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Where to get historical intraday stock data?

I hate to ask questions that have been asked before. But I am afraid that this is one of them. I have searched the web for days now, read so many forum posts. But I can't find an answer. Most answers about historical intraday data were about sites that offer historical futures and options, but I don't need those (btw. why would you want to use options data, which is derived from the stock data, instead of the actual stock data?).
What I need is historical intraday stock data: At least S&P 500 stocks, dating back 5 years, 30 minute interval (or smaller), a weekly update, OHLC would be nice, but only one of them (close for example) would be sufficient. I need to be able to download the raw data, that means that I can't use something like Quantopian. So the data either needs to be downloadable (like a ZIP folder) or have a python API, so I can download it with the API.
I know, something like this is not free, I would be able to spent up to about $50 a month. I am still a student, so I can't afford much more than that. What I found so far is Kibot and QuantQuote.
Kibot: They seem to have a bad reputation. It seems that their stock data is either inaccurate, or incomplete. I just don't know if this still applies to the last 5 years. Since their data dates back to 1998, I could imagine that they had issues in the beginning but fixed them since they have been in business for more than 20 years. Their Standard subscription costs $49/month and includes 1 minute intraday data for all their symbols (6500 stocks, + ETFs, Futures and Forex) with a weekly update dating back 1 year. So I would also need to purchase once their historical S&P 500 data with a 30 minute interval, dating back to 1998 (I would need 2015 and up) for $150.
I can handle slightly inaccurate data (for example if the pricing is off by 0.5% or something like that), but missing data or inconsistent data (for example if instead of a constant 1min interval, it sometimes jumps multiple minutes) is a problem.
QuantQuote: They are expensive, too expensive. I would need to purchase once their S&P 500 package for $895 and then $50/month for a weekly update. They seem to offer the same as Kibot, but for a much higher price and with a higher quality (I assume).
It would help a lot, if you could say something about Kibot or Quantqote, or just about buying historical intraday data. Maybe you know better sites? Or do you know where to look or ask?
Any comment is appreciated!
submitted by rndmnewguy to Trading [link] [comments]

How can I get this code to work, I want to have a closure function return an object to access private functions?

Ok so I am pretty new to Go since I have been learning for about 2 days, so I apologize for the super basic question.
So anyways right now I am trying to build a micro service that streams fake simulated stock data via web sockets to a client. The data used is essentially a months worth of historical m1(minute bar data) i got here. The data is stored in redis as a JSON object that is an Array of floats [1081.8, 1101.2, 1060.1, 1090.2] which is the exchange rate of EUUSD (multiplied by 1000) of that current minutes Open value, Highest value, Lowest value, Closing Value, but I stream these points 10 times a second from a Node.js service I spun up, the timestamps are created on the client side since it's a simulation.
Here Is what I do with the data Fake early build of sample trading platform
For the Go Service here is what I have:
This is the Main package on github
This is the closure object thing I am trying to make SymbolSock I uploaded it in github so that comments are easier to read, since it explains what each function/struct does.
symbolHandler explained:
When a client sends in a request to subscribe to a Feed such as GBP/JPY a new struct instance is created called symbolPush
type symbolPush struct{ symbol string clients int feed string lastV float32 atIndex int } 
a SymbolPush instance stores an index atIndex which is the index of the shared dataset, it's symbol (which is like it's namespace/websocket channel) and the last closing price.
Also I have a scale-like case class: Which is used by a function I append to the symbolPush struct to send out an instance to be eventually stringified like this conn.WriteJSON(the return value)
 type seriesPoint struct { Symbol string `json:"symb"` LastValue float32 `json:"lastVal"` MinValue float32 `json:"min"` PointData OHLC `json:"data"` } func (s *symbolPush) GetPoint() seriesPoint { s.atIndex++ lastVV := s.lastV if(s.atIndex == (len(dataPoints) -1)){ s.atIndex = 0 } //index 3 is the close value s.lastV = dataPoints[s.atIndex][3] minVal := dataPoints[s.atIndex][2] return seriesPoint{ Symbol: s.symbol, LastValue: lastVV, MinValue: minVal, PointData: dataPoints[s.atIndex], } } 
Now right now it's obvious I am not returning anything that can be used from symbolsock since last night I deleted my old code since it wasn't working and just left it incomplete since I feel I would like to hear some input before I do a sloppy solution.
What I want to have returned from symbolsock is essentially an object that can do this:
Step1:
call the closure function with the JSONblob and return an object like seriesSockets := symbolsock.SymbolStream(theData)
Step2:
Use this object to seriesSockets.joinStream("APPL") which will call newStream function in symbol sockets, either creating a new struct or incrementing the clients field.
Also:
signal when a user has unsubscribed to a feed, which will delete the feed if clients == 0
Also:
get a point from these structs to be broadcasted to subscribed clients like seriesSockets.getSeriesPoint("APPL")
So my main question is how can I return an object like seriesSockets that accomplishes these things?
Oh here are the Go Playgrounds: main symbolSock
Also for readability here are is the github repo
Thanks!
Also I should mention I asked a question earlier which I will get back to once I have more information, but they're related.
submitted by TheBeardofGilgamesh to golang [link] [comments]

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OHLC Forex.wmv

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