Look Who it Was Random video

📐 Technical Analysis: Candlestick Chart Online Trading, technical analysis tools and techniques

839 views · Published 29 September 2018 · 8:32 · Indexed 27 October 2026

Channel: BO Turbo Trader · 2018 · Education

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Indicators: 
EMA 3     (blue)
EMA 20   (yellow)
EMA 50   (orange)
EMA 100 (red)
EMA 200 (purple)

Bollinger Band Period 20 Deviation 2 (green)
Bollinger Band Period 20 Deviation 1 (white)

This module is going to build on what you learned in Module 3: How to Read a Stock Chart, and will cover ABC formations, MACD, Stochastics, Commodity Channel IndexI, Woodies CCI, Bollinger Bands, Relative Strength Index, Fibonacci Retracements & Expansions, and how to combine and back-test technical indicators. Technical Analysis is the forecasting of future financial price movements based on an examination of past price movements.

The moving average convergence-divergence (MACD) is one of the most powerful and well-known indicators in technical analysis. The indicator is comprised of two exponential moving averages that help measure momentum in a security. Traders can think of it as the 'derivative' of price-based moving averages. Tools that mediate physical actions: for example, pens, pencils, scissors, computers. Technical tools are needed to produce psychological tools such as written texts, diagrams, and maps.

Even if there are only 5 gains (losses), the total of those 5 gains (losses) is divided by the total number of RSI periods in the calculation (14 in this case). The Average Loss is computed in a similar manner. Calculation of the First RS value is straightforward: divide the Average Gain by the Average Loss. The moving average (MA) is a simple technical analysis tool that smooths out price data by creating a constantly updated average price. There are advantages to using a moving average in your trading, as well as options on what type of moving average to use.

Technical analysis employs models and trading rules based on price and volume transformations, such as the relative strength index, moving averages, regressions, inter-market and intra-market price correlations, business cycles, stock market cycles or, classically, through recognition of chart patterns. 


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