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):
News Volume Spike: ≥3 distinct stories in ≤4h, especially if stock averages <1/day.
Cross-Platform Coverage: same ticker appears on ≥2 independent sources (e.g., Reuters + company PR + Yahoo Finance).
Social Amplification: estimate if mentions jumped ≥200% over baseline on finance Twitter/Reddit (link or cite credible aggregators if possible).
Catalyst Type & Polarity: map headlines into LONG/SHORT intent using keyword/catalyst lists below.
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:
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)
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"
}
]
}
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.