After a stock gets violently repriced, a short squeeze, an earnings collapse, a sector rotation, it often enters a tight range where it just sits. No direction. No conviction. Traders stare at it wondering: which way does it break?
We have a quantitative equity model to answer that.
The Study
We analyzed 1,595 dislocation events across the Russell 3000 from 2020 to 2026. A dislocation is defined as a stock that moved 100%+ to the upside or 50%+ to the downside within 20 trading days, these are genuine violent repricings, not normal volatility.
We tracked what happened in the 60 trading days after the extreme and identified when stocks entered consolidation. Then we measured which direction they broke out.
The results were not what we expected.
Finding #1: Crashes Mean-Revert. Squeezes Don't.
After a stock crashes 50%+, consolidates, and breaks out, it breaks higher 71% of the time (367 events, p < 0.0001).
After a stock squeezes 100%+, the breakout direction is essentially a coin flip, 48% continuation, 52% reversal.
The market systematically overreacts to the downside and then corrects. Upside dislocations are priced more efficiently.
Finding #2: The Bigger the Squeeze, the Harder the Fall
Not all squeezes are equal. The breakout direction depends heavily on the magnitude of the original move:
Moderate moves (50-100%) carry strong upward bias. Once a stock doubles, it's a coin flip. Beyond 200%, the odds flip decisively to the downside, two-thirds of mega-squeezes give back their gains.
Finding #3: The Coil Score: 92% Accuracy
Here's where it gets actionable.
We combined these six signals into a single daily score: the Coil Score, ranging from 0 (max bearish) to 6 (max bullish).
The signals fall into three categories:
Price positioning signals: Where is the stock closing relative to its own daily range and volume-weighted benchmarks? Quiet accumulation and quiet distribution leave different footprints.
Directional conviction signals: Which way is the stock moving during specific windows of the trading day? Certain intraday periods are more informative than others.
Volatility compression signals: How tight is the stock trading during consolidation? The "coiling spring" effect is real and measurable.
The accuracy:
When the model has high conviction (5-6/6 or 0-1/6), it's right over 90% of the time.
Finding #4: The Returns Are Real
Knowing direction is only useful if the move is large enough to trade. It is.
We measured returns from the consolidation midpoint (the entry price) through breakout and beyond for high-conviction setups:
Bullish setups (Coil Score 5-6/6 that broke UP, 135 events):
Average maximum gain within 20 days of breakout: +24.2%. And on average, the stock never went below the entry price, the average worst drawdown from entry was effectively zero.
Bearish setups (Coil Score 0-1/6 that broke DOWN, 123 events):
Average maximum decline within 20 days of breakout: -23.9%. The average bounce against the short position was minimal.
Case Study #1: META, The Coil Model Says Buy
In mid-2022, META had lost over 75% of its value from its 2021 highs. Wall Street hated it. Analysts were downgrading. The narrative was that Zuckerberg had destroyed the company chasing the metaverse.
META fell into the 50-75% DOWN dislocation bucket, where our study shows 71% of stocks break higher out of consolidation.
After the crash, META entered a tight consolidation range. The Coil Score during the consolidation window read 6/6 bullish, maximum conviction, every session, no wavering. All six signals aligned in the same direction. In our dataset, a 6/6 reading resolved in the predicted direction 92% of the time.
META broke higher out of consolidation and never looked back. A hypothetical entry at the consolidation midpoint would have captured the full breakout move plus follow-through. The Coil Model would have told you to buy the most hated stock on Wall Street, when no one else would touch it.
Case Study #2: PTON, The Coil Model Says Stay Away
In early 2023, Peloton squeezed 101% off its lows. The turnaround narrative was back, new CEO, cost cuts, subscriber growth stabilizing. Retail traders piled in.
PTON fell into the 100-200% UP dislocation bucket, where our study shows the breakout direction is essentially a coin flip (51% UP, 49% DOWN). The base rate alone offered no edge.
But the Coil Score did. During PTON's consolidation window, it read 0/6 bearish, maximum conviction in the opposite direction. Every session, all six signals pointed down. Beneath the surface of what looked like a stock building a base, the microstructure was screaming distribution.
PTON broke lower. The squeeze was a trap. A trader relying on the chart or the narrative would have been caught. The Coil Model would have kept you out.
Case Study #3: CAR, Live and In Progress
Avis Budget (CAR) squeezed from $97 to $714 between March 31 and April 22, 2026, a 565% move driven by a massive short squeeze. It has since collapsed to the $175-180 range where it's been stuck for about a week.
What the base rates say: CAR falls in the 200%+ magnitude bucket, the most extreme category in our study, where 65% of events break DOWN from consolidation. The bigger the squeeze, the harder the fall, and this was one of the biggest.
CAR has also done this before. Twice. In 2020, a 141% squeeze consolidated and broke DOWN. In 2021, a 177% squeeze consolidated with a Coil Score of 6/6 bearish, maximum conviction, and broke DOWN from $357 to $175. The stock has a pattern.
What the current Coil Score shows: Through April 30, CAR's Coil Score reads 1/6 bearish. Out of 7 post-squeeze trading days, 6 have scored BEAR. The first few days were still in the crash phase (the stock fell from $714 to $180), but the last 3-4 days are true consolidation, tight range, low conviction, and the signals are leaning decisively bearish.
The caveat: The median consolidation for 200%+ moves is 13 trading days. CAR is roughly at the halfway point. The signal needs more time to stabilize before the model reaches full conviction. We'll re-score CAR in our next update when the full consolidation window is available.
What's at stake: If the Coil Score holds at 0-2/6 through the full consolidation window, the historical base rate for a DOWN break is approximately 86%. If it flips to 4+/6, the odds reverse. We'll be watching.
Key Takeaways
For crash buyers: When a Russell 3000 stock drops 50%+ and enters consolidation, the base rate strongly favors upside (71%). A Coil Score of 4+/6 during consolidation pushes the probability of an UP breakout to 86%.
For squeeze faders: Mega-squeezes (200%+) break DOWN 65% of the time. A Coil Score of 0-2/6 during consolidation pushes that probability to 86%.
Consolidation typically lasts 12 trading days (median), with a 25th–75th percentile range of 8–21 days. If a stock has been stuck for less than a week, be patient.
What's Next
The Coil Model will be available on alphatica.io at product launch, score any stock in real-time consolidation, track live Coil Scores, and get alerts when high-conviction setups emerge. Subscribers will be the first to know when we go live.
This is the first in a series of original trading research from Alphatica.
Alphatica does not provide investment advice. This research is for informational and educational purposes only. Past performance does not guarantee future results.
DISCLOSURE & DISCLAIMER
This communication is provided by Alphatica Quantitative Research for informational and educational purposes only. It does not constitute investment advice, a recommendation, or a solicitation to buy or sell any securities.
Alphatica is not a registered investment adviser, broker-dealer, or financial institution. Nothing in this email should be interpreted as personalized financial advice. All investment decisions are made solely by the recipient at their own risk.
Past performance is not indicative of future results. Any returns, signals, or model outputs referenced herein are based on historical backtesting and/or live tracking and may not be replicated in the future. Markets are inherently uncertain, and losses, including total loss of capital are possible.
The signals provided reflect the output of quantitative models and do not account for individual financial circumstances, risk tolerance, tax implications, or investment objectives. Recipients should consult a qualified financial advisor before making any investment decisions.
By receiving this email, you acknowledge and agree that Alphatica, its principals, and affiliates bear no responsibility or liability for any financial losses, damages, or adverse outcomes resulting from the use of or reliance on the information contained herein.
