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Coinbase stock opened 30% up on Thursday: explained here (www.blockcast.cc)

Coinbase Global Inc (NASDAQ: COIN) stock opened 30% up on Thursday after BlackRock announced a partnership with the crypto exchange that will offer its institutional investors access to Bitcoin. Brief overview of the announced partnership The asset manager was “studying” crypto and related technologies in recent months to better serve its customers that have been […]

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NFTs Explained: Everything You Need To Know (www.blockcast.cc)

NFTs Explained: Everything You Need To Know

NFTs are everywhere—and they’re not just hype. Learn what NFTs are, how they work, and why people are so excited about them. We get down to basics with a demo that brings the technology to life.

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Ethereum 2.0 Explained | CoinDesk Stakes 32 ETH on Beacon Chain (www.blockcast.cc)

Ethereum 2.0 Explained | CoinDesk Stakes 32 ETH on Beacon Chain

On Dec. 1, we officially logged in to the beginnings of Ethereum 2.0 with the networks Serenity upgrade, marking the beginnings of a transition to a proof-of-stake consensus mechanism. Just like the launch of Ethereum, this upgrade will be deployed in four phases.

CoinDesk tech reporter Will Foxley explains why the developers favored proof-of-stake, the phases of deployment and why CoinDesk is staking in Ethereum 2.0.

Watch our previous video in the series chronicling Ethereum’s journey to Serenity: https://www.youtube.com/watch?v=zgowjawT3Vg

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Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to? (www.blockcast.cc)

Based on KPI measurement, we can support repeatable best practices between projects, thereby further accelerating the iteration speed.

Written by: Jesse Walden, founder of Variant Fund, a crypto venture capital firm, and former partner of a16z

In the field of encryption, user ownership mechanism can promote network growth faster than any growth technique of the second-generation Internet Web 2

However, determining effective ownership distribution is the team’s biggest challenge (and opportunity).

Best practices are still vague.

Can we solve this problem? Let me explain.

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

Take a step back and clarify the definition first, and clarify that ownership distribution is a task in mechanism design:

“In the field of economics and game theory, ownership distribution is to design economic mechanisms or incentives in a goal-first manner to achieve expected goals…”

https://en.wikipedia.org/wiki/Mechanism_design

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

The mechanism design assumes that the behavior is reasonable, and the easiest to reason about when the determined target can be accurately verified.

Miner rewards in BTC and ETH are examples of mechanism design for verifiable work: PoW + transaction sequencing.

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

In DeFi and other encryption applications, the goal of the reward design mechanism is much more complicated, the stakeholders are more diverse, and the type of work is also more subjective, which makes verification difficult.

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

Every time an application runs an ownership allocation program (whether through ICO, liquidity mining or fund governance projects), there will be data that needs to be learned and iterated.

This learning happens faster and faster.

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

To help speed up this process, we need a data-driven approach to measure what works and what does not work.

There needs to be a KPI for this measurement.

Based on the measurement of these KPIs, we can support repeatable best practices between projects, thereby further accelerating the iteration speed.

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

I joined forces with Eddy Lazzarin, a data scientist at the a16z crypto fund, to compile a list of trade-offs.

The plan is to give back data-driven insights to help builders make better choices!

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

So when considering the effectiveness of ownership distribution, what are the trade-offs and metrics worth paying attention to?

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

Regarding user engagement:

-#Uniqueness
-Median capital balance / Gini coefficient
-Customer acquisition cost CAC and customer lifetime value LTV (contributed by Dmitriy Berenzon, research partner of Bo11inger Investment Group)
-Liquidity vs. Fund Withdrawal Mechanism / Locking
-Yield vs. Token Burning vs. Pure Governance?
-Flat governance vs. delegated governance

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

Regarding governance participation:

  • Continuous (MKR) vs. Isolated (UNI/COMP)
  • Mandatory (YFI) vs. Optional
  • High Arbitration (UNI) vs. Low Arbitration (AAVE)
  • Foundation vs. on-chain

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

There is no doubt that there is more. Hope to hear more ideas!
I also want to form a small Telegram group and start to provide help to people who are interested in this rigorous analysis, so that we can push our ideas faster with each other. Privately invite me!

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

I am confident that we can improve our learning in this area here. When this happens, we will see the ownership economy enter other exciting vertical fields from the L1 public chain and DeFi, making the encryption economy more colorful.

Jesse Walden explained the distribution of ownership in a series. What metrics are worth paying attention to?

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Will This Trigger the Next Major Cryptocurrency Bull Run? | Non-Fungible Tokens (NFTs) Explained (www.blockcast.cc)

Will This Trigger the Next Major Cryptocurrency Bull Run? | Non-Fungible Tokens (NFTs) Explained

What are non-fungible tokens (NFTs)? What are the best NFT cryptocurrencies to invest in? Elliot of @EllioTrades Crypto joins us to discuss cryptocurrency investing into 2021! This is not financial advice.

Full Episode Dropping THIS WEEKEND!
Watch the full conversation: Link will be posted here.

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Long and short positions, explained (www.blockcast.cc)

These two terms reflect whether a trader believes a cryptocurrency is going to rise or fall in value.

Cryptocurrency traders often use industry-specific jargon that is not fully understood by newcomers. While “longs” and “shorts” are not the most technical terms — in fact, they are at the core of trading — we’ll explain the two concepts, especially for newcomers, who are likely flooding the crypto market amid the devaluation of fiat currencies due to aggressive stimulus backed by governments and central bankers.

In a nutshell, long and short positions reflect the two possible directions of a price required to generate a profit. In a long position, the crypto trader hopes that the price will increase from a given point. In this case, we say that the trader “goes long,” or buys the cryptocurrency. Consequently, in a short position, the crypto trader expects the price to decline from a given point — i.e., the trader “goes short,” or sells the cryptocurrency.

While buying and selling is typical for spot exchanges, you can go long or short on a cryptocurrency without actually buying or selling it. This is possible on derivatives exchanges that offer futures, options, contracts for differences, and other derivatives products. When you trade these derivatives, you get exposure to cryptocurrencies via long and short positions but without “physically” owning or dealing with them.

That being said, you will see more long positions versus shorts in a bullish market, as more traders want to benefit from the price ascension. When the market is bearish, short positions generally exceed the long ones. However, this is only an observation and not a rule to follow. Professional traders and investors usually buy the dips and sell the rips — i.e., they open long positions when the price retreats from recent peaks and sell the cryptocurrency when the price tests resistance levels.

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Author: Refer to Source Cointelegraph By Anatol Hooper

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Xdai Chain and Stake Token Explained! (www.blockcast.cc)

Xdai Chain and Stake Token Explained!

DeFi, Ethereum 2.0, PolkaDot, Uniswap, xDai Chain, xDai Stake, 1 Billion Dollar makret Cap with Igor Barinov

0:00 Intro
0:56 Crypto market
1:50 DeFi Explaned
4:30 Move from POA to xDaiChain
8:18 xDai Chain vs Matic
12:04 Does xDai chain on ethereum compare to a parachain on polkadot?
13:41 Hurdles for crypto adoption?
15:13 Staking $STAKE differ from other altcoin staking?
16:44 Uniswap and AMM’s?
18:14 Favourite DeFi Projects?
20:39 What will drive Stake to a $1 Billion Market cap? When moon?

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Disclaimer:
The information discussed by Altcoin Buzz is not financial advice. This is for educational and informational purposes only. Any information or strategies are thoughts and opinions relevant to accepted levels of risk tolerance of the content creators/reviewers and their risk tolerance may be different than yours. Altcoin Buzz is not responsible for any losses that you may incur as a result of any investments directly or indirectly related to the information provided.
Please do your own due diligence and rating before making any investments and consult your financial advisor. The researched information presented we believe to be correct and accurate however there is no guarantee or warranty as to the accuracy, timeliness, completeness. Bitcoin and other cryptocurrencies are high-risk investments so please do your due diligence. Copyright Altcoin Buzz Pte Ltd. All rights reserved.

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Safe Haven Going Multi-Chain! SHA Utility Explained! with Co-Founder Logino (www.blockcast.cc)

Safe Haven Going Multi-Chain! SHA Utility Explained! with Co-Founder Logino

Co-Founder and CEO of Safe Haven Spills some Beans!

We discuss the need of a decentralized inheritance solution, defi, vechain, ethereum and polkadot and more with Logino Dujardin

0:00 Intro
1:17 How did you come up with the idea of #Cryptocurrency #Inheritance?
2:47 Main issues #SafeHaven faced in the last two years?
4:22 How does the Safe Haven Platform work?
7:36 Where does inheritance tax come into this?
8:36 Is this solution available worldwide?
9:17 What is the use of the token SHA? How to get to 1 billion market cap?
11:14 How do you plan to move to ethereum?
12:56 What are your future plans?
14:29 How has it been developing vechain?
15:22 What other #cryptocurrency projects are you watching? Do you have any top altcoins?

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Disclaimer:
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Please do your own due diligence and rating before making any investments and consult your financial advisor. The researched information presented we believe to be correct and accurate however there is no guarantee or warranty as to the accuracy, timeliness, completeness. Bitcoin and other cryptocurrencies are high-risk investments so please do your due diligence. Copyright Altcoin Buzz Pte Ltd. All rights reserved.

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DeFi yield farming, explained (www.blockcast.cc)

The precise mechanics of yield farming depend on the terms and features of the individual DeFi application. The practice started out by offering users a small share of transaction fees for contributing liquidity to a particular application, such as Uniswap or Balancer. However, the most common yield farming method is to use a DeFi application and earn the project token in return. 

This practice became popular early in the summer of 2020 when Compound announced it would start issuing its COMP governance token to lenders and borrowers who use the Compound application. It was an instant hit, pushing Compound to the top of the DeFi rankings. 

Since then, several projects have followed suit by creating DeFi applications with associated governance or native tokens and rewarding users with their tokens. These copycat tokens have replicated COMP’s success like, for example, Balancer’s BAL token, which gained 230% immediately after launching. The continued success of each new project fuels more innovation, as projects compete fiercely for users.

The most successful yield farmers maximize their returns by deploying more complicated investment strategies. These strategies usually involve staking tokens in a chain of protocols to generate maximum yield.

Yield farmers typically stake stablecoins, such as Dai, Tether (USDT) or USD Coin (USDC), as they offer an easy way to track profits and losses. However, it’s also possible to farm yield using cryptocurrencies such as Ether (ETH).

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Author: Refer to Source Cointelegraph By Nikolai Kuznetsov

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DeFi oracles, explained (www.blockcast.cc)

The oracle problem and latency are the major risks of running oracles on a blockchain.

The oracle problem arises due to a trust conflict that centralized third-party systems bring to smart contracts and blockchain systems that are decentralized. Because the data provided by oracles is directly fed into smart contracts, which function based on this data, it’s evident that oracles hold hierarchical power in the execution of the smart contracts. Due to these immense implications, it’s critical for DeFi apps and protocols to have oracles with reliable data and little or no latency. 

Broadly, oracle solutions can be classified into two categories: fast but insecure, and secure but slow. The first category mainly applies to decentralized oracles, as they have low latency rates. Due to a vulnerability to various game theory attacks, a majority of DeFi applications run on centralized or semi-centralized oracles.

Most decentralized oracles use the ShellingCoin mechanism, wherein independent sources report the data without coordinating with other sources. Due to the absence of this contact, these sources/agents report “true” data to the best of their capabilities while expecting other sources to do the same. This mechanism is vulnerable to various problems such as collusion between parties, signaling and even bribing. And in the event of a hacker attacking the data feed, known as a man-in-the-middle attack, there is no retaliation mechanism in place. Even a single incorrect value can have significant consequences for the applications relying on the oracle.

Centralized oracles fall under the “secure but slow” category. When pitted against decentralized oracles, these oracles are robust with elements of game theory. They utilize manual voting and “dispute rounds” to overcome attacks that attempt to manipulate their data. But because these methods entail longer wait periods, sometimes lasting weeks, DeFi applications are often discouraged from using them as their oracle of choice. However, despite their protection against game theory attacks, they possess counterparty risk and leave a higher chance of effective hacks due to a single point of failure, decreasing the security of DeFi applications in this particular regard.

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Author: Refer to Source Cointelegraph By Anirudh Tiwari