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Strona o R, finansach, giełdzie, handlu i ekonomii.zacznij tradować za pomocą najlepszego dostępnego oprogramowania, za darmo.
rnagpw.blogspot.com
R na gpw: Analiza SFK Polkap
http://rnagpw.blogspot.com/2016/04/analiza-sfk-polkap_4.html
Pokonaj rynek z najważniejszymi umiejętnościami i R. Poniedziałek, 4 kwietnia 2016. Analiza spółki SFK Polkap S.A. Liczba akcji w obrocie :. Średni obrót z ostatnich 20 dni:. 31 663,41 zł. Intuicyjnie, wydaje się, że w dzisiejszych czasach mało kto chodzi w kapeluszach, ale tendencje rynkowe wydają się być odwrotne. Jednym z czynników wzrostu jest moda na drogie kapelusze retro. Jednakże niejednolity charakter rynku, powoduje że w ofercie powinna się znaleźć szeroka gama produktów. Spółka upatruje jako s...
R na gpw: grudnia 2015
http://rnagpw.blogspot.com/2015_12_01_archive.html
Pokonaj rynek z najważniejszymi umiejętnościami i R. Wtorek, 29 grudnia 2015. Analiza szeregów czasowych jest bardzo przydatna w handlu na giełdzie. W uproszczeniu są to modele, w których chcemy przewidzieć zmienną zależną, za pomocą jednej zmiennej niezależnej - czasu. W R mamy klasy "TS", XTS do analizy lub inne klasy w pakietach, takich jak fseries, quantmod i timeseries. Jak łatwo zauważyć, jest to temat podobny do postu: Trend jest twoim przyjacielem. GetSymbols (' WIG20 ")class(WIG20). Bardzo ważne...
R na gpw: Analiza szeregów czasowych
http://rnagpw.blogspot.com/2015/12/analiza-szeregow-czasowych.html
Pokonaj rynek z najważniejszymi umiejętnościami i R. Wtorek, 29 grudnia 2015. Analiza szeregów czasowych jest bardzo przydatna w handlu na giełdzie. W uproszczeniu są to modele, w których chcemy przewidzieć zmienną zależną, za pomocą jednej zmiennej niezależnej - czasu. W R mamy klasy "TS", XTS do analizy lub inne klasy w pakietach, takich jak fseries, quantmod i timeseries. Jak łatwo zauważyć, jest to temat podobny do postu: Trend jest twoim przyjacielem. GetSymbols (' WIG20 ")class(WIG20). Bardzo ważne...
R na gpw: listopada 2015
http://rnagpw.blogspot.com/2015_11_01_archive.html
Pokonaj rynek z najważniejszymi umiejętnościami i R. Niedziela, 15 listopada 2015. Statystyka matematyczna jest stosowana w celu wnioskowania na podstawie mniejszych zbiorów (prób), stworzonych z wszystkich przypadków jakie wystąpiły(populacji). Jeżeli potrzebujemy przeanalizować, jak zmieniła się rentowność wszystkich przedsiębiorstw notowanych na giełdzie, to możemy to zrobić na podstawie np. 20 spółek wylosowanych z populacji, czyli wszystkich spółek notowanych na giełdzie. Twierdzenie matematyczne mó...
R na gpw: Sezonowość i Prognozowanie.
http://rnagpw.blogspot.com/2016/08/sezonowosc-i-prognozowanie.html
Pokonaj rynek z najważniejszymi umiejętnościami i R. Sobota, 6 sierpnia 2016. W tym poście przypomnę wam mój wcześniejszy post. Pokazane zostaną inne metody badania sezonowości danych. Na początku porównajmy dekompozycję tygodniową szeregu czasowego z aktualnymi danymi:. Prices = kgh[,5]. Data = as.Date(kgh[,1]). Ts =xts(prices, data). Wts= ts(ts, start = c(1997,7), end = c(2016,8), frequency = 52). Modeldek = decompose(w.ts). Lines(w.ts, col ="red"). Czarna kreska to prognoza modelu. Do prognozy szeregó...
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probability concept - you R pit
http://yourpit.blogspot.com/2015/10/probability-concept.html
You R pit: probability concept. Beat the market, with essential skills, and R. Monday, October 26, 2015. I am going to describe some concepts associated with probability theory. This very important when we want to manage risk. We have couple types of events :. Exhaustive events (containing all possible outcomes). The probability of rolling a dice, and get any number from 1 to 6 is 1/6. And probability of getting odds is 1- (1/6). P(AB) = P(A B)xP(B). P(A or B) = P(A) P(B) - P(AB). What is probability of ...
March 2016 - you R pit
http://yourpit.blogspot.com/2016_03_01_archive.html
You R pit: March 2016. Beat the market, with essential skills, and R. Tuesday, March 15, 2016. In this post i would like to know your opinion about new tool, I am about to launch in nearby future. I have created a new sub, called "fundamental data.". One of the first companies which i uploaded there is "KGHM". I would like to know how you like the site where the files are located. And if you prefers to change something in the data. This order was settled especially for analysis in R environment. In this ...
September 2015 - you R pit
http://yourpit.blogspot.com/2015_09_01_archive.html
You R pit: September 2015. Beat the market, with essential skills, and R. Wednesday, September 30, 2015. Technical analysis in R. IT has been written. Texts describing each indicators,. I want to show. Xspko = xts(pko[,-1],order.by=as.POSIXct(pko$Date). ChartSeries(xspko, type = "candlesticks", subset = '2014: 2015-10', theme = chartTheme('white'). Period of time,. ChartSeries(xspko, type = "candlesticks", subset = '2013: 2015-10', theme =. ChartTheme('white'), log.scale = TRUE, name = 'PKO'). We know th...
Mathematical Statistics - you R pit
http://yourpit.blogspot.com/2015/12/mathematical-statistics-is-used-to.html
You R pit: Mathematical Statistics. Beat the market, with essential skills, and R. Sunday, December 20, 2015. Basically from all the cases. The population). If you need. On the stock exchange. We can do it on. On the stock exchange. Is a random variable. So it has a. The context of the. Since the distribution of. The normal distribution is. The standard error of the mean sample:. If we know the population standard deviation, the standard error has a value:. Bs = (u 1/2) / (n-1/2). N - sample size. You mu...
Fundamental - you R pit
http://yourpit.blogspot.com/2016/03/fundamental.html
You R pit: Fundamental. Beat the market, with essential skills, and R. Tuesday, March 15, 2016. In this post i would like to know your opinion about new tool, I am about to launch in nearby future. I have created a new sub, called "fundamental data.". One of the first companies which i uploaded there is "KGHM". I would like to know how you like the site where the files are located. And if you prefers to change something in the data. This order was settled especially for analysis in R environment. In this...
CAPM table - you R pit
http://yourpit.blogspot.com/2016/02/capm-table.html
You R pit: CAPM table. Beat the market, with essential skills, and R. Wednesday, February 10, 2016. You to pay attention to. A certain function in R. I like to use at the end of my analyses. This is CAPM table. I would like. The biggest polish grocery retail company. Data = as.Date(eur[,1]). Data1 = as.Date(wig[,1]). Eurts = xts(eur[,5], data). Wigts = xts(wig[,5], data1). Ts = merge(eur.ts,wig.ts). Ts = na.locf(ts). Ts$change.eur = (ROC(ts[,1],1). Ts$change.wig = (ROC(ts[,2],1). Ts = ts[-1:-3100,].
July 2015 - you R pit
http://yourpit.blogspot.com/2015_07_01_archive.html
You R pit: July 2015. Beat the market, with essential skills, and R. Monday, July 27, 2015. Today we will talk about basic operations on data. We can pretty easy get it into R by using command read.csv, or read.table. But if the file is not in the direction on which we had set our R session. In advance we should use command setwd(), or describe whole path in name. For example:. Readcsv("file.csv", sep = ","). Readcsv("C:/ FORR/session#3/file.csv", sep = ","). Readcsv("file.csv", sep = ","). Wig20$directi...
December 2015 - you R pit
http://yourpit.blogspot.com/2015_12_01_archive.html
You R pit: December 2015. Beat the market, with essential skills, and R. Tuesday, December 29, 2015. Analysis of time series objects. Is very useful in. On the stock exchange. As you can see. GetSymbols (' WIG20 ")class(WIG20). Result:[1] "XTS", "zoo". Data in the format. Of the information contained. Allows you to adjust. A tool to predict. To correct interpretation, time series should be consistent with these principles:. Events should be studied in the same units. It turns out that. Prices = kgh[,5].
Trend is your Friend #1 - you R pit
http://yourpit.blogspot.com/2015/08/trend-is-your-friend-1.html
You R pit: Trend is your Friend #1. Beat the market, with essential skills, and R. Sunday, August 9, 2015. Trend is your Friend #1. A market trend is when a price of a stock or other security is moving for a while in some direction. It can be upwards, or downward. We have two. Is characterized by a. Meaning that interference they will. Smoothing is a one way of curve fitting, instead of this, we have interpolation. So, what we can do in R? We got different methods of smoothing. Plot(kgh, type = "l").
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Ng Lee Family 小豬欄日誌. 生於香港、 移居温哥華、 嫁去三藩市. 理想有一子一女. 終於, 在金豬年一年抱兩, 生了龍鳳胎. 既驚且喜. 在此筆錄與囡囡仔仔的逸事. Monday, May 30, 2011. Day at Monterey Bay Aquarium. It's long weekend in USA. Daddy suggested us to go to aquarium yesterday since our last year membership is about to be expired. We thought Karissa would vomit in the car again like the last 2 times. Luckily, she fell asleep during our 2 hour drive to aquarium and no vomit. How nice. Http:/ www.slide.com/r/CNetrB930z-2sfrykSWmNf9hl5Kl3PN? More video from aquarium.
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R na gpw
Pokonaj rynek z najważniejszymi umiejętnościami i R. Sobota, 6 sierpnia 2016. W tym poście przypomnę wam mój wcześniejszy post. Pokazane zostaną inne metody badania sezonowości danych. Na początku porównajmy dekompozycję tygodniową szeregu czasowego z aktualnymi danymi:. Prices = kgh[,5]. Data = as.Date(kgh[,1]). Ts =xts(prices, data). Wts= ts(ts, start = c(1997,7), end = c(2016,8), frequency = 52). Modeldek = decompose(w.ts). Lines(w.ts, col ="red"). Czarna kreska to prognoza modelu. Do prognozy szeregó...
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