A good understanding of the basic tenets of technical analysis can vastly improve one's trading skills.

Moving Averages

One of the most basic and widely used indicators in a technical analyst's tool box, moving averages help traders verify existing trends, identify emerging trends, and view overextended trends about to reverse. Moving averages are lines overlaid on a chart indicating long term price trends with short term fluctuations smoothed out.

A simple moving average gives equal weight to each price point over the specified period. The user defines whether the high, low, or close is used and these price points are added together and averaged. This average price point is then added to the existing string and a line is formed. With the addition of each new price point the sample set drops off the oldest point. The simple moving average is probably the most widely used moving average.

A weighted moving average gives more emphasis to the latest data. A weighted moving average multiplies each data point by a weighting factor which differs from day to day. These figures are added and divided by the sum of the weighting factors. A weighted moving average allows the user to successfully smooth out a curve while having the average more responsive to current price changes.

An exponential moving average is another way of "weighting" the more recent data. An exponential moving average multiplies a percentage of the most recent price by the previous period's average price. Defining the optimum moving average for a particular currency pair involves "curve fitting". Curve fitting is the process of selecting the right number of periods with the correct type of moving average to produce the results the user is trying to achieve. By trial and error, technicians work with the time periods to fit the price data.

Stochastics

Stochastic studies, or oscillators, are another useful tool for monitoring the expected sustainability of a trend. They provide a trader with information about the closing price in the current trading period relative to the prior performance of the instrument being analyzed.

Relative Strength Index (RSI)

RSI measures the momentum of price movements. It is also plotted on a scale ranging from 0 to 100. Traders will tend to look at RSI readings over 80 as an indicator of a market that is overbought or susceptible to a downturn, and readings under 20 as a market that is oversold or ready to turn higher.

Bollinger Bands

Bollinger Bands are volatility curves used to identify extreme highs or lows in relation to price. Bollinger Bands establish trading parameters, or bands, based on the moving average of a particular instrument and a set number of standard deviations around this moving average.

MACD - Moving Average Convergence Divergence

MACD is a more detailed method of using moving averages to find trading signals from price charts. Developed by Gerald Appel, the MACD plots the difference between a 26-day exponential moving average and a 12-day exponential moving average. A 9-day moving average is generally used as a trigger line, meaning when the MACD crosses below this trigger it is a bearish signal and when it crosses above it, it's a bullish signal.