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Just wanted to give a quick review on Evarvest, a new commission free platform. Although similarities to other platforms – it seems interesting and growing fast.

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There’s a simple playbook for how to trade the Eurozone. Before we get to that, let’s contextualize why using the most recent news out of Europe.

If you’re surprised to see Greek bailouts in the news again, don’t be. It’s been nearly eight years since worries first emerged about Greece. The problem isn’t fixed.

In meetings this past Monday, Eurozone finance ministers came to a new „common understanding“ between Greece and its European creditors. This could unlock the next stage of IMF bailout dollars. Over the next few days, IMF officials will return to Greece to discuss labor market issues, along with pension and tax reforms.

Euro-area equity markets popped on the news Tuesday. That’s why European equities (specifically the German DAX) are overbought today, says Hedgeye CEO Keith McCullough in video above from The Macro Show earlier today.

So if you own some, sell some.

The rationale why is pretty simple. The euro is oversold. There’s a simple relationship that dictates what comes next…

Euro ↑ = European Equities ↓

What’s next? The U.S. economy is growing once again. Meanwhile, the Euro-area economies are anemic and still drudging through Greek bailouts and nationalist election cycle risks. As such, we think the long-term trend is U.S. dollar strength and Euro weakness.

Oddly enough, that’s actually bullish for European equities (a weaker Euro = European stocks up).
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*In this session we will look into strategy used in Handling missing values on the data preprocessing techniques ( Tamil ) using pandas in python .

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In machine learning ( Tamil ) most of the time will be spend on data preprocessing , data mining and feature extraction . Hence please listen to this topic more carefully .

*This is a Data science course ( Tamil ). This is a full fledge course for free and we will cove all the main topics on the machine learning algorithm. This course is specifically designed to address all the queries from beginners to expert . Artificial intelligence ( AI ) is a bigger umbrella ,In that Machine learning ( ML ) and Deep Learning ( DL ) are part of Artificial Intelligence.

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Link to the code:

Viewing Pandas DataFrame, Adding Columns in Pandas, Plotting Two Pandas Columns, Sampling Using Pandas, Rolling mean in Pandas (Smoothing), Subplots, Plotting against Date (numpy.datetime), Filtering DataFrame in Pandas, Simple Joins, and Linear Regression.

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