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از ساعت 7 صبح تا 10 شب
ویرایش: 1
نویسندگان: Wiley
سری:
ISBN (شابک) : 1119543517, 9781119543510
ناشر: Wiley
سال نشر: 2019
تعداد صفحات: 841
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 49 مگابایت
در صورت تبدیل فایل کتاب CMT Level II 2019: The Theory and Analysis of Technical Analysis به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب CMT Level II 2019: Theory and Analysis of Technical Analysis نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Explain the six basic tenets of Dow Theory Diagram the three phases of bull and bear markets Differentiate between primary, secondary, and minor trends Examine a chart for support and resistance Demonstrate the use of trendlines in identifying trends, support and resistance, and channels Interpret trend signals using trendlines Compare different types of gaps and their significance Contrast various continuation patterns and reversal patterns Draw examples of various top formations and bottom formations Apply price objectives to various chart pattern and trend breakouts Interpret candlestick formations for signals Contrast various types of moving averages used in trend analysis Illustrate four ways moving averages are used by technicians Analyze trend movement using Directional Movement Indicators Compare common envelope, channel, and band indicators Examine methods for forecasting price direction Calculate a simple approach to momentum Inventory various weighting methods for moving averages Explain the drop-off effect and its impact on technical indicators Explain three reasons why trend systems work Determine appropriate asset selections based on trend and forecast Generalize how buy and sell signals are used with indicators and tools for measuring trend, such as: Moving Averages, Bollinger Bands, Keltner Channels, Percentage Bands, Volatility Bands, and combinations of bands and other indicators Describe how to apply the 10-day moving average rule in a trading system Explain how a trader or investor would go about selecting the right moving average to use Explain the role of each moving average in a two-trend or three-trend method of trading Describe two general rules for generating an exit signal when using moving averages, and explain which one of the two is considered better than the other Differentiate between momentum and rate of change studies in technical analysis Distinguish among various calculations of momentum Demonstrate use of momentum for trend indication and associated signals Demonstrate use of momentum for finding price extremes and associated signals Illustrate the use of MACD to generate trading signals Compare various oscillators and their trading signals including RSI, stochastics and TRIX Use standard interpretation of volume and open interest in the context of price trends in stocks and futures Compare various volume indicators such as On-Balance Volume, Accumulation Distribution and VWAP Analyze changes in breadth in the context of price trends Interpret breadth indicators such as the McClellan Oscillator Interpret indicators that combine breadth with volume such as Arms Index and Thrust Oscillator Critique the controversy over whether tradeable patterns exist in technical analysis Appraise the influence that computer technology has had on the study of patterns Diagram classic chart patterns such as triangles, and double and triple tops and bottoms Draw rounding chart patterns such as head-and-shoulders Illustrate “half-mast” chart patterns such as flags and pennants Analyze reversals in longer-term trends using short-term price patterns Interpret the significance of various types of gaps that occur on price charts Compare and analyze wide-range and narrow-range bars and their implications for volatility Diagram one and two-bar reversal patterns Draw common candlestick patterns and analyze their significance within a trend Interpret market psychology from candle shapes Diagram and interpret notable individual candles such as hammer, hanging man and doji Explain the importance of such candles in the context of trends Differentiate between the buying and selling activity represented by real bodies and shadows in these candles Diagram and interpret notable patterns formed by multiple candles such as engulfing, stars, and windows Demonstrate the importance of the prevailing trend when interpreting candle patterns Differentiate between the buying and selling activity represented by real bodies and shadows in these candle patterns Interpret candle patterns for support and resistance Analyze candle patterns on charts for indications of trend reversal and continuation Interpret candle patterns for support and resistance indications and confirmation Illustrate how to combine Western chart analysis with candles Employ candlestick analysis for risk management Demonstrate using candles in multiple time frames 14 Applied Cycle Analysis Calculate single-day implied volatility Analyze how put-call parity and options supply and demand affect VIX Interpret VIX as an indication of market sentiment Interpret changes in VIX as part of a market forecast Calculate expected 30-day movement of an index or a stock Compare utility theory and prospect theory Describe loss aversion Describe the single greatest limitation of prospect theory Describe each of the four perception biases covered in this chapter Illustrate how each of these biases might affect investor behavior Describe each of the three inertial effects covered in this chapter Illustrate how each of these might affect investor behavior Compare Pearson’s and Spearman’s methods Describe the importance of linearity and normality to useful correlation studies Analyze the effect of outliers on a regression study Interpret values generated by regression, multiple regression and tolerance calculations Review the process of selecting meaningful predictor variables for multiple regression studies Analyze the concept behind the ARIMA method Describe the ARIMA process Employ the results of the ARIMA forecast to generate trading signals Demonstrate use of linear regression to generate trading signals Illustrate the use of linear regression for relative strength studies Explain the basic concepts of intermarket analysis Interpret the rotation of stocks, bonds and commodities in the typical business cycle Describe methods of determining intermarket relationships Illustrate the importance of measuring correlation for portfolio diversification and asset selection Illustrate a general approach to a momentum strategy using relative strength Analyze the use of hedging and non-correlated assets in a long-only relative strength model Define an environmental model Contrast internal and external indicators Sketch the basic components of Davis’ Fab Five model Categorize each of the four indicators in Zweig’s original model as internal or external Categorize the additional indicator in the modified version as internal or external, trend following or mean reversion Differentiate between alpha and beta Compare the Efficient Market Hypothesis with general concepts in behavioral finance and with the Adaptive Markets Hypothesis 33 The Statistics of Backtesting Appraise the possibilities and challenges of applying the scientific method to traditional technical analysis Analyze the three forms of the EMH as to their information content Explain “null hypothesis” as used in the scientific method State the five stages of the hypothetico-deductive method Critique the three consequences, articulated in this chapter, of adopting the scientific method in technical analysis Analyze why the existence of nonrandom price motion is a premise of technical analysis Describe an “efficient market” Discuss behavioral finance as a theory of nonrandom price motion Illustrate the two foundations of behavioral finance Interpret feedback loops in price action Describe data mining and data-mining bias in testing trading rules Define and discuss data-snooping bias in testing trading rules