wolf-howl

Name: wolf-howl
Availability: InStock
Author: Senpi

Automate nightly retrospective analysis of WOLF strategy trading activity and generate improvement reports.

113|34|Updated Feb 23, 2026

Search Tags:#optimization #memory #reporting #drift-detection #autonomous #trading-analysis #howl

Ready to run

npx skills add https://github.com/Senpi-ai/senpi-skills --skill wolf-howl

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wolf-howl
Source: https://github.com/Senpi-ai/senpi-skills/tree/main/wolf-howl
Command: npx skills add https://github.com/Senpi-ai/senpi-skills --skill wolf-howl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Automates nightly retrospective analysis of all trades to identify actionable improvements for the WOLF autonomous trading strategy, reducing manual review time and surfacing data-driven insights.

Core Features & Use Cases

Automated nightly review: analyzes trades from the last 24 hours to compute win rate, gross and net PnL, fees, and DSL tier progression.
Diagnostic insights: evaluates holding-period buckets, regime signals, and feature interactions to surface optimization opportunities.
Memory and reporting workflow: updates MEMORY.md and writes a structured memory/howl-YYYY-MM-DD.md report, plus a concise Telegram summary for quick visibility.

Quick Start

Configure HOWL to run nightly and generate the memory/howl-YYYY-MM-DD.md report along with MEMORY.md updates.

Frequently Asked Questions about wolf-howl

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate nightly trading analysis and strategy optimization?▼

Automate nightly trading analysis by running a scheduled retrospective over the last 24 hours of activity. This computes win rate, net PnL, fees, and holding-period buckets to deliver data-driven strategy optimization recommendations.

What metrics are included in an autonomous trading strategy retrospective?▼

An autonomous trading strategy retrospective includes metrics such as win rate, gross and net PnL, fees (FDR), DSL tier performance, holding-period buckets, and regime signals to surface actionable improvement opportunities.

How do I set up nightly drift detection for my trading strategy?▼

Set up nightly drift detection by configuring a scheduled cron job to execute the analysis workflow. It evaluates regime signals and feature interactions, writing a structured memory report and a concise summary for quick visibility.

Does nightly trading analysis require access to memory and strategy configuration?▼

Nightly trading analysis requires access to memory, DSL state, and strategy configuration to execute properly. These dependencies are necessary to compute performance metrics and generate accurate improvement recommendations.

What is the best way to generate daily trading performance reports automatically?▼

The best way to generate daily trading performance reports automatically is through a structured workflow that updates memory files and writes a dated report. This reduces manual review time and surfaces data-driven insights.

Can I use nightly trading analysis for daily optimization scenarios without manual review?▼

Nightly trading analysis is designed for daily optimization scenarios without manual review. It automates retrospective analysis of all trades to identify actionable improvements, reducing manual review time significantly.