u/Conscious-Track5313
r/LLMDevs r/buildinpublic r/LocalLLM r/ZaiGLM r/AI_travel_tips r/ai_trading r/ollama r/PromptEngineering r/fintech r/swift r/appledevelopers r/algotrading r/mcp r/DeepSeek
▲ 1 r/ai_trading
I wrote a zero-dependency CLI client for SEC EDGAR
hi, I've spent the last couple weeks building a Swift library for pulling SEC filing data - 13F portfolios, XBRL financials, insider trades, fund holdings. Open-sourced it. Foundation-only, no dependencies. Suitable for any agent workflow
CLI
Query SEC EDGAR from your terminal.
Install
brew tap ElveanApp/tap
brew install edgar
Or build from source:
swift build -c release
cp .build/release/edgar /usr/local/bin/
Usage
$ edgar portfolio BRK-B
BERKSHIRE HATHAWAY INC — 13F Portfolio
Filing: 2026-05-15
Name Shares Value (k$) Ticker Type
AMERICAN EXPRESS CO 14906104 $4508798489 AXP COM
COCA COLA CO 28272272 $2150106354 KO COM
...
$ edgar financial AAPL Revenues
$ edgar insider MSFT
$ edgar 8k GOOGL
$ edgar search NVIDIA
$ edgar fund VOO
u/Conscious-Track5313 — 25 days ago
▲ 2 r/swift
I open-sourced a native Swift client for SEC EDGAR - zero dependencies, async/await, actors for rate limiting
https://github.com/ElveanApp/swift-edgar
Initially built this for my app and then figured it'd be more useful as a standalone thing anyone can use. It's a Swift library + CLI for pulling SEC data -13F portfolios, XBRL, financials, insider trades, 8-K events, fund holdings, the works. Zero dependencies, just Foundation.
A couple things I'm actually happy with: the HTTP client is an actor that handles SEC rate limiting (they cap you at 10 req/sec, so it self-throttles via Task.sleep), and the 13F/Form 4/N-PORT XML parsing is all native Foundation.XMLParser. No external dependencies . Just delegates and a bit of patience.
Also ships as a single-binary CLI — if you're into that:
brew tap ElveanApp/tap && brew install edgar
edgar portfolio BRK-B
edgar search NVIDIA
Would love feedback
u/Conscious-Track5313 — 27 days ago
Ultimate travel planning with google flights and AirBnB CLIs running inside linux container on Mac
What's supported:
- full fledged google flights search and airbnb search, you get results with weblinks for booking
- web search + image search
- Apple Maps & WeatherKit integration
- Apple Calendar integration
u/Conscious-Track5313 — 29 days ago
Ultimate travel planning with DeepSeek-v4-flash + google-flights -cli + airbnb-cli + websearch
all CLI tools running inside sandboxed linux container on Mac which is exposed as a tool for LLM
u/Conscious-Track5313 — 29 days ago
▲ 2 r/ai_trading
Using Gemini 3.5-Flash to analyze current holdings of Situational Awareness LP fund at 156 tok/s 🚀
u/Conscious-Track5313 — 2 months ago
Running Linux sandbox as tool for AI models on Mac - no Docker, no remote VMs, all inside single app
How it works:
- I'm using Apple's new Containerization framework (open source, shipped with macOS 26) - spins up an Alpine Linux VM in ~6 seconds
- The LLM gets a run_command tool - it can install dependencies, run scripts, compile code, whatever it needs
- There's also a real interactive terminal (SwiftTerm + PTY) so you can jump in alongside the AI — Ctrl+C, vim, top, all work
- Container state persists between sessions - packages you install survive restarts
- The project's workspace folder is mounted at /workspace, so the AI and terminal share the same files
- Total overhead: ~37MB RAM for the sandbox service + ~540MB for the VM process
Curious if anyone else is doing something similar with local sandboxed execution for agents. Most solutions I've seen use Docker or remote VMs - this runs entirely on-device with no dependencies.
u/Conscious-Track5313 — 2 months ago
Local Linux sandbox for AI agents on macOS - no Docker, no remote VMs, all inside single native app
Hello, I've been building Elvean - native MacOS AI client app that connects to any OpenAI-compatible provider. Recently added a feature I'm pretty excited about:
a full Linux sandbox that AI agents can use to run commands, install packages, and execute code - all inside a lightweight VM on your Mac.
Here is video where AI runs flight-goat-pp-cli — a Go-based CLI for flight ticket searching
from sandbox after installing it directly from github.
How it works:
- Uses Apple's new Containerization framework (open source, shipped with macOS 26) — spins up an Alpine Linux VM in ~6 seconds
- The LLM gets a run_command tool — it can install dependencies, run scripts, compile code, whatever it needs
- There's also a real interactive terminal (SwiftTerm + PTY) so you can jump in alongside the AI — Ctrl+C, vim, top, all work
- Container state persists between sessions — packages you install survive restarts
- The project's workspace folder is mounted at /workspace, so the AI and terminal share the same files
- Total overhead: ~37MB RAM for the sandbox service + ~540MB for the VM process
Curious if anyone else is doing something similar with local sandboxed execution for agents. Most solutions I've seen use Docker or remote VMs - this runs entirely on-device with no dependencies.
u/Conscious-Track5313 — 2 months ago
▲ 2 r/ai_trading
AI Equity research on Mac
I've been working on connecting financial data sources through MCP,
I connected Yahoo Finance MCP + EODHD MCP to a native Mac app I'm building. The model pulls earnings data, renders interactive tradingview + other popular forms of charts, builds sortable tables — all in one conversation.
Added SEC EDGAR as a built-in tool so it can query 10-K/10-Q filings directly. Combined with web search and yahoo-finance-mcp it handles most of what I used to do across 6 browser tabs by running multi-step agentic loop.
The part I'm most excited about: a Knowledge Base that auto-distills key findings from each conversation into an Obsidian style folder with .md files. So when I come back to research the same company later, the model already has context from my previous work.
Full walkthrough with screenshots: https://elvean.app/blog/ai-equity-research-mac/
MCP servers used:
- yahoo-finance-mcp (local, STDIO)
- EODHD (remote, OAuth)
- Financial Datasets (remote, OAuth)
For UI I'm using TradingView and Charts.js
Curious if anyone else is building with MCP for financial workflows — the combination of structured data + rich rendering + agentic chaining feels like it unlocks a lot.
u/Conscious-Track5313 — 2 months ago
▲ 1 r/buildinpublic
what is your experience with subreddits like r/buildinpublic ?
u/Conscious-Track5313 — 2 months ago
▲ 1 r/fintech
Been working on connecting financial data sources through MCP,
I connected Yahoo Finance MCP + EODHD MCP to a native Mac app I'm building. The model pulls earnings data, renders interactive tradingview + other popular forms of charts, builds sortable tables — all in one conversation.
Added SEC EDGAR as a built-in tool so it can query 10-K/10-Q filings directly. Combined with web search and yahoo-finance-mcp it handles most of what I used to do across 6 browser tabs by running multi-step agentic loop.
The part I'm most excited about: a Knowledge Base that auto-distills key findings from each conversation into an Obsidian style folder with .md files. So when I come back to research the same company later, the model already has context from my previous work.
Full walkthrough with screenshots: https://elvean.app/blog/ai-equity-research-mac/
MCP servers used:
- yahoo-finance-mcp (local, STDIO)
- EODHD (remote, OAuth)
- Financial Datasets (remote, OAuth)
For UI I'm using TradingView and Charts.js
Curious if anyone else is building with MCP for financial workflows — the combination of structured data + rich rendering + agentic chaining feels like it unlocks a lot.
u/Conscious-Track5313 — 2 months ago
▲ 22 r/algotrading
I connected Yahoo Finance MCP + EODHD MCP (77 tools, OAuth) to a native Mac app I'm building. The model pulls earnings data, renders interactive tradingview + other popular forms of charts, builds sortable tables — all in one conversation.
Added SEC EDGAR as a built-in tool so it can query 10-K/10-Q filings directly. Combined with web search and yahoo-finance-mcp it handles most of what I used to do across 6 browser tabs by running multi-step agentic loop.
The part I'm most excited about: a Knowledge Base that auto-distills key findings from each conversation into an Obsidian style folder with .md files. So when I come back to research the same company later, the model already has context from my previous work.
Full walkthrough with screenshots: https://elvean.app/blog/ai-equity-research-mac/
MCP servers used:
- yahoo-finance-mcp (local, STDIO)
- EODHD (remote, OAuth)
- Financial Datasets (remote, OAuth)
u/Conscious-Track5313 — 2 months ago
I connected Yahoo Finance MCP + EODHD MCP (77 tools, OAuth) to a native Mac app I'm building. The model pulls earnings data, renders tradingview charts, and builds sortable tables — all in one conversation.
Added SEC EDGAR as a built-in tool so it can query 10-K/10-Q filings directly. Combined with web search and yahoo-finance-mcp it handles most of what I used to do across 6 browser tabs.
The part I'm most excited about: a Knowledge Base that auto-distills key findings from each conversation into an Obsidian style folder with .md files. So when I come back to research the same company later, the model already has context from my previous work.
Full walkthrough with screenshots: https://elvean.app/blog/ai-equity-research-mac/
MCP servers used:
- yahoo-finance-mcp (local, STDIO)
- EODHD (remote, OAuth)
- Financial Datasets (remote, OAuth)
u/Conscious-Track5313 — 11 hours ago
▲ 1 r/mcp
I connected Yahoo Finance MCP + EODHD MCP (77 tools, OAuth) to a native Mac app I'm building. The model pulls earnings data, renders candlestick charts, and builds sortable tables — all in one conversation.
Added SEC EDGAR as a built-in tool so it can query 10-K/10-Q filings directly. Combined with web search, it handles most of what I used to do across 6 browser tabs.
The part I'm most excited about: a Knowledge Base that auto-distills key findings from each conversation into an Obsidian style folder with .md files. So when I come back to research the same company later, the model already has context from my previous work.
Full walkthrough with screenshots: https://elvean.app/blog/ai-equity-research-mac/
MCP servers used:
- yahoo-finance-mcp (local, STDIO)
- EODHD (remote, OAuth)
- Financial Datasets (remote, OAuth)
u/Conscious-Track5313 — 2 months ago
https://testflight.apple.com/join/NtbH4T5R
Elvean - is Private AI wokrspace for Mac with agentic tools, elegant UI, interactive charts, maps, weather cards, sortable tables, Slack-like threads and access to local and cloud models. Runs local models as well as BYOK clouds models from providers like OpenRouter or Ollama.
u/Conscious-Track5313 — 2 months ago
▲ 52 r/LocalLLM
Seems like the hype is trending down, reminds me the clubhouse. Peter showed the masterclass on how to cash out at the top.
u/Conscious-Track5313 — 2 months ago