What metrics matter for crypto mining

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If this piqued your interest, then I recommend go read more about cores and ALUs. This stuff really starts getting down to the nitty gritty of how a processing unit works. The above references an opinion and is for information purposes only. It is not intended to be investment advice.

Seek a duly licensed professional for investment advice. If you enjoyed this article, then make sure you check out other articles like the ones below! The Importance of Cores Cores are essential to computation, so it should be quite obvious why they are important when it comes to repeatedly trying to solve a cryptographic equation.

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The color assigned to the price chart depends on the month-by-month percent increase of the week moving average, starting with low intensity blue troughs, and moving up towards a cycle top in red at the peak of each macro Bitcoin cycle.

For example, orange and red dots assigned to the price chart have historically been a good time to sell BTC, as those colors indicate that BTC is overbought in comparison to its price over the past weeks.

Conversely, when the price dots are purple and close to the week MA, it has typically been a good time to buy BTC. In over a decade of analysis, the Bitcoin Heat Map has yet to be invalidated, cementing its status as a go-to technical macro trend indicator.

The Rainbow Chart perspective allows investors to identify trends that indicate the best times to buy or sell BTC based on patterns established in prior cycles. With that being said, even when analyzing this historical data, the eight bands do not serve as precise indicators of when to buy and sell, and it is entirely possible that the Rainbow Chart and other crypto indicators in the rapidly-evolving ecosystem could one day be invalidated.

Like other indicators, the Rainbow Chart is not intended to serve as investment advice; past performance does not indicate future results. Although block rewards are constant between halving events, the USD value of block rewards changes as the market price of BTC fluctuates. As such, traders find it helpful to consider the daily value of block rewards.

More specifically, this coin metric estimates the amount of sell pressure originating from miners as they sell BTC rewards to cover fixed costs like mining hardware and electricity. Using the Puell Multiple, traders can utilize a single metric to determine how healthy miner revenue is on any given day. In other words, high Puell Multiple might suggest minimal sell pressure, while a low Puell Multiple might indicate considerable sell pressure.

Because miners especially major institutional miners often have access to a high volume of BTC, understanding their pressure to sell can reveal short-term price trends before the movement has become evident in the markets. Although helpful, the original Puell multiple did not include transaction fees that miners can receive, excluding them from overall mining revenue estimates. As a result, the Puell multiple now includes total miner revenue, inclusive of both fees and block rewards.

The Stock-to-Flow S2F model has been used across several asset classes for decades, and is built upon the assumption that scarcity drives value. The S2F model determines the ratio between a commodity's current stock and the flow of its new production.

While these variables are more apparent for traditional assets, traders can amend the model inputs to accommodate digital assets. Because the price of BTC usually tracks the S2F ratio, it has become the most popular input for this model.

The resulting S2F ratio reflects how many years it would take to double the amount of BTC at current production levels. For example, in April of , the SF2 ratio was:. Stock BTC circulating supply : Flow newly minted BTC per year : , Thus far, the S2F crypto model has proven quite accurate, and presents a powerful argument about the role of scarcity on value.

Major deviations from its charted course have occurred, however, and it remains unclear if the model will hold, as it predicts the price of Bitcoin rise to controversially high levels, forecasting sustained exponential growth as block reward issuance continues to be halved every four years and scarcity increases.

Broad-based crypto metrics perform more like economic indicators than technical indicators, offering a broader assessment of the crypto ecosystem. Compared to BTC-based metrics, these indicators may be most effective when the correlation between BTC and altcoin market behavior is less prevalent.

The index utilizes weighted data sources to generate a number between 0 extreme fear and extreme greed that indicates the general sentiment of the cryptocurrency market. The equation for this metric is made up of the following components:.

The index updates every day at midnight Greenwich Mean Time GMT , providing a glimpse of market emotion and sentiment. The Bitcoin Fear and Green Index пїЅ as well as those for other crypto assets пїЅ operate under the premise that crypto investors as a collective tend to be temperamental and emotional.

In general, the model assumes that these emotions often trigger two reactions:. When markets are rising, the index assumes that many people will have a fear of missing out FOMO , which can encourage irrational buying behavior driven by greed. When markets are falling, the index assumes that many people will act irrationally and sell their cryptocurrency out of fear. The index aims to protect investors from these overcorrections by providing coin and token metrics that help illustrate emotion-driven market trends.

For instance, extreme fear might signal that investors are worried, highlighting a potential buying opportunity. On the other end of the spectrum, extreme greed might suggest that a market correction has appeared on the horizon. While the Fear and Greed Index is less scientific and more qualitative than many of the other popular trading indicators, it does provide a useful snapshot of the ever-changing tides of market sentiment in crypto markets.

Although economic and technical indicators do not equate to investment advice, traders can still use them to make more informed investment decisions. Despite the historical accuracy of conventional indicators, crypto markets are less mature and more unpredictable, which can make existing models less effective.

While some models, like Stock to Flow, may translate between the different ecosystems, several specific on-chain crypto metrics have emerged in recent years.