Welcome to our AI Robot Trader website! Thank you for taking the time to read our collected news articles on bitcoin, crypto, and forex. We hope you have found the information on our site to be valuable and informative. At AI Robot Trader, we are dedicated to providing the latest news and insights on the world of automated trading and cryptocurrency. We believe that these technologies have the potential to revolutionize the way we do business and invest, and we are excited to share our knowledge and expertise with our readers. We are also pleased to announce that our website is for sale to the right person looking to partner with us. If you are interested in leveraging the power of AI and machine learning to revolutionize your trading and investing strategies, we would love to hear from you. Thank you again for visiting our website. We hope you will continue to follow us for the latest updates and insights in the world of AI robot trading and cryptocurrency.
WASHINGTON, Dec 29 (Reuters) - The dollar slipped on Thursday with investors on edge at the end of the year as initial optimism over China's reopening fizzled out and as markets processed a readout of U.S. jobless claims.
Markets are weighing the impact of China's rapid loosening of its strict COVID-19 rules with a surge in new infections.
"China is one of the keys I think to 2023 and what happens to the global economy," said Chris Gaffney, president of world markets at TIAA Bank.
Following China's removal of its quarantine rule for inbound travelers from Jan. 8, the United States, Japan, India and other countries said they would require COVID tests for travelers from China.
"If they can bounce back from the dramatic slowdowns that we've seen, that helps the overall growth on the global scale, but on the other hand, it could also lead to higher energy demand and more demand means higher prices," said Gaffney.
After hitting a one-week high against the yen on Wednesday, which saw the dollar touch 134.40, the greenback hit a session low against the yen on Thursday. The dollar last fell 1.1% against the yen to 133.005.
The dollar also fell against the Swiss franc to as low as 0.9208, the lowest level since March 31. It was last down 0.71% against the Swiss franc at 0.922.
Against a basket of currencies, the U.S. dollar index fell 0.479% to 103.840, having climbed 0.18% in the previous session.
That drop may have been a reaction to fresh U.S. jobless claims numbers on Thursday, said Steve Englander, head of G10 FX research at Standard Chartered.
The Labor Department found that the number of people receiving benefits after an initial week of aid rose to 1.710 million in the week ending Dec. 17. Those so-called continuing claims, a proxy for hiring, have drifted higher since early October.
"Historically, when you have that pace of increasing continuing claims, it's been an early signal of a downturn," said Steve Englander, head of G10 FX research at Standard Chartered.
But analysts warned against reading too much into price moves amid low trading volumes as markets head into the new year.
"It's the end of the year and there are liquidity issues and so on, so the market may be reacting more to incoming data than it would under normal liquidity circumstances," said Englander.
Investors are likely eager for the fresh information that 2023 will bring, said Craig Erlam, markets analyst at currency platform Oanda.
"We very much appear to be in drifting mode, awaiting the turn of the year when traders return and we can get the latest thoughts from policymakers and the most up-to-date data," he said.
Sterling rose 0.42% against the dollar to 1.207 after slipping 0.11% the previous day.
The aussie rose 0.70% versus the greenback at $0.678, while the kiwi rose 0.68% against the dollar at $0.635.
Currency bid prices at 2:12PM (1912 GMT)
Reporting by Hannah Lang in Washington; Additional reporting by Harry Roberston in London and Rae Wee; Editing by Bradley Perrett, Stephen Coates, Andrew Heavens, Nick Macfie anad Alison Williams
Our Standards: The Thomson Reuters Trust Principles.
AI robot trading is the use of artificial intelligence (AI) and machine learning algorithms to analyze financial markets and execute trades automatically. AI robots are able to analyze vast amounts of data and make decisions based on that analysis, allowing them to identify trading opportunities that might be missed by human traders. One key aspect of AI robot trading is machine learning, which is a type of AI that enables systems to learn and improve their performance over time. Machine learning algorithms are able to analyze data and use it to make predictions or decisions without being explicitly programmed to do so. This allows them to adapt and improve their performance as they are exposed to more data. There are several techniques that can be used in AI robot trading, including: Decision trees: These are algorithms that use a tree-like structure to make decisions based on multiple conditions. Neural networks: These are algorithms that are inspired by the structure and function of the human brain, and are capable of learning and adapting based on input data. Genetic algorithms: These are algorithms that use principles of genetics and natural selection to optimize and improve their performance over time. Reinforcement learning: This is a type of machine learning that involves an AI agent receiving rewards or punishments for certain actions, and using that feedback to learn and adapt its behavior. By using these and other techniques, AI robot traders are able to analyze financial data and make informed decisions about when to buy and sell assets. This can help them achieve better returns and outperform human traders in some cases.