Models on Bitcoin (BTC) future behavior see the coin as following a path of appreciation over the years, potentially suggesting that future prices would follow the same trend. But new research suggests the “corridor of growth” may be an exercise in retrofitting, and not of prediction.
PlanB Model Breaks Down on Real Price Analysis
The natural growth channel model, proposed by Harold Christopher Burger, fits BTC price growth into a directed, price-limited chart of growth, based on a regression of prices. The model falsification arrives a few weeks after in-depth analysis also debunked the stock-to-flow narrative.
However, this model only uses past data – and it may not hold true in the future. In fact, the model does not even work completely for past data, reveals the analysis of BurgerCrypto.com. However, the “corridor of growth” model has been rather influential in anticipating constant bitcoin growth, despite fluctuations.
The search for models arrives at a time when bitcoin is once again seeking direction, with predictions for 2020 ranging from another all-time high, to a return to a lower tier. The channel of growth is also suggesting hopes of BTC prices at $50,000 or even $100,000.
BurgerCrypto.com does not make a direct price prediction, but only notes that the model under discussion is not a good fit for price movements. In the case of bitcoin, price discovery has varied over the years, and has been fueled by different factors. The pressures that lifted the price from a few cents to $1 in the earliest trading were not the same as the speculation during the Mt. Gox era.
Bitcoin Price Discovery Changes Constantly
Bitcoin has moved down toward the end of 2019, with slim expectations of a December rally. BTC has habitually gained in December in the past few years, though moves in the opposite direction are also a possibility.
The leading coin traded at $7,247.46 on Monday, breaking down from a hike above $7,400 over the weekend. At this point, price factors for BTC include the overall world economy pace, as well as US stock performance and political stability.
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