Python is a dynamically and strongly typed programming language whose design philosophy emphasizes code readability. Two significantly different versions of Python (2 and 3) are in use. Please mention the version that you are using when asking a question about Python.

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33
votes
7answers
6k views

Is R being replaced by Python at quant desks?

I know the title sounds a little extreme but I wonder whether R is phased out by a lot of quant desks at sell side banks as well as hedge funds in favor of Python. I get the impression that with ...
21
votes
11answers
12k views

What is the reference python library for portfolio optimization?

Does anyone know of a python library/source that is able to calculate the traditional mean-variance portfolio? To press my luck, any resources where the library/source also contains functions such as ...
19
votes
8answers
7k views

What tools exist for order book analysis and visualization?

What tools exist for order book analysis and visualization? In particular, if one wanted to examine a limit order book and understand how it changes throughout the day where would you turn for ...
17
votes
9answers
13k views

Except Zipline, are there any other Pythonic algorithmic trading library I can choose?

Except Zipline, are there any other Pythonic algorithmic trading library I can choose? Especially, for backtesting?
11
votes
1answer
3k views

Correctly applying GARCH in Python

Problem: Correct usage of GARCH(1,1) Aim of research: Forecasting volatility/variance. Tools used: Python Instrument: SPX (specifically adjusted close prices) Reference material: On Estimation of ...
7
votes
2answers
415 views

What time series database can be used with Python and Pandas?

I'm looking for a time series database that can be easily used with Python and Pandas objects such as DataFrame, Panel... But these objects will always contains time series. Ideally I'm looking for ...
7
votes
2answers
103 views

Are there any integrated framework that I can back-test and paper/live trading in one place?

I'm trying to start working on a fully automated algorithmic trading system, and I'm a little struggling with the framework to use. The requirements I have in my mind are: Needs to support ...
6
votes
3answers
1k views

Generate tick data from candlestick

Is there software (or Python / R / ... scripts) to generate (pseudo) tick data from candlestick data. I have candlestick data (CSV format) from monthly timeframe (MN) to minute timeframe (M1) but ...
5
votes
1answer
174 views

Which Algorithmic trading library would you recommend for trading Bitcoin?

I am starting to do Algorithmic trading in cryptocurrencies using Python libraries. Most exchanges have RESTful API that make it easy to write you own code and get started. However, I would like to ...
5
votes
1answer
2k views

Historical volatility from close prices (Haug pg 166)

I have implemented a function for calculating historical volatility using close the close method as described by Haug on page 166. When I implemented the formula given by Haug, it resulted in some ...
4
votes
1answer
182 views

Why does regression capture differences in volatility?

I read the following statement in the book python for data analysis, chapter 11, and I was wondering if someone could give me intuition about why regression has this effect? The purpose of the ...
4
votes
1answer
1k views

Are there Python algorithmic trading libraries supporting forex?

I know about zipline and ultrafinance, but as far as I know, they don't support fx trading. Which libraries do?
4
votes
1answer
195 views

Wrong discount factors when finding Nelson Siegel Svensson model parameters

I am trying to determine the parameters for the Nelson Siegel Svensson model and am solving a Non- Linear Optimization problem to do this. Some of the code I have written is below and this is where my ...
4
votes
0answers
341 views

Rate Distortion Minimization in a Python Clustering Algorithm

I'm attempting to solve for $\hat{k}$ clusters, such that the rate distortion is minimized, as described here, however, the answers that I am getting from my algorithm are not following the "Jump" ...
4
votes
1answer
486 views

Moving window forecasting in Python

I am looking to create some code that will out-of-sample forecast the HAR-RV model. The model itself is formulated as the following, and the betas are estimated through HAC-OLS or Newey-West. ...
3
votes
2answers
3k views

Build a customizable trading engine in python [closed]

I am planning building fully customizable backtesting trading engine in python from scratch as a open source project, the main features i am considering is, It should be fully customizable from ...
3
votes
1answer
242 views

Shannon's entropy for financial times-series (return)

I'm looking at Shannon entropy, and generaly at ways to tell noise from signal when observing intraday returns (at the minute level for now). In python, e.g. I've implemented the fomula (sum of ...
3
votes
0answers
102 views

What is the best open source automated trading platform or options?

I would like a custom C++ Automated Trading Platform for Futures like Multicharts, or similar automated trading platform that I can put on my servers so its secure and fast. I have found this ...
2
votes
1answer
112 views

How to get the IMM dates in Python for a given symbol?

How can I get an IMM date from its 2 character symbol (eg. "U6", "Z8") in python? I have not been able to install the quantlib addin (it's hard if you aren't tech savy), so please don't point me in ...
2
votes
2answers
2k views

Calculating Bollinger Band Correctly

My bollinger band comes out like the below, which doesn't seem right. Any idea what is wrong with my code for calculating upper and lower bollinber bands? I obtained my data from here ...
2
votes
1answer
38 views
2
votes
2answers
294 views

Multivariate GARCH in Python

Is there a package to run simplified multivariate GARCH models in Python? I found the Arch package but that seems to work on only univariate models. I'd like to test out some of the more simple ...
2
votes
1answer
109 views

How to model bracket orders?

I'm looking for a way to make my own Python backtester (like zipline or pyalgotrade) or improve one of these backtesters. One major lack of these backtesters is the lack of support of bracket orders ...
2
votes
1answer
110 views

Bloomberg Python Question - How do you access PRTU via python?

I am having some trouble using python to access Bloomberg as I cant find much documentation. All I really need to do is a simple lookup of dates in the PRTU function of Bloomberg, PRTU via a python ...
2
votes
1answer
72 views

importing columns of returns data into python from excel/csv [closed]

I'm fairly new to the quant finance space, and I was hoping to get some guidance. Say I have a csv/excel file with columns of daily returns data for various asset classes or securities (one column per ...
2
votes
0answers
112 views

Finance Projects in Python [closed]

I am new to this forum. I work in the Market Risk Domain at a leading Investment Bank. I am currently learning Python. And the best way to learn is to experiment with some Real Live ...
2
votes
0answers
49 views

Black-Scholes explicit Euler implementation python

I've written some code for the explicit finite difference method to solve the BS equation. For certain sets of parameters (time-steps and asset-steps) I get a stable but wrong solution. For others, ...
2
votes
1answer
103 views

Quantlib FuturesRateHelper triggers not a valid IMM date error

I'm beginning to use QuantLib with Python SWIG, and trying to build a EUR yield curve. I face this error which frankly I don't understand; I looked at the code of bool IMM::isIMMdate in imm.cpp and ...
2
votes
0answers
92 views

Problem with Naive Bootstrapping (US Government Bonds)

I am using the formula here to determine the discount factor function and eventually the zero-coupon yields. I get the data for Coupons, Face Values and Closing Prices from Thomson Reuters, which I ...
1
vote
1answer
123 views

How to calculate bond yield in QuantLib - Python

I want to calculate yield of bond having market price and coupons. I try to replicate C++ from (https://mhittesdorf.wordpress.com/2013/03/03/introducing-quantlib-internal-rate-of-return/) in Python ...
1
vote
1answer
483 views

How can I calculate the Maximum Drawdown MDD in python

I need to calculate the a time dynamic Maximum Drawdown in Python. The problem is that e.g.: ( df.CLOSE_SPX.max() - df.CLOSE_SPX.min() ) / df.CLOSE_SPX.max() ...
1
vote
3answers
240 views

Building custom indices; getting data from web; stats analysis; Python or R?

I would like to build a couple of custom indices. I would like to be able to enter ticker(s) into an input and have ohlc, volume, qualitative ...data downloaded from yahoofinance, google finance, ...
1
vote
2answers
193 views

Calculating log-returns across multiple securities and time

I've been getting very confused on the topic of calculating returns. To get cumulative returns in time, log-returns are used, but apparently log-returns aren't used across different securities at a ...
1
vote
1answer
1k views

Python code to download historical firm data

I am looking for a Python code that scraps a website to download historical firm data such as market capitalization, dividend-yield, and so on. I have a code that downloads the current firm data from ...
1
vote
1answer
62 views

Strategies to merge bid, offer and trade price time series into a single price time series?

I'm doing intraday analysis on low volume stocks. There are just a few trades every day, but a whole host of bids and offers. In order to reduce the sparsity of the time series data I'd like to ...
1
vote
2answers
62 views

How can I find stocks that have had a X% price swing within Y days, sorted by recency of said swing? [closed]

Let's say that I want to find stocks that have moved +-20% within a 10 day period. ABC would match if at t, ...
1
vote
1answer
154 views

Broker or source of intraday futures data for a python API?

I am looking for a broker that offers a python API for downloading historical intraday data on futures. So far I have only seen Interactive Brokers and Tradestation. Are there some other brokers ...
1
vote
1answer
338 views

calculate YTD return / find first available datapoint of a year in python

I need to calculate the year-to-date relative return of a given dataset. I usually caculate the cumulative relative return with this simple function: ...
1
vote
1answer
1k views

How to get positions of your portfolio from Interactive Brokers with python ibPy?

I am using ibpy to get the positions of my portfolio. I understand that I can do: ...
1
vote
0answers
54 views

How to fit exogenous + GARCH Model In Python?

I am studying a textbook of statistics / econometrics, using Python for my computational needs. I have encountered GARCH models and my understanding is that this is a commonly used model. In an ...
1
vote
0answers
174 views

Formula behind pandas.Options() implied volatility

I noted that implied volatility (IV field) from pandas.Options class is very different (especially, for out of money options) than what I compute with Black-Scholes model. (risk free rate is pulled ...
1
vote
1answer
105 views

quantlib python : missing methods?

I'm reading Introduction to Selected Classes of the QuantLib Library I by Dimitri Reiswich and tries to "convert" it to Python. It seems to me that some C++ possibilities aren't available in python. ...
1
vote
1answer
471 views

Calculate and plot historical volatility with Python

I have downloaded historical data for FTSE from 1984 to now. What I would like to do is to graph volatility as a function of time. What I have written is: ...
1
vote
0answers
55 views

Issue with Naive Bootstrapping (US Government Bonds)

I am using the formula here to determine the discount factor function. I get the data for Coupons, Face Values and Closing Prices from Thomson Reuters, which I insert into the Dataframe ...
1
vote
0answers
98 views

bandwith portfolio rebalancing in python

I want to calculate a bandwith rebalancing machanism for a portfolio of two assets. As soon as the performance of one ov the assets gets bigger or smaller than the other one + a defined tolerance ...
1
vote
0answers
425 views

Implied volatility from American options using python

I am currently trying to construct volatility surface from american option prices (using Cox-Ross-Rubinstein tree) in Python 2.7. Below you can find the code I came up with. Any corrections would be ...
1
vote
0answers
234 views

How to implement the herding measure proposed by Lakonishok et. al (1992) in python

I would like to test for herding behaviour using the herding measure developed by Lakonishok et. al (1992) on a dataset containing trader transactions during 2013, however, i am having some trouble ...
1
vote
0answers
1k views

Black Scholes well coded Python

I have some trouble with the following code. Some jump and a decentered path are present but it's not the case, normally for Black Scholes diffusion ! Is anyone see a problem in my code ? ...
0
votes
3answers
241 views

Quantlib with python on mac?

Is there anyone who knows a good guide to get quantlib working for python om mac? I have tried to search online and have not found any good guidance. I need to use quantlib for a project on python. ...
0
votes
1answer
94 views

Calculating half life of mean reverting series with python

I am currently attempting to calculate the halflife of a mean reverting series using python programming language and the theory of the Ornstein–Uhlenbeck process. I have a series which when plotted ...