Autocorrelation - The Quant ScienceAutocorrelation - The Quant Science it is an indicator developed to quickly calculate the autocorrelation of a historical series. The objective of this indicator is to plot the autocorrelation values and highlight market moments where the value is positive and exceeds the attention threshold.
This indicator can be used for manual analysis when a trader needs to search for new price patterns within the historical series or to create complex formulas in estimating future prices.
What is autocorrelation?
Autocorrelation in trading is a statistical measure used to determine the presence of a relationship or pattern of dependence between values in a financial time series over time. It represents the correlation of past values in a series with its future values. In other words, autocorrelation in trading aims to identify if there are systematic relationships between the past prices or returns of a security or market and its future prices or returns. This analysis can be helpful in identifying patterns or trends that can be leveraged for informed trading decisions. The presence of autocorrelation may suggest that market prices or returns follow a certain pattern or trend over time.
Limitations of the model
It is important to note that autocorrelation does not necessarily imply a causal relationship between past and future values. Other variables or market factors may influence the dynamics of prices or returns, and therefore autocorrelation could be merely a random coincidence. Therefore, it is essential to carefully evaluate the results of autocorrelation analysis along with other information and trading strategies to make informed decisions.
How to use
The usage is very simple, you just need to add it to the current chart to activate the indicator.
From the user interface, you can manage two important features:
1. Lenght: the delay period applied to the historical series during the autocorrelation calculation can be managed from the user interface. By default, it is set to 20, which means that the autocorrelation ratio within the historical series is calculated with a delay of 20 bars.
2. Threshold: the threshold value that the autocorrelation level must meet can be managed from the user interface. By default, it is set to 0.50, which means that the autocorrelation value must be higher than this threshold to be considered valid and displayed on the chart.
3. Bar color: the color used to display the autocorrelation data and highlight the bars when autocorrelation is valid can be managed from the user interface.
To set up the chart
We recommend disabling the 'wick' and 'border' of the candlesticks from the chart settings for a high-quality user experience.
Forecast
Gann Price LevelsGann Price Level is a powerful indicator based on the methods of the legendary trader William D. Gann. It provides traders with the ability to forecast future targets, both trending and retracement, based on just three anchor points and generates clear entry signals in the form of arrows. This indicator offers broad capabilities that assist traders in making informed decisions and optimizing their trading strategies. Here are a few key features of this indicator:
Calculation of future targets: Gann Price Level allows traders to determine potential price levels that may be reached in the future. It is based on the concept of geometric levels and numerical relationships, making it an effective tool for forecasting future price movements. Its algorithm incorporates geometry, mathematics, and Gann's angular relationships.
Three-point approach: One of the main advantages of Gann Price Level is its ability to work with only three anchor points. Traders need to specify three (ABC) points forming a triangle, and the indicator automatically calculates the target price levels. This simplifies the analysis process and makes it more intuitive.
Entry signals: In addition to forecasting target levels, Gann Price Level provides clear entry signals in the form of arrows. This helps traders identify optimal moments to enter positions, improving the accuracy of their trades.
Timeframes: Gann Price Level can be applied to various time intervals, including both short-term and long-term charts. This allows traders to adapt the indicator to their trading strategies and trade across different markets.
Versatility: Gann Price Level can be used to analyze various financial instruments, including stocks, forex, commodities, cryptocurrencies, and more. This makes it a versatile tool for traders operating in different market segments.
Another key feature of this indicator is the additional level calculation algorithm, which, when working with a trend, forms an optimal gray zone for forming point C, while when calculating retracement levels, it adds an additional magnetic target in the form of a gray zone.
Additionally, traders can combine this indicator with other indicators or chart patterns to obtain more accurate signals and confirmations. Moreover, Gann Price Level works effectively in both upward and downward trends, making it a flexible tool for traders of different trading styles. It can be used to determine potential support and resistance levels, as well as entry and exit points for positions.
Working with this indicator is straightforward. The user needs to select three (ABC) points forming a triangle, and the indicator will automatically calculate the future price targets. An entry arrow will also appear, enabling the user to enter the trade in a timely manner. The stop loss is placed slightly below point C (at the spread distance) for buy trades and above point C (at the spread distance) for sell trades. The first target is represented by a dashed line. Once this target is reached, a portion of the position (usually 50%) is closed, and the stop loss is moved to breakeven. The remaining part of the position is held until subsequent price levels based on personal preferences.
Construction rules:
When calculating targets in an upward trend, point A is below points BC, and point C is always between points AB.
When calculating targets in a downward trend, point A is above points BC, and point C is always between points AB.
When calculating retracement targets in an upward trend, point B is above points AC, point A is always between points BC, and point C is below AB.
When calculating retracement targets in a downward trend, point B is below points AC, point A is always between points BC, and point C is above AB.
This indicator relies entirely on the manual construction of the ABC points by the user.
Inverted ProjectionThe "Inverted Projection" indicator calculates the Simple Moving Average (SMA) and draws lines representing an inverted projection. The indicator swaps the highs and lows of the projection to provide a unique perspective on price movement.
This indicator is a simple study that should not be taken seriously as a tool for predicting future price movements; it is purely intended for exploratory purposes.
Auto Trend ProjectionAuto Trend Projection is an indicator designed to automatically project the short-term trend based on historical price data. It utilizes a dynamic calculation method to determine the slope of the linear regression line, which represents the trend direction. The indicator takes into account multiple length inputs and calculates the deviation and Pearson's R values for each length.
Using the highest Pearson's R value, Auto Trend Projection identifies the optimal length for the trend projection. This ensures that the projected trend aligns closely with the historical price data.
The indicator visually displays the projected trend using trendlines. These trendlines extend into the future, providing a visual representation of the potential price movement in the short term. The color and style of the trendlines can be customized according to user preferences.
Auto Trend Projection simplifies the process of trend analysis by automating the projection of short-term trends. Traders and investors can use this indicator to gain insights into potential price movements and make informed trading decisions.
Please note that Auto Trend Projection is not a standalone trading strategy but a tool to assist in trend analysis. It is recommended to combine it with other technical analysis tools and indicators for comprehensive market analysis.
Overall, Auto Trend Projection offers a convenient and automated approach to projecting short-term trends, empowering traders with valuable insights into the potential price direction.
Ultimate Trend LineThe "Ultimate Trend Line" indicator, designed for overlay on financial charts, calculates and plots a global trend line. It works by first allowing users to input several parameters such as different lengths for up to 21 groups, a multiplier that defines the deviation from the linear regression line for calculating the upper and lower bands, and a color for the fill.
Using these inputs, it calculates the upper and lower bands for each length group based on a multiple of the standard deviation from the linear regression line. It then averages these bands to define the global trend line, which is plotted on the graph.
Although the code includes commented-out lines for plotting each individual upper and lower band, the indicator as it stands only displays the overall average trend line. The line's color and linewidth can be adjusted according to user preferences.
This indicator can be effectively used on both logarithmic and linear scales. This versatility allows it to be adaptable to various types of financial charts and trading styles, providing a flexible tool for users to assess and visualize trend patterns across different market conditions and time frames. It maintains its accuracy and relevance, regardless of the scale used, thus making it a comprehensive solution for trend line analysis in diverse scenarios.
It's important to note that the "Ultimate Trend Line" indicator requires a substantial amount of historical data to function properly. If insufficient historical data is available, the indicator may not display accurately or at all. This issue is particularly prevalent when using larger time units, such as weekly or monthly charts, where the available data may not stretch back far enough to satisfy the requirements of the indicator. As such, users should ensure they are operating on a time scale and data set that provides adequate historical depth for the reliable operation of this indicator.
TrueLevel BandsTrueLevel Bands is a powerful trading indicator that employs linear regression and standard deviation to create dynamic, envelope-style bands around the price action of a financial instrument. These bands are designed to help traders identify potential support and resistance levels, trend direction, and volatility.
The TrueLevel Bands indicator consists of multiple envelope bands, each constructed using different timeframes or lengths, and a multiple (mult) factor. The multiple factor determines the width of the bands by adjusting the number of standard deviations from the linear regression line.
Key Features of TrueLevel Bands
1. Multi-Timeframe Analysis: Unlike traditional moving average-based indicators, TrueLevel Bands allow traders to incorporate multiple timeframes into their analysis. This helps traders capture both short-term and long-term market dynamics, offering a more comprehensive understanding of price behavior.
2. Customization: The TrueLevel Bands indicator offers a high level of customization, allowing traders to adjust the lengths and multiple factors to suit their trading style and preferences. This flexibility enables traders to fine-tune the indicator to work optimally with various instruments and market conditions.
3. Adaptive Volatility: By incorporating standard deviation, TrueLevel Bands can automatically adjust to changing market volatility. This feature enables the bands to expand during periods of high volatility and contract during periods of low volatility, providing traders with a more accurate representation of market dynamics.
4. Dynamic Support and Resistance Levels: TrueLevel Bands can help traders identify dynamic support and resistance levels, as the bands adjust in real-time according to price action. This can be particularly useful for traders looking to enter or exit positions based on support and resistance levels.
5. The "Global Trend Line" refers to the average of the bands used to indicate the overall trend.
Why TrueLevel Bands are Different from Classic Moving Averages
TrueLevel Bands differ from conventional moving averages in several ways:
1. Linear Regression: While moving averages are based on simple arithmetic means, TrueLevel Bands use linear regression to determine the centerline. This offers a more accurate representation of the trend and helps traders better assess potential entry and exit points.
2. Envelope Style Bands: Unlike moving averages, which are single lines, TrueLevel Bands form envelope-style bands around the price action. This provides traders with a visual representation of potential support and resistance levels, trend direction, and volatility.
3. Multi-Timeframe Analysis: Classic moving averages typically focus on a single timeframe. In contrast, TrueLevel Bands incorporate multiple timeframes, enabling traders to capture a broader understanding of market dynamics.
4. Adaptive Volatility: Traditional moving averages do not account for changing market volatility, whereas TrueLevel Bands automatically adjust to volatility shifts through the use of standard deviation.
The TrueLevel Bands indicator is a powerful, versatile tool that offers traders a unique approach to technical analysis. With its ability to adapt to changing market conditions, provide multi-timeframe analysis, and dynamic support and resistance levels, TrueLevel Bands can serve as an invaluable asset to both novice and experienced traders looking to gain an edge in the markets.
Price Action Color Forecast (Expo)█ Overview
The Price Action Color Forecast Indicator , is an innovative trading tool that uses the power of historical price action and candlestick patterns to predict potential future market movements. By analyzing the colors of the candlesticks and identifying specific price action events, this indicator provides traders with valuable insights into future market behavior based on past performance.
█ Calculations
The Price Action Color Forecast Indicator systematically analyzes historical price action events based on the colors of the candlesticks. Upon identifying a current price action coloring event, the indicator searches through its past data to find similar patterns that have happened before. By examining these past events and their outcomes, the indicator projects potential future price movements, offering traders valuable insights into how the market might react to the current price action event.
The indicator prioritizes the analysis of the most recent candlesticks before methodically progressing toward earlier data. This approach ensures that the generated candle forecast is based on the latest market dynamics.
The core functionality of the Price Action Color Forecast Indicator:
Analyzing historical price action events based on the colors of the candlesticks.
Identifying similar events from the past that correspond to the current price action coloring event.
Projecting potential future price action based on the outcomes of past similar events.
█ Example
In this example, we can see that the current price action pattern matches with a similar historical price action pattern that shares the same characteristics regarding candle coloring. The historical outcome is then projected into the future. This helps traders to understand how the past pattern evolved over time.
█ How to use
The indicator provides traders with valuable insights into how the market might react to the current price action event by examining similar historical patterns and projecting potential future price movements.
█ Settings
Candle series
The candle lookback length refers to the number of bars, starting from the current one, that will be examined in order to find a similar event in the past.
Forecast Candles
Number of candles to project into the future.
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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!
Gamma Bands v. 7.0Gamma Bands are based on previous day data of base intrument, Volatility , Options flow (imported from external source Quandl via TradingView API as TV is not supporting Options as instruments) and few other additional factors to calculate intraday levels. Those levels in correlation with even pure Price Action works like a charm what is confirmed by big orders often placed exactly on those levels on Futures Contracts. We have levels +/- 0.25, 0.5 and 1.0 that are calculated from Pivot Point and are working like Support and Resistance. Higher the number of Gamma, stronger the level. Passing Gamma +1/-1 would be good entry point for trades as almost everytime it is equal to Trend Day. Levels are calculated by Machine Learning algorithm written in Python which downloads data from Options and Darkpool markets, process and calculate levels, export to Quandl and then in PineScript I import the data to indicator. Levels are refreshed each day and are valid for particular trading day.
There's possibility also to enable display of Initial Balance range (High and Low range of bars/candles from 1st hour of regular cash session). Breaking one of extremes of Initial Balance is very often driving sentiment for rest of the session.
Volatility Reversal Levels
They're calculated taking into account Options flow imported to TV (Strikes, Call/Put types & Expiration dates) in combination with Volatility, Volume flow. Based on that we calculate on daily basis Significant Close level and "Stop and Reversal level".
Very often reaching area close to those levels either trigger immediate reversal of previous trend or at least push price into consolidation range.
[TTI] ToS MarketForecast Indicator––––HISTORY & CREDITS 🏦
The ThinkorSwim Market Forecast indicator is an adaptation of the Market Forecast indicator originally created for the ThinkorSwim trading platform. This version has been adapted for use in TradingView, replicating the functionality of the original indicator to assist traders in their market analysis.
––––WHAT IT DOES 💡
The ThinkorSwim Market Forecast is a technical indicator designed to identify potential buying and selling opportunities based on market analysis techniques applied to multiple timeframes. It consists of three plots: Momentum (red line), NearTerm (blue line), and Intermediate (green line). These plots tend to cycle on daily, weekly, and monthly basis, respectively. The indicator also includes static lines representing the top, bottom, and reversal zones.
Calculations:
The ThinkorSwim Market Forecast indicator is a technical analysis tool that calculates three separate lines – Momentum, NearTerm, and Intermediate – to help traders identify potential buying and selling opportunities. The calculations are based on market data from multiple timeframes and involve measuring price movements in relation to their recent high and low values. The indicator highlights areas of potential reversals in the upper and lower zones, allowing traders to make more informed decisions on when to enter or exit a position.
––––HOW TO USE IT 🔧
To use the ThinkorSwim Market Forecast indicator, look for simultaneous reversals of the three lines in the upper or lower zones. A Buy signal is generated when all three lines go through a reversal at the same (or almost the same) time in the bottom zone (green cloud). Conversely, a simultaneous reversal in the upper zone (red cloud) suggests a Sell signal.
To add this indicator to your TradingView chart, copy the provided script and paste it into the Pine editor. Save and add the script to your chart, and the indicator will be displayed, allowing you to analyze the market based on the Momentum, NearTerm, and Intermediate lines, as well as the upper and lower reversal zones.
Trend forecasting by c00l75----------- ITALIANO -----------
Questo codice è uno script di previsione del trend creato solo a scopo didattico. Utilizza una media mobile esponenziale (EMA) e una media mobile di Hull (HMA) per calcolare il trend attuale e prevedere il trend futuro. Il codice utilizza anche una regressione lineare per calcolare il trend attuale e un fattore di smorzamento per regolare l’effetto della regressione lineare sulla previsione del trend. Infine il codice disegna due linee tratteggiate per mostrare la previsione del trend per i periodi futuri specificati dall’utente. Se ti piace l'idea mettimi un boost e lascia un commento!
----------- ENGLISH -----------
This code is a trend forecasting script created for educational purposes only. It uses an exponential moving average (EMA) and a Hull moving average (HMA) to calculate the current trend and forecast the future trend. The code also uses a linear regression to calculate the current trend and a damping factor to adjust the effect of the linear regression on the trend prediction. Finally, the code draws two dashed lines to show the trend prediction for future periods specified by the user. If you like the idea please put a boost and leave a comment!
Volume Forecasting [LuxAlgo]The Volume Forecasting indicator provides a forecast of volume by capturing and extrapolating periodic fluctuations. Historical forecasts are also provided to compare the method against volume at time t .
This script will not work on tickers that do not have volume data.
🔶 SETTINGS
Median Memory: Number of days used to compute the median and first/third quartiles.
Forecast Window: Number of bars forecasted in the future.
Auto Forecast Window: Set the forecast window so that the forecast length completes an interval.
🔶 USAGE
The periodic nature of volume on certain securities allows users to more easily forecast using historical volume. The forecast can highlight intervals where volume tends to be more important, that is where most trading activity takes place.
More pronounced periodicity will tend to return more accurate forecasts.
The historical forecast can also highlight intervals where high/low volume is not expected.
The interquartile range is also highlighted, giving an area where we can expect the volume to lie.
🔶 DETAILS
This forecasting method is similar to the time series decomposition method used to obtain the seasonal component.
We first segment the chart over equidistant intervals. Each interval is delimited by a change in the daily timeframe.
To forecast volume at time t+1 we see where the current bar lies in the interval, if the bar is the 78th in interval then the forecast on the next bar is made by taking the median of the 79th bar over N intervals, where N is the median memory.
This method ensures capturing the periodic fluctuation of volume.
Momentum Covariance Oscillator by TenozenWell, guess what? A new indicator is here! Again it's a coincidence, as I experiment with my formula. So far it's less noisy than Autoregressive Covariance Oscillator, so possibly this one is better. The formula is much simpler, care me to explain.
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Yt = close - previous average
Val = Yt/close
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Welp that's the formula lol. Funny thing is that it's so simple, but it's good! What matters is the use of it haha.
So how to use this Oscillator? If the value is above 0, we expect a bullish response, if the value is below 0 we expect a bearish response. That simple. Ciao.
(Any questions and suggestions? feel free to comment!)
Autoregressive Covariance Oscillator by TenozenWell to be honest I don't know what to name this indicator lol. But anyway, here is my another original work! Gonna give some background of why I create this indicator, it's all pretty much a coincidence when I'm learning about time series analysis.
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Well, the formula of Auto-covariance is:
E{(X(t)-(t) * (X(t-s)-(t-s))}= Y_s
But I don't multiply both values but rather subtract them:
E{(X(t)-(t) - (X(t-s)-(t-s))}= Y_s?
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For arm_vald, the equation is as follows:
arm_vald = val_mu + mu_plus_lsm + et
val_mu --> mean of time series
mu_plus_lsm --> val_mu + LSM
et --> error term
As you can see, val_mu^2. I did this so the oscillator is much smoother.
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After I get the value, I normalize them:
aco = Y_s? / arm_vald
So by this calculation, I get something like an oscillator!
(more details in the code)
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So how to use this indicator? It's so easy! If the value is above 0, we gonna expect a bullish response, if the value is below 0, we gonna expect a bearish response; that simple. Be aware that you should wait for the price to be closed before executing a trade.
Well, try it out! So far this is the most powerful indicator that I've created, hope it's useful. Ciao.
(more updates for the indicator if needed)
Fed Projected Interest RatesThis script shows you the current interest rates by the FED (see ZQ symbol nearest expiration)
and the next expirations (see ZQ further expiration dates).
It is important to keep your expiration and descriptions up to date, to do that to the indicator inputs and change as you please.
Trendgetter: Trend Detection, Regime Change, Bias Filter by [CR]Trendgetter: Trend Detection, Regime Change, Bias Filter by Cryptorhythms
“If you are not a trend setter, at least be able to exploit the ones you see.”
― Jeffrey Fry
Intro
Cryptorhythms back again with a members only indicator for trend capture this time! Trendgetter is not crypto specific and can be applied to a variety of timeframes, markets, and tickers. Its meant to be a general purpose trading aid and bias filter, providing reliable trend, bias and regime change information.
Introduction
This indicator relies upon various methods related to probabilities/statistics, digital signal processing and data science to predict optimal fair local price given any financial time series data. The goal was to create a tool that isolates trends and captures their bias, making it easier to follow a noisy market. The focus is making high hit rate uncorrelated returns to your base market. The way in which this indicator is constructed is not based upon any previous public work, and was researched and refined over a period of 6 months of trading and testing based on my own personal trading experiences and observations of the market. I use novel techniques I developed in house to denoise the data and determine a local fair price.
Description
The parameters in this indicator are mostly fixed and do not lend themselves to overfitting. So when you find good settings, its probably legit and not a false positive. They were pre-determined based on my own testing and research to handle almost all possible combinations of price action for determining trends. By fixing some parameters, you automatically reduce the chances of overfitting to historical data. The pre determined levels were carefully chosen after many options were considered.
Not just a bias filtooor, fair price predictooor and regime change detectoooor though! TG also provides a price envelope feature which shows a likely fair price range that price will distribute itself upon. Above or below the envelope indicates the presence of a very strong trend . Within the envelope indicates consolidation , but still conforming to the bias. TG then uses a statistics-based approach to display a likely range that price could potentially travel over the near term which we called a price envelope.
An additional option provides background coloration when there is the potential for a regime change on the trend bias. This can be used as a feature to help you manage your trades risk. This is simply measured by an internal (non exposed) script value returning to a mean which triggers the color to appear.
Further Explanation of Settings
-Timeframe : Change the timeframe the indicator is calculated on allowing you to for instance use the 15m Trendgetter output while remaining on the 5 minute chart.
-Trend Capture : This is the "type" of trend you are trying to follow. The different options will attempt to find the trends at various levels of noise cancellation within the lookback period you specify. "Reactive" means it will quickly change its bias and capture smaller trends. "Slow" means it will filter more noise and capture larger trends. "Adaptive" is completely in its own class of behavior and was my attempt to mix both a slow and reactive profile into one setting, it uses a few market metrics like volume and volatility to adjust parameters on the fly.
-Sample Length : Bars to consider in the calculation. Using large numbers here is not going to help, but rather hurt your results. Generally 10-100 is the range you should use for the best results. The exact value will depend on the timeframe, volatility and market/asset you are trading, and you should experiment to find it. (There is no "one size fits all" for potential trading situations)
-Source : Data series used for calculation. I recommend hlcc4 or hl2 or hlc3 instead of just "close." This will help to pre process a noisy data series for the rest of the algo.
-Certainty Level : This setting effects how easily the indicator will confirm a new trend and change its bias. " Reactive" does just as it says and will confirm new regimes faster, but can also lead to false signals or "flip flop" in certain types of price action. "Slow" will change biases less frequently or in conjunction with large moves - but this level of certainty requires the sacrifice of reactivity meaning its a bit laggy (but thats ok when you are following a larger trend). "Medium" is as you would expect the middle ground between reactive and slow. Lastly "Adaptive" tends to fall between reactive and medium in its behavior typically, but it will somewhat adjust itself to suit the variability of market conditions.
-Price Envelope :
-----My own personally created price distribution spread (not monte carlo based)
-----Above or below the envelope indicates the presence of a very strong trend. You should not be fading a trend when its in this position!
-----Within the envelope indicates consolidation, but still conforming to the bias.
User Requests :
Of course we also listen to the needs of our members and added these features upon request.
-Added dark mode and light mode themes.
----Dark Mode is for dark/black charts and uses lighter colorations
----Light mode is for light/white charts and uses darker colorations
-More updates to display and color selection options such as background colors and fill colors.
BB Mod + ForecastThis is a combination of two previous indicators; ALMA stdev band with fibs and Vector MACD.
Bollinger Band Mod fits the standard deviation on both sides of the center moving average ( ALMA +/- stdev / 2 ) and calculates Fibonacci ratios from stdev on both sides.
It is more averaging and more responsive at the same time compared to Bollinger Band.
Forecast is calculated from difference between origin ma ( ALMA from hl2 ) and six different period Hull moving averages averaged together and added to the center ma on both sides.
Fibonacci levels for 0.618 1.618 and 2.618 are added.
The dashed lines point towards the trend. Gives you a better idea of the current trend and momentum in the band.
Faytterro Oscillatorwhat is Faytterro oscillator?
An oscillator that perfectly identifies overbought and oversold zones.
what it does?
this places the price between 0 and 100 perfectly but with a little delay. To eliminate this delay, it predicts the price to come, and the indicator becomes clearer as the probability of its prediction increases.
how it does it?
This indicator is obtained with "faytterro bands", another indicator I designed. For more information about faytterro bands:
A kind of stochastic function is applied to the faytterro bands indicator, and then another transformation formula that I have designed and explained in detail in the link above is applied. These formulas are also applied again to calculate the prediction parts.
how to use it?
Use this indicator to see past overbought and oversold zones and to see future ones.
The input named source is used to change the source of the indicator.
The length serves to change the signal frequency of the indicator.
Hurst Spectral Analysis Oscillator"It is a true fact that any given time history of any event (including the price history of a stock) can always be considered as reproducible to any desired degree of accuracy by the process of algebraically summing a particular series of sine waves. This is intuitively evident if you start with a number of sine waves of differing frequencies, amplitudes, and phases, and then sum them up to get a new and more complex waveform." (Spectral Analysis chapter of J M Hurst's book, Profit Magic )
Background: A band-pass filter or bandpass filter is a device that passes frequencies within a certain range and rejects (attenuates) frequencies outside that range. Bandpass filters are widely used in wireless transmitters and receivers. Well-designed bandpass filters (having the optimum bandwidth) maximize the number of signal transmitters that can exist in a system while minimizing the interference or competition among signals. Outside of electronics and signal processing, other examples of the use of bandpass filters include atmospheric sciences, neuroscience, astronomy, economics, and finance.
About the indicator: This indicator will accept float/decimal length inputs to display a spectrum of 11 bandpass filters. The trader can select a single bandpass for analysis that includes future high/low predictions. The trader can also select which bandpasses contribute to a composite model of expected price action.
10 Statements to describe the 5 elements of Hurst's price-motion model:
Random events account for only 2% of the price change of the overall market and of individual issues.
National and world historical events influence the market to a negligible degree.
Foreseeable fundamental events account for about 75% of all price motion. The effect is smooth and slow changing.
Unforeseeable fundamental events influence price motion. They occur relatively seldom, but the effect can be large and must be guarded against.
Approximately 23% of all price motion is cyclic in nature and semi-predictable (basis of the "cyclic model").
Cyclicality in price motion consists of the sum of a number of (non-ideal) periodic cyclic "waves" or "fluctuations" (summation principle).
Summed cyclicality is a common factor among all stocks (commonality principle).
Cyclic component magnitude and duration fluctuate slowly with the passage of time. In the course of such fluctuations, the greater the magnitude, the longer the duration and vice-versa (variation principle).
Principle of nominality: an element of commonality from which variation is expected.
The greater the nominal duration of a cyclic component, the larger the nominal magnitude (principle of proportionality).
Shoutouts & Credits for all the raw code, helpful information, ideas & collaboration, conversations together, introductions, indicator feedback, and genuine/selfless help:
🏆 @TerryPascoe
🏅 DavidF at Sigma-L, and @HPotter
👏 @Saviolis, parisboy, and @upslidedown
Moving Average Touch PointsThis tool allows you to know at what price a security will touch its moving average today or tomorrow. This may sound simple, but today's action will influence the final value of the average itself, causing it to 'move' during the live session. This is problematic for people trying to use an average to place orders - especially with shorter-term averages. This tool shows the exact point mathematically where the price will equal its average on the current bar and the next bar. This allows you to plan precisely during a live trading session or in the evening for tomorrow's trading session.
The tool works on all time frames for people seeking to use it on intraday or weekly charts.
Acknowledgment
Thank you to @JohnMuchow for coding my formulas.
Wavechart v2 ##Wave Chart v2##
For analyzing Neo-wave theory
Plot the market's highs and lows in real-time order.
Then connect the highs and lows
with a diagonal line. Next, the last plot of one day (or bar) is connected with a straight line to the
first plot of the next day (or bar).
Cosmic Channel LiteCosmic Channel Lite ( CC Lite) draws dynamic non-repainting trendlines and helps
⭐ know when a breakout is about to begin
⭐ predict the position and timing of the next swing reversal
⭐ predict sudden changes in volatility
⭐ recognize whether the price is in bearish or bullish territory
👀 HOW IT WORKS
Cosmic Channel Lite draws a dynamic channel consisting of a support line, basis line and resistance line. These are calculated by applying the Reduced Median Method to groups of moving averages of different type over several periods each, effectively taking 20 data points and reducing them to 3. In between, 6 internal levels are left to give context inside the channel with stable levels, the extremes of which help highlight the SR lines (see chart). The basis line color is determined by its smoothed angle with positive angles in green and negative in purple. The aim of this indicator is to provide a consistent and generic price context that works out-of-the-box and accordingly the settings have been stripped to the bare minimum with no need to continually adjust them.
📗 HOW TO USE IT
The Cosmic Channel Lite plots are meant to be used as a guide for entering and exiting positions and setting stop-loss and take profit levels. The indicator is deemed effective for any particular timeframe as long as the price stays within the maximum bounds of the indicator's plots. For this reason it is recommended to use Cosmic Channel Lite in a multi-chart layout where each chart has a different timeframe. The 5 primary strategies are:
long when the price reverses off of the support line and short when the price reverses off of the resistance line
long when the support line is highlighted and short when the resistance line is highlighted
long when the price breaks above the resistance line and short when the price breaks below the support line
long when the price moves above the basis line after being below it for a prolonged period and visa-versa (short when the price moves below the basis line)
long/short in the direction the price takes after a stable level ends
🔔 SMART ALERTS
Get notified at the most critical times by settings just one alert. Simply select CC Lite and Any alert() function call as the conditions when creating an alert and you will be tipped-off on bar-close as follows:
R─ (resistance line is highlighted)
S─ (support line is highlighted)
For example, an alert such as CC Lite 6h R─ would mean that during the last 6-hour bar the resistance line has been highlighted. The highlight lasts at least 15 bars from the first highlight bar regardless of price action.
Movement Polarization (MoP)This shows the negative or positive charge of price movement and volume .
The "Polarization" shows how much negativity or positivity the movement of the price and volume have.
IMPORTANT:
Use with crypto currencies only is highly recommended.
If the volume in a currency is not visible, adjust the "Factor" number higher in the "Inputs" tab.
Adjust it until there is a balance between the vertical spread of the volume and polarization.
There will be a noticeable jump in the scale of the indicator if it is set too high.
The "Factor" is scaled at a baseline for SHIB prices. Any lower price scales than SHIB's will not show the volume .
Version:
This is a forked codebase to conserve the functionality of "RSI TV". The "RSI TV" focuses only on the RSI trend, this focuses on price and volume movement.
As such, there is no need for the MA of the RSI. Also, the TV Line from the "RSI TV" is used to show polarization of movement in this context.
The Trend Veracity line from the "RSI TV" has a broad scope in verifying different, particular trends, not just the RSI trend.
The RSI, volume, and polarization are all conveniently placed within the same scale to facilitate longer-term trading with price action. See also: "RSI TV" .
How this indicator is original; what it does, and how it does it:
This indicator has an original, unique ability to give the volume a further-projecting forecast.
The MoP does this by placing the volume on a vertical scale. It then compares it to a polarization level.
This gives 3 reference points: 1) Past data of volume, 2) volume vertical thresholds, and 3) polarization levels.
The volume by itself has no reference but its own past data. This gives a short-sighted forecast.
How to use it:
Useful with a trend finding indicator and price-action trading. See notes in picture above (scroll chart left to see first note).
Extra indicator shown in chart is an adjusted "ARL Bands" .
1) A condensing of volume and polarization usually means that an uptrend will soon turn.
2) A widening of volume and polarization usually means that a downtrend will soon turn.
3) A weak uptrend is indicated when volume falls while low, positive polarization also falls.
4) A growing uptrend is indicated when volume and positive polarization grow together.
5) Overlapping volume and positive polarization usually signifies oncoming peaks.
DB Change Forecast ProDB Change Forecast Pro
What does the indicator do?
The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction.
Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor.
A fast-moving change cloud is then calculated and displayed as the "regular version" plot (shown in light gray). When the cloud bottom is above low, a buy zone is detected. When the cloud top is below the high, a sell zone is detected.
The linear regression price channel is calculated similarly but using a much slower change rate. The linear regression price channel shows reasonable high, low and HLC3 ranges. At the bar's opening, the channel will be more compact and come fairly accurate about 1/4 into the bar timeframe.
The change forecasted price is projected on the right side of the current bar to indicate the current timeframe direction. Please note this forecasting feature is shown in orange when it's early in the timeframe and gray when the timeframe is more likely to produce an accurate direction forecast for the upcoming bar.
You can use these projected dashed lines to see possible market movements for the Current bar and possible market direction for the next bar. Kindly note these projects change; they should be used to understand possible extreme highs/lows for the current bar or market direction.
The indicator includes an optional change forecast projection feature hidden by default. It will project the market forecast channel with an offset of 1. The forecast is defaulted to an offset of 1 to show market direction. However, you can modify to zero the offset to show the current bar forecast and forecast history.
How should this indicator be used?
First, very important,
1. Settings > Set Symbol to Desired
2. Settings > Set High Timeframe to "Chart"
3. Settings > Ensure "Use price as divisor" is checked.
It's recommended to use this indicator in higher timeframes. Buy and sell signals are displayed in real-time. However, waiting until 1/4 to 1/2 into the current bar is recommended before taking action, and change can happen.
The buy/sell signals (zones) provide recommendations on playing a long vs. a short. When in a buy sone, only play longs. When in a sell zone, only play shorts.
Then use the linear regression price channel oversold and undersold zones to optionally open and close positions within the buy/sell zones.
For example, consider opening a long in a buy zone when the linear regression price channel shows undersold. Then consider closing the long when the price moves into the linear regression oversold or higher. Then repeat as long as it's in the buy zone. Then vice versa for sell zones and shorting.
At basic design, buy in the buy zone, sell or short in the sell zone. If you are up for higher trading frequencies, use the linear regression price channel as described in the example above.
Please note, as, with all indicators, you may need to adjust to fit the indicator to your symbol and desired timeframe.
This is only an example of use. Please use this indicator as your own risk and after doing your due diligence.
Does the indicator include any alerts?
Yes,
"DB CFHLC3: Signal BUY" - Is triggered when a buy signal is fired.
"DB CFHLC3: Signal SELL" - Is triggered when a sell signal is fired.
"DB CFHLC3: Zone BUY" - Is triggered when a buy zone is detected.
"DB CFHLC3: Zeon SELL" - Is triggered when a sell zone is detected.
"DB CFHLC3: Oversold SELL" - Is triggered when the price exceeds the oversold level.
"DB CFHLC3: Undersold BUY" - Is triggered when the price goes below the undersold level.
Any other tips?
Once you have configured the indicator for your symbol and chart timeframe. Meaning the plots are displayed over the price. Check out larger timeframes such as W, 2W, 3W, 4W, M, and 4M. It works wonderfully for showing market lows and highs for long-term investing too!
Another, tip is to combine it with your favorite indicator, such as TTM Squeeze or MACD for confirmation purposes. You may be surprised how fast the indicator shows market direction changes on higher timeframes.
You can just as easily use a high timeframe such as D, 2D, or 3D for day trading due to how the linear price channel works.
Why am I not selling this indicator?
I would like to bless the TradingView community, and I enjoy publishing custom indicators.
If you enjoy this indicator, please consider leaving a thumbs up or a comment for others to know about your experience or recommendations.
Enjoy!
