Mastering online option trading
I'll sell near the money puts right before the earnings event. Next day, after the blow out mastering online option trading, your return on those puts is usually 95 or higher. Buy to close. I've only done that a handful of times.
COBOL applications are very much woven into our daily lives. Its estimated that an average American interacts with a COBOL program 13 times a day Every time we use an ATM, mobile banking, book an airline ticket, access healthcare services, make a purchase online or make an insurance claim, we could be using COBOL applications to process these transactions and most of them are processed on IBM z Systems. This amounts to over 30 billion transactions per day.
There are over 220 billion lines of COBOL in production and about 5 billion lines of new COBOL code are added every year. Although its difficult to 100 percent validate these statistics, Mastering online option trading do have good reasons to believe that they are true because I mastering online option trading for a fact that over 80 percent of IBM z System customers run business-critical COBOL applications and they are major players in the industries serving our everyday lives.
As far as I understand, the payout of a binary is fixed, so it is always the same whether your trades last mastering online option trading or 1000secs, which makes it in some sense time-independent. However, (and this is where Im a bit green still), binaries have a fixed expiry date, so our profits are in some sense bound to the time to expiry and get smaller the closer our trade entry get to it.
On the other hand, the closer we get to expiry, our probability of reaching a certain mastering online option trading price increases as the path divergence from spot to expiry gets smaller.
So, in my naive understanding, the algo you presented above should only work optimal for a given time in the day that is n periods away from expiry.