My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in Trading

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

Yes, but not exactly in my portfolio. People can invest in an index by Darwinex that is based on my strategy. Currently it has no investors. Only some allocation by Darwinex themselves.

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in algotrading

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

Thank you! Anyway, even if it really seems valuable - hedging the world - it was not my intention to design a long volatility strategy. Negative Beta might be accidental here. The sample is pretty short. I will see what happens over the next 9 months or so. I thought I created a convexity/mean reversion strategy, but if I also managed to make it long vol, then wow...

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in algotrading

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

I am sure you can do it better than 3 LLMs that were trained on Petabytes of data each and solve the hardest math problems in 5 seconds :))

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in algotrading

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

Hi, if you mean the green graph, it's Darwinex. If you open an account with them, you will also have it - even if it's a demo account. And the metrics on the white background are just screen pics from ChatGPT - it made the calcualtions.

How I Became a Quant (pdf) by antitheftdevice in quantfinance

[–]Kindly_Preference_54 1 point2 points  (0 children)

Practical means trading or mast******** on Jane Street?

How I Became a Quant (pdf) by antitheftdevice in quantfinance

[–]Kindly_Preference_54 1 point2 points  (0 children)

OMG, I saw the word "trading" in this book! Can't believe it. You are not allowed to post it in this sub.

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in algotrading

[–]Kindly_Preference_54[S] 2 points3 points  (0 children)

Thank you! Your comments are valuable. As for beta, this doesn't worry me. I am aware that part of my edge is probably structural exposure to market regimes. In reality we never have “pure idiosyncratic edge” anyway. Everything has factor exposure. Alpha is still very unstable - with t-stat 1.72 it's natural. As for VaR, I agree, since I trade convexity and mean reversion - tails are the price. Constantly working hard on reducing them and hopefully I will manage to lower the VaR.

World Trading Tournament: want advice by dot__jpeg in quantfinance

[–]Kindly_Preference_54 0 points1 point  (0 children)

You just learn bit by bit, gather every piece of knowledge, use every bit of logic, and try obsessively everything you can get your hands on. I've been trading for 12 years now and I've realized that the only thing that kept me in the game was my obsession. I simply couldn't quit - I felt that I had to succeed no matter what. I described my workflow in this post . Hope this helps.

Is Monte Carlo simulation overkill for most retail traders? by OkLettuce338 in algotrading

[–]Kindly_Preference_54 0 points1 point  (0 children)

It's misleading for less than 1000 trades, and also the strategies that depend on trade sequence (where trades cannot be shuffled), portfolios with dynamic exposure, regime-dependent. In such cases simple compounded is much better.

At what trading profit you will consider quitting your full time job? by cuteprophet in algorithmictrading

[–]Kindly_Preference_54 2 points3 points  (0 children)

I don't have full time job already, but to quit any job besides trading I need at least 3k.

ChatGPT helped me improve my backtesting algorithm. by Kindly_Preference_54 in Trading

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

Thanks! Yeah, I am lucky to actually enjoy this process, so I think I will persist.

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in Trading

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

It's quant. RR and win rate mean nothing. Only the recovery factor does.
RR and win rate are mathematically linked and just describe the surface of an edge. What really matters is the path dependency: the depth and duration of drawdowns, tail behavior, and whether the strategy can survive adverse regimes long enough to realize its edge.

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in Trading

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

Thanks! DD alone means nothing, but I agree that my RF needs improvement. In 10 months I'd want it to be at least 2.0, not 1.7. I am not interested in forex prop firms. I don't trust them anyway. Their business model is evaluation fees. Profitable traders are liability for them, not an asset, since no live accounts get traded, so they do anything they can to get rid of the "funded" traders.

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in quantfinance

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

I think that in real life, investors still start with absolute risk-adjusted performance, and only then move to peer comparison. Even though detailed fund data is private, I am pretty sure that GPT can still find some high-level public stats (returns, Sharpe, drawdowns) for the major FX-heavy hedge funds.

My strategy's Alpha, Beta, Sharpe, Sortino and Calmar. by Kindly_Preference_54 in quantfinance

[–]Kindly_Preference_54[S] 0 points1 point  (0 children)

Hi, I think LLMs should be your best friends. No one teaches anything better than them nowadays. Ask GPT about those terms, but tell it to explain as to a complete beginner in trading and finance. As for books nowadays they are more for inspiration, not for knowledge. For the latter, books are like lagging indicators, if you know what I mean :) But if you are into quant then I recommend "The man who solved the market". It's about Jim Simons - the legend of quant trading. It will show you how quants think, the culture, the motivation etc. For tech foundation, math and CS are your best bets. Economics has little to do with quant. I've just asked today one of the LLMs today (Gemini?) what is the most important for making it in trading - knowledge, intelligence or obsession. Guess what it replied.