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traders talks and videos

  #11 (permalink)
 
xevanchan's Avatar
 xevanchan 
New York City, NY
 
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FuturesTrader71 does a daily segment called "trader bite" live on youtube, starting 30 mins before market open. He goes over his assessment for the day, talk about financial/fundamental news that day, and in the main segment, he talks about how VPOC/distribution and other volume based assessments should effect trading. At in the end, he makes several predictions as to what he think will happen. Obviously, it's not something to be dependent on, but it's nice to have a different perspective, or just to hear the news over a cup of coffee before open.

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  #12 (permalink)
 
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 aquarian1 
Point Roberts, WA, USA
 
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Luke Cummings

Luke started in a retail brokerage after his university finance degree attracted to the industry after a summer job with a fund company where he worked in the back office settling accounts and doing currency settlements. With Etrade he got to see customers reaction to the tech meltdown - gaining an insight to the emotions without going through them with his own cash. He and his business partner exploited a (now closed) opportunity in the Australian share market by trading in discounted securities. They when on to create a fund, Harvest Lane Asset Management, and have a newsletter and blog. The focus is finding opportunities where the reward is out-sized to the risk. He also does rule-based discrentionary trading.

Key points
Efficient market hypothesis (EMH) is a fallacy, in that inefficiencies exist in the markets.
Learning in university what fund managers are taught helped him to understand their thinking (e.g. that EMH is true).
A fallacy - others often think that people that are making money know why they are making money.
Assuming you can do what everyone else is doing and make money is a mistake.
Thinking that you must master complicated strategies to make money is also a mistake.

Luke shares an example of his discounted share trade:
A Chinese company makes a firm guaranteed-price take-over offer for $1.71/share and shares are trading for $1.72. You buy a large number of shares. If the offer is sweetened e.g. $1.85 then you make 14 cents a share and if it is not you lose 1 cent for a 1:14 risk:reward ratio.


“You can tell a lot about a person when they’re under pressure and losing money.”
“Assuming it’s impossible to do what the very best are doing, is a mistake.”

I liked this interview and felt Luke was honest and he understood more closely the viewpoint those of us from the retail side.


source:
https://chatwithtraders.com/ep-031-luke-cummings/

In the source is a link to his Take-over Strategy and
https://chatwithtraders.com/wp-content/uploads/2019/01/MA-Strategy-September-2016.pdf
other links.

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  #13 (permalink)
 
aquarian1's Avatar
 aquarian1 
Point Roberts, WA, USA
 
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I've listened to quite a few more but haven't posted notes on them (yet).

I hope others will post their notes on things they listen to so all the work of posting summaries doesn't fall on me ;-)

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  #14 (permalink)
 
aquarian1's Avatar
 aquarian1 
Point Roberts, WA, USA
 
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Harnessing the power of machine learning for money making algo strategies w/ Bert Mouler

Bert Mouler took a triple major in University and is now doing his master's. He has several companies (6?) one of which is profluenttrading.com. He uses machine learning to find strategies, so this is not automating a strategy the machine finds them.

(On the next bit I'm not 100% clear - but ML FIO experts can perhaps correct me)
He mentions that the type of ML he uses is not the best fit type (neural net etc) which give you an equation and coefficients but you don't really know what is going on but rather ........ (he mumbled this key bit) type.

So as an example he would feed in 30 years of price data on the S&P and then something else 30 on the Euro or Yen or anything a different market doesn't need to make sense. The computer crunches out 10,000 OD systems selects the 1,000 best (tested with something like Sharpe ratio) then it varies the 1,000 and makes another 10,000 and so on.
(He has a 40 core zero server.)

He uses a zero point origin and it test the function space.
He stays with non-optimizeable discrete variables.
he does a PCA on the equity curve.
So:
Price series =? ML filter => equity curve. (it is the equity curve you are trading - not the price series)

An analogy he gives is that with integration you can compute the area in a circle. Another way is to create a box around it (of which you know the area) and with a Monte Carlo program it computes many points (some in the cirlce and some outside) and gets the approximate area in that way. He thought this was very elegant.

He doesn't worry if the relationship the computer finds makes sense. So if it's the price of butter in India to the S&P he doesn't care. He simply is interested in finding a robust relationship that make money.

“I’m more worried about robustness than performance.”
"We’re in this business to make money, not to be correct and not to explain how or why the market works – if you want to do that, go be an economist.”

source:
https://chatwithtraders.com/ep-042-bert-mouler/

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  #15 (permalink)
 
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 snax 
Chicago, IL
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xevanchan View Post
FuturesTrader71 does a daily segment called "trader bite" live on youtube, starting 30 mins before market open. He goes over his assessment for the day, talk about financial/fundamental news that day, and in the main segment, he talks about how VPOC/distribution and other volume based assessments should effect trading. At in the end, he makes several predictions as to what he think will happen. Obviously, it's not something to be dependent on, but it's nice to have a different perspective, or just to hear the news over a cup of coffee before open.

Just watched the one from today (Trader Bite #1487 posted ~8 hours ago) and thought it was great. Thank you xevanchan!

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  #16 (permalink)
 
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 aquarian1 
Point Roberts, WA, USA
 
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Jon Boorman

Jon has been in the world of trading for over 30 years -mostly in the institutional space – positions: buy-side, sell-side, trading desk, assistant to a portfolio manager, prop trader. Now Jon lives in the USA and trades independently and does also manages assets for others.

He has tried many different things and ended up on a long-only trend following system on stocks (fairly concentrated to 15 stocks), which he says fits his personality. He uses fixed 0.5% position sizing (15 stocks and 0.5%?). In a bear market he moves to cash.

In any case when asked about traders with small accounts where 0.5% isn't realistic, I found his answer dodge it and diverted to well maybe hold longer (I guess to reduce commission as % of trade return?)

He closes with:
Make your goals and objectives process oriented and not return oriented.

Several resources of books to read he gives are:
The Mental Edge in Trading, by Jason Williams
Trade Your Way to Financial Freedom, by Van Tharp
The Definitive Guide to Position Sizing by Van Tharp

source:
https://chatwithtraders.com/ep-043-jon-boorman/

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  #17 (permalink)
 
aquarian1's Avatar
 aquarian1 
Point Roberts, WA, USA
 
Experience: Advanced
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Jack Little

Key Points:
  • Jack is a global macro trader who originally started out as an international commodity broker – today, he now has more than 17
  • years of market experience.
  • Jack thinks of trading in terms of probabilistic outcomes, instead of attempting to ‘predict’ the future
  • Position sizing is very important and making the right bet at the right time.
  • Professionalism

5:95 profitable trades of many traders across many styles.
(Trading Risk: Enhanced Profitability through Risk Control, Kenneth L. Grant)
Profits come "fat-tail" very lumpy - the come very rarely.
When a trade is very attractive you need to take a very large position.
"You must bet big when the time is right."

Typical evolution: new traders start off betting too big, blow-up, then become very conservative with their risk taking tiny bets and

their accounts remain small forever "eating stale bread and watery soup" and never master the art of making the big bet.
Buffett's 1965 letter: we'll invest 40% of our capital in one company if it's the right company.

Mastering the big bet is the reason you are there.

When to bet big: Well all the factors are giving green lights then you take the trade.
1. Alignment - ( is the industry positioned well)
2. Resonance (all the pieces pointing in the same direction- good risk appetite, trends flowing well)
3. Clarity (do you really see why this is a good trade, is it powerful in your mind's eye)
4. Flow ( ?)
(at this point I felt he waxed poetic - weakening my alignment with the above)

He tends to pyramid as the trade evolves as well as larger position initially
Size influenced by P&L - can go to 50:1 or more
(note how many others say don't trade your P&L - though perhaps this he means portfolio P&L versus trade P&L)

Many traders waste time by spending time on things that don't help there P&L
(5 indicators all based on momentum, reading only articles confirming your thesis, e.g. bullish on oil, that don't contain new

information). What habits do you have that if you stopped doing those things you would be better off?

Amateurs vs being a great competitor
Level of professionalism - traing focus and discipline (eg. serious competitor in martial arts will use great discipline in practicing kata to a high level giving excellent form and precise movements, amateur sloppy, poor form)



“The purpose of being in markets is not to predict anything, it is simply to assess odds and probabilities.”
“When you understand the nature of probability it actually changes the way you trade (and think about trades).”

source:
https://chatwithtraders.com/ep-045-jack-little/

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  #18 (permalink)
 
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 aquarian1 
Point Roberts, WA, USA
 
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Position sizing controversy

the last two are in direct opposition to each other

discussion here=>

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  #19 (permalink)
 
aquarian1's Avatar
 aquarian1 
Point Roberts, WA, USA
 
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Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants

He started in the 1980's when "open source" is typing code from magazines
founder of The Python Quants.


work from consulting firm subject to NDA (non disclosure agreements)
statistical arbitrage is based on a difference between prices and model theoretical prices
statistical arbitrage - gold and gold miners and exploit the statistical relationship
though most quant is based on daily closing pricing they still lack mathematical theories based on dialy closing prices.
HFT is aimed at micro-structure
his company doesn't use social media or estimate data (e.g. PE estimates) but stick to price data 90% which is readily observed. There are startups that do try to get edge from it (significant alpha). However, banks are interested that social media to see if they use social media to influence risk of loans.
Despite talk of Alpha Go etc he isn't aware of people who are getting edge from AI (but they might not be talking of it)

Tompson Reuters is interested in using all data not just historical price and current price - unified API data field(fundamental, social, analyst, news, etc ) and a python wrapper can combined all this information. (API and warpper is available/included for Reuters data subscribers). He feels this may be a quantum leap and a bit opportunity.


the book from has python and the code is at (github)
how to combine python and excel at their talks and speakers including R and ..
python for quants leaders group 1300 members (fintech, students, banks, JP Morgan)

python has extensive ecosystem with many libraries (Pandas, etc) and popular with quants and Latex users like it
(-Jupiter is available to R as well)
python is widely used in financial and some as a strategic language

Banks: BOA uses python as the primary language on a major project - Quartz - core risk management -14 million lines of code, JPM for Athena trading alph risk platform
hedge funds: 2zigma in NY, PC partners, etc
asset management: are catching up and using python

for new startup companies python is very good (especially if you are not hampered with legacies code)

open source: Pandas—a Python library created by Bruce McKenny, a programmer within a large hedge fund - data frame in R and missing in python at the time huge library (1800 pages of PDF documentation) and open sourcing it may give a feedback loop with what new users give back.

Resources:
code academy
The Python Quants, i.e. educational material, browser-based analytics platforms, training https://tpq.io/
Yves website Dr. Yves J. Hilpisch ? The Python Quant

source:
https://chatwithtraders.com/ep-084-yves-hilpisch/

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  #20 (permalink)
 
aquarian1's Avatar
 aquarian1 
Point Roberts, WA, USA
 
Experience: Advanced
Platform: IB and free NT
Broker: IB
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Posts: 4,034 since Dec 2010
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Jared Tendler is an internationally recognized mental game coach. His clients include world champion poker players, the #1 ranked pool player in the world, professional golfers, and traders. Jared was a golfer and had problems under pressure of big competitions. He then studied pyschology at university. He found that elite poker players could use his help and one took their monthly earnings form $200K to 600K with his help. He feels that psychology has been over-sold to new traders but that it is important if your trading errors are from these issues.

Poker players make a lot of money playing against poor players who think they are good.


Tilt a reason way you play sub-optimally (anger, fear, greed, drunk)
1. Running-back tilt : long losing streak and a person getting crazy over it, (they carry-over accumulated emotion into the next session). Solution: Journal giving you a record of your emotional reaction - why am I getting so upset?
2. Hate-losing tilt: For traders the reality is you are going to lose a lot. Solution- Re-framing - what you are competing for goals? confidence?
3. Injustice tilt
4. Entitlement tilt
5. Revenge tilt
6. Desperation tilt: So desperate to recapture your losses you do stupid things (e.g. increase bet size to make it back, trade in things you don't know). You need to understand there a difference between performance issues and a gambling prb (beating with life savings, money borrowed from friends). A performance issue can be dealt with. A gambling issue needs professional help.

dusty angry "injustice tilt" and "entitlement tilt"
entitlement tilt= losing to mediocre player (in trading you don't usually no the other side so this isn't

usually a prb)

injustice tilt = losing due to "variance" (good and bad luck, randomness of the market e.g. golf ball hits a roadway and bounces out of bounds)

Situation: Person had chaotic relationship with father, been in therapy and thought he has dealt with it. Struggling to be consistent - making money and losing money. Emotions from earlier in your life are triggered during the trading day. It's not really a fair situation. Emotions from years ago get triggered in your mind.
Others problems which weren't that problems earlier in life- perfectionism, illusions of control, difficulties in handling mistakes, illusions of permanence.

injustice tilt is getting angry about something that you have:
1. no control over and 2. exists all the time
Losing trades in these situations variance is just a cost of business.

==> Not understanding variance is like a business person not understanding expenses. <<===

Steps:
What is the faulty logic that is preventing you from accepting a message like variance exists?
How are we going to train it?

What is the major emotion/mental issue you are dealing with (anger, not trusting your gut, losing

confidence, over confidence)
Drill down to see what those issues are about
The strategies to cope have to be done in situation to high stress.

premature exiting a good trade
cause = loss of confidence
take two deep breaths to step back and inject the corrective logic statement

When you emotions rise to high they actually have the power to shutdown higher decision making

When is a trading error a tactical error or an emotional error?
If you keep making the same mistake over and over year and year and you respond by trying to learn more

about the markets, then it is probably an emotional error.

To study your emotional reactions
make notes as you go along.
Your body? tense leaning forward? back?
your emotions?

At the end of the day flesh out the notes you made as you go along.
Later - eg. end of the week: review your journal and look for patterns, emotional patterns.

Self criticism over his mistakes is an emotional error you need to deal with.

Psychology from early childhood needs to be dealt with but until you have a system you don't have a set of rules to be disciplined to. Sizing up will accentuate your psychology errors.
How you swing your club or execute your trade is the first importance.

source:
https://chatwithtraders.com/ep-086-jared-tendler/

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