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Algorithmic Trading

A place for redditors to discuss quantitative trading, statistical methods, econometrics, programming, implementation, automated strategies, and bounce ideas off each other for constructive criticism. Feel free to submit papers/links of things you find interesting.
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Ethereum Classic

Ethereum Classic is an open, decentralized, and permissionless public blockchain, that aims to fulfill the original promise of Ethereum, as a platform where smart contracts are free from third-party interference. ETC prioritizes trust-minimization, network security, and integrity. All network upgrades are non-contentious with the aim to fix critical issues or to add value with newly proposed features; never to create new tokens, or to bail out flawed smart contracts and their interest groups.
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Unathi Kwaza RT from Wendy Knowler: FCSA warning re scam forex trader “Michael Curter”; he of the Facebook ads. “Always check that a person is registered with the FSCA..and for what category of advice. Some are registered to advise on a low risk product but offer services of a far more complex a...

Unathi Kwaza RT from Wendy Knowler: FCSA warning re scam forex trader “Michael Curter”; he of the Facebook ads. “Always check that a person is registered with the FSCA..and for what category of advice. Some are registered to advise on a low risk product but offer services of a far more complex a... submitted by TweetArchiveBot to LibertyRSA [link] [comments]

Former investment bank FX trader: some thoughts

Former investment bank FX trader: some thoughts
Hi guys,
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Part I
  • Why it matters
  • Position sizing
  • Kelly
  • Using stops sensibly
  • Picking a clear level

Why it matters

The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.

Capital and position sizing

The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".

https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:

https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.

Kelly Criterion

If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
  • How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
  • What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.

How to use stop losses sensibly

Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.

Picking a clear level

Where you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.

If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.

https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.

https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
  1. Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
  2. Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
  3. Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out.
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.

Coming up in part II

EDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Risk:reward ratios
Risk-adjusted returns

Coming up in part III

Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

[Guide] Hal-hal esensial yang wajib dimiliki mahasiswa.

Selamat pagi! Salam mahasiswa!
Terinspirasi dari komen-komen di thread gua sebelumnya, gua ingin compile beberapa must-have tools, stuff, and websites untuk kalian yang baru saja jadi mahasiswa atau sedang menjalani studi.
Gue akan memisahkan ke beberapa kategori, yaitu Wajib Punya, Wajib Punya Untuk Anak [Jurusan], Boleh Punya, Cukup Tau, dan Jangan Pernah Sentuh. Dalam kategori tersebut akan diisi dengan kombinasi apps, website, dan alat-alat fisik. Untuk yang bersifat bajakan, sorry to say gua gak akan link di sini, kecuali Sci Hub atau Gen Lib.
Bagi redditor yang bukan anak psikologi, tolong bantuin gua ya dengan comment berisi suggestion kalian.

WAJIB PUNYA

  1. WhatsApp, LINE, dan sometimes Telegram. : Ya menurut lo aja deh, hari gini masih SMS?
  2. Flash drive : Get an 8GB stick, walaupun sekarang udah serba digital, kadang dosen masih minta print-out tugas. Plus, tukang fotokopi pasti sibuk dan gak ada waktu buka e-mail (walaupun ada), akan lebih praktis kalau data yang mau lo print atau submit pindahin dulu ke sini. Side note : Untuk anak DKV, Arsitektur, Desain Produk, Musik, dan Film, sepertinya kalian wajib beli external hard-drive minimal 500GB. Kalau bisa SSD ya, biar file terus protected (tapi agak mahal).
  3. Google Drive dan isinya (Sheets, Docs, Draw, Slides) : Lo akan mobile for most of your campus life, GDrive gunanya bukan hanya sebagai backup tapi sebagai base of operations dari perkuliahan lo. Separate folders into semesters, lalu di dalamnya bikin folder per matkul, dan di dalamnya pun ada folder buku, tugas, class notes, and etc.
  4. Google Calendar : Start planning through this app. Its highly underrated and I suggest you take time and learn how GCal works. Most people only use this after they started working, getting a head start is always better.
  5. Mendeley atau reference manager lain : Lu akan menghabiskan waktu 4 tahun baca artikel ilmiah, kadang mereka suka aneh formatting filenya kalo di-download dan mereka udah pasti gak appealing untuk di-save di laptop. Mendeley cuts off all of the problems and puts all of your references in one place. (Available on desktop and mobile)
  6. Google Scholar : Berhubungan dengan sebelumnya, Google Scholar akan menjadi wikipedia elu di perguruan tinggi. You will access this site almost every day in uni.
  7. Genesis Library : Adalah perpustakaan terlengkap di jagad internet. Gak usah beli textbook kalau lu gak mampu, download aja di sini.
    1. Side points : Perpusnas punya akses e-book gratis pula, mostly koleksi mereka ada di situ. Appnya bisa dicari di Google Play Store (iOS setau gua belom ada).
  8. Sci-hub : This is the scalpel of academia, the tool of a true mahasiswa. Sometimes lo akan ketemu artikel yang BAGUS, tapi sayang lo harus bayar ke publishernya. Nah, this bypasses that and you can have the PDF for FREEEEEEEEEEEEEEEEEEEEEEEEEE. Add extensionnya https://github.com/allanino/sci-hub-fy
  9. E-book manager like Calibre (for PC and iOS) and Aldiko (for Android) : Pretty self-explanatory karena most of the time mahasiswa tingkat awal itu gak tau cara manage folder di laptop.
  10. m-Banking app from your bank : Sekarang apa-apa sudah serba digital, belom lagi kalau lo butuh bayar-bayar atau patungan sama temen. Dengan adanya mbanking app, lo udah gak butuh ke ATM. Bahkan, sekarang mbanking bisa bayar ke OVO, Gopay, or Shoppee Pay lewat QRIS.
  11. Go-Jek or Grab (and OVO) : Kemana-mana dan bayar apa-apa lebih gampang.
  12. Kartu emoney, Flazz, Brizzi, dan sejenis : Silahkan beli salah satu dari kartu ini untuk kalian yang harus menggunakan moda transportasi seperti KRL atau Transjakarta. Plus, very handy untuk beli air putih di Indo/Alfamart. Kalau bisa yang satu jenis dengan bank kalian, agar top-up dapat dilakukan secara mudah di ATM atau app mbanking (bagi yang memiliki NFC hpnya)
  13. Cheap OEM earphones : You will have some solace from annoying pieces of shit when you're reading or doing assignments. Browse through any ecommerce site and search for "headset samsung/iphone grosir" and buy 10.
  14. Masker : Well, duh.
  15. Zoom/Skype/Hangouts/Microsoft Teams : Please check on your faculty's specification, sekarang lagi pandemi and I don't think you guys are going back to school any soon.
  16. Powerbank : Trust me, you will forget to charge your phone. One powerbank on the ready will be a life saver, especially during late nights.
  17. OpenOffice or LibreOffice : I do not condone the piracy of a certain word processing software. Get open-source and just relax. Alternatively, you can go all-out with Google's existing apps inside Drive.
  18. JASP : I also do not condone the piracy of a certain statistics software.
  19. Canva : Untuk anak-anak non-design yang gak bisa design, ditambah gak punya duit untuk hire designer (ya menurut lo), please take time to learn Canva. I would recommend GIMP a few years ago, but Canva has been gold standard of designing for non-designers.
  20. Sumatra Reader : Lighter and more superior version of Adobe Reader.
  21. 7zip : Lighter and superior version of WinRAR.
  22. CamScanner : For scanning documents. Available on iOS and Android
  23. Condoms : Just, bring it.
  24. Kartu Perpusnas
  25. MSDN : Kadang Microsoft kerjasama dengan kampus, check on your faculty.
  26. Tar tambah lagiiiii.......

WAJIB PUNYA UNTUK ANAK.....

Teknik
  1. Kalkulator scientific : Bisa cari di toko buku atau e-commerce. Get Texas Instrument or Casio.
  2. KOPI SACHET
  3. Meteran
  4. nanti kali ya
Arsitektur
  1. Kopi sachet yang banyak
  2. Kotak P3K
  3. Penggaris segitiga atau meteran
MIPA
  1. Graphic Calculator
Psikologi
  1. APA Publication Manual : Sebagai S.Psi gua akan menekankan PENTINGNYA MEMILIKI PDF INI DI SEMUA DEVICE ELU. Pelajarin dan cross-check semua style tulis dengan editorial style APA. Dosen PASTI BAKAL PERIKSA GAYA TULISAN ELU DENGAN APA.
  2. KBBI : Dosen Psikologi paling terkenal dengan penulisan dan artikulasi kata, tolong pelajari bentuk baku kata-kata bahasa kita.
  3. 3D Brain : Untuk bantu Psiko Abnormal dan Faal.
Hukum
  1. Buku KUHP dan KUHPER, e-book or printed.
  2. Black Law
  3. UU yang berkaitan dengan kelas, e-book or printed.
  4. Printer dengan tinta isi ulang alias nyuntik
CompSci, Teknik Informatika, or Sistem Informatika
  1. Git Student Pack

BOLEH PUNYA

  1. Spotify Premium : Check if your school is eligible for student discount! I do not condone using modified APK for Spotify Premium.
  2. Audacity : Boleh lah punya kalau mau coba-coba bikin podcast.
  3. Da Vinci Resolve : Kalian akan sewaktu-waktu dapet tugas buat edit video, either untuk kelas atau organisasi. Ini software open source yang lumayan powerful untuk editing.
  4. SSDs for laptops : This is me speaking from experience, you'll need this if your risk of being in an accident is high. Upgrading to an SSD is 0-1, not only you get great booting and transfer speeds, but your data is almost always protected if amit-amit ketabrak atau laptop kenapa-napa.
  5. Powerstrip : Ini bisa wajib, bisa enggak. Kadang berguna kalau kalian nugas di cafe, tapi kalian gak mati juga kalau gak punya.
  6. Write Monkey : Ini dapat meng-enhance pengalaman kalian menulis, gue menggunakan program ini saat skripsi. Fungsinya cuma satu : Biar nulis lebih enak. Cocok bagi yang jurusannya rajin ngetik. Again, lo gak akan mati kalo gak punya ini.
  7. Eventbrite : Cocok buat yang pengen cari group activities atau seminar gratisan.
  8. TIX.ID : For the time being, jangan ke bioskop dulu. Tapi TIX suka banyak promo buy1get1. Lumayan buat irit duit.
  9. Trello or Asana : Nah, sebenarnya ini wajib untuk orang kantoran (depends industrinya), tapi menurut gua kalau kalian coba aja pelajarin agile project management, mungkin performance group akan lebih naik. Ditambah ini lagi pandemi, nugas akan lebih gampang menurut gua dengan ini. Kakak-kakak yang udah kerja di kantor agile pasti bisa jelasin.
  10. Jobstreet, Kalibrr, JobsDB, Glints : For work opportunities.
  11. Halodoc : Truth be told, this app have saved my life multiple times. I would suggest a healthy diet, but having this on your phone will not hurt one bit.
  12. Pisau lipat Victorinox : Handy untuk yang berencana jadi anak alam atau bocah camping. But basically handy untuk segala situasi, sih.
  13. Aplikasi sekuritas : Bisa mulai belajar, setau gua macem MNC Sekuritas bisa mulai trading dengan Rp100.000.
  14. Discord : Lumayan handy untuk jadi basis chat angkatan. Tapi, mereka lebih cater ke gaming crowd, walaupun fiturnya sebagus Slack Enterprise, tapi entah kenapa susah banget penetrate mainstream user.
  15. To be added later...........

CUKUP TAU

  1. Netflix : Bisa patungan sama temen-temen. I don't suggest buy shady accounts.
  2. Premier League app : Seru loh bikin liga fantasy sama temen-temen.
  3. GrabKios : Lumayan bisa jual pulsa di kampus.
  4. Saran minum oleh theblackmandarin
  5. To be added later...........

JANGAN PERNAH SENTUH

  1. Kredivo dan any P2P lending app : Tolong banget jangan kejebur sama trap ini. Kalian masih mahasiswa, belom punya penghasilan tetap.
  2. PayTren or any other MLM apps : Idem
  3. Judi bola : Idem.
  4. Rokok : Idem
  5. Forex/Crypto : Idem
  6. Dota 2 : Udah gak usah sentuh.
  7. Mobile Legend : Buang-buang waktu push rank, IP lo gak naek juga.
  8. Amfetamin : Gak baek ngedrug muda-muda.
  9. Red Bull : Gak baek, bisa gak tidur.
  10. Kopi ABC/78C/botolan : Ini sama kayak Red Bull, udah pasti gak tidur.
  11. To be added later...........
Segitu dulu guys, tolong ya kakak-kakak yang sudah lulus mohon ditambah. Terima kasih!
EDIT 1 : Nambahin banyak BUANGET. Thanks mie-sedaap elonelon theblackmandarin debukosmik JanganLupaSkripsian didunianyata ysupr selemenesmilesuponme ichhassesommer ANJINGHARAM AnjingTerang lukuntul imamsupriadiBPK pm-me-your-nenen
submitted by roflpaladin to indonesia [link] [comments]

ATO Australian tax treatment for options trades 🇦🇺

I am posting this as I hope it will help other Australian options traders trading in US options with their tax treatment for ATO (Australian Tax Office) purposes. The ATO provides very little guidance on tax treatment for options trading and I had to do a lot of digging to get to this point. I welcome any feedback on this post.

The Deloitte Report from 2011

My initial research led me to this comprehensive Deloitte report from 2011 which is hosted on the ASX website. I've been through this document about 20 times and although it's a great report to understand how different scenarios apply, it's still really hard to find out what's changed since 2011.
I am mainly relating myself to the scenario of being an individual and non-sole trader (no business set up) for my trading. I think this will apply to many others here too. According to that document, there isn't much guidance on what happens when you're an options premium seller and close positions before they expire.
Note that the ATO sometimes uses the term "ETO" (Exchange Traded Option) to discuss what we're talking about here with options trading.
Also note: The ATO discusses the separate Capital Gains Tax ("CGT") events that occur in each scenario in some of their documents. A CGT event will then determine what tax treatment gets applied if you don't know much about capital gains in Australia.

ATO Request for Advice

Since the Deloitte report didn't answer my questions, I eventually ended up contacting the ATO with a request for advice and tried to explain my scenario: I'm an Australian resident for tax purposes, I'm trading with tastyworks in $USD, I'm primarily a premium seller and I don't have it set up with any business/company/trust etc. In effect, I have a rough idea that I'm looking at capital gains tax but I wanted to fully understand how it worked.
Initially the ATO respondent didn't understand what I was talking about when I said that I was selling a position first and buying it to close. According to the laws, there is no example of this given anywhere because it is always assumed in ATO examples that you buy a position and sell it. Why? I have no idea.
I sent a follow up request with even more detail to the ATO. I think (hope) they understood what I meant now after explaining what an options premium seller is!

Currency Gains/Losses

First, I have to consider translating my $USD to Australian dollars. How do we treat that?
FX Translation
If the premium from selling the options contract is received in $USD, do I convert it to $AUD on that day it is received?
ATO response:
Subsection 960-50(6), Item 5 of the Income Tax Assessment Act 1997 (ITAA 1997) states the amount should be translated at the time of the transaction or event for the purposes of the Capital Gains Tax provisions. For the purpose of granting an option to an entity, the time of the event is when you grant the option (subsection 104-20(2) ITAA 1997).
This is a very detailed response which even refers to the level of which section in the law it is coming from. I now know that I need to translate my trades from $USD to $AUD according to the RBA's translation rates for every single trade.
But what about gains or losses on translation?
There is one major rule that overrides FX gains and losses after digging deeper. The ATO has a "$250k balance election". This will probably apply to a lot of people trading in balances below $250k a lot of the FX rules don't apply. It states:
However, the $250,000 balance election broadly enables you to disregard certain foreign currency gains and losses on certain foreign currency denominated bank accounts and credit card accounts (called qualifying forex accounts) with balances below a specified limit.
Therefore, I'm all good disregarding FX gains and losses! I just need to ensure I translate my trades on the day they occurred. It's a bit of extra admin to do unfortunately, but it is what it is.

Credit Trades

This is the scenario where we SELL a position first, collect premium, and close the position by making an opposite BUY order. Selling a naked PUT, for example.
What happens when you open the position? ATO Response:
The option is grantedCGT event D2 happens when a taxpayer grants an option. The time of the event is when the option is granted. The capital gain or loss arising is the difference between the capital proceeds and the expenditure incurred to grant the option.
This seems straight forward. We collect premium and record a capital gain.
What happens when you close the position? ATO Response:
Closing out an optionThe establishment of an ETO contract is referred to as opening a position (ASX Explanatory Booklet 'Understanding Options Trading'). A person who writes (sells) a call or put option may close out their position by taking (buying) an identical call or put option in the same series. This is referred to as the close-out of an option or the closing-out of an opening position.
CGT event C2 happens when a taxpayer's ownership of an intangible CGT asset ends. Paragraph 104-25(1)(a) of the ITAA 1997 provides that ownership of an intangible CGT asset ends by cancellation, surrender, or release or similar means.
CGT event C2 therefore happens to a taxpayer when their position under an ETO is closed out where the close-out results in the cancellation, release or discharge of the ETO.
Under subsection 104-25(3) of the ITAA 1997 you make a capital gain from CGT event C2 if the capital proceeds from the ending are more than the assets cost base. You make a capital loss if those capital proceeds are less than the assets reduced cost base.
Both CGT events (being D2 upon granting the option and C2 upon adopting the close out position) must be accounted for if applicable to a situation.
My take on this is that the BUY position that cancels out your SELL position will most often simply realise a capital loss (the entire portion of your BUY position). In effect, it 'cancels out' your original premium sold, but it's not recorded that way, it's recorded as two separate CGT events - your capital gain from CGT event D2 (SELL position), then, your capital loss from CGT event C2 (BUY position) is also recorded. In effect, they net each other out, but you don't record them as a 'netted out' number - you record them separately.
From what I understand, if you were trading as a sole tradecompany then you would record them as a netted out capital gain or loss, because the trades would be classified as trading stock but not in our case here as an individual person trading options. The example I've written below should hopefully make that clearer.
EXAMPLE:
Trade on 1 July 2020: Open position
Trade on 15 July 2020: Close position
We can see from this simple example that even though you made a gain on those trades, you still have to record the transactions separately, as first a gain, then as a loss. Note that it is not just a matter of netting off the value of the net profit collected and converting the profit to $AUD because the exchange rate will be different on the date of the opening trade and on the date of the closing trade we have to record them separately.

What if you don't close the position and the options are exercised? ATO Response:
The option is granted and then the option is exercisedUnder subsection 104-40(5) of the Income Tax Assessment Act 1997 (ITAA 1997) the capital gain or loss from the CGT event D2 is disregarded if the option is exercised. Subsection 134-1(1), item 1, of the ITAA 1997 refers to the consequences for the grantor of the exercise of the option.
Where the option binds the grantor to dispose of a CGT asset section 116-65 of the ITAA 1997 applies to the transaction.
Subsection 116-65(2) of the ITAA 1997 provides that the capital proceeds from the grant or disposal of the shares (CGT asset) include any payment received for granting the option. The disposal of the shares is a CGT event A1 which occurs under subsection 104-10(3) of the ITAA 1997 when the contract for disposal is entered into.
You would still make a capital gain at the happening of the CGT event D2 in the year the event occurs (the time the option is granted). That capital gain is disregarded when the option is exercised. Where the option is exercised in the subsequent tax year, the CGT event D2 gain is disregarded at that point. An amendment may be necessary to remove the gain previously included in taxable income for the year in which the CGT event D2 occurred.
This scenario is pretty unlikely - for me personally I never hold positions to expiration, but it is nice to know what happens with the tax treatment if it ultimately does come to that.

Debit Trades

What about the scenario when you want to BUY some options first, then SELL that position and close it later? Buying a CALL, for example. This case is what the ATO originally thought my request was about before I clarified with them. They stated:
When you buy an ETO, you acquire an asset (the ETO) for the amount paid for it (that is, the premium) plus any additional costs such as brokerage fees and the Australian Clearing House (ACH) fee. These costs together form the cost base of the ETO (section 109-5 of the ITAA 1997). On the close out of the position, you make a capital gain or loss equal to the difference between the cost base of the ETO and the amount received on its expiry or termination (subsection 104-25(3) of the ITAA 1997). The capital gain or loss is calculated on each parcel of options.
So it seems it is far easier to record debit trades for tax purposes. It is easier for the tax office to see that you open a position by buying it, and close it by selling it. And in that case you net off the total after selling it. This is very similar to a trading shares and the CGT treatment is in effect very similar (the main difference is that it is not coming under CGT event A1 because there is no asset to dispose of, like in a shares or property trade).

Other ATO Info (FYI)

The ATO also referred me to the following documents. They relate to some 'decisions' that they made from super funds but the same principles apply to individuals they said.
The ATO’s Interpretative Decision in relation to the tax treatment of premiums payable and receivable for exchange traded options can be found on the links below. Please note that the interpretative decisions below are in relation to self-managed superannuation funds but the same principles would apply in your situation [as an individual taxpayer, not as a super fund].
Premiums Receivable: ATO ID 2009/110

Some tips

submitted by cheese-mate-chen-c to options [link] [comments]

Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking

Introduction

Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.

https://preview.redd.it/20xdiq6gq4k51.png?width=1200&format=png&auto=webp&s=6cd47186db1039be7df4d7ad6782de36da48f1db
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.

https://preview.redd.it/u17iwbhiq4k51.png?width=1200&format=png&auto=webp&s=98ea8ed154c9468cb62037668c38e7387f2435af
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar


Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

https://preview.redd.it/lmx0q9qoq4k51.jpg?width=1200&format=pjpg&auto=webp&s=c6e9e1533b1ba236e51296de8db3be55dfa78ba1

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)

Surveys

It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you.

Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times
We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers:
It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be.
Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do.

Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases

Preparing for quantitative and qualitative releases

The majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP.
Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data.

A great resource that's totally free to use
This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down.
Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders.
For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend.
Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money.
Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show.
For example, here’s German Consumer Confidence.

Helpful context
There are also qualitative events. Normally these are speeches by Central Bankers.
There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.

Data surprise index

The other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic.
You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference.
If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative.

Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast
There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers.
When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish.
These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.

Using recent events to predict future reactions

The market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects?
That seems easy to answer but it is not.
Consider the example of consumer confidence we had earlier.
  • Many times the market will shrug and ignore it.
  • But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
  • If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
  • But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times.
One clue is to look at what happened to the price of risk assets at the last event.
For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then?

2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher
So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect.
Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.

Buy the rumour, sell the fact

A final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur.

Buy the rumour, sell the fact
In short: people take profit and close their positions when what they expected to happen is confirmed.
So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.

Trimming or taking off positions

One thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes.
Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions.

The price action before an event can tell you about speculative positioning
If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus.
But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.

Two kinds of reversals

Fairly often you’ll see the market move in one direction on a release then turn around and go the other way.
These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.

Logical reversals

Sometimes this happens when the data looks good at first glance but the details don’t support it.
For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers.
Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.

Crazy reversals


Some reversals don't make sense
Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth?
This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.

Some key releases

As we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.

Interest rates decisions

These can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate.
You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot.
A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower.
A central banker speaking is always a big event

Non farm payrolls

These are released once per month. This is another top-tier release that will move all USD pairs as well as equities.
There are three numbers:
  • The headline number of jobs created (bigger is better)
  • The unemployment rate (smaller is better)
  • Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event.
In general a positive response should move the USD higher but check recent price action.
Other countries each have their own unemployment data releases but this is the single most important release.

Surveys

There are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc.
Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here.
A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.

GDP

Gross Domestic Product is another big release. It is a measure of how much a country’s economy is growing.
In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time.
This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release.
In general a strong GDP number is good for the domestic currency.

Inflation

Countries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate.
See the FX fundamentals section for more details.

Industrial data

Things like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy.
These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels.
Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.

Comments

Often there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.

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What is the best way to invest in index funds and ETFs while living in Germany?

Background: My wife and I live in Germany. She is a EU citizen and I'm American. The account would be in her name to make things easier tax wise. We're interested in investing in index funds and ETFs. We're trying to decide on a platform to go with but are having trouble figuring out the best option for us. Ideally we'd like a platform that offers a wide selection of ETFs and index funds, but it does not need to offer FOREX, cryptocurrency, etc.
Which potential option would you recommend for our situation? It'd be nice to hear anyone's feedback who has used any of these platforms.
  1. Fonds Spärlane or Savings plan - The DKB Sparpläne https://www.dkb.de/privatkunden/wertpapiersparen/fonds/. This seems like a good option. They have a decent selection of products and offer the ability to automatically purchase into a fund/ETF each month. Since they are a German Bank they have to offer tax forms as well, which makes life easier.
  2. International Broker - Interactive Brokers or Fidelity International. We don't have 100k to invest so I don't think IB is the right option due to the 10 euro per month fee. Fidelity Int'l has a wide selection but I need to do more research to see what tax info they provide.
  3. German Broker - I haven't come across one that I'm crazy about yet so any recommendations would be helpful.
  4. German Depot Konto - Commerzbank https://www.commerzbank.de/portal/de/privatkunden/sparen-anlegen/produkte/depotmodelle/depot-eroeffnen/depot-eroeffnen.html?gclid=CjwKCAjw5Kv7BRBSEiwAXGDElRF5GnUm8exUdl4NjmQ5eT3lBc6ypA4Xhmc_rn4Dclfs9oRlm8o3ZRoCnysQAvD_BwE. We're already customers there so it would be easy to setup an account. The costs here seem quite high and I don't know yet what kind of product range they offer.
submitted by thesog to eupersonalfinance [link] [comments]

Starting to sell my services

Lately, I have been researching all sorts of ecom revenue sources and for me the most rewarding seems to be selling my own services by doing what I love. I would love to spend a lot of time learning more about dropshipping, Forex/HFX, Amazon, Depop, Ebay, etc., but as someone with a stress disorder, I do not think those are the best options for me personally, as I have little faith in the process and do not get very excited about it. I want to be able to make a fair amount by selling my audio production services. I am an 18 year old college student in downtown Atlanta who has a nice recording program, synthesizer, and soon a microphone. I believe that doing what I love will strongly benefit how much work I put into my business. I believe anyone with a strength capitalize off of their strengths if actually learn how to sell it. I do not expect to get a bunch of money right off the bat, but I want to hear ideas for what makes a TEEN'S business as professional as possible. I have considered Fiverr as a platform for purchasing a music service, although I am uncertain with what will equate to success.
My worry is over-saturation of the beat-making and audio production industry (especially on Fiverr). How can I separate myself from others doing the same thing and earn a profit? I am already planning on starting an instagram account and perhaps a website to help professionalize my business. I want to be able to confidently market and promote my product so I know I am showing that I have a true music theory education and advanced knowledge that will assist the customer in having a quality product/service. From a business perspective, what will help my validity and value be treasured by others to gain a reliable money flow?
Thank you all :)
submitted by Environmental_Spot63 to ecommerce [link] [comments]

What is the best way to invest in ETFs while living in Germany?

Background: I posted this question on /eupersonalfinance https://www.reddit.com/eupersonalfinance/comments/iy7ay6/what_is_the_best_way_to_invest_in_index_funds_and/ and they said I should post here as well. I've made some changes to the question after more research.
My wife and I live in Germany. She is a EU citizen and I'm American. The account would be in her name to make things easier tax wise. We're interested in investing in ETFs. We're trying to decide on a platform to go with but are having trouble figuring out the best option for us. Ideally we'd like a platform that offers a wide selection of ETFs and it does not need to offer FOREX, cryptocurrency, etc.
Which potential option would you recommend for our situation? It'd be nice to hear anyone's feedback who has used any of these platforms.
  1. International Broker - Interactive Brokers or Fidelity International. We don't have 100k to invest so I don't think IB is the right option due to the 10 euro per month fee. Fidelity Int'l has a wide selection but I need to do more research to see what tax info they provide.
  2. German Brokers - Scalable Capital and Smartbroker look intriguing. I'm leaning towards the latter since they have been around longer.
  3. German Depot Konto - Commerzbank https://www.commerzbank.de/portal/de/privatkunden/sparen-anlegen/produkte/depotmodelle/depot-eroeffnen/depot-eroeffnen.html?gclid=CjwKCAjw5Kv7BRBSEiwAXGDElRF5GnUm8exUdl4NjmQ5eT3lBc6ypA4Xhmc_rn4Dclfs9oRlm8o3ZRoCnysQAvD_BwE. We're already customers there so it would be easy to setup an account. The costs here seem quite high and I don't know yet what kind of product range they offer.
We tried setting up an account with DKB since we read and heard good things about them and their Sparpläne is a solid price. Our account was rejected so we contacted customer service for their help. To put it nicely their customer service is terrible and we've decided to continue our search for a different company.
submitted by thesog to Finanzen [link] [comments]

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submitted by reviewparkingdotcom to HYIP [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

3000RMB vs 3000USD

Recently there’s a heated debate around the topic of the buying power of 3000 USD and 3000 RMB in USA and China. And how the results are related to the daily life of each nation’s citizens. Thus, I am here to analyze the difference of buying power between 3000 USD and 3000 RMB.
First of all, the situation here is actually more complicated than one might think, 3000 USD as of current translates to 20758.50 RMB on forex. Which is why just simply straight up comparing the two isn’t by any means fair. A fairer topic of discussion would be the difference of buying power between the average citizen of the two nations. However, criticizing the topic doesn’t mean I won’t give this topic a fair analyzes.
What would life look like with 3000 USD in America and 3000 RMB in China?
Well, first of all we need to settle on a city for comparison, America have 50 states while China have 23 provinces. The prices change dramatically between city to city, state to state, province to province. Thus, for the sake of fair comparison, we will compare Shang Hai to New York. Both are the cities with the most amount of GDP per capita with in their nation. However, once again for the sake of fairness a note had to be made here, Shang Hai have a significantly larger population, and a much lower GDP per capita.
To make the comparison, I will make a budget living plan for both NYC and Shang Hai. The living plan will include health care, telephone bill, rent, food, electricity & hydro, and transport. The budget won’t include furniture or clothing as they aren’t something which is bought monthly.
New York:
- Housing (1,100$): According to renthop.com (https://www.renthop.com/average-rent-in/new-york-city-ny), the average 1 bed room rent ranges from 2650-3550dollamonth. According to rentcafe.com (https://www.rentcafe.com/average-rent-market-trends/us/ny/manhattan/), the average rent over all reaches a astonishing 4,208 dollamonth. Thus, to make a functional housing plan requires a bit more thought put into it.
After a bit of searching, I am able to find a 1,100-dollar living space, the downside being having to live with 3 other roommates. (https://www.apartments.com/common-robinson-new-york-ny/5r6bl3n/)
- Health care (500$): Unfortunately, I am denied access to the health care market place for New York city because of my non-New York IP. (https://info.nystateofhealth.ny.gov/) However, individual researches tells us that the average new yorker spends a 6,335$ on health care annually. So averagely the health care spending per month would be roughly 500$.
- Transport (127$): A unlimited monthly metro card in New York is 127.00$. (https://www.tripsavvy.com/new-york-city-subways-and-buses-1612185#:~:text=New%20York%20City%20subway%20fares,fare%2C%20which%20is%20half%20price.) However, it’s worth mentioning that the New York public transport system is know to be inefficient, dirty and overall problematic.
- Water & electricity (263.84$): So on average the newyorker spends 173.84$ on electricity (https://patch.com/new-york/larchmont/here-s-how-much-utilities-cost-new-york-residents)
Combining data from NYC government (https://www1.nyc.gov/site/dep/pay-my-bills/how-we-bill-you.page) and the average water usage of American house holds (http://www.keyportonline.com/content/4031/4050/4243/4371.aspx#:~:text=The%20average%20person%20uses%20from,2%2C430%20cubic%20feet%20per%20person.), the average cost of water will be around 90$.
- Communication (75$): the average cell phone cost in New York is 75 dollar per month. (https://stefanieoconnell.com/much-need-live-new-york-city/#:~:text=Cell%20Phone%3A%20%2475%2Fmonth,be%20had%20in%20this%20category.)
- Food (750$): food cost ranges person to person, epically considering America’s insanely high diabetic rate of 36%. (https://www.cdc.gov/media/releases/2017/p0718-diabetes-report.html) Thus the cost of food is mostly up to estimations. (https://green-mart.us/product-category/beverages-mixers/) is a good place to start. After some calculation, if I were too cook myself, the average cost would be around 20$/day. While if I were to eat out all month, the price would in increased to 36$/day according to traveling websites. Thus, we take the average and get 25$ per day. 25X30 and we get 750$ spent on food.
The final cost would be 2815.84, which lefts us with 185 dollars for dealing with emergencies. We would be eating just fine. However, with this budget, one is stuck to living with 3 other roommates and having to use the terrible New York public transit every single day.
Shang Hai:
- Housing (1400$): Due to the large population base, we don’t have an exact number on the average rent. However, that won’t stop us from making a budgeted living plan by finding houses online for rental. (https://sh.zu.anjuke.com/fangyuan/1483960300806147?isauction=2&shangquan_id=22039&legoFeeUrl=https%3A%2F%2Flegoclick.58.com%2Fjump%3Ftarget%3DpZwY0ZnlsztdraOWUvYKuaYYrH0Yrjc3ridBnHDQsHELnWDVrHDvnidhPA76uWKWuW9YrjmKPH9dnWELnHDvP1EvPjEKTHDYrjnOPWT1njT3njmQPj0KP10knTDLP1TkTHD_nHTKn9DQPHb3njN3njnYrjT1THcKwbnVNDnVENGssXXMMSpcfzLMoufG9cM-BFxCCpWGCUNKnEDQTEDVnEDKnHcOPWbLPjnYn1ndPHNQrjbLP9DvTyGGmNI-rWDknjKxnHNknTDQTHc3m1EvuWNYsyNzPj0VPjDvPaYOuWbvsynkmyPhuHFBnHR6rEDQnWbvrH0Yn1E1Pj9dPHnknHDzTHDzrHmOP1E1PjnYnHTkPjEOnW9KTEDKTEDVTEDKpZwY0Znlszq1paOlIiO6UhGdpvN8mvqVsvu6UhIOIy78sLGJnHTzsk7jE1PjrDNvnBdDnYD1sNNknbDVwHEQPidDPNPanDnYP1RjPDDKP1T8P1D8nHTdsWEzTHTKnTDKnikQnE7exEDQnjT1P9DQnjTQPWmdTH7hm1TQuWbYsHTvrAmVPj93uBY3nAEYsHwWmW9YPjTzmhmzrEDKPTDKTHTKnBkQPjDQsjcznjnOTHDKUMR_UTDYP16BmyDOPHEYnWuBPWPb&lego_tid=1fc01f94-068f-488f-80d4-4cb84402bf29&from=Filter_2&hfilter=filterlist) Here’s a very lovely house I’ve found for 1400, you get to not only live alone, but it also comes with your own kitchen and bathroom. And it’s also insanely close to the public transport system.
- Health Care (20$): The annual fee is around 250$ for health care in China.
- Transport (100$): Since the month pass got canaled, transport fee depends from person to person. Assuming we don’t work on the other side of the city, averagely 100$ would be spent per month.
- Water & electricity (200$): Judging from official numbers (https://www.sohu.com/a/296444679_667422)
The cost would be around 200$ maximumly for a single person.
- Communication(38$): you can get a cell phone plan for 18$ (https://zhidao.baidu.com/question/1767039690840279060.html) being generous we will go with the 38$ plan.
- Food (900$): Food cost in Shang Hai is a very hard number to measure. Assuming we are going full luxury, 900$ would get you covered for a month.
The total cost would end up around 2620$. With 380$ to spare. And not only do you get an entire apartment all to your self, you also get plenty of money left over to spend.
Now this comparison can be unfair due to the population of Shang Hai and New York, but it’s still astonishing how despite dollar being almost 7 times more valuable than yuan, yuan still holds just as much purchasing power in China. Not only do you get apartment all to yourself in Shang Hai (unlike newyork where you’ll end up with 3 room mates), you also save a lot more.
submitted by Bolshevik-Blade to Sino [link] [comments]

APIs offered by brokers and data platforms

I’ve been looking for a broker that has an API for index futures and ideally also futures options. I’m looking to use the API to build a customized view of my risk based on balances, positions, and market conditions.
Searching the algotrading sub I found many API-related posts, but then when I actually read them and their comments, I found they’re often lacking in real substance. It turns out many brokers or data services that have APIs don’t actually support index futures and options via the API, and instead they focus on equities, forex, or cypto. So here’s the list of what I’ve found so far. This isn’t a review of these brokers or APIs and note that I have a specific application in mind (index futures and futures options). Perhaps you’re looking for an API for equities, or you just want data and not a broker, in which case there may be a few options. Also, I’m based in the US so I didn’t really look for brokers or platforms outside the US.
If you have experience with these APIs, please chime in with your thoughts. Also, I may have missed some brokers or platforms. If I did or if you see anything that needs correction please let me know.

Platform Notes
ADM Investor Services No API
Ally Invest Does not support futures instruments
Alpaca Only supports US Equities
Alpha Vantage Does not support futures instruments
AMP Broker with a huge number of platforms available including some with APIs
ApexFutures No API
Arcade Trader No API
AvaTrade Does not support futures instruments
Backtrader Not a data feed; otherwise looks cool but also looks like a one-man shop
Cannon Trading Broker with a variety of platforms, some have API access such as TT
Centerpoint No API
Charles Schwab API does not support futures instruments
Cobra No API
Daniels Trading No API
Discount Trading Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Edge Clear Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Eroom Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.
ETNA Trader Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)
ETrade API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours
Futures Online No API
Gain Capital Futures API available, based on .NET; unsure if they are open to retail clients
GFF Brokers Broker with a large number of platforms including some with API access
High Ridge Futures Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
iBroker API available; contact them for more info
IEX Cloud Looks great but does not support futures instruments
Infinity Futures JSON API available; contact them for more info
Interactive Brokers Client Web API looks promising if clunky
Intrinio Supports futures instruments but is expensive
Koyfin No API
Lightspeed C++ API available
marketstack API for equities available. Does not support futures instruments.
Medved Trader Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.
NinjaTrader Does not support futures options
Norgate Data Not a broker; supports futures data for $270/year
Oanda Forex only; API last updated in 2018
Optimus Futures Broker with a large number of available platforms including some with API access
Phillip Capital Broker with a large number of available platforms including some with API access
polygon.io Expensive but looks slick; does not support futures instruments
Quandl API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker
Quantconnect Does not expose raw data
Quantopian Does not expose raw data
Quantower Software that connects to multiple brokers and data feeds; API to their software via C# interface
Saxo Markets Broker with extensively documented API
Stage 5 Trading API available through Trading Technologies
Straits Financial Broker with several platforms available including some with APIs such as CQG, R
Sweet Futures Broker with a large number of available platforms including some with API access
TastyWorks There's an unofficial Python API
TenQuant.io Does not support futures instruments
ThinkorSwim Does not support futures instruments via the API
Tiingo Free account tier but does not support futures instruments
TradePro Broker with a number of platforms available; unclear if any are available with API access
Tradier Free developer API account for delayed data but does not support futures instruments
TradeStation Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available
TradeFutures4Less Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
TradingTechnologies API looks robust; pricing starts at $700/month
TradingView Does not expose data API
Tradovate Technologies API exists, documentation unknown; need to talk to their account team
Wedbush Futures Broker with several platforms offered, a few of which have API access
WEX .NET/COM only; pricing not disclosed on website
Xignite Pricing not disclosed on website but they do support futures instruments
Yahoo Finance API Available through RapidAPI or via direct access; but it’s discontinued and unreliable
Zaner Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs

Wow, this list grew longer than I originally thought it would be. If you spot a mistake, please let me know and I’ll correct it.
Edit:
- added Lightspeed API - updated Dashprime to indicate some of the APIs available - added Medved Trader to table - added marketstack to table
submitted by theloniusmunch to thewallstreet [link] [comments]

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