For questions dealing with market data sampled at high frequencies, such as tick data and intraday data.

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15 views

Are there good off-the-shelf coding implementation of trade classification algorithms?

Including Lee Ready and bulk classification methods, as well as any other method. To be clear, I'm asking for code, not just a description of the algorithm.
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0answers
10 views

Is order flow imbalance more or less correlated with price movements at slower frequency?

Suppose I define order flow imbalance as volume(aggress buy)/volume(aggress sell), or some variant of that. Is this variable more, or less, correlated with price movements when I sample less ...
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1answer
56 views

Free high resolution financial data

As thebonnotgang(1) stopped updating their database, I was wondering if there are some other free sources of high-frequency data available. I found a proper tick data api (ca. 25 day history) hosted ...
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0answers
45 views

Estimating Daily Dynamics using Hourly Data

This article gives a nice outline of how daily data can be used to estimate cointegration on a monthly horizon. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1404905 I'd like to use the same ...
0
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1answer
66 views

Aggregating Tick Data

I have Level 1 data that has already been aggregated into 0.5s buckets by the exchange. I'd like to further aggregate the data into hourly and daily buckets. I plan to do this by simply taking a ...
5
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1answer
121 views

High frequency trading and trading costs

What kind of deals do high frequency traders have with brokers or exchanges regarding commissions for stock trading? For an individual, it is nowadays possible to get to as low as 10 basis points per ...
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0answers
36 views

Observing bid-ask bounce in high frequency stock data

I have a series of 1-minute return data for an unnamed stock, a sample is provided below, in order: ...
3
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0answers
76 views

Order Book Dynamics

I have been following this paper: http://arxiv.org/pdf/1104.4596.pdf The model is especially pertinent as I only have access to L1 data. The model is clear and intuitive and I have implemented the ...
2
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2answers
176 views

Forecast of volatility

What are the well known methods for forecasting (daily - weekly - monthly) volatility of a stock price? How about a bond price? Let's say I have in my disposition the price time series at a very high ...
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0answers
67 views

Match different option high frequency databases

I downloaded the “E-mini S&P 500 (Dollar) Options for 1/10/11” Top-of-Book (BBO) data. If you are interested you may download the data from the following link (approx. 80MB zipped and 1GB ...
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2answers
161 views

Logistic Regression of tick data

I've been given some data (it's financial tick data) and I want to predict based on some observed variables whether the next move will be up, down or unchanged. So I have been trying to use ...
0
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0answers
31 views

Integrated Volatility in Diffusion Processes vs Volatility of Discrete Processes

In a Diffusion Process of the form $$dX_t = \mu(X_t)dt + \sigma(X_t)dW_t $$ the Integrated Volatility is defined as $$IV_t = \int_t^{t+1} \sigma^2(X_s)ds.$$ In this case, the Integrated Volatilty ...
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1answer
26 views

Order ID or Broker information from TAQ or Limit Order book?

Is it possible to see if a big order was executed in smaller chunks, and at what prices and times?
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1answer
47 views

impact model what volatility to use

I am looking at the market impact paper here (http://www.cims.nyu.edu/~almgren/papers/costestim.pdf) and I had a question about volatility on page 11. On page 11 it is stated: "For volatility, we use ...
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0answers
63 views

Assets cointegration: optimal inventory for futures market

I'm interested in HFT cointegration stratagies, and recently found interesting article "Algorithmic Trading of Co-Integrated Assets" The article describes mean-reversion strategy for N-assets. ...
4
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0answers
59 views

Are there academic papers on the 'term structure' of adverse selection for futures and options?

By term structure I mean a non-stationarity in the pattern of intraday adverse selection as a given instruments approaches its expiry. Note that I am interested in the adverse selection on the ...
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3answers
88 views

Buy side techniques

I was speaking with a friend of mine about what techniques are used for quantitative investment management, and he told me that, when assuming active positions on the market, even in high-frequency ...
4
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0answers
202 views

How to forecast high-frequency data?

Introduction: I have seen a plenty of articles/books regarding volatility forecasting applied to high frequency data, but none of them were dedicated to forecasting the actual prices (for example ...
5
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2answers
258 views

How to calculate volatility on intraday data?

I have several weeks of minute-by-minute stock data (start and end prices, volume). Everything I've read so far leads me to believe there isn't a standard method for volatility, which is leaving me ...
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0answers
42 views

labeling high frequency signal data

Was curious if anyone has methodologies they can recommend for systematically labeling (discrete) signals generated from intraday tick data for use in classification or detection models ?
2
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1answer
296 views

What are some quantitative trading strategies used by high-frequency trading companies to make a killing on a market crash day on 24Aug2015?

http://blogs.barrons.com/focusonfunds/2015/08/24/high-frequency-trading-firms-just-made-a-killing/ Virtu Financial (VIRT), the high-speed trading firm that went public earlier this year, was one ...
7
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2answers
303 views

HFT to blame for Flash Crashes?

Some people 1, 2, 3 claim that High Frequency Trading is partly to blame for the extreme volatilities in the markets yesterday (24. August 2015). Is that true? Is the amount HFTs move even enough ...
0
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1answer
218 views

Realized Volatility vs. Standard deviation of log returns

I am interested in calculating high frequency 5-minute intraday volatility. I am going to use the standard Realized volatility which is the square root of the sum of squared log returns. Given X is ...
4
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1answer
190 views

Calculating 6-minute, 20-minute, 45-minute, and 3-hour volatility

I am looking to measure the volatility from the open of the market until a trade takes place and use that volatility in post-trade regressions to help explain transaction costs. A simple regression ...
0
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1answer
53 views

Interpreting and scaling of Realized Variance with sample data

I have some question about realized variance(RV) and I have some sample prices below to work with. You can run the R code below to build a vector of log returns. Three are 78 5-minute buckets in a ...
2
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2answers
236 views

How to interpret Realized Volatility and TSRV using R

I am looking at some high frequency data and I would like to know how to interpret and compare Realized volatility (RV) and Two Scale Realized Volatility (TSRV). References below. Given X is the log ...
3
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1answer
134 views

What is the best data structure/implementation for representing a time series in C#?

I'm looking for a tick by tick high performance container. So far I've been using List where Tick is a simple struct with a DateTime and double field. I'm using Linq for date lookups but it's ...
3
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0answers
101 views

Fitting High Frequency Indicators

I have a high frequency time series of the bid and ask prices of a stock recorded on every tick. For each data point I also have a certain indicators that predict the future movement of the price. The ...
5
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2answers
91 views

What are Sell Imbalance-Only Orders?

I am reading the 2014 SEC filing against Athena, a HFT firm. (http://www.sec.gov/litigation/admin/2014/34-73369.pdf) At point 29, they describe the behavior of Athena moments before market closing ...
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1answer
60 views

Regression model syntax

I'm following the methodology outlined in Developing High-Frequency Equities Trading Models. On page 27, the author outlines an OLS regression model to obtain beta coefficients. The model is defined ...
2
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1answer
185 views

High frequency price forecast model ARMA GARCH or another?

Can you reccomend model for high frequency data (1 second and less) (returns and volatility forecasting)? Most papers use ARMA, GARCH etc in 1 minute and lower time frame. PROBLEM ARMA does not know ...
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0answers
99 views

Estimating the next tick movement in Chinese markets

I'm working on high frequency trading in the Chinese Futures market and I've been having a bit of trouble with getting orders to go through due to the lack of liquidity and large fluctuations. To ...
2
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1answer
90 views

Determination of Quote / Trade Ratio

What is the common criteria used to count a quote or trade in reference to the quote/trade ratio? Criteria: If it beats the best bid or offer. If it adds size to the best bid or offer. What if the ...
2
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2answers
360 views

HFT Architecture

Im an undergrad student trying to become more familiar with how HFT works. In specific, I was wondering what kind of hardware they use and how each piece contributes to the system. I've been led to ...
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1answer
140 views

Can you explain me these comments on high frequency data?

I was reading some slides on high frequency data and i came across these statements: data discreetness induces high degree of kurtosis and Non synchronous trading and risk premium are ...
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1answer
107 views

Online algorithm for selecting smoothing parameter?

In Online Algorithms in High-frequency Trading the authors demonstrate online, exponentially-weighted algorithms for mean, variance, and linear regression. The authors estimate their smoothing ...
1
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1answer
463 views

Feature for Maching Learning(SVM) in High Frequecy Order Book?

I am trying to implement machine learning to predict the movement of bid and ask price but is unable to find the proper feature for training set. I am using Support Vector Machine for binary ...
-1
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1answer
136 views

Why didn't my order get filled?

So I placed an offer to sell a few liquid options on an already illiquid stock the other day. I put an offer to sell a deep OTM put, the market makers who had their offers in place had, lets say $1, ...
2
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0answers
75 views

Adjusting for your own orders in future backtests

I was asked this question in an interview and despite thinking about it for a while, I haven't been able to come up with a good answer. Suppose you have a strategy you are running where at certain ...
3
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2answers
86 views

Longer term average probabilities of fills at fx ECNs?

I am wondering whether anyone can share experiences and longer term average probabilities of fills when quoting inside the spread at various fx ECNs. I need to make an assumption of the probability of ...
0
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1answer
1k views

Where can I find literature (books, articles, etc.) about basic HFT / arbitrage strategies? [closed]

I am not looking for your winning strategies. Just the basic stuff from where to start. Can anyone share their opinions about what should I read to hit the ground running?
3
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1answer
129 views

Volatility estimation: sampling frequency and scaling

I have a year long stock data sampled at 5 min frequency and would like to estimate monthly volatility using it. I am thinking using GARCH or TGARCH for volatility estimation. However, I am not sure ...
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0answers
52 views

Double auctions in online games

I am currently doing a PhD in mathematics and we study the phenomenon of segregation in double auctions. As it is very difficult to gether datas from financial institutions I wanted to start by ...
4
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4answers
464 views

What kind of front end/ gui is used with trading applications?

I was wondering what kind of front end is used for trading applications. Coming from a quant background, I was always only concerned with research and back end of the application but am at a total ...
1
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0answers
201 views

Models for volatility estimation of high frequency data?

I have read on several news articles and research papers, "Contrary to popular belief, high frequency trading reduces volatility in stock markets rather than exacerbates it". Do you know the models ...
2
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1answer
181 views

How low can HFT transaction costs go?

When evaluating an HFT strategy, transaction costs are clearly an important question. When looking at commercial discount brokers for retail clients, costs can be as low as 0.005 USD per share, but ...
6
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2answers
364 views

Why are we obsessed over normalizing financial data?

I have recently began work on some high frequency financial tick data. I have been told to 'normalize' the data as much as possible and run linear regressions through them. In fact, the data doesn't ...
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3answers
388 views

What are the unfair order execution/routing advantages HFT firms apparently have?

I originally thought that you have an orderbook per stock and orders would be filled on the time at which they arrive. Arrive first and you get the best price and the qty in the orderbook is reduced ...
13
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4answers
1k views

Quantitative Math required for Market-making?

I understand there is an awful lot of Quantitative Math required for statistical arbitrage/algorithmic trading. However, would someone "in the know" be able to tell me whether there is less ...
2
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1answer
492 views

What features does q /KDB provide for HFT use?

It appears q/KDB is being using for Time series analysis for HFT. What are some of the advantages of using ...