proof/ · show your work
A gallery of public, NDA-clean artifacts — recordings, charts, co-signed certificates — that back up the claims on/experience,/certifications, and/now. Five items today. Updated when something new ships; never deleted when something expires.
Recorded presentations
The same Manobo / ICC / IPs lecture for USeP EGE 313, delivered in September 2024 — first as a ChatGPT-assisted draft (the AI-engineering workflow), then as a live Presenter-view delivery. Both recordings are public; the PowerPoint file metadata in the Edit-mode frame proves provenance.
Code artifacts · 3 new
import.Three new repositories shipped with the v3.5 site. Each is MIT-licensed,offline-runnable, and dependency-light. Each one is a small, auditable artifact that demonstrates the eval-first methodology in code rather than prose.
IP-clean backtest tools over the Model Context Protocol. Three tools, four textbook strategies, zero market data.
$ uv run server.py
# FastMCP server listening on stdio
{"tools":["get_ohlcv","run_backtest","compute_metrics"]}
smoke · 262 bars returned
sma_cross sharpe=0.471 cagr=0.079 max_dd=-0.21
buy_and_hold sharpe=-0.490
PASS · deterministic from symbol seed
Citation-grounded retrieval harness over a curated corpus of 16 canonical q-fin papers. Pure-Python TF-IDF cosine, no LLM call.
$ python -m qfin_rag "How do I correct factor significance for data mining?"
# Citations for: How do I correct ...
## Harvey (2016) — And the Cross-Section ...
*Review of Financial Studies, 2016* (relevance: 0.173)
query → 16-paper curated corpus
top-3 by TF-IDF cosine
citation-grounded prompt template
NO network calls
Verify LLM numerical claims against deterministic fixtures. Catches the most common LLM failure mode — wrong numbers — in <1 second.
$ python -m eval_harness
[FAIL] btc_2024_sma_cross_20_50 / sharpe: claimed=5.0,
truth=0.4707, diff=4.5293 > tol 0.05
=== summary ===
5/10 passed (50.0%)
fixtures computed deterministically from seeded backtest
tolerances per metric (Sharpe atol=0.05, CAGR=0.02)
per-claim reason + diff vs tolerance
exit code = number of failed claims
Operator-discretion chart
The systematic book on /positions runs vol-target time-series momentum on BTC/USDT. This is the discretionary side of the same operator: Elliott Wave on tokenized gold, under a public TradingView handle.
Flagship certificates
The strongest single signature: a workshop co-signed by an Ateneo de Davao University Director and a US Embassy American Spaces Specialist. Same credential is featured on/certifications.
What's not here: photos of the 19V Capital office. Screenshots of proprietary strategy outputs. Calendar entries with client names. The 19V Capital role is a closed past contract (03/2026 – 06/2026), and everything on this page is public-data or self-owned. If the proof you need isn't on this page, email me — if it's public, I'll send it within 24 hours.
Email me with the proof you need. If it's public, NDA-clean, and I have it on disk, I'll send it within 24 hours.