research: sector residual, earnings gap/SUE, history-depth scaffolding

Tier-1 alpha research (local only, no production deploy):

Sector residual momentum: two-factor SPY+sector residual and sector demean signals, IC harness + A/B. Sector resid clears pre-registered bars narrowly (PROMOTE for human wire design only). Sector demean fails t vs market resid.

Earnings: earnings_events backfill (FMP bulk paid; FMP/AV per-symbol), 2a gap diagnostic report-only, 2b SUE IC (PARK; incomplete 48/506 coverage).

History-depth: pre-registered doc + runner for MacBook deep rebuild/harness.

Do not ship production residual or filters from this branch.
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"""Backfill historical earnings into a snapshot ``earnings_events`` table.
Prefers FMP bulk date-range ``earnings-calendar`` (one request per window).
On free-tier 402/403, falls back to per-symbol ``/stable/earnings`` with
resume support and request counting (≈250 req/day free tier).
Research only — writes to the local snapshot SQLite, never production Postgres.
Example
-------
python scripts/backfill_earnings_events.py \\
--snapshot backtest_snapshots/prod.sqlite --limit 250
"""
from __future__ import annotations
import argparse
import asyncio
import json
import sys
import time
from datetime import date, datetime, timedelta, timezone
from pathlib import Path
import httpx
from sqlalchemy import create_engine, text
ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
FMP_STABLE = "https://financialmodelingprep.com/stable"
DDL = """
CREATE TABLE IF NOT EXISTS earnings_events (
id INTEGER PRIMARY KEY,
symbol TEXT NOT NULL,
announce_date TEXT NOT NULL,
announce_time TEXT,
eps_estimate REAL,
eps_actual REAL,
revenue_estimate REAL,
revenue_actual REAL,
source TEXT NOT NULL,
fetched_at TEXT NOT NULL,
UNIQUE(symbol, announce_date)
)
"""
# Side table tracks which symbols have been fully pulled (resume).
META_DDL = """
CREATE TABLE IF NOT EXISTS earnings_backfill_meta (
symbol TEXT PRIMARY KEY,
status TEXT NOT NULL,
n_events INTEGER NOT NULL DEFAULT 0,
updated_at TEXT NOT NULL,
note TEXT
)
"""
def _parse_args() -> argparse.Namespace:
p = argparse.ArgumentParser(description=__doc__)
p.add_argument("--snapshot", default="backtest_snapshots/prod.sqlite")
p.add_argument(
"--from-date",
default="2020-01-01",
help="Bulk calendar window start (also filters per-symbol rows).",
)
p.add_argument(
"--to-date",
default=None,
help="Bulk calendar window end (default: today).",
)
p.add_argument(
"--limit",
type=int,
default=250,
help="Max FMP requests this run (free-tier cushion).",
)
p.add_argument("--sleep", type=float, default=0.35)
p.add_argument(
"--force-symbol",
action="store_true",
help="Skip bulk attempt; go straight to per-symbol.",
)
p.add_argument(
"--refetch-done",
action="store_true",
help="Re-fetch symbols already marked done.",
)
p.add_argument(
"--provider",
choices=("fmp", "alpha_vantage", "auto"),
default="auto",
help="Earnings provider. auto tries FMP bulk then FMP/AV per-symbol.",
)
return p.parse_args()
def _ensure_tables(engine) -> None:
with engine.begin() as conn:
conn.execute(text(DDL))
conn.execute(text(META_DDL))
def _upsert_events(conn, rows: list[dict], source: str) -> int:
if not rows:
return 0
now = datetime.now(timezone.utc).isoformat()
written = 0
for r in rows:
conn.execute(
text(
"""
INSERT INTO earnings_events (
symbol, announce_date, announce_time,
eps_estimate, eps_actual, revenue_estimate, revenue_actual,
source, fetched_at
) VALUES (
:symbol, :announce_date, :announce_time,
:eps_estimate, :eps_actual, :revenue_estimate, :revenue_actual,
:source, :fetched_at
)
ON CONFLICT(symbol, announce_date) DO UPDATE SET
announce_time=excluded.announce_time,
eps_estimate=excluded.eps_estimate,
eps_actual=excluded.eps_actual,
revenue_estimate=excluded.revenue_estimate,
revenue_actual=excluded.revenue_actual,
source=excluded.source,
fetched_at=excluded.fetched_at
"""
),
{
"symbol": r["symbol"],
"announce_date": r["announce_date"],
"announce_time": r.get("announce_time"),
"eps_estimate": r.get("eps_estimate"),
"eps_actual": r.get("eps_actual"),
"revenue_estimate": r.get("revenue_estimate"),
"revenue_actual": r.get("revenue_actual"),
"source": source,
"fetched_at": now,
},
)
written += 1
return written
def _parse_bulk_item(item: dict) -> dict | None:
sym = (item.get("symbol") or "").strip().upper()
d = item.get("date") or item.get("earningsDate")
if not sym or not d:
return None
return {
"symbol": sym.replace(".", "-"),
"announce_date": str(d)[:10],
"announce_time": item.get("time") or item.get("announceTime"),
"eps_estimate": _f(item.get("epsEstimated") or item.get("estimatedEarning")),
"eps_actual": _f(item.get("epsActual") or item.get("eps")),
"revenue_estimate": _f(item.get("revenueEstimated")),
"revenue_actual": _f(item.get("revenueActual")),
}
def _parse_symbol_item(item: dict, symbol: str) -> dict | None:
d = item.get("date")
if not d:
return None
return {
"symbol": symbol.replace(".", "-").upper(),
"announce_date": str(d)[:10],
"announce_time": item.get("time"),
"eps_estimate": _f(item.get("epsEstimated")),
"eps_actual": _f(item.get("epsActual")),
"revenue_estimate": _f(item.get("revenueEstimated")),
"revenue_actual": _f(item.get("revenueActual")),
}
def _f(v) -> float | None:
if v is None or v == "":
return None
try:
return float(v)
except (TypeError, ValueError):
return None
async def _try_bulk(
client: httpx.AsyncClient,
api_key: str,
start: date,
end: date,
*,
window_days: int = 30,
) -> tuple[list[dict], int, str | None]:
"""Return (rows, requests_used, error_note)."""
rows: list[dict] = []
reqs = 0
cur = start
while cur <= end:
win_end = min(end, cur + timedelta(days=window_days - 1))
resp = await client.get(
f"{FMP_STABLE}/earnings-calendar",
params={
"from": cur.isoformat(),
"to": win_end.isoformat(),
"apikey": api_key,
},
)
reqs += 1
if resp.status_code in (402, 403):
return [], reqs, f"bulk_unavailable status={resp.status_code}"
if resp.status_code == 429:
return rows, reqs, "rate_limited"
resp.raise_for_status()
data = resp.json()
if not isinstance(data, list):
return [], reqs, f"unexpected bulk payload type={type(data)}"
for item in data:
if isinstance(item, dict):
parsed = _parse_bulk_item(item)
if parsed:
rows.append(parsed)
cur = win_end + timedelta(days=1)
return rows, reqs, None
async def _fetch_symbol(
client: httpx.AsyncClient, api_key: str, symbol: str
) -> list[dict]:
resp = await client.get(
f"{FMP_STABLE}/earnings",
params={"symbol": symbol, "apikey": api_key},
)
if resp.status_code == 429:
raise RuntimeError("rate_limited")
if resp.status_code == 402:
return []
resp.raise_for_status()
data = resp.json()
if not isinstance(data, list):
return []
out: list[dict] = []
for item in data:
if isinstance(item, dict):
parsed = _parse_symbol_item(item, symbol)
if parsed:
out.append(parsed)
return out
async def _fetch_symbol_alpha_vantage(
client: httpx.AsyncClient, api_key: str, symbol: str
) -> list[dict]:
"""Alpha Vantage EARNINGS — includes reportedDate (announce) + estimate/actual."""
resp = await client.get(
"https://www.alphavantage.co/query",
params={"function": "EARNINGS", "symbol": symbol, "apikey": api_key},
)
if resp.status_code == 429:
raise RuntimeError("rate_limited")
resp.raise_for_status()
data = resp.json()
if not isinstance(data, dict):
return []
note = str(data.get("Note") or data.get("Information") or "")
if "rate limit" in note.lower() or "Thank you for using Alpha Vantage" in note:
raise RuntimeError("rate_limited")
if data.get("Error Message"):
return []
quarterly = data.get("quarterlyEarnings") or []
out: list[dict] = []
for item in quarterly:
if not isinstance(item, dict):
continue
# Prefer announce (reportedDate); fall back to fiscal end (worse PIT).
ad = item.get("reportedDate") or item.get("fiscalDateEnding")
if not ad:
continue
out.append({
"symbol": symbol.replace(".", "-").upper(),
"announce_date": str(ad)[:10],
"announce_time": item.get("reportTime"),
"eps_estimate": _f(item.get("estimatedEPS")),
"eps_actual": _f(item.get("reportedEPS")),
"revenue_estimate": None,
"revenue_actual": None,
})
return out
async def _main() -> None:
args = _parse_args()
snapshot = Path(args.snapshot)
if not snapshot.exists():
raise SystemExit(f"Snapshot not found: {snapshot}")
from app.config import settings
if not settings.fmp_api_key:
raise SystemExit("FMP_API_KEY required")
start = date.fromisoformat(args.from_date)
end = date.fromisoformat(args.to_date) if args.to_date else date.today()
engine = create_engine(
f"sqlite:///{snapshot.resolve().as_posix()}",
future=True,
)
_ensure_tables(engine)
with engine.connect() as conn:
symbols = [
str(r[0]).upper().replace(".", "-")
for r in conn.execute(text("SELECT symbol FROM tickers ORDER BY symbol"))
]
done = set()
if not args.refetch_done:
done = {
str(r[0])
for r in conn.execute(
text(
"SELECT symbol FROM earnings_backfill_meta "
"WHERE status='done' AND n_events > 0"
)
)
}
pending = [s for s in symbols if s not in done]
print(f"Snapshot: {snapshot}")
print(f"Universe: {len(symbols)}; pending: {len(pending)}; done: {len(done)}")
print(f"Window filter: {start}{end}")
print(f"Provider: {args.provider}")
req_budget = int(args.limit)
reqs_used = 0
events_written = 0
mode = "per_symbol"
use_av = args.provider in ("alpha_vantage", "auto") and bool(
getattr(settings, "alpha_vantage_api_key", "")
)
use_fmp = args.provider in ("fmp", "auto") and bool(settings.fmp_api_key)
async with httpx.AsyncClient(timeout=60.0) as client:
if (
not args.force_symbol
and req_budget > 0
and use_fmp
and args.provider != "alpha_vantage"
):
print("Attempting bulk earnings-calendar…")
bulk_rows, bulk_reqs, err = await _try_bulk(
client, settings.fmp_api_key, start, end
)
reqs_used += bulk_reqs
if err:
print(f" Bulk unavailable: {err} (requests={bulk_reqs})")
else:
# Filter to universe.
uni = set(symbols)
bulk_rows = [r for r in bulk_rows if r["symbol"] in uni]
with engine.begin() as conn:
events_written += _upsert_events(conn, bulk_rows, "fmp_earnings_calendar")
for sym in symbols:
n = conn.execute(
text(
"SELECT COUNT(*) FROM earnings_events WHERE symbol=:s"
),
{"s": sym},
).scalar_one()
conn.execute(
text(
"""
INSERT INTO earnings_backfill_meta(symbol, status, n_events, updated_at, note)
VALUES (:s, 'done', :n, :t, 'bulk')
ON CONFLICT(symbol) DO UPDATE SET
status='done', n_events=excluded.n_events,
updated_at=excluded.updated_at, note=excluded.note
"""
),
{
"s": sym,
"n": int(n),
"t": datetime.now(timezone.utc).isoformat(),
},
)
mode = "bulk"
print(f" Bulk wrote {events_written} events; requests={bulk_reqs}")
pending = []
# Per-symbol fallback / completion.
fmp_limited = False
for sym in pending:
if reqs_used >= req_budget:
print(f"Request budget exhausted ({req_budget}). Resume later.")
break
items: list[dict] = []
source = "fmp_earnings"
note = "per_symbol"
try:
if use_fmp and not fmp_limited and args.provider != "alpha_vantage":
items = await _fetch_symbol(client, settings.fmp_api_key, sym)
source = "fmp_earnings"
note = "fmp_per_symbol"
# Empty list may mean soft-limit or no data — try AV if available.
if not items and use_av:
items = await _fetch_symbol_alpha_vantage(
client, settings.alpha_vantage_api_key, sym
)
source = "alpha_vantage_earnings"
note = "av_after_fmp_empty"
reqs_used += 1 # count AV call separately below too
elif use_av:
items = await _fetch_symbol_alpha_vantage(
client, settings.alpha_vantage_api_key, sym
)
source = "alpha_vantage_earnings"
note = "av_per_symbol"
else:
raise RuntimeError("no provider available")
except Exception as exc:
msg = str(exc)
print(f" FAIL {sym}: {msg}")
reqs_used += 1
if "rate_limited" in msg and note.startswith("fmp"):
fmp_limited = True
with engine.begin() as conn:
conn.execute(
text(
"""
INSERT INTO earnings_backfill_meta(symbol, status, n_events, updated_at, note)
VALUES (:s, 'error', 0, :t, :n)
ON CONFLICT(symbol) DO UPDATE SET
status='error', updated_at=excluded.updated_at, note=excluded.note
"""
),
{
"s": sym,
"t": datetime.now(timezone.utc).isoformat(),
"n": msg[:200],
},
)
if args.sleep > 0:
await asyncio.sleep(args.sleep)
continue
reqs_used += 1
# Keep all rows with dates on/before end — SUE needs trailing history.
filtered = [
r for r in items if r["announce_date"] <= end.isoformat()
]
# Do NOT mark empty as done — leave pending for another provider/day.
status = "done" if filtered else "empty"
with engine.begin() as conn:
n_w = _upsert_events(conn, filtered, source) if filtered else 0
events_written += n_w
conn.execute(
text(
"""
INSERT INTO earnings_backfill_meta(symbol, status, n_events, updated_at, note)
VALUES (:s, :st, :n, :t, :note)
ON CONFLICT(symbol) DO UPDATE SET
status=excluded.status, n_events=excluded.n_events,
updated_at=excluded.updated_at, note=excluded.note
"""
),
{
"s": sym,
"st": status,
"n": len(filtered),
"t": datetime.now(timezone.utc).isoformat(),
"note": note,
},
)
if reqs_used % 10 == 0 or reqs_used == 1:
print(
f" progress reqs={reqs_used}/{req_budget} last={sym} "
f"events_batch={len(filtered)} src={source}"
)
# AV free tier is ~5/min or 25/day — be polite when using it.
sleep_s = float(args.sleep)
if source.startswith("alpha_vantage"):
sleep_s = max(sleep_s, 12.0)
if sleep_s > 0:
await asyncio.sleep(sleep_s)
with engine.connect() as conn:
total_events = int(
conn.execute(text("SELECT COUNT(*) FROM earnings_events")).scalar_one()
)
done_n = int(
conn.execute(
text("SELECT COUNT(*) FROM earnings_backfill_meta WHERE status='done'")
).scalar_one()
)
d_range = conn.execute(
text("SELECT MIN(announce_date), MAX(announce_date) FROM earnings_events")
).fetchone()
with_actual = int(
conn.execute(
text(
"SELECT COUNT(*) FROM earnings_events "
"WHERE eps_actual IS NOT NULL AND eps_estimate IS NOT NULL"
)
).scalar_one()
)
summary = {
"mode": mode,
"fmp_requests": reqs_used,
"events_written_this_run": events_written,
"total_events": total_events,
"symbols_done": done_n,
"symbols_universe": len(symbols),
"announce_date_range": {"min": d_range[0], "max": d_range[1]},
"events_with_actual_and_estimate": with_actual,
"budget": req_budget,
"complete": done_n >= len(symbols),
}
print(json.dumps(summary, indent=2))
out = Path("reports") / "earnings-backfill-status.json"
out.parent.mkdir(parents=True, exist_ok=True)
out.write_text(json.dumps(summary, indent=2) + "\n", encoding="utf-8")
print(f"Wrote {out}")
if __name__ == "__main__":
asyncio.run(_main())