Despite ongoing criticism of lawmakers trading stocks, members of Congress have continued to post profitable trades. Data from a bot tracking congressional trades shows that average investors who ...
Crypto firms are securing bank charters and direct access to the Federal Reserve’s payment systems, marking a major regulatory shift under the Trump administration. Stablecoins are poised for ...
BitMine Immersion Technologies (BMNR) has transformed into the world’s largest public Ethereum treasury, holding over 4 million ETH worth $12 billion. BMNR trades at 0.80x book value, a 20% discount ...
Abstract: Trading institutions rely heavily on advanced computational capabilities and sophisticated algorithms for high-frequency trading, which often results in significant disadvantages for ...
XRP’s transaction volume continues declining even as RippleNet expands to over 300 banking partners. Banks use RippleNet’s infrastructure without requiring XRP because the token remains optional for ...
Brokerages are starting to roll out copy trading on their platforms for U.S. users. eToro founder Johnathan "Yoni" Assia said its copy-trading product would be "an important driver of growth in the ...
Google was accused in a lawsuit of using its Gemini AI assistant to unlawfully track the private communications of users of its Gmail, instant messaging and videoconference programs. In the past, ...
Crypto trading bots are automated software programs that execute trades on behalf of investors using pre-defined algorithms and market signals. They analyze real-time data such as price trends, ...
As long as financial markets have existed, so has market manipulation. But what if the people engaging in market manipulation aren't people at all? The indicators, Adrian Ma and Wailin Wong uncover ...
As the crypto market becomes increasingly dynamic, traders have turned to AI-powered tools to gain an edge. From bots that automate trades based on price action to sophisticated systems that scan ...
Abstract: This study investigates the application of Deep Reinforcement Learning (DRL) methods to develop autonomous algorithmic trading strategies that dynamically adapt to market conditions. Using ...
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