Boosting Returns – New Twists to Time-Tested Trading Techniques by Tom Gentile
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Boosting Returns – New Twists to Time-Tested Trading Techniques by Tom Gentile
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Product Description
Finding new twists to proven trading techniques can boost trading profits – in bull or bearish markets. Tom Gentile’s comprehensive workshop, with online support manual, presents powerful new methods for increasing returns and protecting your portfolio by simply modifying some of the most common and respected trading concepts.
Gentile highlights the benefits of using a systematic approach to stock selection over discretionary methods used by the “average” trader – whose choices are influenced by news and emotions, rather than sound strategy. He clearly outlines several proven methods for picking stocks – then shows how adding options to these methods lets you boost returns, limit risk, and profit from the directional move.
Gentile provides plenty more twists to time-tested techniques – and reveals:
– The steps he personally takes to analyze individual stocks
– Which to trade – stocks or indexes?
– How to determine the market direction
– How to pick the right time frame
– How to use the VIX volatility index to spot the next big move
– How to use spread trades to trim the cost of a trade
Don’t be one of those “average” traders who rarely see consistent profits because emotions get in the way. Learn to match Tom’s bold new moves to time-tested portfolio protection techniques – and be poised to prosper in every market climate.
Technical Analysis Day trading
How to understand about technical analysis: Learn about technical analysis
In finance, technical analysis is an analysis methodology for forecasting the direction of prices through the study of past market data, primarily price and volume.
Behavioral economics and quantitative analysis use many of the same tools of technical analysis, which,
being an aspect of active management, stands in contradiction to much of modern portfolio theory.
The efficacy of both technical and fundamental analysis is disputed by the efficient-market hypothesis, which states that stock market prices are essentially unpredictable.
