Integrating AI & Blockchain in Finance: An Innovation Method for Transparent, Secure, and Automated Investment Decision-Making

Abstract

The demand for such digital financial systems around the world is growing and there's pressure to use the latest technology to make them transparent, safe and not slow. Notable disruptive elements in this area include AI and Blockchain which may change investment desirability all together. In the combination of AI and Blockchain here you get these predictive/ pattern recognition and intelligent automation for such. to what the blockchain would not perfectly deliver as AI does. AI adds predictive/pattern recognition &intelligent automation to what the block-chain does it self as being that Immutable Ledger which is Decentralized (because there's no Central body) & Trustless (when you do this With Smart Contract so everything's Mathematically verified. In conclusion, we have presented an end-to-end intelligent auto-IDMS that fully incorporates AI and Blockchain. The system itself effectively performs in four stages namely Data Ingestion, Prediction Analytics, Decision Execution and Audit Logging. RT TRACKING – including financial & market news, indicators etc from around the world. Pattern recognition, data mining and asset performance prediction - AI models are just a kind of machine learning or deep learning models (only using another black box instead of what already existed) that use raw data feeds in order to diagnose for instance what is actually surprising, or figure out for example what the expected performance would be if there even was one -or look for strange fight-or-flight changes to make based off some lazy portfolio management. The readings are written to a smart contract of some blockchain and invested. All the investment decisions, model updates and transaction logs related to “rights” is written on-chain so the fund is a very transparent and traceable (and of course tamper-proof) application. That is this cool piece of federated learning that is privacy preserving as well as model accountability by fairly banking its data into a private local bank (yet delivering to the global AI models).- Here smart contracts can be use, were software meets KYC like compliance or due-diligence all the while investing logic just farms across a layer automation based on several risk limit profile Assignment and/or performance triggers. It also has a live dashboard to expose the investment thesis and model history, as well as its previous on-chain activity for anyone interested. Experimental results on real-world stock market historical data show that, compared to the traditional existed investment theories, the proposed trading system has higher overall accuracy and lower decision time and transparency. Then there's the blockchain (and friction-but-elseeverything's”) because we'd get to nearly all of operation for next-to-zero opex (old and forced-automatic: intermediaries back. We are laying down the groundwork for an intelligent, trustworthy and scalable financial infrastructure for next-generation investment ecosystems.