Add comprehensive AI prompt examples documentation #11
+700
−0
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Created AI_PROMPT_EXAMPLES.md documenting 5 key AI prompts from the codebase: - Trading decision prompt (format-first decision making) - Strategy idea generator (few-shot constrained generation) - Video intro generator (aggressive constraint enforcement) - RBI strategy analyzer (structured extraction with quality control) - Compliance analyzer (structured data extraction via JSON) Includes detailed analysis of each prompt covering: - Strengths and design patterns - Effectiveness ratings - Potential improvements - Real-world usage notes Documents 7 key patterns observed across all prompts: 1. Format-first architecture 2. Negative constraints to override LLM defaults 3. Parseable markers for reliable code integration 4. Few-shot examples over lengthy explanations 5. Role-based framing for consistency 6. Constraint layering for robustness 7. JSON for structured data extraction Provides actionable recommendations and templates for: - Trading agents (high-stakes decisions) - Content generation agents - Data extraction agents - Research/analysis agents 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
|
@claude is attempting to deploy a commit to the md777 Team on Vercel. A member of the Team first needs to authorize it. |
|
sorry bro, it committed to your repo and not my fork |
icojerrel
pushed a commit
to icojerrel/moon-dev-ai-agents
that referenced
this pull request
Oct 31, 2025
Removed 15 duplicate configurations: - 26 winners → 11 unique strategies - 77 strategy files → 12 unique files - All duplicates safely backed up to duplicates_backup/ Largest duplicate group removed: - 5x EMA 20/100 RSI>68 had 14 identical copies Final 11 unique strategies (sorted by return): 🥇 #1: 66.38% - 5x EMA 20/100 RSI>70 Vol2x 🥈 #2: 66.38% - 5x EMA 20/100 RSI>68 Vol2x 🥉 moondevonyt#3: 65.82% - 5x EMA 20/100 RSI>68 Vol2x ... through moondevonyt#11: 61.69% All unique winners share optimal parameters: - 5x leverage (no 3x, 4x, or 6x in top 11) - EMA (no SMA in top 11) - Fast MA: 15-25 (sweet spot: 20) - Slow MA: 75-100 (sweet spot: 100) - RSI: 65-70 (sweet spot: 68-70) - Volume: 2x confirmation Added: cleanup_duplicate_winners.py for future use Backups: src/data/rbi_auto/duplicates_backup/
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Created AI_PROMPT_EXAMPLES.md documenting 5 key AI prompts from the codebase:
Includes detailed analysis of each prompt covering:
Documents 7 key patterns observed across all prompts:
Provides actionable recommendations and templates for:
🤖 Generated with Claude Code