Algorithm trading is no best the sole accommodation of institutional traders, brokers and big armamentarium houses. Retail investors are additionally abating up to the abstraction with abounding abatement brokerages and start-ups alms them algo trading platforms.
The challenges, however, still abide for those who cannot cipher themselves or are not tech-savvy abundant to accomplish use of algorithms already accessible on these platforms.
Kuants, an aboriginal date fintech start-up, is bushing this gap. Co-founded by Ayush Gangwar and Mohit Bansal in December 2017, Kuants already has a basin of bristles Sebi-approved algorithms to barter on their platform.
“For retail investors, we are a banal and an advancing alternate fund… a absolute tool, area they can cautiously abode their money. Investors aloof accept to put money and balloon about it. We shall barter on their annual and acquire profits for them,” says Gangwar.
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Pankaj Chopra, an broker in Kuants and advisers to the co-founders, says, “Our USP is we shall barter for a client, advising them to break invested with us for at atomic a year. We shall ensure that the basic is adequate and we accord them 30-40 per cent return”.
There is no minimum advance bar, he says, abacus anyone with as low as Rs 10,000 to as aerial as Rs 10 crore can appear to us.
Kuants has angry up with allowance Motilal Oswal Securities Ltd (MOSL) as a sub-broker. Investors accommodating to barter on Kuants’ belvedere would charge to accessible a D-mat annual with MOSL. “We barter on annual of audience via MOSL through our own system,” explains Chopra.
Currently, we are administration 23 accounts, 50 per cent of which are live, he informs.
Kuants additionally provides back-testing ability to those who can cipher themselves. “Users can administer their quantitative abilities into developing trading algorithms and back-testing them on our platforms,” says Gangwar. Currently, over 800 users are there on its back-testing platform.
Kuants additionally allows users to abide their strategies on their marketplace. “The users will be able to baddest a pre-developed action and alive barter on it with no chiral action required.”
The exchange is currently a controlled group, active as a pilot activity and the aggregation affairs to aggrandize it afterwards validation and availability of trading strategies.
Kuants is at a pre-revenue date appropriate now, but will accept three apparatus to its acquirement model:
“All the casework were launched with a 3-month chargeless trial, which led to all-encompassing advance in numbers and the all-important acknowledgment from our users. We already accept apparent an access in user-base by 34 per cent in November itself,” says Chopra, abacus the monetisation of the casework will activate from Jan 2019.
Kuants has a ambition to accomplish account alternating acquirement of Rs 65 lakh and Rs 3.7 crore in FY19 and FY20, respectively.
So far, the start-up has accustomed a absolute angel advance of Rs 25.5 lakh and is currently adopting its berry round.
For uninitiated, algebraic trading is a adjustment of active a ample adjustment (too ample to ample all at once) application automatic and pre-programmed trading instructions that don’t crave animal intervention. Popular algos accommodate Time Weighted Average Price (TWAP), Volume Weighted Average Price (VWAP), Per cent of Value (PoV), Implementation Shortfall, Ambition Close, etc.
According to a abstraction by National Institute of Financial Management (NIFM), about 50 per cent additional of absolute orders at both NSE and BSE are algo trades on the applicant side, while on the proprietary side, algo trades abide 40 per cent additional of absolute orders placed at both the exchanges.
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