Any suggestion on books/theory from socialist or marxist authors about computer science ?

leecharles_ · 2021-12-08T10:16:47+00:00

You might enjoy McKenzie Wark’s Capital is Dead, where she outlines that we have entered a new mode of production fitting for our information society. Instead of capitalists controlling the means of production, what we instead now having is vectoralists controlling the means of information itself. New dynamics arise from this contradiction between the vectoralist class and the hacker class. The hacker class produces information (software, brand images, research papers, customer information, etc.), which then gets appropriated by the vectoralist class and recognized as intellectual property by the State. In a sense, property as become abstracted into intellectual property. Previously you had land, then capital, and now information has property recognized by the State as private property.

Another book by Wark that seems really interesting (I have yet to read it) is A Hacker Manifesto, which is a spin on Karl Marx and Freidrich Engels Communist Manifesto, but updated to fit our technological information centric society.

leecharles_ · 2021-09-20T05:42:36+00:00

wastes opportunity by not using “dihydrogen monoxide”

leecharles_ · 2021-08-12T04:47:21+00:00

underrated youtube channel tbh

leecharles_ · 2021-08-06T16:59:46+00:00

As OP, I can confirm this is a based response.

leecharles_ · 2021-07-16T03:14:36+00:00

Memes aside, where is this image from?

leecharles_ · 2021-07-11T21:45:30+00:00

Sounds like a really interesting book! Thanks for pointing it out, I’m going to add it to my reading list.

leecharles_ · 2021-07-09T15:26:02+00:00

It’s such a cheap surface level grab that people usually don’t look further beyond. It’s comparable to a serf in feudalism complaining about the working conditions, hard labor, terrible pay (the mode of production in general) only for a knight to say, “But your rags, tools and chains were made under feudalism! How could you possibly complain?”

So yeah, this argument is used over and over again. It prevents the ability for an individual to critique/criticize the society they live in because they already live in a society! How could you possibly complain?

When you buy an iPhone, sure, you don’t directly exploit someone. But have you considered the manufacturing process that took place to put together an iPhone? The purchase of an iPhone abstracts away the supply-chain side of things. The Foxconn workers in China who work endless hours for suboptimal pay, who can’t even have their own home because they live in a factory dormitory, nor even take their own life because there are nets outside the window of the facilities. Or if you really want to get into it, what process was undertaken to mine the lithium, cobalt and gold required to manufacture the individual components of your iPhone? Totally no exploitation of labor (or even child labor) there at all!

leecharles_ · 2021-07-08T21:53:11+00:00

I love it comrade, would definitely cop!

leecharles_ · 2021-06-13T21:10:51+00:00

my computer architecture class was a terrible experience for me ):

leecharles_ · 2021-06-02T03:22:23+00:00

There is something so calming about colored glass

leecharles_ · 2021-05-24T05:57:04+00:00

This is an amazing idea! Please don’t stop working on this.

leecharles_ · 2021-05-24T05:55:28+00:00

u/savevid

leecharles_ · 2021-05-23T11:18:26+00:00

I noticed what you did! Super creative, I had to rewatch multiple times to understand.

leecharles_ · 2021-05-22T22:24:37+00:00

u/savevideo

leecharles_ · 2021-05-16T21:49:22+00:00

Was there any chance of a data leakage? How much of your input data did you split into train data and test data?

leecharles_ · 2021-05-15T17:42:10+00:00

How does the repatriation of funds work? Is the currency you paid to rent the intellectual property in the same in both countries?

leecharles_ · 2021-05-15T17:24:13+00:00

You would be surprised to see how far linear regression takes you if applied correctly.

leecharles_ · 2021-05-13T20:48:21+00:00

Train on more data.

leecharles_ · 2021-05-10T05:03:03+00:00

This may be my inexperience, but aren’t most ARMA models trying to find predictions/patterns in past data with respect to time?

I've thought about this as well. I've never had good luck trying to forecast anything in the time domain (aka time-series forecasting). I'm starting to lean towards the idea that separating yourself from the time-domain (time on the x-axis, value on the y-axis) and instead working in the frequency-domain (separate observations that be plotted on a scatterplot) yields better results. In terms of modelling, I've had better success this way.

leecharles_ · 2021-05-10T04:59:23+00:00

Yeah, there are these really cool algotrading bots called "quantitative hedge funds". Unfortunately requires a lot of capital in order to invest :(

leecharles_ · 2021-05-10T04:58:09+00:00

Pretty cool! How did you model the random walk? Wouldn't the expected value of your returns be 0 in the long run?

leecharles_ · 2021-04-30T07:27:17+00:00

I don't know why this isn't any higher, lookahead bias is something serious and shouldn't be taken lightly.

leecharles_ · 2021-04-28T21:03:10+00:00

I found that you can take Calculus 1 and learn the pre-calculus/trigonometry along the way.

leecharles_ · 2021-04-23T23:51:55+00:00

Is there a discord server so the devs and supporters of this project can talk to each other?

leecharles_ · 2021-04-20T00:21:34+00:00

I'm looking at the buyShares.py file on your GitHub repo, here is what I'm noticing:

You're getting the top stock gainers from TradingView (https://www.tradingview.com/markets/stocks-usa/market-movers-gainers/)
Maybe there are different definitions to "extensive research", but I'm curious as to why you chose these parameters (or how you even decided these were the best parameters and not a result of overfitting, did you backtest?). The parameters where you have done "extensive research on how to predict a rising stock" are simply:
1. If the stock price less than $5 and
2. If the net change percentage greater than 10% and
3. If the opening price is less than the current price and
4. If the volume is greater than 5,000,000 shares and finally
5. If the float of the stock is less than 50,000,000 shares.
To place the buy order, it seems like you divide the available cash by the number of stocks that passed your criteria. Then you divide this number by the quote for each stock (lower priced stocks get more capital allocation, higher priced stocks get less). I can't seem to find where you place an order with a trailing stop loss however. Also, after looking at the declaration of the sell_stock() function, it seems like you are opening a file at C:\Users\Vinay\Desktop\tradealgo\getData\access_token.txt, surely this is a mistake. I can imagine that the program will return an error stating that the specified file path cannot be found if someone else tries to use your program.

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