Surely this applies less to trading algorithms which are constantly reanalysing data and results, and changing overtime to fit/further understand market conditions and other variables that would normally erode any given edge overtime.

I agree I wouldn't want to give my strategy to numerai either

@@pineapple3832 you're not giving your strategy to numerai, you're uploading predictions. They have no idea how your model is working and what the strategy behind these predictions is. That's how I understand it at least.

@@mahdif1000if they don’t, how is it that they verify the uniqueness of your model?

In many ways they are similar because they can be reduced to a form of statistics. In this context I think a good traditional example is using moving averages to approximate future prices. A simple moving average has two features, time and price. Also the function of the formula for SMA is of fixed value. A machine learning algorithm could have practically infinite features. Those features can be things price, time, volume, the sentiment of the news, and quantity of hashtags on a ticker. Additionally a machine learning algorithm could continually rewrite the function it uses to predict prices.

Successful quants have other aspects added to machine learning: signal processing and data fusion at least. These are topics in electronic engineering used in radar tracking, audio and video processing. Another aspect is decorrelation, which is not an easy topic. I remember Jim Simons in one interview saying they use neural network without feedback, a very new and not common approach, i guess because they dont want to feed back the errors inside the learning network again in the network. I guess they prefer to reconfigure the network in real time with continuos flows of data.

@@dfolegna that is interesting about the NN without backwards propagation , but there was a paper released by Hinton forward-forward but almost adversarial in that one forward pass learns one objective and the other is a discriminate but not two distinct networks like GANs. I wonder how Jim’s team learn the model/weights without the feedback

Lair

@@msa7020 Sorry to disappoint but only scam bots will reveal to the world how much they earn daily and talk to themselves on how grateful they are to Linda.

All the "zero fee" trading platforms basicly make money by selling trading data of their clients to "high frequecy" trading bots ownd by big players who will trade against their users and have cheap approach to market.

@@fpxy00 I don’t recall him mentioning client data at any point in time throughout the interview. But if he does imply it then you’re spot on and this is in no way ‘solving’ the market, it’s just hedging away customer trades for the house to win.

Ah you have no idea. There’s so much to learn from the data you just named. So many ways to use the open high low and close algorithmicly. Man 😂

@@noobbeatswhat are the many ways to use them? I would be curious to know

This is from their FAQ "Richard Craib has stated that the training data represents global stock market data."

Hi. I’ve been forced to find additional sources of income as I got retrenched. I barely have time to continue trading and watch my investments since I had my second daughter. Do you think I should take a break for a while from the market and focus on other things or return whenever I have free time or is it a continuous process? Thanks.

@@theresagarcia1218 Quitting may not be the best approach if you ask me. This is where an AI comes into the picture. I barely have time to trade myself as my job swallows up most of my time. 'MARGARET ANN WARNKEN", a licensed fiduciary whom has made me over 5 figures in profit in less than seven months, handles my investments. I could leave you a lead if you need help.

@@mayacho4910 Oh please I’d love that. Thanks!

@@theresagarcia1218'MARGARET ANN WARNKEN"

@@theresagarcia1218Lookup with her name on the webpage, omit the quotations though.

You are correct in that all models are wrong, only some are useful. The human mind and the best models we have to analyse stocks or nature etc. are a great example! The same goes for virtually everything one can concieve. Humans will always be there to perform high level judgement and improve these models, but as AI becomes more advanced and as we improve the data it uses, that judgement will be used largely to improve the techniques and scope of said AI, rather than manually tweaking the underlying models ourselves. An AI that is continuously processing and reprocessing an increasingly large number of data sets (price, indicators, sentiment, fundamentals, even its own trading results and more), training itself on new variables and effectively discovering trading systems on its own with constant human improvement could very well create a consistently successful trading system (until an unforseen variable not yet calculated comes into play, which it could then incorporate). To a degree, what I described above is essentially what professional stock traders already do! They just traditionally use their brain (a neural network trained on trading systems and life experience) and analysis software to speed it up. Any edge that a human trader has over an AI trading system is largely due to the data sets they have available to them (fundamental analysis, or social factors not yet fully processed/understood by machine learning) and the superior computational power of the human brain. Algorithmic trading is never going to be set and forget. Constant iteration, supervision and expertise is required to improve the accuracy of the AI as it slowly understands the sheer number of factors (human and technical) that are involved with the markets.

Yeah, the 3 month holding time HFT strategy of Numerai. Maybe watch the video before posting how it's wrong?

@@AnthonyBerlin Didn't say it was wrong ... don't really care... I was just stating how true HFT works.

@@GambrellTv Good for you I guess? I mean, noone asked about HFT and the video wasnt about HFT and you literally said "Not hating, but this is not how HFT works".

HIIII YAH!!!! All good@@AnthonyBerlin I wish you the best buy LOW, Sell HIGH ..no matter what!!! Have a good one!

@@GambrellTvaye you get it

he's not referring to historic data, he's talking about features that affect a stock price, if you can implement many of the important features, you can get a legit idea if a stock is good or bad for a short time hold

Their performance sucks, so I would say that's highly unlikely

sounds South African/Australian/New Zealand to me. Reminds me a bit of Elon's accent.

💀

🤣🤣🤣🤣🤣🤣

Drukemiller, drunkenmiller, lol.

he might but it’s still possible. just keep testing until it works

You fool go focus on becoming a hairdresser to help humanity. With this knowledge you could build schools for children instead of being one teacher, you could pay 100 teachers for years in low paying countries.

Your mindset looks like the mindset of a lazy fake Saint

Trading creates value by creating liquidity, ur also taking risk, and ur giving money to the companies at the end of the day

@@rafsanimam5647 Yes, you are making a profit for the companies, but that is NOT value. Risking your money to create a profit is also NOT creating value. No value is created at any point.

@@the-selfish-meme7585 i make profit then use it for consumption driving economic growth or i invest it into other companies so they have funding for innovation. Im still creating value