tag:christianmacion26.github.io,2026:feed:solutionsChristian T. Macion — SolutionsClient engagements and shipped deliverables. Newest first.2026-07-09T18:12:54.545ZChristian T. Macionchristianmacion26@gmail.comhttps://christianmacion26.github.io/tag:christianmacion26.github.io,2026:solution:11-agent-eval-platform11-Agent Eval-First Research Platform2026-07-09T18:12:54.545ZA small systematic-trading desk needed an AI workflow that could keep pace with the research pipeline
*without* shipping hallucinated or unverifiable analysis. The naive path — a single agent with one
prompt — produced plausible but unfalsifiable outputs. The desk needed something closer to a research
organization than a chatbot.
tag:christianmacion26.github.io,2026:solution:7-agent-venture-pipeline7-Agent Venture Incubation Pipeline2026-07-09T18:12:54.545ZAn operator-led venture incubation arm needed a repeatable way to triage, brief, and ledger new
business ideas — without one human bottleneck, and without the agent that proposes a decision
being the same one that approves it.
tag:christianmacion26.github.io,2026:solution:8-agent-editorial-pipeline8-Agent Editorial Production Pipeline (SLOP ↓ 96%)2026-07-09T18:12:54.545ZA high-volume editorial workflow was generating content with a measurable "slop index" — generic,
templated, easily-detected text. Quality gate was after-the-fact and manual. Production scaled
faster than the editorial team could review.
tag:christianmacion26.github.io,2026:solution:9-project-quant-library9-Project Public-Data Quant Research Library2026-07-09T18:12:54.545ZMost online quant research demos are not reproducible: closed datasets, undisclosed parameters,
un-reported multiple-testing bias, and no OOS discipline. A hiring-grade research portfolio
needs every one of those addressed explicitly.
tag:christianmacion26.github.io,2026:solution:crypto-stat-arb-fundingCrypto Statistical-Arbitrage Pipeline with Funding-Carry2026-07-09T18:12:54.545ZCrypto perps run funding payments every 8h. A naive long-short book ignores funding carry and
bleeds slowly when the spread is inverted. A working stat-arb needs the funding cost added back
to P&L *before* sizing.
tag:christianmacion26.github.io,2026:solution:cta-curriculum-publicPublic Finance Curriculum (CTA-Track, Self-Directed)2026-07-09T18:12:54.545ZThe Philippines has limited access to rigorous CTA-grade technical analysis training. Most
curriculum is either imported (US/UK, expensive) or shallow (TA-by-rote). There's a gap for
affordable, rigorous, evidence-based technical analysis education.
tag:christianmacion26.github.io,2026:solution:deflated-sharpe-gateDeflated Sharpe Ratio as a Built-in Pipeline Gate2026-07-09T18:12:54.545ZNaive Sharpe ratios ignore the search effort — if you try 100 variants of an idea, the
best-looking one will overstate the true edge. The desk needed this multiple-testing
correction built into the validation pipeline, not stapled on at the end.
tag:christianmacion26.github.io,2026:solution:eval-mcp-serverEval MCP Server — 31 Gates as First-Class Tools2026-07-09T18:12:54.545ZLLM eval harnesses live in code or in spreadsheets — neither is a clean integration target for
multi-agent pipelines. A multi-agent system needs the eval gates exposed as **tools**, not as
Python imports.
tag:christianmacion26.github.io,2026:solution:lookahead-bias-auditLook-Ahead-Bias Audit Suite2026-07-09T18:12:54.545ZLook-ahead bias is silent: a backtest that uses future data looks great until you deploy it.
A serious research portfolio needs an **explicit audit suite** — a checklist of failure modes
with mechanical tests.
tag:christianmacion26.github.io,2026:solution:txn-cost-aware-backtestTransaction-Cost-Aware Backtest Engine2026-07-09T18:12:54.545ZBacktests that ignore transaction costs, slippage, and latency are the most common source of
overfit research. A backtest engine needs all three treated as first-class inputs, not as
after-the-fact deductions.