Quant Insight launches multi asset analytics for retail traders
iQbyQi was launched to solve one problem with retail traders: 60-80 per cent of individual online trading accounts lose money. That is out of every 10 traders, only 2-3 traders succeed. . All asset classes from FX to single stocks, indices, commodities, crypto, and futures are covered.
Quant Insight has launched an institutional grade analytics product to empower retail traders in Europe and the Middle East.
iQbyQi is a cloud-based AI “market brain” which analyses millions of data points in real-time, understands how they are all connected to market prices, highlights opportunities and risks, then broadcasts ‘insights and analytics’ tailored specifically to individual traders, said the firm.
From FX to single stocks, indices, commodities, crypto, and futures
Mahmood Noorani, Co-Founder and Chief Executive Officer for Quant Insight, commented: “Key information moves markets. It’s all connected and overwhelming and it is impossible for the human brain to parallel process all this data and information. Institutional investors have always had access to cutting edge technology, tools and resources such as Qi. However, the trend towards democratisation is accelerating and the launch of iQbyQi designed for individual traders is another key marker on that path.
“iQbyQi, has levelled the playing field, offering retail traders a real opportunity to make better investment decisions. Individual investors now have access to a new level of insight and analysis backed by AI, machine learning and data science. Armed with this unique insight into the macro-forces driving asset prices, individual investors will be better equipped to identify key market opportunities and risks. This is a far cry from the myriad of subjective, conflicting, and often confusing opinions and comments that flood retail investors every minute.”
The provider of quantitative financial market analytics and trading insights has observed retail traders are flocking the trading environment in a trend accelerated over the Covid 19 outbreak in 2020.
Democratization of trading meets ‘blown accounts’
15 percent of all retail investors began investing in 2020, and retail investors’ share of total equities trading volume is now approaching 25 percent, up from 20 percent in 2020, and 10-15 percent the previous decade, according to a recent Charles Schwab survey. By March 2021, retail trading accounted for almost as much as mutual funds and hedge funds combined.
eToro signed up 3.1 million new registered users in the first quarter of 2021. In October 2021, trading platform Robinhood reported a 130% spike in new user accounts to 22.5 million from 9.8 million in the same quarter last year.
As new demography of the trading industry consolidates with the rise of the retail trader, the ecosystem is now addressing DYI investors by offering products targeted at them, which includes Quant Insight’s iQbyQi.
iQbyQi was launched to solve one problem with retail traders: 60-80 per cent of individual online trading accounts lose money. That is out of every 10 traders, only 2-3 traders succeed.
Regulatory bodies around the world have taken action with restrictions on leverage and marketing while calling for investor education, but losing accounts remain quite high.
iQbyQi will be available through online brokers in Europe and the Middle East as a first step. Retail investors will receive iQbyQi insights and analytics which should help them to make better investment decisions.
Quant Insight has offices in London, New York, Singapore and Limassol, and provides macro insights to investment banks, hedge funds, and asset managers.
“For too long the investment world has relied on a mixture of subjective research, educated guesses and an abundance of data that has made accurate decision-making impossible. It is our key aim to help retail investors make sound investment decisions that will protect their investments.
“iQbyQi is the antidote to a world where retail traders are swamped by countless subjective opinions leading to nothing but confusion; an antidote based on the power of data science, Ai and machine learning for better investment decisions.”