But I thought it would be useful to ramble a bit about the experience of entering a new market.
My perspective here is professional trading, but the concepts are valid for individuals too
1/n
First, you've got to work out whether it's worth expending time, effort, and money in a new market.
There's an opportunity cost associated with looking at and implementing new things.
So you put together some "high-level business case" to see if it stacks up
2/n
This can be tricky because you don't know what you don't know.
So you seek out people who are doing it and ask them to share some of their experiences.
If you are serious, people will generally be very happy to talk to you. This game isn't as secretive as you might think.
3/n
This also helps you set up good relationships for sharing ideas and research in the future, which is important too.
You've also got to do some reading, some trading, some simple quant analysis to put together a quick picture of what is achievable on various timeframes.
4/n
You want to be careful you don't get stuck at this step.
You don't need to get everything right.
There's a lot you don't and can't know at this stage.
You want to have a rough idea of what would be achievable now, in six months' time, in a year's time...
5/n
You'll immediately notice that many of the tools, intuitions, and skills you have picked up trading other markets aren't of any use here.
All of the exchange interfaces are unfamiliar
You won't know all the wrinkles of the margin calcs
You won't know how to calculate pnls
6/n
You won't have execution algorithms
You won't have a consolidated view of exposures
You won't have your risk models and reports
You won't have a picture of the big players and flows
You won't have instincts around delta
You won't have instincts around where to lay off risk
7/n
That's OK.
You build up these things over time.
And in a way, it's invigorating to be flying the plane without all the machines... at least for a while.
The tools you buy and build
The skills and intuitions you obtain over time by doing the reps and asking good q's
8/n
But you've got to have a realistic roadmap.
I trade fast stat arbs in futures markets.
But if we jumped in trying to do fast x-venue stat arbs in crypto from day 1 we'd make an almighty mess.
You've got to learn the game on more forgiving trades. first.
9/n
Thankfully there are many quite "forgiving" trades that you can put on to start working things out.
Simple basis arbs are a good place to start.
We started getting them on a few venues & accounting for every aspect of pnl + margin use.
Prioritize learning.
10/n
You'll grow familiar with the platforms, you'll start defining processes, clarifying requirements for the tools you need to buy and build, getting an idea of how to upskill the traders (and yourself!)
Iterative improvement is essential. You don't know what you don't know
11/n
Over time, you'll start to improve your operational effectiveness, grow your intuition and build out your capability.
But you need to start with the easy stuff. Stuff that you can trade fairly mechanically.
Don't bet on intuition and skills you don't have yet!
12/n
Right now, we're running quite a few simple implementations of different ideas.
All 80% solutions...
Spreadsheets, screeners, simple models, "bums in seats around the clock" stuff.
In this market, basic implementations of good ideas can get you a long way.
13/n
Prioritizing implementation over perfection is important.
But so is not making an almighty mess or expensive mistake.
So balance is important.
And it's important to actually *iteratively improve* rather than keep chasing shiny new 80% solutions for new things.
14/n
The key things:
Be realistic. Everything is new and takes time. Start easy. Pick forgiving trades to start. Do the reps, build your knowledge and intuition.
The market is such that the very simplest implementation of a good idea is really all you need right now.
15/n
But a balanced approach is required between:
- Implementing new ideas fast with 80% solutions
- Not making an almighty mess.
So you want to have some systematic approach to passing over everything, iteratively improving and building out capability.
16/16 Fin.
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For most of my time, I just thought of tail hedging as the "cost of entry".
A "ticket to the dance" if you like.
You can't predict what happens in the tails - so pay up to cover them & go play hard in the peak of the bell curve, where your tools and models are most valid.
If you're a good trader, you'll tend to find that your highest expected return opportunities appear after massive moves.
Disconnections happen when others risk models are flashing red and they are FORCED to trade (rather than want to).
In the "win-lose" games of active trading, your "edge" comes from:
- Buying from someone too cheap
- Selling to someone too expensive
At least on average.
To do this, you need to know who you are playing against.
🧵on "edge", where to find it, and how you can compete 👇
1/n
If you are a market maker, it is relatively clear to understand who you are trading against.
If you're a positional trader, it is perhaps less clear.
On a trivial level, you're probably trading with a market maker.
2/n
But understand that "the market line" is set by the supply/demand pressures of other aggressive traders.
- End users (wealth mgmt, retail)
- Aggressive prop traders doing short term risky arbs
- Informed positional traders with pricing models + (maybe) info advantages
3/n
Tips for doing financial analysis with OHLC bar data.
Many of you doing quanty analysis with OHLC bar data.
Here's some boring but crucial stuff you need to understand if you're doing that. 👇👇👇
1/n
An OHLC bar represents a summary of trades that happened in a certain period.
Open -the price of the first trade in the period
High - the highest price traded in the period
Low - the lowest price traded in the period
Close - the price of the final trade in the period
2/n
For daily stock data, the Close price will be the price arrived at in the closing auction.
This is set by balancing the supply and demand of MOO (market on close) and LOO (limit on close) orders to maximize the amount of stock traded.
3/n