The Japanese using technical analysis and some early versions of candlesticks to trade rice in the 17th century. Much of the credit for candlestick development and charting goes to a legendary rice trader named Homma from the town of Sakata, Japan. While these early versions of technical analysis and candlestick charts were different from today's version, many of the guiding principles are very similar. Candlestick charting, as we know it today, first appeared sometime after 1850. It is likely that Homma's original ideas were modified and refined over many years of trading, eventually resulting in the system of candlestick charting that we now use. In order to create a candlestick chart, you must have a data set that contains: opening price highest price in the chosen time frame lowest price in the period closing price values for each time period you want to display The time frame can be daily, 1 hour, 5 minutes, or any other period ...
Think about two different companies that have the exact same stock price. Now, let's consider the same option on those two stocks, an option with the same strike prices and same expiration date. Now, why would the price of one option for a company be so different from the option on the other? The answer: Implied volatility. We will looking at how implied volatility affects options prices and how option prices can impact your choice of strategy. Market volatility -> The VIX What is implied volatility and how is it calculated and why is it important? The relationship between stock prices and implied volatility. When stock prices are expected to make a big move up or down, investors typically purchase more options. For example, suppose the market has been falling for a few days. This might cause investors to become more protective of their stock positions. As a result, these investors might buy more put options as a form of protection. This increase in demand suggests there's ...
Price action Technical indicators Candlesticks and chart patterns Another point to remember is that in the market right now, over 60% of the volume is algorithmic high frequency trading. That means you are trading against computers. The majority of changes in stocks that you are seeing simply the result of computers moving shares around. Trade Management and Position Sizing It is important to understand order entry, exit, position sizing and trade management. Two traders enter into a trade based on one strategy. The positions go their way and then pull back a bit. The first trader fears losing their gain and takes a quick, small profit. The second trader adds to the position on the pull back and books a large gain. Same idea, different outcomes, all as the result of two different mindsets and trade management styles. Managing trades is the key to success. Trade management is referring to what you do with the position after you've entered it and be...
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