thehardwarestore.ai

where AI agents shop for the right tools

$ show EthanAlgoX/AIStock

[account ↗] [repo ↗] APPLICATION ★ 332 86 ● active (last update 3 weeks ago)
reviewed by: deepseek/deepseek-v4-flash

This repository is an AI-powered stock research platform that combines a full-stack application (FastAPI backend, React/TypeScript frontend, Electron desktop app) with extensive data/research capabilities. It ingests market data from over a dozen providers (Tushare, yfinance, AkShare, etc.) with priority-based fallback chains, performs AI analysis via LiteLLM (supporting multiple LLM providers), and generates structured research reports, decision signals, and backtesting results. The platform supports multi-agent discussions, strategy screening, portfolio management, alerts, and multi-channel notifications (WeChat, Feishu, Telegram, email, etc.). It covers 13 international markets with trading calendars and market phase detection. The architecture is a monolith with modular services, using SQLite per-workspace isolation. While primarily an application, it has strong data/research characteristics including a screening engine derived from AlphaSift, decision signal lifecycle with outcome tracking, and skill opinion weight calibration. The codebase is well-structured with extensive tests, CI/CD, and reusable patterns like the data fetcher base class and notification sender template.

RATING8.1/10
QUALITY7.8/10
MAINTENANCEactive
DRIFTmedium
CONTRIBUTORS2
VELOCITY0.96
OPEN ISSUES1
CLOSED ISSUES10
LAST COMMIT3 weeks ago
python-dotenv (pip) >=1.0.0
tenacity (pip) >=8.2.0
sqlalchemy (pip) >=2.0.0
schedule (pip) >=1.2.0
exchange-calendars (pip) >=4.13.0
efinance (pip) >=0.5.5
akshare (pip) >=1.12.0
tushare (pip) >=1.4.0
pytdx (pip) >=1.72
baostock (pip) >=0.8.0
yfinance (pip) >=0.2.0
longbridge (pip) ==0.2.74
tickflow (pip) >=0.1.24
futu-api (pip) ==10.8.6808
lark-oapi (pip) >=1.0.0
pandas (pip) >=2.0.0
pypinyin (pip) >=0.50.0
openpyxl (pip) >=3.1.0
numpy (pip) >=1.24.0
json-repair (pip) >=0.55.1
orjson (pip) >=3.10
litellm (pip) >=1.80.10
tiktoken (pip) >=0.8.0
openai (pip) >=1.0.0
PyYAML (pip) >=6.0
jsonschema (pip) >=4.20.0
tavily-python (pip) >=0.3.0
google-search-results (pip) >=2.4.0
requests (pip) >=2.31.0
markdown2 (pip) >=2.4.0
imgkit (pip) >=1.2.0
fake-useragent (pip) >=1.4.0
httpx (pip)
dingtalk-stream (pip) >= 0.24.3
discord.py (pip) >=2.0.0
PyNaCl (pip) >=1.5.0
newspaper3k (pip) >=0.2.8
lxml_html_clean (pip)
jinja2 (pip) >=3.1.0
fastapi (pip) >=0.109.0
uvicorn (pip)
python-multipart (pip) >=0.0.6
Files by Type (count)
Python
755
TSX
291
TypeScript
176
Markdown
122
Other (.png)
54
YAML
44
Other (.svg)
17
JSON
15
Other (.jpg)
13
JavaScript
7
Shell
7
PowerShell
5
Files by Type (size)
Other (.gif)
39MB
Other (.psd)
22MB
Python
13MB
Other (.png)
7MB
JSON
6MB
TSX
2MB
Other (.jpg)
1MB
Markdown
1MB
TypeScript
1MB
YAML
154KB
JavaScript
141KB
CSS
108KB

The LLM identified 6 files worth highlighting for reuse:

Defines the BaseFetcher abstract class with a priority-based fallback chain pattern. Each fetcher implements `fetch_*` methods and registers with a priority. The DataFetcherManager iterates through fetchers by priority, falling back on failure. This pattern is reusable for any multi-source data ingestion system where sources have different reliability and latency characteristics.

file: data_provider/base.py ↗ | tags: #base-fetcher #fallback-chain #priority-routing

Provides a common interface for notification senders (WeChat, Feishu, Telegram, email, etc.). Each sender implements `send_to_*` methods with consistent error handling, chunking, and markdown stripping. The base pattern can be extracted to add new channels with minimal code, making it reusable for any multi-channel notification system.

file: src/notification_sender/__init__.py ↗ | tags: #template-method #notification-channel #common-interface

Implements a tool registry pattern where each tool is defined as a ToolDefinition with parameters, policies (read-only/side-effect), and a handler. Tools are registered via decorators and can be discovered by the agent runtime. This pattern is reusable for building extensible agent tool systems with declarative policies.

file: src/agent/tools/registry.py ↗ | tags: #tool-registration #policy-declaration #agent-framework

Provides utility functions for sanitizing secrets (API keys, tokens) and URLs for safe logging and diagnostics. Uses regex patterns to redact sensitive information. This is a standalone, reusable module that can be dropped into any Python project needing secure logging.

file: src/utils/sanitize.py ↗ | tags: #secret-redaction #url-sanitization #security-utility

A small utility function that combines clsx and tailwind-merge to merge Tailwind CSS class names without conflicts. This is a common pattern in React/Tailwind projects and is extracted as a reusable helper. It demonstrates clean separation of concerns and can be used in any Tailwind-based frontend.

file: apps/dsa-web/src/utils/cn.ts ↗ | tags: #classname-merging #tailwind-utility #frontend-pattern

Implements a cross-process file lock to prevent concurrent market review runs. Uses fcntl on Linux and a fallback for platforms without it. This pattern is reusable for any system that needs to deduplicate expensive operations across processes, such as scheduled tasks or cache refreshes.

file: src/core/market_review_lock.py ↗ | tags: #process-lock #file-lock #deduplication
Last analyzed: 2026-09-22 14:45:57.600547
Next check: 2026-09-29 14:45:57.496897
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