Raido Financial RF
The Global Fintech EcosystemRaido Financial is a global fintech ecosystem that combines a set of universal crypto tools for trading, exchange, financial and investment operations for all B2B and B2C crypto market players through the single platform. Our mission is to provide all the market stakeholders with the most efficient, comprehensive and secure tools for carrying out all needed crypto activities.
- Project TypeToken
- Platform Ethereum
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply86,250
- Primary SectorFinance
- JurisdictionNone specified
He is a cryptocurrency enthusiast with a knowledge of blockchain and crypto related industries. Master of Science in Biotechnology Enterprise. Filippos has more than 2 years of experience working as a president in administrative committee representing Fibo Group Holdings LTD. Trading visionary, motivator with entepreneurial skills.
He has more than 12 years of experience in financial markets, including the banking sector and the stock market of Ukraine. He is a private investor, practicing trader and asset Manager with 10 years of experience. Proponent of the theory of a direct relationship between technical and fundamental analysis. Believes that trading solely based on of technical analysis without the fundamental basis is doomed to failure.
A practicing trader and analyst of the currency market with the knowledge of
Persian language. He has more than 3 years of experience in trading and market analysis using a wide range of technical indicators. His professional activity is focused on the trend and multi-level trading strategy. He has deep knowledge in the field of commodity and cryptocurrency markets. Pedram also specializes in writing analytical
articles, reviews and forecasts on the foreign exchange and commodity markets, based on the technical analysis with graphical figures.
Trader and analyst of the currency market with the knowledge of Spanish language.
Professional trader with extensive experience in teaching and writing analytical articles on technical and fundamental analysis, both in Russian and Spanish. In trading he is focused on conservative positional tactics using large time intervals. He is the author and the leader of a comprehensive training course on trading in international financial markets.
Specializes at the translations of the current fundamental news, publications, speeches and presentations of the leading financiers, heads of Central banks and reputable financial experts and analysts. In trading, she mainly uses fundamental analysis and its impact on the world financial markets, since fundamental factors are the main drivers of the market quotations movement. In the work she also applies the elements of
graphical and technical analysis.
A managing trader and analyst of the currency and commodity market. He has more than 6 years of successful trading and money management experience. During his work as a managing trader he created his personal trading strategy based on the method of a multi-level approach for the analysis of financial and commodity markets. The author of the training course " Multi-Level system - who trades the market?". His professional interests include global analysis of the world economy and technical
analysis of currency and commodity markets based on a multi-level approach.
Trader and analyst of the cryptocurrency market with the knowledge of Italian language. Professional expert and analyst of the cryptocurrency market. His interests also include global analysis of the world economy, fundamental and technical analysis of the currency and commodity markets. He has an extensive experience in teaching, seminars, webinars.
Yassin Walid Yunis is an analyst of the currency market with the knowledge of Arabic
language. He has more than 3 years of experience in trading using technical analysis. In particular, he applies the methodology of market analysis based on the use of candlestick analysis and graphical models. He is also an expert in the fundamental analysis. Yassin also specializes in writing analytical articles, reviews and forecasts on the currency and cryptocurrency markets.
|Developing, testing and product debugging costs||31,012,500 RF||36.00%|
|Marketing costs||18,262,500 RF||21.00%|
|Legal expenses||8,100,000 RF||9.00%|
|Administrative expenses||2,887,500 RF||3.00%|
|Nov 2017||Launch of the Raido Financial fintech ecosystem Market and competitors’ analysis Selection of a brand, creation of a single style and preparation of the UI.|
|Feb 2018||Development of the Raido Wallet’s database. Formation of the Reference Terms for Raido Wallet’s Backend-development teams; The development of the server architecture.|
|Mar 2018||Creation of the Raido Exchange Terms of Reference for Backend and Frontend development teams; Establishment of the Raido Exchange primary server architecture|
|Apr 2018||Development of the Raido Exchange Order Core (the base for accounting and information trading orders), the development of related databases and connectors (2 months); Development of the first Blockchain - Bitcoin nodes and creation of a bundle with Core R|
|May 2018||Development of the first version of the Raido Exchange Personal Account Development of the Raido Wallet application for Windows Expansion of additional block nodes: Ethereum, Litecoin|
|Jun 2018||Start of the Raido Exchange Web-version programming Testing and further development the Raido Exchange Personal Account|
|Aug 2018||Development of the first CRM-system version Addition of the trading history output function to the Raido Exchange Personal Account|
|Sep 2018||Release of the demo version without the possibility of registration and trading (a view of the Trading Platform is available); Addition of a new function: creation of your own Raido Wallet token according to the ERC-20 standard.|
|Oct 2018||Launch of the registration and access to the Dashboard Addition of the PIN code protection function to the application|
Questions and Answers
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low