Recent content by laplacian

  1. L

    US equities daily (+ adjustments)

    Equity metada, non-price daily data points, data for non-US markets, pooled pricing with other datasets (daily price data is rarely the only thing a trading company needs). Algoseek is not meant to be a complete solution for daily equity market data. I would add generally support and quality...
  2. L

    US equities daily (+ adjustments)

    There's a lot more to just price and dividend data in a basic market data $20+k/year feed more traditionally used by trading companies. It is always surprising that super standard daily frequency equities data costs that much, but when I take into account total costs I can see why even a small...
  3. L

    US equities daily (+ adjustments)

    Thanks a lot for new idea. However looking at the pricing for daily frequency data - it is comparable to daily data from Refinitiv, which also includes loads of other data point and all the support of a large company. So I think it is way too expensive.
  4. L

    US equities daily (+ adjustments)

    I'm not aware of a price data feed at $120/month for the use case in my first post (decade history for 1000s stocks, adjustments for corporate actions,...). Well, I may have seen cheap feeds but not from big companies so wouldn't know the quality. Re non-display fees: I would have used intraday...
  5. L

    US equities daily (+ adjustments)

    Automated but keep in mind that I aim for trading once a day at the same time for all securities, at or near the close. If by "non-display" feed you mean API, then yes.
  6. L

    US equities daily (+ adjustments)

    Out of curiosity, what are your costs for data feeds? For a decent price feed (daily standard fields and corporate actions and intraday price with 15mins delay - not high frequency) I expect $50k.
  7. L

    US equities daily (+ adjustments)

    https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html
  8. L

    US equities daily (+ adjustments)

    Yes that makes sense - own model for trading and a risk vendor for validation. I am surprised you say it is "cheap" though - isn't Barra like 80k/yr?
  9. L

    US equities daily (+ adjustments)

    For a risk model I'd rather use free risk factor data (Kenneth French data lab seems good quality) and fit my own model - I'm not aware of an advantage of using Barra (which costs a lot) for a portfolio of a few hundred stocks of US equities, which is a standard scenario already covered by the...
  10. L

    US equities daily (+ adjustments)

    Hi all, I am looking for US equities daily price data (history to present), with adjustments for corporate actions (adjusted close price taking into account for splits, dividends,...), ideally with corporate actions data itself too but not essential. The aim is to get a history of the top...
  11. L

    advice for equities startup

    Thank you. What about daily processes such as daily checks and reconciliation and corporate actions - I can imagine there are a number of manual tasks to do when managing a portfolio of 500 equities, do you agree? So I would expect one software engineer for the broker API management and possibly...
  12. L

    advice for equities startup

    Thank you. The strategy was tested in two ways, one with a simulation using slippage assumptions and the other with real money with much less than $50mill (the slippage was almost zero). So far, I am not aware that trading at the close for 500 big US stocks would be a problem. I am happy to be...
  13. L

    advice for equities startup

    Hi all, I am starting a hedge fund startup in the UK but have less experience on the order management side so I'd like advice from software engineers and traders. Here is the situation: - need to trade $50million in US cash equities at Market on Close only, 500 trades per day from stocks in...
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