Holons Crypto

Holons HN$ Cryptocurrency Exchange

Holons IEO in relation to Holon$ three main pillars

IEO strategy

A realistic business model Holons

Cutting-edge technologies Holons

A minimal viable product (MVP) Holons

Token Holons

A strong team backing the project Holons

A reasonable hard cap Holons

Initial investors’ buzz Holons

A project website for marketing purpose Holons

DLT AI in price prediction

Many machine learning and deep learning algorithms such as Gated Recurrent Unit (GRU), Deep Neural Networks (DNNs), deep residual network, Long short-term memory (LSTM), Support Vector Machine (SVM), and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) and their combinations have been used by the researchers to predict and analyze the factors affecting the cryptocurrency prices. 

Financial derivatives

Besides standard pair swaps, there are various forms or financial derivatives, such as Futures Contracts and Equity Options, are used as advanced trading methods. 

Price prediction based on image analysis

Most of traditinally used machine learning price prediction algorithms rely of on numeric alanysic of stocks prices and other their derivatives. We propose a machine learning image recognition based alanysis when price charts and price combinations diagrams are used as  training datasets and methods such as Extended Kalman Filter are used to predict prices.

Holon$ Bank ~ NEO Coin Price by Coinlib