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Peer-reviewed paper by Murray A. Rudd and Dennis Porter in the Journal of Risk and Financial Management, using a #supply-#demand model to #predict Bitcoin prices, projecting a potential $1 million value by early 2027 if withdrawal rates hit historic lows.
https://www.mdpi.com/1911-8074/18/2/66
Artigo revisado por pares por Murray A. Rudd e Dennis Porter no Journal of Risk and Financial Management, usando um modelo de oferta e demanda para prever os preços do Bitcoin, projetando um valor potencial de US$ 1 milhão até o início de 2027 se as taxas de retirada atingirem mínimas históricas.
PS.
- Historicamente, inicio de 2027 é inicio da zona de acumulação após bear (baixa) em 2026.
- Contudo, desde do pos-halving (20/04/2024) vários indicadores estão sendo quebrados, podemos ter cenários diferentes.
- Por isso, sempre, faça o seu #DCA semanal ou mensal fixo e quando houver promoções acima de -15% do ultimo #ATH, #BuyTheDip sem stress com o foco de 5-10-50 anos.
⚡️ @TutorialBTC
https://www.mdpi.com/1911-8074/18/2/66
Artigo revisado por pares por Murray A. Rudd e Dennis Porter no Journal of Risk and Financial Management, usando um modelo de oferta e demanda para prever os preços do Bitcoin, projetando um valor potencial de US$ 1 milhão até o início de 2027 se as taxas de retirada atingirem mínimas históricas.
PS.
- Historicamente, inicio de 2027 é inicio da zona de acumulação após bear (baixa) em 2026.
- Contudo, desde do pos-halving (20/04/2024) vários indicadores estão sendo quebrados, podemos ter cenários diferentes.
- Por isso, sempre, faça o seu #DCA semanal ou mensal fixo e quando houver promoções acima de -15% do ultimo #ATH, #BuyTheDip sem stress com o foco de 5-10-50 anos.
⚡️ @TutorialBTC
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Dynamic Inventory Optimization with Censored Demand
#Article #Data_Science #Bayesian_Learning #Deep_Dives #Demand_Forecasting #Reinforcement_Learning #Supply_Chain_Analytics
via Towards Data Science
#Article #Data_Science #Bayesian_Learning #Deep_Dives #Demand_Forecasting #Reinforcement_Learning #Supply_Chain_Analytics
via Towards Data Science
Towards Data Science
Dynamic Inventory Optimization with Censored Demand
A sequential decision framework with Bayesian learning
Axel 💎🙌 Adler Jr
BTC #volatility according to the 30-day Price #High & #Low metric has compressed to a 2-year minimum: the range between the 30-day high and low has narrowed and the bands themselves (rolling max/min) have tightly squeezed the price.
Such compression typically reflects #supply/#demand balance and low realized volatility, when #liquidity concentrates above local highs ($120K) and below lows ($113K).
The probability of range expansion is increasing. #Support
BTC #volatility according to the 30-day Price #High & #Low metric has compressed to a 2-year minimum: the range between the 30-day high and low has narrowed and the bands themselves (rolling max/min) have tightly squeezed the price.
Such compression typically reflects #supply/#demand balance and low realized volatility, when #liquidity concentrates above local highs ($120K) and below lows ($113K).
The probability of range expansion is increasing. #Support