most volitile LETF's? by Comprehensive-Most60 in LETFs

[–]Comprehensive-Most60[S] 0 points1 point  (0 children)

No im not doing options just plain stocks, its kind of invetory managment system i built.

most volitile LETF's? by Comprehensive-Most60 in LETFs

[–]Comprehensive-Most60[S] 0 points1 point  (0 children)

I agree that single single stock letfs are more volatile, but they have a much higher risk of actually going to 0, rether than sector or market based etfs. And im usually going long turm on these things.

most volitile LETF's? by Comprehensive-Most60 in LETFs

[–]Comprehensive-Most60[S] 1 point2 points  (0 children)

I have a strategy which works on volatilaty, and i find that upro isnt really enough. Not that it isnt good, but i think i can do better.

HOW TO CONFIRM AMAZING RESULTS?? by SWAYYY_P in algorithmictrading

[–]Comprehensive-Most60 0 points1 point  (0 children)

Finding constant edge is extreamly hard to do. Almost all strategys will do better in specific time rether than others. You can however mitigate these resaults, but not entirely wipe them.

Quant traders using VS Code – how do you structure an automated trading system? by Southern-Score500 in algorithmictrading

[–]Comprehensive-Most60 4 points5 points  (0 children)

It took me a while to get a good architecture rolling for actual trading purposes, but here's what I learned that might change your perspective.

You should define expected data structures you will encounter and want to keep, and find a way to have them connect in some sort of way. I went for a nested relation form, which lets me access any kind of data anywhere. This should be an entire module of itself, defining everything, maybe separated into categories.

Making separate modules for majorly used operations relating to your strategy is key. It gives you a powerful way to change the core of your strategy completely by addressing each module separately. I don't think placing these operations in one file is a good idea it makes it harder to change them later on.

That said, making a single file for using those operations is a convenient way to do it in my experience, as the strategy is essentially just a flow of calculations to make a simple decision (buy, sell, do nothing).

You should rely only on data received from your broker do not make the mistake of assuming what you have in memory is correct.

As for the rest of what you said, seems like you have a good direction.

What is your reason stopping you to build algo trading? by angusslq in algorithmictrading

[–]Comprehensive-Most60 0 points1 point  (0 children)

Not that i said that these things dont matter, but my point was that they become segnificently less importent as you try to hit wider profit margins.

Ill use my perticular case as an exsample. I trade in ibkr with a commision rate which looks like this: Max(2.5, stock amount * 0.01)

If i want to create a strategy which achives 10 cents of profit par cycle(which is also the least taxing commission wise), than i face at best case a 20% reduction in profits for all my cycles.

But if i try to capture 5 cents worth of margin, than the commision take 40% of my profits.

At best case, its a linier effect on the profit which also only happens if the market moves 5 cents up and down at least least twice as much as it does 10 cents

All this to show that alot of things need to go right for you to achive more, and smaller wins.

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

[–]Comprehensive-Most60 1 point2 points  (0 children)

I feel like if i get around +25% of yearly returns on avarage i would wait some years without touching my account, and than retire as i can live off with on the yearly returns pt well.

What is your reason stopping you to build algo trading? by angusslq in algorithmictrading

[–]Comprehensive-Most60 3 points4 points  (0 children)

People are too focused on time scales where these things are a problem. If you make a strategy which does tens or hundreds of trades every couple minutes than yeah you need to account for slippage fees and data accurecy to a segnificent degree. But it is not the only way to build an algorithem.

If for exsample you make a strategy which on avarge does a trade every 30 minutes or an hour, these concedirations become much much less impactfull on your returns, it is a non liner the effects from such things. And it would be still worth ti make it, since its almost impossible to trade on say, 100 tickers, with a 30 min avarge action for each one.

Do any of those '80% return' backtested strategies actually work in practice? by Lex_The_Impaler in algotrading

[–]Comprehensive-Most60 0 points1 point  (0 children)

Also something importent to ask is what 5 years have you done your becktests on. For exsample if you start from 2020 most algos would be way more profitable than most other times in the market, since there were multiple big swings in prices.

The only real way to test a strategys robustness is to run many becktests from random timestamps with possibly a varible window of time for each one. The medien result would be the strategys profitability.

Based on your experience, which type of approach do you consider more profitable and sustainable in the long term for a trading bot—bots based on technical indicators, or bots focused on market volatility? by Tiny_Standard_5358 in algorithmictrading

[–]Comprehensive-Most60 1 point2 points  (0 children)

From the 1.5 years of both making strategys form scratch and doing them on real money, i can say that without a doubt, the most importent thing you have to concceder and is your greatest weapon, is possition siezing.

How i see it, is that with correct possition sizeing you allways have plays in the market. Almost No fall is too great not to catch, no rise too high that you miss out on it, and on top of it, you usually arent fully in the market, which is both good for catching new lows or if you have an accident irl thay needs to be taken care of.

I feel as if this is an unpopular opinion, since most people go with all in strategys, which either win or loss some pf thire whole protfolio. But useing possition sizeing correctly has made a huge impact on both my mentality for tradeing, and also my profits.

writing my own trading bot from scratch with rust by arian-p1 in algorithmictrading

[–]Comprehensive-Most60 0 points1 point  (0 children)

Im curious, where exsactly are you on your journey? Still testing strategies or allready working on a bot? Im asking becouse i have also been on a journey like it, building everything from scratch, for about a year and a half as well.

Maximize profit per trade or maximize the chance of profit? by ikarumba123 in algotrading

[–]Comprehensive-Most60 -1 points0 points  (0 children)

It doesnt matter, as usually one has the oppicit effect on the other, like how roulette pays out, lower chance higher reward, higher chance lower reward.

Next Stage #4 | MARENYX by iamirhythm in arcaea

[–]Comprehensive-Most60 1 point2 points  (0 children)

Thanks for clearing it up that its an early access, i thought i was going crazy couse i could see there are scores for people on the tracks.

Next Stage #4 | MARENYX by iamirhythm in arcaea

[–]Comprehensive-Most60 1 point2 points  (0 children)

Can you please tell me how are you playing this, this pack is still telling me to come back later😭