Top ICOs Raising Funds, Week 44 ’18

Total raised funding amount comes to $81.4M, which is +44.8% in comparison with the previous week ($56.2M)

Have a look at the data on several ICO projects of the past week (44 Week of 2018) ranked below in order of money raised: Tixguru, CitiCash, TrustedCars, Module and CargoCoin

Tixguru (TIX)

Raised funds: 10.4% ($8,431,924)

Tixguru is a digital asset management platform based on blockchain and big data quantiative analysis.

Ended with $8,431,924 raised.

CitiCash (CCH)

Raised funds: 6.4% ($5,226,197)

The CitiCash digital currency has been developed to allow ordinary people to enter the world of cryptocurrencies.

Ended with $5,226,197 raised.

TrustedCars (FLEX)

Raised funds: 6.1% ($5,000,000)

TrustedCars aims to change car ownership: with TrustedCars Flex client can choose any vehicle he or she wants from the available inventory of participating car dealers within the TrustedCars Flex network, digitally sign for it in the app, and client is ready to go.

Ended with $5,000,000 raised.

Module (MODL)

Raised funds: 5.8% ($4,699,950)

The Module is a blockchain-based platform offering an asset of free mobile device storage. Module platform allows users to mine and rent unused GB even from small portable devices, which means that any mobile phone owner will be able to participate in the Module business and earn.

Ended with $4,699,950 raised.

CargoCoin (CRGO)

Raised funds: 1.5% ($1,247,819)

CargoCoin platform the interaction amongst importers, exporters, shipping lines, freight forwarders, ship owners, booking agents and other parties involved in the international trade and transport of commodities and cargoes.

Ended with $1,247,819 raised.

Other ICOs raised 69.8% ($56,849,669) by Week 44

The data is taken from websites with open data, at the moment of publication. The given information helps to grasp an overall dynamics of the market at large. Keep in mind, some data can be updated with delay. If you are an investor, we recommend you to turn to the ICO representative for real-time data.

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