ETH when the ten-day moving average exceeds the 30-day moving average, and sell when it falls below the 30-day moving average.</p>\n<p>This is a very simple example, nonetheless, algo-trading can get way more complicated involving several regulations and conditions to develop a formula for gainful trading.</p>\n<p>Algorithmic trading also provides <strong>faster and easier order execution</strong>, making it appealing for exchanges. As a result, traders and investors may swiftly record profits on modest price movements. It can be fitting for several different trading strategies.</p>\n<p><a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-market-maker-market-taker/">Market makers</strong></a> utilize algo-trading to ensure that the market has an acceptable depth of liquidity. <strong>Short-term traders and scalpers</strong>, on the other hand, employ algo-trading to ensure they can trade at a high enough frequency to be beneficial while minimizing the risk of loss.</p>\n<p>Algo-trading is also useful for backtesting a particular procedure in order to check if it&rsquo;s able to return a consistent profit. However, there are some risks that can come with algorithmic trading, such as service interruptions or system outages.</p>\n<p>There isn&rsquo;t any guarantee that there will be no errors since the algorithm is developed by humans. 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New technological advancements in the market are not adopted by consumers all at once. The adoption process is separated into stages, where the adoption increases from a small testing group to the mass public.</p>\n<p>At their inception, computers were only available to governmental and military organizations. Personal computers later became accessible to some private consumers. The network progressively spread around the world, and consequently, the user base increased.</p>\n<p>As the technology became increasingly adopted, it started improving, and thus became even more accessible. The process of adoption is prominent in a wide array of markets and is not limited solely to technological or digital developments. Adoption stages may vary across the board.</p>\n<p>Throughout the history of crypto, <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-blockchain/">blockchain technology</strong></a> has posed the perfect example of a positive adoption curve. Prototypical technology of <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-cryptography/">cryptographic security</strong></a> modeled as a chain has been available since the 1990s.</p>\n<p>However, the <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-whitepaper/">whitepaper for a blockchain that the current model is based on was written and published by <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/who-is-satoshi-nakamoto/">Satoshi Nakamoto</strong></a> in 2008. The <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-genesis-block/">genesis block</strong></a> of this blockchain model was mined in 2009.</p>\n<p>Blockchain technology progressively became more widely known and available to users who started adopting it for a variety of utilities. By <strong>2022</strong>, about 90% of <a href=https://www.bitdegree.org/"https://www.bitdegree.org/crypto/buy-bitcoin-btc/">Bitcoin (BTC)</strong></a>, the cryptocurrency built on the initial blockchain, has been mined.</p>\n<p>Thousands of other blockchains have been developed and launched using this technology, demonstrating the increasing pace of the adoption curve. As of March 2022, the total number of blockchain-based cryptocurrencies exceeds 18,000. This demonstrates the tremendous pace of the blockchain adoption curve.</p>","level":"easy","meta_title":"What is Adoption Curve? 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The term sharding refers to splitting data into smaller pieces. These data chunks can then be stored on different machines and are horizontally scalable.</p>\n<p>There are <strong>three types</strong> of sharding: state, transactions, and network. The Elrond network <strong>combines all three types</strong> of blockchain sharding. The Elrond-specific sharding process is known as adaptive state sharding.</p>\n<p>Adaptive state sharding combines elements of all three sharding methods to create the optimal process for the Elrond network. The final result allows for parallel processing, which improves the inner communication of the shards, and can enhance the overall performance.</p>\n<p><a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-blockchain/">Blockchain technology</strong></a> encounters scalability issues for some applications, such as banking, supply chain management (SCM), and Big Data. With the help of adaptive state sharding, blockchains can improve the throughput and scalability performance.</p>\n<p>Although sharding is not a new process, previous iterations have not provided the scalability required for blockchain adoption. The development of blockchain technology and <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-smart-contract/">smart contracts</strong></strong></a> allows processing transactions, <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-block/">blocks, and other data into <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-shard/">shards so that they can be easily processed by <a href=https://www.bitdegree.org/"/crypto/learn/crypto-terms/what-is-node/">nodes even without sufficient resources.</p>\n<p>Adaptive sharding used by Elrond is a <strong>horizontal scaling database partitioning technique</strong>. It allows data to be automatically transferred across servers as the system load increases and decreases.</p>\n<p>When it comes to networks, sharding helps distribute nodes into segments. This occurs at the transaction level, while the whole blockchain is retained by the sum of the nodes. Sharding at the state level allows for the processing and verification of multiple transactions simultaneously.</p>\n<p>With dynamic adaptive state sharding, a fluctuating number of nodes can be adapted. This process occurs without compromising the network&rsquo;s decentralization and security.</p>\n<p>The adaptive state sharding model that Elrond uses provides a new approach to the process. It has demonstrated heightened security and throughput, and delays have been reduced compared to older sharding methods.</p>","level":"medium","meta_title":"What is Adaptive State Sharding? 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Handbook Cover Page
Crypto Terms: Letter A

What is Algo-Trading (Algorithmic Trading)?

Algo-Trading (Algorithmic Trading) MEANING:
Algo-Trading (Algorithmic Trading) - a way of carrying out orders that uses automated and pre-programmed trading instructions to take factors like price, timing, and volume into account.
Medium
2 minutes

Let's find out Algo-Trading (Algorithmic Trading) meaning, definition in crypto, what is Algo-Trading (Algorithmic Trading), and all other detailed facts.

Algo-trading is a method of executing orders that makes use of automated and pre-programmed trading instructions in order to accommodate for variables such as price, time, and volume. It is placed according to a computer algorithm.  And the algorithm will always perform exactly as it’s programmed to, without the fear of an unexpected issue.

After the market circumstances meet the algorithm's parameters, the algo-trading software will place a buy or sell order. It enables quicker and more frequent trading throughout a complete portfolio, which is not achievable with manual orders.

Furthermore, the speed of the orders ensures that algo-trading achieves the best price tags while eliminating the potential of misalignment. Simply said, it removes the human element from the equation, resulting in fewer emotional reactions to market circumstances or any mistakes.

For example, you can buy 10 ETH when the ten-day moving average exceeds the 30-day moving average, and sell when it falls below the 30-day moving average.

This is a very simple example, nonetheless, algo-trading can get way more complicated involving several regulations and conditions to develop a formula for gainful trading.

Algorithmic trading also provides faster and easier order execution, making it appealing for exchanges. As a result, traders and investors may swiftly record profits on modest price movements. It can be fitting for several different trading strategies.

Market makers utilize algo-trading to ensure that the market has an acceptable depth of liquidity. Short-term traders and scalpers, on the other hand, employ algo-trading to ensure they can trade at a high enough frequency to be beneficial while minimizing the risk of loss.

Algo-trading is also useful for backtesting a particular procedure in order to check if it’s able to return a consistent profit. However, there are some risks that can come with algorithmic trading, such as service interruptions or system outages.

There isn’t any guarantee that there will be no errors since the algorithm is developed by humans. That’s the reason double-checking is a crucial factor to make sure that the algorithm doesn’t do anything out of the ordinary.
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