Broadly speaking, and as more fully discussed below, algorithmic trading in the equities and to a lesser extent—in the debt market, has improved many measures of market quality and liquidity provision during normal market conditions, though studies have also shown that some types of algorithmic trading may exacerbate periods of unusual market stress or volatility. Advances in technology and communications have enabled many market participants to more efficiently provide liquidity, more efficiently access market liquidity, implement new trading services, and more effectively manage risk across a range of
markets.
Today, algorithms address many of the problems and decisions that have long been central to the business of trading. What instrument(s) should be invested in or traded? What price should be bid or offered? What order size is optimal? What should be the response to a request for a quotation? What risk will be taken on by facilitating a trade? How does that risk change with the size of the trade? Is the risk of a trade appropriate to a firm’s available capital? What is the relationship between the price of different but related securities or financial products? To what market should an order be sent? Is it more effective to provide liquidity or demand liquidity? Should an order be displayed or non-displayed? To which broker should an order be sent? When should an order be submitted to a trading center?
Your signup process is really frustrating. First, your About you should give me an indication of how many characters have been completed and how many are left. Second, your Captcha is asking for the X month of the year. Most people I know dont say September (when typing at least), instead just say Sep. There is no visual clue or early warning before you bounce me 4 times. Frustrating.
All the large tech companies (Public) made the first 100+ employees "rich" by getting them to work for them. "Rich" compared to their peers who did not work at these companies early on. "Wealthy", now that's completely different. You will find that of the 1201 (Mar 2011) billionaires, only 28 worked for someone else.
I use my calendar as a to-do list. Works for me. Block out time to do tasks - not just meetings. That way it forces me to bucket time for stuff to get done.
The end goal is to be more productive and to ship something. Given most software development is hidden from the end user, most times its immaterial what its written on.
The challenge is switch off completely takes a few days and I can rarely do it in a few hours. So for a few hours of downtime, the best hack I found is to talk to other folks about something totally different. On a recent trip I had no phone, no computer etc. and felt totally relaxed after the 3rd day.
If you are at the idea stage, do you actually build every one of our ideas out? Is it possible to test ideas without having to build every one of them?
Take a look at Smart Brief. They do this for social media and a few other verticals. There's value in human curation, but more value in creation I believe.
1. Base pay - (Assuming funded, and in the bay area) - $150 - $180 K is average, but I have seen lower
2. Stock (ESOP) - 4 year vesting, 1 year cliff, monthly after that, between 3-7% (Depending on your fit to the role).
3. Accelerated vesting if they get purchased (if you can get it)
4. Accelerated vesting if there is change of control (If you get bought, founders leave and you have to slave at the new company, under a new manager) - again if you can get it.
5. Option to sell at follow on rounds, up to a certain (likely 10 - 30%)of your vested stock.
If that rule is law, then what are the fines that Carta faces if it does not adhere to that rule.