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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
What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model
#Article #Artificial_Intelligence #Data_Science #Demand_Forecasting #Dynamic_Pricing #Machine_Learning #Pricing_Optimization
via Towards Data Science
#Article #Artificial_Intelligence #Data_Science #Demand_Forecasting #Dynamic_Pricing #Machine_Learning #Pricing_Optimization
via Towards Data Science
Telegraph
What If I Had AI in 2020: Rent The Runway Dynamic Pricing Mo…
Ever wondered how different things might have been if ChatGPT had existed at the start of Covid? Especially for data scientists who had to update their forecast models? The post What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model appeared first…