Forecasting

The pair briefly rallied above 1.1800 but now is back under that level. I think it remains very bullish though, so I have little doubt it will continue climbing.

EUR/USD rallied all the way to 1.1910 before pulling back and starting a correction. Next target will probably be at 1.1785, I think.

EUR/USD dropped to 1.1775 and remains quite bullish after the double top it formed at 1.1900, I think the move south will continue developing and it may depreciate below 1.1750.

The Euro looks to have broken higher against the US Dollar but lower against the British Pound, trends that will likely continue in the days ahead.

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https://redot.com/

Originally Posted by TheNews

The Euro looks to have broken higher against the US Dollar but lower against the British Pound, trends that will likely continue in the days ahead. Prefer to deal with Redot at the moment.

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It so unstable now on the market. Brexit, quantitative easing bring only uncertainty

Oil prices continue to rise as fundamental factors weigh on supply. Rising channel continues to hold bulls at bay

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All trading in the forex market is based on forecasting. I personally relate to traders who spend most of their time forecasting currency pairs.

Analysts warn that after a recent meme-stock rally, Bed Bath & Beyond’s valuation has become further “disconnected” from reality. Anyway, the daily price broker 200 SMA for the primary bullish reversal with resistance psy level at 30.00 to be tested for the primary daily bullish trend to be continuing.

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Perceptron is a machine learning technique that can be used to predict market prices. It is a useful tool for traders and investors striving to get a price forecast.

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In the realm of machine learning, more often than not we think in terms of trade offs. While optimising one metric of performance, we often compromise another performance metric. With the growing evolutionary trend of increasingly larger and more intricate models, understanding, explaining and debugging them become formidable tasks. The intricacies beneath the model's surface, deciphering 'why' our models are making the decisions they are making is vital. Without this clarity how can we confidently believe we can supervise this model to our desired ends? We can't risk the model functioning in unintended ways,rendering our efforts futile!

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