Questions tagged [high-frequency]

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

51 questions with no upvoted or accepted answers
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129 views

How to model financial HFT time-series data with multi scale autocorrelation

I work with tick level time-series univariate prices data. Tick level means that there are hundreds to thousands observations per second. The observations are timestamped, so one can use both wall ...
4
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1answer
285 views

Complexity of using balanced-tree to model order book

I have bene researching on the best data structure to implement a limit order book. Some of the most common implementations include arrays and balanced trees. This link has a good set of references. ...
4
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187 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 unzipped)...
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224 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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94 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 ...
4
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1answer
359 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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73 views

how to model NGARCH using 5min frequency data?

NGARCH model using 5-min High-frequency data in R I wanted to analyze some 5 minute frequency data of stock market. My teacher asked me to use NGARCH to model, but I didn't know how to program.Here ...
3
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611 views

Information Driven Bars (Advances in Financial Machine Learning)

My team and I are busy coding up a python implementation of the information driven bars (imbalance and run bars) mentioned in Chapter 2 of the text book Advances in Financial Machine Learning. There ...
3
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222 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 ...
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144 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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0answers
201 views

Derivation of variance of Zhou (1996) volatility estimator

Does anyone know how to derive the Variance of Bin Zhou's volatility estimator (Theorem 1) in 'High-Frequency Data and Volatility in Foreign-Exchange Rates' (1996) Zhou 1996 Any help would be ...
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238 views

Forecasting Equity returns using state-space models

I have data for 3 yrs of 5 min prices of various equities. I can construct a linear regression model and try to see the in-sample model performance. But I was wondering whether fitting a state-space ...
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62 views

Assess forecasting performance of model in presence of bid-ask bounce

I have a forecasting model for 1-minute asset returns $y_t$ derived from trade data. (The assets are not very liquid.) The predictors of the model include the lagged target variable $y_{t-1}$, which ...
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127 views

Competitive levels in Limit Order Books

I've been doing some research on electronic Limit Order Books (mainly equities) and I was wondering if anyone has seen a paper on how to compute competitive limit order prices. By competitive, I mean ...
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114 views

How to weigh computational cost of updating an online predictive model for latency-constrained trading (e.g., market making, HFT)?

Say one has a predictive online model for market making or HFT (or just for anything strictly latency-constrained). In my specific example, I start with a Gaussian distribution over the "true value" ...
2
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92 views

HAR-RV model for predicting 1-min volatility

I would like to use HAR-RV model (Heterogenous AutoRegressive - Realized Volatility) to predict a 1 minute realised volatility using the HAR model. As regressors I intend to use RV of previous minute, ...
2
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157 views

Modelling Order Flow

I am trying to model the number of order that come at a distance d from the top of the book on either side, both bid and ask. I was wondering what is a good way to model orders which improve the ...
2
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0answers
113 views

Standard ways of simulating order books

What are some standard simple ways of simulating an order book? I have found this paper, but it is missing the implementation details. And more importantly, it appears that it ignores the size of the ...
2
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507 views

Hidden Markov Models for Higher frequency trading

I'm curious if anyone can validate my train of thought here with the utility of Hidden Markov models for modeling things happening on higher frequency trading activity versus lower frequency, and in ...
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0answers
79 views

Trades vs Cancel orders

In case of designing high frequency algorithms, do people treat all changes in the mid price similarly. What I mean is, if there is a change in the mid price due to a trade or there is a change in ...
2
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0answers
284 views

Strange trading data coming from bitstamp

Through researching order execution algorithms I came upon something rather strange. My dev team wrote a program that captures live bitcoin trades on bitstamp through the WebSocket API for a single ...
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0answers
55 views

Recreate Positions after downtime. Suggestions requested

We are trying to be able to get back to the Position state when our software goes down unplanned during the day. So far it seems we can get all our bought and sold quantity based on execution log we ...
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82 views

How to derive the HJB equation under this paper's context?

I'm reading this paper:High frequency trading in a limit order book. IN section 3.1, an HJB equatioin was given without any details. Could anyone show how to arrive this equation step by setp? I have ...
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43 views

probability on strategy expected return

I’ve been thinking about this for awhile and couldn’t figure it out myself. Assume you have a trading strategy, which return is normally distributed. strategy return has a mean of 1 basis point and a ...
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0answers
170 views

Short Term/Intraday Momentum Strategies

I am currently interested in doing some research on short term/intraday momentum trading strategies (highly liquid large cap stocks), especially to test if there are profitable strategies on higher ...
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0answers
218 views

Market Making constant volatility assumption

I have read a few papers on market making and all(nearly) assume that the stock follows a brownian motion with no drift and constant volatility.These assumptions seems un-intuitive to me because of ...
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0answers
100 views

Ultra high frequency TSRV

I'd like to verify my approach to calculate high-frequency RV estimator, as introduced in Ait-Sahalia, Myklad, Zhang 2011. After reading the paper a couple of times, it seems to me, that the only ...
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0answers
663 views

Calculating realized volatility of high-frequency data

I am wondering how to calculate the realized volatility. Sources such as say that the realized volatility is the sum of squared log returns sampled at a given frequency. So using 30 minute frequency ...
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0answers
120 views

Stock returns: Determining the window size

I am looking for a rigorous way to determine a suitable rolling window size for my stock data. Factors that will influence the window size are how fine my data is (minutely, daily, weekly etc.) and ...
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0answers
85 views

Evaluating passive fills

Assume we look at all passive fills going through a security. How do we benchmark how good each passive fill is (relative to each other)? We expect the edge to be (assuming midprice is our ...
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0answers
84 views

Missing sequence numbers in TAQ Quote data

I am looking at NYSE sample TAQ Quote data for Apple stock (link at the bottom of the post) and I have noticed large discontinuities in the data intervals. For example, these two are two succesive ...
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104 views

Is Hasbrouck's information share measure a good indicator of whether a price leads others, and are there alternative indicators?

I meant the method in this paper: https://www.jstor.org/stable/2329348
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175 views

Intraday Volatility using Realized Kernels

Since the papers about realized volatility calculate daily volatility out of intraday data, is it also possible to apply same methods to calculate e.g. 10 minutes volatility by smaller sampled data e....
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0answers
105 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 ...
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0answers
99 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 ?
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250 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 ...
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0answers
392 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 ...
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70 views

What are some ways to weight the basket of securities in high frequency setting?

I'm trying to build a basket of closely related assets $\{S_1, \dots, S_N\}$ that have no general index such as S&P500 and are represented in the high frequency setting. The general idea is to ...
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0answers
30 views

Analyzing BBO Change Tick data (vs. Trade Tick Data)

I have historical FX "tick" data from Dukascopy. Each tick is generated when Dukascopy receives a quote from a liquidity provider that is equal to or better than the best-bid-and-offer (note:...
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31 views

Intraday Factor Analysis, measuring intraday alpha, etc

I understand that models like the Fama-French 3 factor model are sometimes regressed against portfolio returns to compute an intercept value to understand if the portfolio captures common factors or '...
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46 views

Source for Intraday or High-frequency stock price data

I am in search for intraday (some observations per day would be fine) or high-frequency data for stock prices. I have for example 3.000 ISIN numbers of German companies and want to get the intraday/...
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2answers
207 views

Predicting price direction from order flow at high frequency

I have access to high frequency data for a few instruments using which I can simulate a limit order book.I would like to predict direction of price(best bid/ask) in the short term(1 sec, 5 sec and 10 ...
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0answers
31 views

Role of multilateral trading facility

I'm trying to understand Multilateral Trading Facility why companies are traded in this type of exchange ? what's the role of High Frequency Trading firms in this exchanges ? Thank you
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0answers
77 views

Execution Strategies

I have a rather broad question. Not sure how to best put it. Does anyone have any papers/resources on how to improve the execution model of any strategy? Would it be different if strategy under ...
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0answers
66 views

Sharpe ratio from second returns? HFT

I have an intraday trading strategy so I take several positions each day. I have prices for each stock, with a 10 second resolution. So the data looks like this: ...
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0answers
42 views

modeling example for price changes using HFT data

In Rue S. Tsay’s Time Series book, a decomposition method is described for analyzing price changes using HFT trade data. A change is modeled using the following variables, A indicates price change ...
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1answer
105 views

queue position value in all limits in the book

How would you evaluate the value of an order in a given limit at a given queue position in the order book ? For example let's say I am a market maker in BTC-USD and I would like to play some HFT games ...
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153 views

realized correlation estimation

I'm trying to implement the Hayashi - Yoshida estimator for correlation (T. Hayashi, N. Yoshida: On covariance estimation of non-synchronously observed diffusion processes, 2005) and there's something ...
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0answers
123 views

Trade sizing with market making and the volume of uninformed trades

I have a trend following market maker in a highly volatile market (XBTUSD) which makes its money from uninformed trades over a short time horizon. Sizing my bids/asks has always caused me to question ...
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50 views

RegNMS, National best bid/offer and Smart Order Routing

I read Flash Boys when it first came out. If memory serves correctly it said US exchanges are required to forward received orders to another exchange if it has better prices, to achieve the best ...