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Questions tagged [high-frequency]

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

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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 ...
eillasti's user avatar
4 votes
2 answers
441 views

Continuous prediction vs Event-based predictions

When making a high-frequency or mid-frequency prediction on an assets return, what are the advantages and disadvantages of making a continuous prediction vs a prediction that only fires on a ...
mr_mm's user avatar
  • 103
4 votes
0 answers
966 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 ...
Jacques Joubert's user avatar
4 votes
0 answers
199 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)...
conighion's user avatar
  • 111
4 votes
0 answers
260 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. ...
Ilya Cherevkov's user avatar
4 votes
0 answers
119 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 ...
Kevin Webster's user avatar
4 votes
1 answer
430 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 ...
vdesai's user avatar
  • 283
3 votes
0 answers
156 views

Models for tick-by-tick / high-frequency data

I've spoken to one or two persons at some market making shops, and I'm under the impression that for modelling tick data, aside from the rise of ML, a pure jump process such as the variance gamma ...
Frido's user avatar
  • 1,906
3 votes
1 answer
635 views

Dealing with the inventory risk: solution with drift

I'm implementing the solution with drift from "Dealing with the inventory risk" from Gueant, Lehalle and Tapia. I'm using the link https://arxiv.org/pdf/1105.3115.pdf as reference. I can ...
sandstorm111's user avatar
3 votes
0 answers
130 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 ...
cryo111's user avatar
  • 481
3 votes
0 answers
99 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 ...
Jinhan zheng's user avatar
3 votes
0 answers
896 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 ...
Theodore's user avatar
  • 1,172
3 votes
0 answers
247 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 ...
algotr's user avatar
  • 31
3 votes
0 answers
158 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 ...
Thomas Johnson's user avatar
3 votes
0 answers
235 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 ...
jacqueline's user avatar
3 votes
0 answers
274 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 ...
iku's user avatar
  • 31
2 votes
0 answers
125 views

Estimating Parameters of Optimal Posting Strategy from "Enhancing Trading Strategies with Order Book Signals"

I'm reading the paper “Enhancing Trading Strategies with Order Book Signals” by Cartea et al (2015). And I have the following questions: Assume that I empirically estimated $\lambda^{l}, \lambda^{\pm}...
envy grunt's user avatar
2 votes
0 answers
184 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 ...
New quant's user avatar
2 votes
0 answers
147 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" ...
Theodore's user avatar
  • 1,172
2 votes
0 answers
224 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, ...
Jan Sila's user avatar
  • 732
2 votes
0 answers
248 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 ...
nimbus3000's user avatar
2 votes
0 answers
105 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 ...
nimbus3000's user avatar
2 votes
0 answers
993 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 ...
abu's user avatar
  • 229
2 votes
0 answers
293 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 ...
xxen0nxx's user avatar
2 votes
0 answers
61 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 ...
Igoy's user avatar
  • 121
1 vote
0 answers
50 views

Understanding Order Book Imbalance When a New Queue is Established on Liquid Stocks

I’m currently studying order book dynamics on liquid stocks and I have a question regarding the order book imbalance when a new queue is established. In a liquid stock when a new queue is established, ...
Less-Owl-4025's user avatar
1 vote
0 answers
60 views

How to hedge an options portfolio in hft settings?

Suppose that you are quoting multiple option strikes on multiple levels and getting hit very often. Such trading possesses a challenge from a risk management perspective. To stay delta neutral you ...
Artem Korol's user avatar
1 vote
0 answers
179 views

Privatelink latency impact

I am working with a team on a market making algorithm on Huobi. We are integrating our infrastructure in AWS and when you are a S tier you can get a privatelink which is about 10 to 50 ms faster than ...
Bob hhhuh's user avatar
1 vote
0 answers
132 views

State-of-the art factor models for intraday event studies

I want to do intraday event studies. For this purpose, I have stock data on a 15 minutes interval. What is/are currently the state-of-the art factor model(s) for calculating intraday (ab)normal ...
MiFischer22's user avatar
1 vote
0 answers
87 views

What are some common methods for calculating short term historical volatility (i.e. look back 5 minute time periods)

I'm interested in quantifying the impact of short term price volatility on a particular strategy I'm running. So far I'm simply calculating the standard deviation of log returns, but I'm a bit unsure ...
ElJamesBondi's user avatar
1 vote
0 answers
207 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 ...
syd's user avatar
  • 11
1 vote
0 answers
90 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 ...
OllyG's user avatar
  • 11
1 vote
0 answers
408 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 ...
qfLion's user avatar
  • 11
1 vote
0 answers
147 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 ...
Jan Sila's user avatar
  • 732
1 vote
0 answers
137 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 ...
Chris B's user avatar
  • 81
1 vote
0 answers
125 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 ...
homebee's user avatar
  • 11
1 vote
0 answers
97 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 ...
ragoragino's user avatar
1 vote
0 answers
118 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
Slow Learner's user avatar
  • 1,170
1 vote
0 answers
270 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....
nan's user avatar
  • 61
1 vote
0 answers
114 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 ...
Bazman's user avatar
  • 879
1 vote
0 answers
129 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 ?
jharonfe's user avatar
1 vote
0 answers
289 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 ...
Larry Qian's user avatar
1 vote
0 answers
419 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 ...
SMohan's user avatar
  • 89
0 votes
0 answers
49 views

dependence between trading instants and price in market microstructure

Can someone suggests readings regarding the dependence between sampling schemes and prices at which they are sampled in high frequencies context ? Is there a relationship between prices and times?
XY0's user avatar
  • 127
0 votes
0 answers
100 views

How to model the imbalance to predict in different timeframes?

As widely shown in this forum and in the literature, the order book imbalance is empirically a good predictor of the market move. However, even though the calculation of the imbalance is very straight ...
sandstorm111's user avatar
0 votes
0 answers
128 views

Gueant–Lehalle–Fernandez-Tapia formulas for varying volatility

There are formulas proposed by Gueant–Lehalle–Fernandez-Tapia related to the optimal bid and ask in market-making models (Optimal Market Making by Gueant or The Financial Mathematics of Market ...
ltrd's user avatar
  • 501
0 votes
0 answers
71 views

Non-zero real-valued function continuous and piecewise $C^1$ that vanishes outside (0,1) with piecewise Lipschitz derivative

In this paper the authors to overcome the presence of microstructure noise which "contaminates" the ito-semimartingale in high-frequency data uses the idea of pre-averaging. For an ...
XY0's user avatar
  • 127
0 votes
0 answers
273 views

Is there a common way that level 2 and time & sales data are analyzed together?

Let's say that for a single asset, we have a data stream from which we receive both level 2 order book updates (price level/quantity updates) as well as time & sales updates (grouped recent trades)...
QMath's user avatar
  • 249
0 votes
0 answers
85 views

In grid trading, is a fixed price level grid equivalent to a dynamic grid?

I am trying a grid trading bot that shifts the grid around the current market price within a minimum and maximum price. I lack context on how such strategy compares with a fixed grid centered around a ...
OneArb's user avatar
  • 101
0 votes
0 answers
253 views

What are the advantages and disadvantages of converting standard deviation of higher-frequency returns to a lower sampling frequency?

I have a minute-by-minute price series of a stock. I would like to calculate the daily volatility or standard deviation of the stock's returns. One way to do so is to get the end-of-day prices (i.e. ...
finstats's user avatar
  • 403