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Project
Need(s) of the project
Mohammad Fariid
Bengaluru, Karnataka, India
Manager, IT, Project Management, Operation & Manufacturing, Research and Development, Human Resource, Training, Product and Service Design, Fooding
His\Her Talents
Years of experience:
5-10 years
Abilities:
At ease with ideas, Organised, Imaginative, Overall Approach, Intuitive, Open minded, Flexibility, Search Information
Languages:
{{ ''|langNameByCode}} - Full professional proficiency
{{ ''|langNameByCode}} - Limited working proficiency
{{ ''|langNameByCode}} - Full professional proficiency
{{ ''|langNameByCode}} - Full professional proficiency
{{ ''|langNameByCode}} - Limited working proficiency
Accomplishments:
I've traveled and worked abroad in the middle east. I've lived in a diversified country, India. Worked in various roles in various industry/department, like Restaurant Manager, Purchasing & Administrative Assistant at a Furniture Store, Warehouse Manager and have also worked as Technical Support in the IT industry. I know I jumped a lot in my career, but I realised my mistakes. With it I've learnt a lot in life. That I think is my only big achievement, because nobody's born with knowledge, but they learn from experience.
His\Her Projects
Educations
Experience
Description:
Current trading bots and copy trading platforms are outdated and inefficient. Research has proven that over 90% of new traders fail in their first year. Most traders start by just learning skills of technical analysis, which isn't enough for consistent profits. Risk Management and emotion control is the key for trading success. Without that, trading is no different to gambling. Even successful traders sometimes lose control of their emotions, when they lose money on a trade.
Solution:
*Decentralisation (Blockchain) - Users funds are not controlled by any company.
*Deep Learning (AI) - Bot learns from every closed position and Pro Trader's (non-copy trader's) historical data. It keeps evolving it's prediction metrics with time and data. Based on those metrics, it picks and ranks successful Pro Traders to provide trade signals.
*Risk Management - Copy Traders submit their capital for trading. Based on risk management factors like max drawdown, stop-loss, take-profit, etc., bot shards a percentage of the capital into nano fund and diversify it by opening positions on trade signals sent by chosen Pro Traders.
*Pro Trader Rewarding System - Chosen Pro Traders are rewarded from Copy Trader's trading fees, if they send a winning trade signal.
*Nano Fund Management - To meet minimum trade size requirement, various Copy Trader's nano funds are combined together to act as one position or fund. Profits are then split equally.
Revenue Model:
Various options available. Can be discussed.
Solution:
*Decentralisation (Blockchain) - Users funds are not controlled by any company.
*Deep Learning (AI) - Bot learns from every closed position and Pro Trader's (non-copy trader's) historical data. It keeps evolving it's prediction metrics with time and data. Based on those metrics, it picks and ranks successful Pro Traders to provide trade signals.
*Risk Management - Copy Traders submit their capital for trading. Based on risk management factors like max drawdown, stop-loss, take-profit, etc., bot shards a percentage of the capital into nano fund and diversify it by opening positions on trade signals sent by chosen Pro Traders.
*Pro Trader Rewarding System - Chosen Pro Traders are rewarded from Copy Trader's trading fees, if they send a winning trade signal.
*Nano Fund Management - To meet minimum trade size requirement, various Copy Trader's nano funds are combined together to act as one position or fund. Profits are then split equally.
Revenue Model:
Various options available. Can be discussed.
Project progress: 1- Definition of Conceptproject-logo-part
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