Provided are a method and apparatus for creating a quantitative trading strategy. The method includes: displaying a graphical interface, which includes at least one editable control; obtaining a graphical quantitative trading strategy inputted by a user via the graphical interface, where the graphical quantitative trading strategy includes at least two edited controls and a connection line configured to connect the at least two edited controls, and each edited control includes an attribute parameter; obtaining a script of the quantitative trading strategy based on the graphical quantitative trading strategy; and running the script of the quantitative trading strategy to obtain a quantitative trading result. The user can edit a desired graphical quantitative trading strategy based on various needs via the graphical interface, without requiring the capability of writing program codes, to create a quantitative trading strategy in a simple and flexible way to meet the user's needs.

Systems and methods involve an intelligent application mapping function of a central platform that maps a direct interactive electronic communication channel between an issuer terminal and an investor terminal based at least partly on investor positions in the issuer held by respective custodial intermediaries in a chain of custodial intermediaries for the investor. Thereafter, an intelligent application notification function of the platform transmits, via the direct interactive electronic communication channel to the investor terminal, data representing a notification regarding a meeting for the issuer, and an intelligent application voting function of the platform returns, from the investor terminal via the direct interactive electronic communication channel to the processor of the issuer terminal, data representing an exercise of investor voting rights associated with the investor positions for the investor.

Disclosed is a decentralized computing system for enabling autonomous agent-based trading, the system comprising: computing nodes implementing trading platform; distributed computing arrangement coupled to the nodes; user devices; and agent database comprising autonomous agents associated with the devices; computing node(s) is configured to: receive, from first and second user devices, respective requests for placing first and second trades; a first autonomous agent is configured to send, to second AA via communication interface, first set of trade parameters and digital signature; second AA is configured to perform trade match between first and second trade parameters; distributed computing arrangement comprises: verification module to lock funds, receive and verify digital signature and trade parameters, and transfer funds to execution module; and execution module to lock trade subject and transfer funds to second user and trade subject to first user, completing trading.

Disclosed is a corporate wrapped blockchain; the corporate wrapper is implemented by a business entity that issues stock in the blockchain. The blockchain offers a plurality of stock classes that include a preferred stock and a common stock. The blockchain also includes a validator that owns preferred stock in the blockchain.

Methods, systems, and techniques for applying a rules engine. Rules corresponding to trigger conditions to be evaluated in respect of a client, and client data pertaining to the client, are obtained. The rules are applied by the rules engine so as to evaluate trigger conditions in respect of at least one product and in respect of at least one document requirement that requires the client to provide a particular document or class of document prior to purchasing the at least one product. The result of applying the rules is a matrix that summarizes, for each of the at least one product, which of the at least one document is required for the client to purchase the product.

The present application generally relates to electronic trading systems, and more specifically to systems and methods for electronic trade order routing. A routing algorithm may generate an execution style recommendation for incoming IG corporate orders. For example, the style recommendation may be shown as a new column in the trading application dashboard that suggests a course of action to traders for each order. In one implementation, automatic decision making may occur based on the style recommendation.

The method includes: receiving a communication that relates to a request for a price quote for at least one equity derivative product; extracting from the communication, attributes of the requested price quote for the at least one equity derivative product; generating based on the extracted attributes, a template request that has a predetermined format for each of the at least one equity derivative product; displaying, via a graphical user interface (GUI), each template request for review by a user, wherein the GUI includes an input mechanism for at least one of accepting and modifying each template request; transmitting each reviewed template request to a pricing system; receiving, from the pricing system, a quote for each of the at least one equity derivative product; and displaying, by the GUI, the price quote.

A system for managing and carrying out trading and swaps of spot cryptoasset index tracking weighted asset benchmark prices (SCAITWABPs). The system makes use of a plurality of edge artificial intelligence computing devices (EAICDs) for powering peer-to-peer (P2P) marketplaces. The EAICDs facilitate processor computer driven decentralized exchanges (DEX) of SCAITWABPs whose spot index cryptoasset values track market prices and algorithm-driven performance analytics of referenced weighted average benchmark (WAB) sets of tradable assets, whereby each asset specified in the WAB set qualifies for transactions physically settled over counterpart marketplaces. A plurality of dongles are used with each being independently operably associated with a specific one of said EAICDs. Each one of the EAICDs includes: artificial intelligence (AI); machine learning (ML) and dongle authentication processes. These components advance carrying out decentralized finance with controls over access to price discovery and analytics data streamed to and from a remote hybrid paradigm price discovery database (HPPDD), as well as an electronic, self-custodial wallet and operations pertaining to the electronic, self-custodial wallet.