The number of trades depends on your personal goals for the day as well as the number of trading opportunities and your opportunities depend on your trading strategy. If you feel like you have reached your profit target with 1 trade then that is the only trade you should make that day. If you feel like you can make more then you trade more, but don't rush into trades have patience and wait for the right moment to strike.
stock talkrisk is only half the equation. If stock is vlaued according to the cash flows investors expect a company to generate at some point in the future. That's the nuts and bolts of stock trading.To know which stock will trade the highest, you'll have to know where the market as a whole thinks risk is the lowest, but return the highest.But it really isn't that simple. sometimes, the riskiest stocks are those whose prospects for growth are out of this world.The take away here is to think in temrs of valuation, not price.Most people rather buy 100 shares of a $5 stock instead of 5 shares of a $100 stock.If the underlying fundamentals of the $100 stock/company are better, go for the latter.In fact, it may be that the $100 stock is CHEAP -- how can this be, you ask?simple: if the $100 stock/company is expected to grow its earnings 20% year to year but trades at only 10 x future earnings (profits), you may actually have a DISCOUNT on your hands.books I recommend:1. how to make money in stocks - William o'neill2. how to read a financial report - john tracy3. morningstar's guide to successful stock investing4. fire your stock analyst - Henry domash
This is a surprisingly difficult question, partly perhaps because of the ambiguous term 'ordinal'. For instance, horse-race finishes are ordinal--horses usually finish first, second, etc., with no ties; pure order data gives no information about gaps between horses. For such data--the purest form of ordinal data--talk about variability is meaningless. You need data with 'ties' or repeated 'values'--more cases than ordered categories--to talk about variability meaningfully. If you do have repeated values, one option is to fall back and use nominal variability measures--the Index of Qualitative Variation is one; information statistics also work; and there's always the frequency/percentage table. They don't 'measure' concentration along the categoric order, obviously. Disappointingly many websites recommend using the range or interquartile range, presumably calculated by assigning numbers to the ordered categories and subtracting. These indices are very dangerous if you assume only qualitative order among categories. This is obviously flawed--if you don't know how far categories are separated, subtracting numbers is flat invalid. For instance, rank states in the US by size--Alaska is 1, RI is 50--and consider the fact that a group from AK, TX, and CA has a range of 2 and a group from NJ and MA has range of 3 [47 - 44]. First, those numbers are really meaningless; second, they sure misrepresent relations among state size differences. Unless you trust that your 'ordinal' categories are pretty close to equal intervals apart--what we call 'quasi-interval'--you simply cannot use range validly to measure ordinal variability. The same reasoning applies to inter-quartile range. You might as well use variance, since describing 'skew' and 'outliers' for ordinal data is very dangerous, itself. More valid ordinal measures do exist--I cannot recall them. But when you choose an index, take care to examine how it is treating the numbers or other ordering symbols it trades on. Invalidity is rife.
A market maker is a trader who provides liquidity by buying and selling securities, while a market taker is a trader who accepts the prices offered by market makers and executes trades based on those prices.
A market maker is a trader who provides liquidity by offering to buy or sell securities at publicly quoted prices. A market taker, on the other hand, is a trader who accepts the prices offered by market makers and executes trades at those prices.
a sole trader is someone who trades soles
A trader is a merchant or businessperson who trades. Dealer is a synonym of trader.
"The goal of a successful trader is to make the best trades. Money is secondary." – Alexander Elder
Trader, vendor, merchant.
Morgan Stanley executes thousands of trades on behalf of their clients per day, but the exact number can vary depending on market conditions and client activity.
Kinda, he trades bottles of rum and farts
He/ she is a person who trades bunker oil, which is fuel for ship
There is no company by the name of Car Trader. Thus there is no service provided by Car Trader. However, car traders by definition generally trades in cars.
A day trader implies that an investor trades in the market on a daily basis. The investor can be an individual or a broker. Daily trades are within the same stock, meaning that these stocks are bought and sold on the same day.
A day trader is a trader who buys and sells financial instruments (eg stocks, options, futures, derivatives, currencies) within the same trading day such that all positions will usually be closed before the market close of the trading day. - An institutional day trader is a trader who works for a financial institution. - A retail day trader is a trader who works for himself, or in partnership with a few other traders. A retail trader generally trades with his own capital, though he may also trade with other people's money. A proprietary trader ("prop trader") is a trader who trades securities on the account of the institution he/she works for, not for client-based business.