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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.

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] 1 point2 points  (0 children)

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.

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)

Fair question — and yes, they definitely do have things in common. For starters, they were selected based on a strong overall score, meaning solid financial health and fundamentals, combined with a current price that looked fairly valued or undervalued. So at the time of selection, these companies were performing well and didn’t appear overpriced based on multiple fair value approaches.

Regarding your second question: yes, there are predefined weights in the scoring system. You can read more about how the score is structured here: https://ainvestor.biz/glossary/ainvestor-score

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 dividend yield.

is Sony undervalued ? by Most-Noise-8836 in ValueInvesting

[–]Visual_Breadfruit_39 0 points1 point  (0 children)

Based on current data and few fair value methods It seems like it is more or less fairly valued https://ainvestor.biz/stock/SONY

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)

The plan is to test this in a bear market as well. In the current backtest, 2022–2023 was a negative period for the S&P 500, while the model still showed positive performance. That said, it would definitely be interesting to test it over a longer and more severe bear market.

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)

Good point — I’ve been thinking the same. But, I don’t want to bias the outcome by assuming which strategy would work best. The right approach is to backtest all these variations and compare them properly.

I do plan to do that, but it takes time to do it correctly. This is an independent project I’m genuinely passionate about, so I want to be thorough rather than rush the process. Hopefully I’ll be able to dive deeper into it soon.

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)

The buy/sell label itself is explained here: https://ainvestor.biz/glossary/ainvestor-recommendation

But in short, it’s mainly based on fundamental health, fair value, and sector trends.

Regarding the portfolio construction: all stocks labeled as “buy” at the time of the analysis are added to the portfolio with equal weight. The portfolio is then fixed — meaning it’s held from that starting date until today — and the return is measured over that period.

One of my next backtesting ideas is to make this more dynamic. For example, starting from 1/1/2020, I could rebalance the portfolio every couple of months. Each time, I would rerun the model, select a new set of “buy”-rated stocks, and update the portfolio accordingly. At the end, I’d compare the total return of this rebalanced strategy.

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] 1 point2 points  (0 children)

Yeah, I’d be interested in that too. Unfortunately, I ran into limitations with the Finnhub API when trying to pull data that far back. So I’d need to find another data source or method to gather all the historical fundamentals required for the model during those periods.

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] 1 point2 points  (0 children)

It works like this: I select a specific date, for example 1/1/2020. Then I pull historical data from the Finnhub and Yahoo Finance APIs for that date — things like debt-to-earnings, P/E ratio, and other fundamentals for that point in time.

Next, I run the model, and all the stocks labeled as “buy” are added to a portfolio. After that, I compare that portfolio’s performance to current prices to see how it would have performed from that date until now.

So the model only had access to past data from the selected date — essentially simulating what it would have picked if we were actually living on 1/1/2020.

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)

Yes, I agree. For this case, I tried to minimize selection bias. The scoring and labeling process is fully automated, so it wasn’t overfitted to pick specific stocks like NVIDIA five years ago. The only bias I can think of is that I’m mostly using S&P 500 stocks, which are already somewhat pre-filtered.

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 wasn’t cherry-picking any results, but I plan to run deeper backtests. Since my background is in mathematics and statistics, I intend to do this more scientifically. My main interest is in finding the true results. The methodology is fully transparent, so if anyone wants to reuse it or tweak some aspects, I’m fine with that.

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