F BOT 🤖🤣🤣🤣
🚨⚡️50k SATS REWARD
Seeking bold visuals for a Cameroon keynote 👇🏽
I’m building a keynote for the French Bitcoin Conference in Cameroon covering why #Bitcoin matters for governments, enterprises, HNIs, and individuals, students included.
I’m short on time, travelling on the move, and want to try something different👇🏽
Looking for 10–15 powerful visuals: think minimal, AI-generated or otherwise (yet not already existing online) relevant to #Cameroon and #Africa, no fluff, no childish aesthetics.
If that sparks something in you, drop your graphics (10-15) directly under this post. No DMs.
Selection is 100% subjective; it’s just about what works for me, no hard feelings either way. Deadline for submission by 18:00 (Cameroon time), today April 24.
One thing: even if I don’t end up using any of the submissions, I’ll still tip 50,000 sats to the best one. #Nostr Contributions won’t be credited on the slides, but this post will stay up as the reference point.
🚨Ps: anyone reposting this post would get a guaranteed 21sats⚡️
https://www.afriquebitcoin.org
#asknostr #jobstr
🫂
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:
https://github.com/3eppo/btc_dca_strategy
#Bitcoin #BTC #DCA #Nostr #BitcoinResearch #Plebchain #Timechain #GrowNostr #Zap #TickTockNextBlock #BitcoinAndChill
nostr:nprofile1qyjhwumn8ghj7cn40faxymm594ex2mrp0yhxyatvd35hx6rzda6kuare9e3k7mgprfmhxue69uhkummnw3ezuum4v3hkxctjd3hhxtnrdaksqgxfax7upvpuyx7nx7sjmn6mgc75nld0azz25y4mj5xpst57fklfhqy6fmt5 1000
GM☕🫂☀️
CD156: EVAN KALOUDIS - ZEUS AND CASHU
- nostr:nprofile1qqszmxrnkfdl9hdxzstgf4zdt6mk4avlzemc3fvwxcatzeclalhg0uspr9mhxue69uhhxetwv35hgtnwdaekvmrpwfjjucm0d5q32amnwvaz7tm9v3jkutnwdaehgu3wd3skueq0gen8q
https://cdn.satellite.earth/83c60d05b58c2eaa59da3c5d4e6eba9725e27a18c6d511c91f3f667b2935dfc1.mp4
🔥🫡
