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Popular Conceptions About Price Trends
Is there more at work than self-fulfilling prophecy?
Historically, Bitcoin and other cryptocurrencies experience periods of rapid appreciation after challenging social, engineering, or regulatory hurdles have been cleared. This has been the case for the UASF soft fork of 2017, various technical integrations, and the launch of CBOE futures. Time-based milestones also bring investors into the market, perhaps as a result of the Lindy effect.

As a result, Bitcoin’s “halving” events, in which the emission rate of Bitcoin paid to miners is reduced automatically by the network in periodic intervals, produce price appreciation as well. Accumulation has held relatively constant for 9 years, but volatility is characteristic, and it is unknown how the market will react once the emission period has ended and all 21 million bitcoin are in circulation. In this appendix, we discuss the levers which are widely perceived to move spot prices.

Factors driving retail speculation
Privacy concerns have become mainstream since proof of government spying was revealed in the U.S. by Edward Snowden in 2013. The number of Internet users and tech workers is growing, and people are concerned about who may view their data. According to a recent study, 72 percent of Americans are concerned about email hacks; 67 percent about ***** of personal information; 61 percent about online reputation damage; and 57 percent fear being misunderstood online.

Hollywood may be helping feed the online paranoia. The struggle of technologists against bureaucratic management has turned into a cultural trope. Cypherpunk culture has benefited from the mainstreaming of its stories and concepts with films (and remakes) like “Tron,” which extends the ideas about cyberspace pioneered by dystopian cypherpunk novelist William Gibson.

In his 1984 story “Neuromancer,” Gibson reveals the concept of “the Matrix,” a place where human memory and perception is mechanized in a virtual reality system. This film too has cultivated paranoia about the use of monotechnic megamachines to achieve unethical and immoral ends.

Popular conceptions about price
Portfolio managers generally combine fundamental analysis and technical analysis when assessing equities. As we have discussed, “fundamental analysis” for cryptocurrency investors is a matter of evaluating developer draw and hardware draw. But because bitcoin trades like any other commodity, it is worth addressing the way market participants generally approach bitcoin price and trading.
The “Price Channel” Theory
Traders generally adhere to a few ideas about the trend in Bitcoin’s price, which may or may not be self-fulfilling:

That its shapes are repeating “fractals.”
That it exhibits Wyckoff Market Cycles.
That its deflationary emission rate causes regular price increases, particularly acutely in response to halving events.
That its value will generally increase over time.
In this section we explore are a variety of charts which depict commonly-circulated ideas about future trends. We do not endorse these predictions but present them as anecdotal evidence of views within communities of traders.

The Halving Theory
Many traders believe that price action is driven by Bitcoin’s automated and periodic “halving” of the coinbase reward paid to miners for finding blocks. The halvings are the reason that bitcoin is said to be a deflationary currency. Every few years, the network automatically adjusts, based on predetermined variables, to paying miners exactly half of the block reward they received previously.

Miners are notorious for holding back their rewards, perhaps in an effort to contribute to illiquidity and drive up prices. Presumably, they must liquidate some rewards periodically to reduce risk. The price threshold at which miners are willing to liquidate to reduce risk may increase dramatically after halvings, which may or may not produce the price effect demonstrated in the chart above. Many versions of this chart circulate.
The Hype Cycle Theory
Bitcoin’s promise as a self-organizing micro-economy is not well understood by the retail public, but its promises are routinely co-opted and oversold by charlatans looking to cash in on Bitcoin’s technical narrative.
Some traders believe that, as Bitcoin makes increasing progress in terms of its reliability, liquidity, and general efficacy, it creates new opportunities for charlatans to sell an increasingly obvious future to non-technical investors. Above, a chart showing the way price coincides with periods of media hype, highlighted in blue.

The Hashrate theory
Retail cryptocurrency investors tend to assume that miners join a network when it is profitable to mine, but there may be some evidence that the relationship between network hashrate and price may work in an opposite way. Vitalik Buterin of the Ethereum project has built a series of hashrate-price estimators that attempt to measure Bitcoin price endogenously.
This counter-intuitive relationship may be more rational than it appears; when a network is new, the network token is nearly valueless. Yet if the development team and the code shows potential, miners may contribute hashrate to the network on a speculative basis, before the coin is even listed to trade on exchanges. The growth of the Bitcoin hashrate despite downward price pressure seems to validate the hypothesis that miners mine in anticipation of future value, not in order to liquidate rewards right away.

The Fractal Theory
Other more superstitious traders seem to believe that Bitcoin price patterns recur in fractal patterns, along various intervals.
Summary
In this section we’ve sampled some of the theories behind Bitcoin price action. While miners control liquidity of newly-minted coins, large swaths are also held by speculative holders, many of whom profess undying commitment to long positions. While there is reason to be believe the Bitcoin network will grow in value over time, it’s impossible to say whether the recent mania experienced in 2017 was a unique event, or the continuation of a larger and longer trend.



Merkle trees. Bitcoin uses essentially the data structure in Haber and Stornetta's 1991 and 1997 papers, shown in simplified form in Figure 2 (Nakamoto was presumably unaware of Benaloh and de Mare's work). Of course, in bitcoin, transactions take the place of documents. In each block's Merkle tree, the leaf nodes are transactions, and each internal node essentially consists of two pointers. This data structure has two important properties. First, the hash of the latest block acts as a digest. A change to any of the transactions (leaf nodes) will necessitate changes propagating all the way to the root of the block, and the roots of all following blocks. Thus, if you know the latest hash, you can download the rest of the ledger from an untrusted source and verify that it has not changed. A similar argument establishes another important property of the data structure—that is, someone can efficiently prove to you that a particular transaction is included in the ledger. This user would have to send you only a small number of nodes in that transaction's block (this is the point of the Merkle tree), as well as a small amount of information for every following block. The ability to efficiently prove inclusion of transactions is highly desirable for performance and scalability.бесплатный bitcoin bitcoin nvidia виталик ethereum bitcoin strategy magic bitcoin In the 1980s, Dr David Chaum wrote extensively on topics such as anonymous digital cash and pseudonymous reputation systems, which he described in his paper 'Security without Identification: Transaction Systems to Make Big Brother Obsolete'.

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