Outliers Detector with N-Sigma Confidence Intervals (TG fork)Display outliers in either value change, volume or volume change that significantly deviate from the past.
This uses the standard deviation calculation and the n-sigmas statistical rule of significance, with 2-sigma (a value of 2) signifying that the observed value is stronger than 95% of past values, and 3-sigma 98.5% of past values, and so on for higher sigma values.
Outliers in price action or in volume can indicate a strong support for the move, and hence potentially more moves in the same direction in the future. Inversely, an insignificant move is less likely to be supported. And of course the stronger, the more support.
This indicator also doubles as a standard volume indicator if volume is selected as the source, but with the option of highlighting outliers.
Bars below significance can be uncolored (gray) to unclutter the visuals.
Differently to almost all other similar indicators, the background highlighting is dynamical, so that all values will be highlighted differently, not just 2-sigma or 3-sigma, but also 4-sigma, 5-sigma, etc, with a different value of transparency.
The dynamical transparency value can be calculated in two ways: either statically proportionally to the n-sigma but capped at 10-sigma, or either as a ratio relative to the highest observed sigma value over the defined lookback period (default: 300).
If you like this indicator, which is an extension of previously published indicators, please give some love to the original authors:
* tvjvzl :
* vnhilton :
This extension, authored by Tartigradia, extends tvjvzl's indi, implements vnhilton's idea of highlighting the background, and go further by adding dynamical background highlighting for any value of sigma, add support for volume and volume change (VolumeDiff) as inputs, add option to uncolor insignificant bars, allow plotting in both directions and more.
M-oscillator
MA MomentumThis simple script takes two ma's sums them and takes the the difference between the current and previous data points. This gives a lovely smoothed momentum indicator. The way it works is if its green its good and if its red its bad. In other words, I take the smooth signal as a filter for the momentum. You can also spot divergences between the indicator and the price to make decisions. Some features include extra smoothing and adjustable ma's. I hope you find this script useful!
Thank you.
True Range Outlier Detector (TROD)True Range Outlier Detector (TROD) shows you weather or not a candle is larger than normal. This works by taking the normalized true range and if the candle exceeds a score of 0.5 or -0.5 it triggers the outlier detection. This is great for building strategies if you want to refrain from buying larger than normal up or down ticks. The only feature is the ability to change the lookback period of the normalization. I hope you find this as useful as I do!
Enjoy!
Smooth Stochastic and RSI ComboA lot of people run both stochastic and rsi on one chart so I figured I would make something that combines the two. This script takes both the rsi and the stochastic, smooths them both and then plots them both on top of each other. I have filled it to make an error range and I colored it with the direction of its mean. I hope this frees up some room on your screen! Enjoy!
ps this is not stochastic rsi, its both stochastic and rsi.
Adaptive Fisherized KSTIntroduction
Heyo guys, here is a new adaptive fisherized indicator of me.
I applied Inverse Fisher Transform, Ehlers dominant cycle analysis,
smoothing and divergence analysis on the Know Sure Thing (KST) indicator.
Moreover, the indicator doesn't repaint.
Usage
I didn't backtest the indicator, but I recommend the 5–15 min timeframe.
It can be also used on other timeframs, but I have no experience with that.
The indicator has no special filter system, so you need to find an own combo in order to build a trading system.
A trend filter like KAMA or my Adaptive Fisherized Trend Intensity Index could fit well.
If you find a good combo, let me know it in the comments pls.
Signals
Zero Line
KST crossover 0 => Enter Long
KST crossunder 0 => Enter Short
Cross
KST crossover KST MA => Enter Long
KST crossunder KST MA => Enter Short
Cross Filtered
KST crossover KST MA and KST above 0 => Enter Long
KST crossunder KST MA and KST under 0 => Enter Short
KST crossunder 0 => Exit Long
KST crossover 0 => Exit Short
More to read: KST Explanation
Enjoy and let me know your opinion!
--
Credits to
- @tista
- @blackcat1402
- @DasanC
- @cheatcountry
Oscillating Length Moving Averages***CREDIT TO TradingView's TA Library*** (), Attempted to use "import TradingView/ta/4" to import the library, but for whatever reason
some of the functions failed to work, while others had no issue, so I opted to just copy paste what I wanted to use.
This moving average uses an oscillator to influence the length used during calculation. Extremely customizable/tunable with ability to change Max and Min length values, length multiplier, length multiple,4 different settings ,( Decline , <>Peak, >Decline , <>Peak, ><Trough
step6:Select Final Filtering method
step7:plot
Divergence and Pivot - Detector For Any IndicatorI present to you an indicator capable of determining the divergence and convergence points for any indicator you choose. It will also determine Pivot points.
All you need to do is add the indicator to your favorites and call it. Next, you need a second indicator for which you want to find divergences or pivots. Next you need choise 'Oscillator Source' section in my indicator, after that you need to choose the name of the indicator for which you want to find divergences . - Done!
Thanks to the developers of TradingView for posting the source code of the "Divergence Indicator" indicator.
Screener _-_ FVVO by SavosRUIt is my first attempt to make SCREENER
Screener by 20 coins to detect Filter of Volatility Oscilator & Volume Threshold
Now - without ALERTS!
But it will be added ASAP...
==================
Это первая моя попытка сделать СКРИНЕР.
Проверяет наличие сигнала всплеска волатильности и объема на 20 монетах.
Монеты - настраиваются.
Алерты - пока отсутствуют, но планируются в будущем.
Band of Filtered RS by Mustafa ÖZVERBand of Filtered RS by Mustafa ÖZVER
This code shows a range (max-min values) price may get if we get strong movements. These values is based on RSI (Relative Strange Index). And also these are calculated using RSI, if we get trades to make rsi is equal to 25 (or rsi down limit) or 75 (rsi up limit) or any value you set, how much will price value get? This code calculate these and shows these to you on graph.
This price are between these band limits because we expect cross reaction to hard movements on price.
For scalping, we can use these values as
long signal when price under down limit,
short signal when price over up limit,
But only these values can not guarantee good results for trading. BE CAREFUL
Signal #1This oscillator calculates the directional strength of the bars using a hydraulic balance mechanism based on a small amount of what I consider a fundamental property of a rod. It does not consider the amplitude of price movement, so can be used as a complement to volume-based oscillators.
This indicator uses simple analysis of past trading volume to determine its support for recent market activity. What I call Volume Buoyancy measures that strength and direction of support.
NOTE
• The command can be used with any symbol timeframe, including seconds.
• Historical values will always produce the same results. During execution, the values will change until the bar closes.
Bộ dao động này tính toán cường độ định hướng của các thanh bằng cách sử dụng cơ chế cân nguyên thủy dựa trên một số lượng nhỏ những gì tôi cho là thuộc tính cơ bản của một thanh. Nó không xem xét biên độ của chuyển động giá, vì vậy có thể được sử dụng như một phần bổ sung cho các bộ dao động dựa trên động lượng.
Chỉ báo này sử dụng phân tích đơn giản về khối lượng giao dịch trong quá khứ để xác định mức độ hỗ trợ của nó đối với hoạt động thị trường gần đây. Cái mà tôi gọi là Độ nổi khối lượng đo lường sức mạnh và hướng của hỗ trợ đó.
LƯU Ý
• Tập lệnh có thể được sử dụng với bất kỳ khung thời gian biểu đồ nào, kể cả giây.
• Các giá trị lịch sử sẽ luôn tạo ra các kết quả giống nhau. Trong thời gian thực, các giá trị sẽ thay đổi cho đến khi thanh đóng lại.
Rate of Change Candle Standardized (ROCCS)ROCCS is a standardized rate of change oscillator with "error bars". Rate of change helps traders gauge momentum in a market by comparing the current price with the price "n" periods ago. What makes this special is you get to see the momentum of the momentum via the candle view. The candle transformation utilizes a moving average to smooth the signal however this is only used for the close price. The high and low prices are not smoothed. The moving average has an adjustable period, and so does the standardization.
I hope you can find great use in this upgraded roc indicator.
TASC 2022.12 Short-Term Continuation And Reversal Signals█ OVERVIEW
TASC's December 2022 edition Traders' Tips includes an article by Barbara Star titled "Short-Term Continuation And Reversal Signals". This is the code that implements the concepts presented in this publication.
█ CONCEPTS
The article takes two classic indicators, the Commodity Channel Index (CCI) and the Directional Movement Indicator (DMI), makes changes to the traditional ways of visualizing their readings, and uses them together to generate potential signals. The author first discusses the benefits of converting the DMI indicator to an oscillator format by subtracting the −DI from the +DI, which is then displayed as a histogram. Next, the author shows how the use of an on-chart visual framework (i.e., choosing the line style and color, coloring price bars, etc.) can help traders interpret the signals produced the considered pair of indicators.
█ CALCULATIONS
The article offers the following signals based on the readings of the DMI and CCI pair, suitable for several types of trades:
• Short-term trend change signals:
A DMI oscillator above zero indicates that prices are in an uptrend. A DMI oscillator below the zero line and falling means that selling pressure is dominating and price is trending down. The sign of the DMI oscillator is indicated by the color of the price bars (which correlates with the color of the DMI histogram). Namely, green, red and grey price bars correspond to the DMI oscillator above, below and equal to zero . Colored price bars and the DMI oscillator make it easy for trend traders to recognize changes in short-term trends.
• Trend continuation signals:
Blue circles appear near the bottom of the oscillator chart border when the DMI is above the zero line and the price is above its simple moving average in an uptrend . Dark red circles appear near the top of the chart in a downtrend when the DMI oscillator is below its zero line and below the 18-period moving average. Trend continuation signals are useful for those looking to add to existing positions, as well as for traders waiting for a pullback after a trend has started.
• Reversal signals:
The CCI signals a reversal to the downside when it breaks out of its +100 and then returns at some point, crossing below the +100 level. This is indicated by a magenta-colored diamond shape near the top the chart. The CCI signals a reversal to the upside when it moves below its −100 level and then at some point comes back to cross above the −100 level. This is indicated by a yellow diamond near the bottom of the chart. Reversal signals offer short-term rallies for countertrend traders as well as for swing traders looking for longer-term moves using the interplay between continuation and reversal signals.
Distance Bands Oscillator_KT █ OVERVIEW
This tool is based on both Bollinger Bands and Keltner Channels, and measures 3 distances between the two, respectively.
Upper Kelt to Upper Bollinger Band
Lower Kelt to Lower Bollinger Band
Kelt Basis to Bollinger Basis Basis
Similar to the Band Width indicator, this can be used as a measure of volatility, and can be used to measure uptrend, downtrend and chop regions on a given chart.
Happy Trading,
ET
Adaptive Fisherized Trend Intensity Index Introduction
Here, I modified the script "Trend Intensity Index" (TII) of @everyget.
TTI was developed by M.H. Pee, who also published other trend analysis indicators like the Trend Trigger/Continuation Factor
It helps to determine how strong the current trend is.
The stronger the trend, the higher the chance the price may continue moving in the current direction.
Features
Adaptive mode (based on Ehlers dominant cycle determination) => automatically determines the length
Inverse Fisher Transform => gives sharper signals
Customizable MA Types => discover the impact of different ma bases
Hann Window and NET smoothing => state-of-the-art smoothing
Trend Visualization => shows you the up/down/side trend
Usage
This indicator here offers a perfect trend filtering system. It is capable of up/down/side trend detection.
There are a lot of trend indicators which don't respect sidetrends, which makes this indicator pretty useful.
A lot of traders use trend-following trading systems.
A trader will usually make his/her entry in the market during a strong trend and ride it, until the TII provides an indication of a reversal.
For mean-revertive trading systems, you could use TII to just trade in side trend.
A lot of mean-revertive signal emitters like Bollinger Bands or RSI work most of the times better in side trend.
Furthermore, every timeframe could be used, but higher timeframes have more impact because trends are stronger there.
Signals
Green zone (Top) => Etablished bullish trend
"Peachy" Zone (Middle) => Sidetrend/flat market
Red Zone (Bottom) => Etablished bearish trend
Enjoy guys!
(Let me know your opinions!)
--
Credits to:
@blackcat1402
@DasanC
@cheatcountry
@everget
FFT Strategy Bi-Directional Stop/Profit/Trailing + VMA + AroonThis strategy uses the Fast Fourier Transform inspired from the source code of @tbiktag for the Fast Fourier Transform & @lazybear for the VMA filter.
If you are not familiar with the Fast Fourier transform it is a variation of the Discrete Fourier Transform. Veritasium on youtube has a great video on it with a follow up recommendation from 3brown1blue. In short it will extract all the frequencies from a set of data. @tbiktag laid the groundwork for creating the indicator which will allow you to isolate only those signals which are the most relevant and remove the noise. I recommend having @tbiktag's FFT Transform indicator side by side with this to understand what my variation is doing by setting similar settings .
Using this idea, you can then optimize a strategy to the frequencies that are best. The main entry signal is when the FFT Signal crosses above or below the 0 line .
Included with this strategy is the ability to optionally bi-directionally set:
Stop Loss
Trailing Stop Loss
Take Profit
Trailing Take Profit
Entries are optionally further filtered by use of the VMA using the algorithm from LazyBear which allows you to adjust a variable moving average with 3 market trend detections. Green represents upwards momentum; Blue sideways trading and Red downwards momentum. The idea being to filter out buy or sell entries unless the market is moving in that direction, and this makes a big difference as you can see for yourself when you turn it off or on. Turning it off will change the color of the FFT signal to orange instead of the green, blue, red colors .
I have added 2 custom stop loss types as well for experimentation:
1. VMA Filter stop loss to exit the trade if the VMA detects a market trend direction change matching the rules you have set. I have set this to off by default, but it is there so you can see what affect it may have on other tickers. It can increase the profit factor but usually at a cost of net profit.
2. The Aroon Filter stop loss with different lengths for the short or long direction. For the Aroon strategy (which is a trend change detector) it is considered bullish if the upper line (green in my code) is above 70 and the lower line (red in my code) is below 30 and the opposite for the bearish case. With this in mind, I have set it to filter by default only the extreme ends (99 and 1) to increase profit factor and net profit but I encourage you to try different settings and see how it affects things. Turning this off yields much higher net profit but at the cost of the profit factor and drawdown . To disable this just uncheck the 'Use Aroon Filter Long' (or short) and it will also hide the aroon graphics and crosses on the plot.
I will be adding more features in an attempt to lower the drawdown on this strategy but I hope you enjoy what I have so far!
Adaptive Fisherized CMFIntroduction
Heyo, here I made a normalized Chaikin Money Flow (CMF) indicator with Inverse Fisher Transform (IFT) and some smoothing techniques.
I had to normalize the indicator in order to fit it to the IFT range (-1 -> 1).
Moreover, the good old adaptive mode is also included in this indicator. It uses Ehlers superb dominant cycle techniques.
It also has divergence detection, several options for individualisation and doesn't repaint.
Usage
www.investopedia.com
Signals
CMF above 0 => bullish market
CMF below 0 => bearish market
(You can also use the inner bands instead of the zero line, to make these signals more precise)
Bullish regular/hidden divergence => long
Bearish regular/hidden divergence => short
Enjoy guys!
PS: I really would like to hear some feedback of you.
Divergence Finder [Multigrain]█ OVERVIEW
This indicator is a divergence finder, designed to be overlayed on top of any oscillator. By utilizing an Exponential Moving Average, rather than built-in pivot functions, this allows for insignificant pivots of the oscillator to be filtered out. Additionally, by sampling more than just the previous oscillator pivot, this allows for divergences to be found that would otherwise be overlooked through other methods.
█ CONCEPTS
Interim Price Threshold
A new metric used when determining valid divergences is the Interim Price Threshold (IPT). The IPT is the maximum percent delta the price is allowed to "poke-through" the divergent line at any given time.
Interim Oscillator Threshold
Similar to the Interim Price Threshold, the Interim Oscillator Threshold (IOT) is the maximum percent delta the oscillator is allowed to "poke-through" the divergent line at any given time.
Dynamic Midline
Commonly a static midline is utilized when determining whether a divergence may be bullish or bearish. By utilizing the built-in percentile nearest rank function, the midline is automatically and dynamically determined based on the previous 250 bars. As a result certain divergences which may otherwise be overlooked will be discovered.
█ SETTINGS
Oscillator Source: The oscillator in which you want find divergences from. Default to a MACD oscillator when unchanged.
Price Source: The price source in which you want to find divergences from.
Moving Average Length: The length of the exponential moving average used when determining the pivot points of the selected oscillator.
█ USAGES
Divergence in technical analysis can indicate a significant bullish or bearish price move. A bullish divergence occurs when an asset's price makes a new low while an indicator begins to rise. A bearish divergence occurs when the price makes a new high but the indicator under consideration makes a lower high.
Stochastic Smooth Relative Strength Index (SSRSI)This is Stochastic RSI but it uses smoothed RSI instead. You use it the same as any other Stochastic RSI :)
The features in this scripts are: RSI Length, Extra Smoothing, Extra Smooth RSI Filter, Stochastic Length, and K and D.
I hope you find this release useful!
The Stochastic RSI indicator ( Stoch RSI ) is essentially an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means that it is a measure of RSI relative to its own high/low range over a user defined period of time. The Stochastic RSI is an oscillator that calculates a value between 0 and 1 which is then plotted as a line. This indicator is primarily used for identifying overbought and oversold conditions.
Stochastic Moving Average Delta Oscillator (SMADO)This is an interesting take on the stochastic oscillator. What I have done here is I've taken the cumulative sum of the deltas of all the simple moving averages from 1 to 200 and summed them. Next I transform this into a stochastic oscillator with ta.stoch. The point of this is to show you trends, tops and bottoms. I hope you find this indicator as interesting as I did. Please enjoy!
The Feature include: Stochastic Window, Number of MA's to check, General Smoothing, and Direction Indication.
Divergence Backtester - V2Further attempts to study divergence impact on price in shorter terms.
Previous study can be found here:
In this script, we are trying to gather the stats based on last two pivot state together. For example, Individual table of Pivot High Projection is as explained below:
But, by looking at the bigger picture, we can further estimate following things regarding the current unconfirmed pivot and the new pivot which is yet to be formed.
Sine Wave TheoryThere are some ideas out there that the market is like a collection of quantum events and that it could all be broken down into sine waves. I created this script to put that to the test.
The idea is simple, I tested 3 different factors that could be put into sine wave form.
1.) Bar Change
2.) Volume Average Change
3.) Coin Flip
For the bar change, I simply allow the sine wave to move upwards or downwards if the bars have changed color in their sequence. For example, if there were 3 red bars and 1 green bar, it would not move the sine wave up or down until the green bar appeared.
For the average volume change, it was the same idea, except that the sine wave could only move up or down if the volume had moved up or below the average value of the length given for calculating the average volume.
Finally, the coin flip simply simulates flipping a coin, and allows the sine wave to move one direction or the other once it has a side that is different from the previous chosen side. For example, heads, heads, heads, tails (once it flipped to tails, this would allow it to move a direction).
The sine wave trading theory that I watched claimed that if you know the correct sine wave # (which is how large the peak is, and/or the sine wave count which is how many peaks and valleys occur) that you can successfully predict future trades. Their claims that the reason it does not look like a perfect sine wave for these events is because there is different amounts of trading going on, thus the timing will be slightly off.
I am posting this to disagree with their ideas. For example, if you select to turn on trading for coin flip and turn off bar change, you will see the coin flip did better on the default settings!
It just so happens that any setting will eventually be good, making all the sine wave variations just completely random if you win or not.
I posted this to demonstrate how silly trading sine waves is. The real trick is using cosine and tangent waves... lol j/k
I hope this helps someone avoid this scam concept.
Public Sentiment Oscillator This is a combination of 9 common use indicators turned into on single oscillator. These indicators are: 200 day moving average cross, 9/12 ema cross, 13/48 sma cross, rsi, stochastic, mfi, cci, macd, and open close trend. I have weighted the scores to be pretty even so that its balances each indicator in the sum. Because of the odd number of indicators, I have decided to normalized the score to 10. I think this has the effect of making it easier to read.
The score definition: oc_trend > 0 ? 1 : 0, fast_e > slow_e ? 1 : 0, fast_s > slow_s ? 1 : 0, rsi < 30 ? 0 : rsi > 30 and rsi < 70 ? 0.5 : rsi > 70 ? 1 : 0, macd1 > macd2 ? 0.5 : macd1 < macd2 ? 0 : 0, (hist >=0 ? (hist < hist ? 0.5 : 0.25) : (hist < hist ? 0.25 : 0)), stoch < 20 ? 0 : stoch > 20 and stoch < 80 ? 0.5 : stoch > 80 ? 1 : 0, source > ma200 ? 1 : ex <= ma200 ? 0 : 0, mfi < 20 ? 0 : mfi > 20 and mfi < 80 ? 0.5 : mfi > 80 ? 1 : 0, cci < -100 ? 0 : cci > -100 and cci < 100 ? 0.5 : cci > 100 ? 1 : 0
I hope you find this useful in your trades. Enjoy!
QQE Student's T-Distribution Bollinger Bands ScreenerThis script scans 20 custom symbols and displays the QQE Students T-Distribution Bollinger Bandwidth as a percentage, the quarter segment percentage, a score that tells you what segment of the band the price is in, and what direction the market is going in. This is useful because it can tell you how volatile a market is and how much reward is in the market. It also tells you what direction the market is going in so you can pick a symbol that has the best looking reward. I really hope that this script complements the group of indicators I have made so far. Here is a list of the other two indicators related to this script.
Please enjoy!
