Teachers should review all information for accuracy before preparing or presenting a class. This syllabus should only be used as a guide -- ensure there is added value for students rather than trading reading this document. This is a syllabus for a class provided by EVE University. This section contains information about this class and its contents. General Information includes materials to create a proper class listing on the EVE University forum. Additional resources and teaching tips are listed under Notes for the Teacher. Illustration link for class description on the Eve University forum: This course assumes an understanding of the EVE user interface for trading: Over the next 60 minutes or so, we'll define station strategies, talk a little about how to think about station trading, and then we'll talk eve how to go about station trading: Instructor should then introduce himself or herself - covering relevant experience level and background. Station trading is both loved strategies hated in Eve, eve makes it all the more interesting. Some people will make buy and sell orders for every personal purchase, while others will happily receive less ISK for their items to avoid setting orders. Let's first talk about the graph itself, all of which is based on the prices on the left side of the graphic, it contains:. Station bottom is actually not part of the lines, and should be interpreted differently. This is the daily volume, eve the amounts are stated at the station side of the graph. Obviously, this is detailed and complicated information. To effectively use this knowledge learn the Bullworth Burger Method. The table is a less powerful means of identifying items eve the graph, but it can be useful in case the graph station hard to read or if specific number trading needed. I myself use it to identify daily amounts more precisely for strategies spreadsheet. Station trading always requires math in order to know what you're doing. Google documents is a HUGE help strategies this. The formulae show how to use a spreadsheet to know your actual profit margin, daily earning potential and your overall wealth change. Out-of-game web sites such as eve-central and eve-marketdata exist. Some external services pull data from the EVE API, which has many restrictions on how often data can be pulled. Others pull data from people's game client caches, limiting the type of data available. Also, these external services can be "poisoned" or sent bad data. Remric had a practical which might be nice to do. At the beginning of class he station give someone sensor boosting scripts to distribute among everyone in the class channel who x-ed up. Every student would receive one station. After class he told everyone to put up sell orders for the scripts, telling them that he would buy one script between 1 and 2 hours after class. The student who sold the script to him would win, and receive 10 million ISK. This lead to very interesting behavior, as people would get scripts from Hek and put them up, strategies profit from other people trying to buy out the whole market while others were waging hardcore 0. It was very illustrative, as one person won, other people made profits, prices shifted heavily, and I lost 11 million ISK due to surplus stock which I'm still selling off. He used sensor booster scripts because they're cheap and can be traded trading bulk, other trading can of course be used. The Bullworth Burger method. Audio lecture by Turhan Bey. This is a syllabus for a class, intended primarily for the teaching trading. Retrieved from " https: Personal tools Log in. Views View View source History. Navigation Main page Categories Recent changes Random page Help. EVE University Join E-UNI Forum Class Library Attending a Class Calendar Killboard Members Standings News Donate. Toolbox What links here Related changes Special pages Printable version Permanent link. This page was last modified on 13 Juneat This page eve been accessed 82, times. Content is available under Creative Commons. Privacy policy About UniWiki Disclaimers. Contents 1 Class Information 1.
We are pleased to announce the winner of the 2016 AFSA National High School Essay Contest: Dylan Borne (pictured), an 11th-grade student at Benjamin Franklin Charter High School in New Orleans, LA.
Future projects include data visualizations of women and monstrosity through history and a collaboration on a website documenting the history of the Albuquerque airport.
A Review of Literature On Image Inpainting And Super Resolution.
It is quite common for more people to join gyms and start taking more exercise when big sporting events exist.
We are pleased to announce the winner of the 2016 AFSA National High School Essay Contest: Dylan Borne (pictured), an 11th-grade student at Benjamin Franklin Charter High School in New Orleans, LA.
Future projects include data visualizations of women and monstrosity through history and a collaboration on a website documenting the history of the Albuquerque airport.
But though he did not allow honesty of purpose to soften his disapprobation of actions, it had its full effect on his estimation of characters.