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Ema stock analysis11/6/2023 ![]() rename ( columns = ]]) lastn = 1000 ldf = tdf fig. Like EMA of different periods.īefore diving into the coding part, lets read our data.ĭf. Lagging indicators give the information that has happened and might continue to do so. Leading indicators give some kind of predictions about the price rise or trend by using short term moving averages (like EMA of period 12 in MACD (Moving Average Convergence Divergence)). ![]() The indicators are often viewed in the terms of leading and lagging. Technical indicators in stock markets are categorized in many ways and some of the most common are:Īll above 4 are used to either predict or alert us about the future of the stock. Please refer to the interactive version of this blog if you want to see the interactive plots.ĭisclaimer: This blog is for educational purpose only and we do not recommend taking the knowledge gained from this blog to implement in real financial exercises. In this blog, we will explore some of popular metrics that are used in the stock markets which are based on Moving Averages. These simple metrics are used under the hood to make some assumptions in the stock markets. Until now we were looking only into the trend over the time and trend over the period of time. In the last part, we explored different types of moving averages like Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA) and explored other moving metrics like Moving Median and Moving Variance. Hello and welcome back everyone to our second part of the new blog series Python for Stock Market Analysis. Python for Stock Market Analysis: Exploring Technical Trend Indicators
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