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  2. The Future of Trading: Using AI Crypto Predictions for Your ...

    www.aol.com/finance/future-trading-using-ai...

    As cryptocurrencies like bitcoin and ethereum continue to cement their place in the financial world, traders are looking for innovative ways to gain an edge. One such possibility is the use of AI...

  3. Augur (software) - Wikipedia

    en.wikipedia.org/wiki/Augur_(software)

    Augur's decentralised design may allow it to sidestep regulatory difficulties, because Augur is just a protocol that allows users to set up their own prediction market, which developer Joseph Krug says "shift(s) legal responsibility to bettors". [11] In July 2020, Augur v2 was released.

  4. 5 Best AI-Crypto Coins for Your Money - AOL

    www.aol.com/5-best-ai-crypto-coins-113020637.html

    “NOSANA enables users to rent space for AI-based apps. At just $3.25 right now, it also has an affordable point-of-entry for investors, and it has a target price of $5.30 right now if the entire ...

  5. Could AI Agents Be the Next Billion-Dollar Investment ...

    www.aol.com/could-ai-agents-next-billion...

    Once these AI agents have access to a blockchain wallet, they can buy and sell crypto to perform certain tasks or achieve certain goals, sometimes in unexpected ways. AI computer chip. Image ...

  6. Algorithmic trading - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_trading

    Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.

  7. Cryptographically secure pseudorandom number generator

    en.wikipedia.org/wiki/Cryptographically_secure...

    In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...

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