Market Structure (Intrabar) [LuxAlgo]The Market Structure (Intrabar) indicator is designed to automatically detect and highlight real-time intrabar market structures, a core component of the Smart Money Concepts methodology.
🔶 USAGE
The proposed indicator gives a detailed picture of the most recent candle lower timeframe trends, highlighting market structures within them.
This can be particularly useful to assess the price dynamic within the most recent candle. For example, we can see how pronounced a trend is by the number of opposite bullish/bearish market structures formed within the candle.
Users can select the intrabar timeframe of interest from the "Intrabar Timeframe" setting, using a timeframe significantly lower than the chart timeframe will return more intrabar candles and potentially more market structures.
🔹 Dashboard
Users have access to a dashboard returning useful statistics such as the number of formed CHoCH's and BOS's from the intrabar prices. These can be indicative of how predominant a trend is within the intrabar data or if there exist multiple trends.
🔶 DETAILS
Market structures allow determining trend continuations as well as trend reversals in the market through two distinct structures:
🔹 Change of Character (CHoCH)
A change of character (CHoCH) refers to a shift in the market behavior of a security that is driven by changes in the underlying supply and demand dynamics. CHoCH's are indicative of confirmed reversals.
🔹 Break of Structure (BoS)
The break of structure (BoS) refers to the point at which a key level of support or resistance is broken. BOS's are indicative of confirmed trend continuations.
🔶 SETTINGS
🔹Inside the Bar Market Structure
Intrabar Timeframe: Lower timeframe setting option, if set to 'Auto' the script will determine the lower timeframe based on the chart timeframe.
Intrabar Market Structure, Length: Toggles the visibility of the break of structures and change of characters. Length defines the detection length of the swing levels.
Intrabar Swing Levels: Toggles the visibility of the swing levels, including a color customization option for highs and lows.
Intrabar Statistics: Toggles the visibility of the dashboard. Some further statistical details are presented in the tooltips of the table cells
🔹 General
Market Structure Colors: Color customization option for the break of structure and change of character lines and labels.
Intrabar Candle Colors: Color customization option for intrabar candles.
Intrabar Candles Horizontal Offset: Adjusting the intrabar candles horizontal position
Dashboard: Dashboard position and size customization option
🔶 LIMITATIONS
Please note that seconds-based intervals are available for premium and professional plan holders, which implies that the seconds-based intervals usage of the indicator may not be available for all users depending on their subscription plan.
🔶 RELATED SCRIPTS
Smart-Money-Concepts
ICT-Concepts
Pesquisar nos scripts por "THE SCRIPT"
ML - Momentum Index (Pivots)Building upon the innovative foundations laid by Zeiierman's Machine Learning Momentum Index (MLMI), this variation introduces a series of refinements and new features aimed at bolstering the model's predictive accuracy and responsiveness. Licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), my adaptation seeks to enhance the original by offering a more nuanced approach to momentum-based trading.
Key Features :
Pivot-Based Analysis: Shifting focus from trend crosses to pivot points, this version employs pivot bars to offer a distinct perspective on market momentum, aiding in the identification of critical reversal points.
Extended Parameter Set: By integrating additional parameters for making predictions, the model gains improved adaptability, allowing for finer tuning to match market conditions.
Dataset Size Limitation: To ensure efficiency and mitigate the risk of calculation timeouts, a cap on the dataset size has been implemented, balancing between comprehensive historical analysis and computational agility.
Enhanced Price Source Flexibility: Users can select between closing prices or (suggested) OHLC4 as the basis for calculations, tailoring the indicator to different analysis preferences and strategies.
This adaptation not only inherits the robust framework of the original MLMI but also introduces innovations to enhance its utility in diverse trading scenarios. Whether you're looking to refine your short-term trading tactics or seeking stable indicators for long-term strategies, the ML - Momentum Index (Pivots) offers a versatile tool to navigate the complexities of the market.
For a deeper understanding of the modifications and to leverage the full potential of this indicator, users are encouraged to explore the tooltips and documentation provided within the script.
The Momentum Indicator calculations have been transitioned to the MLMomentumIndex library, simplifying the process of integration. Users can now seamlessly incorporate the momentumIndexPivots function into their scripts to conduct detailed momentum analysis with ease.
PinBar and Bloom Pattern Concept (Zeiierman)█ Overview
The Precision PinBar and Bloom Pattern Concept by Zeiierman introduces two new patterns, which we call the Bloom Pattern and the Precision PinBar Pattern. These patterns are used in conjunction with market open, high, and low values from different periods and timeframes. Together, they form the basis of the "PinBar and Bloom Pattern Concept." The main idea is to identify key bullish and bearish candlestick patterns around key levels plotted on the chart.
The key levels are the Open, High, and Low from the current and previous periods of the selected timeframe. Users can choose how many previous periods to be drawn on the chart.
█ How It Works
The indicator operates by analyzing market data over selected timeframes. It uses inputs such as previous period open-high-low lines, timeframe selections, and pattern detection settings like Symmetry Precision and Range Threshold. These parameters allow the indicator to identify specific market conditions, including symmetrical movements in price and significant price range deviations, which form the basis of the Bloom and Precision PinBar patterns.
Symmetry Signal:
Purpose: To detect symmetry in price movements based on a precision threshold.
How It Works: This function calculates the symmetry of high and low prices within the specified precision. It returns two boolean values indicating whether the high and low prices are within the symmetry precision.
BaselineBound Pattern:
Purpose: To identify bullish or bearish patterns based on a range factor.
How It Works: The function calculates whether the current close price is within a certain range of the high-low difference of the previous period. It returns bullish and bearish signals based on these calculations.
█ ● Bloom Pattern
The Bloom Pattern is a unique candlestick pattern designed to identify significant trend reversals or continuations. It's not a single candlestick formation but a combination of a few elements that signal a potential strong move in the market.
⚪ Previous and Current Candle Analysis: The Bloom Pattern looks at the relationship between the current candle and the previous one. It checks whether the current candle's body (the range between its opening and closing prices) fully encompasses the body of the previous candle. This condition is known as "embodying."
⚪ Baseline Bound: The Baseline Bound concept involves comparing the closing price to a range established by the high and low of the previous candle, adjusted by a factor (the rangeFactor). This helps in identifying if the current price is showing a bullish or bearish tendency relative to the previous period's price movement.
⚪ Symmetry Signal: Additionally, it uses the Symmetry Signal, which measures the symmetry between the high and low prices of two consecutive candles.
⚪ Bullish and Bearish Signals: The combination of these conditions (embodying, baseline bound, and symmetry) results in either a bullish or bearish signal. A bullish signal suggests a potential upward trend, while a bearish signal indicates a possible downward trend.
█ ● Precision PinBar Pattern
The Precision PinBar Pattern is a refined version of the traditional Pin Bar, a well-known candlestick pattern used in trading. This pattern focuses on identifying market reversals with a high degree of accuracy.
⚪ Identification of Pin Bars: The function first identifies a pin bar, characterized by a small body and a long wick. The long wick indicates a rejection of certain price levels, and the small body shows little change between the opening and closing prices.
⚪ Tail and Body Length Analysis: The script calculates the length of the bar's tail (wick) and compares it to the length of the body. A qualifying pin bar typically has a tail at least three times longer than its body, suggesting a strong rejection of prices.
⚪ Positioning and Thresholds:
Open-Close Position: The function checks whether the opening and closing prices are within a certain threshold of the high or low of the bar, which helps in distinguishing between bullish and bearish pin bars.
⚪ Baseline Bound and Symmetry: Like the Bloom Pattern, it incorporates Baseline Bound and Symmetry Signal concepts to validate the significance of the pin bar.
⚪ Bullish and Bearish Signals: Depending on these factors, a bullish or bearish pin bar is identified. A bullish PinBar suggests potential upward price movement, while a bearish PinBar indicates possible downward price movement.
█ How to Use
Using the Bloom and Precision PinBar patterns in conjunction with key market levels, such as previous highs and lows, can be a powerful strategy for traders. These market levels often act as significant points of support and resistance, and combining them with the patterns can offer strong trade signals. Here's how traders can effectively utilize these patterns:
Identifying Key Market Levels
Previous Highs and Lows: These are the highest and lowest points reached in previous trading periods and are often considered strong levels of resistance (in the case of previous highs) and support (in the case of previous lows).
Using the Bloom Pattern
Near Previous Highs (Resistance): If a Bloom Pattern emerges near a previous high, it could indicate a potential bearish reversal. Traders might interpret this as a signal to consider short positions, especially if the pattern shows bearish characteristics.
Near Previous Lows (Support): Conversely, a bullish Bloom Pattern near a previous low could suggest a trend reversal to the upside. This could be a signal for traders to consider long positions.
Using the Precision PinBar Pattern
Precision PinBar at Resistance: A bearish Precision PinBar appearing near a previous high can be a strong signal for a potential downward move. This setup is often used by traders to enter short positions, anticipating a price rejection at this resistance level.
Precision PinBar at Support: Similarly, a bullish Precision PinBar at or near a previous low suggests that the market is rejecting lower prices, indicating potential upward momentum. This is typically used by traders as a cue to go long.
█ Settings
Previous Open-High-Low Lines: Determine the number of historical periods to analyze. Settings include toggling the visibility of lines and labels and specifying the number of periods.
Timeframe & Current Period: Select the timeframe for current market analysis. Options include different timeframes (e.g., 1H, 1D) and customization of line styles and colors.
Pattern Settings: Adjust the Symmetry Precision and Range Threshold to fine-tune the indicator's sensitivity to specific market movements.
Bloom & Precision PinBar Pattern: Enable or disable the detection of specific patterns and customize the visual representation of these patterns on the chart.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
MACD Bands - Multi Timeframe [TradeMaster Lite]We present a customizable MACD indicator, with the following features:
Multi-timeframe
Deviation bands to spot unusual volatility
9 Moving Average types
Conditional coloring and line crossings
👉 What is MACD?
MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes, overbought and oversold conditions, and potential reversals.
👉 Multi-timeframe:
This feature allows to analyze the same market data on multiple time frames, which can be in help to identify trends and patterns that would not be visible on a single time frame. When using the multi-timeframe feature, it is important to start with the higher time frame and then look for confirmation on the lower time frames. This will help you to avoid false signals. Please note that only timeframes higher than the chart timeframe is supported currently with this feature enabled. Might get updated in the future.
👉 Deviation bands to spot unusual volatility:
Deviation bands are plotted around the Signal line that can be in help to identify periods of unusual volatility. When the MACD line crosses outside of the deviation bands, it suggests that the market is becoming more volatile and a strong trend may form in that direction.
👉 9 Moving Average types can be used in the script. Each type of moving average offers a unique perspective and can be used in different scenarios to identify market trends.
SMA (Simple Moving Average): This calculates the average of a selected range of values, by the number of periods in that range.
SMMA (Smoothed Moving Average): This takes into account all data available and assigns equal weighting to the values.
EMA (Exponential Moving Average): This places a greater weight and significance on the most recent data points.
DEMA (Double Exponential Moving Average): This is a faster-moving average that uses a proprietary calculation to reduce the lag in data points.
TEMA (Triple Exponential Moving Average): This is even quicker than the DEMA, helping traders respond more quickly to changes in trend.
LSMA (Least Squares Moving Average): This moving average applies least squares regression method to determine the future direction of the trend.
HMA (Hull Moving Average): This moving average is designed to reduce lag and improve smoothness, providing quicker signals for short-term market movements.
VWMA (Volume Weighted Moving Average): This assigns more weight to candles with a high volume, reflecting the true average values more accurately in high volume periods.
WMA (Weighted Moving Average): This assigns more weight to the latest data, but not as much as the EMA.
👉 Conditional coloring :
This feature colors the MACD line line based on it's direction and fills the area between the MACD line and Deviation band edges to highlight the potential volatility and the strength of the momentum. This can be useful to identify when the market is trending strongly and when it is in a more neutral or choppy state.
👉 MACD Line - Signal Line crossings:
This is a classic MACD trading signal that occurs when the MACD line crosses above or below the signal line. Crossovers can be used to identify potential trend reversals. This can be a bullish or bearish signal, depending on the direction of the crossover.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the indicator is using moving averages, which are lagging indicators.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Yearly Open LevelsThis script is a custom indicator for TradingView that shows the yearly open price levels on a chart. It differs from other scripts as it plots a single line for each year, showing the open price for that year, and labels the line with the year and open price. This indicator can be useful for identifying key levels of support and resistance based on the yearly open price.
To use this indicator, you need to add it to your TradingView chart and adjust the input parameters, such as the starting year and color. The script will then automatically plot lines and labels for each year's open price.
This script can be used in any market that has a yearly open price, such as stocks, futures, forex, and cryptocurrencies. However, it may be most useful in markets that tend to have significant year-to-year price movements, as it can help identify important levels of support and resistance. It may also be most effective in markets with a clear yearly cycle, such as those that tend to be influenced by seasonal factors.
Correlation Coefficient TableThis is a sample PineSript code implementation using Correlation Coefficient. It uses the ta.correlation library of Pinescript and calculates the correlation based on user input length. The results are then plotted on a table. The corr value displays the actual correlation coefficient value while the Corr Status displays the interpretation of the correlation coefficient values.
The script takes the following input
Source Symbol - This is the base symbol which will be used in calculating correlation coefficient. In my case, since i am looking more often on crypto. I defaulted it to BTCUSDT
Symbol 1 - Symbol 5 - These are the coins that will be compared to our base symbol for correlation.
Source - You can select on which price source you want to be calculated. By default this is set to candle close price.
Length - The number of price bar to look back and retrieve correlation coefficient. Set to 20 bars by default.
Table Settings - Since the correlation coefficient are displayed on a table. An option to customize the table settings are presented.
The Correlation Status column was based on this Interpretation:
For more information, read this article www.tradingview.com
Liquidity Swings [LuxAlgo]The liquidity swings indicator highlights swing areas with existent trading activity. The number of times price revisited a swing area is highlighted by a zone delimiting the swing areas. Additionally, the accumulated volume within swing areas is highlighted by labels on the chart. An option to filter out swing areas with volume/counts not reaching a user-set threshold is also included.
This indicator by its very nature is not real-time and is meant for descriptive analysis alongside other components of the script. This is normal behavior for scripts detecting pivots as a part of a system and it is important you are aware the pivot labels are not designed to be traded in real-time themselves.
🔶 USAGE
The indicator can be used to highlight significant swing areas, these can be accumulation/distribution zones on lower timeframes and might play a role as future support or resistance.
Swing levels are also highlighted, when a swing level is broken it is displayed as a dashed line. A broken swing high is a bullish indication, while a broken swing low is a bearish indication.
Filtering swing areas by volume allows to only show significant swing areas with an higher degree of liquidity. These swing areas can be wider, highlighting higher volatility, or might have been visited by the price more frequently.
🔶 SETTINGS
Pivot Lookback : Lookback period used for the calculation of pivot points.
Swing Area : Determine how the swing area is calculated, "Wick Extremity" will use the range from price high to the maximum between price close/open in case of a swing high, and the range from price low to the minimum between price close/open in case of a swing low. "Full Range" will use the full candle range as swing area.
Intrabar Precision : Use intrabar data to calculate the accumulated volume within a swing area, this allows obtaining more precise results.
Filter Areas By : Determine how swing areas are filtered out, "Count" will filter out swing areas where price visited the area a number of time inferior to the user set threshold. "Volume" will filter out swing areas where the accumulated volume within the area is inferior to the user set threshold.
🔹 Style
Swing High : Show swing highs.
Swing Low : Show swing lows.
Label Size : Size of the labels on the chart.
Note that swing points are confirmed after Pivot Lookback bars, as such all elements are displayed retrospectively.
((Bearish)) Candle Above EMASGood Morning from the UK.
Todays script is a simple vieweing of when candles close above a certain moving average - when the market is bearish conditions - candle which close above the moving average can be viewed as a bearish signal along with confluences such as price action. This script is best on the Daily and we can expect big price moves away from this area.
The below example, we have a bearish set up with a break of trendline and then a break of a base which would 1) strong area as price is unlikely to go past this area which would make this a supply zone.
This was then followed by the signal of the candle closing above the 100ema and the 50ema.
The script is likened to my one of my previous scripts which portrays the bullish ema candle closes.
I will be making a price action publish soon if that is of interest to the public.
Multiple Non-Anchored VWAPA lot of VWAP scripts are anchored and only allow single VWAP additions. This script allows up to 5 simultaneous VWAPs, for example monthly, quarterly, yearly, 3 years, etc. Can also be used on smaller timeframes. The non-anchored part of the script allows it to be constantly rolling, with no resets.
I do not endorse this script, it was created at my request :)
Improved Z-ScoreStandard Z-Score scripts lack customization of parameters that I personally desire when doing quantitative analysis. This is an improved Z-Score Indicator to add to your charts that lets you customize various inputs.
Below are the current features:
1) Ticker Type - which data would you like to use for the ticker input - Open, High, Low, Close, OHLC4
2) Ticker Smoothing? - sometimes if you have noisy data, it could be useful to smooth the ticker with a very fast EMA. If this is set to true, the ticker data will be smoothed with an EMA with period that you specify.
3) Ticker Smoothing Period - if Ticker Smoothing? is set to true, this will allow you to specify the smoothing period of the fast EMA - I usually use a 3-period for all of my quantitative analysis, if I am using smoothing.
4) MA Type - Z-Scores are normalized by subtracting a moving average. This allows you to select either a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) - the standard is to use SMA.
5) MA Period - the previous X number of bars that you would like to use for normalization. The default is set to 21 (this is roughly 1 month of trading days data for a daily chart).
5) Standard Deviation Period - Z-Scores are normalized by dividing by the standard deviation over X previous periods. This allows you the chance to customize. Default is 252 (this is roughly 1 year of trading days data for a daily chart).
I can add more features if folks are interested, let me know! I hope you like the script.
Best regards,
-Jim Bosse-
Volume [Educational]Hello All,
This is an educational work and it's developed to show how to write scripts that will work like built-in volume indicator.
We have new features in Pine Script™ Language, such chart.bg_color, chart.fg_color, chart.left_visible_bar_time, chart.right_visible_bar_time and many more. Many Thanks to Tradingview and Pine Team for such great additions!
You can find more information about these new functions here .
How the script works?
- At the first step it calculates how many visible bar on the chart by using chart.right_visible_bar_time and chart.left_visible_bar_time functions.
- Calculates the zero line for the volume
- Finds maximum volume on visible area and normalize all volume values
- Draws volume bars
- Shows volume info as indicator value. in this step it uses chart.fg_color and plotarrow() commands to show the values in optimum color.
In order to place the indicator at the bottom of the chart, Please set Bottom Margin = 0 as shown in the following screenshot:
You can change the volume bar colors optionally.
An Example screenshot with different volume bar colors:
Enjoy!
McDonald's Pattern [LuxAlgo]Tradingview asked, we delivered. This script fits a cubic Bezier curve using tops/bottoms in order to approximate a McDonalds pattern, a popular meme pattern in the crypto trading community.
Traditionally the McDonalds pattern is described by an M pattern with deep retracement (> 50%), forming a McDonalds logo.
Please note that this indicator is a meme & should not be taken seriously. Some aspects of this indicator are not real-time and meant for descriptive analysis alongside other components of this script, in this case, for entertainment purposes. We suggest looking through our other open-source scripts if you’re looking for more serious tools.
🔶 USAGE
The script fits Bezier curves using specific tops/bottoms as control points. When the distance between tops and bottoms values is relatively small, the user can more easily identify the pattern.
A score is shown on the top right of the chart, aiming to return how close the returned pattern is to the original logo.
A regular Mcdonalds pattern would return a red background, while an inverted pattern would return a green one.
🔶 SETTINGS
Length: Sensitivity of tops/bottoms detection. The method does not make use of pivot points, using rolling maximums/minimums instead.
Use First Bar As Vertex: Use the price and bar index of the last bar as vertex.
Silen's Financials P/E & P/S[x10] RatesThis script aims to give a better visualization of P/E and P/S rates compared to the build-in "Price to earnings ratio" and "Price to sales ratio" in the "Financials" Section of Tradingview. For those of you don't know, those rates compare earnings and sales with your share price in regard to market cap and outstanding shares.
The scripts differs to the build-in versions in the following points:
- P/E & P/S rates are combined in one indicator
- Negative P/E rates are displayed better: Positive P/E rates are green, Negative P/E rates are red
- For visualization reasons, the indicator will cap positive and negative P/E rates at 100. (P/E rates above those levels are not siginificant either way)
- P/E & P/S rate are directly displayed on the graph
- Both P/E and P/S rates are combined on one left scale
- For visualization reasons, P/S rate is showing 10x the actual P/S rate. Using the standard P/S rate would result in hard-to-recognize changes of the P/S line.
To sum up:
- Positive P/E rates are green
- Negative P/E rate are red
- P/S rates are multiplied by 1 0
- P/S rates are yellow
How to use P/E and P/S rates:
The US market average for P/E rates is roughly ~18 in the US right now (10/2022) while the market average for P/S rates is roughly ~3 in the US. Note that average P/E and P/S can change when the market situation changes.
P/E and P/S rates help you value your stock better and help you decide whether your stock is undervalued or overvalued compared to the market or the industry when it comes to earnings and sales. If you compare to Market averages, a positive P/E of less than 18 means that your stock is likely unvervalued. A P/S rate below 3 (30 in the chart!) means that your stock is likely undervalued as well. If your stock shows rates above those, it is likely that it is overvalued compared to market averages.
Please note that P/E and P/S rates are not the only factors that make up a stock valuation. Valuations are complex and subjective.
A positive P/E rate also means that your company is profitable.
A Negative P/E rate means that your company is unprofitable.
If you have any questions or feedback let me know!
Disclaimer: This script doesn't show the actual P/S rate. It shows the P/S rate multiplied by 10, due to visualization issues. Positive P/E Rates above 100 are displayed as 100. Positive P/E rates are green, Negative P/E rates are red and multiplied by -1.
Disclaimer2: @Tradingview_Team: I couldn't find the right category for this script but categories are mandatory. I assume that "Breadth Indicators" is still the closest there is. Please let me know if you want me to change the category.
Disclaimer3: For visualization, the opacity of the displayed image is 70%. The standard opacity for the P/E and P/S lines is 50% and can be changed in the indicator settings. I found this setting more useful when working together with other indicators on the same chart
Disclaimer4: Earnings Per Share, Total Revenue used are TTM. Total Shares Outstanding used are FQ.
0_dteUSAGE
This script guages the probability of an underlying moving a certain amount on expiration day, to aid the popular "0 dte" strategy. The script counts how many next-day moves exceeded a given magnitude in the past, under similar conditions. The inputs are:
mark_mode:
- "open": measures the magnitude as "open to close"--a true 0 dte.
- "previous close": for lazy people who don't want to wake up early. measures magnitude from the previous day's close.
move_mode:
- "percent": measures moves that exceed a given percentage.
- "absolute": measures moves that exceed a point value.
move-dir: measure only up moves, down moves, or both.
vol_model: the model for realized volatility. (may add more later).
min_vol: only measure moves when realized vol is above this value.
max_vol: only measure moves when realized vol is below this value.
precision: number of digits printed in the output table.
EXAMPLE:
- mark_mode: "previous close"
- move_mode: "percent"
- move_dir: "up"
- move_mag: 0.07
- vol_model: hv30
- min_vol: 0.2
- max_vol: 0.5
These settings will count the number of trading days that closed 7% higher than the previous day's close, when the previous day's realized volatility (annualized) was between 20% and 50%. The outputs are:
- current vol: green plot. Today's realized vol. Shown for convenience.
- max and min vol: red plots. Also shown for convenience.
- count: the number of days that exceeded the chosen magnitude, when the previous day's realized volatility was within the chosen bounds.
- total: the total number of days where realized volatility was within the chosen bounds
- probability: count / total. the percentage of days that exceeded the move when volatility was within the bounds.
- move: plotted as a purple line. purple "X" labels are plotted above
- bars where the move exceeded the magnitude threshold and volatility was in-bounds. a "hit".
CONCLUSION
This script is based on the idea that realized volatility has some bearing on future volatility. By seeing what happened in the past when volatility was close to its current value, we may be able to assess the probability that our short put will be in the money, tomorrow, and our account devastated.
NOTE: Unlike many of my other scripts, all percentages--both inputs and outputs--are given in fractional form. E.g., 0.01 means 1%.
Pivot High/Low Analysis & Forecast [LuxAlgo]Returns pivot points high/low alongside the percentage change between one pivot and the previous one (Δ%) and the distance between the same type of pivots in bars (Δt). The trailing mean for each of these metrics is returned on a dashboard on the chart. The indicator also returns an estimate of the future time position of the pivot points.
This indicator by its very nature is not real-time and is meant for descriptive analysis alongside other components of the script. This is normal behavior for scripts detecting pivots as a part of a system and it is important you are aware the pivot labels are not designed to be traded in real-time themselves
🔶 USAGE
The indicator can provide information helping the user to infer the position of future pivot points. This information is directly used in the indicator to provide such forecasting. Note that each metric is calculated relative to the same type of pivot points.
It is also common for analysts to use pivot points for the construction of various figures, getting the percentage change and distance for each pivot point can allow them to eventually filter out points of non-interest.
🔹 Forecast
We use the trailing mean of the distance between respective pivots to estimate the time position of future pivot points, this can be useful to estimate the location of future tops/bottoms. The time position of the forecasted pivot is given by a vertical dashed line on the chart.
We can see a successful application of this method below:
Above we see the forecasted pivots for BTCUSD15. The forecast of interest being the pivot high. We highlight the forecast position with a blue dotted line for reference.
After some time we obtain a new pivot high with a new forecast. However, we can see that the time location of this new pivot high matches perfectly with the prior forecast.
The position in time for the forecast is given by:
x1_ph + E
x1_pl + E
where x1_ph denotes the position in time of the most recent pivot high. x1_pl denotes the position in time of the most recent pivot low and E the average distance between respective pivot points.
🔶 SETTINGS
Length: Window size for the detection of pivot points.
Show Forecasted Pivots: Display forecast of future pivot points.
🔹 Dashboard
Dashboard Location: Location of the dashboard on the chart
Dashboard Size: Size of the dashboard on the chart
Text/Frame Color: Determines the color of the frame grid as well as the text color
Ultimate Moving Average [CC+RedK]The Ultimate Moving Average was created by myself and @RedKTrader and I can proudly say that this is the holy grail of moving averages. Not only does this moving average react to the current price trends like a normal moving average but we have also included the ability to react to volume, momentum, and volatility. The only thing this moving average can't do is wash your car.
The Ultimate Moving Average doesn't even use a set length so it is fully adaptable to any type of market whether it is choppy or trending. It tightens during volatile markets and loosens during choppy markets. I have included 3 of the main moving averages of a fixed length of 20 days to show you just how much better our moving average is.
The overall concept of this moving average was to fully adapt to any and all changes of the underlying stock. We used my Variable Power Weighted Moving Average as a base and changed the script to adapt to momentum instead. The idea behind this was when momentum reaches an extreme in either direction we tighten the moving average to be able to react accordingly. We then used the idea behind my Variable Length Moving Average to be able to react to volatility and make the length itself into a separate variable.
All of this work combined to create the most reactive moving average out there and I guarantee you will be using this in your daily trading! Let me know if there are any other scripts you would like to see me publish.
