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Complete Information about Stock Market Analysis

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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Complete Information about Stock Market Analysis

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  1. 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?

  2. Assumptions • The market discounts everything • Prices move in trends • History tends to repeat itself

  3. Type of Charts • Line chart

  4. Type of Charts • Bar Chart

  5. Type of Charts • Volume Bar Chart

  6. Type of Charts • Candlestick Chart

  7. 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.

  8. Types of Trend • Uptrends

  9. Types of Trend • Downtrend

  10. Types of Trend • Sideways Trend

  11. Support and Resistance • Support level is a price level where the price tends to find support as it is going down

  12. Support and Resistance • Resistance Level is a price level where the price tends to find resistance as it is going up

  13. 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

  14. 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

  15. Breakout • The penetration of support and resistance level is called breakout

  16. Trader’s Remorse • Returning to the level of support or resistance after a breakout is called trader’s remorse.

  17. Trader’s Remorse

  18. Resistance <-> Support

  19. 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

  20. 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

  21. 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

  22. Moving Averages

  23. Moving Averages Convergence Divergence • MACD is calculated by subtracting 26 days moving average from moving average of 12 days

  24. Trading using MACD • A 9 day moving average of MACD is plotted along with MACD

  25. 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

  26. Bollinger Bands

  27. Bollinger Bands

  28. Elliot Wave Theory • Elliot stated that stock market moves in repetitive cycles

  29. 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)

  30. 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

  31. Fractal Structure

  32. 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

  33. Fibonacci Retracement Patterns

  34. 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

  35. 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

  36. 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))

  37. Relative Strength Index Relative Strength Index

  38. 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)

  39. 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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