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justonecommit

@justonecommit

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Interested in Quant/CS/Math.
Not a professional.
Study with me!

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A 30% drop in a 2× leveraged ETF requires a 150% gain—not 60%—to return to its starting value.
But the real story is the daily reset.
When the market rises, the fund buys more exposure.
When it falls, the fund sells exposure.
The KODEX SK Hynix Single Stock Leverage ETF combines stock and futures to maintain approximately 2× daily exposure.

Leverage doesn’t simply double long-term returns.
It resets every day, making performance highly path-dependent.

In a volatile market, the stock may return to where it started—while your leveraged ETF may not.
Simplified examples for educational purposes only. Not investment advice.

#LeveragedETF #SKHynix #ETFInvesting #InvestingEducation #DailyReset by @justonecommit

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2 months ago

Samsung Electronics and SK hynix have led South Korea’s stock market rally.

This is a hypothetical 50/50 portfolio of the two stocks, rebalanced daily since January 2025. The arrival of single-stock leveraged products added fuel to the excitement—but the latest selloff revealed the other side of leverage.

The 3× portfolio recorded a maximum drawdown of 91.9%.

Leverage amplifies the upside—and the path you must survive.

Hypothetical price simulation. Dividends and costs excluded. Not actual ETF performance. by @justonecommit

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2 months ago

Looks like a simple coin flip… but it's hiding a classic quant interview trap.
This question isn't really about coins. It's testing whether you can:

Break a problem into states instead of tracking every outcome
Set up a recursion (first-step analysis) Could you set up the equations? by @justonecommit

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4 months ago

🤣🤣🤣🤣 #ethereum by @justonecommit

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5 months ago

Aside from the video above, these also helped me a lot as a non-English user 👇

1. I noticed that writing Claude docs/prompts in English or Chinese reduced the default context size by around 30% compared to Korean.
For long coding sessions, the difference became surprisingly noticeable in overall token usage.

2. Try adding something like this to your agent memory:
“Think in English, but respond in my language.”

Using your native language only when necessary can also significantly reduce token usage during long sessions.

#claudecode #codex #aicoding #llm #opensource #aitools #developertools #tokenoptimization #machinelearning #aiagents #codingtools #buildinpublic #anthropic #openai #algotrading #quant #rtk #opensource by @justonecommit

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5 months ago

I’m new to algo trading, and these are the backtest metrics I track.

First, Win Rate and Total Trades.
These show how often my strategy trades and whether it relies more on win rate or profit per trade.
Also, by breaking the model down into individual trades, you can analyze distributions like this.

Next are the ratios related to risk.
These help measure how strong the strategy is relative to risk and volatility.

Lastly, Drawdown and Capital Usage.
I use these to check how much loss I can tolerate and how efficiently the strategy uses capital.

When I move to live trading, I compare the results with the backtest.
If the behavior changes too much, I usually stop the model.

Follow for more, and let me know what you’d like to see next! I'll study it : ). by @justonecommit

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5 months ago

Test your mental math skills for interview!
Have Fun!

#quant #mentalmath #math #arithmetic #timekilling #hobby #brainpower💪 by @justonecommit

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5 months ago

VWAP gives more weight to trades with higher volume , helping traders identify the average price that best reflects actual market activity.

#quant #investments #tradingsignals #tradingview #vwap #portfólio #developers #finances by @justonecommit

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5 months ago