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sydowma/README.md

Hello World

I'm sydowma, a developer focused on AI tools, trading systems, and local-first developer workflows.

I like building practical tools that sit close to real workflows: agent CLIs, browser automation, crypto market research, exchange infrastructure, and self-hosted apps.

Current Focus

  • AI agents and code tools that can inspect real browser/web context.
  • Self-hosted AI applications with local data ownership.
  • Crypto trading infrastructure, exchange APIs, market-data tooling, and strategy research.
  • Simple developer workflows that turn manual operating procedures into reliable commands.

Featured Projects

Project Stack What it does
speaking-review TypeScript, Bun, React, whisper.cpp, Claude Self-hosted AI English speaking review tool for IELTS practice, mock interviews, Cambly lessons, transcripts, correction cards, and local-first review storage.
Agent-Reach Python CLI that gives AI agents web-scale reading/searching across sources such as Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu without requiring paid platform APIs.
ai-crypto-terminal Python AI-powered crypto research terminal with Binance market data, technical indicators, chart analysis, web research, and a local UI.
strategy_nautilus_trader Python, NautilusTrader Strategy lab with EMA/MACD/Camarilla examples, crypto backtests, funding-rate experiments, and report tooling.
crypto_exchange_mcp Python, MCP MCP server for cryptocurrency exchange APIs, including Bybit, OKX, and Binance public endpoints.
portfolio-monitor JavaScript Real-time multi-account OKX dashboard for balances, positions, orders, bills, and WebSocket live updates.

Tooling I Use Often

  • Languages: Python, TypeScript, Java, C++, Rust.
  • AI/dev tools: Claude, OpenAI APIs, MCP, OpenCLI, browser automation, local-first pipelines.
  • Frontend/backend: React, Vite, Bun, Node.js, HTTP APIs, WebSocket systems.
  • Trading/data: exchange APIs, market data, latency measurement, backtesting, reporting.
  • Infrastructure: Docker, Linux services, Caddy, self-hosted deployments.

Recent Direction

The latest work has been around making AI workflows less manual:

  • speaking-review now has a guided setup script, Cambly import helpers, bilingual README docs, and a safer OpenCLI-based flow that reuses a logged-in Chrome session without storing Cambly credentials.
  • Agent-Reach and related tools explore how agents can gather real web context from many sources through a single command-line interface.
  • The crypto projects focus on making research, monitoring, and strategy iteration faster without hiding the underlying data.

Contact

Pinned Loading

  1. xlabsg/prompTrading xlabsg/prompTrading Public

    Conversational AI algorithmic trading platform: prompt-to-strategy generation, autonomous backtesting loop, institutional-grade risk engine, and live crypto trading

    Python 2