TSI - ADX HISTOGRAM MTFThis is my hybrid indicator to recognize overbought-oversold ranges, the strong of the movement and the direction.
Thanks to Bjorgum and Rave 444 for develop this two indicators.
M-oscillator
Zone Strength [wbburgin]The Zone Strength indicator is a multifaceted indicator combining volatility-based, momentum-based, and support-based metrics to indicate where a trend reversal is likely.
I recommend using it with the RSI at normal settings to confirm entrances and exits.
The indicator first uses a candle’s wick in relation to its body, depending on whether it closes green or red, to determine ranges of volatility.
The maxima of these volatility statistics are registered across a specific period (the “amplitude”) to determine regions of current support.
The “wavelength” of this statistic is taken to smooth out the Zone Strength’s final statistic.
Finally, the ratio of the difference between the support and the resistance levels is taken in relation to the candle to determine how close the candle is to the “Buy Zone” (<-0.5) or the “Sell Zone” (>0.5).
wbburgin
even_better_sinewave_mod
Description:
Even better sinewave was an indicator developed by John F. Ehlers (see Cycle Analytics for Trader, pg. 159), in which improvement to cycle measurements completely relies on strong normalization of the waveform. The indicator aims to create an artificially predictive indicator by transferring the cyclic data swings into a sine wave. In this indicator, the modified is on the weighted moving average as a smoothing function, instead of using the super smoother, aim to be more adaptive, and the default length is set to 55 bars.
Sinewave
smoothing = (7*hp + 6*hp_1 + 5*hp_2+ 4*hp_3 + 3*hp_4 + 2*hp5 + hp_6) /28
normalize = wave/sqrt(power)
Notes:
sinewave indicator crossing over -0.9 is considered to beginning of the cycle while crossing under 0.9 is considered as an end of the cycle
line color turns to green considered as a confirmation of an uptrend, while turns red as a confirmation of a downtrend
confidence of using indicator will be much in confirmation paired with another indicator such dynamic trendline e.g. moving average
as cited within Ehlers book Cycle Analytic for Traders, the indicator will be useful if the satisfied market cycle mode and the period of the dominant cycle must be estimated with reasonable accuracy
Other Example
Weighted Harrell-Davis Quantile Estimator with AD Oscillatorxel_arjona
Licensing:
This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International Copyright (c) 2021 ( CC BY-NC-SA 4.0)
Copyright's & Mentions:
The Gamma Functions & Beta Probability Density Functions C# implementations by the Math.NET Numerics, part of the Math.NET Project.
The Regularized Incomplete (Left) Beta Function C# implementation by the SAMTools, htslib project.
The Weighted Harrell-Davis Quantile estimator; C# & R implementations by Andrey Akinshin.
External PineScript code, methods, support & consultancy by @PineCoders staff with special mention for:
+ "ma sorter ('sort by array' example)- JD" by @Duyck.
+ Porting, mods, compilation and debugging for this script by @XeL_Arjona for the TradingView's @PineCoders community.
I made it an oscillator. Features include normalization, line display, and smoothing. :DDD Enjoy!
(Ive been wanting to do this for a while but I wanted to make the library first but you know what this was fun so there you go its here now)
SKS_SQZPRO//@originalauthor Makit0
//
//script based in:
// original John Carter's ideas (SQUEEZE & SQUEEZE PRO) www.simplertrading.com
// LazyBear's script (Squeeze Momentum Indicator)
//
// USE IT IN CONJUNCTION WITH THE SQUEEZE PRO ARROWS INDICATOR
//
// This system is based in the volatility reversion to the mean: volatility contraction leads to volatility expansion and the other way on
// The dot signal is a warning of volatility compression, more often than not this leads to a expansion of volatility and a move in the action price usually bigger than the expected move
// Be aware of the trend direction, use the momentum histogram to see the slope direction
//
// There are 3 levels of compression:
// Level 1: ORANGE, the lesser compresion level
// Level 2: RED, the normal level marked by the original squeeze indicator
// Level 3: YELLOW, the max compression level
// The more the compression the bigger the after move
//
// The GREEN dots signal the volatility expansion out of the squeeze ranges
MODIFIED HEAVILY!! MOM_LINE, MOMBars
MultiTimeFrame Stochastic
Multi Time Frame Stochastic
Fast, medium, slow and Too slow stochastic of current time frame and higher time frame for creating view for buying or selling
How to use
1. For Divergence - price making higher high but stochastic making lower high or vice versa
2. choosing strategy - whether buy the dips or sell on rise
3. deciding whether downtrend or uptrend is over or not - higher time frame stochastic comes from over brought to oversold
High Probablity Buy trade
Higher time frame stoch oversold and divergence seen in chart and stoch and lower low forming stopped in chart and stoch
High Probablity sell trade
Higher time frame stoch overbought and divergence seen in chart and stoch and higher high stopped in chart and stoch
caution : it only go to 0 to 100 so some time it is overbought for long time the fall or vice versa, use it with other confirmation like price action or candlestick pattern
if you like the work
paytm donation id ----- 7001473382@paytm
Ichimoku Kinkō hyō 目均衡表█ OVERVIEW
Ichimoku is known to be an Indicator that completes itself, for its power but also for its complexity. This is why I decided to improve the work of
Goichi Hosoda in order to offer the maximum number of options for the most seasoned users but also beginners with options to simplify the
reading of Ichimoku (such as a panel directly giving you the status of each Ichimoku options or Supports/Resistances drawn automatically
according to the conditions chosen in the settings.
█ OPTIONS
Here is the complete list of options to implement :
- "Source" and "Alternative Source" (with lots of choices)
- Heikin Ashi volume.
- Weighted Moving Average Smoothing
- Minimum, Maximum and Adaptive Percentage Length adjustable for Tenkan-Sen, Kijun-Sen, Chikou Span and Senkou-Span)
- The Chikou has a Filter with modifiable Length (in Lookback Percentage)
- Advanced Filter Settings: Volume, Tenkan-Sen/Kijun-Sen Cross, Volatility, Tenkan-Sen Equal Kijun-Sen, Chikou Greater Than Price,
Chikou Momentum, Price Greater Than Kumo, Price Greater Than Tenkan-Sen, Chikou Trend Filter .
- Oscillator volume adjustable via drop-down menu with 5 types of oscillators available: "TFS Volume", "On Balance Volume",
"Klinger Volume", "Cumulative Volume", "Volume Zone".
- Relative Volume Strength Index with Length, Peak and EMA's adjustable. 3 Oscillators available: “On Balance Volume”,
“Cumulative Volume”, “Price Volume Trend”.
- Volatility adjustable with Fast and Slow Length.
- Totally customizable Support and Resistance.
- Bar Trend Color based on chosen settings.
- Fully customizable help panel.
- Alerts available for: Labels Detection, Support/Resistance Line Cross, Panel Trend Status Direction.
█ NOTES
Remember to only make a decision once you are sure of your analysis. Good trading sessions to everyone and don't forget,
risk management remains the most important!
Indicator for proxy BTC and ALT dominanceThis indicator calculates a proxy for BTC dominance and ALT domance from total crypto cap by removing USDT and USDC. The indicator has 4 plots:
Proxy BTC Dominance = BTC dominance / (total crypto cap - stablecoin cap)
Proxy ALT Dominance = (Total crypto cap - stablecoins - btc cap) / (total crypto cap - stablecoin cap)
A reference plot of BTC Dominance
A reference plot of Stablecoin dominance
TURK RSI+ICHIMOKUTypical RSI indicators were plotted with candles and expressed wick to resemble a candle chart,
and linear regression was added to predict changes in force intensity,
which allowed us to confirm support and resistance within linear regression .
In addition, divergence signal was marked as an additional basis for the price fluctuation point due to support and resistance .
In other words,
if the diversity signal appears together when the rsi candle is supported and resisted within linear regression ,
this is the basis for predicting that it is a point of change in the existing trend.
Finally, the period value and standard deviation of linear regression can be arbitrarily modified and used.
I hope it will help you with your trading.
--------------------------------------------------------------------------------------------------------------------------------------------------------------
(+ichimoku cloud)
Clouds made of the preceding span 1 and the preceding span 2 of the balance table can predict the trend by displaying the current price balance ahead of the future.
In addition to the role of clouds in the above-described balance sheet , this indicator also shows the cloud band support and resistance of the current RSI value.
TG:- @turk_shariq
[QG] Dynamic Zones Value ChartThe classic value charts indicator has fixed overbought and oversold levels at 8 and 10 levels and the idea of adding dynamic zones around them instead of fixed levels is appealing.
During the strong trending movements, the overbought and oversold levels also dynamically move up or down.
I have used the dynamic zones code by @allanster.
The idea of using dynamic zones on value charts comes from a similar indicator available in mql4.
MOD RSI [KPM]Using this indicator you can easily view Divergence, and Market Tend in Mutitimeframe
NOTE: This is stranded RSI I only added colours for easy cath the market trend.
I'm not regarding anything with this indicator. All risk is yours
Thank you
Reverse Stoch [BApig Gift] - on PanelMssive credit to Motgench, Balipour and Wugamlo for this script. This script is all of their good work.
It is basically just the non-on chart version which I've slightly tweaked off their script. This can be useful to reduce the clutter on the chart itself. Releasing it in the hope that it can be useful for the community
Enjoy!
MM SIGMA STC+ADXThe Schaff Trend Cycle (STC) is a charting indicator that is commonly used to identify market trends and provide buy and sell signals to traders. Developed in 1999 by noted currency trader Doug Schaff, STC is a type of oscillator and is based on the assumption that, regardless of time frame, currency trends accelerate and decelerate in cyclical patterns.12
How STC Works
Many traders are familiar with the moving average convergence/divergence (MACD) charting tool, which is an indicator that is used to forecast price action and is notorious for lagging due to its slow responsive signal line . By contrast, STC’s signal line enables it to detect trends sooner. In fact, it typically identifies up and downtrends long before MACD indicator.
While STC is computed using the same exponential moving averages as MACD, it adds a novel cycle component to improve accuracy and reliability. While MACD is simply computed using a series of moving average, the cycle aspect of STC is based on time (e.g., number of days).
It should also be noted that, although STC was developed primarily for fast currency markets, it may be effectively employed across all markets, just like MACD. It can be applied to intraday charts, such as five minutes or one-hour charts, as well as daily, weekly, or monthly time frames.
Introduction to ADX
ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time. The default setting is 14 bars, although other time periods can be used.1 ADX can be used on any trading vehicle such as stocks, mutual funds, exchange-traded funds and futures.
ADX is plotted as a single line with values ranging from a low of zero to a high of 100. ADX is non-directional; it registers trend strength whether price is trending up or down.2 The indicator is usually plotted in the same window as the two directional movement indicator (DMI) lines, from which ADX is derived (shown below).Quantifying Trend Strength
ADX values help traders identify the strongest and most profitable trends to trade. The values are also important for distinguishing between trending and non-trending conditions. Many traders will use ADX readings above 25 to suggest that the trend is strong enough for trend-trading strategies. Conversely, when ADX is below 25, many will avoid trend-trading strategies.
ADX Value Trend Strength
0-25 Absent or Weak Trend
25-50 Strong Trend
50-75 Very Strong Trend
75-100 Extremely Strong Trend
Low ADX is usually a sign of accumulation or distribution. When ADX is below 25 for more than 30 bars, price enters range conditions, and price patterns are often easier to identify. Price then moves up and down between resistance and support to find selling and buying interest, respectively. From low ADX conditions, price will eventually break out into a trend. Below, the price moves from a low ADX price channel to an uptrend with strong ADX.
Added Buy/Sell alerts
ADX filters based on the threshold you put in the settings.
great for trend and trade confirmation
Bollinger Bands Breakout Oscillator [LuxAlgo]The Bollinger Bands Breakout Oscillator is an oscillator returning two series quantifying the significance of breakouts between the price and the extremities of the Bollinger Bands indicator.
Settings
Length: Period of the Bollinger Bands indicator
Mult: Controls the width of the Bollinger Bands
Src: Input source of the indicator
Usage
Each series is calculated by summing the distance between price and a respective Bollinger Bands extremity in the case price is outside this extremity and divided by the sum of the absolute distance between price and a respective extremity. This sum is done over the most recent Length bars.
Bullish breakouts are represented by the green areas of the indicator, while bearish breakouts are represented by the red areas of the indicator.
The oscillator can determine the presence of an uptrend when the bullish area is superior to the bearish area, while a downtrend is indicated by a bearish area being superior to the bullish one. The significance of the breakout is determined by the amplitude of each area, with higher amplitudes indicating more significant breakouts or strong trends.
Using higher Mult values would naturally return wider bands, which would induce less frequent breakouts, this would be highlighted by the oscillator.
In the chart above we can see the oscillator using a multiplicative factor of 2.
Current Trend [KPM] - Buy / SellYou can filter the trend with this indicator. Green Lines indicate a short-term up trend and Red lines indicate a short-term downtrend. and black lines indicate short-term consultation.
I'm not regarding anything with this indicator. All risk is yours
Thank you
No-lose trading targets (Based on MFI) By Mustafa ÖZVERThis code shows expected reaction target prices after sudden moving based on MFI . Red area means the price is on overbought area, green area means the price is on oversold area. If you see red area under price, you can make short option to next to the horizontal beginning price of red area. If you see green area over price, you can make long option to next to the horizontal beginning price of green area.
When this code works
- The green area starts where mfi value is on oversold
- The red area starts where mfi value is on overbought
Of course, this code may be failed, do not forget the target may never come. But hopefully price will cross over the target.
And you (as developers) can develop this code by using anything instead of mfi to get up-down target prices.
But only this values can not guarantee good results for trading. BE CAREFUL
Realtime Divergence for Any IndicatorThis indicator is an addon to any oscillating indicator. It shows divergences. It shows realtime divergences too. Realtime divergences are potential divergences because the actual pivot is not fully formed.
It shows:
Regular Bullish Divergences
Hidden Bullish Divergences
Regular Bearish Divergences
Hidden Bearish Divergences
Reatime divergence lines are dashed lines while non-reatime are solid.
This script also offers a fair bit of control over what you can accept as a legitimate divergence.
Also note that functions tend to not work properly in conditional and loop structures so I couldn't use a lot of functions and consequently my script is really big. Sorry.
[blackcat] L2 Ehlers Pairs RotationLevel 2
Background
John Ehlers’ articles in the July issues on 2022,“Pairs Rotation With Ehlers Loops, Part 2”
Function
In part 1 of his article in the June 2022 issue (“Ehlers Loops”), John Ehlers uses a relationship of price and volume to determine if any predictive value can be obtained. His technique, called Ehlers Loops, aid in visualizing the performance of one datastream against another. In part 2 appearing in this issue (“Pairs Rotation With Ehlers Loops”), the author demonstrates Ehlers Loops in action with a pairs trading example. This pairs rotation strategy is aimed at minimizing drawdown while simultaneously maximizing return on capital.
Remarks
Feedbacks are appreciated.
Return & Drawdown
ReDraw script calculates the historical returns and drawdown for the given periods.
By default, the return of the linear regression trends is displayed (can be turned off in settings). In this mode, two linear regression trends are being computed for both long and short periods, and the percent value indicates the "return of the trend" for the corresponding period. Observing the dynamic of the linear regression trends can give a great hint if the trend is slowing down.
When the smoothing method is set to "none" or WMA3/5, the real asset return is shown for both periods, using the formula (LastPrice-FirstPrice)/FirstPrice
The script calculates the maximum drawdown for the long period using the formula (max(Price) - LastPrice) / max(Price).
The white line under the zero is the average maximum drawdown over the long period.
When the mode is set to Compare, ReDraw will display the difference in metrics between the current and selected symbol (SPY by default).
Asset CorrelationThis indicator shows correlation strength between the source asset plotted in the main chart and a user-input asset in the indicator panel. For example, if the main chart panel is displaying BTCUSD and the correlation indicator is NDX, then the correlation strength is plotted as the relationship between the two. A strong positive correlation target is set at 0.80 but can be changed. A strong negative correlation target is set at -0.80 and can also be changed.
The indicator also has an option for a plot of the ta.correlation() function for a reference line.
Squeeze Momentum 3# Squeeze Momentum 3
First of All, I would like to give my gratitude to for the initital script's idea.
This is my own version of SQZMOM. I had revised all equations and parameters according to Investopedia.
Still, no matter how much we stick to the indicator, the indicator can not see the future.
Trading results vary from time to time. In my opinion, SQZMOM is great for speculating under 4H timeframe.
Remarks;
- implement horizontal shift
- revised all equations. Unfortunately, there is no magic params.
- Be careful with your money management
- Good Luck
TASC 2022.07 Pairs Rotation With Ehlers Loops█ OVERVIEW
TASC's July 2022 edition of Traders' Tips includes an article by John Ehlers titled "Pairs Rotation With Ehlers Loops". This is the code that implements the Ehlers Loops applied to pairs rotation trading.
█ CONCEPTS
John Ehlers developed Ehlers loops as a tool to visualize the performance of one data stream versus another. Initially, he used this tool to chart price versus volume. However, Ehlers loops proved to be suitable for determining the timing of the pairs rotation strategy . This strategy works by having a long position in only one of two securities, depending on which one is considered stronger at a given time.
When the prices of two securities (filtered and scaled with a standard deviation for consistent presentation) are plotted against each other, the curvature and direction of rotation on the chart can help guide decisions on long positions. For example, when plotting a stock versus a referenced symbol, a vertical upward movement while rotating clockwise is a sign of going long the stock. Similarly, a horizontal movement to the right while rotating counterclockwise is the sign to go long the reference. A higher probability of a reversal is expected when the price moves more than one or two standard deviations.
█ CALCULATIONS
The script uses the following steps to calculate the Ehlers Loops:
The price data of both securities in the pair are individually filtered using identical high-pass and SuperSmoother filters. This results in two band-limited data streams, having a nominally zero mean. The input parameters Low-Pass Period and High-Pass Period control the filter bandwidth and thus can modify the shape of the Ehlers Loops.
Subsequently, the filtered data streams are scaled in terms of standard deviation by dividing each of them by their root-mean-square (RMS) values. These data streams are plotted as zero-mean oscillators.
Finally, the scaled data streams are displayed one against another for the selected time interval (defined by the input parameter Loop Segments ). In the resulting scatterplot, the thicker line corresponds to the later data points. The fluctuations of the filtered price data of the chart symbol are plotted along the y -axis, and the price changes of the referenced symbol are shown along the x -axis.
Relative Aggregate Strength OscillatorCredits to
@wolneyyy - "Mean Deviation Detector - Throw Out All Other Indicators"
And
@algomojo - "Responsive Coppock Curve"
And the default Relative Strength Index
The candles are the average of the MFI ,CCI ,MOM and RSI values presented as candles, they seemed similar enough in style to me so I created candles out of each and the took the sum of all the candle's OHLC values and divided by 4 to get an average.
In the Background we have @wolneyyy's - "Mean Deviation Detector - Throw Out All Other Indicators" in blue
along with @algomojo's - "Responsive Coppock Curve" in red and green.