Cryptomon

Cryptomon

Created using Figma
Created using Figma

Ultimo aggiornamento

3 apr 2018

Cryptomon è una piattaforma pronta per l'uso con algoritmi di previsione reali e indicatori personalizzati basati sull'apprendimento automatico. La prima versione di Cryptomon è stata rilasciata a giugno 2017 e da allora abbiamo costruito una community di esperti in machine intelligence attorno alla piattaforma Cryptomon. Tutto ciò ci offre un vantaggio competitivo significativo rispetto ad altri strumenti e piattaforme di trading che sono ancora in fase di sviluppo e che utilizzano ML solo come una pietra miliare futura.
Pre-ICO 15%
3 apr 2018
3 mag 2018
100% completato
Fondi raccolti - nessun dato
past
  • 1 CMN
    =
    0.5525 USD
Dettagli del token
telescrivente
CMN
Dettagli della Compagnia
Paese registrato
Slovakia
dettagli aggiuntivi
piattaforma
Ethereum
categorie
piattaforma

Di Cryptomon

Cryptomon fornisce una serie di previsioni e indicatori moderni per il controllo delle strategie di trading. Qualsiasi cripto trader armato di potenza computazionale e data science può prendere decisioni di trading più intelligenti e veloci e massimizzare i profitti commerciali. Quindi, perché usare un indicatore legacy come MA (Moving Average), quando abbiamo l'intelligenza della macchina?

Caratteristiche

- & nbsp; Notifiche sugli scambi di segnali
- & nbsp; algoritmi e indicatori di previsione
- & nbsp; apprendimento automatico

Informazioni tecniche

K-nearest neighbors
The k-nearest neighbors (KNN) algorithm is a non-parametric algorithm that can be used for either classification or regression. Non-parametric means that it makes no assumption about the underlying data or its distribution. It is one of the simplest Machine Learning algorithms, and has applications in a variety of fields, ranging from the healthcare industry, to the finance industry. More info on wikipedia. Source code available on GitHub.

Multilayer perceptron 
A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one. Except for the input nodes, each node is a neuron (or processing element) with a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training the network.MLP is a modification of the standard linear perceptron and can distinguish data that are not linearly separable. More info on wikipedia. Source code available on GitHub.

LSTM 
A powerful type of neural network designed to handle sequence dependence is called recurrent neural networks. The Long Short-Term Memory network or LSTM network is a type of recurrent neural network used in deep learning because very large architectures can be successfully trained. More info on wikipedia.

WTBS indicator
When To Buy and Sell technical indicator is based on CNN - Convolutional Neural Network. NN use a variation of multilayer perceptrons designed to require minimal preprocessing. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics. Convolutional networks were inspired by biological processes in which the connectivity pattern between neurons is inspired by the organization of the animal visual cortex. More info on wikipedia. Source code available on GitHub.

% name% Roadmap

  • June 2017

  • First version with basic predictions
    BTC subscriptions
  • Q3 - Q4 2017

  • Cryptomon Lab with ML stack
    New indicators in Lab - WTBS (When To Buy and Sell) indicator, WM (Whale Moves) indicator
    Multilayer perceptron and K-nearest neighbors v2 implemented on web
    WTBS v1 indicator implemented on web
  • Q1 2018

  • CMN token public presale and sale
    CMN token based subscriptions, BTC subscriptions disabled
    WM v1 indicator implementation on web
    Bounty program start
  • Q2 2018

  • CMN reward program start
    Requests for enhancements listed on https://gitcoin.co or https://gittoken.org
    New prediction algorithms and indicators
    Support for the new exchanges and currency pairs
    CMN token on more than 2 exchanges
    Signals dashboard
  • Leggi di più
  • Q3 2018

  • 0x protocol signals (support for any ERC20 tokens)
    Trade signals notifications for Telegram app
    Support for the new exchanges and currency pairs
    New prediction algorithms/indicators with monitoring of news and social feeds
  • Q4 2018

  • Containerized projects in Lab - user can deploy and execute project directly from web with visible results
    Integrations with 3rd parties like https://tradingview.com - Cryptomon indicators on interactive chart, or integrations with trading bots
    Support for the new exchanges and currency pairs
  • Q1 - Q2 2019

  • Lab marketplace
    CMN token on more than 5 exchanges

Attività

Seguaci:
38
VERY LOW
Piace:
35
VERY LOW
Seguaci:
261
VERY LOW
tweets:
15
VERY LOW
Crescita di 30 giorni:
Utenti:
5
VERY LOW
Crescita di 30 giorni:

Cryptomon Squadra

verificata 100%

Peter Klobusnik
CEO / FOUNDER / ARCHITECT
verificata
Peter Kotula
CTO / FOUNDER / ARCHITECT / LEAD SOFTWARE DEVELOPE...
verificata
Martin Hazy
SUPPORT / MARKETING SPECIALIST
verificata
Juraj Burian
ARCHITECT / LEAD SOFTWARE DEVELOPER
verificata

Cryptomon Interviste

Peter Klobusnik
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Working for more than 12 years in the IT industry as an R&D expert and entrepreneur. Currently focusing on deep learning and its applications on time series analytics. Experience in trading and trading algorithms development since 2013.
Peter Kotula
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Working in the IT industry since 2006, in various positions, as developer, project manager, architect and DevOps. Blockchain and smart contracts enthusiast. Currently working on Fast/Big Data projects.
Martin Hazy
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Martin is working almost 10 years in IT industry for global companies. Except his passion for music and art he is focusing on searching trade patterns and trading strategies in cryptocurrencies and other markets either.
Juraj Burian
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Born in 1970, in 1994 finished university study with specialization on theoretical physics, then start developing software on professional basis. In present time working on Big Data projects, distributed calculations with focus on functional programming techniques.
Favorite languages are Scala and Haskell, favorite toolset SMACK.

Cryptomon Ultime novità

3.57
stable
5.0 20
ICO Profilo Visione Attività Potenziale Prodotto Squadra
  • Poiché potrebbero esserci differenze temporali negli aggiornamenti delle informazioni, è necessario verificare le informazioni accurate su ciascun progetto ICO attraverso il suo sito web ufficiale o altri canali di comunicazione.
  • Questa informazione non è un suggerimento o consiglio su come investire in finanziamenti ICO. Si prega di indagare approfonditamente le informazioni rilevanti da soli e decidere sulla partecipazione ICO.
  • Se pensi che ci siano problemi o problemi da correggere su questo contenuto, o se desideri inviare il tuo progetto ICO da elencare, per favore inviaci un'email.
Si prega di leggere la dichiarazione di non responsabilità e l'avviso di rischio. Mostra disclaimer e avviso di rischio.
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