> Source: https://ashareapi.com/en/docs/guides/stock-screening-strategies/ · Markdown version for LLMs / AI agents Guide # 22 ready-made A-share screening strategies Do not want to write screening conditions yourself? The API ships 22 ready-made strategies (called `preset` in the interface): low PE, high dividend, high ROE, growth, main-capital inflow and more — tweak and run. This guide walks them by category: what each screens, who it suits, and what the output looks like — with live results from five of them. ## 1. Ready-made strategy vs writing your own expression Python: run a ready-made strategy ``` import requests BASE = "https://api.ashareapi.com/v1" H = {"Authorization": "Bearer ct-your-key"} r = requests.get(f"{BASE}/screen", params={"preset": "LowPE", "orderby": "PE_TTM", "limit": 5}, headers=H, timeout=30) body = r.json() print(body["ok"], body["elapsed_ms"]) for row in body["structured"]: print(row) ``` | | | Use | When | Example | | `preset` | Run a standard answer first, or avoid tuning factors | preset=LowPE | | `expr` | You have your own factor logic and need precise control | expr=intersect([...]) `preset` Run a standard answer first, or avoid tuning factors preset=LowPE `expr` You have your own factor logic and need precise control expr=intersect([...]) **Strategy names can be combined with parameters**: `preset=LowPE --limit 20 --orderby PE_TTM --asc`. Names (the `preset` parameter) are **case- and underscore-insensitive** (`low_pe` = `LowPE` = `Low-PE`). ## 2. The 22 ready-made strategies in four groups Grouped by "what the investor is looking for" — easier to remember than alphabetically: ## 2.1 Valuation (finding cheap names, 7) | | | Strategy | Screens for | Suits | | LowPE | Low price/earnings | Value screening start | | LowPB | Low price/book | Asset-heavy sectors (banks / property / steel) | | ValuationPercentile | Valuation at historical lows | "Is it cheaper than the past?" | | HighDividend | High dividend yield | Income strategies | | HighDividendLowValuation | High yield + low valuation | Dividend-value combo (most used) | | PEG | PEG (PE / earnings growth) | Growth valuation sanity | | SmallCapValue | Small cap + value | Small-cap value hunting LowPE Low price/earnings Value screening start LowPB Low price/book Asset-heavy sectors (banks / property / steel) ValuationPercentile Valuation at historical lows "Is it cheaper than the past?" HighDividend High dividend yield Income strategies HighDividendLowValuation High yield + low valuation Dividend-value combo (most used) PEG PEG (PE / earnings growth) Growth valuation sanity SmallCapValue Small cap + value Small-cap value hunting ## 2.2 Profitability quality (finding real earners, 6) | | | Strategy | Screens for | Suits | | HighROE | High return on equity | Capital-efficient companies | | HighGrowth | High growth (revenue / profit) | Growth screens | | PositiveCashFlow | Positive operating cash flow | Exclude paper profits | | LowDebt | Low debt | Conservative, anti-leverage | | WhiteHorseGrowth | Large-cap growth | Steady growth | | Turnaround | Distressed turnaround | Speculative — needs extra verification HighROE High return on equity Capital-efficient companies HighGrowth High growth (revenue / profit) Growth screens PositiveCashFlow Positive operating cash flow Exclude paper profits LowDebt Low debt Conservative, anti-leverage WhiteHorseGrowth Large-cap growth Steady growth Turnaround Distressed turnaround Speculative — needs extra verification ## 2.3 Technical (3) | | | Strategy | Screens for | Suits | | KDJOversold | KDJ oversold | Technical bottom signals | | RSIOversold | RSI oversold | Same idea, different indicator | | NineTurnGreen9 | DeMark 9 structure | Pattern-based selection KDJOversold KDJ oversold Technical bottom signals RSIOversold RSI oversold Same idea, different indicator NineTurnGreen9 DeMark 9 structure Pattern-based selection ## 2.4 Money flow and institutions (5) | | | Strategy | Screens for | Suits | | MainInflow | Main-capital inflow | Follow main funds (daily basis) | | SustainedInflow | Sustained main-capital inflow | Steadier (multi-day basis) | | HighShortRatio | High short ratio | A risk/anomaly signal, NOT bullish | | HighRating | High analyst rating | Sell-side consensus | | TargetPriceUpside | Upside to target price | Target vs current price MainInflow Main-capital inflow Follow main funds (daily basis) SustainedInflow Sustained main-capital inflow Steadier (multi-day basis) HighShortRatio High short ratio A risk/anomaly signal, NOT bullish HighRating High analyst rating Sell-side consensus TargetPriceUpside Upside to target price Target vs current price ## 3. Live results: what five strategies return (2026-09-29) All below are real live responses (`limit=5`). ## 3.1 LowPE | | | code | name | PE_TTM | PE_Fwd | PB | ClosePrice | | sz000656 | Jinke Property | 0.36 | 356.56 | 3.17 | 1.25 | | sh600841 | Dongli Xinke | 2.41 | 49.32 | 1.21 | 5.65 | | sz002582 | Haoxiangni | 2.56 | 2.80 | 0.93 | 9.31 | | sh600015 | Huaxia Bank | 3.94 | 5.29 | 0.31 | 6.22 sz000656 Jinke Property 0.36 356.56 3.17 1.25 sh600841 Dongli Xinke 2.41 49.32 1.21 5.65 sz002582 Haoxiangni 2.56 2.80 0.93 9.31 sh600015 Huaxia Bank 3.94 5.29 0.31 6.22 **Note**: Jinke Property PE_TTM=0.36 is an extreme value needing a health check (its PE_Fwd is 356.56 — nearly 1000x apart in the same table). Being screened **does not** mean it is worth buying — see "Factor screening basics", sections 4-5. ## 3.2 HighDividendLowValuation | | | code | name | Yield(%) | PE_TTM | PB | MktCap(100m) | | sh603165 | Rongsheng Env. | 15.27 | 13.81 | 1.82 | 41.31 | | sz002572 | Suofeiya | 10.47 | 11.43 | 1.10 | 73.58 | | sh601717 | Zhongchuang | 9.59 | 6.88 | 0.98 | 232.64 | | sz002867 | Zhou Dasheng | 8.96 | 11.37 | 1.75 | 109.09 sh603165 Rongsheng Env. 15.27 13.81 1.82 41.31 sz002572 Suofeiya 10.47 11.43 1.10 73.58 sh601717 Zhongchuang 9.59 6.88 0.98 232.64 sz002867 Zhou Dasheng 8.96 11.37 1.75 109.09 A combination of >10% yield and ## 3.3 HighROE | | | code | name | ROEWeighted(%) | ClosePrice | ChangePCT | | sz001309 | Demingli | 95.11 | 370.74 | -0.15 | | sz000889 | Zhongjia Bochuang | 91.81 | 3.70 | 1.93 | | sz000701 | Xiamen Xinda | 85.27 | 5.14 | -0.58 | | sh688825 | Changxin Tech | 81.06 | 54.77 | 1.80 sz001309 Demingli 95.11 370.74 -0.15 sz000889 Zhongjia Bochuang 91.81 3.70 1.93 sz000701 Xiamen Xinda 85.27 5.14 -0.58 sh688825 Changxin Tech 81.06 54.77 1.80 **Note**: ROE above 80% is an extreme value, usually paired with **high leverage or non-recurring items** — always check `ROECut` and `DebtEquityRatio`. ## 3.4 PEG | | | code | name | PE_TTM | Profit YoY(%) | MktCap(100m) | | sz300456 | Sai Micro | 6.21 | 415612.1246 | 259.35 | | sz301308 | Longsys | 11.91 | 71528.661 | 1427.93 | | sh688308 | Oke Precision | 26.88 | 47734.2439 | 127.36 | | sh600345 | Changjiang Comm. | 23.05 | 8833.106 | 154.59 sz300456 Sai Micro 6.21 415612.1246 259.35 sz301308 Longsys 11.91 71528.661 1427.93 sh688308 Oke Precision 26.88 47734.2439 127.36 sh600345 Changjiang Comm. 23.05 8833.106 154.59 **Watch out here**: profit YoY of 415,612% or 71,528% means the **base was near zero** last year, so growth loses meaning. Always look at the absolute profit alongside PEG. ## 3.5 HighDividend A live `preset=HighDividend --limit 10` returned top yields around **13-14%** (e.g. 14.30% / 13.29% / 13.19%). **Note**: yield = dividend per share / price, so **a falling price inflates yield**. High yield is not automatically good — check earnings and cash flow. ## 4. Three cautions - **A strategy is a starting point, not a conclusion** — it narrows 5,000 names to dozens; judgement still applies (no buy/sell advice here) - **Extremes require a health check** — all four strategies above returned extremes (PE 0.36 / ROE 95% / growth 415,612%); see "Factor screening basics" - **Mixing technical and fundamental strategies needs care** — one reads price patterns, the other financials; combined they may cancel out ## 5. Parameter reference | | | Parameter | Purpose | Example | | `preset` | Select a strategy | preset=LowPE | | `limit` | Rows returned | limit=20 | | `orderby` | Sort field | orderby=ROETTM | | `desc` | Descending (default ascending) | desc=1 | | `date` | Factor values on a past date (backtest) | date=2026-08-01 | | `market` | Market: hs / hk / us | market=hs | | `universe` | Restrict the universe | universe=... `preset` Select a strategy preset=LowPE `limit` Rows returned limit=20 `orderby` Sort field orderby=ROETTM `desc` Descending (default ascending) desc=1 `date` Factor values on a past date (backtest) date=2026-08-01 `market` Market: hs / hk / us market=hs `universe` Restrict the universe universe=... **`date` is the backtest key**: pass a historical date to screen with that day factor values. ## FAQ Are strategy names (`preset`) case sensitive? No. low_pe / LowPE / Low-PE are equivalent. An invalid name returns the available strategy list. Why is the top result such a strange stock? Sorting by a single factor naturally surfaces extremes (the lowest PE often belongs to a company with distorted profit). This is inherent to factor screening, not an API fault — hence the mandatory health check. Can I pass multiple strategies at once? No. Write an equivalent expression with intersect, or run them separately and filter locally. Is HighShortRatio bullish? No. It screens for high short ratios — a risk/anomaly signal. Be clear about your logic before using it. Last updated: 2026-09-29 The 22-strategy list is taken from live ashareapi /v1/screen responses (verified 2026-09-29: an invalid preset returns the full list); grouping and parameters follow measured verification notes (2026-08-31); all result rows are live runs. Related - [Factor screening basics (incl. health check)](/en/docs/guides/factor-screening) - [Expression syntax & factor dictionary](/en/docs/guides/screen-expressions) - [Value investing screening & outlier checks](/en/docs/guides/value-stock-screening) - [Endpoint reference (screen)](/en/docs/endpoints/screen) [← All tutorials](/en/docs/guides)