Can I still manually override which symbols are shown?

Absolutely. The skill preserves CLI arguments as the highest priority, allowing you to explicitly define symbols while benefiting from automation when they aren't specified.

Does this skill require changes to my trading scripts?

Yes, it provides specific implementation patterns for updating monitor_dashboard.py and live_trader.py to support dynamic symbol passing and auto-discovery logic.

How does the skill handle cases where no models are found?

It implements a three-tier priority system that uses a minimal fallback (e.g., SPY, QQQ) to ensure the dashboard remains functional even if discovery fails.

What is the primary benefit of the Symbol Discovery skill?

It eliminates manual configuration of dashboard symbols by automatically detecting which assets have trained models and ensuring the dashboard stays in sync with the live trader.

Trading Dashboard Symbol Discovery

Name: Trading Dashboard Symbol Discovery
Author: smith6jt-cop

bysmith6jt-cop

0•

分析と監視

Automates the discovery and synchronization of trading symbols between reinforcement learning models and monitoring dashboards.

This skill ensures that trading dashboards accurately reflect the active symbols being traded by reinforcement learning models. It resolves common synchronization issues where dashboards display hardcoded or stale symbols by implementing a dynamic discovery pattern that scans for trained model files, accepts CLI overrides, and maintains a fallback system. This is particularly useful for algorithmic trading environments where the set of active assets changes frequently based on model training and universe selection, ensuring that developers always see relevant data in their monitoring tools.

主な機能

01Dynamic model-to-symbol mapping from model file stems

02Cross-process symbol synchronization between live trader and dashboard

030 GitHub stars

04Automatic detection of newly added models without manual configuration

05Smart fallback mechanism to prevent dashboard crashes when models are missing

06Multi-tier priority logic favoring CLI arguments over auto-discovery

ユースケース

01Synchronizing a live trading monitor with a dynamic universe of assets

02Fixing symbol mismatches between execution engines and monitoring interfaces

03Automating dashboard setup for new reinforcement learning trading environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add smith6jt-cop/skills_registry dashboard-symbol-discovery

For use in Claude.ai and ChatGPT

主な機能

01Dynamic model-to-symbol mapping from model file stems

02Cross-process symbol synchronization between live trader and dashboard

030 GitHub stars

04Automatic detection of newly added models without manual configuration

05Smart fallback mechanism to prevent dashboard crashes when models are missing

06Multi-tier priority logic favoring CLI arguments over auto-discovery

ユースケース

01Synchronizing a live trading monitor with a dynamic universe of assets

02Fixing symbol mismatches between execution engines and monitoring interfaces

03Automating dashboard setup for new reinforcement learning trading environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add smith6jt-cop/skills_registry dashboard-symbol-discovery

For use in Claude.ai and ChatGPT