the family’s money from the fund or worse (‘You hard-close the Gulzhans – the Gulzhans hard-close you …).
‘Well,’ continued Quarry, with the merest hint of a kiss blown in Elmira’s direction, ‘we apologise for that. But we took the view that we had to concentrate on implementing this new investment strategy based on our existing asset size. There’s always a risk with any kind of fund, as I’m sure you’re aware, that increasing size translates into decreasing performance. We wanted to be as confident as we could be that that wouldn’t happen.
‘It is now our opinion that this new system, which we call VIXAL-4, is robust enough to cope with portfolio expansion. Indeed, the alpha generated over the last six months has been significantly greater than it was when we were relying on our original algorithms. Therefore, as of today, I can announce that Hoffmann is moving from a hard-closed to a soft-closed position, and is willing to accept additional investment from existing clients only.’
He stopped and took a sip of water to allow the impact of his words to sink in. There was complete silence in the room.
‘Cheer up, everyone,’ he said brightly, ‘this is supposed to be good news.’
The tension was released by laughter and for the first time since Hoffmann entered the room the clients looked openly at one another. They had become a private club, he realised: a freemasonry bound together by a shared secret knowledge. Complicit smiles spread around the table. They were on the inside track.
‘At which point,’ said Quarry, looking on contentedly, ‘I think the best thing I can do is hand you over to Alex here, who can fill you in a bit more on the technical side.’ He half-sat down then stood again. ‘With a bit of luck I may even be able to understand it myself.’
More laughter, and then the floor was Hoffmann’s.
He was not a man to whom speaking in public came naturally. The few classes he had taught at Princeton before leaving the United States had been torture for lecturer and students alike. But now he felt himself filled with a strange energy and clarity. He touched his fingers lightly to his sewn-up wound, took a couple of deep breaths, then rose to his feet.
‘Ladies and gentlemen, we have to be secretive about the detail of what we do in this company, to avoid having our ideas stolen by our competitors, but the general principle is no great mystery, as you well know. We take a couple of hundred different securities and we trade them over a twenty-four-hour cycle. The algorithms we have programmed into our computers pick the positions we hold based on a detailed analysis of previous trends, mostly liquid futures – the Dow, say, or the S and P 500 – and the familiar commodities: Brent crude, natural gas, gold, silver, copper, wheat, whatever. We also do some high-frequency trading, where we may hold positions for only a few milliseconds. It’s really not that complicated. Even the S and P two-hundred-day moving average can be a pretty reliable predictor of the market: if the current index is higher than the preceding average, the market is likely to be bullish; if lower, bearish. Or we can make a prediction, based on twenty years of data, that if tin is at this price and the yen at that, then it is more likely than not that the DAX will be here. Obviously we have vastly more pairs of averages than that to work with – several millions of them – but the principle can be simply stated: the most reliable guide to the future is the past. And we only have to be right about the markets fifty-five per cent of the time to make a profit.
‘When we started out, not many people could have guessed how important algorithmic trading would turn out to be. The pioneers in this business were frequently dismissed as quants, or geeks, or nerds – we were the guys who none of the girls would dance with at parties—’
‘That’s still true,’ interjected Quarry.
Hoffmann waved aside
‘Well,’ continued Quarry, with the merest hint of a kiss blown in Elmira’s direction, ‘we apologise for that. But we took the view that we had to concentrate on implementing this new investment strategy based on our existing asset size. There’s always a risk with any kind of fund, as I’m sure you’re aware, that increasing size translates into decreasing performance. We wanted to be as confident as we could be that that wouldn’t happen.
‘It is now our opinion that this new system, which we call VIXAL-4, is robust enough to cope with portfolio expansion. Indeed, the alpha generated over the last six months has been significantly greater than it was when we were relying on our original algorithms. Therefore, as of today, I can announce that Hoffmann is moving from a hard-closed to a soft-closed position, and is willing to accept additional investment from existing clients only.’
He stopped and took a sip of water to allow the impact of his words to sink in. There was complete silence in the room.
‘Cheer up, everyone,’ he said brightly, ‘this is supposed to be good news.’
The tension was released by laughter and for the first time since Hoffmann entered the room the clients looked openly at one another. They had become a private club, he realised: a freemasonry bound together by a shared secret knowledge. Complicit smiles spread around the table. They were on the inside track.
‘At which point,’ said Quarry, looking on contentedly, ‘I think the best thing I can do is hand you over to Alex here, who can fill you in a bit more on the technical side.’ He half-sat down then stood again. ‘With a bit of luck I may even be able to understand it myself.’
More laughter, and then the floor was Hoffmann’s.
He was not a man to whom speaking in public came naturally. The few classes he had taught at Princeton before leaving the United States had been torture for lecturer and students alike. But now he felt himself filled with a strange energy and clarity. He touched his fingers lightly to his sewn-up wound, took a couple of deep breaths, then rose to his feet.
‘Ladies and gentlemen, we have to be secretive about the detail of what we do in this company, to avoid having our ideas stolen by our competitors, but the general principle is no great mystery, as you well know. We take a couple of hundred different securities and we trade them over a twenty-four-hour cycle. The algorithms we have programmed into our computers pick the positions we hold based on a detailed analysis of previous trends, mostly liquid futures – the Dow, say, or the S and P 500 – and the familiar commodities: Brent crude, natural gas, gold, silver, copper, wheat, whatever. We also do some high-frequency trading, where we may hold positions for only a few milliseconds. It’s really not that complicated. Even the S and P two-hundred-day moving average can be a pretty reliable predictor of the market: if the current index is higher than the preceding average, the market is likely to be bullish; if lower, bearish. Or we can make a prediction, based on twenty years of data, that if tin is at this price and the yen at that, then it is more likely than not that the DAX will be here. Obviously we have vastly more pairs of averages than that to work with – several millions of them – but the principle can be simply stated: the most reliable guide to the future is the past. And we only have to be right about the markets fifty-five per cent of the time to make a profit.
‘When we started out, not many people could have guessed how important algorithmic trading would turn out to be. The pioneers in this business were frequently dismissed as quants, or geeks, or nerds – we were the guys who none of the girls would dance with at parties—’
‘That’s still true,’ interjected Quarry.
Hoffmann waved aside
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