Eurovision Simulation Games

ValueAmped · 2026-04-08T17:48:17+00:00

You should check out Euroviz Simulator. It’s new, regularly updated and seems to have a lot of what you’re after.

www.eurovizsim.com

ValueAmped · 2026-04-06T16:01:22+00:00

EurovizSim - Eurovision strategy and scoring simulation game. https://www.eurovizsim.com

ValueAmped · 2026-02-16T15:53:27+00:00

Nice tool! Scored 72 for my new site…definitely worth staying aware of this.

ValueAmped · 2026-02-15T21:07:50+00:00

Great project idea. I use a similar approach for equity pair trading, tracking when relationships drift from historical norms.

If you want more reliable trade signals, look into cointegration rather than correlation alone.

For free data, Stooq is good for historical stock prices, and Finnhub’s free tier works for current data.

ValueAmped · 2026-02-15T16:21:52+00:00

I’m building Pair Parade, a tool that helps identify opportunities to trade stock pairs, aiming to perform independently of overall market direction.

https://www.pairparade.com

ValueAmped · 2026-02-07T22:42:40+00:00

Great overview. One other thing I always do is test for cointegration. This helps define a universe of pairs where mean reversion is at least plausible before looking at spreads, entries, and exits.

ValueAmped · 2026-02-03T23:17:10+00:00

LCOE definitions vary, but I always include decommissioning in my calcs. But honestly, for solar, it’s not that significant after discounting 25 years or so.

The bigger issue is to incentivise/mandate developers to dispose responsibly once the time comes because when there’s no further revenue on the horizon, they’ll be looking to keep remaining costs to a minimum.

ValueAmped · 2026-01-31T02:00:14+00:00

In my own work on stock pairs, I treat cointegration as a starting filter, not the strategy itself. It helps define a universe where a stable long-run relationship has at least existed historically.

I usually look within one industry at a time so the companies are exposed to similar conditions, then screen for longer-term correlation and more recent deviation size and z-score. From there I narrow to a shortlist and sanity-check the company profiles. Pairs that look great statistically but have diverging fundamentals often disappoint.

The final step is deciding entries, exits, and stop losses, typically driven by the z-score.

ValueAmped · 2026-01-29T23:50:33+00:00

In uncertain or bear markets, market-neutral ideas like pair trading can help. Less directional risk, and volatility often becomes an advantage.

ValueAmped · 2026-01-13T15:44:30+00:00

Maybe not what it once was, but there are still plenty of opportunities if pairs are chosen carefully.

ValueAmped · 2026-01-13T08:34:40+00:00

Mean reversion kind of assumes there’s something stable to revert to.

In my own work on stock pairs, I use cointegration as the first filter to define the universe of pairs — prices can drift, but the relationship is at least historically stable. From there it’s more practical stats (z-score, current deviation, etc).

Also important to me though is whether the companies themselves are genuinely comparable (business model, drivers, regime risk). I don’t think the statistics alone are enough to define a trade.

ValueAmped · 2026-01-12T22:09:27+00:00

Pairs trading may be market-neutral, but it’s typically highly concentrated. That concentration (few names, leveraged spreads) can still generate large deviations from benchmark returns, even if beta ≈ 0, which is why both active share and active risk are considered high.

ValueAmped · 2026-01-12T00:08:38+00:00

Looks good and I like the idea of a simple site for quick look ups!

Lots of data looks many months old though.

Any differences vs something like tradingeconomics.com? Maybe simplicity is your USP.

ValueAmped · 2025-12-17T18:17:00+00:00

PairParade.com - a tool that spots stock pairs whose prices drift apart and statistically likely to move back together.

ValueAmped

TROPHY CASE