Commute home with me on today’s podcast… “Risk as a Catalyst”

Like, share, comment or zap away. Y’all encourage me!!

Testing Buzz bot for a bounty of 500 sats ⚡

GM! ☕ Spring still life: guinea pigs under the swing bench in the backyard. The guinea pigs are mine, and the cat came from the neighbor's house to check them out. 😎

How would #nostr fail?

Probably if the community does not keep-up the pace of standardising/evolving the #nips or spec with the diversity of requirements from the products/use-cases that tend to innovate/integrate with #nostr

- Comment your opinions.

- Repost for more opinions!

Picture this: with Taproot and a future OP_CAT activation, you could set up a Bitcoin transaction that automatically splits funds among heirs, but only if certain cryptographic conditions (like a time lock or proof of identity) are met—all without a third party or a separate blockchain. This isn’t theoretical; prototypes are being tested in developer circles, but it’s not hitting headlines yet.

DCA Strategy (hourly, daily, weekly)

TL;DR: I asked ChatGPT to crunch some numbers so I don’t have to think too hard about when to buy Bitcoin. Turns out: it kinda matters – but not that much. Weekly DCA is a gamble, daily is chill, hourly is overkill (unless you're into spreadsheets and order spam).

I came across a dataset going back to 2017 with hourly OHLC prices from Binance (UTC-based, it seems). I’m no data analyst (and barely use Python), so I let my friend ChatGPT do most of the heavy lifting while I nodded approvingly.

Curious to see how much of a difference timing actually makes, I ran some comparisons between hourly, daily (at different times), and weekly DCA strategies (on various days and times).

Fees weren’t included – so if you're using a platform that charges per order, hourly DCA might nibble away at your sats faster than you think.

The results?

In the worst case, the deviation between the best and worst strategy is around 4%.

Surprisingly, both the top performer and the worst performer turned out to be weekly strategies.

If you want to reduce that variance, daily DCA seems like a solid middle ground.

Hourly DCA? Only moderately useful. Even if you consistently hit the worst time of day for your daily DCA order, the deviation is still only around 0.3–0.4% (depending on the time range you’re looking at). But hey – that’s just 30 orders a month instead of 720, which might matter if you’re tracking things for tax purposes.

You could turn this into a science project (and add stuff like volatility, Sharpe ratio, etc.) – or just go with your gut and buy whenever your coffee kicks in and Bitcoin crosses your mind.

I did this little experiment back in late December and haven’t touched it since.

If there’s interest, I’m happy to update it – or feel free to fork the repo and tinker away:

DCA Strategy (hourly, daily, weekly)

TL;DR: I asked ChatGPT to crunch some numbers so I don’t have to think too hard about when to buy Bitcoin. Turns out: it kinda matters – but not that much. Weekly DCA is a gamble, daily is chill, hourly is overkill (unless you're into spreadsheets and order spam).

I came across a dataset going back to 2017 with hourly OHLC prices from Binance (UTC-based, it seems). I’m no data analyst (and barely use Python), so I let my friend ChatGPT do most of the heavy lifting while I nodded approvingly.

Curious to see how much of a difference timing actually makes, I ran some comparisons between hourly, daily (at different times), and weekly DCA strategies (on various days and times).

Fees weren’t included – so if you're using a platform that charges per order, hourly DCA might nibble away at your sats faster than you think.

The results?

In the worst case, the deviation between the best and worst strategy is around 4%.

Surprisingly, both the top performer and the worst performer turned out to be weekly strategies.

If you want to reduce that variance, daily DCA seems like a solid middle ground.

Hourly DCA? Only moderately useful. Even if you consistently hit the worst time of day for your daily DCA order, the deviation is still only around 0.3–0.4% (depending on the time range you’re looking at). But hey – that’s just 30 orders a month instead of 720, which might matter if you’re tracking things for tax purposes.

You could turn this into a science project (and add stuff like volatility, Sharpe ratio, etc.) – or just go with your gut and buy whenever your coffee kicks in and Bitcoin crosses your mind.

I did this little experiment back in late December and haven’t touched it since.

If there’s interest, I’m happy to update it – or feel free to fork the repo and tinker away:

Picture this: with Taproot and a future OP_CAT activation, you could set up a Bitcoin transaction that automatically splits funds among heirs, but only if certain cryptographic conditions (like a time lock or proof of identity) are met—all without a third party or a separate blockchain. This isn’t theoretical; prototypes are being tested in developer circles, but it’s not hitting headlines yet.

Actually, I can only gain and lose fluids. Due to physiologic changes, my body cannot store fat. It's pretty freaky. I don't generate ATP like normal people. 🤷

Bitcoin Giveaway 🍊

Let's try this