Coinscious Demonstrates How Accurate Crypto Market Data Ultimately Leads to Winning Model

Coinscious, a data and trading analytics provider for the cryptocurrency market, today announces the publication of its article illustrating the high importance of accurate data when creating quantitative and high-frequency trading models with far greater than average performance.

To view the article in its entirety, visit: https://coinscious.io/coinscious-lab/accurate-crypto-market-data/

OHLC Error Rates

A key aspect that is often overlooked in quantitative crypto-trading is the quality of the data being used to design sophisticated prediction models. In the new era of cryptocurrency trading, those with the most data of the highest quality will surely win as the underlying data ultimately determines the execution prices, the model’s behavior, and the model’s ability to fit the market efficiently and effectively.

Many algorithmic traders incorporate massive amounts of data into their algorithms to create better pricing models and leverage large volumes of historical data to backtest their trading algorithms. Particularly with recent advances in machine learning, the data-driven approach to modeling is being emphasized more than ever before.

In the article, the error rates of Binance, Bittrex, Bitfinex, Bitstamp, Bitmex, Huobi Global, Okex, and Coinbase Pro were measured and then placed in bar chart format to illustrate the accuracy of Coinscious data compared to Kaiko and CoinAPI. The data quality was assessed by comparing each well-known exchange’s OHLCV (open, high, low, close, volume) data with derived OHLCV data.

Whether viewing error rates in trading volume or price movements, Coinscious data proved to be the most accurate among the other data vendors for the top 3 coins (BTC, ETH, and XRP). In average, Coinscious data are 38% better than Kaiko’s data, where the relative errors on OHLC are 39%, 41%, 31%, and 37% respectively. Similar results have also been shown using four alternative coins (ADA, XLM, TRX, ZRX).

When answering the question of why accuracy discrepancies exist across different data providers, a couple of possible reasons are given. For example, it could be due to downtimes of exchange APIs or rate limits getting in the way when there is high activity among the thousands of combinations of cryptocurrency exchanges and trade pairs.

While many companies are collecting vast amounts of data across different exchanges and coins, the quality of the data may be hidden underneath the quantity of the data. Especially in this era of a data-driven finance world, success and risk can be heavily dependent on the data quality and the data operations environment. Obtaining the right trading tools and hiring talented traders can certainly help, but even then, tools and people cannot guarantee success if the data is imperfect. The cryptocurrency finance market could benefit from having more of data quality analysis in order to understand the granular level of datasets and where they can be obtained.

About Coinscious 

Coinscious provides comprehensive data, insights and solutions to professional and non-technical cryptocurrency traders alike. We focus on delivering quick and accurate data to our users, connecting trading systems and strategies to the dynamic crypto market through our enriched data sources and data-driven insights. We specialize in providing traders with tools to allow them to backtest, validate, optimize and execute their own strategies.

To learn more about Coinscious, visit: http://www.coinscious.io


Source
Author: Coinscious Inc
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Microsoft Introduces Ethereum Proof-of-Authority Algorithm on Azure

Microsoft’s cloud platform Azure has introduced a proof-of-authority (PoA) algorithm on its Ethereum (ETH) blockchain product, according to a blog post Aug. 7.

LIONBIT

The new Ethereum network algorithm will reportedly allow a “more efficient” way of building decentralized applications (DApps) for private or consortium networks, where “all consensus participants are known and reputable.”

In contrast to proof-of-work (PoW) — the existing protocol on Azure — a PoA algorithm is based on the principle of approved identities or validators on a blockchain, and does not require competition in completing the transactions.

The new Ethereum product on Azure is equipped with a number of features to ensure its correct functioning and security, such as an identity leasing system, Parity’s web-assembly support, Azure Monitor, and a Governance DApp.

The identity leasing system intends to ensure that while each member possesses  “redundant consensus nodes,” no two nodes can carry the same identity. The system provides identity protection even in the case of virtual machine (VM) or outage, so the new nodes “can quickly spin up and resume the previous nodes’ identities.”

Parity’s web-assembly support aims to simplify the process of building smart contracts, enabling customers to write them in languages that are more familiar than the existing Solidity programming language on the ETH blockchain. The blog post notes that developers will now be able to write DApps in such languages as C, C++, and Rust.

TIP

The Governance DApp solution intends to simplify voting and validator delegation in the process of participation in a consortium. By enabling this feature, the developers provide customers with a level of abstraction, which allows programmers to hide all but the relevant data about an object in order to lessen complexity and boost efficiency.

The Governance DApp will also ensure that each consortium member has control over his or her own keys, which allows for fully protected signing on a user’s chosen wallet, the blog post writes.

Microsoft first announced the launch of the Ethereum-based Azure cloud computing platform in late 2015. Founded in 2010, Azure provides a global network of Microsoft-managed data centers for developing, testing, deploying, and managing applications and services.

Earlier in June, the R3 blockchain consortium announced that the firm — together with 39 global financial companies — had successfully tested its know your customer (KYC) application, running a total of 45 nodes on Microsoft Azure.


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Author: Helen Partz
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