1. Systematic traiding 2. Trading system and methods 3. Advances in financial Machine learning ## Risk Management 4. The Leverage Space Trading model 5. Mathematics of money management (Ralph Vince) ## trading indicators 6.
Nice, I’m reading Detecting Regime Change right now as I always had a different understanding about regimes. Went through the same struggles of brain melting seeing math on these books the first time, so for any beginner I would also recommend (although they are not directly linked to trading, these books helps you come up with things that never exist anywhere) 1. Python for Scientific Computing and Artificial Intelligence, Stephen Lynch (For absolute beginners, get your basics and logical thinking right) 2. Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R , Vincent Knight 3. Applied Evolutionary Algorithms for Engineers Using Python, Leonardo Azevedo Scardua 4. Quantitative Finance with Python! A Practical Guide to Investment Management, Trading, and Financial Engineering, Chris Kelliher 5. Machine Learning: Theory and Practice, Jugal Kalita Finally all the books recommended in the video, every one of them is an absolute read, don’t know about the last one, I’m still reading it, and for professors Steve Brunton, I am following his video lectures during my free time instead of the book so I can make notes along with him.
Interesting list, I'll have to look into a few of those. The evolutionary algorithms book I've never seen before. A book I forgot to include is Clever Algorithms by Jason Brownlee. It's a collection of nature-inspired optimization algorithms that I've found useful on a number of occasions. Might be similar.
@AI_BotBuilder I like Quantitative Finance with Python,but I dont see that book as something you would use for algorithmic trading, but rather the stuff used in the corpo word?
Cool that you had Timothy Masters on the list. I have a bunch of his books and actually invited him to speak for our research group at Binghamton, since he lives near by. Very intelligent guy and super humble.
Not sure how I stumbled upon your channel, it was god send. Grabed a few of those books to read, they have a solutions for many of my problems from when i tried to deploy my own systems
Thanks. Nice sense of humor:) A little tip for newcomers: As someone who has been trading for the last 20+ years and consistently making money, I haven't read a single book about trading for the last 15 years or so. And you don't have to either.
Hi, can you make a video for 'the path of a trader in 2023?' I've been on a learning journey in trading, including algorithmic trading and machine learning for trading, for the past year. Despite acquiring knowledge, I'm facing challenges in actual trading execution. While I resonate with the book recommendations, I'm seeking guidance on a structured path as a beginner. Specifically, I want to efficiently combine learning through books with practical implementation, all while not having prior trading experience. What steps should I take to start trading as a beginner? Which books should I prioritize, and what types of trades should I initiate? My goal is to optimize my learning by blending theory with hands-on experience and to begin trading consistently as soon as possible.
Awesome list and thank you for taking your time to put this review together! Books are a great way to master a discipline and having a curated list like this is extremely valuable. Many here would probably agree. I'd also add "Quantitative Portfolio Management - The Art and Science of Statistical Arbitrage" by Michael Isichenko. This one is more advanced, but reading it is like doing a Master's in Quantitative Trading - every page is full of intellectual discoveries that collectively build up a solid foundation.
Thanks so much for that wonderful collection! I have a question, please, if you allow. When backtesting the algo, would you rather test each month individually or focus on the bigger picture, like 2023, 2022 or even a biyearly period? I just wonder whether the individual month or year is better for improving the results or does it depend on the personal goals for the algo?
Hey man! I am at a weird stage in my career development and I am wondering if you could answer a couple questions for me. I would really appreciate it. 1. What do you do for work? 2. What formal education did you have to get? 3. What would you tell your 5-years-ago self if at the time you only had a diploma in business administration and a couple mediocre, but profitable, algorithms? Much love brother. I am stocking up on these books!
1. I do trading. I don't live in resorts, sitting on the beach with my laptop. I live a very frugal lifestyle. 2. I have a bachelors in computer science from a cheap school. Waste of time/money. 3. I would tell myself to get off the computer, go to trade school, and become an electrician. I'm joking but only partially. This game is very hard, it took me ~2.5 years before I was profitable. If you want to pursue this stuff as more than a hobby prepare to spend the next 100 Friday/Saturday nights studying math instead of enjoying yourself. Hopefully that answer isn't too depressing for you, but it's realistic :)
I earn good enough return, higher risk but the return is also high. Actually, almost any system can make you a good money with good risk management, you just need to know where to exit before the profit will be taken away again to the market.
although i use mql5 for my strategies, i have been motivated by ur videos watched all videos and so inspired .your data driven approach is very so easily and fully explained . keep up the good work. 😁
hi Neuro, certainly great video and thank you very much for sharing the books. I have finished reading cybernetic trading strategies. The book is good but the author mainly uses Easy Language. Do you know any book that teaches machines learning and neural network, and uses Python in examples? if you do, please recommend it to me. Thank you very much.
Hi neurotrader, I am really grateful for your sharing. I have bought a few books upon your recommendation and am currently reading #The Leverage Space Trading model right now. Just for my guide, do you actually imply the concept of optimal f from Ralph? How do you adjust your maximum drawdown from his suggestion?
Can you point me to a resource or give some tips on how to build and test a "Bayesian" setup from multiple setups? For example let's say I have 3 setups, one on the 4 hour timeframe, another on the 1 hour timeframe and another on the 15 minute timeframe. My prior would be weighing the higher timeframes more heavily while taking a decision to long/short after a signal has been generated and also adjusting my Take Profit and SL as a linear combination of these three setups. But I want to be able to adjust this prior over the training data to arrive at some optimal combination and then test it. How should I proceed? I was looking at Bayesian Hierarchical Models but don't know if this is the right approach. The idea is to automate the concept of "multiple confirmations" that people look for when trading manually.
I've never had multi-timeframe systems work well for me, so I'm probably not the person to ask. The lower timeframes contain all the information the higher timeframes do, I just adjust the lookback of indicators to achieve mostly the same result. I've only used daily + hourly because because some alternate data comes in at a daily rate. My best guess would be to keep it simple. Test each setup individually, ensuring each has its own merit. Then wait for the signal from all three timeframes to trigger close together. Creating a single setup. Adjusting TP and SL could be done by assessing multiple ATR multipliers with three-barrier labels (see advances in financial machine learning). Then update the probabilities of each label with bayes after each trade. Selecting the one with highest probability of working. I don't know if this would be effective, just spitballing. As for a linear combination of the setups, Assessing and Improving Prediction Classification has a section about combining multiple models with a linear model. Idk how that ties into multi-timeframe though.
One good way to find out the 'best' result is to test it. Creating a variable score for each setup and combining different combinations based on weighting to identify the most ideal outcome based on returns, stability and predictability.
Hi, I'm a software engineer and I've been a manual trader for 7 years but only recently (past few months) got into algorithmic trading. What should I expect in terms of how much money I can make? Is it more of a full-time job thing or just a small passive income? Because I noticed a lot of profitable strategies have pretty small annual return for it to be a monthly income.
thanks for the video. If i want to learn how to develop EA to back test my existing trading strategy/collect data, what book/topic should i learn first?
Thank you! I trade several strategies. The thing to learn is how to develop strategies, rather than specific ones. As all strategies tend to have their performance decay over time. The donchian channel video on my channel is robust and very simple. It's a good starting point.
No. I made the strategy in 2019 and it worked great for me until early 2021. Then suddenly it stopped working. Not a slow decay in performance (the usual case) either, it just started bleeding money. I might make a video about it because I find it interesting. I eventually turned it off. But don't let that story dissuade you from Ehler's work. It was a weird strategy to begin with. I have cycle strategies I still use. Some using Ehler's stuff. The books provide a great intro to DSP for trading applications.
I would really love to find out about the net worth of these authors and if getting to the bottom of mathematics behind the market will translate to gains in the market.
You gotta love the markets, on the one hand you have dudes who jump head first without preparing and learn on their own, you have people like me who have much too brainrot to understand these high level topics so stick to lower level stuff, and you have the ultimate quants like in this video.
I also read Robert Carver's systematic trading, it's a great book and I plan to read smart portfolio by Robert Carver...If you have any other book that you would recommend it, please share it, thanks. Also, do you have any experience in using RTX graphic card to train neural network? if there is a good book about that, please let me know. I am very very interested in learning about it
Financial Engineering, Algorithmic Trading, Machine Learning Strategies... I think that all of these are meaningful to the general public when they are ultimately profitable. Do you have any automated trading tools or algorithms that generate consistent profits, even if they are small? If so, connect to your mock broker and update your earnings often, and you will have a huge number of subscribers and a lot of people want to know about everything you want to talk about. I have some ideas and strategies, but I don't know how to code, so I asked chat-gpt, and they weren't good at it. I envy you for being able to do this well.
@@KaiAlgo yes. ChatGPT adds simple signals to TradingView indicators and displays them on candlesticks, but coding complex algorithms with PineScript causes a lot of errors.
I assure you the general public couldn't care less about this stuff, even if I was making insane profits. Depends on what you mean by consistency. My "best" strategies are relative momentum strategies which are far from consistent. They do really well for a brief period once or twice a year and are dormant for the rest of the time. I would call Mean reversion more consistent, many small profits with the occasional awful loss. The chatGPT stuff for trading is all hype, I've seen a ton of youtube videos having chatGPT make a strategy (which they then call "AI trading" for clicks). When in reality it prints out some moving average crossover derivative that everyone has heard of. It's a language model, not a market model.
Hi mate, are you still looking for help with developing your ideas or coding your strategies? I help crypto traders build custom crypto trading bots. So if your ideas are for trading crypto, then maybe I can help? Please let me know if you would like to see a demo.
Is the python reference, that you mentioned, for Advances in Machine Learning, the github with jupyter notebook that covers only the exercise? Or the mlfinoab package that you have to pay for?
![ILLSLICK - KILLSHOT REMIX [FULL VERSION]](http://i.ytimg.com/vi/RIK8RrqIAzE/mqdefault.jpg)
I feel uncomfortable on behalf of those books
😂😂
😂
😁😁😆😆🤣🤣
🤣🤣🤣 broke the matrix
Why? Seriosly im curious.
1. Systematic traiding
2. Trading system and methods
3. Advances in financial Machine learning
## Risk Management
4. The Leverage Space Trading model
5. Mathematics of money management (Ralph Vince)
## trading indicators
6.
00:40 topics
1:27 trading systems and methods - enciclopedia
5:02 statistically sound indicators
7:18 testing and tuning market trading system
7:49 permutations
#wip
Nice, I’m reading Detecting Regime Change right now as I always had a different understanding about regimes. Went through the same struggles of brain melting seeing math on these books the first time, so for any beginner I would also recommend (although they are not directly linked to trading, these books helps you come up with things that never exist anywhere)
1. Python for Scientific Computing and Artificial Intelligence, Stephen Lynch (For absolute beginners, get your basics and logical thinking right)
2. Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R , Vincent Knight
3. Applied Evolutionary Algorithms for Engineers Using Python, Leonardo Azevedo Scardua
4. Quantitative Finance with Python! A Practical Guide to Investment Management, Trading, and Financial Engineering, Chris Kelliher
5. Machine Learning: Theory and Practice, Jugal Kalita
Finally all the books recommended in the video, every one of them is an absolute read, don’t know about the last one, I’m still reading it, and for professors Steve Brunton, I am following his video lectures during my free time instead of the book so I can make notes along with him.
Interesting list, I'll have to look into a few of those. The evolutionary algorithms book I've never seen before. A book I forgot to include is Clever Algorithms by Jason Brownlee. It's a collection of nature-inspired optimization algorithms that I've found useful on a number of occasions. Might be similar.
@AI_BotBuilder I like Quantitative Finance with Python,but I dont see that book as something you would use for algorithmic trading, but rather the stuff used in the corpo word?
How is it? can it help with detecting calm vs trending markets?
The underground content in this channel is pure gold for those who appreciate it. Subscribed.
Cool that you had Timothy Masters on the list. I have a bunch of his books and actually invited him to speak for our research group at Binghamton, since he lives near by. Very intelligent guy and super humble.
You owe these books child support now. 😂❤
Thanks for uploading a REAL video about quant/algorithmic trading. Instantly subscribed.
Or trauma support
Not sure how I stumbled upon your channel, it was god send. Grabed a few of those books to read, they have a solutions for many of my problems from when i tried to deploy my own systems
Keep going dude, You're killing it! Thanks for doing this.
Thanks. Nice sense of humor:) A little tip for newcomers: As someone who has been trading for the last 20+ years and consistently making money, I haven't read a single book about trading for the last 15 years or so. And you don't have to either.
So, you read trading books your beginner years😅
Which ones did you read in earlier years ?
So you mean that you have read in early years?
Man we need a full video on how to start algo trading and quantitative trading from scratch PLEASE
That’s what I’m looking for
You and everyone else
Hi, can you make a video for 'the path of a trader in 2023?'
I've been on a learning journey in trading, including algorithmic trading and machine learning for trading, for the past year. Despite acquiring knowledge, I'm facing challenges in actual trading execution. While I resonate with the book recommendations, I'm seeking guidance on a structured path as a beginner. Specifically, I want to efficiently combine learning through books with practical implementation, all while not having prior trading experience. What steps should I take to start trading as a beginner? Which books should I prioritize, and what types of trades should I initiate? My goal is to optimize my learning by blending theory with hands-on experience and to begin trading consistently as soon as possible.
I couldn't watch any further because of the creepy hand gestures.
Filtered
Haha
The stroking is very weird
seems like a veryy good niche material, glad to be in thousands who watched this
Awesome list and thank you for taking your time to put this review together! Books are a great way to master a discipline and having a curated list like this is extremely valuable. Many here would probably agree.
I'd also add "Quantitative Portfolio Management - The Art and Science of Statistical Arbitrage" by Michael Isichenko. This one is more advanced, but reading it is like doing a Master's in Quantitative Trading - every page is full of intellectual discoveries that collectively build up a solid foundation.
Good content, thanks for the suggestions and reviews.
Man you content is gold, thank you for sharing it! Continue the awesome work! Hope you the best, cheers from a brazilian fan
Can’t stop watching this kind of content enough.
I love TH-cam for this.
Thanks so much for that wonderful collection! I have a question, please, if you allow. When backtesting the algo, would you rather test each month individually or focus on the bigger picture, like 2023, 2022 or even a biyearly period?
I just wonder whether the individual month or year is better for improving the results or does it depend on the personal goals for the algo?
Brunton's book and series of YT videos are a delight, strongly recommended.
thanks for the lesson on how to massage books properly
4:15 trading inficators
7:08
THNAK YOU FOR THIS BOOKS
Hey man! I am at a weird stage in my career development and I am wondering if you could answer a couple questions for me. I would really appreciate it.
1. What do you do for work?
2. What formal education did you have to get?
3. What would you tell your 5-years-ago self if at the time you only had a diploma in business administration and a couple mediocre, but profitable, algorithms?
Much love brother. I am stocking up on these books!
1. I do trading. I don't live in resorts, sitting on the beach with my laptop. I live a very frugal lifestyle.
2. I have a bachelors in computer science from a cheap school. Waste of time/money.
3. I would tell myself to get off the computer, go to trade school, and become an electrician. I'm joking but only partially. This game is very hard, it took me ~2.5 years before I was profitable. If you want to pursue this stuff as more than a hobby prepare to spend the next 100 Friday/Saturday nights studying math instead of enjoying yourself.
Hopefully that answer isn't too depressing for you, but it's realistic :)
@@neurotrader888was it worth it?
@@neurotrader888noob reply, shoulda directed him to your course link or atleast affiliated ones.😂
@@darthjbender asking the real question
Beautiful list, I consider buying all of them probably.
Also cudos for your positive weirdness in the video :-D
Thank you for posting this video
I've been waiting. Thanks 👊
Thanks for sharing your knowledge
Never subscribed to a channel this fast before.
Im curious - does anyone here ACTUALLY have a trading bot which earns money or is everyone "smartly losing" all their cash?
I earn good enough return, higher risk but the return is also high. Actually, almost any system can make you a good money with good risk management, you just need to know where to exit before the profit will be taken away again to the market.
although i use mql5 for my strategies, i have been motivated by ur videos watched all videos and so inspired .your data driven approach is very so easily and fully explained . keep up the good work. 😁
Is there a way to get all the info from all those books in a single 1 hour video?
What about Automatic Investment Management by Robert Lichello?
Aren't these books too old? I'm sure alot of things changed, do you recommend something more up to date?
For some reason I have this desire to subscribe to the channel, and write 'wash me' on my car
This is how I touch my books so I KNOW I can trust this video
hi Neuro, certainly great video and thank you very much for sharing the books. I have finished reading cybernetic trading strategies. The book is good but the author mainly uses Easy Language. Do you know any book that teaches machines learning and neural network, and uses Python in examples? if you do, please recommend it to me. Thank you very much.
Like Queen band says, "I want it all, and want it now"
Hi neurotrader, I am really grateful for your sharing. I have bought a few books upon your recommendation and am currently reading #The Leverage Space Trading model right now. Just for my guide, do you actually imply the concept of optimal f from Ralph? How do you adjust your maximum drawdown from his suggestion?
my brother what are you doing to the books
Thank you @neurotrader for this list! For the books in th beginner category, which one do you think is the best to go directly to code in Python?
So considering the time invested in reading and understanding these works, was it worth it as an investment? (did you make money?)
No offense. Just wondering how much $$ making increased after you finished all these reading?
Can you point me to a resource or give some tips on how to build and test a "Bayesian" setup from multiple setups? For example let's say I have 3 setups, one on the 4 hour timeframe, another on the 1 hour timeframe and another on the 15 minute timeframe.
My prior would be weighing the higher timeframes more heavily while taking a decision to long/short after a signal has been generated and also adjusting my Take Profit and SL as a linear combination of these three setups.
But I want to be able to adjust this prior over the training data to arrive at some optimal combination and then test it. How should I proceed? I was looking at Bayesian Hierarchical Models but don't know if this is the right approach.
The idea is to automate the concept of "multiple confirmations" that people look for when trading manually.
I've never had multi-timeframe systems work well for me, so I'm probably not the person to ask. The lower timeframes contain all the information the higher timeframes do, I just adjust the lookback of indicators to achieve mostly the same result. I've only used daily + hourly because because some alternate data comes in at a daily rate.
My best guess would be to keep it simple. Test each setup individually, ensuring each has its own merit. Then wait for the signal from all three timeframes to trigger close together. Creating a single setup. Adjusting TP and SL could be done by assessing multiple ATR multipliers with three-barrier labels (see advances in financial machine learning). Then update the probabilities of each label with bayes after each trade. Selecting the one with highest probability of working. I don't know if this would be effective, just spitballing.
As for a linear combination of the setups, Assessing and Improving Prediction Classification has a section about combining multiple models with a linear model. Idk how that ties into multi-timeframe though.
One good way to find out the 'best' result is to test it. Creating a variable score for each setup and combining different combinations based on weighting to identify the most ideal outcome based on returns, stability and predictability.
I wish i loved investing as much as this creator's hand loves these books.
Thanks for your videos dude ♥
how about the book "algorithmic trading" by ernie chan. Seems like a good beginner book.
11:12: The tomes
This vid compelled me to subscribe. Thanks.
What is your avg yearly return?
how do you manage to read so many books, considering a person working full time + other obligations. which of those you would focus on?
No girlfriend. That will free several hours of your daytime. There, I solved it for ya!
The guy is stroking the book like it’s his dog
😂
Hi, I'm a software engineer and I've been a manual trader for 7 years but only recently (past few months) got into algorithmic trading. What should I expect in terms of how much money I can make? Is it more of a full-time job thing or just a small passive income? Because I noticed a lot of profitable strategies have pretty small annual return for it to be a monthly income.
this guy really love books🙂
Hi,
Can you make a video on how/where to deploy your model and what is involved in that process?
thanks for the video. If i want to learn how to develop EA to back test my existing trading strategy/collect data, what book/topic should i learn first?
I am fan of ypur contents man. Great
Why are you molesting the books?
I just subscribed your Patreon, which material or video should I start to learn your trading strategy? Thanks.
Thank you! I trade several strategies. The thing to learn is how to develop strategies, rather than specific ones. As all strategies tend to have their performance decay over time. The donchian channel video on my channel is robust and very simple. It's a good starting point.
Thanks for sharing, a few of them are new to me, cool! This one with Ehlers cycles you've said worked for you, is it still functional?
No. I made the strategy in 2019 and it worked great for me until early 2021. Then suddenly it stopped working. Not a slow decay in performance (the usual case) either, it just started bleeding money. I might make a video about it because I find it interesting. I eventually turned it off. But don't let that story dissuade you from Ehler's work. It was a weird strategy to begin with. I have cycle strategies I still use. Some using Ehler's stuff. The books provide a great intro to DSP for trading applications.
I would really love to find out about the net worth of these authors and if getting to the bottom of mathematics behind the market will translate to gains in the market.
please suggest some books or papers focusing on mean reversion strategies and concepts.
This G didnt even put the amazon ref links on the description WOW, ty for the vid btw
Now this is a man that loves his books😅
thanks for your sharing
Thank YOU
Them books love it
You gotta love the markets, on the one hand you have dudes who jump head first without preparing and learn on their own, you have people like me who have much too brainrot to understand these high level topics so stick to lower level stuff, and you have the ultimate quants like in this video.
I couldn’t watch it after the first minute with the “hand”. Why do that??
can you share the names of the books as a text document?
How much moola did you rake in after reading all these books?
Hello nurotrader! Did you learn algo trading all by yourself or did you go to school for that?
I learned from reading these books mainly. I have a 4 year degree in computer science which I suppose helped with the coding part of algo trading.
I also read Robert Carver's systematic trading, it's a great book and I plan to read smart portfolio by Robert Carver...If you have any other book that you would recommend it, please share it, thanks. Also, do you have any experience in using RTX graphic card to train neural network? if there is a good book about that, please let me know. I am very very interested in learning about it
trade like a stock market wizard by mark minervini is a good book. It teaches you how to be a quantitative investor.
Books unite! We will no longer be touched!
I typed all the 17 books but forgot to click comment and cut the tab !!!
So I need to get these in audio books and get these in PDF versions as well…
Appreciate your mind my dude..
Any other fellow coders?
i recommend you just get the pdf and read it or physical copy bro
Thank you ✌️
As a total newbie is Leveraged Trading by Robert Carver a good beginner book before reading systematic trading? Thanks
Financial Engineering, Algorithmic Trading, Machine Learning Strategies... I think that all of these are meaningful to the general public when they are ultimately profitable. Do you have any automated trading tools or algorithms that generate consistent profits, even if they are small? If so, connect to your mock broker and update your earnings often, and you will have a huge number of subscribers and a lot of people want to know about everything you want to talk about. I have some ideas and strategies, but I don't know how to code, so I asked chat-gpt, and they weren't good at it. I envy you for being able to do this well.
Chat gpt is suitable for optimising or explaining codes, not to make industrial robust. Especially awful at MQL5. I agree with all you said 👍
@@KaiAlgo yes. ChatGPT adds simple signals to TradingView indicators and displays them on candlesticks, but coding complex algorithms with PineScript causes a lot of errors.
I assure you the general public couldn't care less about this stuff, even if I was making insane profits.
Depends on what you mean by consistency. My "best" strategies are relative momentum strategies which are far from consistent. They do really well for a brief period once or twice a year and are dormant for the rest of the time. I would call Mean reversion more consistent, many small profits with the occasional awful loss.
The chatGPT stuff for trading is all hype, I've seen a ton of youtube videos having chatGPT make a strategy (which they then call "AI trading" for clicks). When in reality it prints out some moving average crossover derivative that everyone has heard of. It's a language model, not a market model.
@@KaiAlgo use c++ then modify it to mql5.
Hi mate, are you still looking for help with developing your ideas or coding your strategies? I help crypto traders build custom crypto trading bots. So if your ideas are for trading crypto, then maybe I can help? Please let me know if you would like to see a demo.
Universal tactics
Stocks on the move
Cybernatic trading strategies
Omg you said niche the way i say it, so many people pronounce it nit-ch
Do you have backtest?
Is the python reference, that you mentioned, for Advances in Machine Learning, the github with jupyter notebook that covers only the exercise? Or the mlfinoab package that you have to pay for?
Neither. The book has python code printed in it. Idk if its online somewhere, I just copied it out manually.
Great books. Thnx a lot ❤
How nice to read and study. I wish I had more time. 24 hours is very few for 1 day😃
_Must_ you caress the books?
I like your Chanel I hate your hands moving😂
I was hoping someone to say this
Can't watch the video
I'm coding my own strategies
Will reading all these books make me rich?
"I like money and, I have no shame" fucking killed me
Me gustaria ser como tu, soy programador y estoy en el trading. Hago trading manual y me gustaria hacer trading algoritmico.
Thanks for the great content. What would you advice to someone that sucks at maths but really wants to make it ? Where to start ?😊
It may sound corny but the most important thing is you try your best, and you don't give up. Just practice every day.
@@Dom-zy1qy not corny actually, thx for the answer ! But which maths topics are essential for algotrading ?
@@issasakananu1532ls if you get an answer let me know
@@issasakananu1532basic mathematics only...
Great thanks.
thank you bro
oh men, what do i got involved my self into? yt algo?
Can't you afford a nicer desk? How good can any of these books be?
all cool staff.
-Fooled by Randomness
by Nassim Taleb.
-15 Lies About Trading and Investing and
-Fooled By Technical Analysis
by Michael Harris
The way you ‘handle’ those books got me laughing 😂