Trend-Quality IndicatorBINANCE:BTCUSDT
Open source version of the Trend-Quality Indicator as described by David Sepiashvili in [ Stocks & Commodities V. 22:4 (14-20) ]
Q-Indicator and B-Indicator are available both separately or together
█ OVERVIEW
The Trend-Quality indicator is a trend detection and estimation tool that is based on a two-step filtering technique. It measures cumulative price changes over term-oriented semicycles and relates them to “noise”. The approach reveals congestion and trending periods of the price movement and focuses on the most important trends, evaluating their strength in the process. The indicator is presented in a centered oscillator (Q-Indicator) and banded oscillator format (B-Indicator).
Semicycles are determined by using a short term and a longer term EMAs. The starting points for the cycles are determined by the moving averages crossover.
Cumulative price change (CPC) indicator measures the amount that the price has changed from a fixed starting point within a given semicycle. The CPC indicator is calculated as a cumulative sum of differences between the current and previous prices over the period from the fixed starting point.
The trend within the given semicycle can be found by calculating the moving average of the cumulative price change.
The noise can be defined as the average deviation of the cumulative price change from the trend. To determine linear noise, we calculate the absolute value of the difference between CPC and trend, and then smooth it over the n-point period. The root mean square noise, similar to the conventional standard deviation, can be derived by summing the squares of the difference between CPC and trend over each of the preceding n-point periods, dividing the sum by n, and calculating the square root of the result.
█ Q-INDICATOR
The Q-Indicator is a centered oscillator that fluctuates around a zero line with no upper or lower limits, is calculated by dividing trend by noise.
The Q-Indicator is intended to measure trend activity. The further the Q is from 0, the less the risk of trading with a trend, and the more reliable the trading opportunity. Values exceeding +2 or -2 can be qualified as promising
Values:
in the -1 to +1 range (GRAY) indicate that the trend is buried beneath noise. It is preferable to stay out of this zone
in the +1 to +2 or -1 to -2 range (YELLOW) indicate weak trending
in the +2 to +5 range (BLUE) or -2 to -5 range (ORANGE) indicate moderate trending
above +5 range (GREEN) or below -5 (RED) indicate strong trending
Readings exceeding strong trending levels can indicate overbought or oversold conditions and signal that price action should be monitored closely.
█ B-INDICATOR
The B-Indicator is a banded oscillator that fluctuates between 0 and 100, is calculated by dividing the absolute value of trend by noise added to absolute value of trend, and scaling the result appropriately.
The B-indicator doesn’t show the direction of price movement, but only the existence of the trend and its strength. It requires additional tools for reversal manifestations.
The indicator’s interpretation is simple. The central line suggests that the trend and noise are in equilibrium (trend is equal to noise).
Values:
below 50 (GRAY) indicate ranging market
in the 50 to 65 range (YELLOW) indicate weak trending
in the 65 to 80 range (BLUE) indicate moderate trending
above 80 (GREEN) indicate strong trending
The 65 level can be thought of as the demarcation line of trending and ranging markets and can help determine which type of technical analysis indicator (lagging or leading) is better suited to current market conditions. Readings exceeding strong trending levels can indicate overbought or oversold conditions.
Trend
Ehlers Leading Indicator [CC] RibbonQuoted from Cheatcountry : “The Leading Indicator was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pg 235) and as the name implies, this is a leading indicator that provides super early signals. Feel free to change the alpha values to adjust to your needs. Buy when the indicator line is green and sell when it is red.”
His original script:
This is a mod of Cheatcountrys script. I put it into a function and plotted several and implemented a tally of all.
Credit to him and John Ehler. Published with permission.
ADX DI EMA Clouds
EMA clouds colored by DI and ADX indicator:
9 EMA and 21 EMA Cloud turns green in a bull trend and red when in a bull trend...if the trend is half bulll and half bear..the clouds turn white.
I also coded if the momentum in increasing (yellow) or if the momentum is decreasing (blue) or if the momentum is flat (white).
The Clouds are colored based off the Di (+/-)
9 EMA is colored based of ADX momentum strength
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 .
DI (+/-):
The directional movement index (DMI) is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The indicator does this by comparing prior highs and lows and drawing two lines: a positive directional movement line ( +DI ) and a negative directional movement line ( -DI ). An optional third line, called the average directional index ( ADX ), can also be used to gauge the strength of the uptrend or downtrend.
This indicator has the length changed from 14 to 9 so you can have more updated price calculation
I also add the 4 levels I use for day trading; the 10, 20, 30, 40-50 are the levels I like to see the Di to break over.
A lot of traders use different levels, but these I have and found most useful. You can set alerts when any Di crosses over the 40 for true trend breakout!
Linear Regression Channel - Auto Volume BasedBased on oryginal TV indicator BUT with a little twist. ;)
I really like the regression channel - but the problem is that the length needs to be always manually adjusted.
In this script I try to solve this issue.
This is modified version on TV indicator - Linear Regression Channel.
The main difference is that now you don't get static length - it is automatically adjuested to the recent price action (determined by highest volume in last 300 bars).
MTF EMA TrendThe indicator plots directional arrows on top of the chart to visualize the market's price trend. The plots are based on candle closing below all three multitimeframe EMAs, downtrend, when the EMAs are also in order (1 below 2 and 2 below 3). Opposite situation is uptrend.
It also marks a breakdown when the price closes under the third (supposedly always the slowest) EMA outside of aforementioned downtrend situation. Opposite is true for breakup to be marked.
Please always make sure, that the three EMAs are in order of EMA 1 being the fastest and 3rd the slowest. Default settings are used on the 5 minute timeframe.
Indicator can be used to quickly check the overall trend of the market as told by three MTF EMAs without needing to clutter the chart with the actual EMA plots. This is useful, for example, if you mainly base your scalping trades on other types of indicators, but you want a quick peek of the market direction or indecision.
GMC Trend FilterAvoid Fake Signals, and identify the trend.
How it works ?
- it calculates main trend direction by using the length that is user-defined. so you can change it as you wish
- then it calculates trend direction for each 9 lower lengths. if you set the length = 20 then the lengths are 19, 18,...11
- and it checks if the trend directions that came from lower lengths is same or not with main trend direction.
- it changes the trend color of the ribbon.
Candilator RSI [AstrideUnicorn]OVERVIEW
The name Candilator comes from blending the words "candlestick" and "oscillator". And as the name suggests, this indicator is a good old RSI plotted as a candlestick chart. To produce a candlestick chart, Candilator RSI calculates four RSI's based on the open, high, low, and close time series. It also has a candlestick patterns detection feature.
HOW TO USE
You can use Candilator RSI as a normal RSI to analyze momentum, detect overbought and oversold markets, and find the oscillator's divergences with the price. You can also get creative and apply all sorts of technical analysis to the RSI candlestick chart, including candlestick patterns analysis.
Candilator RSI can automatically scan the price for some candlestick patterns in the overbought and oversold zones. This feature can help detect price reversals early.
SETTINGS
The indicator settings are divided into two groups: Main Settings and Pattern Detection. In the Main Settings, you can find standard RSI settings. In the Pattern Detection part, you can turn on and off the automatic search for a particular candlestick pattern.
Naked Bar Upward ReversalAMEX:SPY
The Naked Bar Upward Reversal is a three bar candlestick pattern with an inside candle as a entry point. This pattern is bullish since it has a candle closing red from the previous candle; the most bearish pattern possible. The following inside candle is a reversal of its previous candle with an open above the previous candle's close. Look to buy the next open above the inside candle's close.
This is a bullish reversal pattern and should be used in this context. Successful entries are found in corrections along an upward trend, or buying into a dip. Performance drops when the pattern appears at tops. To improve profitability, use a cluster of evidence to enhance the performance of this pattern. The intended time frame is within the daily and weekly.
Levels Of Greed
The Levels Of Greed indicator is based on the same idea as the Levels Of Fear one and was suggested by several traders in the comment section. It helps analyze price advances to find the best levels for closing a long position in an asset after a quick surge or longer up-trend. In finance, volatility is a term that describes the degree of variation of an asset price over time. It is usually denoted by the letter σ (sigma) and estimated as the standard deviation of the asset price or price returns. The Levels Of Greed indicator helps measure the current price advance in the standard deviation units. It plots seven levels at distances of 1, 2, 3, 4, 5, 6, and 7 standard deviations (sigmas) above the base price (the recent lowest price or lower bound of the established range). In what follows, we will refer to these levels as levels of greed.
HOW TO USE
When the price in its surge reaches a certain level of greed, it means that it has surged from its recent lowest value by a corresponding number of standard deviations. The indicator helps traders see the maximum levels to which the price may rise and estimate the potential height of the current surge. Five-seven sigma surges are relatively rare events and correspond to significant market exuberance. Careful traders and shorter-term ones would not want to participate in the bandwagon effect and herd behavior that drive market bubbles. They prefer to take their profits when the market is not exceedingly overbought.
SETTINGS
Window : the averaging window or period of the indicator. The algorithm uses this parameter to calculate the base level and standard deviations. Higher values are better for measuring deeper and longer surges.
Levels Stability : the parameter used in the up-move detection. The higher the value is, the more stable and long the greed levels are, but at the same time, the lag increases. The lower it is, the faster the indicator responds to the price changes, but the greed levels are recalculated more frequently and are less stable. This parameter is mostly for fine-tuning. It does not change the overall picture much.
Mode : the parameter that defines the style for the labels. In the Cool Guys Mode, the indicator displays the labels as emojis. In the Serious Guys Mode, labels show the distance from the base level measured in standard deviation units or sigmas.
Super Multi Trend [Salty]This script uses the 5, 8, 13, 21, 34 low, 34 close, 34 high, and 55 EMAs in comparison to each other to gauge momentum and trend strength for the current ticker. Additionally, it provides the ability to compare to 3 additional tickers at the same time (Uncheck boxes in settings to hide if desired). For the Super Trend Row darker colors are more bearish than lighter colors, and consequently lighter colors are more bullish than darker colors. Yellow indicates a neutral or choppy market. Fully stacked EMAs are shown with a Light Green (Lime) color for the bullish condition, and Dark Red for the bearish condition.
Linear Regression Relative Strength[image/x/iZvwDWEY/
Relative Strength indicator comparing the current symbol to SPY (or any other benchmark). It may help to pick the right assets to complement the portfolio build around core ETFs such as SPY.
The general idea is to show if the current symbol outperforms or underperforms the benchmark (SPY by default) when bought some certain time ago. Relative performance is displayed as percent and is calculated for three different time ranges - short (1 mo by default), mid (1 quarter), and long (half a year). To smooth the volatility, the script uses linear regression to estimate the trend and takes the start and the end points of the linear regression line to compute the relative strength.
It is important to remember that the script shows the gain relative to SPY (or other selected benchmark), not the asset's gain. Therefore, it may indicate that the asset is profitable, but it still may lose value if SPY is in downtrend.
Therefore, it is crucial to check other indicators before making a decision. In the example above, standard linear regression for one quarter is used to indicate the direction of the trend.
4-Way EMA Trend4 separate EMAs that are used to determine trend, colored appropriately to reflect the trend to make it easy to tell what the trend is. All 4 EMAs are not needed, you can turn each one on and off individually and the indicator will adjust itself accordingly. Having a single EMA will use the closing price to determine the trend. There are 2 different types of trend detection; EMA Flip and EMA Confluence. EMA Flip is dependent on all active EMAs rising or falling in the correct hierarchical order. The EMA Confluence option is if all EMAs are moving in the same direction. I've found that this second option, EMA Confluence, is more accurate in getting in early before strong movements because the EMAs will more often move in the same direction before they "flip".
Wave Trend OscillatorThis is a very standard version of the Wave Trend Oscillator.
The Channel and Average values are displayed as lines, most people display them as areas.
The Channel and Average difference is displayed as a histogram, most people display it as a tiny noisy area.
I was unable to find a standard version of the Wave Trend Oscillator.
The colorful hyped up versions of this indicator made me feel like a clown while using them.
I have essentially copied the style of the MACD with this indicator, to keep things professional.
With this WTO, you can change the timeframe and source.
You can also change the histogram average length and multiplier, making it usable.
The typical way that people display the histogram is completely unusable and just for appearance.
Now it does a decent job showing when the momentum of the WTO's downward movement is slowing down, just like how the MACD histogram works.
This indicator is essentially a normalized MACD, though they are calculated differently.
The Wave Trend Oscillator is useful for spotting/monitoring changed in mid-trend momentum.
In my experience, divergence in this indicator is a strong signal.
If the MACD is too slow for you, then this is a great alternative; without all the extra fluff people usually add to it.
Levels Of Greed [AstrideUnicorn]The Levels Of Greed indicator is based on the same idea as the Levels Of Fear one and was suggested by several traders in the comment section. It helps analyze price advances to find the best levels for closing a long position in an asset after a quick surge or longer up-trend. In finance, volatility is a term that describes the degree of variation of an asset price over time. It is usually denoted by the letter σ (sigma) and estimated as the standard deviation of the asset price or price returns. The Levels Of Greed indicator helps measure the current price advance in the standard deviation units. It plots seven levels at distances of 1, 2, 3, 4, 5, 6, and 7 standard deviations (sigmas) above the base price (the recent lowest price or lower bound of the established range). In what follows, we will refer to these levels as levels of greed.
HOW TO USE
When the price in its surge reaches a certain level of greed, it means that it has surged from its recent lowest value by a corresponding number of standard deviations. The indicator helps traders see the maximum levels to which the price may rise and estimate the potential height of the current surge. Five-seven sigma surges are relatively rare events and correspond to significant market exuberance. Careful traders and shorter-term ones would not want to participate in the bandwagon effect and herd behavior that drive market bubbles. They prefer to take their profits when the market is not exceedingly overbought.
SETTINGS
Window : the averaging window or period of the indicator. The algorithm uses this parameter to calculate the base level and standard deviations. Higher values are better for measuring deeper and longer surges.
Levels Stability : the parameter used in the up-move detection. The higher the value is, the more stable and long the greed levels are, but at the same time, the lag increases. The lower it is, the faster the indicator responds to the price changes, but the greed levels are recalculated more frequently and are less stable. This parameter is mostly for fine-tuning. It does not change the overall picture much.
Mode : the parameter that defines the style for the labels. In the Cool Guys Mode , the indicator displays the labels as emojis. In the Serious Guys Mode , labels show the distance from the base level measured in standard deviation units or sigmas.
Trendlines with Breaks [LuxAlgo]The trendlines with breaks indicator return pivot point based trendlines with highlighted breakouts. Users can control the steepness of the trendlines as well as their slope calculation method.
Trendline breakouts occur in real-time and are not subject to backpainting. Trendlines can however be subject to repainting unless turned off from the user settings.
The indicator includes integrated alerts for trendline breakouts.
🔶 USAGE
Any valid trendlines methodology can be used with the indicator, users can identify breakouts in order to infer future price movements.
The calculation method of the slope greatly affects the trendline's behaviors. By default, an average true range is used, returning a more constant slope amongst trendlines. Other methods might return trendlines with significantly different slopes.
Stdev makes use of the standard deviation for the slope calculation, while Linreg makes use of the slope of a linear regression.
The above chart shows the indicator using "Stdev" as a slope calculation method. The chart below makes use of the "Linreg" method.
By default trendlines are subject to backpainting, and as such are offset by length bars in the past. Disabling backpainting will not offset the trendlines.
🔶 SETTINGS
Length: Pivot points period
Slope: Slope steepness, values greater than 1 return a steeper slope. Using a slope of 0 would be equivalent to obtaining levels.
Slope Calculation Method: Determines how the slope is calculated.
Backpaint: Determine whether trendlines are backpainted, that is offset to past.
Bitcoin Movement vs. Coin's Movement MTFThis script tracks the percent change of Bitcoin vs. the percent change of the coin on the chart. Crypto markets are usually affected greatly by Bitcoin swings so being able to see if the given coin is trending above or below Bitcoin is useful market data. All choices made with this script are your own! Thanks.
8X Trend ATR SAR Dingue V58X Trend ATR SAR Dingue V5 - This is the updated version for Pine Script 5.
8x indicator into 1 :
2x ATR indicator - 3x Trend indicator - 3x SAR indicator
Trends are helpful to spot reversal and support resistance, especially on bigger time frames.
This indicator gives you a global view of various trends all at once. You can easily turn them On or Off as to not clog the screen.
Each trend is also color-coded to visualize quickly the position of the price compared to it.
You can customize lengths, adjust line sizes, have the start of a new trend marked with a circle, fill in colors.
'Tool tips' explain other settings and if you have any questions, feel free to ask in the comments below.
Thank you for the feedback and check all my ‘Dingue’ indicators.
Levels Of Fear [AstrideUnicorn]"Buy at the level of maximum fear when everyone is selling." - says a well-known among traders wisdom. If an asset's price declines significantly from the most recent highest value or established range, traders start to worry. The higher the drawdown gets, the more fear market participants experience. During a sell-off, a feedback loop arises, in which the escalating fear and price decline strengthen each other.
The Levels Of Fear indicator helps analyze price declines and find the best times to buy an asset after a sell-off. In finance, volatility is a term that describes the degree of variation of an asset price over time. It is usually denoted by the letter σ (sigma) and estimated as the standard deviation of the asset price or price returns. The Levels Of Fear indicator helps measure the current price decline in the standard deviation units. It plots seven levels at distances of 1, 2, 3, 4, 5, 6, and 7 standard deviations (sigmas) below the base price (the recent highest price or upper bound of the established range). In what follows, we will refer to these levels as levels of fear.
HOW TO USE
When the price in its decline reaches a certain level of fear, it means that it has declined from its recent highest value by a corresponding number of standard deviations. The indicator helps traders see the minimum levels to which the price may fall and estimate the potential depth of the current decline based on the cause of the actual market shock. Five-seven sigma declines are relatively rare events and correspond to significant market shocks. In the lack of information, 5-7 sigma levels are good for buying an asset. Because when the price falls that deep, it corresponds to the maximum fear and pessimism in the market when most people are selling. In such situations, contrarian logic becomes the best decision.
SETTINGS
Window: the averaging window or period of the indicator. The algorithm uses this parameter to calculate the base level and standard deviations. Higher values are better for measuring deeper and longer declines.
Levels Stability: the parameter used in the decline detection. The higher the value is, the more stable and long the fear levels are, but at the same time, the lag increases. The lower it is, the faster the indicator responds to the price changes, but the fear levels are recalculated more frequently and are less stable. This parameter is mostly for fine-tuning. It does not change the overall picture much.
Mode: the parameter that defines the style for the labels. In the Cool Guys Mode , the indicator displays the labels as emojis. In the Serious Guys Mode , labels show the distance from the base level measured in standard deviation units or sigmas.
[H] Multi Coin Compare
Use a focal point to compare multiple coins price action to one another in real time
View the price of up to 5 coins in an easy to view table
Fully Customizable
TFO + ATR Strategy with Trailing Stop LossThis strategy is an experiment to learn what happens when The Trend Flex Oscillator (by Dr. John Ehlers) is used in conjunction with a volatility indicator like ATR. It was designed with cryptocurrency trading in mind.
The way I coded this experiment makes it unsuitable for bear market conditions.
When applied to a bull market, this trend-following strategy will open long positions when oversold price action appear to be reversing. It will typically close a position within a few days unless it gets caught in a bear market, in which case it holds on for dear life. I have tried to make back-testing very simple, but you should never trust it. It's merely and interesting tool for adjusting the many parameters that I've made editable in the configuration window. Those values include the ATR and TFO parameters, as well as setting a trailing stop loss. When closing a position, the strategy can optionally be told to ignore the trend analysis and only obey the trailing stop loss value. I've made an attempt to allow the user to define the minimum profit necessary to allow the strategy to close all all positions. In my observations, the 2H candlestick charts seem to produce the best results, although the parameters of the strategy could theoretically be adjusted to suit other time periods.
In summary...
This strategy has a bias for HODL (Holds on to Losses) meaning that it provides NO STOP LOSS protection!
Also note that the default behavior is designed for up to 15 open long orders, and executes one order to close them all at once.
Opening a long position is predicated on The Trend Flex Oscillator (TFO) rising after being oversold, and ATR above a certain volatility threshold.
Closing a long is handled either by TFO showing overbought while above a certain ATR level, or the Trailing Stop Loss. Pick one or both.
If the strategy is allowed to sell before a Trailing Stop Loss is triggered, you can set a "must exceed %". Do not mistake this for a stop loss.
Short positions are not supported in this version. Back-testing should NEVER be considered an accurate representation of actual trading results.
// portions © allanster (date window code)
// portions © Dr. John Ehlers (Trend Flex Oscillator)
This code is provided for educational purposes only. The results of this strategy should not be considered investment advice.
The user of this script acknowledges that it can result in serious financial loss when used as a trading tool
Retail Insider Trend Following (HTF ONLY)Before I begin, here is a disclaimer: None of this is financial advice, and I'll recommend you to do your own research or talk to your financial advisor, if you want to use this. And also make sure you understand the risks properly before taking any trades. This particular indicator is a work of experiment, and I am publishing the optimized code. Please leave a comment below if you have any queries.
As per the logic, I am taking the highest point in a particular time window (used the in built ta.highest function) , and the lowest point in a particular time window (used the ta.lowest), and averaged it using the in built function (
RMA(which is the B33 Mean.)
For the offset, I am simply calculating and adding some values (which can also be input by the user.)
and this user input is in percentage.
So if you observe the lines, the Red line in between is the mean, and the Yellow lines are the offsets. (Everything can be changed in settings)
In simple layperson terms, if the price goes above the Red line, it's an uptrend,
and if the price goes below the Red line, it is in a downtrend.
Now I just wanted to keep the offset because I wanted more confirmation before actually entering a trade. (the offset can be changed again, from the settings, and the offset is in percentage)
A lot of times, you will see that the price is kind of going sideways, where, a lot of traders get trapped, as there is no clear trend.
So in order to eliminate that choppy price action and stay out, I'm using this offset. This should probably save a lot of bad trades.
So basically, if the price goes and closes above the higher offset, it will confirm a trend change, and a possible bull market.
Similarly, if the price goes and closes below the lower offset, it will confirm the end of the bull market, or a corrective phase, or a bear market.
A few things to note, however...
If you change the timeframe, you will see that the lines are not shifting/changing that much. This is because, it will consider the highest and the lowest points and average it.
So, basically, if you do the math, you will understand why,... and this logic is purely for a higher timeframe analysis/confirmation.
I'll personally recommend this kind of a setup for swing trading/confirmation on the daily or the 4H charts, mostly for longer timeframes. (If you are on the pro/pro+ or premium, you can try out 6H or 12H timeframes as well)
If you are looking for scalping, setups and indicators, this is not the right one.
If you liked it, don't forget to give a follow :)
Adaptive Trend Cipher loxx]Adaptive Trend Cipher
Highly experimental!
Features:
-Implements 5 different Dominant Adaptive Cycle Measures to determine optimal inputs for correlation functions. These cycle calculations include the following: **
* Ehler's Autocorrelation Dominant Cycle
* Ehler's Instantaneous Dominant Cycle
* Ehler's Band-pass Dominant Cycle
* Ehler's Hilbert Period Dominant Cycle
* Ehler's Dual Differentiator Dominant Cycle
**additional cycle measures to be added in future releases
-Uses price to time correlation with look-back periods determined by the dominant cycle measures
-Allows users to manipulate the range of Dominant Cycle inputs, also allows the user to change the size % of the the output Dominant cycle to be used to determine correlation lengths
-Bars are colored according to correlation extremes. Green bars are uptrend, Red bars are downtrend; Yellow bars are high correlation, Fuchsia bars are low correlation
Uses
-Trend cipher is a novel approach to teasing out macro trends in the market. This version is geared to be used on the daily time frame only
-Reversals at yellow and fuchsia bars when they appear, it shows price exhaustion using
Warning: This may not work on certain assets due to the high processing power required to calculate cycle dominance. This also uses a custom correlation function since the data being input intot he correlation function is not constant but variable based on cycle dominance at every bar. To correct this in most circumstances you must change the max_bars_back constant in the indicator method call
If you use parts of the code, please let me know, I would love to hear what you do with it.
Happy trading!
Universal logarithmic growth curves, with support and resistanceLogarithmic regression is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span).
The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75% or 95% confidence line.
This script is:
- Designed to be usable in all tickers. (not only for bitcoin now!)
- Logarithmic regression and shows support-resistance level
- Shape of lines are all linear adjustable
- Height difference of levels and zones are customizable
- Support and resistance levels are highlighted
Input panel:
- Steps of drawing: Won't change it unless there are display problems.
- Resistance, support, other level color: self-explanatory.
- Stdev multipliers: A constant variable to adjust regression boundaries.
- Fib level N: Base on the relative position of top line and base line. If you don't want all fib levels, you might set all fib levels = 0.5.
- Linear lift up: vertically lift up the whole set of lines. By linear multiplication.
- Curvature constant: It is the base value of the exponential transform before converting it back to the chart and plotting it. A bigger base value will make a more upward curvy line.
FAQ:
Q: How to use it?
A: Click "Fx" in your chart then search this script to get it into your chart. Then right click the price axis, then select "Logarithmic" scale to show the curves probably.
Q: Why release this script?
A: - This script is intended to to fix the current issues of bitcoins growth curve script, and to provide a better version of the logarithmic curve, which is not only for bitcoin , but for all kinds of tickers.
- In the public library there is a hardcoded logarithmic growth curve by @quantadelic . But unfortunately that curve was hardcoded by his manual inputs, which makes the curve stop updating its value since 2019 the date he publish that code. Many users of that script love using it but they realize it was stop updating, many users out there based on @quantadelic version of "bitcoin logarithmic growth curves" and they tried their best to update the coordinates with their own hardcode input values. Eventually, a lot of redundant hardcoded "Bitcoin growth curve" scripts was born in the public library. Which is not a good thing.
Q: What about looking at the regression result with a log scale price axis?
A: You can use this script that I published in a year ago. This script display the result in a log scale price axis.
