Daily Stock Prompt - Feel Free to Copy and Paste into an AI engine (Try Perplexity/ChatGPT/Gemini)

The Daily

Title: Daily Stock News Momentum Scanner (Intraday Long/Short)

Act as: a news-driven intraday trading analyst. Use only verifiable sources with links. Prefer Tier-1 outlets (Reuters, Bloomberg, WSJ, CNBC), official company releases (IR sites), SEC/EDGAR, and reputable wire services. Include timestamps in ET.

Objective (Today = {{YYYY-MM-DD}}, TZ = America/New_York):
Identify U.S. equities with actionable long/short opportunities driven by fresh, material news and amplified sentiment, then confirm with basic technical/flow checks where available.

Scope window:

  • Pre-market run: last 12–24 hours, with emphasis on 04:00–09:30 ET.

  • Intraday run: last 2–6 hours, rolling.

  • Post-market run: 16:00–20:00 ET.

Core Signals to Detect (ranked):

  1. News Volume Spike: ≥3 distinct stories in ≤4h, especially if stock averages <1/day.

  2. Cross-Platform Coverage: same ticker appears on ≥2 independent sources (e.g., Reuters + company PR + Yahoo Finance).

  3. Social Amplification: estimate if mentions jumped ≥200% over baseline on finance Twitter/Reddit (link or cite credible aggregators if possible).

  4. Catalyst Type & Polarity: map headlines into LONG/SHORT intent using keyword/catalyst lists below.

  5. Time Sensitivity: flag “fresh within 30 minutes,” “same hour,” “this morning,” etc.

Sentiment/Catalyst Scoring (5-point impact):

  • 5 (Strong Long): Breakthrough approvals (FDA, patents), M&A takeout rumors with credible sourcing, earnings beats >10% + raised guidance, unexpected Tier-1 partnerships.

  • 4 (Long): Major contract wins, expansion, patent grants, upbeat analyst initiations tied to new data, positive pre-announcements.

  • 3 (Neutral/Wait): Routine earnings inline, standard ops updates, noise upgrades/downgrades without new facts.

  • 2 (Short): Soft guides, credible litigation risk, operational hiccups, modest misses.

  • 1 (Strong Short): Investigations, exec scandal/departures with uncertainty, failed trials/recalls, bankruptcy/delist risk, severe misses + lowered guidance.

Keyword Priorities:

  • LONG: “acquisition”, “merger”, “partnership”, “FDA approval”, “beat estimates”, “raised guidance”, “contract win”, “breakthrough”, “patent”, “expansion”.

  • SHORT: “investigation”, “lawsuit”, “recall”, “failed”, “missed estimates”, “lowered guidance”, “postponed”, “bankruptcy”, “delisted”, “violation”.

Market-Regime Overlay (fetch today’s levels):
Report VIX, a mainstream fear/greed or risk-sentiment proxy, and whether SPY/QQQ are near 20/50D MAs or breaking support/resistance.

  • If bullish regime: bias toward long setups.

  • If bearish regime: bias toward short setups.

Technical Confirmation (lightweight):
Where available from reputable public pages (e.g., Yahoo Finance quote/volume pages, TradingView public snapshots, Nasdaq):

  • Long confirm: price ≥ +4% vs open OR vs prior close (pre-mkt gap OK); volume ≥ 200% of 30-day avg; breaking a visible resistance.

  • Short confirm: price ≤ −4%; volume heavy on down moves; breaking a visible support.
    If unavailable intraday, mark as “Tech: Unknown” (don’t fabricate).

Risk Guardrails:

  • Position sizing suggestion ≤ 2% capital per trade.

  • Default stops: 1% (earnings), 0.5% (macro/econ headlines).

  • Typical TP: 2–3% on momentum; 1–5 trading days expiry.

Filters / Inputs (fill if given; otherwise infer):

  • Watchlist focus: {{tickers or sectors}}

  • Exclusions: {{tickers}}

  • Cap range: {{micro/small/mid/large/mega}}

  • Session: {{Pre-Market / Intraday / Post-Market}}

OUTPUT — produce ALL THREE:

  1. Top Longs (table) and Top Shorts (table), each with up to 10 tickers, ranked by ImpactScore × SourceBreadth × Freshness.
    Columns:

  • Ticker | Company | ImpactScore (1–5) | Why-It-Matters (2 bullets) | Source Breadth (count) | Freshness (min since first item) | SocialAmp (est.) | Tech Check (Pass/Fail/Unknown) | Suggested Risk (stop %, TP %) | Links (top 2) | Timestamp (ET)

  1. JSON block (for automation) — after the tables, output only once:

{
  "as_of_et": "{{YYYY-MM-DD HH:MM}}",
  "market_regime": {
    "vix_level": null,
    "broad_sentiment": null,
    "index_context": "SPY near/below/above 20D/50D"
  },
  "longs": [
    {
      "ticker": "AAA",
      "impact_score": 5,
      "why": ["FDA approval for X", "Raised FY guidance 11%"],
      "source_breadth": 3,
      "freshness_minutes": 27,
      "social_amp": "≥200%",
      "tech_check": "Pass|Fail|Unknown",
      "risk": {"stop_pct": 1.0, "tp_pct": 2.5},
      "links": ["https://...", "https://..."],
      "timestamp_et": "HH:MM"
    }
  ],
  "shorts": [
    {
      "ticker": "BBB",
      "impact_score": 1,
      "why": ["SEC investigation reported", "Guide lowered 8%"],
      "source_breadth": 2,
      "freshness_minutes": 45,
      "social_amp": "≥200%",
      "tech_check": "Pass|Fail|Unknown",
      "risk": {"stop_pct": 0.5, "tp_pct": 2.0},
      "links": ["https://...", "https://..."],
      "timestamp_et": "HH:MM"
    }
  ]
}
  1. Actionable Watchlist (bullets):

  • “Immediate (0–15m)” entries: only items with ImpactScore ≥4 and SourceBreadth ≥2.

  • “Delayed (15–60m)” entries: items where initial spike likely mean-reverts before trend resumes.

  • “Extended (1–4h)” entries: complex stories that need digestion (e.g., regulatory nuances, multi-year partnerships).

Quality Rules:

  • Always link directly to sources; avoid hearsay.

  • Add a one-sentence caveat if thesis rests on a single unconfirmed rumor.

  • If data unobtainable, write “Insufficient public intraday data” rather than guessing.

  • Be concise, but do not omit the timestamps or links.

Final line:
Provide 2 follow-up questions that would make the scan even sharper (e.g., “Want small-cap only? Add a min-price or float cap?”).

NFL Prompt

NFL Matchup & Player Props Research Template

PART 1: GAME MATCHUP SCORING
Objective: Score Team A vs Team B using advanced metrics, validated data, and web-sourced stats.

STEP 1 – DATA VALIDATION (Web Check)

  • Injury Report (<24h): [summary + key players]

  • Weather (if outdoor): [forecast, wind, precipitation]

  • Coaching/Personnel Changes: [yes/no + details]

  • Special Factors (short rest, travel, prime-time, rivalry): [list]

STEP 2 – ADVANCED METRICS (60 pts)

Offensive Efficiency (20 pts)

  • EPA/play (last 4 games): [value] → Score [X/8]

  • Early down success rate: [%] → Score [X/4]

  • Red zone TD rate: [%] → Score [X/4]

  • 3rd down conversion rate: [%] → Score [X/4]
    Reasoning (2–3 sentences): [analysis]

Defensive Strength (20 pts)

  • EPA allowed/play: [value] → Score [X/8]

  • Pressure rate: [%] → Score [X/4]

  • Turnovers forced/game: [value] → Score [X/4]

  • Red zone stop rate: [%] → Score [X/4]
    Reasoning (2–3 sentences): [analysis]

Situational Performance (20 pts)

  • Record vs similar opponents: [summary] → Score [X/10]

  • Home/Away splits: [summary] → Score [X/5]

  • Weather impact: [summary] → Score [X/5]
    Reasoning (2–3 sentences): [analysis]

STEP 3 – CONTEXT FACTORS (40 pts)

  • Roster Health & Depth: [summary] → Score [X/15]

  • Momentum/Consistency: [summary] → Score [X/10]

  • Discipline & Penalties: [summary] → Score [X/5]

  • Intangibles (travel, coaching edge, sentiment): [summary] → Score [X/10]

FINAL GAME OUTPUTS

  • Total Score: [X/100]

  • Data Quality: [X/10] (recency, completeness)

  • Model Confidence: [X/10] (historical fit)

  • Volatility Risk: [Low/Medium/High] + reason

PART 2: PLAYER PROPS PROJECTIONS
Objective: Identify statistical leaders with projected ranges & confidence.

STEP 1 – USAGE PATTERNS

  • Target/Carry Share (last 4 games): [value]

  • Snap % by situation: [value]

  • Red Zone Involvement: [value]

  • Historical vs Opponent: [summary]

STEP 2 – MATCHUP FACTORS

  • Defensive Rank vs Position: [rank/stat]

  • Injury Impact on Coverage/Front: [summary]

  • Recent 2-week trends (weighted 2×): [values]

  • Weather Effect: [summary]

STEP 3 – PLAYER PROJECTION FORMAT

For each key player:

[Player, Team] – Stat Category

  • Projected Range: [X–Y] (80% confidence)

  • Key Factors: [list]

  • Risk Level: [Low/Med/High] → [why]

(Repeat for: Passing Yards, Rushing Yards, Receiving Yards, TD Probability)

VALIDATION CHECK

  • Season Averages vs Projection: [comparison]

  • Historical Matchup History: [summary]

  • Injury/Weather Adjustments: [impact]

  • Market Props/Lines (if available): [values]

PART 3 – ADVANCED ENHANCEMENTS (Optional for deeper research)

  • Apply recency weighting (last 3 games = 2×).

  • Cross-check with multiple sources/models.

  • Flag outlier scenarios (line movement, backups).

  • Provide best/worst-case alt scenarios.