Adaptive moving average settings In this blog, we’ll be taking an in-depth look at the Kaufman Adaptive Moving Average (KAMA) by Perry Kaufman, developed In 1972, legendary trader Perry Kaufman started developing the Kaufman Adaptive Moving Average (KAMA). 什麼是Kaufman’s Adaptive Moving Average指標？ Kaufman’s Adaptive Moving Average（KAMA）指標是一種自適應移動平均線，由Perry Kaufman於1990年開發，它可以 I recently learned about strides in the answer to this post, and was wondering how I could use them to compute a moving average filter more efficiently than what I proposed in Fractal Adaptive Moving Average Settings: FRAMA: blue line, SC = 252, FC = 40, length = 252 EMA: orange line, length = 50 FRAMA seems to be the evolution of the current and much A Powerful Trading Indicator: The Adaptive Moving Average | Definedge | Prashant Shah#askdefinedge #movingaverage #priceactiontrading #trading #stockmarke The Multi Adaptive Moving Average (MAMA) indicator is an advanced tool for technical analysis, designed to provide traders with a detailed understanding of market trends Dive into the Kaufman’s Adaptive Moving Average (KAMA) indicator on Cryptohopper. Kaufman created KAMA to take market noise into account. The Adaptive Moving Average becomes more sensitive during This strategy combines Kaufman's Adaptive Moving Average for entry with optional KAMA, PSAR, and Trailing ATR stops for exits. . It was This is Jurik Research's original moving average and a predecessor of the well-known Jurik Moving Average (JMA). Unlike traditional To add and set up the indicator, open the Indicators settings window. When used within a shorter period, it can identify trading signals. The best one is This indicator is designed based on the Moving Origin indicator When the moving origin indicator breaks the price, this indicator gives a signal It is useful for better viewing of signals and analysis on them Attributes: Can be A comparison of moving average filtering with and without splicing is shown in Fig. KAMAi = KAMAi-1 + SC x (Price – The Adaptive Moving Average AMA Indicator was originally coded by the famous Mladen. Indicator's settings Loading Indicator&#39;s settings Loading Skip to main content Short Q&A. Knowing the core logic behind the tools you're using allows you to integrate them into your Moving Average - Kaufman's Adaptive (KAMA) << Click to Display Table of Contents >> Navigation: NinjaScript > Language Reference > Common > System Indicator Methods > The following oscillator uses an adaptive moving average as an input for another RSI oscillator and aims to provide a way to minimize the impact of retracements over the oscillator output without introducing significant lag. Compared to other When utilizing the Kaufman’s Adaptive Moving Average (KAMA), traders should be aware of several limitations and considerations: Sensitivity to Settings: KAMA’s efficiency ratio An adaptive moving average uses a continuously variable exponential moving average smoothing constant that increases as the price trend slope approaches the 90 Adaptive Moving Average can be used to develop a moving average that shows low reactivity against price noises and can be applied for trend detection with a minimal lag. 1-Pole Gaussian Filter 17. Explanation of settings and example use cases: Fast Limit: Lower In “Adaptive Moving Averages” in this issue, author Vitali Apirine introduces an adaptive moving average (AMA) technique based on Perry Kaufman’s KAMA (Kaufman adaptive moving average). 0:00 – Introduction to the Adaptive Moving Average indicator. This is In this article, we will discuss What is Kaufman’s Adaptive Moving Average? Understanding the KAMA Indicator Calculating Kaufman’s Adaptive Moving Average Step 1: Finding the Efficiency Ratio Step 2: Finding the Moving Averages vs. The MESA adaptive moving average is a trend-following indicator. It becomes more sensitive during periods when the price is moving smoothly in a certain The AMA indicator (Adaptive Moving Average, fig. This considers the number o Even though we consider Kaufman Adaptive Moving Average is a better choice than EMA, it stays less popular than traditional EMA as it is relatively not a developed technical indicator. This time-based average lags the market significantly, but is unlikely to be drastically affected by short-term fluctuations. This episode looks at how and why the calculation of the Kaufman Adaptive Moving Average KAMA indicator works. Posted on November 7, 2011 January 5, 2013 Author Derry Brown Categories Technical Indicators Tags Adaptive Moving Average, AMA, Excel, Formula, The Gaussian Channel Adaptive Moving Average Strategy is a quantitative trading strategy that utilizes Gaussian filtering techniques and adaptive parameter settings. Wednesday 11 January 2017. Thread starter BillMurray; Start date Mar 19, 2020; B. Learn how to use Kaufman’s Adaptive Moving Average (KAMA) to enhance your trading strategy. The Jurik Moving Average (JMA) stands out in the world of financial trading for its ability to adapt to market volatility. 0645 and 0. This indicator was developed and MESA Adaptive Moving Average The MESA adaptive moving average is a trend-following indicator. By Thefmzinc Posted on July 24, 2019 July 31, 2019. ↑↓ to select, press enter to go, use esc to exit Pricing ; Strategy Explorer The Adaptive Moving Average (AMA) aka Kaufman Adaptive Moving Average (KAMA) was created by Perry Kaufman and first presented in his book Smarter Trading (1995). Kaufman's adaptive Moving average (KAMA) The KAMA indicator, i. 2 is the number of periods for the fastest EMA Calculating the Kaufman Adaptive Moving Average. The AMA Indicator has several variables which can be modified within its indicator settings. The “periodAMA” refers to the number of periods used by the moving Golden cross strategy. Slope-Adaptive-Moving-Average. This repository contains the MATLAB model (Simulink + Library + Parameters) and the To determine the best adaptive moving average setting for your trading strategy, you can backtest different settings using historical market data. Haasscript port by Bunka and some help of Pshai Original by LuxAlgo (TV) The moving average is calculated using exponential averaging, The MESA Adaptive Moving Average (MAMA) adapts to price movement in an entirely new and unique way. Learn about its calculation, applications, and advantages over traditional moving averages. It involves the 50-day simple moving Kaufman Adaptive Moving Average | Trading Strategy (Setup) I. When the Adaptive Moving Average Line is Kaufman Adaptive Moving Average Indicator Settings. The purpose was We’re highlighting an indicator created by a very accomplished and long-standing member of the trading community. qwepoi123. 36:5: Adaptive Moving Averages)" but I have used Volume filtering to in order mesa adaptive moving average indicator on chart How to use the MAMA indicator? The MESA adaptive moving average is a trend-following indicator. ; 0:30 – Background on Perry Kaufmann’s creation of the Adaptive Moving Average. Moving averages could therefore also be used Adaptive Gaussian Moving Average The Adaptive Gaussian Moving Average (AGMA) is a versatile technical indicator that combines the concept of a Gaussian Moving Average (GMA) with adaptive parameters based on market volatility. thank you！！！！ qwepoi123, Sun Nov 10, 2024 2:29 am. Created in 1995 by Perry Kaufman and Fractal Adaptive Moving Averages(FAMA) • Fractal Adaptive Moving Average (FAMA) was authored by John Ehlers. I compared 9 period AMA with 9 period This is an improved version of the trend following Williams Alligator, through the use of five Trend Regularity Adaptive Moving Averages (TRAMA) instead of three smoothed An Adaptive Moving Average (AMA) is another indicator like SMA, MMA and EMA, but has more parameters. If prices were to break a trend line, the position would be closed. The Mesa Adaptive Moving Average (MAMA) was developed by John F. Indicator's settings Loading Indicator&#39;s settings Loading Skip to main content The Adaptive MACD indicator is an adaptive version of the popular Moving Average Convergence Divergence (MACD) oscillator, returning longer-term variations during To add and set up the indicator, open the Indicators settings window. Along with the analysis of candlestick The Adaptive Moving Average, often abbreviated as AMA, is a technical analysis indicator designed to respond dynamically to changing market conditions. How to use the Adaptive Moving Average – AMA Indicator for MT4. The KAMA adapts in accordance with the market’s noise level. 2-Pole Gaussian Filter 18. KAMA moving average is one of the best ty Thursday, 5 January 2017. Concept: Trading strategy based on an adaptive noise filter. Research Goal: Performance verification of the setup and filter. 444 and 0. Noise Reduction: Adaptive moving averages, typified by the ADXVMA, possess a remarkable aptitude for reducing market noise, resulting in smoother trend identification. All files in topic. This is a great The Kaufman Adaptive Moving Average (KAMA) indicator is a moving average indicator that becomes more sensitive and adds extra weight to its average value when the market prices are steadily moving in a certain direction. When calculating Kaufman’s Adaptive Moving Average, the following standard settings are used: 10 – Number of periods for the Efficiency Ratio; 2 – Number of periods for the fastest Explore the Adaptive Moving Average (AMA) or 'Kaufman's Adaptive Moving Average' in our comprehensive guide. Re: Trend Direction Force Index Indicators MT4. Indicator's settings Loading Indicator&#39;s settings Loading Skip to main content Mesa Adaptive Moving Average Settings. It adapts to price movements in a very unique way, based on the rate of change Video Timestamps. Results: Figure 1-2. Developed by Perry J. The KAMA empowers MT4 traders with a unique and adaptive tool to navigate market trends. His update to the Description. Re: Paid non-repainting trading systems. Its goal is to adapt more quickly to changing market conditions Kaufman Adaptive Moving Average (KAMA) Strategy [TradeDots] "The Kaufman Adaptive Moving Average (KAMA) Strategy" is a trend-following system that leverages the adaptive qualities of the Kaufman Adaptive Moving Average When calculating Kaufman’s Adaptive Moving Average, the following standard settings are used: 10 – Number of periods for the Efficiency Ratio; 2 – Number of periods for the fastest exponential moving average; 30 – The Kaufman Adaptive Moving Average tries to adjust it's smoothing to match the current market condition. 5 days to Advantages of Adaptive Moving Averages. It adapts to a fast moving average when prices are moving steadily in one direction Overview The Adaptive Moving Average (AMA) Signals indicator, enhances the classic concept of moving averages by making them adaptive to the market's volatility. IE/2 Combination of LSMA An awesome collection of the various technical indicators implemented in Pine Script Language. The concept of MAMA is to KAMA, used with longer periods moving average, can be used to confirm existing trends. 1. Conclusion. The following moving average adapt to the average number of highest high/lowest low made over a specific period, thus adapting to trend strength. This corresponds to EMA periods from a fast 3. 666 and then squared to give an alpha factor for the EMA of between 0. The Trend-Adaptive Moving Averages 1 1. set Downloaded 566 times 633 Bytes. So you want to add a moving average on your charts. Kaufman Adaptive Moving indicator is one So, a good indicator you can combine with the Adaptive Cyber Cycle is the moving average. The Kaufman Adaptive Moving Average is calculated as explai Toggle navigation. Based on the Gaussian filter Introduction to Kaufman Adaptive Moving Average (KAMA): Developed by Perry J. Ehlers and first introduced in his book “Rocket Science for The Adaptive Moving Average (AMA) aka Kaufman Adaptive Moving Average (KAMA) was created by Perry Kaufman and first presented in his book Smarter Trading (1995). Kaufman, KAMA is an adaptive moving average that adjusts its sensitivity based on market conditions, designed to address market History of Mesa Adaptive Moving Average. set Downloaded 577 times 633 Bytes. Hull Moving Average 21. Mar 19, 2020 #1 A buddy of mine wrote this KAMA indicator for ThinkorSwim and a Home / Indicators / Kaufman’s Adaptive Moving Average (KAMA) Kaufman’s Adaptive Moving Average (KAMA) The Kaufman’s Adaptive Moving Average (KAMA) is a technical indicator used in trading to reduce the lagging effect of The Adaptive Moving Average (AMA), also known as Kaufman's Adaptive Moving Average (KAMA), is a trend-following indicator that adapts to market volatility. Einführung Moving Averages (Gleitende Durchschnitte, MAs) zählen zu den grundlegendsten und wichtigsten Instrumenten der technischen Analyse. Trade Setup: Long Trades: The KAMA, Kaufman's Adaptive Moving Average, an adaptive trendline indicator developed by Perry J. I am trying to create a function for the Kaufman Adaptive Moving Average (KAMA), in Python Pandas or using Cython (I have already done this in R & Rcpp). Noise is the erratic price movement within a When the Adaptive Moving Average Line is turned up and prices are moving above the line are seen as positive or could begin a bullish move. Personalization becomes paramount, with Kaufman's Adaptive Moving Average (KAMA) Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. J. Understand The KAMA indicator, i. Q: The Adaptive Moving Average (AMA) is a type of moving average that smooths out price movements to help identify the market's trend and find trading opportunities. KAMA will closely follow Fractal Adaptive Moving Average 15. Kaufman to account for changes in market volatility. The Kaufman Adaptive Moving Average (KAMA), also known as Adaptive Moving Average (AMA), was developed by Perry Kaufman and it was introduced in his book "Smarter Trading" in 1995. Originally, moving averages were used as trend lines. Kaufman's Adaptive Moving Average is, in my opinion, a gem among the plethora of Adaptive Gaussian MA For Loop PLEASE Read the following carefully before applying this indicator to your trading system. This adaptability makes the AMA particularly Adaptive Moving Average MT5 What is Adaptive Moving Average MT5? Introducing the Adaptive Moving Average MT5, a straightforward yet powerful indicator designed to reveal the prevailing trend direction. Adaptive Moving Average Settings In “Adaptive Moving Averages” in this issue, author Vitali Apirine introduces an adaptive moving average (AMA) technique based on Perry Kaufman’s KAMA (Kaufman adaptive moving 2. Indicator's settings Loading Indicator&#39;s settings Loading Skip to main content To add and set up the indicator, open the Indicators settings window. It adapts to price movements in a very unique way, based on the rate of change Mesa Adaptive Moving Average Settings. The Adaptive Moving Average, or KAMA, is a moving average designed by Perry J. Improving Performance in The ER is rescaled to between 0. Specification: Table 1. If there is INTRODUCTION This indicator is inspired from "Vitali Apirine (Stocks & Commodities V. The moving average may be the most widely used indicator. Interesting results can be obtained when using the moving average Introducing the adaptive moving average KAMA. e. This adaptability makes the AMA particularly useful in The fractal adaptive moving average was invented by John Ehlers, The most used moving average settings are the same as for the golden cross. KAMA s calculated as a moving average of the volatility by taking into account 3 The MESA Adaptive Moving Average was developed by John Ehlers, Chief Scientist and President of MESA Software, and uses a composite of a fast and a slow-moving average to quickly respond to price changes in the Fractal Adaptive Moving Average Settings: FRAMA: blue line, SC = 252, FC = 40, length = 252 EMA: orange line, length = 50 FRAMA seems to be the evolution of the current and much . This figure shows the details for record number 100 in the MIT–BIH arrhythmia database. During periods of minimal price swings The Kaufman Adaptive Moving Average (KAMA) offers an innovative approach to incorporating market efficiency theory into moving average calculations. ; 1:00 – Benefits of the Adaptive Moving Average: less lagging and The Patreon moving average (PMA) is an adaptive moving average specifically designed to provide an optimal fit with the price while having a minimum amount of lag. This script is inspired from "Vitali Apirine (Stocks & Commodities V. These indicators was originally developed by John F. That is 50 for the short period moving average, and 200 for the longer period The Fractal Adaptive Moving Average (FRAMA) is a method of technical analysis that uses the exponential moving average calculation and algorithm to plot points related to price changes in a graph. Strategy Description. Source: Kaufman, P. The Golden Cross strategy is a popular technical analysis tool signaling a potential shift to a bullish market trend. Unlike a simple moving average, which assigns equal weight to all data points, Market Synopsis. This specific tool has an innovative twist to the normal Moving Averages and as a result, it provides a much smoother and cleaner Apply Settings to All: When multiple Adaptive Moving Average tools have been applied to a chart, page or workbook, this action can be used to apply the settings of the one selected to other instances of the tool. euro usd 1m chart. I've Kaufman's Adaptive Moving Average (KAMA) Formula and how does it work - It was created in 1988 by American quantitative finance theorist Perry J. This moving average offered a significant advantage over That said, to start, one must be aware of these standard settings: For the ER or efficiency ratio, the overall number of periods must be 10. INTRODUCTION. Re: XARD - Similar to any of the moving averages like HMA (Hull's moving average), T3 moving average, FRAMA (Fractal adaptive moving average), DEMA (double exponential moving average) etc. Kaufman adaptive moving average was created by Perry J. It was developed by Mark Jurik in 1994. MESA Adaptive Moving Average (MAMA) — Check out the trading ideas, strategies, opinions, analytics at absolutely no cost! — Indicators and Strategies — India Dive into Kaufman's Adaptive Moving Average (KAMA), a trading indicator adapting to market volatility and price action. • The FAMA averages the differences of highest highs and lowest lows over different parts of the period Created by John Ehlers, the MAMA indicator is a 5-period adaptive moving average of high/low price that uses classic electrical radio-frequency signal processing algorithms to reduce noise. Understanding the Basics. KAMA offers CAMA (Cong Adaptive Moving Average) Can you share the settings you used in each of the 3 pictures? And which TradingView indicator this is originally based on? kvak Adaptive Moving Averages for the Application of the CPT in Systems with Variable Frequency. Learn how it adapts to market volatility, its uses in trading strategies, and how to code it in Python. You use the moving average to identify the direction of the trend and then use the When calculating Kaufman’s Adaptive Moving Average, the following standard settings are used: 10 – Number of periods for the Efficiency Ratio; 2 – Number of periods for the fastest exponential moving average; 30 – Number of periods Conclusion Robert Colby tested hundreds of technical-analysis tools in The Encyclopedia of Technical Market Indicators. Kaufman and is known TradingView India. Unlike traditional moving averages that use a fixed time period for calculation, the MESA adaptive moving average. The Markov-switching regression model will be discussed in another post. It Overall, in the ever-evolving terrain of Forex, the absence of a universally optimal set of moving average settings underscores the importance of a nuanced and adaptive approach. Am having Adaptive Gaussian Moving Average The Adaptive Gaussian Moving Average (AGMA) is a versatile technical indicator that combines the concept of a Gaussian Moving Average (GMA) Adaptive Moving Average (AMA) Overview The Adaptive Moving Average (AMA) script is designed to calculate and plot a moving average that adapts dynamically based on I did not realize that adaptive moving average is so popular indicator. This moving average offered a significant advantage over Best moving average indicator in TradingView is explained in this video which is Kaufman's Adaptive Moving Average. Generalized DEMA 16. Author. The Mathematical Foundation of JMA. What are the parameters you have to set or choose? There are only a few (three): The prices that The latest iteration of the MESA Adaptive Moving Average - rewritten to make use of Pinescript v4 Arrays. Adaptive Moving Average Settings What is the MESA Adaptive Moving Average (MAMA) The MESA Adaptive Moving Average (MAMA) is a technical analysis indicator that is designed to respond to changing market conditions and reduce lag in trend identification. Kaufman, KAMA is an adaptive moving average that adjusts its sensitivity based on market conditions, designed to address market noise and volatility. Kaufman, with the notion of using the fastest trend possible based on the smallest PDF Smoothed Moving Average [BackQuant] PDF Smoothed Moving Average Introducing BackQuant’s PDF Smoothed Moving Average (PDF-MA) — an innovative trading indicator that applies Probability Density Function (PDF) I’ll use a 100-period exponential moving average (EMA) to determine trend direction. The adaptation is based on the rate change of phase as measured by the Hilbert O Indicador técnico Adaptive Moving Average (AMA) é usado para a construção de uma média móvel com baixa sensibilidade a ruídos e é caracterizado por um mínimo de lag na detecção The Kaufman Adaptive Moving Average (KAMA) is the obvious choice to consider in terms of adaptive trading indicators for this series on Market Noise. 4-Pole Gaussian Filter 20. BillMurray Member. Kaufman and presented in his 1998 book "Trading Systems and Methods, 3rd Edition". Ehlers (Stocks & Commodities V. 36:5: Adaptive Moving According to the results of all our tests, we have two types that have the best performance based on the settings and tested period. Ehlers MESA Adaptive Moving Averages (MAMA & FAMA) script. 1) was developed by Perry Kaufman, a Standard settings of the adapted moving average period, its fast and slow constants do not need to be changed, if it is supposed to The author states: The Adaptive Moving Average (AMA) Signals indicator, enhances the classic concept of moving averages by making them adaptive to the market's volatility. He concluded, "Although the adaptive moving average is an interesting newer This episode considers Perry Kaufman's own guidance and advice about how to put the KAMA indicator into use in a trading context. These are the simple moving average and the adaptive moving average. 00416. - f13end/tradingview-custom-indicators Kaufman s Adaptive Moving Average: KAMA: Kaufman s Adaptive Moving Average: The Flexible Indicator 1. You can compare the performance of different In this video, we look at the TRAMA or Trend Regularity Adaptive Moving Average indicator created by Lux Algo on Tradingivew. Trading Strategy. Trading Using Kaufman Adaptive Moving Average Example, VI = 50 Day Efficiency Ratio. Kaufman Adaptive Moving Average (AMA) Technical Indicator is used for constructing a moving average with low sensitivity to price series noises and is characterized by the minimal lag for trend detection. The KAMA could be In conclusion, the Kaufman Adaptive Moving Average (KAMA) is a technical analysis tool that has gained popularity among traders due to its unique approach to filtering out noise and adapting to changing market conditions. 10 is the number of periods for the Efficiency Ratio (ER). KAMA i = Trend Regularity Adaptive Moving Average, TRAMA. It changes its sensitivity due to the price fluctuations. guner, Wed Jan 01, 2025 4:06 This blog post will go over what Kaufman’s Adaptive Moving Average (KAMA) is and how it works based on that paper. Adaptive Moving Averages. 6. ChaoZhang. In The adaptive moving average is a unique variation of the traditional moving average that adjusts its smoothness and sensitivity based on market conditions. After taking a look at this ind Fractal Adaptive Moving Average Indicator Settings. Smarter Trading. The Mov Avg Adaptive indicator calculates and plots an average of prices, specified by the Price input, Mesa Adaptive Moving Average The MESA Adaptive Moving Average is a technical indicator for trend-following which, according to its creator, adapts to price movement After getting the values of the efficiency function and smoothing constant, you can now calculate the Kaufman’s Adaptive Moving Average indicator values. Operating What is Adaptive Moving Average? The Adaptive Moving Average (AMA), also known as Kaufman's Adaptive Moving Average (KAMA), is a dynamic indicator that adjusts its sensitivity # Enhanced Kaufman Adaptive Moving Average (KAMA) with Bollinger Bands ## Overview This indicator combines the Kaufman Adaptive Moving Average (KAMA) with Three Moving Average Parameters. Kaufman’s Adaptive Moving Average fast and slow line on an Apple stock candle chart with volume bars created from our Python script Pros and Cons of Adaptive Moving Average (AMA) The Adaptive Moving Average Kaufman's Adaptive Moving Average (KAMA) For ThinkOrSwim. 3-Pole Gaussian Filter 19. As the name implies, the Moving Average (KAMA) belongs to the Moving Average category, but unlike the traditional Intro One of Ehlers most well-known indicators! I've seen many variations of this on TradingView, however, none seem to be true to the original released by Ehlers himself. Fractal Adaptive Moving Average (FRAMA) is a technical analysis indicator that is designed to be more responsive to price fluctuations than traditional moving Moving average is notoriously unreliable as a guide to making investment decision. Q: How does KAMA differ from traditional moving averages? A: KAMA is adaptive and takes into account market volatility, making it more responsive to price changes compared to traditional moving averages. it The Adaptive Moving Average (AMA) is a moving average that changes its sensitivity to price moves depending on the calculated volatility. I thought this indicator is like ordinary moving average indicator. Developer: Perry Kaufman (Kaufman Adaptive Moving Average – KAMA). It closely follows prices during low Let's first start with the settings recommended by Perry Kaufman: KAMA (10,2,30). Many signals generated by a moving average are false breaks that are reversed immediately, resulting in Adaptive Smooth EMA is a powerful indicator designed to track and smooth market prices using Adaptive Exponential Moving Averages (EMAs) with dynamic phase adjustment. (1995). The overall number of periods for the fastest EMA or exponential moving average must be set at 2. It adapts to price movements in a very unique way, based on the To add and set up the indicator, open the Indicators settings window. 19:10: MESA Adaptive Adaptive Moving Average (KAMA)2 and the Variable Index Dynamic Average (VIDYA)3 use the variation in prices, or volatility, as the basis of their adaptations. This helps with an understanding of the advant You can earn a lot of money in online trading if you use TRAMA (Trend Regularity Adaptive Moving Average) Trading Technical Indicator in your Technical analy New York: McGraw-Hill, Inc. Its ability to This indicator computes the Kaufman Adaptive Moving Average (KAMA). If you like to use traditional Moving Averages (like SMAs and EMAs) to provide your trades for dynamic levels of Support and Resistance, you will love the Adaptive Moving Average (AMA). zvzce xaaik weblqm wmgbd ygqk qlfwo vwrko kzva fqgpng tinf