R2-Adaptive RegressionOVERVIEW
This is an implementation of alexgrover's R2-Adaptive Regression optimized for the latest version of TradingView.
Full details on the indicator are on alexgrover's page here:
Regresi Linier / Linear Regression
Regression Channel Trend DetectionThis is a regression channel that uses ichimoku to determine trend. The sensitivity is customizable. The centerline will change color according to the trend detected by ichimoku, and each line can act as support/resistance. The bands of the channel also change colors according to how far price is getting away from them. If you notice in this example, the lower band is turning orange when the price is getting too far away from it, suggesting that it may have risen too fast and too soon. This is still in testing so feel free to comment with any suggestions or fixes.
Real-Fast Fourier Transform of Price w/ Linear Regression [Loxx]Real-Fast Fourier Transform of Price w/ Linear Regression is a indicator that implements a Real-Fast Fourier Transform on Price and modifies the output by a measure of Linear Regression. The solid line is the Linear Regression Trend of the windowed data, The green/red line is the Real FFT of price.
What is the Discrete Fourier Transform?
In mathematics, the discrete Fourier transform (DFT) converts a finite sequence of equally-spaced samples of a function into a same-length sequence of equally-spaced samples of the discrete-time Fourier transform (DTFT), which is a complex-valued function of frequency. The interval at which the DTFT is sampled is the reciprocal of the duration of the input sequence. An inverse DFT is a Fourier series, using the DTFT samples as coefficients of complex sinusoids at the corresponding DTFT frequencies. It has the same sample-values as the original input sequence. The DFT is therefore said to be a frequency domain representation of the original input sequence. If the original sequence spans all the non-zero values of a function, its DTFT is continuous (and periodic), and the DFT provides discrete samples of one cycle. If the original sequence is one cycle of a periodic function, the DFT provides all the non-zero values of one DTFT cycle.
What is the Complex Fast Fourier Transform?
The complex Fast Fourier Transform algorithm transforms N real or complex numbers into another N complex numbers. The complex FFT transforms a real or complex signal x in the time domain into a complex two-sided spectrum X in the frequency domain. You must remember that zero frequency corresponds to n = 0, positive frequencies 0 < f < f_c correspond to values 1 ≤ n ≤ N/2 −1, while negative frequencies −fc < f < 0 correspond to N/2 +1 ≤ n ≤ N −1. The value n = N/2 corresponds to both f = f_c and f = −f_c. f_c is the critical or Nyquist frequency with f_c = 1/(2*T) or half the sampling frequency. The first harmonic X corresponds to the frequency 1/(N*T).
The complex FFT requires the list of values (resolution, or N) to be a power 2. If the input size if not a power of 2, then the input data will be padded with zeros to fit the size of the closest power of 2 upward.
What is Real-Fast Fourier Transform?
Has conditions similar to the complex Fast Fourier Transform value, except that the input data must be purely real. If the time series data has the basic type complex64, only the real parts of the complex numbers are used for the calculation. The imaginary parts are silently discarded.
Inputs:
src = source price
uselreg = whether you wish to modify output with linear regression calculation
Windowin = windowing period, restricted to powers of 2: "4", "8", "16", "32", "64", "128", "256", "512", "1024", "2048"
Treshold = to modified power output to fine tune signal
dtrendper = adjust regression calculation
barsback = move window backward from bar 0
mutebars = mute bar coloring for the range
Further reading:
Real-valued Fast Fourier Transform Algorithms IEEE Transactions on Acoustics, Speech, and Signal Processing, June 1987
Related indicators utilizing Fourier Transform
Fourier Extrapolator of Variety RSI w/ Bollinger Bands
Fourier Extrapolation of Variety Moving Averages
Fourier Extrapolator of Price w/ Projection Forecast
Cycle-Period Adaptive, Linear Regression Slope Oscillator [Loxx]Cycle-Period Adaptive, Linear Regression Slope Oscillator is an osciallator that solves for the Linear Regression slope and turns it into an oscillator. This is a very simple calculation and uses one of Ehler's first implementations of his cycle period calculations. The output slope value is smoothed after calculation and before being drawn. This is a sort of momentum indicator and has a rich history with Forex traders around the world.
What is the Cycle Period?
The spectral content of the data are measured in a bank of contiguous filters as described in "Measuring Cycle Periods" in the March 2008 issue of Stocks & Commodities Magazine. The filter having the strongest output is selected as the current dominant cycle period. The cycle period is measured as the number of bars contained in one full cycle period.
What is Linear Regression?
In statistics, linear regression is a linear approach for modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear regression.
Included:
Bar coloring
2 signal types
Alerts
Loxx's Expanded Source Types
Loxx's Moving Averages
Polynomial-Regression-Fitted RSI [Loxx]Polynomial-Regression-Fitted RSI is an RSI indicator that is calculated using Polynomial Regression Analysis. For this one, we're just smoothing the signal this time. And we're using an odd moving average to do so: the Sine Weighted Moving Average. The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average). So we're trying to tease out some cycle information here as well, however, you can change this MA to whatever soothing method you wish. I may come back to this one and remove the point modifier and then add preliminary smoothing, but for now, just the signal gets the smoothing treatment.
What is Polynomial Regression?
In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data. For this reason, polynomial regression is considered to be a special case of multiple linear regression .
Included
Alerts
Signals
Bar coloring
Loxx's Expanded Source Types
Loxx's Moving Averages
Other indicators in this series using Polynomial Regression Analysis.
Poly Cycle
PA-Adaptive Polynomial Regression Fitted Moving Average
Polynomial-Regression-Fitted Oscillator
Polynomial-Regression-Fitted Oscillator [Loxx]Polynomial-Regression-Fitted Oscillator is an oscillator that is calculated using Polynomial Regression Analysis. This is an extremely accurate and processor intensive oscillator.
What is Polynomial Regression?
In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data. For this reason, polynomial regression is considered to be a special case of multiple linear regression .
Things to know
You can select from 33 source types
The source is smoothed before being injected into the Polynomial fitting algorithm, there are 35+ moving averages to choose from for smoothing
This indicator is very processor heavy. so it will take some time load on the chart. Ideally the period input should allow for values from 1 to 200 or more, but due to processing restraints on Trading View, the max value is 80.
Included
Alerts
Signals
Bar coloring
Other indicators in this series using Polynomial Regression Analysis.
Poly Cycle
PA-Adaptive Polynomial Regression Fitted Moving Average
Auto Linear Regression ChannelsThe Linear Regression indicator visualizes the general price trend of a specific part of the chart based on the Linear Regression calculation. The central line of the indicator is the linear regression calculation itself, and the lines above or below it are X number of standard deviations removed from the main one. This is a good tool to use to determine when a price is unusually far away from its baseline.
This differs from the built-in Linear Regression indicator by adding in more standard deviations to show more potential reversal points.
RSI Divergence Scanner by zdmreDivergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
If the stock is rising and making new highs, ideally the RSI is reaching new highs as well. If the stock is making new highs, but the RSI starts making lower highs, this warns the price uptrend may be weakening. This is negative divergence.
Positive divergence is the opposite situation. Imagine the price of a stock is making new lows while the RSI makes higher lows with each swing in the stock price. Investors may conclude that the lower lows in the stock price are losing their downward momentum and a trend reversal may soon follow.
Divergence is one of the common uses of many technical indicators, primarily the oscillators.
Use it at your own risk
Everything Bitcoin [Kioseff Trading]Hello!
This script retrieves most of the available Bitcoin data published by Quandl; the script utilizes the new request.security_lower_tf() function.
Included statistics,
True price
Volume
Difficulty
My Wallet # Of Users
Average Block Size
api.blockchain size
Median Transaction Confirmation Time
Miners' Revenue
Hash Rate
Cost Per Transaction
Cost % of Transaction Volume
Estimated Transaction Volume USD
Total Output Volume
Number Of Transactions Per Block
# of Unique BTC Addresses
# of BTC Transactions Excluding Popular Addresses
Total Number of Transactions
Daily # of Transactions
Total Transaction Fees USD
Market Cap
Total BTC
Retrieved data can be plotted as line graphs; however, the data is initially split between two tables.
The image above shows how the requested Bitcoin data is displayed.
However, in the user inputs tab, you can modify how the data is displayed.
For instance, you can append the data displayed in the floating statistics box to the stagnant statistics box.
The image above exemplifies the instance.
You can hide any and all data via the user inputs tab.
In addition to data publishing, the script retrieves lower timeframe price/volume/indicator data, to which the values of the requested data are appended to center-right table.
The image above shows the script retrieving one-minute bar data.
Up arrows reflect an increase in the more recent value, relative to the immediately preceding value.
Down arrows reflect a decrease in the more recent value relative to the immediately preceding value.
The ascending minute column reflects the number of minutes/hours (ago) the displayed value occurred.
For instance, 15 minutes means the displayed value occurred 15 minutes prior to the current time (value).
Volume, price, and indicator data can be retrieved on lower timeframe charts ranging from 1 minute to 1440 minutes.
The image above shows retrieved 5-minute volume data.
Several built-in indicators are included, to which lower timeframe values can be retrieved.
The image above shows LTF VWAP data. Also distinguished are increases/decreases for sequential values.
The image above shows a dynamic regression channel. The channel terminates and resets each fiscal quarter. Previous channels remain on the chart.
Lastly, you can plot any of the requested data.
The new request.security_lower_tf() function is immensely advantageous - be sure to try it in your scripts!
Infiten's Regressive Trend Channel An experiment using Pinescript's candle plotting feature. This indicator performs a linear regression on the lows, highs, and moving average, and plots them all in the form of a candlestick. If the close is below the prediction, the candlestick is red, if the close is above the regression, the candlestick is green. Effective and aesthetic way to analyze trends.
[Fedra Algotrading Strategy 2tp+L&S] Futures Long or ShortStrategy for crypto market, designed for automatic algorithmic trading with bots.
Can place long and short orders
Calculates your entries based on the breakout of the simple deviation of the linear regression of the last X periods.
Configures TP (green line) and SL (red line) percentages, the TP is a trailing TP.
Optionally, you can set a first TP (white line) that sells half of the position.
Advanced trend filter to not open trades against the market. SMA (yellow line), WMA (blue line) and secret sauce
Includes an advanced system to control the backtest period (choose how many days to backtest).
Risk management by volume of capital or amount of losing trades (kill switches that will exit the trade and stop the script)
The script includes default commissions of 0.2% per trade (configurable).
- Dinamic table with Price positions to plan your limit orders if you are trading manually
- Highly customizable and optimizable.
If you want to trade longs and shorts, it is advisable to create 2 different alerts. In most cases, the optimal parameters for longs are not the same as for shorts. In a forthcoming update I will enable separate configurations.
For better performance the script uses real time price information, for this reason Tradingview may warn you that there is "repainting", as the backtest information does not contain the information of each tick but only the open, close, high and low values of each candle.
To avoid this, you can disable the "calculate on every tick" option from the strategy settings panel.
SMI MTF 4-Colored MAs (jkf)Four linear moving averages of varying frequency. Reading the moving averages is an art. If looking at a Daily price chart (for example):
For bullish trades, I like to see the yellow (longest term) moving average moving higher, but timing can be improved by respecting the shorter term lines, especially the black (shortest term).
For further support of your hypothesis, switch the frequency to Weekly, and validate that is supportive as well.
Warning: "Lookahead" is set to on, so large price swings can alter prior day readings.
Linear Regression CloudClouds based on Linear Regression Band.
A cloud forms if the linear regression channel is fully on one side of the channel on higher time frames.
The cloud represents the gap between the upper/lower channel and the baseline on the higher time frame.
The higher time frames have 2x, 4x and 8x the length.
Trend Line wi 3-PointsHello, my friends. This is a new version of the trend line regression indicator, which always finds quantitive trend lines with three key points.
(1) Indicator description
This indicator finds a trend line with three key points on the historical K-line
Solving the problem of calculation timeout based on a faster trend line regression algorithm
Supports filtering unwanted trend lines by setting a trendline strength threshold
It's suitable for most markets and timeframes
(2) Key parameters
- Pivot High/Low Settings
Pivot Lookback Left: Number of K-lines to look back left from the pivot top/bottom
Pivot Lookback Right: Number of K-lines to look back right from the pivot top/bottom
- Trend Line Regression
Max of Lookback Forward: The maximum number of historical K-lines
Min Regression Strength: The minimum strength threshold for trend line regression
Multiply Regression Std: The width of the trend line to display on the chart
(3) Script description
Due to some circumstances that I don't want to see, subsequent scripts will not be open source, but you can still use the script for free. Thanks for your understanding and support!
If you have any suggestions or comments about the script, please feel free to leave your comments!
Happy trading, and enjoy your life!
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各位朋友大家好，这是一个全新的趋势线回归指标。该指标总是会找到在图表中具有3个关键点的合理趋势线
(1) 指标说明
该指标在历史K线上找到具有3个关键点的趋势线，并绘制于图表上
基于更快速的趋势线回归算法，解决了计算超时的问题
支持通过设置趋势线强度阈值过滤不需要的趋势线
该指标适用于大部分市场和时间周期
(2) 关键参数
- Pivot High/Low Settings
Pivot Lookback Left: 枢纽顶/底点往左回顾的 K线 数量
Pivot Lookback Right: 枢纽顶/底点往右回顾的 K线 数量
- Trend Line Regression
Max of Lookback Forward: 回顾历史 K线 的最大数量
Min Regression Strength: 趋势线回归的最小强度阈值
Multiply Regression Std: 趋势线的显示宽度
(3) 脚本说明
因为出现了一些我不希望看到的情况，后续的脚本将不再开源代码，但是您依然可以免费使用该脚本，感谢理解和支持！
如果您存在对于该脚本的使用建议或者意见，欢迎各位留言！
祝大家交易愉快
[k4d] DCA SniperFrench text below / Texte en Français plus bas
TL;DR
DCA Sniper is an indicator that tells you the perfect time to do DCA, the bottoms areas are indicated by red bars, the buy signal is given when a yellow bar appears.
"DCA Sniper" aims to help you make DCA (Dollar Cost Average) smarter.
Instead of buying your cryptos at a regular rate, this script will send you an alert at an opportune moment when the prices are touching, or are close to, a bottom.
The script works on several time intervals, the smaller the interval the more signals you will get...
so you can try with several time slots and choose the one that gives you the best signals for your strategy.
How to use this indicator
The indicator scans the price evolution in real time and displays grey bars
When it detects a potential bottom, the bars become darker
When the bottom is near, the bars turn red
Finally, when a potential bottom is detected, a yellow bar is displayed => it's time to buy
Warning:
Since the indicator works in real time, a bar can change color as long as the current candle is not closed. A yellow bar may very well turn red and thus cancel the signal. So wait for the close before making a decision.
Settings
This version of the indicator has only two settings:
Use Candlesticks filter: If this box is checked, the script will try to eliminate false signals based on candlestick patterns.
Use LinReg filter: If this box is checked, the script uses the "LinReg length" value to apply a linear regression and filters out all bottoms that fall within a standard deviation of the linear regression.
Before using DCA Sniper
This indicator was not developed for trading, although it can give good potential entries.
If you use it for trading, please manage your risk well and share your feedback :)
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Résumé
DCA Sniper est un indicateur qui vous indique le moment parfait pour faire du DCA, les zones de bottoms sont indiquée par des barres rouges, le signal d'achat est donné lorsqu'une barre jaune apparait.
"DCA Sniper" a pour objectif de vous aider à faire du DCA (Dollar Cost Average) plus intelligement
Au lieu d'acheter vos crypto à un rythme régulier, ce script va vous envoyer une alerte à un moment opportun ou les prix touchent, ou sont proches, d'un bottom.
Le script fonctionne sur plusieurs intervals horaires, plus l'interval est petit plus vous aurez des signaux ...
vous pouvez donc essayer avec plusieurs tranches horaires et choisir celle qui vous donnent les meilleurs signaux pour votre stratégie.
Comment utiliser cet indicateur
L'indicateur scan l'évolution des prix en temps réel et affiche des barres grises
Lorsqu'il détecte une zone de bottom potentiel, les barres deviennent plus foncées
Lorsque le bottom est proche les barres deviennent rouges
Enfin, lorsqu'un bottom potentiel est détecté, une barre jaune s'affiche => c'est le moment d'acheter
Attention
Puisque l'indicateur fonctionne en temps réel, une barre peut changer de couleur tant que la bougie actuelle n'est pas cloturée. Une barre jaune peut très bien devenir rouge et annule donc le signal. Il faut donc attendre la cloture avant de prendre une décision.
Réglages
Cette version de l'indicateur propose seulement deux réglages :
Use Candlesticks filter : Si cette case est cochée, le script va essayer d'éliminer des faux signaux en se basant sur des patterns de bougies.
Use LinReg filter : Si cette case est cochée, le script utilise la valeur "LinReg length" pour appliquer une regression linéaire et filtre tous les bottoms qui se retrouvent au sein d'une déviation standard de la régression linéaire.
Avant d'utiliser DCA Sniper
Cet indicateur n'a pas été développé pour faire du trading, bien qu'il puisse donner de bonnes entrées potentielles.
Si vous l'utilisez pour du trading, gérer bien votre risque et partagez vos retours :)
Trend Line RegressionThis is a fast trend line regressor based on least squares regression.
(1) Supports setting regression from the Nth candle
(2) Supports the minimum and maximum regression candle interval length
(3) Supports finding the optimal regression region based on the length step among the minimum and maximum regression region lengths
(4) Supports displaying the optimal regression level
(5) The size of the regression region is 0.5 times the standard deviation by default
(6) You can filter the trend line by setting minimum trend line regression level
(6) Please properly set the parameters to avoid calculation timeout
Enjoy!
这是一个基于最小二乘法回归的快速趋势线回归
(1) 支持从第N根蜡烛开始设置回归
(2) 支持最小和最大的回归蜡烛区间长度
(3) 支持在最小和最大回归区间长度的基础上寻找最佳回归区域
(4) 支持显示最佳回归水平
(5) 回归区域的大小默认为标准差的0.5倍
(6) 可以通过设置最小趋势线回归等级来过滤趋势线
(6) 请正确设置参数以避免计算超时
使用愉快!
Price Region RegressionThis is an optimized price range regressor based on least squares regression.
(1) Supports setting regression from the Nth candle
(2) Supports the minimum and maximum regression candle interval length
(3) Supports finding the optimal regression region based on the length step among the minimum and maximum regression region lengths
(4) Supports displaying the optimal regression level
(5) The size of the regression region is two times the standard deviation by default
这是一个基于最小二乘回归的价格区间回归指标
(1) 支持设置从第N个蜡烛开始回归
(2) 支持最小和最大回归蜡烛的区间长度
(3) 在最小和最大回归区间长度中，根据长度步进寻找最优的回归区间
(4) 支持显示最优回归等级
(5) 回归区间的大小默认为2倍标准差
[_ParkF]Linreg & Trendlines* The script has been uploaded again.
Linear regression and trendline not only facilitate trend identification,
but also identify support and resistance within it,
and linear regression and trendline departure can detect trend changes, which are useful in trading.
Linear regression and trend lines are shown in the chart.
It offers a variety of options, length, color, thickness, on/off switch, etc.
I hope it will help you with your trading.
hope you become rich!
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* 스크립트가 다시 업로드 되었습니다.
선형 회귀(채널) 및 추세선은 추세 식별을 용이하게 할 뿐만 아니라,
또한 그 안에서 지지와 저항을 식별하고,
선형 회귀(채널) 및 추세선 이탈은 거래에 유용한 추세 변화를 감지할 수 있습니다.
선형 회귀(채널) 및 추세선이 차트에 표시됩니다.
길이, 색상, 두께, 온/오프 스위치 등 다양한 옵션을 제공합니다.
거래에 도움이 되셨으면 합니다.
부자되세요!
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* I would like to express my gratitude to zdmre for revealing the linear regression source.
Cashew NutsThis indicator used the average regression of stock prices.
In general, stock prices show how they form new prices when they are outside the average price or range.
Therefore, when stock prices show an average price flow, if you take both long and short positions, you will have an opportunity to convert the spread into profit in the meantime.
How to use -
When the direction is determined from the average price, and when the direction is up, it is generally interpreted as a drop as soon as it deviates from the resistance line.
When the direction is determined from the average price, and when the direction is lowered, it is generally expected to rise as soon as it breaks the support line.
Precautions -
These indicators do not guarantee profits.
[_ParkF]MFI+Added the Moneyflow Index indicator.
Divergence signals and diversion lines are drawn.
Support and resistance were also confirmed when linear regression and trend lines were used for the Moneyflow Index.
Two linear regression and two trend lines are drawn.
Because the two linear regression values are different, you can see the support and resistance of long-term and short-term linear regression.
Since the periodic values of the two trend lines are also different, support and resistance that could not be identified in linear regression can be identified.
Each linear regression line and trend line can be turned on or off.
In addition, each linear regression line and trend line can arbitrarily modify period values and deviation values.
I hope it will help you trade.
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머니플로우인덱스 지표를 추가하였습니다.
다이버전스 신호와 다이버전스 라인이 그려집니다.
머니플로우인덱스에도 선형회귀와 추세선을 이용했을 때 지지와 저항이 확인이 되었습니다.
2개의 선형회귀와 2개의 추세선이 그려지고
두 선형 회귀 값은 서로 다르기 때문에 장기 및 단기 선형 회귀의 지지 및 저항을 확인할 수 있습니다.
두 추세선의 주기 값도 다르므로 선형 회귀 분석에서 확인할 수 없었던 지지 및 저항을 확인할 수 있습니다.
각 선형 회귀선 및 추세선은 켜거나 끌 수 있습니다.
또한 각 선형 회귀선 및 추세선은 주기 값과 편차 값을 임의로 수정할 수 있습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
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* I would like to express my gratitude to zdmre for revealing the linear regression source.
* I would like to express my gratitude to aaahopper for revealing the trendlines source.
[_ParkF]RSI+RSI ----- UPGRADE ----> RSI+
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The RSI index has been upgraded.
The display function of RSI Candle, RSI Line, Divergence, and Divergence Line, which were previous functions, has been maintained.
As an upgrade, two linear regression and two trend lines are drawn.
Since the two linear regression values are different, support and resistance of long-term and short-term linear regression can be confirmed.
The two trend lines also have different period values, so it is possible to check support and resistance that could not be confirmed in linear regression.
Each linear regression and trend line can be turned on and off.
In addition, each linear regression and trend line can arbitrarily modify period values and deviation values.
Log charts and linear chart switches have been added to the trend line.
I hope it will help you with your trading.
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RSI 인덱스가 업그레이드되었습니다.
기존 기능이었던 캔들, 라인, 다이버전스, 다이버전스 라인의 디스플레이 기능은 그대로 유지됐다.
업그레이드로 두 개의 선형 회귀 분석과 두 개의 추세선이 그려집니다.
두 선형 회귀 값은 서로 다르기 때문에 장기 및 단기 선형 회귀의 지지 및 저항을 확인할 수 있습니다.
두 추세선의 주기 값도 다르므로 선형 회귀 분석에서 확인할 수 없었던 지지 및 저항을 확인할 수 있습니다.
각 선형 회귀선 및 추세선은 켜거나 끌 수 있습니다.
또한 각 선형 회귀선 및 추세선은 주기 값과 편차 값을 임의로 수정할 수 있습니다.
로그 차트 및 선형 차트 스위치가 추세선에 추가되었습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
* I would like to express my gratitude to zdmre for revealing the linear regression source.
* I would like to express my gratitude to aaahopper for revealing the trendlines source.
[_ParkF]RSI (+ichimoku cloud)RSI
Typical 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.
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(+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.
일반적인 RSI 지표를 캔들화 하였고 꼬리까지 포함하여 캔들 차트와 유사하게 표현 하고,
캔들화한 RSI 지표에 선형회귀(채널)를 추가 하여 RSI 지표 특유의 힘의 강도의 변화를 지지와 저항으로 확인할 수 있게 해봤습니다.
또한 다이버전스 신호를 추가하여 선형회귀(채널)로 인한 지지와 저항에 따른 가격 변동의 근거로 삼을 수 있습니다.
즉, 선형회귀(채널) 안에서 RSI 캔들이 지지와 저항을 받을 때 다이버전스 신호가 함께 나타난다면 이는 기존 추세의 변화 지점임을
예측해 볼 수 있는 근거가 됩니다.
마지막으로 선형회귀(채널)의 기간값과 표준편차는 임의로 수정하여 사용할 수 있습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
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(+일목균형표의 구름)
일목균형표의 선행스팬1과 선행스팬2로 만들어진 구름은 현재 가격의 균형을 미래에 선행하여 표시하여 추세를 예측해볼 수 있습니다.
본 지표에서는 위에서 설명한 일목균형표의 구름의 역할과 더불어 현 RSI 값의 구름대 지지, 저항 또한 확인해볼 수 있습니다.
* I would like to express my gratitude to zdmre for revealing the linear regression source.
[_ParkF]RSIRSI
Typical 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.
일반적인 RSI 지표를 캔들화 하였고 꼬리까지 포함하여 캔들 차트와 유사하게 표현 하고,
캔들화한 RSI 지표에 선형회귀(채널)를 추가 하여 RSI 지표 특유의 힘의 강도의 변화를 지지와 저항으로 확인할 수 있게 해봤습니다.
또한 다이버전스 신호를 추가하여 선형회귀(채널)로 인한 지지와 저항에 따른 가격 변동의 근거로 삼을 수 있습니다.
즉, 선형회귀(채널) 안에서 RSI 캔들이 지지와 저항을 받을 때 다이버전스 신호가 함께 나타난다면 이는 기존 추세의 변화 지점임을
예측해 볼 수 있는 근거가 됩니다.
마지막으로 선형회귀(채널)의 기간값과 표준편차는 임의로 수정하여 사용할 수 있습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
* I would like to express my gratitude to zdmre for revealing the linear regression source.
