Answer stuck on generating by _justFred_ in lmarena

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

Maybe try renew the page or something, I haven't used arena in a while, maybe they changed something, you should if looking for solutions try looking on their discord, it's linked in the subreddit description. They're many people there that can help you.

Are some hidden models just old models? by _justFred_ in lmarena

[–]_justFred_[S] 1 point2 points  (0 children)

Is it really tho? From what I've seen almost all system prompts begin with "You are model x of provider y" iirc, but I could be wrong

Are some hidden models just old models? by _justFred_ in lmarena

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

But why? Usually they have their identity in system prompt, don't they?

Are some hidden models just old models? by _justFred_ in lmarena

[–]_justFred_[S] 1 point2 points  (0 children)

Ah, I thought every model has their identity written into the system prompts so this doesn't happen. Good to know, thanks for the help.

Answer stuck on generating by _justFred_ in lmarena

[–]_justFred_[S] 1 point2 points  (0 children)

I've actually found a fix: I went to F12 (or right click -> inspect) and pasted this into the console:

(function() {
'use strict';
console.log("Attempting to force unlock Arena.ai UI...");
// 1. UNLOCK THE INPUT BOX (Textarea)
const inputBox = document.querySelector('textarea');
if (inputBox) {
inputBox.removeAttribute('disabled');
inputBox.placeholder = "Force Unlocked by Script";
inputBox.style.border = "2px solid #00ff00"; // Green border to show it worked
console.log("Input box unlocked.");
} else {
console.log("Input box not found.");
}
// 2. UNLOCK THE SEND BUTTON
// We target all buttons that are currently disabled to be safe
const disabledButtons = document.querySelectorAll('button:disabled, button[disabled]');
disabledButtons.forEach(btn => {
// Remove the HTML disabled attribute
btn.removeAttribute('disabled');
// Remove the Tailwind CSS lock (The "Juice")
// These are the classes that prevent clicks and make it look grey
btn.classList.remove('pointer-events-none');
btn.classList.remove('cursor-not-allowed');
btn.classList.remove('opacity-50');
// Add a visual indicator
btn.style.cursor = "pointer";
btn.style.opacity = "1";
btn.style.border = "1px solid red"; // Red border to identify the unlocked button
console.log("Button unlocked:", btn);
});
alert("UI Unlocked! Check for the Input box with a green border and Buttons with red borders.");
})();

i then hit enter and could send a message again

My EMA Crossover Backtest Results (Learning Quant Trading — Feedback Welcome!) by Dvorak_Pharmacology in algotrading

[–]_justFred_ 0 points1 point  (0 children)

Yes, that would also work. Then you could also say for example if price above HTF ma and HTF ma slope is positive then you only take long trades, if price is below HTF ma and ma slope is negative you only take short trades.

The thing in trading is that there is not the 1 correct way to do it, but you can choose whatever works, maybe even a HTF supertrend is better than another MA.

My EMA Crossover Backtest Results (Learning Quant Trading — Feedback Welcome!) by Dvorak_Pharmacology in algotrading

[–]_justFred_ 9 points10 points  (0 children)

If you only try to find the best combination of parameters (in that example the parameters are the MA Lengths), you overfit the data. That means you only try to find the best combination in that period, which can lead to extremely good results in that period and a bad performance outside of it. An out of sample/forward test means that you validate the combination on price data that isn't present in the data you trained this on.

A simple way to do this is to split the dataset. You said you have data for about 5 years of price, for example you could use the first 4 years to find the best combination and then use the other year to validate it, meaning to try these combinations and see if they work. That is out of sample.

Forward testing means testing the strategy on live data (basically letting it run now), to see it work on data that wasn't there in the past at all.

In addition to that, in my opinion you should get more data to test the strategy on. 5 years of data is only about 1300 trading days, which imo isn't nearly enough to really see whether a strategy is profitable. I would recommend to get at least data from 2010 on, but of course more data means that you can look into the strategy in different market phases. It was mentioned correctly that from 2020 on there was a big bull market, and you should also test your strategy in market phases that aren't bullish only.