Dynamic Price Targets @shrilssDynamic Price Targets is a designed to provide traders with a comprehensive view of dynamic price levels based on Volume Weighted Moving Average (VWMA) and standard deviation. This script allows users to identify potential support and resistance zones, aiding in strategic decision-making during market analysis.
The script calculates the VWMA of a chosen price source over a specified length, establishing a dynamic baseline for market trends. The standard deviation is then used to derive multiple upper and lower targets, each representing a certain deviation from the VWMA. These levels are color-coded for clarity, with upper targets displayed in shades of red and lower targets in shades of green.
在脚本中搜索"ETF+买入股票+方法"
Timeframe PivotsUse this tool to plot open prices from any timeframe as a pivot level with the option to go advanced and turn on extensions (instructions below), which review the relationship between previous and current open prices to build range extensions up to six levels wide.
Please be aware extensions, nor vwap are not enabled by default! It is up to the user to determine how they wish to setup this indicator. Please read the full description for utilizing this indicator so that it's well known the complete feature set and understanding of how to enable additional plots, complete instruction is provided for all users below.
Default configuration example:
To enable extensions the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the section labeled "Extensions", use the mouse or equivalent human interface device to check the checkbox to the right of the color plots and line type drop down.
Extensions enabled example:
Timeframe Selection
Timeframes available to the indicator are any timeframe the platform makes available to the user by default, or also if the TradingView user has higher tier plan to create custom timeframes - those should be available as well. To adjust timeframe the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the input labeled "Timeframe", use the mouse or equivalent human interface device select the drop down and select timeframe suitable to users application.
How the extension width and extensions are calculated:
The exact process takes the new timeframe change open price calculates the difference between prior open, once that has been completed then it's divided in half to build extensions.
Code example:
Extension Width = (Open - Open ) / 2
How the extensions are calculated:
// +1 for positive extension, -1 for negative extension
(Extension Width * (Configured Multiplier * 1)) + Pivot Open Price
+1 Extension:
$5 * (1.0 * 1) + $400 = $405
-1 Extension:
$5 * (1.0 * -1) + $400 = $395
So it should be established how each projected extension, either positive or negative, is created.
Range bound market detection and notes:
One note regarding the ranges, sometimes the open prices of each period can be close in proximity to their predecessor, there's not enough range to build meaningful projections. In these situations this means the market is most likely range bound and prior range data is utilized to continue providing guidance. This addresses an issue with other pivot indicators that will instead blindly follow price and present useless pivot ranges.
It does this through detection of average half range widths, the last 14 ranges to be exact, if the current, (open - open / 2), half range width is smaller than the average, prior half range width will be used.
Code example:
// assume past half range widths are 10, 8, 9, 5, 14, 7, 7, 9, 10, 10, 4, 7, 7, 8
float v_halfRangeWidthToUseForExtensions = na
v_priorHalfRangeWidth = 10
v_avgHalfRangeWidth = 8.2 // past range widths sum = 115 / 14
v_newHalfRangeWidthToUseForExtensions = 2 // new open - open is tiny compared to avg
if v_newHalfRangeWidthToUseForExtensions < v_avgHalfRangeWidth
// replace new half range width with previous one
v_newHalfRangeWidthToUseForExtensions := v_priorHalfRangeWidth
In the code example above if the new half range width was above or equal to the rolling average, no adjustment would be made by the indicator.
VWAP
Additional feature of showing vwap, anchored to the same timeframe as the pivot, provides a trend and volume analysis within the confines of the pivots range.
The user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", scroll using mouse to the "VWAP" section and click the checkbox next to the "Source" field, past the color plots. They are not enabled by default!
The user can also add the bands for VWAP by clicking the checkbox next to the "Bands" field, past the color plots. They are not enabled by default!
VWAP calculations begin from open price of new timeframe change, then afterwards the "Source" set is utilized, the default is HLC3 which is standard for VWAP indicators.
Multiple Timeframe Analysis (MTFA)
It's simple to create a unique combination of favored timeframes for multiple timeframe analysis, consider daily, weekly and monthly combined analysis for powerful indications of market sentiment and directional bias.
Example MTFA demonstration:
Why was this created?
I created this while investigating the efficacy of open price ranges, it became apparent that these pivot ranges are some of the more price respecting pivots I've ever observed. I also grew tired of lack of price adherence to other pivot indicators widely available.
There exists a relationship between each timeframes open price in comparison to prior open price, if the market is willing to navigate to a prior lower open price from higher open price, it could be perceived as bearish and the extensions (if enabled as instructed above), could be suitable range based projections for future price movements.
Example comparison:
As can be seen, and there are many examples, where Timeframe Pivots provides more discreet levels and potential explanations for price movements.
Supertrend with Target Price & ATREE [SS]Hey everyone,
Releasing this supertrend mashup indicator.
This is your basic supertrend, but with two additions:
1. The integration of the ATREE technical probability modeller; and
2. The use of ATR price targets for crossovers
ATREE
ATREE stands for Advanced Technical Range Expectancy Estimator. It has its very own indicator available here . If you are not that familiar with it, I would suggest heading over to that page and reading about it, because it gives you the in-depth details.
But for a recap, ATREE uses technical indicators such as RSI, Stochastics or Z-Score to predict the likely sentiment, whether it be bullish or bearish. The indicator allows you to select the ATREE model type and supports 3 separate probability models based on either:
1. RSI
2. Stochastics; or
3. Z-Score
If you want to know which model is most effective for the ticker and timeframe you are using, you can launch up the native ATREE indicator and review the backtesting results to ascertain which model performs optimally for that particular ticker on that particular timeframe.
When ATREE assesses the sentiment as bearish, you will get a red fill. When it assesses the sentiment as bullish, you will get a green fill. This will help you adjust your bias to focus on either dip buying or rip shorting.
The ATREE timeframe is also customizable, so you can pull data from higher timeframes than you are on.
ATR Price Targets
As with my EMA 9/21 crossover with the target price, this is essentially the same concept. When the trend shifts to bullish or bearish, bull and bear targets will be printed so you know where to look for potential reversal and you can also set realistic target prices if you are scalping or day trading.
Supertrend
The last and base feature is the supertrend. The supertrend settings are customizeable.
It will provide a green line for uptrend and a redline for downtrend, the basic supertrend functionality.
And that's the indicator!
Let me know what you think and hope you enjoy!
Safe trades as always!
Diamond Grids @shrilssUncover hidden patterns and potential reversal zones with the Diamond Grids Indicator. This script introduces a unique approach to visualizing price extremes within a specified range, aiding traders in identifying critical support and resistance levels. The indicator dynamically calculates and displays diamond-shaped grids based on user-defined short and long lengths and ATR. Utilize this powerful tool to enhance your technical analysis and gain insights into potential trend reversals.
Key Features:
- Dynamic Grid Calculation: The indicator dynamically calculates and plots diamond-shaped grids based on specified short and long lengths. These grids represent key price extremes within the defined range.
- Multi-Level Support and Resistance: Each diamond grid consists of multiple support and resistance lines, providing a comprehensive view of potential reversal zones. Traders can use these levels to make informed decisions.
- Customizable Parameters: Tailor the indicator to your trading style with customizable parameters such as short length, long length, and a multiplier. Adjust these settings to align the indicator with your unique preferences.
- Real-Time Updates: The indicator updates in real-time, ensuring that traders have the latest information on potential reversal zones. Stay ahead of market movements and make timely decisions.
- Toggle Trend Visualization: Diamond-shaped grids are color-coded for easy interpretation. Positive and negative grid lines are distinctly marked, offering a clear visual representation of the overall trend.
Clustered Asset Moving Average @shrilssThe Clustered Asset Moving Average script is designed to provide traders with a unique perspective on a cluster of multiple assets. By combining the closing prices and volumes of 12 specified assets, this indicator calculates a Clustered Moving Average to reveal potential trends and market sentiment within this asset cluster.
Key Features:
- Asset Cluster Analysis:
The script considers 12 assets, including well-known names such as Google (GOOG), Microsoft (MSFT), Apple (AAPL), Tesla (TSLA), and others.
It calculates the price and volume of each asset to form a comprehensive view of the asset cluster.
- Clustered Moving Average Calculation:
The Asset Price and Volume are combined to calculate the Clustered Moving Average
This moving average reflects the relationship between the aggregated price and volume of the specified assets.
- Multiple Exponential Moving Averages (EMA):
The script includes three EMAs (10, 25, and 100) applied to the Clustered Moving Average, providing different time perspectives.
Users can customize the visibility of each EMA based on their trading preferences.
- Visual Representation:
The indicator offers a visual representation of the Clustered Moving Average, allowing traders to quickly identify trends and potential reversal points.
Different EMAs are color-coded, enhancing visual clarity.
Position TrackerUse this tool to plot a trading position on the chart, using the guided confirmation prompts after adding to the chart.
To use this tool, after adding to the chart it will prompt for entry and exit time and entry price selection which will require using a mouse or touch screen to complete the action; the prompts appear at the bottom of the chart and are a blue bubble/box looking object :)
It will provide a readout of the live profit and loss, run-up and drawdown of a trade as well as present notes if added.
Visuals provide an easy look at periods of drawdown, and a anchored vwap is included as a simple guide for trade management.
Setting the symbol will allow many instances of the tool on the same layout and each instance will hide it's display while not on the matching symbol chart.
Once the end time for the trade is met, the label with trade breakdown thoughtfully moves away from active price and can be seen by scrolling to trade entry area.
If there's enough interest I will add some additional features but wanted to start simple. Or feel free to copy and make it your own!
Thanks and happy trading.
Top Cap ADD%This is a very basic oscillator that plots the average % change of the top 5 highest market cap stocks in the S&P500. It can be easily modified to suit your needs on which stocks you'd like to track, and or filter out the threshold you're looking for.
Day Coloring @shrilssDay Coloring Indicator, A tool designed to bring visual clarity to your charts by dynamically coloring the background based on the day of the week. This script adds a layer of organization to your charts, making it easier for traders to track and analyze market movements on different weekdays.
Key Features:
- Customizable Timezone:
Choose from a range of timezones, including popular ones like New York, Los Angeles, Chicago, Phoenix, Vancouver, Santiago, and Mexico City.
- Intuitive Background Coloring:
Each weekday is assigned a distinctive background color, allowing for quick identification and differentiation between different trading days.
LIB_TradeAssistLibrary "LIB_TradeAssist"
This library is a collection of assistence tools saving me the need to copy same code again and again in my various indicators and strategies.
Slop_Magnitude(val_now, val_older, mult_factor)
Calculate the slop magnetude betwen current price and an older price. Since the change is usually minimal, we multiply it by def value of 3000 to make it usable.You can optionally pass other multiply factor
Parameters:
val_now (float)
val_older (float)
mult_factor (float)
Returns: : Slop angle magnetude
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.
Autocorrelation Candles [SS]Hey everyone, this is the Autocorrelation Candles indicator!
I have formulated it in a way that is similar to the TD 9 candle counting indicators, only instead of TD, its using a lagged autocorrelation of previous candle over a 14 period look back.
It operates similar to trend correlations (for example, my Trend Correlation Oscillator Indicator), however instead of correlating to time, it correlates to itself (autoregression). The theory being, as the autoregression correlation increases and the market becomes too "trendy", we are due for a reversal.
The indicator will display the current lagged correlation of each candle below it. When we approach a period of previous reversal, it will change the colour to orange. When we reach a very high autocorrelation (0.94 or greater), it will turn red and signal a potential reversal to the upside or downside:
Uses:
I will reference this on the larger timeframes (Daily, weekly and 4 hour) about a couple times a week or after a major trend day to see where we are.
You can use this on the smaller timeframes as well, it will work just fine.
Customizations:
I have been listening and learning my lesson, I have made the ability to customize the base text colour to black or white depending on your theme use! SO if you have white theme, you can change to black and vice versa.
As well, if you don't want labels on every candle, in the settings menu there is an option to limit the labels to a desired amount. You select the max amount and it will adjust.
You can also adjust the size of the labels between tiny, medium, and large.
Conclusion
And that's the indicator! Despite being fairly simple in concept, I have been working away on it for a bit with some logistic issues that I finally got sorted.
Hopefully, you enjoy,
Leave your questions below!
Safe trades everyone!
Volatility Spectrum - Whvntr"Volatility Spectrum" is a useful technical indicator crafted for traders who prioritize precision in volatility analysis. This tool revolutionizes the traditional Average True Range (ATR) concept by offering a nuanced, multi-faceted view of market volatility.
Key Features:
Enhanced Volatility Insights: Seamlessly integrates standard ATR with an average ATR for a more detailed volatility analysis.
Customizable Parameters: Users can tailor the ATR and average ATR lengths to align with various trading styles and timeframes.
Multiple Smoothing Techniques: Options like RMA, SMA, EMA, or WMA are available to customize the ATR's responsiveness.
Dynamic Color Indicators: Unique color gradients visually represent different levels of volatility, aiding in quick and effective analysis.
Configurable Volatility Alerts: Set up alerts for specific high or low volatility conditions to assist in making informed decisions.
Intuitive Backgrounds: The background color shifts in response to volatility levels, offering an instant read on market dynamics .
Personalized Color Settings: Customize the color scheme for high and low volatility indicators to fit personal preferences and trading dashboards.
When and Where to Use:
Diverse Market Application: Suitable for various markets, including stocks, forex, and commodities.
Strategy Enhancement: Integrates with trading strategies for improved risk management and optimized entry/exit points.
Adaptable for All Trading Styles: Effective for both short-term day trading and long-term investment approaches.
Informed Trading Decisions: Best used in conjunction with other indicators for a well-rounded approach to volatility-based trading.
"Volatility Spectrum" is an essential tool for traders looking to enrich their understanding of market volatility. Its adaptability and depth make it a valuable component in any trader's toolkit, suitable for a range of markets and trading strategies.
"While 'Volatility Spectrum' provides valuable insights into market volatility, its indications should not be interpreted as definitive predictions or guarantees of future market behavior."
Opening Range Reversal ZonesThis script finds a reversal zone beyond the opening range for the selected period. I borrowed most of the opening range script itself from asenski.
I added a few things:
Trade Entry Times -- this restricts the "alert times."
Shading for the above mentioned times for the two "reversal" zones
A couple of other visuals for lines for the hi, mid, low of the opening range and lines for the fibs
Alerts while in the trading entry time session for fibbonacci crossovers.
I use this on NDX, SPY, and QQQs and have found buying "at the money" 0DTE puts in the "red zone" or 0DTE calls in the "green zone" frequently wins.
I have no statistics, as I am very methodical when I choose to enter, paying attention to the news, recent momentum, etc, and am not blindly entering when alert comes, but when one does, I do research and enter a trade.
In any case, thought I would share.
Custom Dual SMADescription
The Custom Dual SMA Indicator is designed for traders who wish to track and compare the moving averages of two different financial instruments simultaneously on the same chart, usually if there is correlation between to different asset such as TQQQ vs SQQQ. This indicator is particularly useful for those who engage in comparative analysis or pairs trading strategies.
Features
Dual Ticker Input: Users can input any two ticker symbols (e.g., stocks, currencies, commodities) to analyze. This flexibility allows for a broad range of comparative analyses across different markets or sectors.
Customizable SMA Length: The indicator provides the option to set the length of the SMA for each ticker symbol independently. This feature is critical for traders who wish to analyze the moving averages over different time periods, depending on their trading strategy or the specific characteristics of the instruments being analyzed.
Overlay on Price Chart: The calculated SMAs are overlaid directly on the price chart, enabling users to easily visualize how the moving averages of the two instruments move in relation to each other and to their respective price actions.
Color-Coded for Clarity: Each SMA is plotted in a different color (red and blue by default), ensuring clear differentiation and easy interpretation at a glance.
Use Case
This indicator is particularly beneficial for:
Comparative Analysis: Traders can compare the performance and trends of two different instruments, observing how their moving averages converge or diverge over time.
Pairs Trading: Those involved in pairs trading can use this tool to identify potential entry and exit points by analyzing the moving averages of two correlated or inversely correlated instruments.
Diversification Analysis: Investors looking to diversify their portfolio can use this indicator to understand the moving average trends of various instruments, helping them make informed decisions about asset allocation.
Summary
The Custom Dual SMA Indicator is a versatile tool for traders and investors who require a comparative view of the moving averages of two different instruments on the same chart. Its customizable nature and ease of use make it suitable for a wide range of trading strategies and market analyses.
TASC 2024.02 Price-Time Filtering█ OVERVIEW
This script implements a price-time trend filter proposed by Alfred François Tagher in the “Trend Identification By Price And Time Filtering” article from the February 2024 edition of TASC's Traders' Tips .
█ CONCEPTS
In his article, Alfred François Tagher proposed a rule set designed to minimize the impact of stochastic price movements, facilitating the identification of larger-scale trends. The rules are:
• If the most recent week's close exceeds the previous week's high, the trend is up.
• If the most recent week's close is below the previous week's low, the trend is down.
• The trend remains unchanged until one of the above conditions occurs.
Similar rules can also apply to monthly bars.
The author argues that this approach integrates characteristics of conventional price action and time dynamics filters, so he refers to it as price-time filtering .
█ CALCULATIONS
This script applies the above price-time filtering rules and offers multiple ways to view the results on a chart:
• In the "Oscillator" view mode, the script counts and displays the number of bars in the uptrend and downtrend.
• In the "Linebreak" view mode, the trend filter is presented in a format resembling a point-and-figure (P&F) chart , with the length of each bar corresponding to the high-low range of the respective trend.
• In both view modes, the script offers bar coloring of the main chart based on the identified trend.
Math Trading Concepts [SS]Presenting a mashup of the key elements I use for day-to-day trading: Volume, Z-Score, Autoregressive Forecasting, and a new addition, ANOVA analysis of variance.
I've aptly named it "Math Trading Concepts" in a nod to established trading concepts like "Smart Money" and "liquidity," but it's also fitting because these elements are fundamental to most quantitative/mathematical trading strategies.
What does it do?
The indicator visualizes Z-Score bands over a user-selected lookback period (defaulted to 14), akin to Bollinger Bands. Within these bands, it provides additional data, including trend identification. Uptrends are displayed in varying shades of green (brighter for stronger trends), while downtrends appear in red (with intensity reflecting strength).
Now, let's delve into each point individually:
Volume:
The indicator converts volume into a Z-Score over the specified lookback period. It distinguishes between buying and selling volume, calculating separate Z-Scores for each. A signal is triggered when the Z-Score exceeds 2 (for buying) or falls below -2 (for selling).
Z-Score:
The Z-Score clouds represent the outer parameters of the standard deviation over the lookback period (set at 2 and 3). Users can adjust the lookback time, and the indicator analyzes previous Z-Score reversal areas over the last 75 candles, signaling buy or sell based on historical reversals.
If you want to make it like BB, select the lookback length for the Z-Score at 25.
Autoregressive Forecasting:
This unique approach to autoregressive forecasting involves regressing a lagged variable while incorporating a time element. The time length is auto-determined based on the strongest trend. The indicator plots both autoregressed highs and lows.
ANOVA:
ANOVA, a discovery of mine, is introduced here. It reliably triggers significant readings before a pivot or breakout by measuring variance between means. When a statistically significant ANOVA occurs using the high, low, and close lagged values, it indicates an impending significant market move. While ANOVA alerts are not specific about the nature of the move, complementary tools like Volume, trend analysis, and Z-Bands provide additional insights.
Expect more educational content on ANOVA in the future, given its unique discovery. I was hoping to do one before releasing anything ANOVA based but alas, I haven't had the time!
The remainder of the indicator is self-explanatory. Feel free to ask any questions that arise or were not addressed in this description.
Special thanks to @Trendoscope for his arrays library which has made it possible for you to use the autoregression forecast while actively trading without it intruding on the chart :-).
Safe trades, everyone!
Intraday Fibonacci Levels [Gorb]Welcome to the Intraday Fibonacci Levels indicator, a dynamic and customizable tool designed for traders who incorporate Fibonacci retracements and extensions into their technical analysis. This indicator focuses on intraday price action, allowing you to select a specific candle from any trading session and visualize crucial Fibonacci levels derived from its high and low prices.
Features:
Candle Selection for Fibonacci Analysis: Select any candle based on its time to plot Fibonacci levels, giving you control over the period of analysis.
Customizable .236 and .618 Fibonacci Levels: Plot and customize the .236 and .618 Fibonacci retracement and extension levels. Adjust color and line style for each level to fit your chart preferences.
User-Friendly Interface: Easy-to-use input fields for selecting the candle time and configuring Fibonacci settings. Intuitive toggle options to display or hide specific Fibonacci levels.
Dynamic Updating: The indicator updates in real-time as new price data is received, ensuring you have the latest Fibonacci levels on your chart.
Usage Case:
This indicator is ideal for day traders and technical analysts who utilize Fibonacci tools to identify potential support and resistance levels, trend reversals, or continuation patterns. Whether you are analyzing a high-impact news event candle or a significant pivot point in the trading day, this indicator helps bring clarity to your Fibonacci-based trading strategy.
Guidelines for Usage:
Use the indicator settings to select the candle time and configure your desired Fibonacci levels. You can choose any time you want, in order to use premarket candles you need to enable electronic hours on your chart to have levels plot from pre/post.
These auto plotted levels can act as pivot points or points of support and resistance for traders to make informed trading decisions near these levels. Analyze the plotted Fibonacci levels in conjunction with other technical indicators or price action patterns for informed trading decisions.
Conclusion:
This indicator is a versatile and essential tool for traders who rely on Fibonacci analysis as part of their trading arsenal. By offering the flexibility to analyze specific candles and customize Fibonacci levels, this indicator empowers you to make more informed trading decisions. Its user-friendly design and real-time updating capabilities ensure that you have access to accurate and relevant Fibonacci data at any moment of the trading day.
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Opening RangeThe opening range or first 30 minutes of trading during the day sets the tone and becomes an important reference through the rest of the day. Price will react as it reaches the high and low of the opening range.
Backtesting has shown that the strategies based on the opening range have merit and provide an edge in trading. By not being aware of these points of reference you put yourself at risk.
In addition to the opening range, the distance from the high or low of the opening range plus the width of the opening range forms another important reference point.
Opening Range Rules.
Price must break out of the opening range in order to have a trending day. As long as price is inside the opening range, expect the trade to be choppy.
Once price leaves the opening range the market can begin to trend. However, before it trends most times it will retest the boundary of the opening range. This is a critical point, and a better than average entry for a position to join the trend. However, if price closes back inside the opening range watch out. Re-entry to the opening range has a high probability of going to the middle of the opening range, and a better than average probability of crossing the entire opening range.
In the above chart we can see price broke below the opening range then returned to retest the opening range before beginning a downward trend that delivered 175 pts on NQ.
Upon re-entering the opening range price tried to break down again but ultimately traveled up until it hit the 50% mark of the opening range.
Once a trend has begun the first target is the green line which is 1 width of the opening range outside of the opening range.
Once price broke out of the opening range to the upside, it came back to retest the opening range high, before beginning an uptrend that delivered 120 pts on NQ.
ARIMA Moving Average and Forecaster [SS]Finally releasing this. This took months, over 3 months to be precise, to figure out, code and troubleshoot! I honestly was going to give up on this project, but I finally got it to actually work fairly reliably. So hopefully you like it!
This is a very basic ARIMA modeler. It can do the following:
1. Provide you with an ARIMA based Moving Average;
2. Provide you with a standard error band;
3. Auto-select a lag length for assessment based on stationarity;
3. Provide you with the option of extending the error range by a user selected amount of standard deviations; and
4. Forecasting and plotting the forecast on the chart.
I will go over each function individually, but before I do, I think its important to talk a bit about what an ARIMA Model is and does:
ARIMA stands for AutoRegressive Integrated Moving Average and is an approach to modeling and time series forecasting. In simple terms, it combines autoregressive (AR) and moving average (MA) components to capture the underlying patterns in a time series data. The "AutoRegressive" part accounts for the relationship between an observation and its previous values, while the "Moving Average" part considers the relationship between an observation and a residual error from past observations. The "Integrated" component involves differencing the time series to make it stationary, which aids in stabilizing the model. ARIMA models help predict future values based on patterns observed in historical data, making them useful for forecasting in various fields such as economics, finance, and weather prediction.
The benefits to ARIMA is it will forecast based on the current trend, but it also provides for both the up and down scenario of the trend (i.e., if we are in a downtrend, what it would look like and what values we could expect if the trend reverses and vice versa). All of this is within the scope of this indicator, believe it or not!
If you would like more information on ARIMA, you can check out my educational post about it here:
Alrighty, now for the indicator functions.
ARIMA Moving Average and Standard Error Band
The ARIMA moving average is very simple, it takes the SMA of the current trend, lags it and plots out the lagged SMA. You can toggle the auto-select lag on, or you can pick your own lag manually. The above image is an auto-selected lag, but if we manually lag it by 5, this is what it looks like:
Its simply a lagged average of the 5 SMA (that is essentially how ARIMA works, by creating a moving average and lagging the moving average).
There are some implications to selecting a lag factor when it comes to forecasting, but I will cover this in the forecasting section. But I do want to make mention, you can use the ARIMA moving average in lieu of other moving averages. The advantage to doing this is it will be able to plot out the error bands. For example, if we wanted to get an ARIMA MA of the 200 SMA, we can toggle on the error bands and this is what we get:
Or the 50 MA:
NOTE: You ABSOLUTELY SHOULD NEVER use more than a lag of 4 or 5 for Forecasting (will be discussed later).
Auto-Select Lag
The indicator pulls the ARIMA modeler framework from my Forecasting library and pulls the stationarity assessment from my SPTS library. When you are doing an ARIMA model for forecasting, we need to ensure the data is stationary. Thus, if you want to forecast out the current trend, its highly recommended you select the "Auto Determine Lag Length" to find the most appropriate lag and forecast accordingly.
You can, however, chose your own lag order (model order), but this should never be above 4 or 5.
You should never select a lag of more than 5 because you are introducing too much "trendiness" into the equation, and you will get astronomical readings. ARIMA models never generally exceed a lag of 3 or 4 at most, as they are supposed be stationary and de-trended.
Extending by Standard Deviation
There is an option to select a standard deviation extension band. This is helpful for active day trading. Here is NIO extended by 2 standard deviations:
General suggestion is to only extend by 2 standard deviations and this is sufficient for most stocks.
Forecasting
The hallmark of an ARIMA model is the ability to use it for forecasting. Thus, the forecasting feature is a large portion of this indicator. You can see it displayed in the main chart above, but let's show some other examples:
NIO on the 1 hour:
TSLA on the 4 hour:
You can also display a forecasting table:
The result row shows the most likely, conservative, price at each time increment.
The Upper Confidence and Lower Confidence show what the trend would look like if it continued up or down at the current rate and the 95% confidence intervals show the values that the true source is likely to fall between at various increments in time with a 95% confidence (i.e. 95% probability that it should fall between these levels at period xyz assuming normal distribution).
The important levels, in my opinion, are the upper and lower confidence levels. These show you the current rate of decline or increase that the stock is expecting and what the trend would look like with a continuation or a reversal. This is ARIMA's biggest strength, as it has the ability to plot both outcomes assuming the current trend rate and time remains constant.
And that is the indicator! ARIMA is a bit of a complex process, but its a very powerful tool when used properly!
Troubleshooting:
One thing of note. Sometimes when autoselecting a length for forecasting, if there has been a heavy trend in one direction, you will not get the upper or lower confidence levels because of the lack of any up or down movement. In this case, manually select a lag of 3 to 5 to correct for this.
Let me know if you have any questions below and safe trades everyone!
kou_diThe Simple Moving Average (SMA) is the most basic and widely used type of moving average. It’s calculated by taking the arithmetic mean of a given set of prices or data points over a specified period.
SMA = (P1 + P2 + ... + Pn) /n
Where
P1, P2, ... , Pn = prices of data points
n = number of periods
When a new SMA is calculated for a new candle stick, the oldest data point P1 is removed from the original data points (P1 + P2 + ... + Pn) and a new price Pn+1 is added to form a new SMA:
SMA_new = (P2 + ... + Pn + Pn+1) /n
If Pn+1 < P1, SMA line will become downward trend, or if Pn+1 > P1, SMA line will become upward trend. This logic help us predict the moving direction of SMA line which will form the prices trend in the future.
So it's important to highlight the "P1" candle stick for SMAs of different periods to help us predict the trend of SMA lines.
Since SMA5, SMA10, SMA20, SMA60, SMA120, SMA250 are the most popular SMAs, this indicator marks the "P1" candle stick for all of them by default, but you can optionally disable them.
该指标用于显示SMA5, SMA10, SMA20, SMA60, SMA120, SMA250 的扣抵位来监测均线拐点的出现
Split VolumeThe Split Volume indicator displays 'Upwards' and 'Downwards' volume with an additional method for distributing 'split' candle volume.
A 'split' candle is a candle whose direction is...'Split'...since the open and close are equal. (Ex. Doji)
Upwards and Downwards Volume is tracked by comparing the Open and Closes of the Lower Timeframes.
If the Close is Greater-than the Open, we track the Volume as 'Upwards' Volume.
If the Close is Less-than the Open, we track the Volume as 'Downwards' Volume.
If the Close and Open are Equal, we assume that the Volume is an even split 50/50, and track it as such.
The indicator pulls data from lower timeframes to achieve more granular Open,Close,& Volume Data
Specifically:
<5m Timeframe: 1 Second LTF
<60m Timeframe: 5 Second LTF
<1D Timeframe: 1 Minute LTF
>1D Timeframe: 60m LTF
We have also included some nice-to-have features
50% Volume Line: This line splits each columns in half, this is used as quick reference to see exactly which side the volume is on.
High Volume Candle Identification: We are detecting bars with high relative volume and coloring them on the upper chart for use as important zones.
Status Line Readouts: The Status line for this indicator is formatted for simple reading. It Reads(Left-to-Right):Total Volume, Downwards Volume, 50% Value, Upwards Volume
CANDLE LEVELS [PRO]This indicator provides you with 55 levels! with labels to help you identify quickly where current price is in relation to the OPEN, CLOSE, HIGH OF DAY and LOW OF DAY to a respective level. Choose from levels as low as the 5 minute time frame all the way up to 200 days. All of the levels except the day's OPEN, HIGH OF DAY AND LOW OF DAY use the PREVIOUS time frame's level. In other words, when you're looking at the "1 DAY HIGH", that's actually the previous day's HIGH OF DAY. Whether you're a scalper on the lower time frames or a swing trader that mainly uses the 1 hour and above, these candle levels can be an invaluable source of support and resistance; in other words you'll often see price bounce off of a level (whether price is increasing or decreasing) once or multiple times and that could be an indication of a price's direction. Another way that you could utilize this indicator is to use it in confluence with other popular signals, such as an EMA crossover. For instance, you could watch as price rises above the 21 EMA all the while price is also crossing up and over the previous day's HIGH OF DAY with a relative volume that's double that of the previous week's average. These are just a few of some potential bullish signals that you could look for to go long on a trade using the candle levels provided.
I've made this indicator extremely customizable:
⚡Each level has 2 labels: 1 "at level" and 1 "at right", each label and price can be disabled
⚡Each label has its own input for label padding. The "at right" label padding input allows you to zoom in and out of a chart without the labels moving along their respective axis
⚡Each label's text can be customized via an "input.string" code base
⚡Each level's label can be changed via a plot style setting to determine if the label is centered with it's respective level or rides along the top of it
⚡Significant figures input allows you to round price up or down
⚡A "bias EMA" tool that color codes the candles and price line to show you where price is in relation to the 21 EMA (or another value that you pick). As a result, this can be an effective visual to help reduce cognitive load
⚡A "fill level" where color is determined by price opening above or below the previous day's close
⚡A "use current close" setting that's great to use in pre-market as it shows you where price is in relation to the previous days' close
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🙏Thanks to (c)satymahajan for the inspiration behind the ATR "previous close" and "bias candle" code base
🙏Thanks to my mentor (c)SimpleCryptoLife for the libraries and extensive code to help create this indicator
Weighted Alpha with Zero line indicatorDescription:
This script introduces an Enhanced Weighted Alpha Indicator, designed for traders and analysts who seek a more nuanced view of market momentum and trend strength. The Weighted Alpha is a sophisticated measure that combines the concepts of price change and consistency of trend over a specified period. This version of the indicator is enhanced with a customizable lambda value, allowing users to fine-tune the sensitivity according to their trading strategy.
Key Features:
Weighted Alpha Calculation: The script calculates the Weighted Alpha based on the daily return of the asset, adjusted by a decay factor (lambda). This provides a smoothed, long-term view of the asset's momentum.
Customizable Lambda: Users can adjust the lambda value to modify the rate at which older data decreases in relevance. A higher lambda value gives more weight to recent data, making the indicator more sensitive to recent price movements.
Zero Line Indicator: A dotted red horizontal line at the 0 value on the y-axis serves as a quick visual reference. This line helps in identifying when the Weighted Alpha crosses from positive to negative or vice versa, indicating potential shifts in market momentum.
Separate Chart Pane: The Weighted Alpha is plotted on a separate pane below the main chart, providing a clear and uncluttered view.
Usage:
Trend Analysis: A positive Weighted Alpha indicates an upward trend, while a negative value suggests a downward trend. The magnitude of the Weighted Alpha gives an idea of the trend's strength.
Crossover Signals: Watch for the Weighted Alpha line crossing the zero line. Such crossovers can signal potential trend reversals.
Customization: Experiment with different lambda values to match the indicator's sensitivity with your trading style. A lower lambda smooths out the line more, while a higher lambda makes it more responsive to recent price changes.
Conclusion:
This Enhanced Weighted Alpha Indicator is a powerful tool for traders looking to analyze and anticipate market trends with greater precision. Its customization options and clear visual representation make it a valuable addition to any trader's toolkit.
