financial_analysis_automation

Name: financial_analysis_automation
Author: adityahimaone

72stars5forks

How to install financial_analysis_automation?

adityahimaone/hermes-agent-rtk-caveman/financial_analysis_automation

$npx -y skills add adityahimaone/hermes-agent-rtk-caveman --skill financial_analysis_automation

Installs into the current project.

Summary

Create automated financial analysis skills with scheduled execution and result storage. Use when you need to build custom stock/scanning analysis that runs automatically and saves results to Obsidian for daily review.

Files · 1

View on GitHub

SKILL.md

1	# Financial Analysis Automation Skill
2
3	Use this skill to create automated financial analysis workflows that:
4	1. Scan multiple sources for investment opportunities
5	2. Run on a schedule (via cron jobs)
6	3. Save formatted results to Obsidian vault
7	4. Can be monitored and tracked
8
9	## When to Use
10	- When you want to create custom stock/scanning analysis
11	- When you need analysis to run automatically on a schedule
12	- When you want results saved to your Obsidian vault for review
13	- When you need to track multiple financial data sources
14	- When you want to combine web crawling with sentiment analysis
15
16	## Core Components
17
18	### 1. Analysis Skill Creation
19	Create a custom skill that includes:
20	- Data Sources: Define where to get information (websites, APIs, social media)
21	- Analysis Logic: Define what to look for (volume spikes, sentiment, patterns)
22	- Output Format: Define how results should be presented
23	- Error Handling: Define what to do when sources fail
24
25	### 2. Automation Setup
26	Set up scheduled execution using:
27	- Cron Jobs: Schedule the skill to run at specific times
28	- Skill Chaining: Combine multiple skills (e.g., analysis + note saving)
29	- Time Filtering: Ensure only recent data is analyzed
30	- Source Validation: Validate data quality and freshness
31
32	### 3. Result Storage
33	Configure automatic saving to:
34	- Obsidian Vault: Save results as formatted notes
35	- Proper Frontmatter: Include metadata for filtering and linking
36	- Consistent Naming: Use date-based filenames for easy sorting
37	- Tagging System: Add relevant tags for discovery
38
39	## Workflow Steps
40
41	### Step 1: Define Analysis Requirements
42	- What financial instruments to analyze (stocks, crypto, etc.)
43	- What data sources to use (financial sites, social media, news)
44	- What specific metrics or patterns to look for
45	- What time sensitivity is required (real-time, daily, weekly)
46
47	### Step 2: Create the Analysis Skill
48	Create a custom Hermes skill that:
49	- Uses appropriate data extraction methods (firecrawl, web_search, etc.)
50	- Applies your analysis logic and filters
51	- Formats output in a consistent, readable way
52	- Includes risk disclaimers and limitations
53
54	### Step 3: Set Up Automation
55	Configure a cron job that:
56	- Runs your analysis skill on the desired schedule
57	- Chains with appropriate output skills (obi-notes, etc.)
58	- Includes proper error handling and logging
59	- Runs during appropriate market hours
60
61	### Step 4: Configure Output Storage
62	Set up the result saving to:
63	- Create appropriate folder structure in Obsidian
64	- Generate properly formatted markdown with frontmatter
65	- Include metadata about the analysis (time, sources, etc.)
66	- Add relevant tags for easy discovery and filtering
67
68	### Step 5: Monitor and Maintain
69	- Check that the cron job runs successfully
70	- Verify output is correctly formatted and saved
71	- Update analysis logic as market conditions change
72	- Refresh API keys and credentials as needed
73
74	## Example: Market Alpha Scout
75	The market_alpha_scout skill demonstrates this workflow:
76	- Analysis Skill: market_alpha_scout (research category)
77	- Data Sources:
78	- Stockbro.id (firecrawl crawl with Google Workspace auth)
79	- Financial news sites (Google search: detik, kontan, bisnis)
80	- Social sentiment (Google search: X/Twitter content like @happenfed)
81	- Schedule: Weekdays at 08:15 WIB (before market open)
82	- Output: Saved to Notes/Stockpick/Stockpick - [Tanggal].md
83	- Features:
84	- Volume filtering (V > V_avg20)
85	- Time sensitivity (last 12 hours)
86	- Multi-source validation
87	- High conviction setup identification
88	- Sector diversification
89
90	## Integration Notes
91	This approach integrates multiple Hermes skills:
92	- crawl4ai (primary): Self-hosted web scraping via Crawl4AI (free, unlimited)
93	- firecrawl (fallback): For web crawling when Crawl4AI unavailable
94	- web_search: DuckDuckGo search via Crawl4AI wrapper
95	- obi-notes: For saving results to Obsidian vault
96	- cronjob: For scheduling automated execution
97	- skill-documentation: For maintaining skill documentation
98
99	## Prerequisites
100	- Crawl4AI: installed in Hermes venv (`pip install crawl4ai` + `playwright install chromium`)
101	- Python 3.11 (Hermes venv): `~/.hermes/hermes-agent/venv/bin/python3.11`
102	- Firecrawl (optional fallback): API key for when Crawl4AI fails
103	- Access to financial data sources
104	- Obsidian vault configured for saving analysis results
105
106	## Customization Options
107	This workflow can be adapted for:
108	- Different financial instruments (crypto, forex, commodities)
109	- Different analysis techniques (technical, fundamental, sentiment)
110	- Different schedules (intraday, daily, weekly, monthly)
111	- Different output formats (alerts, reports, watchlists)
112	- Diffe

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financial_analysis_automation

72stars5forks

View on GitHub

How to install financial_analysis_automation?

adityahimaone/hermes-agent-rtk-caveman/financial_analysis_automation

$npx -y skills add adityahimaone/hermes-agent-rtk-caveman --skill financial_analysis_automation

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Financial Analysis Automation Skill
2
3	Use this skill to create automated financial analysis workflows that:
4	1. Scan multiple sources for investment opportunities
5	2. Run on a schedule (via cron jobs)
6	3. Save formatted results to Obsidian vault
7	4. Can be monitored and tracked
8
9	## When to Use
10	- When you want to create custom stock/scanning analysis
11	- When you need analysis to run automatically on a schedule
12	- When you want results saved to your Obsidian vault for review
13	- When you need to track multiple financial data sources
14	- When you want to combine web crawling with sentiment analysis
15
16	## Core Components
17
18	### 1. Analysis Skill Creation
19	Create a custom skill that includes:
20	- Data Sources: Define where to get information (websites, APIs, social media)
21	- Analysis Logic: Define what to look for (volume spikes, sentiment, patterns)
22	- Output Format: Define how results should be presented
23	- Error Handling: Define what to do when sources fail
24
25	### 2. Automation Setup
26	Set up scheduled execution using:
27	- Cron Jobs: Schedule the skill to run at specific times
28	- Skill Chaining: Combine multiple skills (e.g., analysis + note saving)
29	- Time Filtering: Ensure only recent data is analyzed
30	- Source Validation: Validate data quality and freshness
31
32	### 3. Result Storage
33	Configure automatic saving to:
34	- Obsidian Vault: Save results as formatted notes
35	- Proper Frontmatter: Include metadata for filtering and linking
36	- Consistent Naming: Use date-based filenames for easy sorting
37	- Tagging System: Add relevant tags for discovery
38
39	## Workflow Steps
40
41	### Step 1: Define Analysis Requirements
42	- What financial instruments to analyze (stocks, crypto, etc.)
43	- What data sources to use (financial sites, social media, news)
44	- What specific metrics or patterns to look for
45	- What time sensitivity is required (real-time, daily, weekly)
46
47	### Step 2: Create the Analysis Skill
48	Create a custom Hermes skill that:
49	- Uses appropriate data extraction methods (firecrawl, web_search, etc.)
50	- Applies your analysis logic and filters
51	- Formats output in a consistent, readable way
52	- Includes risk disclaimers and limitations
53
54	### Step 3: Set Up Automation
55	Configure a cron job that:
56	- Runs your analysis skill on the desired schedule
57	- Chains with appropriate output skills (obi-notes, etc.)
58	- Includes proper error handling and logging
59	- Runs during appropriate market hours
60
61	### Step 4: Configure Output Storage
62	Set up the result saving to:
63	- Create appropriate folder structure in Obsidian
64	- Generate properly formatted markdown with frontmatter
65	- Include metadata about the analysis (time, sources, etc.)
66	- Add relevant tags for easy discovery and filtering
67
68	### Step 5: Monitor and Maintain
69	- Check that the cron job runs successfully
70	- Verify output is correctly formatted and saved
71	- Update analysis logic as market conditions change
72	- Refresh API keys and credentials as needed
73
74	## Example: Market Alpha Scout
75	The market_alpha_scout skill demonstrates this workflow:
76	- Analysis Skill: market_alpha_scout (research category)
77	- Data Sources:
78	- Stockbro.id (firecrawl crawl with Google Workspace auth)
79	- Financial news sites (Google search: detik, kontan, bisnis)
80	- Social sentiment (Google search: X/Twitter content like @happenfed)
81	- Schedule: Weekdays at 08:15 WIB (before market open)
82	- Output: Saved to Notes/Stockpick/Stockpick - [Tanggal].md
83	- Features:
84	- Volume filtering (V > V_avg20)
85	- Time sensitivity (last 12 hours)
86	- Multi-source validation
87	- High conviction setup identification
88	- Sector diversification
89
90	## Integration Notes
91	This approach integrates multiple Hermes skills:
92	- crawl4ai (primary): Self-hosted web scraping via Crawl4AI (free, unlimited)
93	- firecrawl (fallback): For web crawling when Crawl4AI unavailable
94	- web_search: DuckDuckGo search via Crawl4AI wrapper
95	- obi-notes: For saving results to Obsidian vault
96	- cronjob: For scheduling automated execution
97	- skill-documentation: For maintaining skill documentation
98
99	## Prerequisites
100	- Crawl4AI: installed in Hermes venv (`pip install crawl4ai` + `playwright install chromium`)
101	- Python 3.11 (Hermes venv): `~/.hermes/hermes-agent/venv/bin/python3.11`
102	- Firecrawl (optional fallback): API key for when Crawl4AI fails
103	- Access to financial data sources
104	- Obsidian vault configured for saving analysis results
105
106	## Customization Options
107	This workflow can be adapted for:
108	- Different financial instruments (crypto, forex, commodities)
109	- Different analysis techniques (technical, fundamental, sentiment)
110	- Different schedules (intraday, daily, weekly, monthly)
111	- Different output formats (alerts, reports, watchlists)
112	- Diffe

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