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  1. 2

    How Citadel harnessed the weather to claim hedge fund crown; Bold bet on commodities plays

    don't power/natgas follow the laws of physics? capacity, load, generation, builtin constraints
  2. 2

    AI For Trading?

    first, define AI
  3. 2

    How Citadel harnessed the weather to claim hedge fund crown; Bold bet on commodities plays

    how much weight do the weather forecasts provide?
  4. 2

    Crypto Arbitrage Platform

    Why does this do "pulls" every N seconds to get data? In any case, TT can do this
  5. 2

    Crypto Arbitrage Platform

    https://hummingbot.org/ Github.com/ccxt
  6. 2

    Christmas In March For Price TA Trader Wannabes

    does the chart need to be related to what you're trading? does it need to be ohlc bars or candles? how many dimensions should there be?
  7. 2

    How the world’s biggest oil trader makes his billions – Vitol Group. Part 1

    should read King of Oil about Marc Rich. Or if there is anything modern day nat gas/power trading
  8. 2

    How feasible is algorithmic trading?

    isn't a graphical pattern a purely mathematical one in itself?
  9. 2

    Bad Economics: College degree’s & Income inequality

    for "elitetrader's" some of you don't sound like the free market
  10. 2

    Old, dusty ETH wallet holds 400 MM

    is that how you calculate PnL?
  11. 2

    Convertible bonds the best instrument to learn about the markets?

    Best to understand the bare bones basics then can understand more structured products
  12. 2

    How to trigger a function when a new minute bar comes in.

    The function needs to get historic data
  13. 2

    Why are bearish markets bad if there are future contracts?

    no catch. you can think of it as bullish with respect to the denominator. in this case bullish on $ vs bitcoin
  14. 2

    How to trigger a function when a new minute bar comes in.

    def your_function(): magic() onBarUpdate += your_function the += adds your function as a listener to the onBarUpdate event
  15. 2

    Big tech job cuts, 70k jobs gone

    typical team makeup at a tech giant or enterprise: product owner product manager scrum master QA (2 people) DEVs (4 people) DevOps (1) some people are on multiple teams but really only a few people produce anything. My guess is the first 3 listed are the ones let go
  16. 2

    Big tech job cuts, 70k jobs gone

    they were automated :cool:
  17. 2

    Why Are There So Few Exchange-Traded Bonds Compared to Dealer-Sold Bonds?

    What bond trades on an exchange?
  18. 2

    I'm looking after a reviewer for my trading system

    1 year CDs are 5%
  19. 2

    We should ask ChatGPT to build a profitable trading system

    things have advanced in 20 years in unsupervised learning space. deepmind built a creative GO player with many unconventional moves and beat the world's best
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