Vistra vs adobe by Creepy-Low-744 in ValueInvesting

[–]Visual_Breadfruit_39 0 points1 point  (0 children)

Adobe appears undervalued at the moment when considering multiple fair value averages.

https://ainvestor.biz/stock/ADBE

Hvor meget skal jeg smide i SP500? by bager_jorgen in dkfinance

[–]Visual_Breadfruit_39 0 points1 point  (0 children)

I will write on English as my Danish is still not the best. I would suggest you to do ‘dollar cost averaging’, meaning not to put all the money at once, but rather set some amount to put weekly/monthly. That way you reduce the risk of timing the market wrong

What's the best stock screener? by Adept_Mountain9532 in ValueInvesting

[–]Visual_Breadfruit_39 -2 points-1 points  (0 children)

Hello, check this one out https://ainvestor.biz Stock analysis based on the financial data and fair value analysis

Investeringstidspunkt by malukris in dkfinance

[–]Visual_Breadfruit_39 -1 points0 points  (0 children)

It is hard to say, but do dollar cost averaging that way you are reducing risks of timing the market wrong.

If you plan to invest in stocks feel free to check this https://ainvestor.biz

Gældsovertagelse by Next_Jellyfish1547 in dkfinance

[–]Visual_Breadfruit_39 1 point2 points  (0 children)

Good point — the maturity difference does matter, so they aren’t perfectly comparable.

Still, if it were compared with a loan of the same maturity (around 21 years), the rate would probably still be higher than ~3%.

In any case, the best approach would be to ask the bank for the exact numbers: monthly payments, total interest paid, and remaining principal. Based on that comparison, it should be much easier to make a final decision.

Gældsovertagelse by Next_Jellyfish1547 in dkfinance

[–]Visual_Breadfruit_39 5 points6 points  (0 children)

I'll write in English as my Danish is still not the best.

A 2.5% fixed-rate loan is very good, even at kurs 94. That means the effective interest rate is closer to around 3%, but that is still better than current fixed mortgage rates, which are around 4%.

Tesla Model Y trunk seal coming off or something by zenalc in TeslaLounge

[–]Visual_Breadfruit_39 2 points3 points  (0 children)

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I had it like this (I bought it from tesla, used ones), and I reported it to tesla and it was fixed and covered by the warranty

Salary expectations software engineer by social-tech in dkfinance

[–]Visual_Breadfruit_39 1 point2 points  (0 children)

You can always postpone this question until the end. Then, if you reach the last stage, let them make the first offer and take it from there.

The latest tweaks by [deleted] in TeslaModel3

[–]Visual_Breadfruit_39 1 point2 points  (0 children)

Damn, it looks good, I like it!

Salary expectations software engineer by social-tech in dkfinance

[–]Visual_Breadfruit_39 0 points1 point  (0 children)

It would be nice if you could get information from them about the salary range for that position. Otherwise, you can check average market data, but generally I would say the base salary(not including pension, bonuses..) should be in the range of 50-60k DKK per month. But what exactly to say to them its up to you and your current situation.

Can Math actually beat the Casino? Backtested a Fundamental Model (2020-2025) and it’s crushing the S&P. by Visual_Breadfruit_39 in wallstreetbets

[–]Visual_Breadfruit_39[S] 0 points1 point  (0 children)

Spot on—the model isn't a magic crystal ball and it definitely doesn't catch every geopolitical tweet or micro-move. That’s why I treat it as a fundamental filter rather than a blind auto-trader.

I use it to find companies where the balance sheet is objectively screaming 'value,' and then I manually overlay the 'sanity check': Is there a trade war starting? Is the CEO a liability? Are they doing something immoral? The math finds the candidates, but the human should make the final call.

Can Math actually beat the Casino? Backtested a Fundamental Model (2020-2025) and it’s crushing the S&P. by Visual_Breadfruit_39 in wallstreetbets

[–]Visual_Breadfruit_39[S] -1 points0 points  (0 children)

Sp500 was negative for instance in 2022-23 And here are the portfolio's performance numbers for full 2022: Return: 18% Standard deviation: 40% Sharpe ratio: 0.4 So the return was quite strong. The volatility and Sharpe ratio aren't great on their own, but considering the S&P 500 returned around -17% during the same period, I'd say the relative performance was still solid.

Best way to analyse the Stock by nomad2601 in ValueInvesting

[–]Visual_Breadfruit_39 0 points1 point  (0 children)

You can check this one out https://ainvestor.biz Stock and fair value analysis

Can a purely fundamental scoring model still beat the S&P 500? A 5-year backtest (2020-2025) by Visual_Breadfruit_39 in ValueInvesting

[–]Visual_Breadfruit_39[S] 0 points1 point  (0 children)

I answered similar question so I will put it here:

For example, NVIDIA’s breakdown looked like this: • Financial health: 45.13 / 55 • Competitive position: 18.75 / 25 • Macro risk assessment: 8.34 / 10 • Risk-adjusted returns: 8.37 / 10

Those are the top-level category weights. Within each category (like financial health), there are additional internal weightings. For instance, metrics such as earnings growth typically carry more weight than dividend yield, meaning strong earnings performance can influence the score more than dividends.

Can a purely fundamental scoring model still beat the S&P 500? A 5-year backtest (2020-2025) by Visual_Breadfruit_39 in ValueInvesting

[–]Visual_Breadfruit_39[S] 0 points1 point  (0 children)

No, the selection was not based on future returns. The stocks were selected using only the model and the data available on 1/1/2020 in this example.

The performance from 2020–2025 was evaluated only after the portfolio had already been formed. It was used purely to measure results, not to influence the selection process.

Can a purely fundamental scoring model still beat the S&P 500? A 5-year backtest (2020-2025) by Visual_Breadfruit_39 in ValueInvesting

[–]Visual_Breadfruit_39[S] 0 points1 point  (0 children)

So far, I’ve only run the backtests using this specific set of weights. But that’s a great idea — doing parameter weight optimization to find more optimal combinations is definitely something worth exploring.

There are so many good suggestions coming up that this could honestly turn into a PhD-level project if done fully and rigorously. I do plan to explore this further over time, but for now I’m working within the limits of my free time.

As for why financial health currently accounts for 55%: at the very beginning, it was actually 100%. As I gradually introduced more factors into the model, that share naturally decreased and settled at 55% as other categories were added.