Startup All Time Low + OBVolume = Weinstein/Wyckoff

Startup All Time Low + OBVolume = Weinstein/Wyckoff


I would like to share my startup screener to detect accumulation and possible breakout inspired by Stan Weinstein and Wyckoff logic.


Why investing in startup?

Because it the most profitable strategy in term of % of gain and in time invested

The idea is to find an all time low and high volume activity (Bollinger Band breakout of OBV).

I personnaly scan startup and find in which business the company is active

Good luck and I am opened to feedback.

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No information on this site is investment advice or a solicitation to buy or sell any financial instrument. Past performance is not indicative of future results. Trading may expose you to risk of loss greater than your deposits and is only suitable for experienced investors who have sufficient financial means to bear such risk.

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  1. Papismedov Avram • 195 days ago #

    Hello Yannick. Thank you for sharing.
    You can replace your “All time low identification” (“for … next” lines) with one command:
    ATL = lowest[BarIndex](low)
    Good Luck

  2. Yannick • 194 days ago #


    Thanks for code optimisation, it should faster@Avram
    @GraHal I run the screener on France alternext or similar market (startup or mining companies). The screener is designed mainly for start ups company at the begining of the start up of the upside trend , when “the death valley” of cash flow is met . This pattern occurs at different stages : prototype, first sales, new market introduction. The bottom of the valuation of a company is met

    OBV is expeted to be negative, because seeder and first investors before Initial Public Offering must have sold their shares for profit taking at the seed stage or different rounds of funding.

    The psychlogy behind this pattern is : at IPO, the company is losing money, everyone is selling, selling, the company lose money…… then the free cash flow becomes positive or expected earning. Some funds or insiders are buying , which indicated high volume activity. Then trend is launch , the price rise, and OBV is positive : more buyer than seller.

    I have learned this pattern with Twitter example last year in 2016 or with the financial education that I got with my personal startup project.

  3. Yannick • 194 days ago #

    This screener should as well with mining companies with strong cycles (exploration, development, mining)

  4. JJ Tec • 194 days ago #

    Muy interesante la apreciación sobre empresas IPO, similar patrón de comportamiento lo he observado en acciones americanas nuevas (Tradeweb, Pinterest, )….la utilización del OBV para la detección de estas empresas es muy efectivo, particularmente, uso una modificación del OBV que captura el inicio de fases alcistas en gráfico diario y semanal. Tambien el indicador (al que he llamado remora), actua como un filtro efectivo para estrategias tendenciales.

  5. JJ Tec • 194 days ago #

    como puedo colgar una imagen?

  6. Yannick • 193 days ago #

    Hello JJ Tec, we can speak in english here (puedes hablar en espanol pero toda la gente habla ingles)

  7. Philippo • 127 days ago #

    nice, thanks

  8. Khởi Phát • 17 days ago #

    why can not use this code? when i copied after that paste in ambiroker it was run.

    • Nicolas • 16 days ago #

      We do not provide any code for Amibroker on our website. All codes are to be used with the ProRealTime trading platform.

  9. Yannick • 4 days ago #

    Please find an updated version with stocks below 200 average
    //ATL All time low identification
    ATL = lowest[BarIndex](low)

    //High volume activity
    myOBV = OBV(close)
    BollUp = avgOBV+stdevOBV

    //ATL zone and volume activity
    screener[ c1 and c2 and c3 ]

  10. Papismedov Avram • 5 hours ago #

    missing line of condition 2 “c2=myOBV>BollUP”

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