Stock prices using candlesticks
"No it does not.  Candlesticks really have nothing to do with this, a stock price can open different then the previous day's close. Examining the chart of TSLA provides an example it closed on 1/18 at 238.8 it opened on 1/19 at 243.7 In candlestick parlance is is known as a ""gap up""."
"Wouldn't this be part of your investing strategy to know what price is considered a ""good"" price for the stock?  If you are going to invest in company ABC, shouldn't you have some idea of whether the stock price of $30, $60, or $100 is the bargain price you want?  I'd consider this part of the due diligence if you are picking individual stocks.  Mutual funds can be a bit different in automatically doing fractional shares and not quite as easy to analyze as a company's financials in a sense. I'm more concerned with the fact that you don't seem to have a good idea of what the price is that you are willing to buy the stock so that you take advantage of the volatility of the market. ETFs would be similar to mutual funds in some ways though I'd probably consider the question that may be worth considering here is how much do you want to optimize the price you pay versus adding $x to your position each time.  I'd probably consider estimating a ballpark and then setting the limit price somewhere within that.  I wouldn't necessarily set it to the maximum price you'd be willing to pay unless you are trying to ride a ""hot"" ETF using some kind of momentum strategy.  The downside of a momentum strategy is that it can take a while to work out the kinks and I don't use one though I do remember a columnist from MSN Money that did that kind of trading regularly." "The correlation I heard most about in economics/finance was that stock prices and bond yields were negatively correlated; as the stock market does better, bond yields fall (company's doing well as evidenced by stocks, so it's a good credit risk, so YTM of its bonds on the market goes down). The correlation, if any, between the stock and futures market should be visible in the actual price histories. Index prices may be useful, but what's more likely is that various future prices have correlation with various companies' stocks. Where the future reflects the price of a raw material that is a significant cost of goods sold for a company, you'll see these two move inversely to each other in the short term. I think that if there is a causative relationship here, its that futures prices influence stock prices, not the other way around. The futures market generally represents the cost side of a consumer goods producer's bottom line. The stock market represents its profits. As futures go up, profit expectations go down, putting pressure on stock prices. Industries that deal in services, or in other types of goods, can still be affected because a rise in the cost of something consumers need will cause them to spend less on other things which affects margins in those other areas. So, in the short and medium term, when the futures market goes up the stock market sees a dip, and vice versa.  However, companies adapt; they can put upward pressure on prices for their goods to restore their desired margins, usually by slowly increasing them to prevent sticker shock (though elasticity of demand plays a part; the more we need something no matter what it costs, the faster prices can increase). To maintain costs, they can make things cheaper using less expensive materials (more plastic, less steel). They can restructure production processes (translated: move factories offshore, or at least to ""right-to-work"" states with less union strength) to save costs elsewhere. All of these reduce costs and thus increase profits, but take time to implement. Many of these things reduce direct costs, reducing demand for the commodity and causing the futures prices to go back down. So, over the long term, these differences even out, and it's down to the things that affect the entire market (inflation, consumer/investor confidence, monetary policy)." "Yes there is, it is called a One-Cancels-the-Other Order (OCO). Investopedia defines a OCO order as: Definition of 'One-Cancels-the-Other Order - OCO' A pair of orders stipulating that if one order is executed, then the   other order is automatically canceled. A one-cancels-the-other order   (OCO) combines a stop order with a limit order on an automated trading   platform. When either the stop or limit level is reached and the order   executed, the other order will be automatically canceled. Seasoned   traders use OCO orders to mitigate risk. I use CMC Markets in Australia, and they allow free conditional and OCO orders either when initially placing a buy order or after already buying a stock. See the Place New Order box below:  Once you have selected a stock to buy, the number of shares you want to buy and at what price you can place up to 3 conditional orders. The first condition is a ""Place order if..."" conditional order. Here you can place a condition that your buy order will only be placed onto the market if that condition is met first.  Say the stock last traded at $9.80 and you only want to place your order the next day if the stock price moves above the current resistance at $10.00. So you would Place order if Price is at or above $10.00. So if the next day the price moves up to $10 or above your order will be placed onto the market. The next two conditional orders form part of the OCO Orders. The second condition is a ""Stop loss"" conditional order. Here you place the price you want to sell at if the price drops to or past your stop loss price. It will only be placed on to the market if your buy order gets traded. So if you wanted to place your stop loss at $9.00, you would type in 9.00 in the box after ""If at or below ?"" and select if you want a limit or market order. The third condition is a ""Take profit"" conditional order. This allows you to take profits if the stock reaches a certain price. Say you wanted to take profits at 30%, that is if the price reached $13.00. So you would type in 13.00 in the box after ""If at or above ?"" and again select if you want a limit or market order. Once you have bought the stock if the stop order gets triggered then the take profit order gets cancelled automatically. If on the other hand the take profit order gets triggered then the stop loss order gets cancelled automatically. These OCO conditional orders can be placed either at the time you enter your buy order or after you have already bought the stock, and they can be edited or deleted at any time. The broker you use may have a different process for entering conditional and OCO orders such as these." "I am strongly skeptical of this.  In fact, after reading your question, I did the following: I wrote a little program in python that ""simulates"" a stock by flipping a coin. Each time the coin comes up heads, the stock's value grows by 1. Each time the coin comes up tails, the stock's value drops by 1.  I then group, say, 50 of these steps into a ""day"", and for each day I look at opening, closing, maximum and minimum. This is then graphed in a candlestick chart.  Funny enough, those things look exactly like the charts analysts look at. Here are a few examples:    If you want to be a troll, show these to a technical analyst and ask them which of these stocks you should sell short and which of them you should buy. You can try this at home, I posted the code here and it only needs Python with a few extra packages (Numpy and Pylab, should both be in the SciPy package). In reply to a comment from JoeTaxpayer, let me add some more theory to this. My code actually performs a one-dimensional random walk. Now Joe in the comments says that an infinite number of flips should approach the zero line, but that is not exactly correct. In fact, there is a high chance to end up far from the zero line, because the expected distance from the start for a random walk with N steps is sqrt(N).  What does indeed approach the zero line is if you took a bunch of these random walks and then performed the average over those. There is, however, one important aspect in which this random walk differs from the stock market: The random walk can go down as far as it likes, whereas a stock has a bottom below which it cannot fall. Reaching this bottom means the company is bankrupt and gets removed from the market. This means that the total stock market, which we might interpret as a sum of random walks, does indeed have a bias towards upwards movement, since I'm only averaging over those random walks that don't go below a certain threshold. But you can really only benefit from this effect by being broadly diversified." Nothing is guaranteed - candlesticks are not crystal balls nor is any part of technical analysis. Candlestick patterns used correctly and in combination with other western technical indicators can increase the probability of a trade going into the derived direction, but they are not a guarantee - which is why you should always use stop losses with your candlestick or any trading. In saying that, another candlestick pattern that can provide high probability trades is the Doji, or a combination of Dojis in a row at a market extreme. Note that both Engulfing patterns and Dojis work best at price extremes (highs and lows) and in combination with other technical indicators such as an overbought momentum indicator at a market high, or an oversold momentum indicator at a market low. EDIT - An Example Here is a sample trade I placed on the 17th October and am currently 15.6% in profit on. See the chart below as it shows taking the trade on the open of the following day after a bullish engulfing pattern appeared at the bottom of a downtrend on the 16th in combination with the Slow Stochastic crossing over in the oversold region (below 20%). I would consider this a high probability trade and have placed an initial stop loss at 10% below my open price in case the trade went against me. As the price moved up I moved the 10% stop loss up as a trailing stop loss. My profit target is set at 25% or $4.00. http://www.euroinvestor.com/exchanges/nasdaq/macromedia-inc/41408/history will work as DumbCoder states, but didn't contain LEHMQ (Lehman Brother's holding company). You can use Yahoo for companies that have declared bankruptcy, such as Lehman Brothers: http://finance.yahoo.com/q/hp?s=LEHMQ&a=08&b=01&c=2008&d=08&e=30&f=2008&g=d but you have to know the symbol of the holding company. Edit3: Regarding the usefulness of the bare number itself, it is not useful unless, for example, an employer uses that average in the computation of how many options the employer grants to the employee as part of the compensation paid. One of my employers used just such an average. What is far more common is to use two or more moving averages, of different periods, plotted on a chart.  My original response continues below... Assuming there are 252 trading days a year, the following chart does what you have done but with a moving average: AAPL on Stockcharts.com  Edit: BTW, I looked up the number of Federal holidays, there are 9. The average year has 365.2422 days. 365.2422 × 5/7 = 260.8873. Subtract 9 and you get 251.8873 trading days in the average year. So 252 is a better number for the SMA than 250 if you want to average a year.  Edit2: Here is the same chart with more than one average included: AAPL chart w/indicators Robert Shiller published US Stock Market data from 1871.  Ken French also has historical data on his website.  Damodaran has a bunch of historical data, here is some historical S&P data.