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5

Some approaches Use only common points - Exclude all holidays in any index. Reduced sample size Loss of information No 'made up' data (consistency) Fill forward - use previous day as you suggested. Issue here is that jumps in the market over holidays are recorded as zero change then a big change. Linear interpolation - linearly interpolate the price ...


4

There are a few exclusions that I have commonly seen: Excluding thinly traded stocks. The price that shows up in your data feed may not relate to actual tradable prices. Filtering for ADR/Pink locals. You can find stocks listed in multiple places in ways that would lead you to think that they are great for pairs trades when actually they are the same ...


4

OptionMetrics has its flaws but it has been widely used in economics/finance research. Regarding the Constantinides, Jackwerth and Perrakis (2008) paper I am unsure what their concern are. The Binsbergen et al. comment is easier to address. They basically have a confidential dataset that they use to estimate dividend strips. To do so, they need put call ...


3

There is plenty of OHLCV 1-minute data on cryptoarchive.com.au along with tick data as well.


3

Short answer You will have to build it yourself. Reference to StackExchange question regarding data sources to build it. What are the most comprehensive APIs for cryptocurrency market data? Example Resources ( I have no affiliation, just first result on google) https://www.coinapi.io/


3

Try Quandl - should be enough to get this for free, I believe.


3

Just for future visitors of this post: You can also buy VIX option data directly from the exchange where they are traded, the Cboe: [https://datashop.cboe.com]


2

I have used https://www.tickdata.com/ and https://www.quantgo.com/ I enjoy the simplistic nature of obtaining data that they use, so for someone new to quantitative finance like you, I recommend that you try them. https://www.quandl.com also have excellent quality data, easy to use APIs


2

I want to share my recent experience with QuantQuote. Long story short: just don't buy anything from them. I put in my purchase and shared my credit card. I ordered 10 years of SPY minute data. A few days later I received last months data of random stocks. After realizing that I received the completely incorrect data, I emailed and called just about ...


2

In other words, what you are looking for is a Tick data. It needs resources to catch this data and so it won't be available for free but its available on demand from some websites. I refer you two of them here Intrinio and Tick Data


2

These URLs should not have changed. Note, however, that you may sometimes get one of these I'm not a robot captchas. So if you are loading the returned data programmatically (say, via Python), then you may run into issues when Google randomly slips in one of these captchas.


2

Welcome to fixed income data problems padawan! I mean, if you really wanted to, you can convert it. But the problem is the that a lot of these prices are lagged by varying measures with inconsistent updates and inaccurate from market convention prices outside of a few sources. Only way I've obtained what you are asking for is asking my friend at a bank to ...


2

If you looking for historical data of a stock. I will recommend you these three websites: Yahoo Finance, Wall Street Journal, and Investing.com


2

You dont need to buy data if you need any stock from NYSE or NASDAQ. There are plenty options available as your tick time is not so small(1 hr). 1. As suggested by @ eSurfsnake you can try pulling hourly data from Quandl with API(Free). 2. Alphavanatge API is free for smaller tick time also. For your reference Alpha vantage API Not working for NSE while ...


2

No. I’m watching the management of a penny stock manipulate its share price by announcing a reverse stock split and yahoo hasn’t adjusted its prices going on a week and a half. The algorithms thinks it’s a huge breakout and are buying. There’s plenty of opportunity to pickoff bad data.


2

There's a field of study called Statistics, which to a large extent tries to answer questions like that both in a financial setting and in experimental sciences. Try to read something about it. To your question, yes, people use the historical data this way, but usually, they perform a more rigorous statistical analysis, than just counting the number of times ...


2

If your model is only relating to historical price data of that single stock, then the model wouldn’t be useful. Historical price data is stochastic, and a lot of theory in financial mathematics is based on this idea, meaning the expected value of a stock at any point in the future has no memory of (and is completely independent of) past prices.


1

This is the ticker information for Eurexchange Index Dividend Futures This is the information for EURO STOXX 50® Index Dividend Futures (FEXD) Enter those into BBG or Reuters to get historical data. Source Contact Deutche Borse for historical data 404 on their historical data shop. Email them Email hdp@deutsche-boerse.com


1

I don't know of any single dataset that encompasses everything you're looking for, even including the standard heavyweight commercial sources (which cost $250k+ per year). Equity data is typically distinct from ETF data, and fundamental data is typically separate still. High-frequency data is a different animal beyond those (eg, 1-min bars). It kind ...


1

Use the Bloomberg Excel API and download the data using the Spreadsheet builder function in Excel. Firstly, select historical data in the spreadsheet builder, secondly type in your desired index using it's Bloomberg Ticker. Then you select PX_LAST, which gives you the last closing price. Then you specify your timeframe for which you'd like the data and data ...


1

Many of the exchanges only have five minute minimums, so simply retrieving the one-minute candle would be impossible with a simple API call. However, you can set up a a program (using CCXT) that polls the exchanges every minute and collects all the relevant data that you may need. From there, you can recreate the one-minute candle that you desired initially. ...


1

Yes you can build holiday calendars using Pandas, see here: Pandas Timeseries Docs But you don't really need it here, just create a DateTimeIndex from your given column and lookup the specific date in the list: import pandas as pd df = pd.DataFrame(data=[['2018-08-03', 206.3064], ['2018-08-06', 207.2730], ['...


1

If you are looking into buying these data sets you should probably try https://bravenewcoin.com , https://www.coinapi.io/ and https://www.quandl.com . They are currently the ones you could try other than what has been mentioned above. It's a little hard to get such datasets for free, especially if they are clean. Most of the time you'll have to part with ...


1

Just came across this https://coinmetrics.io/data-downloads/ and https://coinmarketcap.com/currencies/zcash/ c I think have what you are looking for.


1

https://www.quandl.com and https://www.tickdata.com/ have really comprehensive market data both intraday and end of day data. They have data for both America Exchanges and European Exchanges plus other exchanges around the world. You can try out their APIs and see if they will suit your needs. I am sure there are also other new vendors who could be offering ...


1

You can find historical currency options quotes in WRDS . In WRDS, choose the option for Philadelphia Stock Exchange (PHLX) and then currency options. Make sure you have a WRDS account in order to access the data.


1

Download this application. It provides free LIBOR and Swap historical data covering 3 months, OIS and basis for all major currencies. https://finpricing.com/download.html


1

Although is an old question, but here's the list


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