#marketefficiency

[allbegins]

Unraveling Investment Wisdom: A Review of "The Most Important Thing" by Howard Marks

Unraveling Investment Wisdom: A Review of "The Most Important Thing" by Howard Marks

Howard Marks, renowned investor and co-founder of Oaktree Capital Management, imparts a wealth of investment wisdom in his book, “The Most Important Thing: Uncommon Sense for the Thoughtful Investor.” In this review, we’ll delve into the key takeaways from Marks’ insightful perspective on successful investing. Understanding Market Efficiency: Marks challenges the traditional notion of market…

[bitcoincables]

Understanding the Impact of Bitcoin Halving on Price Movement

Many analysts believe that the upcoming Bitcoin halving event in April could lead to a surge in the price of Bitcoin 🚀. However, some experts caution that the market may have already priced in the potential impact of the halving, given the increased efficiency and sophistication of crypto investors. With the recent approval of spot Bitcoin ETFs, the market has shown its ability to anticipate and adjust to major events in the crypto space.

Historical data from previous halving events suggests that the macroeconomic environment at the time may have played a significant role in Bitcoin's price rallies. The correlation between halving events and price surges may not necessarily imply causation. Additionally, past performance is not always indicative of future results, and investors should not assume that Bitcoin will reach new all-time highs in every halving cycle going forward.

While the Grayscale report highlights the potential positive impact of Bitcoin ETFs on mitigating selling pressure from miners post-halving, investors should temper their expectations and understand that price gains following a halving event typically take 12 to 18 months. Patience and thorough research are key when considering investments in Bitcoin or other cryptocurrencies. #Bitcoin #HalvingEvent #CryptoInvesting #MarketEfficiency Read More

[redtrades]

#marketefficiency #modeling &a #simulation w/ #gametheory #python #algorithm #netLogo #Matlab #rstats #DataVizDC #DataSciHub #datascience (at The Volgenau School of Engineering at George Mason University)

[phungthaihy]

Financial Time Series Analysis using Wavelets http://ehelpdesk.tk/wp-content/uploads/2020/02/logo-header.png [ad_1] 1. QX Data Science Event | 10.05... #financialanalysis #accounting #algorithmictrading #apple #applestock #cfa #chaos #chaostheory #datascience #daytrading #elonmusk #excel #finance #financefundamentals #financialanalysis #financialmanagement #financialmodeling #financialtrading #financialmarkets #forex #fourier #fourieranalysis #fouriertransformation #fractals #heisenberg #investing #investmentbanking #marketefficiency #maschinelearning #mathematics #matplotlib #ml #momentum #momentumstrategies #money #neuralnetworks #optionstrading #personalfinance #physics #programming #python #quantitativefinance #randomwalk #raydalio #research #returns #statistics #stochasticprocess #stocktrading #stockanalysis #stockexchange #stocks #technicalanalysis #timeseries #trends #volatility #warrenbuffet #waveletneuralnetworks #wavelets

[hellodelightfulbearbouquetme]

Plastic Pipes MarketEfficient irrigation systems can at least reduce crop loss. In addition to the use of suitable sensor technology,

[monarchwebworld-blog]

#entrepreneur #Success #Innovation #GrowthHacking #marketefficiency #businesspassion

[stag28]

"I'm fascinated with the problem of why really smart people have such a hard time predicting the future. It's mostly because the future is more random than we think. But it's also because future performance (like earnings and economic growth) doesn't tell you half of what you need to know to predict future outcomes. Outcomes are determined by performance within the context of expectations, with importance heavily weighted toward the latter. And if predicting future performance is hard, calibrating them against expectations is close to sorcery. Even if you accurately forecast future performance, predicting the outcome from that performance requires answering two questions: * Are current expectations reasonable? * What will future expectations be? The first is possible to answer, but pretty hard. We can look at sentiment and valuations to gauge, based on past trends, whether the current mood seems reasonable. But disagreeing with popular sentiment is easier said than done. Few things feel better than fitting in, and having a viewpoint that goes against everyone around you is a mental battle not one person in a ten can maintain for long. Rather than identifying extremes in current sentiment, it's easier to justify the market's mood no matter what it is. [..] The second – predicting future expectations – is even harder. To know where stock prices will be in five years, I have to know what mood people will be in five years from now. Which is as ambitious as it sounds. Ask yourself what kind of mood you yourself will be in in April 2021, and you'll shake your head in laughter. Ask what kind of mood seven billion strangers will be in in April 2021 – that mood, of course, will determine stock prices in five years -- and it's hard to keep a straight face. This is where the disconnect between performance and outcomes occurs: Accurately predicting five years of economic growth might not do much for the stock market if, five years from now, people are worried about the future five years from then."

[bitcoincables]

The Pitfalls of "Sure Thing" Bets in Investing

There are bets that seem like sure things, and then there are bets that everyone else believes to be sure things. The latter often leads to disappointment 😔. When an investment is widely perceived as a guaranteed win, it is likely that the market has already priced in that expectation. This is an example of market efficiency, whereby information and expectations quickly impact asset prices.

When everyone is on the same side of a trade, it can create an imbalance in the market. However, if the anticipated outcome fails to materialize, there can be a sudden shift in sentiment, causing prices to reverse rapidly. This can result in losses for those who were overly confident in the "sure thing" 📉.

Moreover, when a trade appears too good to be true, it attracts significant attention and competition. This increased interest reduces potential profits, making it harder to achieve substantial returns. Therefore, it is important to cautiously evaluate investments, conduct thorough research, and maintain a long-term perspective to avoid disappointment and mitigate risks associated with popular bets ⚖️.

Read the original article here.

#MarketEfficiency #InvestmentStrategies #RiskManagement #LongTermInvesting

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via Twitter https://twitter.com/RedTrades

[redtrades]

#marketefficiency #modeling &a #simulation w/ #gametheory #python #algorithm #netLogo #Matlab #rstats #DataVizDC #DataSciHub #datascience