JSParticipant
Veteran
This is a backtest, of my (live) algo vs Buy & Hold, over the last two years, both 1 contract…
Awesome performance JS! Congratulations!
That settles the debate on Algo vs Buy and Hold! 😀
Good job, this is impressive. Any chance to tell us more about the strategy used? Trend riding, mean reversion, breakout…? 😉
JSParticipant
Veteran
You can compare the foundation of this system to “Smart Money Structure”…
Price action determines the structure, and positions are taken at a “Break of Structure”…
The strong point of this system is timing…
The Nasdaq, with its high volatility, is the best candidate for this system…
Thanks JS for the tip, that’s very interesting. Ok, so that’s “long only” right?
JSParticipant
Veteran
Both long and short trades, with the short positions offering a better risk-reward ratio than the long ones…
Thanks for the transparency JS. Proof that you are generating real alpha and have a track record.
You’ve built the dream. Nearly all alpha I generate comes from manual system trading, automatically it seems we (I) are trading mostly Beta. Beta is fine for a pension plan and index out performance but alpha generated from bots is hard to come by IMHO.
I see this as very motivating. Thank you.
@JS
I see this algorithm is labelled Time Scaling, but also standard risk.
My question is, does this use a form of money management by way of further entries as separate system trades while core trade in profit? Not treating the trades as a pyramid rather, using the close > tradeprice as a condition to further entries thus increasing exposure?
This is how I snowball manual trades by only adding on further system entries that can be different systems but as I am already correct the probability goes through the roof giving something that starts around a 1:1.5 to 1:10 etc.
I’m aware your system may not use stops.
Thanks
JSParticipant
Veteran
Hi CoinCatcha,
As you can see, this is a new system based on “structure”…
Don’t pay too much attention to the name (the hardest part 😉); it comes from an asymmetrical structure in time. The term “Standard Risk” simply refers to the use of one (standard) contract (for comparison with other systems)…
As I say with every new system, this is my best one… (my son no longer believes me after the hundredth time 😉)…
I was genuinely surprised by the results that came out of this experiment…
No indicators and no “stops”, because everything I try with them has a negative effect on the system…
It’s not a perfect system (if such a thing even exists), because “structure” also has a vulnerable side, namely “chaos.” In times of war or during yet another energy crisis, there is always chaos and the system’s structure is hard to find—but it’s also surprising how quickly everything recovers…
Kind regards,
Jaap
that is interesting for sure! Time in market = 98%?? You basicly always long or short?
guessing you dont have premium account? You could get backtest data on NQ from august 2021 -> 2026 and maybe stupid question but why not buy premium account? Is it the cost? you do around 38 trades per month if im reading the stats right, that would drasticly reduce the cost of premium 🙂
the runup in 2025 is wild, guessing you went short around top ish and just went with it all the way down?!
Man im super impressed lol, that crazy low drawdown, the insane time in market, longs and shorts seemingly perfect timings.. Could you let us know how many conditions/rules you got? Is it some magic indicator or is it 100 indicators?! Please give me a hint of your magic sauce lol!
JS wrote: No indicators and no “stops”, because everything I try with them has a negative effect on the system…
jebus89 no indicators JS says.
Must be using price action as an indicator though.
How many lines of code is it JS please … we want to buy your secret sauce! 😀
JSParticipant
Veteran
Here is the backtest over 200k units…
My code consists of about 50 lines…
No indicators, only price action…
It is all based on visualizing the actions of buyers and sellers…
Congrats JS for finding the edge and being able to extract it.
Out of curiosity, if I may asked, and without having to give to much away about your algo, how/why did you choose the 10m timeframe?
If I understand correctly your previous comments, your edge should be more or less timeframe agnostic, correct? So why 10m?
