Check Out: allanster's - Anchored VWAP Pinch & Handoff, Intervals, and Signals
He has a great AVWAP script that incorporates many AVWAP ideas.
Komut dosyalarını "weekly" için ara
Tops & Bottoms - Day of Week Report█ OVERVIEW
The indicator tracks when the weekly tops and bottoms occur and reports the statistics by the days of the week.
█ CONCEPTS
Not all the days of the week are equal, and the market dynamic can follow through or shift over the trading week. Tops and bottoms are vital when entering a trade, as they will decide if you are catching the train or being straight offside. They are equally crucial when exiting a position, as they will determine if you are closing at the optimal price or seeing your unrealized profits vanish.
This indicator is before all for educational purposes. It aims to make the knowledge available to all traders, facilitate understanding of the various markets, and ultimately get to know your trading pairs by heart (and saving a lot of your time backtesting!).
USDJPY tops and bottoms percentages on any given week.
USDJPY tops and bottoms percentages on up weeks versus down weeks.
█ FEATURES
Custom interval
By default, the indicator uses the weekly interval defined by the symbol (e.g., Monday to Sunday). This option allows you to specify your custom interval.
Weekly interval type filter
Analyze the weekly interval on any weeks, up weeks, or down weeks.
Configurable time range filter
Select the period to report from.
█ NOTES
Trading session
The indicator analyzes the days of the week from the daily chart. The daily trading sessions are defined by the symbol (e.g., 17:00 - 17:00 on EURUSD).
Extended/electronic trading session
The indicator can include the extended hours when activated on the chart, using the 24-hour or 1440-minute timeframe.
█ HOW TO USE
Plot the indicator and navigate on the 1-day or 24-hour timeframe.
Universal RPPI Equities [SS Premium]Introducing the RPPI for Equities indicator.
Like its companion the RPPI for futures and indices, the RPPI for Equities is a compendium indicator of sorts, containing multiple different math based models for various equities tickers.
However, unlike the RPPI for futures and indices, the RPI for equities also has the ability to autogenerate a model that is tailored to the volatility of equities, if a base model does not exist within its compendium.
How Does it work and what does it do?
The RPPI contains multiple models that have been developed and corrected by myself, an example of which can be visualized in the above chart for the NYSE:DIS ticker. These models aim to forecast intraday, weekly and monthly price movements and help you to ascertain target prices that are realistic and achievable within your desired timeframe.
Which timeframes are availabe?
The indicator supports the following timeframes:
1. Daily
2. Weekly
3. Monthly
4. 3 Hour
5. 3 Month
What are some of the features?
So in addition to forecasting on the various timeframes, there are some innate functionalities and capabilities that have been programmed into the RPPI, in the same way they have been programmed into the futures version. These include:
1. Displaying Range Accumulation Zones & Standard Deviation
2. Performing autoregression assessments to help ascertain likely trajectory
3. Running Probability assessments on all timeframes
4. Displaying model performance via the demographic function.
While these features may not be new to you, I will go over them briefly below.
Displaying Range Accumulation Zones:
In the above example, you can see NVDA on the daily timeframe. The accumulation zones are displayed in blue and as a percentage value. We can see that the majority of the accumulation rested to the upside.
The prevailing theory with price accumulation is a ticker will frequently retrace and revisit areas of high accumulation, as these represent areas of demand and high volume.
Performing Autoregression Assessment
When you toggle on the autoregression assessment, you will get 3, trendlines. These represent the projected trajectory of the high, low and close. You can set your forecast length out as long or as short as you want.
The indicator will auto-select the best length and plot out the hypothesized trajectory based on the strongest identified trend.
Running Probabilities
To run probabilities, it is important to remember to be on the timeframe you wish to run the probabilities for. So, if you wish to run them on the daily timeframe, make sure your chart is on the daily and the indicator is set to "Daily" timeframe.
Once toggled on, you will get an assessment that looks like this:
This will display a breakdown of all previous instances of similar setups, and it will show you how many times each target were hit and give you an overall assessment of the likely sentiment, as well as the backtest results.
There are two types of probability options, "Momentum" and "Z-Score". The momentum is based on the underlying technicals, such as RSI and Stochastics; whereas, z-score is an assessment of standard deviation. If you want to know which one is "Best", you simply need look at the backtest results.
Displaying Model Performance:
To display model performance, go into the settings menu and select "Demographic Data".
As with the probabilities, please make sure you are set to the appropriate chart timeframe. If you are not, you will get an error message telling you to modify your timeframe.
This will break down how many times a ticker closes above or below its range, how many times the retracement target (GT) is hit and how many times, on average, a ticker hits the second high or second low target. This gives you some very useful stats to help you with your assessment (i.e. the TSLA example shows that, on the weekly timeframe, closing the week outside of the range only happens 11% of the time, so if we make a run outside of the range on a Monday or Tuesday, you know a good setup could be to short it and vice versa to the downside).
Warnings and Messages
This is not so much a feature of the indicator but just a reference to be aware of. In the settings menu, there is an option to "Show Warnings". This will prompt you with any warnings that exist on any ticker model. For example, if we look at the warnings for TSLA:
And AAPL:
Not all tickers have warnings, but the ones that you need to be aware of are programmed into the indicator for your reference.
Which models does this contain?
This contains over 30 different stock models, from LMT, BA, CSCO and GE to TSLA, NVDA, AAPL, GOOG, PCAR, META, ADBE and the list goes on.
As stated previously, it does have the ability to autofit.
WARNING
As a general warning, do not use this indicator to autofit to indices or futures. The parameters are set to what I find works best for equities and heightened volatility, it will not work great for indices. Please refer to other resources, such as the Universal Forecaster for such things as the equities RPPI will provide unreliable results if you are trying to cross use between different types of unintended equities (i.e. CFDs, Futures or Indicies)! I
As always, leave your questions and comments below.
Please be sure to read the instructions above the adding to favorites regarding how to access the indicator.
Thanks for reading and safe trades as always!
ATR Extensions (truss)This is an ATR band study. It presents the Daily and Weekly ATRs onto the chart, with an adjustable pivot as the mid-point.
ATR:
The study projects the following, from both daily and weekly timeframe analysis:
14-period ATR Bands for Daily
4-period ATR Bands for Weekly
Both period settings are adjustable by the user
Pivot:
The default pivot is set to (H+L+C)/3, but there's an option to use the current period's opening print as the pivot on a gap (or not on a gap, just enable it, and set the threshold to 0).
MGI:
This study also provides users the ability to the prior period Marketed Generated Information, such as: Current Period Open (Daily/Weekly), Prior Period Close, Prior Period High, Prior Period Low.
*The show_last setting is on 1 for these items for now, as I found them to clutter the chart and wanted to focus my efforts on the ATR bands. If there's a lot of demand for MGI studies, I can add to this or make a new one when I have time.
Happy to hear comments/suggestions/requests/praise.
Cheers
Multi VWAP [MW]Introduction
The Multi VWAP tool extends the concept of using the Anchored Volume Weighted Average Price, popularized by its founder, Brian Shannon, founder of AlphaTrends, and creates automatic AVWAPS for multiple anchor points, such as for 2-day, 3-day, 4-day, 5-day, and custom date anchors as well as automagically creating month-to-date and year-to-date anchors. Currently, most standard VWAP tools allow users to place custom anchored VWAPs, but the routine of doing this for every equity being watched can become cumbersome. This tool makes that process multi-times easier. Brian Shannon is also the author of “Maximum Trading Gains With Anchored VWAP: The Perfect Combination of Price, Time, and Volume”. Available at Amazon.
Settings
Daily VWAP : A continuous line of the the daily Volume Weighted Average Price (VWAP)
Weekly VWAP : A continuous line of the weekly VWAP
2-Day AVWAP : The anchored VWAP from 2 trading days ago (holidays and weekends are excluded in this calculation)
3-Day AVWAP : The anchored VWAP from 3 trading days ago
4-Day AVWAP : The anchored VWAP from 4 trading days ago
5-Day AVWAP : The anchored VWAP from 5 trading days ago. The slope of this line and the position of the price relative to this line can be used to determine trend direction.
10-Day AVWAP : The anchored VWAP from 10 trading days ago
Month-to-Date AVWAP : The anchored VWAP from the beginning of the current month
Year-to-Date AVWAP : The anchored VWAP from the beginning of the current year
Custom Date AVWAP : Sets a date to begin an anchored VWAP starting from any time.
Use only the most recent VWAP for Week, Month, and Year: Toggles on and off the continuous weekly, monthly, and yearly VWAPs
Calculations
This indicator does not provide buy or sell signals. It is simply the VWAP calculated starting from an “anchor point”, or start time. It is the calculated by the summation of Price x Volume / Volume for the period starting at the anchor point.
How to Interpret
According to Brian Shannon, VWAP is an objective measure of what the average trader has paid for a particular equity over a given period, and is the value that large institutional investors frequently use as a trade signal. Therefore, by definition, when the price is above an AVWAP, buyers are in control for that period of time. Likewise, if the price is below the AVWAP, sellers are in control for that period of time.
Shannon also distinguishes the importance of an increasing or decreasing 5 day VWAP, which reflects the price sentiment, objectively, for roughly the last trading week, or 5 trading days. Pricing below a decreasing 5-day VWAP is considered very bearish, while pricing above an increasing 5-day VWAP is considered bullish and is recommended before considering long positions.
Additionally, a custom VWAP can be generated to coincide with important events, such as FOMC meetings, CPI reports, earnings reports, etc.
Practically speaking, price action can tend to change direction when a significant VWAP is hit, voiding buy and sell signals. Like moving averages, this indicator can show, in real-time, how a buy or sell signal should be interpreted. A significant AVWAP line is a point of interest, and can serve as strong support or resistance, because large institutions may be using those values for entries or exits. For a great analysis of how to use AVWAP, visit the AlphaTrends channel on Youtube here or you can buy Brian Shannon’s “Anchored VWAP” book on Amazon.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Additionally, the indicator may take a little longer to load than usual. On the rare occasion where it fails to load, you may need to remove the indicator and add it back to your chart. Also, if you do encounter this problem, avoid redrawing your chart while the indicator is being added to the screen.
Acknowledgements
This script uses the MarketHolidays library by @Protervus. Also, for debugging, the JavaScript-style Debug Console by @algotraderdev and the TimeFormattingLibrary by @twingall were invaluable. And, of course, without Brian Shannon's books, videos, and interviews, this indicator would would not be possible.
Universal RPPI Indices & Futures [SS Premium]Hello everyone,
For the much-anticipated indicator release, the universal RPPI for Futures and Indices!
If you follow me, chances are you know this indicator by now, since its the basis of all of my analyses and target prices, but if not, let me introduce you!
What is it?
The RPPI for Indices & Futures is essentially a compendium indicator. It contains hundreds of, just over 100 different math models of various futures and indices.
These models are designed to forecast the current targets on multiple timeframes including:
1. The daily
2. The weekly
3. The monthly
4. The Three Month (for SPY and QQQ ONLY)
5. The 6 Month (for DJI, SPX and USOIL/CLI1! ONLY)
6. The annual (for DJI, SPX and USOIL/CLI1! ONLY)
7. The 3 hour
So I will go over the details of the models within the indicators compendium and how they are produced. If you are not interested, just skip to the next section!
What is a model and how is it produced?
Models are math equations and frameworks that attempt to predict future behavior. They are developed in many ways and through many methods. In this particular indicator, each index and future is unique and has been created in various ways, such as using principles of data smoothing, data interpolation, data substitution and data omission.
All this means is, I have manually adjusted model parameters to correct for rare, outlier events. The outcome is having a more accurate model that is better prepared to predict what you want it to predict.
Now let's get into the indicator use.
The first thing we need to talk about is selecting a model type. Different model types are available on a handful of stocks in the indicator, such as SPY, QQQ, DJI and DIA, and so it is important to explain the difference.
Corrected vs Uncorrected Models (i.e. Low Precision vs High Precision Models)
In the settings menu, you will see the second option that reads "Precision". This is where you have the ability to select the model type.
"High Precision" is a corrected model. It is a model that I have used data manipulation for (like the examples above) to enhance its accuracy.
"Low Precision" is a UNCORRECTED model. These models have undergone no data manipulation and are just raw projections.
Which do you use?
There are only a handful of tickers that have both models, like SPY, GLD1! and DJI (among others). Some tickers perform better with low precision models, others perform better with high precision models.
To know what model works best with which stock, the indicator will tell you. At the bottom of the settings table, simply select "Show Model Data":
Selecting this, you will get a table that looks like this:
It will tell you the available model types and which one works best. For IWM, the high-precision corrected model is best. This is true for QQQ and NQ1! as well. However, for SPY and ES1!, the uncorrected model is actually better:
Sometimes, different models perform better at various levels of precision, for example, high on the monthly but low on the daily.
This is why I have omitted this option for the majority of stocks. I don't want this to be confusing to use. For 90% of the included tickers, I have selected the model of best fit. However, for a few of the very popular and volatile tickers (ES, NQ specifically), I have included the ability to use both.
Rule of Thumb:
The rule of thumb with selecting high vs low, is essentially this:
a) If the market is hugely volatility with major swings intraday that exceed its normal behaviour, switch to the low precesion model. This will not be skewed by the massive swings.
b) If the market is stable, trendy or range bound, but not trending beyond its normal, general behaviour, keep it at high precision.
With that, you will be good to go!
Using the indicator:
The indicator is intended as a standalone indicator. Of course, you can combine other indicators that you like to help you out, but there is a strategy version of this that will be released within the coming days/weeks, as this is intended to be a full strategy in and of itself.
As with the universal forecaster, you are given threshold levels that are labelled "Bullish Condition" and "Bearish Condition", a break and hold of the "Bullish Condition" and it is a long to the high targets. Inverse for the bearish condition.
In addition to these conditionals, the indicator also provides you with a high probability retracement level. These are available on the weekly, monthly and higher timeframes. A special moving retracement level is available for SPY only, however it moves based on the PA to give you a sort of POC.
Testing Model Performance:
It is possible to see model performance. At the bottom of the settings menu, select the option to "Show Demographic Data". You need to be sure you are on the chart of the selected timeframe.
This is ES1! on the daily timeframe. It shows you the demographics, i.e. the extent targets are hit, the extent that the high prob retracement targets are missed, the extent that ES closes in and out of its daily range.
This is very valuable information. This table is essentially saying there is only a 10% chance that ES will close above its range and a 9% chance ES closes below its range. This means, that the most ideal setups are a move outside of its range!!
You can view it on all timeframes. If your chart isn't aligned with the lookback, you will get a warning sign:
Misc Functions:
Show price accumulation:
There is an option to toggle on price accumulation. It will show you the amount of accumulation in each of the ranges:
This will show where the accumulation of price rests in relation to the targets.
Autoregression Assessment:
You can have the indicator plot an autoregressive trendline of the expected stock trajectory. You can select the forecast length and it will plot the direction it suspects the stock will go:
Show Standard Deviation:
In the menu, you can toggle on the show standard deviation function. This will plot the standard deviation that each price rests at. The default timeframe for standard deviation is the daily. If you are looking at the weekly, please select the weekly timeframe.
This is helpful because you can see which targets are likely based on where the standard deviation rests. In the above example, a move to the low range would be a move to -2 standard deviations and beyond. This is not something that a ticker would normally do in general circumstances.
FAQ Table:
There is also an option to display an FAQ table. This will show you model revisions and pending revision dates. This will allow you to see when each model was last updated and when new updates will be pushed:
Which models does this contain?
The indicator contains models for the following stocks:
SPY
QQQ
DIA
DJI
ES1!
SPX
NQ1!
NDX
SOXX
IWM
RTY
GCL1! (Gold)
CL1! / USOIL (Oil)
XLE
XLF
YM1!
And some more are in the works (like JETS).
NOTE: Feel free to leave a comment of future ones you would like to see!
The indicator will automatically select the model for whichever ticker you are on.
Some models are cross-compatible, such as CL1! and USOIL, but the indicator is programmed to recognize those that are cross-compatible and auto-select those models.
From there, you just need to select the timeframe you wish to view!
And that is the indicator! I know very wordy explanation but wanted to cover all basis on the indicator so you can be well prepared!
As always, leave your questions, and comments below, and safe trades!
BTB - Bitcoin (BTC) Top and Bottom Indicator [Logue]This indicator is a combination of multiple on-chain, seasonality, and momentum BTC macro cycle bottom and top indicators. The BTB detects confluence of multiple indicators to select bottoms and tops of each BTC macro cycle. More detail can be seen on the BTI and BBI indicators. The BTB indicators are:
1) Cumulative Value Days Destroyed (CVDD) - The CVDD is the ratio of the cumulative value of coin days destroyed in USD and the market age (in days). When the BTC price goes below this value, BTC is generally considered to be undervalued. The bottom indicator is triggered when the BTC price is below the CVDD or above the CVDD extension. Because the "strength" of the BTC tops has decreased over the cycles, a logarithmic function for the extension was created by fitting past cycles as log extension = slope * time + intercept.
2) Net Unrealized Profit Loss (NUPL) - The NUPL measures if past transfers of BTC are currently in an unrealized profit or loss state. Historically positive or negative NUPL values indicate an over/undervaluation of the BTC network. The bottom indicator is triggered when the NUPL is below -15 and the top is triggered above an adjusted value based on decreasing "strength" of BTC tops. A decreasing linear function (trigger = slope * time + intercept) was fit to past cycle tops and used to determine overvaluation.
3) Market Value-Realized Value Z-score (MVRV-Z) - The MVRV-Z measures the value of the bitcoin network by comparing the market cap to the realized value and dividing by the standard deviation of the market cap (market cap – realized cap) / std(market cap)). The bottom indicator is triggered when the MVRVZ value is below 4 and tops are above 55.
4) Puell multiple (PUELL) - PUELL is the ratio between the daily coin issuance in USD and its 365-day moving average. This multiple helps to measure miner profitability. Extremes in PUELL may indicate tops or bottoms. The bottom indicator triggers when the PUELL is below 0.4 and top is triggered above 3.33.
5) Calendar Seasonality Index (CSI) - The CSI takes advantage of the consistency of BTC cycles. Past cycles have formed macro bottoms every four years between December and February which triggers the bottom indicator. Past cycles have formed macro tops every four years between October 21st and December 12th, triggering the top indicator.
6) Halving Seasonality Index (HSI) - Past cycles have formed macro bottoms approximately 948 days after each halving, triggering this indicator at set times, 948 +- 45 days, after each halving. Aside from the first halving, cycles have formed macro tops approximately 538 days after each halving. Therefore, this indicator triggers at 538 +- 10 days after each halving.
7) Polylog Regression (PLR) - The BTC cycle tops and bottoms were separately fit using a polynomial regression. The shape of the regression into the future was estimated and a fit was used to estimate when tops and bottoms are near. This triggers when the BTC price is inside or below the lower polylog regression channel and when the BTC price is inside or above the upper polylog regression channel.
8) Realized Price (RP) - The RP is summation of the value of each BTC when it last moved divided by the total number of BTC in circulation. This gives an estimation of the average "purchase" price of BTC. This indicator triggers when the BTC price is below the realized price or above an RP extension. Because the "strength" of the BTC tops has decreased over the cycles, a logarithmic function for the extension was created by fitting past cycles as log extension = slope * time + intercept.
9) Plus Directional Movement (PDM) weekly index - The PDM is a momentum indicator that measures the strength of a trend in the positive direction. The weekly PDM is calculated by determining the difference between the week's high price and the previous week's high price smoothed by a 14-period moving average. Higher PDM values indicate higher momentum in the positive (higher price) direction. Based on decreasing "strength" of BTC tops, a decreasing linear function (trigger = slope * time + intercept) was fit to past cycle tops for this indicator. This indicator is triggered when the PDM is above the trigger value or below 14.
10) Logarithmic Moving Average Convergence Divergence (LMACD) weekly indicator - The LMACD is a momentum indicator that measures the strength of a trend using the difference of the log values of the 12-period and 26-week exponential moving averages. Larger positive numbers indicate a larger positive momentum. Based on decreasing "strength" of BTC tops, a decreasing linear function (trigger = slope * time + intercept) was fit to past cycle tops for this indicator. This indicator is triggered when the PDM is above the trigger value or below -0.06.
11) Hash Rate Capitulation (HRC) - The HRC indicator measures the rate of change of the hash rate. Steadily increasing hash rate is a sign of health of the bitcoin network. This indicator uses moving averages (20- and 100-day) of the hash rate to indicate when a decrease in the rate of change is has occurred (i.e., the 20-day MA goes below the 100-day MA). This indicator triggers when the 20-day moving average of the hash rate going below the 100-day moving average.
12) Pi-cycle Top (PCT) - The PCT indicator is simply the cross of the 111-day moving average above a 2x multiple of the 350-day moving average of the BTC price. While there is no fundamental reasoning behind why this works, it has worked to indicate previous bitcoin tops by taking advantage of the cyclicality of the BTC price and measurement overextension of BTC price. This indicator triggers when the fast moving average (111-day) crosses above the 2x multiple of the slow moving average (350-day).
13) Transaction Fee Spike (TFS) - Transaction fees on the bitcoin network can signal a mania phase when they increase well above historical values. This mania phase may indicate we are near a top in the BTC price. The daily transaction fee total in USD is divided by the number of daily transactions to calculate the average transaction fee paid on the bitcoin network. The transaction fees increasing above $40 trigger this indicator.
The on-chain indicators (CVDD, NUPL, MVRV-Z, PUELL, RP, and HRC) work together to give a health check of the BTC price as compared to its network health. The seasonality indicators (CSI, HSI, and PLR) work together to map the macro cycles of BTC. The momentum indicators (PDM and LMACD) give the strength of the BTC trend. Each of these indicators is weighted evenly when selected and if over 45% of the indicators are triggering on a candle, the overall BTB indicator prints a clear signal. This signal is meant to indicate when the macro cycle bottom or top is likely hit or is near.
You are able to deselect any indicator you do not wish to have considered and select it back again. To prepare you for indicators triggering, the BTB shows dark blue or dark green when the indicator is close to triggering. The background color of the BBI becomes blue when at least 30% of the indicators considered are triggering and it becomes green when the BBI fully triggers. The BLX is most appropriate chart, but the indicator works on all BTC/USD charts. Because of the limitations of TradingView, the indicator doesn't work on time frames lower than 4 h or over one week.
Use this indicator at your own risk. I make no assertions that this indicator will work to detect any future bottom or top since we all know that past performance is no guarantee of future results.
IMGLite - V1.0IMG indicators use five sequential stages to analyse price and alert users to potential Trade Setups using various Price Action Concepts as detailed below:
a. Identify Higher Timeframe Market Structure and Points of Interest (HTF-POIs)
b. Calculate position size based on your risk appetite, fees and account leverage
c. Alert you to risk managed trade setups at enabled HTF-POIs
d. Alert you to trade exits based on your set criteria
e. Provide Additional Alerts such as Higher Timeframe SFPs and Market Structure Breaks that act as potential early warnings that a trade setup may be forming
a. HTF POIs Available with IMG LITE:
1. HTF Market Structure Range Highs and Lows
2. HTF Order Blocks
3. HTF Breakers
4. HTF FVGs
1. Higher Timeframe Market Structure Range High and Low through Multiple Timeframe Analysis:
Market Structure can be defined using several techniques. The IMG indicators employ the Close through High/Low technique, which necessitates a candle to close through a structural level to validate a structural break and designate a new range.
Example: H12 Market Structure visualisation on a H12 Chart with annotations:
By selecting a particular Market Structure timeframe in the settings, the indicator immediately illustrates both current and historical market structures for the chosen timeframe across all subordinate timeframes, subject to the limitations of your Tradingview subscription.
Example: H12 Market Structure visualisation on a H1 Chart with annotations:
2. Higher Timeframe Order Blocks
An Order Block represents the last candle of the opposite direction preceding a Market Structure Break. For instance, a bullish Order Block is identified as the final bearish candle leading to a bullish market structure break, and vice versa for bearish Order Blocks.
Example: H12 OB visualisation on a H12 Chart with annotations:
When activated, the indicator will highlight the Higher Timeframe Order Blocks responsible for a Market Structure Break on all subordinate timeframes relative to the chosen Market Structure Timeframe.
Note: if multiple OBs exist, the indicator will display the OB closest to the new range extreme
Example: H12 OB visualisation on a H1 Chart with annotations:
Higher Timeframe Breakers
A Breaker Block is identified as the most recent Order Block that has been breached by price, leading to an opposite Market Structure Break. For example, a bullish Breaker Block is the last bearish Order Block that price has passed through, confirming a bullish structural break, and the inverse is true for bearish Breakers.
Example: H12 Breaker visualisation on a H12 Chart with annotations:
Once enabled, the system will display Higher Timeframe Breaker Blocks after an opposite Market Structure Break is confirmed on all subordinate timeframes.
Example: H12 Breaker visualisation on a H1 Chart with annotations:
Higher Timeframe Fair Value Gaps (FVGs)
A Fair Value Gap is a concept used by price action traders to identify market inefficiencies, where buying and selling are not balanced. It appears on a chart as a triple-candle pattern, with a large candle flanked by two others whose highs and lows do not overlap with the large candle, creating a gap. This gap often attracts the price towards it before the market resumes its previous direction.
Example of the indicator displaying a Higher Timeframe’s FVGs on a Lower Timeframe (LTF) chart:
-The upper chart labelled H12/H12 is the indicator displaying H12 Structure and FVGs on a H12 chart.
-The lower chart labelled H12/H1 is the indicator displaying H12 FVGs on a H1 chart
b. Risk Management and Position Sizing:
The System will automatically calculate position size based on the account size, max leverage and risk appetite details input in settings. Calculated trade details are included in the Tradingview Alerts as well as interactive labels on the charts.
Details include but are not limited to:
Trade Timeframe
Side: Long/Short
Type: Limit/Market
Position Size in $ and Units
Lot sizes if applicable
Trade Risk %
Take Profit Level
Entry Price
Stoploss Price
c. Trade Setup Types Available with IMG LITE:
The system will alert you to potential trade setups at these HTF POIs: .
1. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
2. Lower Timeframe (LTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at enabled HTF POIs
1. HTF Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
A Swing Failure Pattern (SFP) is a technical analysis concept used in trading to identify potential reversals in price trends. It occurs when the price attempts to surpass a previous high or low but fails to sustain that level, indicating a possible change in market direction. There are multiple methods to define a SFP but this indicator uses the failure to close through a Key Level. When confirmed, HTF SFPs will be displayed on-screen and an alert will fire if enabled.
Example: H12 SFPs at Range Extremes on a H1 Chart:
Alerts to Enter at Lower Timeframe MSBs
When enabled, a potential trade setup label and alert will generate when a HTF SFP is confirmed at a Range Extreme followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are agnostic to current Market Structure bias and will generate at both extremes.
Signals will alert you to enter a Limit Entry at the Lower Timeframe MSB Level
2. LTF Swing Failure followed by a LTF MSB at Range Extremes at enabled HTF POIs
The system will alert you to a lower timeframe setup if these conditions are met inside enabled HTF POIs (OBs / Breakers / FVGs):
- LTF SFP
- LTF MSB
Signals will alert you to enter a Limit Entry at the Lower Timeframe MSB Level
Example:
d. Trade Exit Types Available with IMG Lite:
Exit alerts will trigger at user defined R:R
Example: H12 SFPs and Potential Trade Setups with Exits at fixed 2R on a H1 Chart:
e. IMG LITE Alerts Overview
Higher Timeframe Market Structure Breaks (HTF MSBs)
The system provides notifications of confirmed Market Structure Breaks based on the selected Higher Timeframe Market Structure Timeframe. For instance, selecting a weekly structure will trigger an alert when weekly price closes through a weekly structural level, and the same logic applies to other timeframes like D, H12, H4, H1 etc.
The system provides notifications of:
1. Confirmed HTF Market Structure Breaks
2. Confirmed HTF SFPs at Range Extremes
3. Potential Trade Setups (defined above)
4. Fixed R Trade Exits
To enable alerts, right-click on the indicator and select “Add Alert on IMG ...”. You may customise the alert name as desired and then click 'Create' to finalise the alert setup.
General Note:
There is no system, indicator, algorithm, or strategy that can provide absolute certainty in predicting market movements. Use trading indicators as a tool to assist with trading decisions; manage your risk wisely.
Stay safe and Happy Trading!
Price Action Toolkit | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Price Action Toolkit indicator! Price Action Toolkit integrates key level strategy , traditional supply-demand analysis , and market structures to help traders in their decisions. Now with features that are available to use in multiple timeframes!
Features of the new Price Action Toolkit indicator :
Volumized Fair Value Gaps (FVGs)
Volumized Order & Breaker Blocks
Identification of Market Structures
Equal Highs & Lows
Buyside & Sellside Liquidity
Premium & Discount Zones
MTF Highs & Lows (Daily, Weekly, Monthly, Pre-Market)
Customizable Settings
📌 HOW DOES IT WORK ?
We believe that the analytical elements that are within this indicator work best when they co-exist with each other on the chart. Trading often requires taking multiple elements into consideration for better accuracy on market analysis. Thus, we combined some of the useful strategies in one indicator for ease of use.
1. Volumized Fair Value Gaps
Fair value gaps often occur when there is an imbalance in the market, and can be spotted with a specific formation on the chart.
The volume when the FVG occurs plays an important role when determining the strength of it, so we've placed two bars on the FVG zone, indicating the high & low volumes of the FVG. The high volume is the total volume of the last two bars on a bullish FVG, while the low volume is - of the FVG. For a bearish FVG, the total volume of the last two bars is the low volume. The indicator can also detect FVGs that exist in other timeframes than the current chart.
2. Volumized Order Blocks
Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific formations on the chart.
The high & low volume of order blocks should be taken into consideration while determining their strengths. The determination of the high & low volume of order blocks are similar to FVGs, in a bullish order block, the high volume is the last 2 bars' total volume, while the low volume is the oldest bar's volume. In a bearish order block scenerio, the low volume becomes the last 2 bars' total volume.
3. Volumized Breaker Blocks
Breaker blocks form when an order block fails, or "breaks". It is often associated with market going in the opposite direction of the broken order block, and they can be spotted by following order blocks and finding the point they get broken, ie. price goes below a bullish order block.
The volume of a breaker block is simply the total volume of the bar that the original order block is broken. Often the higher the breaking bar's volume, the stronger the breaker block is.
4. Market Structures
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
5. Equal Highs & Lows
Equal Highs & Lows occur when there is a significant amount of difference between a candle's close price and it's high / low value, and it happens again in a specific range. EQH and EQL usually mean there is a resistance that blocks the price from going further up / down.
6. Buyside & Sellside Liquidity
Buyside & Sellside Liquidity zones are where most traders place their take-profits and stop-losses in their long / short positions. They are spotted by using high & low pivot points on the chart.
7. Premium & Discount Zones
The premium zone is a zone that is over the fair value of the asset's price, and the discount zone is the opposite. They are formed by the latest high & low pivot points.
8. MTF Highs / Lows
MTF Highs / Lows are actually pretty self-explanatory, you can enable / disable Daily, Weekly, Monthly & Pre-Market Highs and Lows.
🚩UNIQUENESS
Our new indicator offers a comprehensive toolkit for traders, combining multiple analytical elements with customizable settings to aid in decision-making across different market conditions and timeframes. The volumetric information of both FVGs and Order & Breaker Blocks will be present in your chart to serve you greater detail about them. The indicator also efficiently identifies market structures, liquidity zones and premium & discount zones to give you an insight about the current state of the market. And finally with the use of multiple timeframes , you can easily take a look at the bigger picture. We recommend reading the "How Does It Work" section of the descripton to get a better understanding about how this indicator is unique to others.
⚙️SETTINGS
1. General Configuration
Show Historic Zones -> This will show historic Fair Value Gaps, Order & Breaker Blocks and Sellside & Buyside liquidities which are expired.
2. Fair Value Gaps
Enabled -> Enables / Disables Fair Value Gaps
Volumetric Info -> The volumetric information of the FVG Zones will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Order Blocks
Enabled -> Enables / Disables Order Blocks
Volumetric Info -> The volumetric information of the Order Blocks will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for Order Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
4. Breaker Blocks
Enabled -> Enables / Disables Breaker Blocks
Volumetric Info -> The volumetric information of the Breaker Blocks will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for Breaker Block Invalidation.
5. Timeframes
You can set and enable / disable up to 3 timeframes. Note that only higher timeframes than the current chart will work.
6. Market Structures
Break Of Structure ( BOS ) -> If the current structure of the market is broken in a bullish or bearish direction, it will be displayed.
Change Of Character ( CHoCH ) -> If the market shifts into another direction, it will be displayed.
Change Of Character+ ( CHoCH+ ) -> This will display stronger Change Of Characters if enabled.
7. Equal Highs & Lows
EQH -> Enables / Disables Equal Highs.
EQL -> Enables / Disables Equal Lows.
ATR Multiplier (0.1 - 1.0) -> Determines the maximum difference between highs / lows to be considered as equal. Lower values will result in more accurate results.
8. Buyside & Sellside Liquidity
Zone Width -> Determines the width of the liquidity zones, 1 = 0.025%, 2 = 0.05%, 3 = 0.1%.
9. Premium & Discount Zones
Enabled -> Enables / Disables Premium & Discount Zones.
10. MTF Highs / Lows
You can enable / disable Daily, Weekly, Monthly & Pre-Market Highs and Lows using this setting. You can also switch their line shapes between solid, dashed and dotted.
WRESBAL PlusWRESBAL Plus is an improved way of looking at the same data that drives WRESBAL, which is a commonly used series on FRED.
WRESBAL is a weekly average of combined balances on FRED using inputs that are weekly averages in some cases. For example the Treasury General Account has multiple FRED series including WDTGAL (wednesday level) and WTREGEN (wednesday weekly average) There are data sets that are tracking the same metrics which are updated daily such as RRPONTSYD as opposed to WLRRAL.
This situation leads to an opportunity to create a new and improved WRESBAL with the data that is updated more frequently. WRESBAL Plus solves the problem of waiting for weekly averages to update trends.
WRESBAL plus combines data sets from FRED that are updated more frequently and are the basis for the original WRESBAL equation. WRESBAL Plus offers a signal that predicts where WRESBAL will go, and this is important when determining the direction of asset prices as they relate to liquidity. One example of an asset that closely follows WRESBAL is Bitcoin.
ayogetit Trades™ Dynamic 5DMAThe 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.
MTF External Range Liquidity - SMC IndicatorsThe Multi-Timeframe External Range Liquidity highlights possible “Key Liquidity Zones” above and below Short-Term highs and lows. Allowing for the filtering out of shorter-term swings and easily identifying levels for possible “liquidity runs” or “stop runs”.
Purged Liquidity
This shows areas where the price has already reached above previous key highs or below previous key lows. Recognizing “Purged Liquidity” areas is useful for historical analysis and understanding prior liquidity-driven movements.
Open Liquidity
These mark possible or potential Open Liquidity Zones where the price might reach above or below short-term key highs and lows.
Multi-Timeframe Analysis
The Multi Timeframe Feature allows traders to have all “key Liquidity Levels” from higher and lower timeframes relative to the current timeframe. (Weekly and down to the 1-Minute Chart) while trading in real-time allowing the trader to keep the higher time frame “levels” in mind when trading on lower time frames.
1W BSL & 1W SSL indicate levels of transposed from the Weekly timeframe to the Daily timeframe or lower.
1D BSL & 1D SSL indicate levels of transposed from the Daily timeframe to the 4H timeframe or lower.
4H BSL & 4H SSL indicate levels of transposed from the 4H timeframe to the 1H timeframe or lower.
1H BSL & 1H SSL indicate levels of transposed from the 1H timeframe to the 15M timeframe or lower.
15M BSL & 15M SSL indicate levels of transposed from the 15M timeframe to the 5M timeframe or lower.
5M BSL & 5M SSL indicate levels of transposed from the 5M timeframe to the timeframes lower than 5M.
How This Can Help with Analysis
Timing Entries
This tool can be used to look for possible entry levels by looking at where the last run on liquidity (Purged Liquidity) above a previous key high or low was. The trader would use this indicator by waiting until the liquidity is purged before looking for a possible trade setup.
This helps in waiting for entries and may avoid or reduce the number of entries where the trade would get stopped due to an early entry.
Setting Possible Targets
This indicator can be used to look for higher time frame “Open Liquidity” key levels above short-term highs or below short-term lows as potential targets.
Other Key Features
Alerts on selected time frame “key levels”
Choose to show and hide levels on any timeframe.
Choose the number of the Purged and Open Liquidity desired to show on the chart.
Highlights the Daily, Weekly, and Monthly Highs and Lows.
CAMARILLA PIVOTSThis indicator is based on the Pivot study. Traders will be able to plot CPR, Standard floor pivots as well as Camarilla Pivots on multiple timeframes.
Why pivots from multiple timeframes are relevant and included in this one indicator?
We can analyse pivots on multiple timeframes for different trading setups. As in, Daily floor pivots are best suited for analysing the market trend for Day trading. Similarly, Weekly and Monthly floor pivots can be analysed for Swing and positional trading entries. Whereas yearly pivot is best suited for trend analysis for investment purpose.
What is the relevance of plotting tomorrow's pivot level in advance?
Pivot are calculated based on the price happened on a previous day. And hence trader can plot tomorrow pivots in advance to shortlist stocks for tomorrow's trading session.
TimeFrames Available to traders are –
- Auto (1H)
1. Daily
2. Weekly
3. Monthly
4. Quarterly
5. Yearly
A) Daily Pivots
Present Day –
1. Trader can plot Daily CPR
2. Trader can plot Daily R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Daily S1, S2, S3 and S4 pivot support levels
4. Trader can plot Daily Camarilla levels
Future Day –
1. Trader can plot Tomorrow CPR
2. Trader can plot Tomorrow R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Tomorrow S1, S2, S3 and S4 pivot support levels
4. Trader can plot Tomorrow Camarilla levels
5. Previous Day High and Low
B) Weekly Pivots
Present Week –
1. Trader can plot Present week CPR
2. Trader can plot Present week R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Present week S1, S2, S3 and S4 pivot support levels
4. Trader can plot Present week Camarilla levels
Next Week –
1. Trader can plot Next week CPR
2. Trader can plot Next week R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Next week S1, S2, S3 and S4 pivot support levels
4. Trader can plot Next week Camarilla levels
5. Previous Week High and Low
C) Monthly Pivots
Present Month –
1. Trader can plot Present Month CPR
2. Trader can plot Present Month R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Present Month S1, S2, S3 and S4 pivot support levels
4. Trader can plot Present Month Camarilla levels
Next Month –
1. Trader can plot Next Month CPR
2. Trader can plot Next Month R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Next Month S1, S2, S3 and S4 pivot support levels
4. Trader can plot Next Month Camarilla levels
5. Previous Month High and Low
EXTREME REVERSAL SETUP:
This is by far my favorite setup in the lot. Classic Mean Reversion setup.
The logic, as explained in the book, goes like this,
1. The first bar of the pattern is about two times larger than the average size of the candles in the lookback period.
2. The body of the first bar of the pattern should encompass more than 50 percent of the bar’s total range, but usually not more than 85 percent.
3. The second bar of the pattern opposes the first.
The setup works extremely well in high beta stocks like Vedanta VEDL.
Feel free to play with the settings in order to better align this pattern with your favorite stock.
OUTSIDE REVERSAL SETUP:
My second favorite setup, it is quite good at catching intraday trends.
Here’s the logic,
1. The engulfing bar of a bullish outside reversal setup has a low that is below the prior bar’s low and a close that is above the prior bar’s high. Reverse the conditions for bearish outside reversal.
2. The engulfing bar is usually 5 to 25 percent larger than the size of the average bar in the lookback period.
Settings for this pattern simply reflect these conditions. Feel free to modify them as you wish.
DOJI REVERSAL SETUP:
Doji candles signify market indecision and this pattern tries to profit off these market conditions.
Logic:
1. The open and close price of the doji should fall within 10 percent of each other, as measured by the total range of the candlestick.
2. For a bullish doji, the high of the doji candlestick should be below the ten-period simple moving average. Vice-versa for bearish.
3. For a bullish doji setup, one of the two bars following the doji must close above the high of the doji. Vice-versa for bearish.
Feel free to modify the settings and optimize according to the stock you are trading.
Don't optimize too much :)
This pattern works brilliantly well on larger intraday timeframes, like 15m/30m/60m.
This pattern also has a higher propensity to give false indications than the two described above.
Doji reversal typically helps to catch larger trend reversals.
WICK REVERSAL SETUP:
This pattern tries to capture candlesticks with large wick sizes, as they often indicate trend reversal when coupled with significant support and resistance levels.
Logic:
1. The body is used to determine the size of the reversal wick. A wick that is between 2.5 to 3.5 times larger than the size of the body is ideal.
2. For a bullish reversal wick to exist, the close of the bar should fall within the top 35 percent of the overall range of the candle.
3. For a bearish reversal wick to exist, the close of the bar should fall within the bottom 35 percent of the overall range of the candle.
This pattern must always be coupled with important support resistance levels, else there will be a lot of false signals.
This indicator helps you identify market structure by plotting swing highs and lows (HH, LH, HL, LL).
Indicator Settings Overview
SWING LENGTH
The number of leftbars and rightbars when searching for swing points. The lower the value, the more swing points are shown and the higher the value, the less swing points are shown. I suggest adjusting it to fit your style and when switching between different timeframes.
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.
Expected Move by Option's Implied Volatility High Liquidity
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility.
Symbols in range: This script will display Expected Move data for Symbols with high option liquidity.
Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that takes place every Saturday following the close of the markets on Friday.
In the provided script, several boxes are created and plotted on a price chart to represent the expected price moves for various timeframes.
These boxes serve as visual indicators to help traders and analysts understand the expected price volatility.
Definition of Expected Move: Expected Move refers to the anticipated range within which the price of an underlying asset is expected to move over a specific time frame, based on the current implied volatility of its options. Calculation: Expected Move is typically calculated by taking the current stock price and applying a multiple of the implied volatility. The most commonly used multiple is the one-standard-deviation move, which encompasses approximately 68% of potential price outcomes.
Example: Suppose a stock is trading at $100, and the implied volatility of its options is 20%. The one-standard-deviation expected move would be $100 * 0.20 = $20.
This suggests that there is a 68% probability that the stock's price will stay within a range of $80 to $120 over the specified time frame. Usage: Traders and investors use the expected move as a guideline for setting trading strategies and managing risk. It helps them gauge the potential price swings and make informed decisions about buying or selling options.There is a 68% chance that the underlying asset stock or ETF price will be within the boxed area at option expiry. The data on this script is updating weekly at the close of Friday, calculating the implied volatility for the week/month/year based on the "at the money" put and call options with the relevant expiry. This script will display Expected Move data for Symbols within the range of JBL-NOTE in alphabetical order.
In summary, implied volatility reflects market expectations about future price volatility, especially in the context of options. Expected Move is a practical application of implied volatility, helping traders estimate the likely price range for an asset over a given period. Both concepts play a vital role in assessing risk and devising trading strategies in the options and stock markets.
Expected Move by Option's Implied Volatility Symbols: EAT - GBDC
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility.
Symbols in range: This script will display Expected Move data for Symbols within the range of EAT-GDBC in alphabetical order.
Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that takes place every Saturday following the close of the markets on Friday.
In the provided script, several boxes are created and plotted on a price chart to represent the expected price moves for various timeframes.
These boxes serve as visual indicators to help traders and analysts understand the expected price volatility.
Definition of Expected Move: Expected Move refers to the anticipated range within which the price of an underlying asset is expected to move over a specific time frame, based on the current implied volatility of its options. Calculation: Expected Move is typically calculated by taking the current stock price and applying a multiple of the implied volatility. The most commonly used multiple is the one-standard-deviation move, which encompasses approximately 68% of potential price outcomes.
Example: Suppose a stock is trading at $100, and the implied volatility of its options is 20%. The one-standard-deviation expected move would be $100 * 0.20 = $20.
This suggests that there is a 68% probability that the stock's price will stay within a range of $80 to $120 over the specified time frame. Usage: Traders and investors use the expected move as a guideline for setting trading strategies and managing risk. It helps them gauge the potential price swings and make informed decisions about buying or selling options. There is a 68% chance that the underlying asset stock or ETF price will be within the boxed area at option expiry. The data on this script is updating weekly at the close of Friday, calculating the implied volatility for the week/month/year based on the "at the money" put and call options with the relevant expiry.
In summary, implied volatility reflects market expectations about future price volatility, especially in the context of options. Expected Move is a practical application of implied volatility, helping traders estimate the likely price range for an asset over a given period. Both concepts play a vital role in assessing risk and devising trading strategies in the options and stock markets.
Expected Move by Option's Implied Volatility Symbols: CLFD-EARN This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility.
Symbols in range: This script will display Expected Move data for Symbols within the range of CLFD - EARN in alphabetical order.
Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that takes place every Saturday following the close of the markets on Friday.
In the provided script, several boxes are created and plotted on a price chart to represent the expected price moves for various timeframes.
These boxes serve as visual indicators to help traders and analysts understand the expected price volatility.
Definition of Expected Move: Expected Move refers to the anticipated range within which the price of an underlying asset is expected to move over a specific time frame, based on the current implied volatility of its options. Calculation: Expected Move is typically calculated by taking the current stock price and applying a multiple of the implied volatility. The most commonly used multiple is the one-standard-deviation move, which encompasses approximately 68% of potential price outcomes.
Example: Suppose a stock is trading at $100, and the implied volatility of its options is 20%. The one-standard-deviation expected move would be $100 * 0.20 = $20.
This suggests that there is a 68% probability that the stock's price will stay within a range of $80 to $120 over the specified time frame. Usage: Traders and investors use the expected move as a guideline for setting trading strategies and managing risk. It helps them gauge the potential price swings and make informed decisions about buying or selling options. There is a 68% chance that the underlying asset stock or ETF price will be within the boxed area at option expiry. The data on this script is updating weekly at the close of Friday, calculating the implied volatility for the week/month/year based on the "at the money" put and call options with the relevant expiry.
In summary, implied volatility reflects market expectations about future price volatility, especially in the context of options. Expected Move is a practical application of implied volatility, helping traders estimate the likely price range for an asset over a given period. Both concepts play a vital role in assessing risk and devising trading strategies in the options and stock markets.
Expected Move by Option's Implied Volatility Symbols: B - CLF
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility.
Symbols in range: This script will display Expected Move data for Symbols within the range of B - CLF in alphabetical order.
Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that takes place every Saturday following the close of the markets on Friday.
In the provided script, several boxes are created and plotted on a price chart to represent the expected price moves for various timeframes.
These boxes serve as visual indicators to help traders and analysts understand the expected price volatility.
Definition of Expected Move: Expected Move refers to the anticipated range within which the price of an underlying asset is expected to move over a specific time frame, based on the current implied volatility of its options. Calculation: Expected Move is typically calculated by taking the current stock price and applying a multiple of the implied volatility. The most commonly used multiple is the one-standard-deviation move, which encompasses approximately 68% of potential price outcomes.
Example: Suppose a stock is trading at $100, and the implied volatility of its options is 20%. The one-standard-deviation expected move would be $100 * 0.20 = $20.
This suggests that there is a 68% probability that the stock's price will stay within a range of $80 to $120 over the specified time frame. Usage: Traders and investors use the expected move as a guideline for setting trading strategies and managing risk. It helps them gauge the potential price swings and make informed decisions about buying or selling options. There is a 68% chance that the underlying asset stock or ETF price will be within the boxed area at option expiry. The data on this script is updating weekly at the close of Friday, calculating the implied volatility for the week/month/year based on the "at the money" put and call options with the relevant expiry.
In summary, implied volatility reflects market expectations about future price volatility, especially in the context of options. Expected Move is a practical application of implied volatility, helping traders estimate the likely price range for an asset over a given period. Both concepts play a vital role in assessing risk and devising trading strategies in the options and stock markets.
Expected Move by Option's Implied Volatility Symbols: A - AZZ
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility.
Symbols in range: This script will display Expected Move data for Symbols within the range of A - AZZ in alphabetical order.
Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that takes place every Saturday following the close of the markets on Friday.
In the provided script, several boxes are created and plotted on a price chart to represent the expected price moves for various timeframes.
These boxes serve as visual indicators to help traders and analysts understand the expected price volatility.
Definition of Expected Move: Expected Move refers to the anticipated range within which the price of an underlying asset is expected to move over a specific time frame, based on the current implied volatility of its options. Calculation: Expected Move is typically calculated by taking the current stock price and applying a multiple of the implied volatility. The most commonly used multiple is the one-standard-deviation move, which encompasses approximately 68% of potential price outcomes.
Example: Suppose a stock is trading at $100, and the implied volatility of its options is 20%. The one-standard-deviation expected move would be $100 * 0.20 = $20.
This suggests that there is a 68% probability that the stock's price will stay within a range of $80 to $120 over the specified time frame. Usage: Traders and investors use the expected move as a guideline for setting trading strategies and managing risk. It helps them gauge the potential price swings and make informed decisions about buying or selling options. There is a 68% chance that the underlying asset stock or ETF price will be within the boxed area at option expiry. The data on this script is updating weekly at the close of Friday, calculating the implied volatility for the week/month/year based on the "at the money" put and call options with the relevant expiry.
In summary, implied volatility reflects market expectations about future price volatility, especially in the context of options. Expected Move is a practical application of implied volatility, helping traders estimate the likely price range for an asset over a given period. Both concepts play a vital role in assessing risk and devising trading strategies in the options and stock markets.
PbFWhat kind of traders/investors are we?
We are trend followers, always on the lookout for the next big move in the market. Our scripts are meticulously crafted for higher timeframes (daily, weekly, monthly) aiming to capture the large market trends.
What does the PbF script do?
The PbF script simplifies the complex world of investing by colour-coding bars to indicate the trend direction. Green bars signify a bullish trend, red indicates a bearish trend, and orange is a precursor to potential pullback opportunities. This visual representation ensures investors can quickly gauge the market's direction and act accordingly.
How is the PbF produced?
The PbF script employs simple moving averages (SMA) as its backbone. Bars positioned above both the SMAs turn green, indicating a bullish trend. Conversely, bars below these SMAs turn red, signalling a bearish trend. When a bar oscillates between the SMAs, it turns orange, hinting at a potential pullback scenario.
What is the best timeframe to use the script?
The PbF script is designed for the weekly timeframe. By focusing on this timeframe, traders can pinpoint pullback positions, ensuring they are in sync with long-term market trends.
What makes the PbF script unique?
The challenges of identifying the onset, progression, and culmination of trends are well-known in the investing community. The PbF script addresses these challenges head-on.
First and foremost:
The PbF remains orange during extended periods of pullbacks and will only change colour when the pullback has ended.
The filter also highlights an earlier entry from the previous bar if the market continues to pull back against the long-term trend, allowing you to adjust your entry as required.
Designed explicitly for the weekly timeframe, the PbF also offers investors:
A clear roadmap to discern the beginning, middle, and end of market trends.
The flexibility to exercise discretion when entering pullback positions.
In essence, the PbF script is a trend filter that ensures investors remain aligned with long-term market trends, capitalising on pullbacks as the trend develops.
Quarterly Cycles [Daye's Theory]This is entirely based on quarters theory by Daye (@traderdaye in Twitter). I'm merely the creator of the indicator and full credits for the underlying concept goes to Daye.
The idea is to split year, month, week and day into quarters at specific times which lead to PO3 (Accumulation-Manipulation-Distribution) cycles within those quarters.
They present in one of these two forms:
Q1. (A)ccumulation - Consolidation
Q2. (M)anipulation - Judas Swing
Q3. (D)istribution - Low Resistance Liquidity Run
Q4. (X) - Continuation/Reversal of previous quarter
(OR)
Q1. (X) - Continuation/Reversal of previous quarter
Q2. (A)ccumulation - Consolidation
Q3. (M)anipulation - Judas Swing
Q4. (D)istribution - Low Resistance Liquidity Run
As of now, the indicator assumes everything as AMDX, but if some clever idea comes in the future, I'll try to implement XAMD as well.
Similar to True Day Opens, there are True Monthly Opens, True Weekly Opens and True Session Opens, all of which form during the second quarters of those periods, all of which are marked by the indicator. For timeframes in H1 and below, the indicator shows weekly, daily and session quarter cycle phases. For higher timeframes, it shows yearly, monthly and weekly cycle phases.
[TTI] Jon Tr3ndy ATR Label📜 ––––HISTORY & CREDITS––––
The Jon Tr3ndy ATR Label is another creation inspired by Tr3ndy Jon (Jonathan McKeever,) and his Supply and Demand System. Building on the legacy of our premium scripts Tr3ndy Bands, Tr3ndy Edges, Tr3ndy LIS and the Tr3ndy PMZ, this script brings the power of the Average True Range (ATR) to your fingertips, but with a Tr3ndy twist.
🦄 ––––CALCULATIONS––––
The indicator uses different calculations methods to determine (Average True Range) ATR for the stock. The available calculation are:
👉 Exponential Moving Average EMA,
👉 Simple Moving Average SMA,
👉 Relative Moving Average RMA,
👉 Weighted Moving Average WMA.
The available timeframes are:
👉 Daily D
👉 Weekly W
👉 Monthly M
When you hoover with the mouse above the label, you will see what type of calculation you have chosen.
🎯 ––––WHAT IT DOES––––
The Jon Tr3ndy ATR Label is designed to dynamically calculate and display the Average True Range (ATR) of the asset directly on your chart for any of the chosen timeframes (e.g. show Weekly ATR on a Daily chart).
It can be used on equities, forex, crypto and many more. ATR is a volatility indicator that measures the degree of price volatility. This script allows users to select between daily, weekly, or monthly ATR calculations and offers a choice of four averaging methods: EMA, SMA, RMA, and WMA. The resulting ATR value is then presented as an easily readable label on your chart, ensuring you're always informed about the market's volatility.
🛠️ ––––HOW TO USE IT––––
ATR Length : Set the desired period for the ATR calculation.
Average Type : Choose your preferred averaging method from EMA, SMA, RMA, or WMA.
Day Period : Select the desired time frame for the ATR calculation: Daily (D), Weekly (W), or Monthly (M).
Label Position : Adjust the position of the ATR label on your chart using the 'Panel Position' and 'Text Size' options.
Banner : Toggle the 'Banner' option to display the ATR label as a banner on your chart.
Interpreting the ATR Label : A higher ATR value indicates greater volatility, while a lower ATR suggests less volatility. Use this information in conjunction with other indicators and analysis techniques to make informed trading decisions.
Implied Range from Options [SS]I have been promising to post this for a while, but I just needed to make sure that a) there were no similar indicators already available and b) make it a bit more user friendly.
So here it is, a basic indicator that will display the implied range from options.
In addition to displaying the implied range from options, it will provide some secondary information to help add context to the implied range. Those are shown in the chart below:
The indicator will list various precents at each point to the upside and to the downside. This is the percent move required, based on the current close price, to obtain any point in the implied move range.
In addition, the indicator will display the average move from open to high and open to low over a user defined period (default to 14 candle period) as well as the previous open to high and open to low move from the previous day.
This is to give you context of:
a) How much of a % increase or decrease is required to reach the implied ranges; and
b) How does the implied range compare to the ticker's average moves.
An increased implied range that exceeds the ticker's average move can alert you that the market is pricing in an above average move. This can be helpful and alert you to potential news releases or other fundamental things that have the potential to move the market.
How to Use the indicator:
So unfortunately, this indicator requires a bit of manual input. I was going to do an auto IV calculcation using Black-Scholes Model but just to be more rigorous in accuracy, I decided to, for now, leave it at a manual input. So when you launch the settings menu, this is what you will see:
You can collect all of this required information from your broker. Inversely, you can collect it online for free from various services such as Barchart or COBE's exchange website. The easiest way is to just pull it from your broker though.
Make sure, if you are doing weekly options to see the weekly range, you set the timeframe to 1 week. The timeframe function will calculate the average move over the desired timeframe length. So if you are doing a 0 dte for the next day, you want to see the intra-day range and will select the 1 day timeframe. It will then present to you the range averages and information on the daily timeframe for you to compare to the implied options range.
Same for the weekly, monthly, yearly, etc.
Additional options:
The indicator provides the midline average and midway points, to add static targets if you are trading the implied range.
These can be toggled on or off in the settings menu:
As well, as you can see, you can also toggle off the range labels.
There is also an offset option. This allows you to extend the range into the future:
Simply select how many candles you would like to plot the range in advance.
Closing remarks
That is the indicator. Its very simple, but it is handy. I was never one to pay attention to option pricing data, but I have been plotting it out daily and weekly these past few weeks and it does add a bit of context in terms of what the market is thinking. So I do recommend actually adding it to your repertoire of analyses going into the weeks and months, and really just paying attention to how the average ranges compare to what the market is pricing in.
One quick suggestion, select the strike price that aligns with the closing price of the ticker. This gives you a better representation of the range.
Safe trades everyone and leave your comments, questions and suggestions below!
