Btc Short Term Alpha
C 63 completed
Ai Ml
unknown / python · tiny
20
Files
1,545
LOC
0
Frameworks
3
Languages
Pipeline State
completedRun ID
#368973Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
25.82Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47727
Member of a group with 1 similar repo(s) — canonical #18123 view group →
Top concepts (2)
Project DescriptionDocumentation
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
AI Prompt
Create a Python-based quantitative trading script for 15-minute BTC binary markets. I need it to implement a late-window entry strategy using geometric balance optimization. The system should process data through feature engineering (including 5 Moving Averages, slope, spread, compression, and distance), calculate a unified score using a 7-feature linear function, and apply several entry filters like time window and volatility gates. Finally, it must include position sizing based on a Kelly x score_excess multiplier before simulating the hold until resolution.
python quantitative_trading btc algorithmic_trading optimization finance time_series
Generated by gemma4:latest
Catalog Information
This project provides a late-window entry strategy for 15-minute BTC binary markets, using geometric balance optimization to identify optimal entry points.
Description
The btc-short-term-alpha project is an algorithmic trading strategy designed for 15-minute Bitcoin binary markets on Polymarket. It uses a novel geometric balance objective to optimize entry points and prevent degenerate solutions. The strategy has been validated on 544 walk-forward trades with a 72.4% win rate (71.3% holdout).
الوصف
هذا المشروع يقدم استراتيجية دخول متأخرة لأسواق البيتكوين الباينري على مدى 15 دقيقة، باستخدام هدف توازن هندسي لتحدد نقاط الدخول الأمثل.
Novelty
9/10Tags
binary-markets bitcoin-trading geometric-balance-optimization late-window-entry-strategy algorithmic-trading
Technologies
matplotlib numpy pandas scipy
Claude Models
claude-opus-4.6
Quality Score
C
63.4/100
Structure
52
Code Quality
85
Documentation
77
Testing
0
Practices
68
Security
100
Dependencies
60
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
Security & Health
4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (6)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
MIT
License
0.9%
Duplication
Languages
Frameworks
None detected
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility · MCP-ready · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Late-window entry strategy for 15-minute BTC binary markets with geometric balance optimization. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Documentation | docs | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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