Bitcoin
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BTC falls and stays under 6k for 2018?

Updated
In my view 2018 is somewhat similar to 2014: dump after hype.
2days charts presented. Left is BTC-2014, right it BTC-2018. Purple vertical-line on the left is where I think we are.

Using simple_CCI , Bollinger Bands (which is basically moving average +- standard deviations) and simple_SMI, I think BTC might be now at the point in 2018, where it was at July, 2014.

My loose and biased prediction says that if BTC stays bellow 8.7k for couple more days, than it might go down as low as 6k, and it might stay below 6k for a year. (Yes, it I say that it might stay there for a year: 12mos+-3mos)
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This is NOT a trading advise, just a biased idea of a non-pro-trader, but a stat-fun. Calculate risk, use stops, avoid FOMO, don't risk more than you can afford to lose, and...have fun!
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Publishing this idea, because it feels unlikely, but seems to me this way. I might be super-wrong here, so I am happy to be contradicted, but please use numbers/reasoning, tell me where I am wrong here.
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My followers deserve an update...Correction speeded up as BTC crossed 400ALMA, so I had thought, I had to update my tactics. Somewhat risky, but these are my levels.
s3.amazonaws.com/tradingview/snapshots/p/PGrFikh1.png

Again: this is NOT a trading advise, just a biased idea of a non-pro. Calculate risk, use stops, avoid FOMO, don't risk more than you can afford to lose, learn about ARIMA, reinforced learning and...have fun!
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Update: based on my biased predictive models, BTC might go under 2.1k for a very short time. So my entry point is set to 2099.
s3.amazonaws.com/tradingview/snapshots/l/lt3z4sRt.png

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This is NOT a trading advise, just my biased ideas...Use stop-sell, always calculate risk and try to avoid FOMO and learn about time-series models
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The fall is harsher, than I expected, so I might be buying in between 2.2k-2.8k. (Based on Volume Weighted Moving average 4800-12h and ALMA3200-12h)

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This is NOT a trading advise, just my biased idea...Use stop-sell, always calculate risk and try to avoid FOMO and learn about time-series models and ARIMA.
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