Swap market utilization (range) for market reward rate (range) - #13
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added 4 commits
March 19, 2026 21:19
- MARKET_ORDER_UTIL: changed from list of scenarios to fixed scalar (0.5) - MARKET_REWARD_USD_PER_MHZ: changed from fixed value to list of scenarios - Updated computation loop, pivot tables, and graphs to iterate over reward rates - Updated dashboard sliders: replaced utilization slider with reward rate slider - Updated AGENTS.md to reflect the new parameter roles
Documents the full build pipeline: install deps, run notebook, build JupyterLite + Panel dashboard, and serve locally. Extracted from the GitHub Actions workflow.
This reverts commit 408961a.
- Trigger workflow on pull_request events (in addition to push/main) - Pass --branch flag to wrangler to create preview deployments - Post/update preview URL as a PR comment (avoids duplicate comments) - Scope concurrency group per branch to allow parallel PR previews
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🚀 Preview deployment ready! URL: https://swap-market-util-for-reward.zerokrab-boundless-jupyter.pages.dev |
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Summary
Swaps the modeling dimensions so that market order utilization is a fixed scalar and market reward rate (USD/MHz) is the range of scenarios.
Changes
Notebook (
boundless_profitability.ipynb):MARKET_ORDER_UTIL: changed from[0.25, 0.5, 0.75, 1.0]→0.5(fixed)MARKET_REWARD_USD_PER_MHZ: changed from0.00007→[0.00003, 0.00005, 0.00007, 0.0001](range)market_reward_usd_per_mhzinstead ofmarket_order_utilDashboard (
dashboard.py):AGENTS.md: