Improvements Bounty: Performance Enhancer

[Dragoon4002]

Overview

Reward pool: 50 USDC distributed among contributors who submit performance improvements. (It is an Issue tester for another project, but current issuer will be rewarded once the assesment is made correctly)

What qualifies

• Profiling results identifying bottlenecks
• Code optimizations (rendering, API, DB queries, bundle size)
• Caching strategies with measurable impact
• Benchmark comparisons (before/after)

How to submit

Open a PR referencing this issue. Include what you changed and why it's faster.

Reward distribution

Top contributions share the pool based on impact:

• Best overall: 20 USDC
• Runner-up: 10 USDC
• 3rd place: 5 USDC
• Honorable mentions (up to 15): 1 USDC each

Judging

Repo maintainer reviews all PRs, ranks by measurable improvement, distributes accordingly.

[taherdhanera]

Submitted PR #4 for this performance bounty: #4

Scope: optimize the agents dashboard render path by grouping trades by agent_id once per trades update, then passing each agent card a precomputed trade list instead of filtering the full trades array inside every agents.map(...) render.

Why it is faster: changes repeated agents * trades scans plus new per-card arrays into a single O(trades) grouping pass and constant-time lookups per agent, reducing chart rebuild pressure as the dashboard grows.

Validation: git diff --check; syntax-oriented TypeScript parse reached missing-dependency errors because the checkout has no node_modules, but did not report syntax errors in the changed block. Vercel currently reports a repository authorization failure, matching the existing PR status pattern rather than a code-specific failure.

[Godel-Smith]

Submitted PR #5 for this performance bounty: #5

Scope: optimize stochastic_signal by computing only the trailing %K windows needed for %D, instead of scanning k_period windows and discarding all but the last d_period values.

Benchmark evidence from a synthetic 1000-candle input, best of 5 repeats:

• k_period=14, d_period=3: 3.39x faster, old 0.508540s vs new 0.150167s for 10,000 calls.
• k_period=120, d_period=3: 29.42x faster, old 4.531116s vs new 0.154038s for 2,000 calls.
• Output equality checks passed for both benchmark cases.

Validation:

• [local path redacted] -> 2 passed
• git diff --cached --check passed

If selected for payout: USDC on Base to [REDACTED - provide privately after acceptance].

[taherdhanera]

Additional benchmark evidence for PR #4: #4

I measured the old render-path pattern (agents.map + trades.filter(...) per agent) against the new one-pass tradesByAgent grouping approach with checksum equality on synthetic dashboard-sized data:

• 50 agents / 10,000 trades / 100 render passes: old 1224.226ms vs new 66.403ms, 18.44x faster
• 100 agents / 25,000 trades / 50 render passes: old 1702.786ms vs new 63.644ms, 26.75x faster
• 200 agents / 50,000 trades / 20 render passes: old 1942.593ms vs new 55.688ms, 34.88x faster

This complements the backend indicator optimization in PR #5 by covering the frontend agents dashboard bottleneck: repeated full-trade scans and per-card array allocation during render. Vercel is still only blocked by repo-owner authorization, same as the other bounty PRs.

[xxCodexIAxx]

Submitted PR: #6

I resolved this bounty issue in the linked pull request.

Payout wallet on Base: 0x776CbBb63D81c08B4090DB503eAE7FDb8fBd7c6f

[taherdhanera]

Visibility refresh after newer PR #6 activity.

My active earlier submission remains PR #4: #4

Current contributor-side status rechecked now:

• PR Optimize agent dashboard trade grouping #4 is open and non-draft.
• GitHub reports it mergeable; the only visible failing status is the repo-owner Vercel authorization gate, which is also present on newer PR Optimize log buffer slicing for live logs #6.
• Scope is the agents dashboard render-path bottleneck: replacing repeated agents.map(...) + full trades.filter(...) scans with one memoized tradesByAgent grouping pass and constant-time lookups per agent.
• Benchmark evidence already posted shows 18.44x, 26.75x, and 34.88x speedups on dashboard-sized synthetic data with checksum equality.

PR #6 appears to optimize a separate live log buffer slicing path. That is adjacent performance work, but it does not replace PR #4's frontend agents dashboard optimization or the earlier benchmark evidence.