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The goal of technical analysis is to predict the future price of stocks, commodities, futures and other tradable securities based on past prices and performance of those securities.
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Introduction • Analysis of statistics generated by market activity such as past price and volume to come up with reasonable outcome in future using charts as a primary tool. • Should I take a long position? Should I take a short position? What is going to be the price tomorrow, next week or next year?
Assumptions • The market discounts everything • Prices move in trends • History tends to repeat itself
Type of Charts • Line chart
Type of Charts • Bar Chart
Type of Charts • Volume Bar Chart
Type of Charts • Candlestick Chart
Trends • The meaning of trend in finance isn't all that different from the general definition of the term - a trend is really nothing more than the general direction. • A trend represents a consistent change in prices (i.e. a change in investor’s expectations) • A trendline is a simple charting technique that adds a line to a chart to represent the trend in the market or a stock.
Types of Trend • Uptrends
Types of Trend • Downtrend
Types of Trend • Sideways Trend
Support and Resistance • Support level is a price level where the price tends to find support as it is going down
Support and Resistance • Resistance Level is a price level where the price tends to find resistance as it is going up
Importance of Support and Resistance • Support and resistance analysis is an important part of trends because it can be used to make trading decisions and identify when a trend is reversing
Aware: Support and Resistance levels • Support and Resistance levels are highly volatile • Traders should not buy and sell directly at these points as there may be breakout also
Breakout • The penetration of support and resistance level is called breakout
Trader’s Remorse • Returning to the level of support or resistance after a breakout is called trader’s remorse.
Indicators • A mathematical tool that can be applied on security’s price giving a result that can be used to anticipate trends, volatility and price • Indicators are used in two main ways: to confirm price movement and to form buy and sell signals
Types of Indicator • Lagging • This indicator simply tells you what prices are doing, they don’t warn you of upcoming changes • Leading • This indicators attempt to make investment calls on securities prior to actual price confirmation
Moving Averages • A simple moving average is calculated by taking average of most recent closing prices of n time period • Exponential Moving average applies weighting factors which decrease exponentially
Moving Averages Convergence Divergence • MACD is calculated by subtracting 26 days moving average from moving average of 12 days
Trading using MACD • A 9 day moving average of MACD is plotted along with MACD
Bollinger Bands • Bollinger bands are the envelopes plotted at standard deviations above and below the moving average • Bollinger Bands can be used to measure the highness or lowness of the price relative to previous trades
Elliot Wave Theory • Elliot stated that stock market moves in repetitive cycles
Impulse and Corrective Patterns • The impulse pattern consists of five waves, the five waves can be in either direction, up or down • Corrective patterns can be grouped into two different categories: • Simple Correction( Zig-Zag ) • Complex correction (Flat, Irregular, Triangle)
Fractal Structure • The structures Elliott described meet the common definition of a fractal ( self-similar patterns appearing at every degree of trend) • Elliott Wave patterns that show up on long term charts are identical to, and will also show up on short term charts
Fibonacci Retracement Patterns • Stocks often pull back or retrace a percentage of the previous move before reversing • Retracement percentages follow a Fibonacci ratio pattern, the key Fibonacci ratios are 23.6, 38.2, 50, 61.8
Linear Regression Lines • When prices are below the Linear Regression Line, this could be viewed as a good time to buy, and when prices are above the Linear Regression Line, a trader might sell
Linear Regression Channel • A Linear Regression trendline shows where equilibrium exists but Linear Regression Channels show the range prices can be expected to deviate from a trendline
Relative Strength Index • It compares the magnitude of recent gains to recent losses in an attempt to determine overbought and oversold conditions of an asset RSI= 100- 100/ (1+RS) RS=EMA[U]/EMA[D] EMA- exponential moving average U= Sig (close (today)-close (yesterday)) D= Sig(close(yesterday)-close(today))
Relative Strength Index Relative Strength Index
Stochastic Oscillator • Compares where a security’s price closed relative to its price range over a given time period Fast oscillator Slow oscillator %D = SMA(%K, N)
Stochastic Oscillator • Buy when the Oscillator (either %K or %D) falls below a specific level (e.g., 20) and then rises above that level. Sell when the Oscillator rises above a specific level (e.g., 80) and then falls below that level; • Buy when the %K line rises above the %D line and sell when the %K line falls below the %D line
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