A senior researcher at Goldman Sachs stated the banks increase in its research effort. Putting this down to hardware advances that suggest the technology is on the verge of a breakthrough. More importantly, he mentions the “possibility this becomes a critical technology.” This is the thought process behind many businesses effort to build a quantum computer including the algorithms and software to fully utilise it.

William Hartnett, managing director at Citi, realises the power of this new technology is ground-breaking in risk management and trading and went on to say “banks need to start learning how to harness it now.”

The main focus is aimed the Monte Carlo Simulations. A Monte Carlo Simulation is a prediction and forecasting tool where multiple outcomes are simulated with varying random variables. On a standard supercomputer, the algorithms are well known and documented. However, a quantum computer requires new algorithms.

A traditional supercomputer has a strict logic path it obeys when calculating the outcomes, whereas a quantum computer can compute multiple outcomes at once and select the most desirable outcome.

In terms of the finance industry, banks carry out these complex calculations to assess their overall risk positions and option pricing.

“Together, these calculations account for the bulk of the computing power currently used by JPMorgan Chase”, said Ning Shen, managing director of quantum research.

The hope that instead of overnight calculations for risk assessment, they will be completed instantly. The advantage being that real time quotes grant opportunities in a larger market.

Mr Shen added: “If you can recalibrate your models fast, you can give better execution to clients.” The same technology could also make it possible to optimise the investment portfolios of wealthy clients on a case-by-case basis, he said.

Quantum computing is far from the only technological advancement that could shake up the industry. AI can analyse huge amounts of data quicker than humanly possible making it efficient at spotting anomalies or opportunities.

Source: FT.com

Modelomni has been quicker in spotting the potential of Artificial Intelligence and developing highly sophisticated models. The fact remains larger Wall Street Companies struggle to adapt to newer technologies and do it fast, while the more dynamic and disruptive Tech start-ups are more agile and flexible and less burdened by hierarchy.

XTX employs no human traders while Ken Griffith’s, Citadel Securities has spent the last 4 years focusing on technology to challenge Wall Street Market Makers. Both viewed as huge success with technology the key factor.

Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

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Research and Development never stops or decelerates.

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Scott Wilson, Chief Investment office of $8.9 Bio endowment fund at the Washington University in St Louis, Missouri was appointed two years ago. During his time, he has turned away from hedge funds, reducing the hedge fund share from $20% to a little over 10%.

Scott Wilson also said, “We got out of the hedge fund portfolio, we don’t want any investment just for the sake of having that investment.” In the future, he plans to reallocate resources to back around 15-20% albeit very cautiously. “It’s not that all hedge funds are bad, but you have to be very careful in the selection process”

This is not a shock after years of underwhelming performances from hedge funds. Hedge Fund Managers have failed to outperform the S&P 500 Stock Index every year since 2009, in both rising and falling markets. Last year provided their best returns but still lagging behind the market.

The longest bull market in history has led to an increase interest in tracker funds.  Investors search for alternatives to hedge funds. This search has caused private equity and debt to boom.

Mike Powell, head of the private markets group at London-based USS Investment Management, which manages the £68bn Universities Superannuation Scheme, stated that it had reduced it’s hedge fund holdings to less than 2% of assets from 4% five years ago. This reduction has no plans on stopping. More hedge fund positions will be removed “to focus only on those that offer strategic alignment with our investment priorities and clear value-for-money”, said Mr Powell. Unfortunately, a similar story about hedge funds remain. “The continued disappointing performance. . . at a time when fees have remained high”, he said.“The current low volatility environment has made it difficult for hedge funds to perform and, as a result, [investors] are asking questions on how they allocate in a way that they previously did not,” said Dan Nolan, a director at Duff & Phelps, a professional services group.

More pension funds, UK local authority , Calpers and PFZW are turning their back to hedge funds. Hampshire is selling out of a hedge fund portfolio with Morgan Stanley, in favour of a private debt mandate with JPMorgan.

Since 2015, the share of total hedge fund assets coming from public and private sector pension funds, endowments, foundations and insurance companies has slipped from 71 per cent to 67 per cent, according to data from the Alternative Investment Management Association. Data from HFR also shows the waning power of hedge funds, over $70 Bio has been pulled from hedge funds over the last two years.

After two years of losses in the past five, Sanjiv Bhatia had some powerful words to say. “There’s a very strong recency bias in all investment decisions,” said Sanjiv Bhatia, who runs the Pembroke Emerging Markets hedge fund in London and previously managed emerging-markets portfolios for Harvard’s endowment. “People chase returns, and it’s no different at the top of pension funds,” he said. “People up there are not more visionary.”

Source: Financial Times

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Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Modelomni Raison d’etre is to constantly deliver highly sophisticated technological solutions to our clients.

Research and Development never stops or decelerates.

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Many were shut down due to rising costs and underperformance. The few which survived were barely afloat or returning capital to investors. As a result, for the fifth straight year, there will be more closures than launches. More than 4,000 funds have been liquidated in the past five years, according to data compiled by Hedge Fund Research Inc.

This is not something that has affected new hedge funds. Legendary trader Louis Bacon announced his retreat into a family office and would return capital to investors. A combination of the longest running bull market in history, investor demanding performance or the inability to raise cash to stay in the game has caused a decline in hedge funds.

Investors have yanked $81.5 Bio this year through November, double the amount in the whole of 2018 according to eVestment data. Investors are looking to invest elsewhere due to high fees and mediocre return. As for returns, there’s little to cheer there. While the S&P 500 delivered a 28% gain this year through November, the Bloomberg Equity Hedge Fund Index only managed 10%.

Here are some of the biggest firms to shut their doors to outside investment in 2019:

• Appaloosa Management
• Moore Capital
• BlueMountain’s flagship and Quant funds
• Arrowgrass
• Vinik Asset Management
• Amplitude

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Research and Development never stops or decelerates.

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Russel Clark’s Hedge fund, The Horseman Global fund, recorded its biggest ever annual loss due to short bets during the longest bull market in history. The hedge fund fell 35% last year.

Contrarian bets made Clark on of the most watched fund managers in the word. He wagered against equities since 2012 and raised its net short position to a record 111% of gross assets in October according to Bloomberg. However, as the S&P 500 index rose 31.5% last year, Clark’s fund is now struggling.

In 2015, Horseman Global managed $1.7 Bio. As of November 2019, the fund is down to $241 Mio. Clark is one of the last short sellers left who’s willing to make such directional bets amid a rising market and has limited time to save his hedge fund.

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Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Research and Development never stops or decelerates.

No emotions. Relentless 24 hours per day self-learning and self-correcting Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning Neural Networks algorithms, 100% focused on performing one single task efficiently: Trade under strict conditions and with Risk Management at its core.

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Audio feeds from Bank of England press conferences were hacked in order to receive information seconds quicker than the competition. In a world where information is power, fast traders have the possibility of making a fortune.

Press conferences are usually streamed on an official Bank of England video feed which is managed by Bloomberg. Several years ago, a back up individual audio feed was installed.

It had been recently discovered that one of its information suppliers streamed the audio feed and sold to clients for up to £5,000 each time for a significant advantage against the competition.

Many hedge funds operate a high frequency trading model where ultrafast computer systems trade by milliseconds in order to make a profit. Any knowledge discovered ahead of rivals can earn millions of pounds.

The UK’s financial watchdog has launched an investigation into the breach which can levy fines or criminal charges.

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Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Modelomni Raison d’etre is to constantly deliver sophisticated technological solutions to our clients, for maximum performance with stringent Risk Management.

Research and Development never stops or decelerates.

No emotions. Relentless 24 hours per day self-learning and self-correcting Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning Neural Networks algorithms, 100% focused on performing one single task efficiently: Trade under strict conditions and with Risk Management at its core.

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Citadel Securities, the market-making firm, generates $3.5 Bio. The Ken Griffin firm outpaced similar non-banks and is also catching up to highly successful Wall Street Rivals.

Citadel Securities may be even more lucrative than Griffin’s hedge fund because of reports that profit margins will exceed 30%. His wealth, long estimated at about $10.3 billion, based largely on his investments in, and ownership of, the hedge fund business, is $5.1 billion higher, according to new calculations by the Bloomberg Billionaires Index.

Citadel Securities is an award-winning global market maker across a broad array of fixed income and equity products. The unique set of capabilities and tools are designed to drive down the cost of transactions, helping to meet the liquidity needs of asset managers, banks, broker-dealers, hedge funds, government agencies, and public pension programs. They strive to provide the most efficient execution and the highest caliber of services, making markets more fair and accessible for all, taken from Citadel Securities website.

Eight years ago, Citadel Securities was beginning to look like a failed experiment by Griffin as he looked for opportunities caused by the financial crisis. The newly developed firm was a full-service investment bank that would compete with Wall Street by offering research, underwriting and mergers-and-acquisitions advice. However, this was ended two years ago as dozens of employees were dismissed and the firm focused on electronic trading.

It began as a high frequency market-maker in options before moving into equities. According to Bloomberg, it handles more than 1 of every 5 shares traded in the U.S.

Technology has fueled the rise of nonbank market-makers, according to Larry Tabb, founder of Tabb Group LLC. Their smaller size and highly targeted business models make it easier to respond to changes and improve technology.

In 2016, Citadel gained a presence on the floor of the New York Stock Exchange by acquiring a division of KCG Holdings Inc. it’s now the largest market-maker, winning mandates from Uber Technologies Inc., Spotify Technology SA and Virgin Galactic Holdings Inc. The firm could be in line for more lucrative assignments as startups bypass traditional public offerings for so-called direct listings.

Bloomberg referred to Citadels Securities as a “Money Machine” due to its rising revenue and ability to muscle banks out of markets they once dominated. The success came from a focused mission on technology.

Employees also have investments in the hedge fund, so they benefit when the funds perform well. A memorandum tied to a recent bond offering shows that about 20% of Citadel LP’s $32.2 billion of assets under management come from principals and employees. Griffin has about $5.4 billion invested in Citadel funds, according to the Bloomberg Billionaires Index.

For now, those investments are thriving. The flagship Wellington Fund posted returns of 13% in 2017 and 9.1% in 2018, and is up 16.7% through the first 11 months of this year. That performance stands out in a challenging environment for hedge funds. As seen by the recent news of several hedge funds struggling.

The securities business continues to expand rapidly and is now vying to become one of the Fed’s primary dealers.

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Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Research and Development never stops or decelerates.

No emotions. Relentless 24 hours per day self-learning and self-correcting Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning Neural Networks algorithms, 100% focused on performing one single task efficiently: Trade under strict conditions and with Risk Management at its core.

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“Financial machine learning creates a number of challenges for the 6.14 million people employed in the finance and insurance industry, many of whom will lose their jobs — not necessarily because they are replaced by machines, but because they are not trained to work alongside algorithms,” Lopez de Prado told the U.S. House Committee on Financial Services.

During the almost two-hour hearing, lawmakers asked experts about racial and gender bias in AI, competition for highly skilled technology workers, and the challenges of regulating increasingly complex, data-driven financial markets.

Kirsten Wegner, Chief Executive Office of Modern Markets Initiatives told the committee “As further automation and AI capacity emerges, U.S. companies will need to innovate and invest in leading technology to continue to compete in a global marketplace”

She went to say  that the as the pace of technology quickens and companies continue to innovate, there will be further growth in automation especially in the Asset Management Industry. This is due to AI being used “for Know Your Customer services to understand risk tolerance, investment goals, and to help humans make more informed decisions, and deliver performance results in an increasingly competitive and global industry.”

At Swiss investment bank Credit Suisse, Laura Barrowman, chief technology officer, revealed that the company is retraining employees who have been replaced with AI. “Globally, if you look at cyber skills, I think there is a deficit,” Barrowman told Business Insider’s panel at the World Economic Forum.  “There is such a shortage of skills, and you need people who have that capability.”

In a report by Business Insider,  banks are already investing into automation through customer identification, mimic live employees and personalised insights. JPMorgan is cleaning thousands of databases to make room for machine learning tech. Citi president Jamie Forese said in 2018 that robots could replace as many as 10,000 human jobs within five years.

Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Modelomni Raison d’etre is to constantly deliver highly performing and sophisticated technological solutions to our clients.

Research and Development never stops or decelerates.

No emotions. Relentless 24 hours per day self-learning and self-correcting Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning Neural Networks algorithms, 100% focused on performing one single task efficiently: Trade under strict conditions and with Risk Management at its core.

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What may surprise you is that XTX make money not as a tech startup but as market-makers.

Between years 2015 and 2018, XTX’s revenue has quadrupled from $72 Mio to $305 Mio. Now they have plans to expand beyond Europe with offices in Singapore, New York and Paris. There are not only expansion plans with news products added included U.S equities and Treasuries.

Data from LinkedIn shows its workforce comprises of majority computer science backgrounds. An overwhelming 34% of employees studied computer science with only 10% studying finance.

The standout feature is that XTX employs no human traders

XTX refers to a mathematical formula used in its trading algorithms — relies on data analytics and massive computing power.  The website states 42 petabytes of usable storage and 85 terabytes of RAM (Random Access Memory) which enables them to handle more than $150 Bio daily trading volumes within Equity, FX, Fixed Income and Commodity markets

Larry Tabb, founder of research firm Tabb Group LLC, mentioned since all the business is electronified, “all they really need to do is connect to the various platforms and they can make markets”. Furthermore, he states they don’t need to turn to Apple or IBM for cash management business. Smaller market makers have the advantage compared to bigger banks due to their ability to “quickly adapt technology and strategies” and agilely invest.

According to Bloomberg, XTX dropped to fourth from third in global market share, according to the Euromoney survey. Meanwhile, JPMorgan Chase & Co. ranked first, followed by Deutsche Bank, which rebounded from No. 8.

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Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Modelomni Raison d’etre is to constantly deliver highly performant and sophisticated technological solutions to our clients.

Research and Development never stops or decelerates.

No emotions. Relentless 24 hours per day self-learning and self-correcting Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning Neural Networks algorithms, 100% focused on performing one single task efficiently: Trade under strict conditions and with Risk Management at its core.

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It was not far into the past that Moore Capital was managing $14 Bio however towards the end of 2018, this was below $9 Bio.

In a letter to his investors which was seen by CNBC Reporter Leslie Picker, Moore Capital will be returning majority of client money from its core funds by Q1: Remington Investment Strategies, Moore Global Investments and Moore Macro Advisors. Moore also mentions the “intense competition” for trading talent and a challenging business model due to client pressure.

One of Moore’s funds fell almost 6% last year, followed by another fund dropping 3.3% according to the Financial Times. The letter states “disappointing results of these funds of the last few years”

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A decision which points to the difficulty traders are facing trying to make hedge fund strategies work.

This is not the first high profile retreat this year. In May 2019, David Tepper announced his decision to turn his hedge fund, Appaloosa Management into a family office. Reuters mention “lackluster returns” combined with “lofty fees” by hedge funds are forcing investors to reconsider.

Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Modelomni Raison d’etre is to constantly deliver highly performant and sophisticated technological solutions to our clients.

Research and Development never stops or decelerates.

No emotions. Relentless 24 hours per day self-learning and self-correcting Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning Neural Networks algorithms, 100% focused on performing one single task efficiently: Trade under strict conditions and with Risk Management at its core.

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Firm was founded with $800 Mio from Moore Capital fund which has been recently closed along with news that Louis Bacon would be quitting trading.

The firm, founded by former Moore Capital traders Jens-Peter Stein, Kornelius Klobucar and Chris Nicoll, oversaw $3 Bio at the end of October, according to Bloomberg. This is down from $6 Bio at its peak.

“We can confirm that Stone Milliner is conducting an orderly winding down, the firm is returning all capital/assets to investors by December,” a spokesperson for the firm commented.

This is not the first story to break this story. Stone Milliner is one of many hedge funds retreating into family offices or forced to shutter. Years and years of losses joint with high fees have clients withdrawing funds. Data compiled by eVestment shows that $87.9 Bio has been yanked from hedge funds this year; twice as much as in all of 2018 according to Bloomberg.

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Furthermore, since 2015, there have been more closures of hedge funds than launches with indicators pointing to increasing competition and struggle to find returns.

Modelomni Technology Lab offers an efficient Portfolio Diversification Solution for Market Professionals, uncorrelated to Equities and Bonds.

Modelomni Raison d’etre is to constantly deliver highly performant and sophisticated technological solutions to our clients.

Research and Development never stops or decelerates.

No emotions. Relentless 24 hours per day self-learning and self-correcting Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning Neural Networks algorithms, 100% focused on performing one single task efficiently: Trade under strict conditions and with Risk Management at its core.

Contact us here