Unclear ยท avg analogue +1.95%
Mixed historical leanPattern Intelligence ยท NASDAQ
SRZN quant read
Surrozen Inc ยท Healthcare
The nearest historical setups point to a positive historical outcomes, and the completed-week chart evidence supports it.
Historically positive ยท avg analogue +10.08%
Stronger historical lean3 of the core evidence blocks are supportive.
Confirmation is present while price holds above trend and relative strength remains firm.
Current weekly tape
Price, trend line, and fair value
Compare the stored pattern with completed weekly prices. The Fair Value line is the latest reference within this chart, held constant across the display.
- Close
- 29.54
- Trend Line
- 25.15
- Fair value
- 14.17
Signal stack
What changed underneath price?
Each signal is standardized against its own recent history, so the lines show whether the current reading is unusually strong or weak for this stock.
Historical memory
Selected 4-week example returns
Each bar is a stored exampleโs subsequent return, ordered by similarity. This selected set differs from the weighted global, sector and industry blend above.
How varied were the historical outcomes?
The lower quartile, median and upper quartile of the selected examples. Actual future outcomes can fall outside this historical range.
What weaker historical analogues tended to deliver.
The middle outcome from the nearest resolved examples.
What stronger historical analogues tended to deliver.
Why the model sees this setup
These are the current conditions feeding the analogue read. The point is not the number alone; it is whether the evidence agrees with the historical read.
Price is comfortably above its medium-term trend.
Price is stretched above the current Fair Value estimate.
Market Dynamics are neutral.
The stock is showing relative leadership.
This component is a drag.
This component is supportive.
Closest resolved setups
The table keeps the model honest: these are the actual examples behind the selected-example statistics.
| Ticker | Week | Similarity | Outcome | 4W return |
|---|---|---|---|---|
| GURU TOR |
2026-06-12 | 0.6157 | lower | -15.30% |
| TCIFINANCE NSI |
2026-06-12 | 0.6089 | lower | -38.59% |
| LMND NYSE |
2026-06-12 | 0.6011 | higher | +22.65% |
| REAL NASDAQ |
2026-06-12 | 0.5554 | higher | +3.11% |
| VSCO NYSE |
2026-06-05 | 0.5419 | higher | +2.83% |
| ALHC NASDAQ |
2026-06-12 | 0.5371 | higher | +0.41% |
| REAL NASDAQ |
2026-06-05 | 0.5346 | higher | +30.55% |
| 600113 SHH |
2026-06-05 | 0.5304 | lower | -5.96% |
| PGEN NASDAQ |
2026-06-12 | 0.5264 | higher | +19.55% |
| NRGV NYSE |
2026-06-05 | 0.5259 | lower | -26.14% |
| KLAC VIE |
2026-06-12 | 0.5249 | lower | -7.46% |
| NUVB NYSE |
2026-06-12 | 0.5239 | higher | +18.09% |
| LMND NYSE |
2026-06-05 | 0.523 | higher | +38.98% |
| RISE JKT |
2026-06-12 | 0.5133 | lower | -24.79% |
| CVNA NYSE |
2026-06-05 | 0.5133 | higher | +3.14% |
| PADA JKT |
2026-06-12 | 0.5133 | lower | -15.75% |
| NUVB NYSE |
2026-06-05 | 0.5121 | higher | +18.26% |
| 603516 SHH |
2026-06-12 | 0.5112 | lower | -4.20% |
| NRGV NYSE |
2026-06-12 | 0.5104 | lower | -20.00% |
| 600113 SHH |
2026-06-12 | 0.5089 | lower | -7.73% |
| KTOS NASDAQ |
2026-06-12 | 0.5072 | lower | -16.55% |
| ARQT NASDAQ |
2026-06-12 | 0.5046 | higher | +13.78% |
| MUTHOOTFIN NSI |
2026-06-12 | 0.5033 | higher | +2.87% |
| 1336 HKG |
2026-06-12 | 0.5026 | lower | -7.56% |
| 688109 SHH |
2026-06-12 | 0.4996 | lower | -3.12% |
| BZT LSE |
2026-06-12 | 0.4986 | higher | +15.32% |
| COMP NYSE |
2026-06-12 | 0.4981 | higher | +36.44% |
| 300774 SHZ |
2026-06-12 | 0.4966 | lower | -22.05% |
| 603516 SHH |
2026-06-05 | 0.4961 | lower | -12.09% |
| ADPT NASDAQ |
2026-06-12 | 0.4959 | higher | +19.66% |
What made this setup unusual
These are the largest deviations from the run baseline, renamed into plain market language.
- Volume pressure 3.63942
- Weekly range 1.22787
- Price vs Fair Value 1.00751
- Price Cycle 0.99229
How much evidence stands behind the reading?
30 distinct examples across 24 companies and 2 entry weeks. 2026-06-05โ2026-06-12.
The distribution, including losses
0 unchanged outcomes. Bins use equal counts, not similarity weights; positive means strictly above zero.
Does one observation change the story?
- Selected-example mean
- 0.61%
- Without the best outcome
- -0.71%
- Without the worst outcome
- 1.96%
- Non-overlapping within each company
- 0.27% ยท 24 cases
Removing one extreme outcome reverses the meanโs sign. Treat the historical lean as fragile. Companies can still share the same market shock; these checks do not prove independence.
Does the result travel across comparison groups?
The headline 4-week rate blends these stored groups. The selected example chart and one-week calculation use a combined shortlist, so they will not necessarily reproduce that blend.
| Comparison group | Positive rate | Mean return | Matches | Blend weight | Median similarity |
|---|---|---|---|---|---|
| Global | 50.0% | 0.44% | 30 | 55% | 0.51 |
| SectorSame country | 100.0% | 20.99% | 30 | 30% | 0.45 |
| IndustrySame country | 96.9% | 23.63% | 30 | 15% | 0.43 |
Groups can share examples. Their counts must not be added together as independent observations. Similarity measures resemblance, not a likelihood of success.
What would strengthen or weaken this case?
Historical lean meets chart support
Confirmation is present while price holds above trend and relative strength remains firm.
Look for the next completed weekly observation to sustain agreement in trend, relative strength and activity.
Similar history, different conditions
If current price and direction oppose the historical lean, keep it as an unconfirmed case. Review the weaker peer group and whether the result depends on extreme examples.
The setup changes
A change in trend, fading relative strength or a materially different pattern can make the old matches less relevant. Recheck the pattern date and the next published reading.
Read the evidence in the right order
1. Compare like with like
Weekly price and indicator conditions are matched with resolved historical setups. Each listing appears once, using its most recent stored reading. Check the date and outcome horizon.
2. Separate frequency from payoff
The headline is a similarity-weighted blend of global, same-country sector and industry results where available. A high positive rate can coexist with large losses. Inspect the median, tails and individual examples.
3. Demand current confirmation
These are descriptive historical matches, not calibrated odds or an independently validated trading edge. Examples may overlap in time, share companies and reflect later data corrections. Costs, liquidity and delisted-company coverage need separate evaluation.