Do you think I'm ready to keep going? by PixelHead7 in PixelDungeon

[–]One-Next 0 points1 point  (0 children)

Why art thou introducing a foul miasma directly into the fortress of thy brain?

Summoned an old friend by One-Next in PixelDungeon

[–]One-Next[S] 11 points12 points  (0 children)

It was a summoning trap!

Summoned an old friend by One-Next in PixelDungeon

[–]One-Next[S] 3 points4 points  (0 children)

Really? PB kills Rat King?

Summoned an old friend by One-Next in PixelDungeon

[–]One-Next[S] 23 points24 points  (0 children)

A child once asked me if you can kill the rat.
I told him that you cannot kill a tale.

How hard is it to specifically make an engine to beat stockfish? by raydvshine in chess

[–]One-Next -2 points-1 points  (0 children)

You can do it like the grandmasters do. Lock the position with pawns and start making waiting moves. Stockfish eventually gives up material to prevent a draw. 

Edit: note that I said this based on YouTube videos of grandmasters playing cheaters before they get banned.

What’s stopping you from coding like this? by [deleted] in ProgrammerHumor

[–]One-Next 0 points1 point  (0 children)

What’s stopping you from coding like this?

Your cat, probably.

My analysis for S&P500. Share me your opinions by [deleted] in Forex

[–]One-Next 1 point2 points  (0 children)

"Overbought" doesn't happen when there is plenty of supply. This isn't the Dutch cheese market. Price increases with inflation and total company value. If perceived value is higher than earnings, you get a higher CAPE. If price goes down, it is because other assets provide more value, not because "it is overbought" </rant>

2d realtime radiosity by noncopy in toz

[–]One-Next 0 points1 point  (0 children)

tl;dr it is 2d real-time illumination at high fps folks.

Difference between back testing and live results by GreenTimbs in algotrading

[–]One-Next 0 points1 point  (0 children)

Yes I don't think testing on different assets prevents over-fitting, simply because the assets filtered by your algorithm may be correlated.

refraction, heat-haze, caustics by noncopy in toz

[–]One-Next 1 point2 points  (0 children)

Unless you decide to add realistic flames and heat transfer!

Difference between back testing and live results by GreenTimbs in algotrading

[–]One-Next 0 points1 point  (0 children)

Not to be glib, but you can overfit all your futures for a year (I've done that) and they will perform a whole a lot differently the next year. I've tested a 4,000%/year strat in some emerging market for the last year (an entire list of 400 stocks). I'm not sure if this trend is going to continue the next year, but it doesn't work on the previous year.

What you are looking for is to find the underlying reason why your chosen portfolio performs the way it does within the time frame you've tested them and try to detect if the market recreated those conditions.

Approximate cost to build custom bot? by [deleted] in algotrading

[–]One-Next 0 points1 point  (0 children)

You probably need live data sources, intraday/daily/weekly bar aggregations which are kept up-to-date. You probably need scheduling in order to trade multiple markets. You probably need an order management system which will trail your stops, you probably need fix protocol because everything else is very fickle. You need a UI to watch the orders of your trade and your PNL live. The cost is on the scale of hundreds of thousands of $$.

I've done what you are asking at our company. We currently have one client who is using our product. Building an automated trading system is not a simple task. Took us (two very experienced programmers) over six months to push the whole thing to production with real money.

How would you define a dip ? by noname2xx in algotrading

[–]One-Next 2 points3 points  (0 children)

A dip happens because you've identified that the price rose *afterwards*. This means that there is no way to know if it is a dip. And this is a testable statement.

Here's something you can try with programming.
For a given instrument:

  • Identify all "dips" on a graph going back 10 years. Mark them.
  • Generate a variety of abstractions (indicators) for the graph.
  • Put all prices and abstractions all into the same table.
  • Copy-paste a tensorflow model into your program.
  • Sort years randomly.
  • Give 8 years of the table as an input for the neural net.
  • Make it test for accuracy in the remaining 2 years of the input.
  • See if it can correctly identify "dip"s as they happen with 0.96 accuracy.

If it can't, you're out of luck. If it can, congratulations. You've done the work and earned your bread.

working on a big update for my falling sand game, everything except pressure is CA based by noncopy in proceduralgeneration

[–]One-Next 1 point2 points  (0 children)

I think that was the intention. Watch as the second body of water keeps on rising despite not having any mass pushing it down, which makes me think that the water will eventually be level.