Earnings Whispers

Earnings Whispers is a specialized platform focused on US corporate earnings announcements. It provides earnings calendars, whisper numbers (unofficial consensus expectations), and earnings analysis. The whisper number represents the true market expectation and often differs from official Wall Street consensus. For traders using StratBase.ai, Earnings Whispers supplies critical event data that drives volatility and directional moves, enabling you to backtest strategies around earnings catalysts with accurate, market-derived expectations rather than analyst consensus figures.

Earnings Calendar Daily and weekly schedule of earnings announcements with pre-market and after-hours reporting times. Filter by sector, market cap, expected earnings date, and earnings surprises. The calendar shows which stocks report each day, allowing you to identify concentration risk or multi-stock trading days.

Whisper Numbers Unofficial consensus expectations derived from actual trader and investor sentiment, often more accurate than Wall Street consensus. Whisper numbers reflect what the market truly expects, not what sell-side analysts officially forecast. This distinction is critical—whisper numbers tend to be higher for growth stocks and lower for value stocks, revealing market positioning.

Expected Surprise Direction Predictive indicator showing whether a stock is likely to beat or miss based on whisper vs. consensus and historical accuracy patterns. This helps traders anticipate the likely direction of the move before the announcement.

Earnings Reports Detailed post-announcement analysis including actual vs. expected EPS, revenue, margins, guidance, and management commentary. Historical earnings data extends back years, allowing pattern analysis of how specific companies behave across earning cycles.

Earnings Alerts Email and app notifications for tracked stocks, with customizable alerts for report dates, surprise expectations, and actual results. Real-time notifications prevent missing key events.

Historical Data Past earnings results, stock reactions, and beat/miss records for backtesting and pattern identification. Compare how a stock moved after beating/missing by X% to understand historical volatility and direction bias.

Sector Analysis Earnings trends by industry, showing which sectors are reporting strong/weak results and where surprises are clustering. Identify sector-wide earning strength or weakness affecting your positions.

Guidance Updates Management commentary on forward expectations, often driving post-earnings moves as much as reported numbers. Earnings Whispers tracks both beat/miss and guidance changes.

Swing Traders Earnings Whispers helps swing traders identify 2–10 day pre-announcement rallies or selloffs, and post-earnings reversals. Traders backtest breakout strategies into earnings on StratBase.ai using confirmed earnings dates from Whispers.

Day Traders Pre-market and after-hours earnings data enable day traders to position for opening gaps and intraday reversals. Knowing exact report times (7 AM vs. 4 PM) prevents being caught flat into volatile opens.

Options Traders Whisper numbers and expected surprise direction inform volatility expansion expectations and directional bias for straddles, strangles, and directional spreads. Earnings Whispers helps traders size volatility premiums accurately.

Earnings Momentum Traders Traders who profit from surprise-driven directional moves use Earnings Whispers to build pre-earnings catalyst lists and backtest mean-reversion or momentum strategies around surprise magnitude.

Event-Driven Quants Quantitative traders use historical beat/miss rates, surprise magnitude distributions, and sector correlation data to model earnings season impacts and build systematic strategies around earnings clusters.

Portfolio Managers Portfolio managers use Earnings Whispers to map upcoming catalysts across holdings, assess guidance risk, and time rebalancing around high-impact earnings dates.

Pre-Earnings Volatility Trading Use Earnings Whispers to identify stocks reporting this week with high expected surprises. Backtest on StratBase.ai a strategy that buys calls 3–5 days before earnings if whisper surprise is >3%, exits intraday on earnings day. Compare volatility expansion from entry to earnings close.

Beat/Miss Directional Strategy Pull 2 years of historical beat/miss data from Earnings Whispers for a specific stock. Backtest on StratBase.ai whether beats consistently lead to 2–5 day rallies or mean reversion, and whether misses gap down or bounce. Size your post-earnings trade based on historical frequency.

Sector Rotation Around Earnings Use Earnings Whispers sector analysis to identify which sectors have the most positive surprise trends. Backtest rotating your equity allocation or options positions into outperforming earnings sectors and out of weak ones.

Gap Trading Identify earnings report times on Earnings Whispers (pre-market gaps tend to be larger than after-hours). Backtest a pre-market fade or gap-fill strategy using actual gap sizes from past earnings seasons on StratBase.ai.

Whisper vs. Consensus Arbitrage When whisper numbers diverge significantly from Wall Street consensus, backtest whether the stock moves toward the whisper expectation or consensus. This reveals market positioning and helps traders size directional bets.

Earnings Cluster Trading On earnings-heavy days (Tuesdays in earnings season), Earnings Whispers shows multiple reports. Backtest whether your strategy performs better/worse during high-volume earnings days vs. quiet days, and adjust position sizing accordingly.

Guidance Miss Reversal Track companies that miss earnings but raise guidance using Earnings Whispers reports. Backtest whether these stocks rally post-announcement vs. fade, and size accordingly based on historical patterns.

Earnings Whispers provides the fundamental event data that StratBase.ai needs to backtest event-driven strategies accurately. Here's how they work together:

Accurate Date Alignment Use confirmed earnings dates from Earnings Whispers to set entry/exit signals in your StratBase.ai backtest. Avoid date errors that cause false signals or missed trades.

Surprise Direction Integration Earnings Whispers whisper numbers let you calculate expected surprise magnitude (whisper vs. consensus). Backtest StratBase.ai strategies that scale position size based on surprise magnitude—larger surprises warrant larger positions.

Historical Reaction Analysis Pull historical beat/miss data and stock reactions from Earnings Whispers, then backtest the same scenarios in StratBase.ai using the same stock and timeframe. Compare expected vs. actual results to validate your strategy's edge.

Volatility Expansion Modeling Earnings Whispers surprise history informs expected volatility expansion. Use these vol expectations to size options strategies in StratBase.ai, calculating position risk more accurately before earnings.

Sector Comparative Backtest Earnings Whispers sector trends let you filter backtests on StratBase.ai by industry. Test whether your earnings strategy works better in technology vs. healthcare vs. financials, and adjust universe selection based on results.

Time-Based Strategy Testing Know from Earnings Whispers which days/weeks are earnings-heavy vs. quiet. Backtest StratBase.ai strategies with and without earnings events to isolate the impact of volatility and directional bias on your edge.

Risk Management Integration Use Earnings Whispers expected surprise magnitude to set stop losses in StratBase.ai. For example, if whisper surprise is typically ±3% and you're backtesting a 2% stop, you'll understand that earnings represents tail risk not captured by normal backtest assumptions.

1. Visit earningswhispers.com
2. Check this week's earnings calendar and identify 3–5 stocks with high expected surprises
3. Note the report time (pre-market vs. after-hours) and whisper number
4. Compare whisper vs. Wall Street consensus to gauge market positioning
5. Pull historical beat/miss data for your stock
6. Open StratBase.ai and set up a backtest around the earnings date using the confirmed date from Whispers
7. Scale position size based on whisper surprise magnitude from Earnings Whispers
8. Backtest pre-earnings, post-earnings, and fade strategies to validate your edge
9. Track stocks for real-time earnings alerts once you've validated your strategy

• Earnings Whispers
• Earnings Calendar
• Most Anticipated Earnings