Looks as tho your resistance levels of 164 & 168 have been well & truly smashed & that my break-even of 200 will soon be old history as well. Well done to all that have held through all the years of gut-churning & headaches on this share.
Man Group shares soar as hedge fund giant makes a mint on SNB euro cap reversal
The Man Group, which is the world's largest hedge fund firm with $73.3bn (£48.9bn, €65.2bn) in assets under management, saw its stock price rose by over 2.5% as of 1110 GMT on 23 January to 176.04p straight after the news was released.
The SNB revealed on 15 January that it would no longer cap the Swiss franc's value against the euro, sending the currency soaring as much as 30% in a chaotic day of trading.
Some FX and spread betting outfits, such as Alpari UK, fell into insolvency only a day later. Investment banks, such as Barclays also lost out on "tens of millions" of dollars on the shock SNB decision too.
However the large shifts in FX rates meant that there were winners in the market too.
The data allegedly shows that Man's AHL Currency fund gained another 4% to its returns from the beginning of the year to 16 January, partly helped by the Swiss franc volatility, after already receiving a 58% boost in 2014.
Man's $2.8bn AHL Alpha fund rose 2.9%, the $4.4bn AHL Diversified fund by 4.5%, while the $4bn AHL Evolution fund returned 5.7%.
Case study: Hedge fund AHL Man Group uses MongoDB to feed quants with data
Wednesday 21 January 2015 15:45
Hedge fund AHL Man Group has replaced a range of disparate relational databases with a single data platform built on NoSQL database MongoDB for financial market data.
While the average person might have a view of a trading floor as a cacophonous bear-pit full of aggressive men in red braces, the environment at AHL, says Gary Collier, co-CTO at the group, is “quiet and civilised”. There work the quantitative analysts – “quants” – whose job it is to devise models that can then feed algorithmic trading systems.
stocks-shares-290px.jpg Getty Images/iStockphoto
“We’ve changed the working model by which those researchers get new sources. It is now more of a self-service model for our users. Only a few years back, onboarding new data sources would have been met with a sharp intake of breath around lead times,” says Collier. “A lot of the data is now onboarded by users.”
The hedge fund has a “beefy compute cluster”, he says, “which was previously constrained by speed of data access”.
“We can now saturate the network and it is no longer a bottleneck,” adds Collier.
Interfacing with Python in MongoDB is very slick
Gary Collier, AHL Man Group
In 2012, Collier and his team of around 40 technologists took a hard look at their data management and analytics environment.
“We needed quick access to historical, financial and other types of data to draw it into a research environment where the quants, and others, can run analytics on it, and devise trading models,” he says.
There was, at that time, a range of computing languages in use at analyst level, including R and Matlab. Collier and his technology team decided to standardise on Python and, serendipitously, have found that their most recent data technology choice of MongoDB as a data store works well with it.
“Interfacing with Python in MongoDB is very slick,” says Collier.
When they had standardised on Python, in 2012, he says they were in a position to then tackle the historical data held in different forms of proprietary databases.
“Essentially, we had a broad landscape of data storage technology which wasn’t great for onboarding new things. Performance wasn’t good and there were lots of moving parts,” he says. That led to the search for a new data store.
The team completed a proof of concept with MongoDB at the end of 2013, then hit a 30 May deadline in 2014, obviating the need to relicense the technology they had been using before, which Collier declined to name.
An immediate financial benefit was a 40 times reduction in licensing costs
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