Well it's been a while since I've given you an update on what I'm up to.
I won't discuss performance in too much detail, as I'll probably try and give you a few figures at the end of the year (plus my normal massive blogpost for the UK tax year ending in April). Fundseeder, which wasn't working for a while but is now, says I'm up 5.2% for the year. For the last couple of months I'm down slightly, and my drawdown remains at ~15%. For the UK tax year I reckon I'm at about -5%.
And yes I did lose a bit in November when the good news came out, but against that my long only portfolio went absolutely gangbusters.
That's because I've gradually been rerisking it back into equities since mid March (I'm down to 10% risk allocation in bonds from a high of 54% on the 20th March, and I've reduced my cash to a minimum), buying cheap UK equities, and higher yielding ETFs, plus it's always had a bit of a value tilt (you can get the current target risk allocations
here).
So not a huge surprise that my long only stuff did well last month. Since the start of the tax year I probably made something like 20% on my long only stuff even after , and the futures trading knocked about 1% off that. Net-net, that's pretty good. Compare and contrast to 2019-20 where long only was down 15% and futures trading improved it to -6.6%.
Risk is pretty low, hovering between 9% and 12% annualised. So there's no strong conviction for my positions.
Code:
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Risk report produced on 2020-12-03 23:36:29.996169
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Total risk across all strategies, annualised percentage 11.8
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Risk per strategy, annualised percentage
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risk
_ROLL_PSEUDO_STRATEGY 0.000000e+00
medium_speed_TF_carry 1.200000e+01
ETFHedge 1.555608e+11
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Instrument risk
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daily_price_stdev annual_price_stdev price daily_perc_stdev annual_perc_stdev point_size_base contract_exposure daily_risk_per_contract annual_risk_per_contract position capital exposure_held_perc_capital annual_risk_perc_capital
EUROSTX 53.8 861.4 3486.0 1.5 24.7 9.0 31476.0 486.1 7778.0 -2.0 345002.7 -18.2 -4.5
GAS_US 0.1 1.6 2.5 4.0 64.3 7436.4 18695.0 751.5 12024.0 -1.0 345002.7 -5.4 -3.5
V2X 0.8 12.3 21.6 3.5 56.8 90.3 1954.8 69.4 1110.3 -5.0 345002.7 -2.8 -1.6
BOBL 0.1 2.2 135.3 0.1 1.6 902.9 122129.7 122.4 1958.1 1.0 345002.7 35.4 0.6
WHEAT 6.7 107.0 599.2 1.1 17.9 37.2 22281.2 248.6 3977.7 1.0 345002.7 6.5 1.2
US10 0.3 5.4 137.7 0.2 3.9 743.6 102424.2 249.4 3989.8 1.0 345002.7 29.7 1.2
AUD 0.0 0.1 0.7 0.6 9.3 74363.5 54657.2 319.0 5103.7 1.0 345002.7 15.8 1.5
KR3 0.1 0.9 111.6 0.1 0.8 680.8 75956.7 39.3 628.2 9.0 345002.7 198.1 1.6
EDOLLAR 0.0 0.4 99.5 0.0 0.4 1859.1 185016.5 46.2 739.8 8.0 345002.7 429.0 1.7
MXP 0.0 0.0 0.0 0.7 11.2 371817.7 18386.4 128.3 2053.3 3.0 345002.7 16.0 1.8
JPY 0.0 0.0 0.0 0.5 8.2 9295442.6 89087.5 457.4 7319.2 1.0 345002.7 25.8 2.1
OAT 0.4 6.0 167.4 0.2 3.6 902.9 151194.9 339.1 5425.2 2.0 345002.7 87.6 3.1
PLAT 18.7 299.9 1039.1 1.8 28.9 37.2 38635.6 696.8 11149.2 1.0 345002.7 11.2 3.2
SOYBEAN 7.0 112.1 1039.2 0.7 10.8 37.2 38641.2 260.4 4166.6 4.0 345002.7 44.8 4.8
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Correlations
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KR3 US10 JPY SOYBEAN AUD PLAT EUROSTX OAT GAS_US BOBL WHEAT MXP EDOLLAR V2X
KR3 1.00 0.10 0.03 -0.05 -0.20 -0.05 -0.07 0.15 -0.01 0.08 -0.17 -0.17 0.07 0.10
US10 0.10 1.00 0.33 -0.12 -0.18 -0.13 -0.44 0.50 -0.11 0.57 -0.20 -0.35 0.92 0.31
JPY 0.03 0.33 1.00 0.13 0.31 0.27 -0.21 0.24 -0.07 0.22 0.04 0.14 0.29 0.05
SOYBEAN -0.05 -0.12 0.13 1.00 0.35 0.20 0.23 -0.07 -0.06 -0.17 0.35 0.31 -0.10 -0.22
AUD -0.20 -0.18 0.31 0.35 1.00 0.53 0.49 -0.14 -0.19 -0.19 0.24 0.63 -0.18 -0.58
PLAT -0.05 -0.13 0.27 0.20 0.53 1.00 0.23 -0.11 -0.11 -0.17 0.15 0.28 -0.10 -0.32
EUROSTX -0.07 -0.44 -0.21 0.23 0.49 0.23 1.00 -0.16 -0.11 -0.33 0.15 0.51 -0.44 -0.71
OAT 0.15 0.50 0.24 -0.07 -0.14 -0.11 -0.16 1.00 -0.11 0.90 -0.27 -0.16 0.45 0.12
GAS_US -0.01 -0.11 -0.07 -0.06 -0.19 -0.11 -0.11 -0.11 1.00 -0.11 -0.03 -0.17 -0.03 0.07
BOBL 0.08 0.57 0.22 -0.17 -0.19 -0.17 -0.33 0.90 -0.11 1.00 -0.23 -0.22 0.52 0.23
WHEAT -0.17 -0.20 0.04 0.35 0.24 0.15 0.15 -0.27 -0.03 -0.23 1.00 0.26 -0.21 -0.15
MXP -0.17 -0.35 0.14 0.31 0.63 0.28 0.51 -0.16 -0.17 -0.22 0.26 1.00 -0.38 -0.54
EDOLLAR 0.07 0.92 0.29 -0.10 -0.18 -0.10 -0.44 0.45 -0.03 0.52 -0.21 -0.38 1.00 0.32
V2X 0.10 0.31 0.05 -0.22 -0.58 -0.32 -0.71 0.12 0.07 0.23 -0.15 -0.54 0.32 1.00
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END OF RISK REPORT
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In terms of what I'm actually doing with my life, I've had quite a few webcasts (which mostly replaced planned physical conferences). One of these was interesting, as I had to create my system in a weird GUI environment which then got parsed into MT4. So if you're wondering if it's possible to run a continous futures trading system in MT4, it is.
Much to my surprise (as university funding isn't in great shape), I've been asked to teach again next year, so there is some prep to do. There will be a lot of remote students so I have to try and make things a bit more interesting. Perhaps a live video of me backtesting a trading strategy? Or should I go down the youtube guru trader route and post videos of me driving my car:
https://vcarsdna.com/images/vehicles/76/large/85c897154bfad55ab6ca78a3b5dc212d.jpg
(This isn't my car, but it's the same age, model and colour. Actually, it's in better condition than my car and definitely cleaner. My wife has a nicer car. But it's not
that nice).
Mostly though I've been writing code. I basically finished 'stage 4' of working on
psystemtrade. Now I'm doing quite a lot of refactoring, and documentation writing
(Don't worry, I'm not turning into a proper programmer. I still have no tests)
I also have a list of relatively small bits of functionality I want to add. After that, and hopefully not too far into next year I will start some very serious pieces of research into new trading systems. I'm limiting myself to futures, but there is still quite a lot of space I can fill with just futures ideas. I've talked a bit about them before but here's a list of the main ones:
- Optimise positions for limited capital
- Short term mean reversion strategy, possible with a daily trend following overlay
- Intramarket spreads: probably on VIX or V2X, Eurodollar, Crude, maybe some Ags
- Intermarket spreads: eg across 10 year bond futures, V2X vs VIX
- Cross sectional momentum
A challenge I'm still working on is how to trade a particular instrument as both an intramarket spread and an outright position (which will also cover intermarket spreads). The issue is my roll logic, and there are no easy solutions. I think the simplest is to partition the curve and say that these contracts are for spreads, whilst these are for outrights.
Refactoring in itself doesn't make money (as any CTO will tell you), but will create a system that is flexible enough to trade all of these ideas. My hope is that these newer systems will improve the consistency of my trading profits a little, and make more efficient use of the cash in my trading account.
Those improved profits will be nice, because the global cut in dividends has obviously hurt my cash (rather than mark to market) income, and it may take a few years to rebound.
For this year at least I did have a large cash pile from futures trading profits last year which I knew I would probably need as a buffer to avoid having to sell equities at depressed prices. I've also made more money from other stuff and book royalties than in previous years. In fact in 2020 for the first time I have made enough money in royalties that it qualifies as a proper job, albeit not a super high paid one. But given I haven't written any books this year, my hourly rate is effectively infinity. So that's pretty good.
I also plan next year to start thinking about my next book. I have a random list of ideas, which change in order of preference and content over time. I'd be curious to know which of these you guys think will sell a million copies and make me enough money to buy a youtube guru style car. Failing that, which you would like to read yourself:
- a sort of Talebian style treatsie on uncertainty in financial markets, but with more formulas and practical advice
- a book on ETF investing, factor investing for dummies. You know how my 3rd book is a simpler version of my 1st book? This would be a simpler version of my 2nd book, 'Smart Portfolios'. Love the symettery.
- a book on quantitative futures trading. Think Schwager with more equations, and a bit of 'the global futures almanac' thrown in.
- a book on writing and backtesting trading strategies in python. The differentation here is it won't use a predefined package, like
Andreas' book uses zipline. Just pandas and the normal numpy/scipy stack. With a heavy focus on uncertainty and doing things properly.
- a textbook for my
university course
- a sort of popular book on human and computer trading, and doing both
Hope the rest of the year goes okay. All other things considered, 2020 is starting to improve I feel.
GAT