Using our ecosystem framework as a guide, this is Alphacution's mechanical interpretation of how Jim Simons and the RenTec team gains a persistent edge on the competition; a master class of sorts that may be useful to your trading strategy development, as well...
Inspired by reading Igor Tulchinsky's books - albeit a couple years late - Alphacution digs into some modeling to uncover a real world application of The UnRules...
Inspired by Renaissance Technologies - as described in Greg Zuckerman's book, "The Man Who Solved The Market: How Jim Simons Launched The Quant Revolution - Alphacution leverages the concept of "factor dimensionality" to make a significant enhancement to its ecosystem map framework.
"Quality means doing it right when no one is looking."Henry Ford I couldn't find the exact reference, but sometime between about 2010 and 2015 I wrote (for TABB Group) that when the market regime eventually shifted from the core drivers of the long, low volatility period of the post-GFC era, many quant models would become disoriented and their performance would suffer. This is simply because the behavioral cues of the new chapter would not be embedded in the historical market data of the prior period upon which those models had been trained. Well, that scenario finally played out this year... So, instead of following the well-worn tradition of preparing a lengthy "Year in Review" post on market highlights and lowlights as we bring this historically bizarre and disorienting year to a close, I thought to let a series of illustrations from some of the world's most legendary players show you symbols for how their year appears to have gone (through Q3 2020) and, by implication, how broad groupings of strategies [...]
"The mind is not a vessel to be filled but a fire to be kindled.."Plutarch The comment has been made here before, likely more than once: As we go along the path of our research, our ability to see - to interpret the data, and the shapes that are formed from that data - tends to improve. This is not only true of newer shapes forged from amalgamations of newer data - and additional sources - but of older shapes, as well. Recently, I stumbled over a series of charts first published in July 2019 in the Feed post, "Ranking Strategy Speed for Top Quants, Market Makers," which remains among our more fascinating discoveries. Therein, we compared average stock position sizing for a list of notable trading and hedge fund firms, from Renaissance Technologies (RenTech), D. E. Shaw, and Two Sigma to Jane Street, Hudson River Trading (HRT), and Tower Research Capital (TRC). Citadel Securities and Susquehanna Securities were in the mix, as well. The rankings were roughly delineated between [...]
"There's a point, seven thousand RPM, where everything fades. The machine becomes weightless, just disappears. And all that's left is a body moving through space and time. Seven thousand RPM." - Carroll Shelby In the early days of Quantlab, we suspected that there were stock trading signals in option data. Our futures program had waaaay too much slippage in it, and we needed to make a shift into a strategy with far less position concentration if we were ever going to survive. It was 1996 - or maybe it was 1997 - and the biggest challenge we faced in making such a shift was finding clean historical option data. That's when we met Sandor Strauss, Renaissance Technologies' first data guru... My brother recently gave me a copy of Greg Zuckerman's book, "The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution," for Christmas. Not being someone who allocates much time to reading hard-bound books, it sat at the corner of my desk, beckoning for the right moment to [...]
"Education is all a matter of building bridges." - Ralph Ellison How trading firms, hedge funds and asset managers scale - as in, scale assets under management (AUM) or proprietary capital, headcount, data, technologies, and other operational ingredients to support a growing mix of market strategies when their initial market strategies reach boundaries of performance, liquidity, inventory or competitive challenges - is a significant point of fascination here at Alphacution. This is because scaling - real, sustainable scaling - requires simultaneous and interdependent success in both operational and trading strategies. Scaling also becomes a critical issue to measure and monitor from a market macrostructure perspective if you believe the hypothesis that the capacity of alpha is finite, as we introduced in the Feed post, "The Privatization of Alpha." Because if you believe that there are no constraints on the capacity of outperformance - or, "alpha" - then there is no need to pay attention to how various asset managers scale their strategies and their overall businesses. In this scenario, there [...]