Data API

A read-only JSON feed of the trading engine's closed trades, open positions, and performance history.

Static JSON · no key required · regenerated after each session (weekdays ~17:15 ET) · last session 2026-09-25

⚠ Highly experimental — read before using

This is a highly experimental trading engine with a very short live track record. Its results are not statistically meaningful and the strategy may lose money. If you mirror these trades, using a paper (simulated) account only is strongly recommended to minimise risk.

I am not a credible or licensed financial source, and nothing here is financial advice. Independent market research is necessary before acting on any of this data. You are solely responsible for your own trading decisions and any losses that result.

Every trade published in this feed was executed in a paper account. No real capital has been deployed by the engine.

Acknowledge before continuing

The endpoint documentation is hidden until you confirm you have read the warnings above.

I understand this is an experimental system, that the author is not a licensed financial source, that this is not financial advice, and that I am responsible for doing my own research and for any losses I incur. I intend to use this data with a paper account.

Endpoints

All responses are JSON over HTTPS. Every payload embeds the same disclaimer object so the warning travels with the data.

Service index

GET https://spunukollu.com/api/index.json

Performance history — equity curve vs SPY and QQQ

GET https://spunukollu.com/api/performance.json

Closed trades — 0 recorded

GET https://spunukollu.com/api/trades.json

Open positions — 3 currently held

GET https://spunukollu.com/api/positions.json

Regime classifications — which market condition the classifier reached

GET https://spunukollu.com/api/conditions.json

Live vs expectations — measured against backtest numbers committed before go-live

GET https://spunukollu.com/api/expectations.json

Overlay events — price-shock (C4) and macro-headwind (C5) firings

GET https://spunukollu.com/api/overlays.json

Scanner universe — what was ranked each session, and how it narrowed

GET https://spunukollu.com/api/universe.json

Atom feed — completed trades, for a feed reader

GET https://spunukollu.com/api/feed.xml

Schema and compatibility

Every payload carries a schema_version and validates against a published JSON Schema (draft 2020-12).

GET https://spunukollu.com/api/schema.json

Versioning. Current version is 1.0. A MINOR bump adds fields; a MAJOR bump may remove or retype them — so ignore unknown keys rather than failing on them. Conventions. Dates are ISO 8601. Percentages are already scaled (3.14 means 3.14%). Prices are USD. null means not-yet-computable — for example a profit factor with no losing trade — never zero. Caching. Responses carry an ETag; send If-None-Match and expect 304. The data changes once per trading day, so polling faster returns identical bytes.

Mirroring trades

A minimal poller. Run it against a paper broker account.

import requests

BASE = "https://spunukollu.com/api"

positions = requests.get(f"{BASE}/positions.json", timeout=15).json()
print("as of", positions["as_of"], "-", positions["count"], "open")

for p in positions["positions"]:
    print(f"{p['side']:5} {p['symbol']:6} "
          f"entry={p['entry_price']:.2f} "
          f"stop={p['atr_stop']:.2f} "
          f"unreal={p['unrealized_pct']:+.2f}%")

    # Mirror into YOUR OWN paper account here, sized to YOUR capital.
    # Never copy the engine's share quantities directly.

Timing. Positions are published after the session closes, so a mirrored fill will differ from the engine's. Treat atr_stop as a catastrophic backstop, not a target. Sizing. Quantities reflect a small paper account — size to your own capital and risk tolerance, never by copying quantity.

Terms of use

Data is provided as-is, with no warranty of accuracy, completeness, or availability, and may change or disappear without notice. Please keep polling to a few requests per hour — the feed only changes once per trading day. No liability is accepted for any loss arising from use of this data. Not financial advice.