Unclear ยท avg analogue +1.35%
Mixed historical leanPattern Intelligence ยท SHH
603507 quant read
JiangSu Zhenjiang New Energy Equipment Co., Ltd. ยท Industrials
The pattern is not clean enough for a strong directional call. The chart needs confirmation.
Historically negative ยท avg analogue -1.49%
Moderate historical leanThe current setup has both supportive and challenging components.
A decisive weekly close that pulls the 1-week and 4-week evidence into agreement.
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
- 27.71
- Trend Line
- 27.89
- Fair value
- 19.64
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 close to trend, so direction still needs confirmation.
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 |
|---|---|---|---|---|
| KRMD NASDAQ |
2026-06-05 | 0.6801 | higher | +14.25% |
| 300997 SHZ |
2026-06-12 | 0.662 | lower | -15.70% |
| MIA TLV |
2026-06-05 | 0.6431 | lower | -18.17% |
| KSS NYSE |
2026-06-05 | 0.6375 | higher | +18.59% |
| RIVN NASDAQ |
2026-06-05 | 0.6336 | higher | +13.94% |
| NRIM NASDAQ |
2026-06-05 | 0.6269 | higher | +10.04% |
| 000061 SHZ |
2026-06-12 | 0.6266 | lower | -6.20% |
| NGI ASX |
2026-06-12 | 0.6233 | higher | +3.38% |
| 600506 SHH |
2026-06-12 | 0.6212 | lower | -14.08% |
| BIDU34 SAO |
2026-06-12 | 0.6201 | lower | -0.05% |
| NAYP ATH |
2026-06-12 | 0.6188 | lower | -0.40% |
| CEM MIL |
2026-06-12 | 0.6173 | lower | -6.57% |
| RIGL NASDAQ |
2026-06-05 | 0.6145 | higher | +29.37% |
| AEO NYSE |
2026-06-05 | 0.6142 | higher | +0.12% |
| DDS NYSE |
2026-06-05 | 0.6139 | lower | -9.69% |
| BIDU34 SAO |
2026-06-05 | 0.6136 | lower | -4.02% |
| REAL NASDAQ |
2026-06-05 | 0.6124 | higher | +30.55% |
| OBAB STO |
2026-06-05 | 0.6121 | lower | -3.54% |
| RVLV NYSE |
2026-06-05 | 0.6096 | higher | +19.81% |
| VINP NASDAQ |
2026-06-05 | 0.6088 | higher | +3.12% |
| 001318 SHZ |
2026-06-12 | 0.6079 | lower | -6.94% |
| JINDALPHOT NSI |
2026-06-05 | 0.6072 | higher | +8.42% |
| 601566 SHH |
2026-06-05 | 0.6062 | lower | -22.25% |
| ZUMZ NASDAQ |
2026-06-05 | 0.6049 | higher | +0.92% |
| JINDALPHOT NSI |
2026-06-12 | 0.6039 | higher | +4.28% |
| MACY34 SAO |
2026-06-05 | 0.6001 | higher | +17.80% |
| SKL LSE |
2026-06-12 | 0.5996 | lower | -2.27% |
| 601198 SHH |
2026-06-12 | 0.5994 | higher | +9.37% |
| 002682 SHZ |
2026-06-12 | 0.5985 | lower | -10.23% |
| NUVB NYSE |
2026-06-05 | 0.5966 | higher | +18.26% |
What made this setup unusual
These are the largest deviations from the run baseline, renamed into plain market language.
- Volume pressure 1.19909
- Sector structure 0.85601
- Trend Signal -0.3614
- Price vs Fair Value 0.33348
How much evidence stands behind the reading?
30 distinct examples across 28 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
- 2.74%
- Without the best outcome
- 1.78%
- Without the worst outcome
- 3.60%
- Non-overlapping within each company
- 2.78% ยท 28 cases
The two exclusion checks show how much the extremes affect the mean. 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 | 53.3% | 2.71% | 30 | 55% | 0.61 |
| SectorSame country | 19.2% | -6.72% | 30 | 30% | 0.48 |
| IndustrySame country | 19.7% | -6.45% | 30 | 15% | 0.44 |
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
A decisive weekly close that pulls the 1-week and 4-week evidence into agreement.
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.