Sentences with phrase «algorithmic pricing»

Bancor's smart contracts utilize a «connector» token method which will allow BCDC tokens to automatically convert to BNT, ETH and any integrated token in the liquidity network, according to an open - source algorithmic pricing mechanism.

If algorithmic pricing sounds too sophisticated for independent sellers, it's not: For a fee, any one of Amazon's more than 2 million third - party sellers can easily subscribe to an automated pricing service through companies such as Sellery, Feedvisor, and RepriceIt, becoming so - called algo sellers.

Algorithmic pricing readjusts product prices in real - time using computer algorithms, reacting to variables such as competitors» changing prices and sellers» inventory levels.

«Amazon might not always be pitching you the best prices, researchers find: Buyers more likely to be pointed to sellers who use an automated practice called algorithmic pricing.»

The researchers arrived at their findings by analyzing the algorithmic pricing strategies of the 500 - plus third - party sellers on Amazon who offered any of the 1,640 best - selling products over a period of four months.

For example, we found that 60 percent of sellers using algorithmic pricing have prices that are higher than the lowest price for a given product.

Not exact matches

Steve Hammer, a trading educator and founder of HFT Alert in Santa Barbara, California, which monitors algorithmic trading, said about 300 different stocks showed elevated price traffic beginning about 9:50 a.m. EST, a sign of institutions putting on sell programs.

Mr Ward, dubbed «Chocfinger» due to his influence over the cocoa price, blamed the rising power of algorithmic and systems - based trading for making position - taking based on «fundamental» supply and demand factors more difficult.

In their April 2017 paper entitled «The Alpha Engine: Designing an Automated Trading Algorithm», Anton Golub, James Glattfelder and Richard Olsen introduce an adaptive counter-trend algorithmic trading system that seeks liquidity premiums from price series via automated trades at adaptive market events.

Essentially, Algorithmic orders provide clients with the opportunity to trade through various strategies with larger ticket sizes that may otherwise impact the market price.

Or due to the price tags of the few tools that support them and of the historical data that you need for algorithmic trading.

«We know the principles of algorithmic trading, such as they operate based on timing, price and volume and they rely on the speed of the network infrastructure.

But as algorithmic changes have adjusted the playing field in online settings — remember that self - publishers were the leaders in the dynamic pricing that Shatzkin mentions in regards to traditional houses — it's become harder to predict the response to various pricing approaches online, free or otherwise.

But it's also time for that reader to play his or her fiduciary role in the equation again, and prove the bargain basement prices of the fin - de-agency period to have been what they were, the dive for algorithmic leverage of amateurs flooding the market.

With algorithmic trading and other quant strategies, it's much harder to find mis - pricing vs. the past.

Investors still overreact on the upside and the downside, and if anything, algorithmic trading often accentuates those moves and creates pricing opportunities for people like us to exploit.

Algorithmic trading and quantitative money management is making stock price changes more correlated with one another than they used to be.

This is an important restriction because these positions often get filled at the worst possible prices, due to algorithmic front running.

In both instances, these services or products may include: company financial data and economic data (e.g., unemployment, inflation rates and GDP figures), stock quotes, last sale prices and trading volumes, research reports analyzing the performance of a particular company or stock, narrowly distributed trade magazines or technical journals covering specific industries, products, or issuers, seminars or conferences registration fees which provide substantive content relating to eligible research, quantitative analytical software and software that provides analyses of securities portfolios, trading strategies and pre / post trade analytics, discussions with research analysts or meetings with corporate executives which provide a means of obtaining oral advice on securities, markets or particular issuers, short - term custody related to effecting particular transactions and clearance and settlement of those trades, lines between the broker - dealer and order management systems operated by a third party vendor, dedicated lines between the broker - dealer and the investment adviser's order management system, dedicated lines providing direct dial - up service between the investment adviser and the trading desk at the broker - dealer, message services used to transmit orders to broker - dealers for execution, electronic communication of allocation instructions between institutions and broker - dealers, comparison services required by the SEC or another regulator (e.g., use of electronic confirmation and affirmation of institutional trades), exchange of messages among broker - dealers, custodians, and institutions related to a trade, post-trade matching of trade information, routing settlement instructions to custodian banks and broker - dealers» clearing agents, software that provides algorithmic trading strategies, and trading software operated by a broker - dealer to route orders to market centers or direct market access systems.

Algorithmic trading is a term which refers to the use of various technical indicators and advanced mathematics to make decisions about the timing, price and quantity of a market order.

As Diakopoulos puts it, «prices surges are like an elaborate game of algorithmic whack - a-mole» for drivers.

Algorithmic trading is simply a tool designed to help traders execute orders automatically based on pre-programmed trading instructions such as price, volume, and timing.

The cryptocurrency market is no stranger to algorithmic trading, with the use of trading bots and automated protocols fueling the activities of market makers, as well as those seeking arbitrage opportunities by taking advantage of varying prices across different exchanges.

Others seek an algorithmic anchor in the sea of market speculation, trusting software to moderate dynamic price changes.

It is simply an algorithmic appraisal based on recent sales, your purchase price, etc..