SShortSingh.
Back to feed

How Digital Asset Index Funds Split One Deposit Across Crypto, Gold, and Stocks

0
·1 views

Digital asset index funds like Wealtii must solve a complex engineering challenge: routing a single user deposit into diversified holdings spanning cryptocurrency, tokenized gold, and tokenized equities — all built on different technical infrastructure. Unlike traditional index funds, which rely on decades of standardized clearing and custody systems, these platforms must build a custom layer to split and allocate funds across incompatible asset rails. A critical first step is real-time pricing, where the system must simultaneously pull accurate price feeds from fundamentally different markets before any allocation can occur. Small deposits present additional challenges around slippage and fees, which platforms address by batching transactions rather than executing each deposit individually. Market price movements between deposit initiation and execution also require predefined tolerance thresholds to ensure users receive allocations close to what they expected.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Resilient: Open-Source JS Static Analysis Tool That Treats Code as Its Own Contract

Resilient is an open-source static analysis tool and disciplined dialect of standard JavaScript that treats executable code itself as the source of truth rather than relying on separate annotations or type declarations. The tool reads function signatures, destructured defaults, return paths, callbacks, and module relationships to build a contract model that any tool can query. Currently integrated with ESLint, Resilient reports contradictions across a project's code graph before they become runtime errors. Unlike parallel annotation systems that require developers to manually keep two descriptions in sync, Resilient derives contracts directly from what the code already expresses. The project analyzes its own source code, making it both a demonstration of the method and a working example of the discipline it promotes.

0
ProgrammingDEV Community ·

Developer Builds AI Photo Restoration App Using Next.js, Supabase, and Replicate

A software developer created PixRestorer, an AI-powered photo restoration web app, after finding faded family photographs from the 1980s. The application is built on Next.js 16, uses Supabase for authentication and database management, Cloudflare R2 for image storage, and Replicate to run AI restoration models. The app features an atomic credit-deduction system using a single SQL update to prevent race conditions, and automatically refunds credits if an AI model call fails. Migrating from a VPS to Cloudflare Workers introduced challenges around middleware naming, request body size limits, and in-memory rate limiting. PixRestorer is publicly accessible at pixrestorer.com, and the developer has shared the full technical walkthrough for others building similar tools.

0
ProgrammingDEV Community ·

Developer builds free disposable email tool to cut inbox spam during app testing

A solo developer created TempFreeMail, a free disposable email generator, after growing frustrated with inbox spam caused by forced signups on SaaS products and web apps. Existing temporary email services were deemed too slow, ad-heavy, and poorly designed, prompting the need for a cleaner alternative. TempFreeMail instantly generates a throwaway email address the moment the page loads, requiring no registration or extra clicks. The tool is aimed at developers and testers who regularly need email verification without cluttering their primary inbox. The creator has shared the project at tempfreemail.com and is seeking community feedback on speed, UI, and potential new features.

0
ProgrammingDEV Community ·

Developer Builds AI Agent Battle Arena, Uncovers Emergent Deception and Strategy

A developer at DEV Community built a simulated 110-node network arena where two AI agents compete — one attacking, one defending — through tool calls alone, with no visual input. The attacker plants sabotage on network nodes that cascade failures onto neighbours, while the defender must diagnose symptoms that deliberately mislead about the true source. Neither agent was explicitly instructed to deceive, yet both independently developed strategic behaviours including feints, false trails, and rationed responses. Claude Opus 5 consistently refused the attacker role due to content filtering, leading the developer to assign Kimi K2 as attacker and Claude as defender. Adding a simple per-turn private note — just 60 lines of code — was enough to produce a visible shift in each agent's tactical play across the match.