PROTECTED SOURCE SCRIPT
OrbitPips - Hour-of-Week Bias Heatmap v2.1

OrbitPips — Hour-of-Week Bias Heatmap v2.1
Hourly return-bias analytics for any symbol, optimised for Mon–Fri markets (weekend toggle available).
A compact 5 × 24 heat-map shows average log-return per hour, t-score significance (★ / ★★), and a day-summary column so you can spot which weekdays and hours statistically favour bullish or bearish moves.
Key Features
• Bias colour-map — neon turquoise ⇒ positive, orange-red ⇒ negative
• Significance stars — ★ if |t| ≥ threshold, ★★ if |t| ≥ 1.5 × threshold
• Day aggregate column — one-look view of each weekday’s net bias
• Coverage % — data-quality gauge vs theoretical max bars
• Weekends toggle — expand to 7 × 24 grid for crypto / 24-7 markets
• Brand palette + large font default — clean cyber-noir theme out of the box
User Inputs (most common)
How to Read
1. Brighter turquoise → statistically higher average return for that hour.
2. Brighter orange-red → statistically negative return.
3. ★ / ★★ mark cells where the bias is statistically significant.
4. Right-most column aggregates the whole day; compare Monday vs Friday.
5. Check Coverage % in the Analytics panel—low coverage means you should shorten the look-back or relax minSamples.
Changelog (v2.1)
– Adjustable t-score threshold + double-star
– Added per-weekday summary column
– Analytics shows Data Coverage %
– Brand colour palette & larger default font
Disclaimer
This script is for informational and educational purposes only and does not provide trade signals. Past statistical bias does not guarantee future performance. Use at your own risk.
Made with ❤️ by OrbitPips — orbitpips.com
Hourly return-bias analytics for any symbol, optimised for Mon–Fri markets (weekend toggle available).
A compact 5 × 24 heat-map shows average log-return per hour, t-score significance (★ / ★★), and a day-summary column so you can spot which weekdays and hours statistically favour bullish or bearish moves.
Key Features
• Bias colour-map — neon turquoise ⇒ positive, orange-red ⇒ negative
• Significance stars — ★ if |t| ≥ threshold, ★★ if |t| ≥ 1.5 × threshold
• Day aggregate column — one-look view of each weekday’s net bias
• Coverage % — data-quality gauge vs theoretical max bars
• Weekends toggle — expand to 7 × 24 grid for crypto / 24-7 markets
• Brand palette + large font default — clean cyber-noir theme out of the box
User Inputs (most common)
- weeks – 104 (look-back window)
- minSamples – 5 (grey-out thin data)
- tThreshold – 2.0 (star cutoff)
- showWeekends – false (include Sat–Sun rows)
- fontScale – Large (UI text size)
How to Read
1. Brighter turquoise → statistically higher average return for that hour.
2. Brighter orange-red → statistically negative return.
3. ★ / ★★ mark cells where the bias is statistically significant.
4. Right-most column aggregates the whole day; compare Monday vs Friday.
5. Check Coverage % in the Analytics panel—low coverage means you should shorten the look-back or relax minSamples.
Changelog (v2.1)
– Adjustable t-score threshold + double-star
– Added per-weekday summary column
– Analytics shows Data Coverage %
– Brand colour palette & larger default font
Disclaimer
This script is for informational and educational purposes only and does not provide trade signals. Past statistical bias does not guarantee future performance. Use at your own risk.
Made with ❤️ by OrbitPips — orbitpips.com
受保護腳本
此腳本以閉源形式發佈。 不過,您可以自由且不受任何限制地使用它 — 在此處了解更多資訊。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。
受保護腳本
此腳本以閉源形式發佈。 不過,您可以自由且不受任何限制地使用它 — 在此處了解更多資訊。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。