On the chapter about Editable DataTable
we can find this :

This chapter includes recipes for:
    Reading the contents of the DataTable
    Filtering out null values
    Uploading data
    Determining which cell has changed 
    Adding or removing columns
    Adding or removing rows
    Clearable, deletable, renamable, and hideable colum

I think we should keep dependencies in requirements.txt, and we should read dependencies from requirements.txt instead of keep another copy in setup.py.

我们会在这个 Issue 中持续 refer 比较典型的 Issue，也希望您能持续通过 issue 来与我们讨论各种问题，这样都可以为其他人提供参考，也避免我们重复回答同样的问题。

• 如果您刚开始接触 RQAlpha 请先阅读文档 http://rqalpha.io
• 如果您在使用过程中遇到了问题，请先查看下文罗列的FAQ是否可以解决您的问题，或者您也可以利用 Issue 的搜索和过滤功能来试图找到类似问题的讨论。
• 如果以上方式仍然没有解决您的问题的，请您 创建Issue, 按照创建时给出的规范模板来描述您的问题
• 善用截图功能，github 上是可以在 issue 的提问和回复中直接 ctrl + v 来上传图片的，很方便。

RQAlpha 2.0.0

I am very new to ta-lib.

Here is a very stupid question about the documentation. Can anyone direct me where exactly is the detailed documentation? For example, the following shows BBANDS has MA_Type.T3, which means BollingerBands will use EMA instead of SMA. But I can't find the description about BBANDS and MA_Type anywhere.....

upper, middle, lower = talib.BBANDS(close, matype

Expected Behavior

Be able to send Web notification with headers.

Actual Behavior

Not supported.

Potential Solution

Add IEnumerable<KeyValuePair<string, string>> headers to NotificationManager.Web:

public bool Web(string address, object data, 
    IEnumerable<KeyValuePair<string, string>> headers) {
}
public bool Web(string address, object data, 
    PyOb

It would be nice to have some general developer documentation for potential contributors to help in cases such as #510, etc.

What are the best steps to take towards accomplishing this? Maybe something similar (albeit not all details needed) to the Pandas developer docs?

I've begun an implementation of this on my fork, basicall

I recently tried using the Intra-Bar MicroStructural Features using the MicrostructuralFeaturesGenerator class. I found that it takes a very long time to process even on 2-3 month of tick data. Finally, after some exploration of the code behind I came to understand that the entropy feature function excluding Shannon's Entropy function takes the most amount of time.
The entropy features contain on

This isn't really an issue, this is just a request

I am trying to learn how to build microservices with CQRS, ES, reactive programming and messaging, I have a good understanding of the theoretical part but there isn't much hands-on examples about this subject.
Reactive Trader Cloud is the most complete app that I could find which implements all these concepts (and much more), I am

Problem Description

The function description documentation for alphalens.performance.factor_alpha_beta says "Compute the alpha (excess returns), alpha t-stat (alpha significance), and beta (market exposure) of a factor. "

The return documentation says "A list containing the alpha, beta, a t-stat(alpha) for the given factor and forward returns."

I am assuming "a t-stat" means "and t-sta

Heston model has accurate density approximations for European option prices, which are of interest.

The module implementing this method should live under tf_quant_finance/volatility/heston_approximation.py. It should support both European option puts and calls approximations. Tests should be in heston_approximation_test.py in the same folder.

Hello,
i'm writing to signal mmex crashes when I open reports
Summary of accounts
both monthly and yearly.
Let me know if you need more information about.
Thanks

Skill Set Challenge!

Hudson & Thames has provided the following skillset challenge to allow potential researchers to gauge if they have the required skil

Clearly describe the data problem

The documentation says this is the result to expect

 {
        "symbol": "AAPL",
        "exDate": "2017-08-10",
        "paymentDate": "2017-08-17",
        "recordDate": "2017-08-14",
        "declaredDate": "2017-08-01",
        "amount": 0.63,
        "flag": "Dividend income",
        "currency": "USD",
        "description": "Apple decl