What is the best strategy for after hours trading?
First you will need a plan stating three main points: You will have to decide what criteria you will use to answer these points. You might use Fundamental Analysis to find what to buy and Technical Analysis to decide when to buy and when to sell (your buy and sell triggers). Once you have a Trading Plan in place you would need to find a broker with conditional orders. You can place conditional buy orders to get in a trade (for example if the price moves above or below a target price). You can place conditional stop loss orders if your trade goes against you, and you can also place conditional profit target stops to automatically get out if rises to your desired profit target. You can place one, two or many conditional orders after hours which will enable you to trade without being in front of your screen all day long. I would never trade after hours and I have 30 years of trading experience.  It is a very volatile emotion driven market without a lot of the big players that arbitrage wrong pricing.   If I were you I would simply use limit orders you input while the market is closed.   If you want to get kute you can put in low-ball offers (and vice versa) to see if they get filled in the volatility at market open.  Then check in (when?) when you wake up (or before you go to bed, etc) and revise the limit if not filled.   In other words don't 'trade'.  Know what your company is worth and put in orders that reflect that.
Buying stocks is like an auction. Put in the price you want to pay and see if someone is willing to sell at that price.  Thing to remember about after hours trading; There is a lot less supply so there's always a larger bid/ask price spread. That's the price brokers charge to handle the stocks they broker over and above the fee.  That means you will always pay more after the market closes. Unless it is bad news, but I don't think you want to buy when that happens. I think a lot of the after market trading is to manipulate the market. Traders drive up the price overnight with small purchases then sell their large holdings when the market opens. A lot of people here talk about shorting stocks, buying options, and messing around with leveraged ETFs. While these are excellent tools, that offer novel opportunities for the sophisticated investor, Don't mess around with these until you have been in the game for a few years. Even if you can make money consistently right out of the gate, don't do it. Why? Making money isn't your challenge, NOT LOSING money is your challenge. It's hard to measure the scope of the risk you are assuming with these strategies, much less manage it when things head south. So even if you've gotten lucky enough to have figured  out how to make money, you surely haven't learned out how to hold on to it. I am certain that every beginner still hasn't figured out how to comprehend risk and manage losing positions. It's one of those things you only figure out after dealing with it. Stocks (with little to no margin) are a great place to learn how to lose because your risk of losing everything is drastically lower than with the aforementioned tools of the sophisticated investor. Despite what others may say you can make out really well just trading stocks.  That being said, one of my favorite beginner strategies is buying stocks that dip for reasons that don't fundamentally affect the company's ability to make money in the mid term (2 quarters).  Wallstreet loves these plays because it shakes out amateur investors (release bad news, push the stock down shorting it or selling your position, amateurs sell, which you buy at a discount to the 'fair price'.) A good example is Netflix back in 2007. There was a lawsuit because netflix was throttling movie deliveries to high traffic consumers. The stock dropped a good chunk overnight.  A more recent example is petrobras after their huge bond sale and subsequent corruption scandal. A lot of people questioned Petrobras' long-term ability to maintain sufficient liquidity to pay back the loans, but the cashflow and long term projections are more than solid. A year later the stock was pushed further down because a lot of amateur Brazilians invest in Petrobras and they sold while the stock was artificially depressed due to a string of corruption scandals and poor, though temporary, economic conditions. One of my favorite plays back in 2008-2011 was First Solar on the run-up to earnings calls. Analysts would always come out of these meetings downgrading the stock and the forums were full of pikers and pumpers claiming heavy put positions. The stock would go down considerably, but would always pop around earnings. I've made huge returns on this move. Those were the good ole days. Start off just googling financial news and blogs and look for lawsuits and/or scandals. Manufacturing defects or recalls. Starting looking for companies that react predictably to certain events. Plot those events on your chart. If you don't know how to back-test events, learn it.  Google Finance had a tool for that back in the day that was rudimentary but helpful for those starting out. Eventually though, moreso than learning any particular strategy, you should learn these three skills: 1) Tooling: to gather, manipulate, and visualize data on your own.  These days automated trading also seems to be ever more important, even for the small fish. 2) Analytical Thinking learn to spot patterns of the three types:  event based (lawsuits, arbitrage, earnings etc), technical (emas, price action, sup/res), or business-oriented (accounting, strategy, marketing). Don't just listen to what someone else says you should do at any particular moment, critical thinking is essential. 3) Emotions and Attitude: learn how to comprehend risk and manage your trigger finger. Your emotions are like a blade that you must sharpen every day if you want to stay in the game. Disclaimer: I stopped using this strategy in 2011, and moved to a pure technical trading regime. I've been out totally out of the game since 2015. Coolness - It's not only a matter of staying calm when being up or down. You must keep yourself from chasing a stock that appears to be running away. Or from betting all your money that something(like say a crash) will happen tomorrow because that would be great for you. Use your head not your heart. Empathy - You need to understand what other speculators, investors, institutions and algorithms are going to do when there is a new development or technical signal. And why. For publicly traded corporations, fundamentals and technical indicators only have the value that people(and their algorithms) choose to assign to them at that particular moment. And every stock has a different population trading it. There is no rule of thumb. Patience - To trade successfully, you must avoid trading at all costs. Heh. If you can't find any good trade to do, don't open positions in order to meet your targets, buy a new smartphone, or to fight boredom. Diligence - If your strategy relies on tight stops, don't make exceptions. If your strategy relies on position sizing, don't close when you are a few points down. Luck - In the end almost every trade can turn against you very badly. You must prepare for the worst and hope for the best. You can't buy luck, or get luckier, but you can attempt to stack probabilities: diversify, buy options to insure your positions, reduce holding time, avoid known volatility events, etc. Yes, exactly. VaR is just a single tailed confidence interval.  To go from model to strategy, you need to design some kind of indicator (i.e. when to buy and when to short or stay out). In practice, this will look like a large matrix with values ranging from -1 to 1 (corresponding to shorting and holding respectively) for each security and each day (or hour, or minute, or tick, etc.), which you then just multiply with the matrix of the stock returns. The resulting matrix will be your daily returns for each stock, you can then just row sum for daily returns of a portfolio, or calculate a cumulative product for cumulative returns.  A simple example of an indicator would be something like a value of 1 when the price of the stock is below the 30 day moving average, and 0 otherwise. You can use a battery of econometric models to design these indicators, but the rest of the strategy design is essentially the same, and it's *relatively* easy to build a one-size-fits-all back-testing code.  I'll try to edit this post later and link a blog that goes through some of the code.  Edit: [Here](http://www.signalplot.com/simple-machine-learning-model-trade-spy/) is a post that discusses implementing a simple ML strategy. You can ignore most of the content but if you go through the github, you'll see how the ML model is implemented as a strategy.  An even easier example can be found from [the github connected to this post](http://www.signalplot.com/how-to-measure-the-performance-of-a-trading-strategy/), where the author is just using a totally arbitrary signal. As you can see, deriving a signal can be a ton of work, but once you have, actually simulating the strategy can be done in just a few lines of code.  Hopefully the author won't mind me linking his page here, but I find his coding style to be very clean and good for educational purposes. I don't call myself a daytrader.  My ideal timeframe is from a few days to a couple weeks, sometimes even longer.  So swings will always be my priority, but I do daytrade futures/forex outside of regular hours and equities when I'm not doing a swing.  Platform is really only important when you realize what you need from it.  If you're doing plenty of tickets, commissions will play a larger role the more you trade.  Some brokers are more bare-bones, some have more technology/tools.  If you're just learning, you typically don't want to put on extra expenses, but as you start making money, you'll want to go with a broker that minimizes your costs while using a third party for whatever tools you need. Short selling can be a good strategy to hedge, but you have almost unlimited downside.  If a stock price skyrockets, you may be forced to cover your short by the brokerage before you want to or put up more capital. A smarter strategy to hedge, that limits your potential downside is to buy puts if you think the market is going down.  Your downside is limited to the total amount that you purchased the put for and no more. Another way to hedge is to SELL calls that are covered because you own the shares the calls refer to.  You might do this if you thought your stock was going to go down but you didn't want to sell your shares right now.  That way the only downside if the price goes up is you give up your shares at a predetermined price and you miss out on the upside, but your downside is now diminished by the premium you were paid for the option. (You'd still lose money if the shares went down since you still own them, but you got paid the option premium so that helps offset that). Well, kind of XD. I usually just look through Business Week for the ADRs that are on the OTC market. I don't do anything major, but why I love them is that they have a greater reach than just ADRs on the NYSE or NASDAQ. Like for instance, if I wanted to own Thai or European stocks, many of the larger, more reputable firms are listed on the OTC market. Having said that, most other sites don't have earnings reports laid out for you. Business Week does. The only fancy thing I am interested in are options and options on futures, and Bar Chart is good for the latter. "A huge amount of money in all financial markets is from institutional investors, such as mutual funds, government pension plans, sovereign wealth funds, etc.  For various reasons these funds do all of their trading at the end of the day.  They care primarily that their end-of-day balances are in line with their targets and are easy to audit and far less about ""timing the market"" for the best possible trades. So, if you're looking at a stock that is owned by many institutional investors -- such as a stock (like AAPL) that makes up a significant portion of an index that many funds track -- there will be a huge amount of activity at this time relative to stocks that are less popular among institutions. Even just in its introduction this paper (PDF) gives a fair overview of other reasons why there's a lot of trading at end-of-day in general. (In fact, because of all this closing activity and the reliance on end-of-day prices as signposts for financial calculations, the end-of-day has for decades been the single most fraud-ridden time of the trading day.  Electronic trading has done away with a lot of the straight-up thievery that floor traders and brokers used to get away with at the expense of the public, but it still exists.  See, for example, any explanation of the term banging the close, or the penalties against 6 banks just last month for manipulating the FX market at the close.)"