Small shots. Bitcoin only. No noise, Data driven. Do not copy my trades. Do your own research. NOT FINANCIAL/TRADING ADVISE.

Filter
Exclude
Time range
-
Minimum likes
Bitcoin’s 21 million limit isn’t actually written in the Bitcoin whitepaper. Read the whitepaper. It explains proof-of-work, transactions, nodes, mining, incentives, and how the network reaches consensus. But you won’t find a line saying: "There will only ever be 21 million bitcoin" The number comes from something much more mechanical. Satoshi started the block subsidy at 50 BTC. Then wrote the rule that cuts it in half every 210,000 blocks. 50 25 12.5 6.25 3.125 1.5625... Keep doing that and the geometric series converges to roughly 21 million BTC. Nobody has to decide how many coins to print next year. The schedule is already sitting in the code. And there is something even stranger about that. The original code didn't contain a line saying: “Bitcoin supply = 21,000,000.” It contained a starting reward and a halving rule. The 21 million emerges from the arithmetic. That means Bitcoin's supply cap isn't just a number someone wrote on a piece of paper. It's the consequence of the rules that are enforced by thousands of independent nodes.
171
HELLO from wonderful 🇲🇹Malta. I am so happy to be living in this place, the original Blockchain Island. If you are a Bitcoiner just say hello back and if you would like share where you are 😀
1
287
FULL TRADINGVIEW INDICATOR CODE BELOW The REAL origin of the Bitcoin Power Law model, back in 2013: A user called dacoinminster on Bitcointalkforum, back in 2013, wrote about the Bitcoin Power Law, he used data up to 2013 and his powerlaw, which I will be calling, Dacoinminster Powerlaw from now on, is spot on up to this day. It has sustained 13 years of price fluctuations and is still Holding perfectly and as Relevant as ever. So I decided to create a Tradingview indicator for all , I will be sharing this here for FREE with you so you can ensure the maths is correct and there is full TRANSPARENCY in the code. Instructions to run and save the code in Tradingview: 1. Open TradingView → click Pine Editor (bottom) 2. Delete all default code 3. Copy and Paste the script precisely 4. Click Save → Name it → click Add to Chart The full transparent code : //@version=5 indicator("Dacoinminster 2013 Powerlaw - dacoinminster 2013", overlay=true) a = (time - timestamp("UTC", 2009, 1, 3, 0, 0)) / (1000 * 60 * 60 * 24) b = a > 1 ? 4.41877086088824e-17 * math.pow(a, 5.59806919936792) : na plot(b, linewidth=2) The code works on Bitcoin chart only, of course, on any timeframe, but I suggest you use the Weekly/Monthly to zoom out and use the Log scale to better appreciate the precision of this formula. Let me know what you think about this indicator and feel free to ask anything. More information about this Dacoinminster powerlaw can be found in my pinned post.
2
1
6
382
UPDATE: TRADINGVIEW INDICATOR CREATED. FREE FOR ALL TO USE 👇
FULL TRADINGVIEW INDICATOR CODE BELOW The REAL origin of the Bitcoin Power Law model, back in 2013: A user called dacoinminster on Bitcointalkforum, back in 2013, wrote about the Bitcoin Power Law, he used data up to 2013 and his powerlaw, which I will be calling, Dacoinminster Powerlaw from now on, is spot on up to this day. It has sustained 13 years of price fluctuations and is still Holding perfectly and as Relevant as ever. So I decided to create a Tradingview indicator for all , I will be sharing this here for FREE with you so you can ensure the maths is correct and there is full TRANSPARENCY in the code. Instructions to run and save the code in Tradingview: 1. Open TradingView → click Pine Editor (bottom) 2. Delete all default code 3. Copy and Paste the script precisely 4. Click Save → Name it → click Add to Chart The full transparent code : // @version =5 indicator("Dacoinminster 2013 Powerlaw - dacoinminster 2013", overlay=true) a = (time - timestamp("UTC", 2009, 1, 3, 0, 0)) / (1000 * 60 * 60 * 24) b = a > 1 ? 4.41877086088824e-17 * math.pow(a, 5.59806919936792) : na plot(b, linewidth=2) The code works on Bitcoin chart only, of course, on any timeframe, but I suggest you use the Weekly/Monthly to zoom out and use the Log scale to better appreciate the precision of this formula. Let me know what you think about this indicator and feel free to ask anything. More information about this Dacoinminster powerlaw can be found in my pinned post.
265
FULL TRADINGVIEW INDICATOR CODE BELOW The REAL origin of the Bitcoin Power Law model, back in 2013: A user called dacoinminster on Bitcointalkforum, back in 2013, wrote about the Bitcoin Power Law, he used data up to 2013 and his powerlaw, which I will be calling, Dacoinminster Powerlaw from now on, is spot on up to this day. It has sustained 13 years of price fluctuations and is still Holding perfectly and as Relevant as ever. So I decided to create a Tradingview indicator for all , I will be sharing this here for FREE with you so you can ensure the maths is correct and there is full TRANSPARENCY in the code. Instructions to run and save the code in Tradingview: 1. Open TradingView → click Pine Editor (bottom) 2. Delete all default code 3. Copy and Paste the script precisely 4. Click Save → Name it → click Add to Chart The full transparent code : // @version =5 indicator("Dacoinminster 2013 Powerlaw - dacoinminster 2013", overlay=true) a = (time - timestamp("UTC", 2009, 1, 3, 0, 0)) / (1000 * 60 * 60 * 24) b = a > 1 ? 4.41877086088824e-17 * math.pow(a, 5.59806919936792) : na plot(b, linewidth=2) The code works on Bitcoin chart only, of course, on any timeframe, but I suggest you use the Weekly/Monthly to zoom out and use the Log scale to better appreciate the precision of this formula. Let me know what you think about this indicator and feel free to ask anything. More information about this Dacoinminster powerlaw can be found in my pinned post.
435
Replying to @chloesnugz
True. Unlike many so-called models like PlanB's stock to flow which was refitted so many times I lost count and every time it was proved wrong, this model is still proving to be correct.
147
Clarification about the Dacoinminster powerlaw and my Origin story, cause many asked 👇 After I posted the Dacoinminster powerlaw chart which extrapolates for the next 10 years (in attached post), I received many questions. So I will take this opportunity to clarify some things which may have not been clear in my original post. If after reading this post you have more questions feel free to ask and I will reply to all. The model was created in 2013 by a user called Dacoinminster and uses Bitcoin price data only up to 2013. All I did was just create an indicator using his formula and then extrapolated the formula between 2013 and today and I noticed that it has held perfectly compared to the Bitcoin price. So I extended it further in the future. The formula: Price = 4.42 × 10⁻¹⁷ × (days since Jan 3, 2009)^5.6 The link to the original post in and the screenshot of that post is included: https:// bitcointalk.org/index.php?to… A regression doesn’t prove any inherint mechanism, and I’m not claiming it does. The interesting question is why a simple curve fitted in 2013 has continued to track Bitcoin through completely different cycles, liquidity regimes, halvings and market conditions without being refitted. My Origin Story 👇 Many years ago I was a coder and worked for a large faceless hedge fund (but I was NOT a trader there). At the time we were called Programmers (not coders like today but it's the same thing) and I worked mostly with languages like Fortran and Cobol (if you were born after 2000 you probably never heard of them!) but now I am semi-retired. However I still produce some indicators from time to time to help me trade better AND I provide the source code to anyone who asks and even sometimes I code an indicator as described by one of my followers. All code I publish is fully transparent. Unlike many influencers I do not sell courses. I believe anyone who sells courses is admitting that he is a failed trader and thus is making money by "teaching" others how to trade. Same goes for all other get rich quick ebooks. I make enough just trading 3% of my wealth whenever I see a quick opportunity. Whilst the rest 97% is spot bitcoin and I will never touch it, I have conviction. In 2015 I came to Malta for what has to be just 2 years until a startup I funded with a friend got traction. Anyways, it was ultra successful and we sold it after 1 year, but I fell in love with Malta and especially after the Government had started promoting it as the Blockchain island, I decided to remain and semi-retire here. I love this place and I will upload a few photos/video later on of this wonderful place for you to enjoy too.
A guy on Bitcointalk drew this in Excel in 2013 when bitcoin was $25. He never touched it again. It’s still 100% right ,let's see what it predicts... On the 13th Feb 2013 a user called dacoinminster dumps whatever price history he can find into a spreadsheet, lets Excel fit a power trendline, and writes it down: Price = 4.42 × 10⁻¹⁷ × (days since Jan 3, 2009)^5.6 He wasn’t building a theory of money. He was arguing 2011 had been the bubble and 2013 wasn’t. The line said about $27 that week. Price was $25. Nobody refit it. No “updated for this cycle.” Same two numbers for 13 and a half years. Let's take a look at how this formula predicts Bitcoin's price in the near future. Detailed explanation in first comment below and see chart as well pls. 👇👇👇
528
Replying to @NieuwpoortHugo
ETFs inflow (see my other posts and updates as well), institutional and governments buying will increase
38
Replying to @GasperTheSith
This week saw 5 straight trading sessions confirming record inflows with no interruption. The last time such a thing happened and ETF flows ran this consistently positive was the August surge that took Bitcoin from $64,000 to $81,000 a few days later
23
Bitcoin closed Friday at $84,093, holding the range it has traded in all week. The pullback from the $86,400 peak on September 21 is shallow and orderly against the scale of institutional buying that drove it there. The week ahead is the first read on whether this streak extends or takes a pause. Based on the pattern in this dataset, a brief consolidation after a record week is to be expected.
1
167
ETF Inflows data confirm the Bitcoin bottom is behind us $2.39 billion in Bitcoin ETF inflows across five consecutive days. That is the strongest week of 2026. Sep 21: $999M. Sep 22: $715M. Sep 23: $347M. Sep 24: $191M. Sep 25: $135M. The pace is stepping down from Monday's record, which is normal. What matters is that five straight sessions closed green with no interruption. The last time ETF flows ran this consistently positive was the August surge that took Bitcoin from $64,000 to $81,000. Detailed explanation in first comment below and see chart as well pls. 👇👇👇
2
5
374
Replying to @ic3ni2k
A regression doesn’t prove a mechanism, and I’m not claiming it does. The interesting question is why a simple curve fitted in 2013 has continued to track Bitcoin through completely different cycles, liquidity regimes, halvings and market conditions without being refitted. It’s a model. The test is whether it keeps working.
16
4,454
Replying to @JMAMCMSM
Yes I created the chart this morning 🤣 But the formula was created by the Dacoinminster back in 2013! The formula: Price = 4.42 × 10⁻¹⁷ × (days since Jan 3, 2009)^5.6 The link to the original post in case you doubt the screenshot: bitcointalk.org/index.php?to… Here is the original post screenshot
1
2
1,207
Replying to @MarkYusko
True 🙏💪
179
Replying to @SheriSnowPowers
The model uses data only up to 2013, then the formula is extrapolated between 2013 and today and it has held perfectly.
1
117
Replying to @araseb_
Hooli will deliver Nucleus, the most sophisticated compression software platform the world has ever seen thus making the world a better place through minimal message-oriented transport layers

ALT Pied Piper Hbo GIF by Silicon Valley

206
Replying to @SheriSnowPowers
The model doesn’t assume anything about future money printing. That’s actually the interesting part. It’s simply a trend fitted to Bitcoin’s historical price data, and so far it has held up remarkably well despite huge changes in liquidity, QE, rates and monetary policy since 2013.
1
8
2,982
Replying to @SpuddyCrisps
Which prices are you refering to?
716
Replying to @LibertyCoiner21

ALT Happy So Excited GIF

621
Replying to @SaurusBitcoin
💪
2
2,037