Time-Sensitive Research

Intraday Discovery

Pre-market, 1-hour timeframe trading plans delivered via email and API. Built from trend/momentum, cycles & seasonality, pattern analytics (Elliott, candlesticks, divergences), and a multi-model risk stack — with clear entries, exits, targets, and invalidation, plus explainable rationale.

  • 1H focusTime-sensitive plans and bias shifts
  • Pre-marketDelivered before the U.S. cash open
  • Email · APIHuman-readable + machine-readable
  • WatchlistsCustom universes (your symbols)

Research outputs only (signals, scenarios, summaries). Not investment advice. Forward-looking models may differ from actual outcomes. No personal data is processed.

Outputs

Session-ready intraday plans

Designed for real workflows: pre-open review, intraday monitoring, and end-of-day “what changed” context — with consistent structure per symbol.

Pre-Market Plan

Concise entries/exits, targets, invalidation per symbol, plus a quick rationale for the session.

Intraday Signals

1H trend/momentum + pattern confirmations with confidence weighting.

Risk Context

Levels and bands as context for sizing and discipline (not automated execution).

Explainable Drivers

Per-model contribution summaries (trend, seasonality, structure, divergences).

Exports

Email summaries, JSON outputs, and report-friendly formatting.

Watchlists

Run plans across your universes (indices, ETFs, holdings, sectors).

Process

How it’s generated pre-open

Intraday Discovery is built as a repeatable pipeline: ingest → score → fuse → deliver. The output is structured so you can act quickly and review consistently.

Daily flow (pre-open)

  1. Ingest: price/volume features, cycles/seasonality windows, patterns, risk stats.
  2. Score: models emit votes with confidence & strength (versioned).
  3. Fuse: ensemble blends cross-TF agreement with guardrails.
  4. Deliver: plan via email and API for your watchlists.

Preferences

  • Watchlists & universes (e.g., SPY/QQQ/IWM, sectors, holdings)
  • Delivery window + timezone for pre-open emails
  • Format preference (email-style vs JSON)
Samples

What the outputs look like

Email for humans. JSON for systems. Same structure per symbol.

Sample email (abbrev.)

Subject: Intraday Plan — 1H (Pre-Market)

SPY — Bias: Bullish (conf 0.68)
• Entry: 551.4 (limit), 553.2 (on break)
• Targets: 555.0 → 557.2
• Invalidation: 548.9 (close 1H)
• Drivers: Trend ✓, Seasonality +, RSI div +, Risk context − (near upper band)

QQQ — Bias: Neutral→Bullish (conf 0.61)
• Entry: 474.6 (on break w/ momentum)
• Target: 478.0; Invalidation: 471.8
• Drivers: Momentum, EW alternation +, candle continuation

…(your watchlist)…

Sample JSON (1H plan)

{
  "symbol":"SPY","tf":"1H","asof":"2025-08-15T12:30Z",
  "summary":{"direction":"bullish","confidence":0.68,"strength":0.59},
  "drivers":[
    {"model":"Trend","vote":"+","weight":0.23,"evidence":"1H alignment"},
    {"model":"Seasonality","vote":"+","weight":0.12,"evidence":"pre-open bias+"},
    {"model":"RSI_Divergence","vote":"+","weight":0.08,"evidence":"div confirmed"},
    {"model":"RiskContext","vote":"-","weight":0.07,"evidence":"near upper band"}
  ],
  "plan":{
    "entry":[{"type":"limit","level":551.4},{"type":"on_break","level":553.2}],
    "targets":[555.0,557.2],
    "invalidation":548.9,
    "timebox_bars":4
  }
}
API

Fetch plans programmatically

Single symbol request (the canonical, pragmatic version).

Fetch a plan (symbol)

curl -s -H "X-API-Key: $HEDGTRADE_API_KEY" \
  "https://api.united-river.com/v1/intraday/plan/SPY?tf=1H" | jq
Tip: configure delivery in the platform, then use API for retrieval/automation downstream.

Delivery (email)

  • Pre-open digest per watchlist
  • Consistent plan structure per symbol
  • “What changed” summary (optional)
Get started

Run Intraday Discovery on your watchlist

We’ll preload your symbols and configure pre-open delivery via email and API.
Request a Demo See Pricing
DISCLAIMER
Hedgtrade provides market intelligence and analytical tools for informational purposes only. We do not execute trades or provide personalized investment advice. All users are responsible for their own trading decisions and must comply with applicable regulations in their jurisdiction.