Stocks estimated to report earnings within 7 days. Includes trend positioning, volume context, and date confidence grading.
Run this scan →Earnings reports are the single most important catalyst for individual stocks. The Earnings Next Week scanner estimates each company's next reporting date from its historical quarterly cadence and surfaces names with reports due within 7 days. Each setup is graded on date confidence, trend positioning vs the 50 SMA, building relative volume into the print, ATR-based volatility, and liquidity — so you can prepare positions or hedge exposure ahead of the catalyst.
Trading around earnings has been a staple of professional money management since the 1970s, when academic studies first quantified the post-earnings drift effect. Modern earnings trading splits into two camps: those who hold through the report (event-driven funds) and those who exit before and re-enter after (most discretionary traders). Either way, knowing exactly when a company reports is a prerequisite — and historical quarterly cadence is the cleanest way to estimate it.
Our scanner evaluates the following criteria when detecting Earnings Next Week setups across 5,000+ stocks daily.
For earnings next week setups, an A+ grade means high-confidence estimated date within 3 days, bullish trend above 50 SMA, building RVOL, and strong liquidity. Lower grades meet fewer criteria. This is not a prediction of future price movement — it is a way to prioritize which charts deserve your attention first.
If holding through, enter on a continuation pattern in the days before the report and size to maximum risk = 1× position size. If trading the reaction, wait for the gap and trade the post-earnings drift the next morning.
For pre-earnings holds, stop below the most recent swing low. For post-earnings entries, stop below the gap-day low.
Pre-earnings: take profits before the report. Post-earnings: target the next resistance or trail with a moving average for the drift continuation.
This is educational content only. Not financial advice. Always do your own research and manage risk appropriately.