Potential pitfalls of this volume trading strategy
"First challenge: Creating a system which can understand written English well enough to read the news. Nothing short of IBM's Watson has proven very good at extracting meaning from unstructured text. Second challenge: By the time it reaches ""the news"", the big actors already know and have responded. Third challenge: It's not uncommon for a stock to drop on good news, or rise on bad, because the price had previously adjusted to an expectation of even better/worse news and is now correcting itself. Basic principle: It it was simple and obvious, everyone would already be doing it." People are trying ideas like this, actually.  Though they generally aren't very public about it.  While keshlam ventures into hyperbole when mentioning Watson, he is certainly correct human language parsing is a extremely hard problem. While it is not always true that the big players will know before the news (sometimes that would qualify as insider trading).  The volume spike that you mention generally comes as the news arrives to the major (and minor) players.  So, if you have an algorithm run after the volume spike the price will likely have adjusted significantly already. You can try to avoid this by constantly scanning for news on a set of stocks however this becomes an even harder problem.  Or maybe by becoming more specific and parsing known important and specific news sources (farm report for instance) and trying to do so faster than anyone else.  These are some methods people use to not be too late. I wouldn't be turned off due to the difficult of parsing English, for a few reasons. Firstly, you don't have to perfectly parse to find meaning.  You can look for keywords and write some algorithms to approximate, and of course if you get enough of a statistical advantage (and can repeat it) you can make money. Second, it probably isn't long before third-party software is made available either to do something like this or to provide a framework for it.  In fact, it probably already is available somewhere.  (Note the influx of Silicon Valley types to New York as more machine intelligence is applied to trading and journalism.) Thirdly, as hinted by the mention above of journalism, there's already software using numerical data to write pretty human articles.  Some are pretty robotic and you can catch them (I noticed one and searched for a key phrase to discover several very much like it, each having a different fake author name).  This will mean not only a continued improvement of parsing but also more push for more data to be released in machine-readable formats, such that press releases will be increasingly parsible. Finally, to vindicate your idea, the keyword approach has been done with some success.  Try this link and note the additional links on the same topic. If you have the time and processing resources, you might like to try your idea by training a neural network to find correlations of keywords (and phrases -- that's important, too) with trends in the market.
"Assuming you are referring to macro corrections and crashes (as opposed to technical crashes like the ""flash crash"") -- It is certainly possible to sell stocks during a market drop -- by definition, the market is dropping not only because there are a larger number of sellers, but more importantly because there are a large number of transactions that are driving prices down. In fact, volumes are strongly correlated with volatility, so volumes are actually higher when the market is going down dramatically -- you can verify this on Yahoo or Google Finance (pick a liquid stock like SPY and look at 2008 vs recent years). That doesn't say anything about the kind of selling that occurs though. With respect to your question ""Whats the best strategy for selling stocks during a drop?"", it really depends on your objective. You can generally always sell at some price. That price will be worse during market crashes. Beyond the obvious fact that prices are declining, spreads in the market will be wider due to heightened volatility. Many people are forced to sell during crashes due to external and / or psychological pressures -- and sometimes selling is the right thing to do -- but the best strategy for long-term investors is often to just hold on." How I understand it is: supply/demand affect price of stock   negatively/positively, respectively. Correct. Volume is the amount of buying/selling activity in these stocks (more   volume = more fluctuation, right?). Sort of.  Higher volume means higher liquidity.  That is, a stock that is traded more is easier to trade.  It doesn't necessarily mean more fluctuation and in the real world, it often means that these are well-understood stocks with a high amount of analyst coverage.  This tends towards these stocks not being as volatile as smaller stocks with less liquidity. Company revenue (and profit) will help an investor predict company   growth. That is one factor in a stock price.  There are certain stocks that you would buy without them making a profit because their future revenue looks potentially explosive.  However, these stocks are very risky and are bubble-prone. If you're starting out in the share market, it's generally a good idea to invest in index funds (I am not a broker, my advice should not be taken as financial advice).  These funds aggregate risk by holding a lot of different companies.  Also, statistics have shown that over time, buying and holding index funds long term tends to dramatically outperform other investment strategies, particularly for people with low amounts of capital. The study of technical analysis is generally used (sometimes successfully) to time the markets. There are many aspects to technical analysis, but the simplest form is to look for uptrends and downtrends in the charts.  Generally higher highs and higher lows is considered an uptrend.  And lower lows and lower highs is considered a downtrend.  A trend follower would go with the trend, for example see a dip to the trend-line and buy on the rebound. A simple strategy for this is shown in the chart below:  I would be buying this stock when the price hits or gets very close to the trendline and then it bounces back above it. I would then have sold this stock once it has broken through below the trendline. This may also be an appropriate time if you were looking to short this stock. Other indicators could also be used in combination for additional confirmation of what is happening to the price. Another type of trader is called a bottom fisher. A bottom fisher would wait until a break above the downtrend line (second chart) and buy after confirmation of a higher high and possibly a higher low (as this could be the start of a new uptrend). There are many more strategies dealing with the study of technical analysis, and if you are interested you would need to find and learn about ones that suit your investment styles, whether you prefer short term trading or longer term investing, and your appetite for risk. You can develop strategies using various indicators and then paper trade or backtest these strategies. You can also manually backtest a strategy in most charting packages. You can go back in time on the chart so that the right side of the chart shows a date in the past (say one year ago or 10 years ago), then you can click forward one day at a time (or one week at a time if using weekly charts). With your indicators on the chart you can do virtual trades to buy or sell whenever a signal is given as you move forward in time. This way you may be able to check years of data in a day to see if your strategy works. Whatever you do, you need to document your strategies in writing in a written trading or investment plan together with a risk management strategy. You should always follow the rules in your written plan to avoid you making decisions based on emotions. By backtesting or paper trading your strategies it will give you confidence that they will work over the long term.  There is a lot of work involved at the start, but once you have developed a documented strategy that has been thoroughly backtested, it will take you minimal time to successfully manage your investments. In my shorter term trading (positions held from a couple of days to a few weeks) I spend about half an hour per night to manage my trades and am up about 50% over the last 7 months. For my longer term investing (positions held from months to years) I spend about an hour per week and have been averaging over 25% over the last 4 years. Technical Analysis does work for those who have a documented plan, have approached it in a systematic way and use risk management to protect their existing and future capital. Most people who say that is doesn't work either have not used it themselves or have used it ad-hock without putting in the initial time and work to develop a documented and systematic approach to their trading or investing. I think if you are only trading stocks with average volume greater than 1M you should not have any trouble entering a 10,000 size trade. If you are you can try a couple of things: Change your order from a market order to a limit order, however this may potentially reduce the number of shares that are actually traded on that day, and you may miss out on some or all of your order. Limit your trading to more liquid stocks, say average daily volumes above 10M or 100M. Apart from that you might have to just put up with some extra slippage and incorporate it into your trading plan. That is you can reduce your R multiple to allow some slippage. Yes, one such strategy is dividend arbitrage using stock and in the money options. You have to find out which option is the most mispriced before the ex-dividend date. Support and resistance only works as a self-fulfilling prophecy. If everyone trading that stock agrees there's a resistance at so-and-so level, and it is on such-and-such scale, then they will trade accordingly and there will really be a support or resistance. So while you can identify them at any time scale (although as a rule the time scale on which you observed them should be similar to the time scale on which you intend to use them), it's no matter unless that's what all the other traders are thinking as well. Especially if there are multiple possible S/P levels for different time scales, there will be no consensus, and the whole system will break down as one cohort ruins the other group's S/P by not playing along and vice versa. But often fundamentals are expected to dominate in the long run, so if you are thinking of trades longer than a year, support and resistance will likely become meaningless regardless. It's not like that many people can hold the same idea for that long anyhow. You've asked for risks but neglected straight up costs. CD laddering will have some explicit and implicit costs: You talk about an individual not being advised to sell (or purchase) in response to trends in the market in such a buy and hold strategy. But think of this for a moment: You buy stock ABC for $10 when both the market as a whole and stock ABC are near the bottom of a bear market as say part of a value buying strategy. You've now held stock ABC for a number of years and it is performing well hitting $50. There is all good news about stock ABC, profit increases year after year in double digits. Would you consider selling this stock just because it has increased 400%. It could start falling in a general market crash or it could keep going up to $100 or more. Maybe a better strategy to sell ABC would be to place a trailing stop of say 20% on the highest price reached by the stock. So if ABC falls, say in a general market correction, by less than 20% off its high and then rebounds and goes higher - you keep it. If ABC however falls by more than 20% off its high you automatically sell it with your stop loss order. You may give 20% back to the market if the market or the stock crashes, but if the stock continues going up you benefit from more upside in the price. Take AAPL as an example, if you bought AAPL in March 2009, after the GFC, for about $100, would you have sold it in December 2011 when it hit $400. If you did you would have left money on the table. If instead you placed a trailing stop loss on AAPL of 20% you would have been still in it when it hit its high of $702 in September 2012. You would have finally been stopped out in November 2012 for around the $560 mark, and made an extra $160 per share. And if your thinking, how about if I decided to sell AAPL at $700, well I don't think many would have picked $700 as the high in hindsight. The main benefit of using stop losses is that it takes your emotions out of your trading, especially your exits.