Thread 🧵 CTAs are having a good year so far with Top 50 +12.8% YTD, according to BarclayHedge. But let's not forget that from 2004 to 2021, top 20 CTAs returned about 2.5% on the average.

"But, but, but, convexity, alternatives, etc." #commodities #CTA #trading $SPX
This is another form of tail risk hedging but with higher intrinsic risk than using other tail risk protection method. The 80s and 90s aren't coming back, when CTAs using TF discipline profited from naïve TA traders in commodity futures. Nowadays there are no such fools en masse.
CTAs nowadays are the parties who assume hedging risk of producers. Producers have become way more sophisticated then in 80s and 90s. They won't pay fortunes to hedge when they are the ones who know the market direction. The game for CTAs is difficult.
I won't be surprised if they give back most of their profits from this year when commodity trends reverse. Mathematically, this is one problem: In the distant past, there was serial correlation in commodity returns. That changed in the last 20 years.
As Jim Simons explained well, people used a 20-day sma and due to positive serial correlation they profited. priceactionlab.com/Blog/2015/09/j…
After serial correlation turned negative, CTAs started using breakouts, or increased the ma periods. As any trader with SITG knows, slow moving averages have long lags and when trends reverse, they are slow to adapt.
Then CTAs started using convoluted positions size schemes based on volatility and that further made the systems vulnerable to market swings and sudden crashes in volatility. The performance numbers for top 20 from 2004 to 2021 speak for themselves.
IMO, the golden era of CTAs is long over. There are now other more efficient schemes for equity investors to buy convexity using options and other tools. Options are hard and there is a natural barrier to entry. CTAs and TF have no barrier to entry but fewer counter-parties.

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More from @mikeharrisNY

Jan 22
Thread about trading strategy and fund performance analysis. #tradingstrategy #funds

Advanced performance analysis is fine but nothing beats common sense. Below are some common sense ways of analyzing strategy and fund performance.
1. Annualized return

The strategy must offer an acceptable annualized return subject to constraints. Very low annualized return is undesirable but also high annualized return that comes at high risk is also undesirable and even more so.
Note that even if annualized return is low, the strategy may be acceptable due to the leveragability it offers. Often is better to leverage 2X a strategy with a smooth equity than use one w/o leverage but with volatile equity.
Read 18 tweets
Jan 5
In strategy development, false positives (Type-I) can cause losses but false negatives (Type-II) can cause missed profits. This problem cannot be solved quantitatively at a high level. The answer is experience and no algo has that (except if it's a sophisticated expert system.)
A false positive is when you select a strategy that was the result of data snooping or over-optimization but the Sharpe, t-stat or p-value looked good. These may fail immediately but in some cases can remain profitable for many years due to luck of persisting market regimes.
A false negative is a missed discovery because among other things someone used a procedure for adjusting Sharpe, p-values of t-stats that ruled out the strategy as one generating returns from distribution with zero mean. Again, a regime change could make the strategy profitable.
Read 6 tweets
Nov 28, 2021
Short thread. I see some charlatans and especially one of most notorious, which I won't name, arguing for high probability of rebound tomorrow in stocks. I posted a backtest yesterday with results from shorting at close of Friday if larger than 2% drop.
These backtests have small samples and particular one shows, as expected, there is higher frequency of rebounds on Mondays after a large drop on Fridays, of around 60%. Now, frequency in historical data hardly translates to probability and also even then, 60% probability is low.
If you're aren't going to repeat this trade for several decades, then you may experience a large drawdown until the expectation converges, if ever. These charlatans don't understand probability doesn't translate to expectation for the next move.
Read 5 tweets
Nov 28, 2021
Thread. We consider the question. Why regulators in USA are not acting to eradicate the cryptocurrency and NFT pandemic? In other countries they have already taken action.
The answer is as always complicated because everything in Western World has become so complicated there may be no answers to even basic questions: Complexity has increased beyond bounds.
When complexity is extreme, the only possible answers are extreme. This is primarily due to "curse of dimensionality." See slides 24 - 33 of my Dec 2018 M4 presentation in NYC. priceactionlab.com/Blog/2018/12/m…
Read 11 tweets
Nov 11, 2021
Thread now that the market is closed. 🚀

Let's talk about going short after another permabear fund announced shut down.

But before that, I'll talk briefly about going to the casino. It's related in a way.
I don't like casinos because I don't like to be around so many losers. The energy is bad. Casino players essentially go short the casino with tiny odds to win.

Last time I visited one was many years ago. I made windfall profits with a martingale system playing the roulette.
I cashed the ships and tried to get out. A few waitresses blocked my way offering free drinks and a man in black suit offered me a room at the hotel. I had to find an exclude to leave as the pressure to stay was mounting. Why? Because they knew if I stay long enough, I'd lose.
Read 12 tweets
Oct 24, 2021
1/ Overall it's interesting but there is a problem. The thread compares an additive process to a multiplicative one. Similar to those comparing number of deaths from ladder falling to those from virus infections. You simply can't compare these two processes.
2/ Save the fact that it's irrelevant to trading/investing. The payoffs are random variables and both additive or multiplicative can result to ruin/uncle point despite the positive "expectation" if there isn't enough capital to cover losses from drawdown.
3/ The Kelly criterion results in way excessive risk and although there is no "ruin" theoretically there can be "uncle point". Thus, although a nice theoretical exercise, this has little relation to investing, trading and risk management.
Read 6 tweets

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