Cointelegraph Markets Pro VORTECS Report Summary — 179% Gains From 4 Alerts

In Cointelegraph Markets Pro’s latest VORTECS™ Report, the institutional-grade crypto alerts platform displayed how its members could have captured a cumulative 179% gain by following four trades based on four different Markets Pro indicators. The report depicts trading alerts generated between Feb. 26 and March 4, 2023.

The potential gains available to Cointelegraph Markets Pro subscribers significantly outperform a simple buy-and-hold strategy during the same period, which would’ve suffered a loss of 5% holding Bitcoin (BTC) and a loss of 4% holding Ether (ETH).

Cointelegraph Markets Pro used a variety of advanced data, such as its proprietary VORTECS™ Score, NewsQuakes™, Tweet Volume and the new Most Active On-Chain indicator, to alert subscribers of the potential for price changes before they occurred.

VORTECS™ Score

SingularityNET (AGIX) — 41% gain

AGIX’s price chart after a green VORTECS™ Score alert. Source: Cointelegraph Markets Pro

On Feb. 26, the asset was trading at $0.39 when Cointelegraph Markets Pro members received an alert for a high VORTECS™ Score of 87. Five days later, the price reached its weekly peak of $0.55 — an impressive increase of 41%!

AGIX is the utility token of SingularityNET, a decentralized artificial intelligence (AI) network on which participants create, share and monetize AI services at scale. AGIX is used for staking, transacting and governance on the network’s decentralized applications.

NewsQuakes™

Liquity (LQTY) — 82% gain

On Feb. 28, a NewsQuake™ alerted Cointelegraph Markets Pro members to a Binance announcement that it would list LQTY in its Innovation Zone. Just five hours later, the price skyrocketed from $1.42 to $2.58 — a remarkable rise of 82%!

LQTY is the native token of stablecoin lender Liquity. LQTY holders can stake their tokens to earn a portion of the fees generated by opening and closing loans.

Tweet Volume

The Tweet Volume indicator measures a project’s mentions and activity on the social media platform Twitter. The rationale behind using this data is that widespread, community-driven discussions can sometimes drive an asset’s price up or down.