Questions tagged [high-frequency]

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

39 questions with no upvoted or accepted answers
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179 views

The “Universal Model” by Justin Sirignano and Rama Cont

In the nicely written article https://arxiv.org/abs/1803.06917 by Justin Sirignano and Rama Cont, they explained that their model is universal and stationary. I am a bit confused about some questions. ...
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152 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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85 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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212 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. ...
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202 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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176 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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232 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 ...
3
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1answer
278 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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22 views

TSRV parameters selection

I'm thinking about how to select the $J$, and particularly, $K$ parameters for the Two Scale Realized Volatility estimation? I cannot find any reference for that in the original paper - there it says $...
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22 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, ...
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85 views

Should a high-frequency market-making fair value be a point or bid/offer pair?

A single micro-price (e.g., volume weighted mid adjusted for recent trades) is simpler and can be used for pricing both our bid and our offer. But a bid fair and an offer fair have the desirable ...
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31 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 ...
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236 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 ...
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228 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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62 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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1answer
236 views

Crossing the spread as a ML signal

In the optic of high-frequency trading, most of the standard trading algorithms work on the principle of mid-price prediction or mid-price movement prediction. However a big drawback of this technique ...
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0answers
263 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 ...
2
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1answer
299 views

Best way to buy and sell large volumes of crypto

I had a few questions about how to properly execute a large order of crypto currency without moving the price much. I know a lot of funds employ a TWAP/VWAP algorithm to liquidate or purchase a large ...
2
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719 views

Netfonds.no: Continuing to understand how to get high frequency data

I first found out about netfonds about a year ago but I hadn't ever really gotten around to actually pulling data from there. I spent a little time today figuring out a way to pull data and here is ...
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132 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 ...
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54 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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52 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" ...
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84 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 ...
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49 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 ...
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329 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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90 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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73 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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74 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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88 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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133 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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93 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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91 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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238 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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362 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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35 views

Convert Continous Signal to Discrete

Suppose I have a continuous signal for a futures in HFT context. The signal is noisy and continuous. I have tried using moving averages of the signal to make sense of it and to be able to use it, but ...
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93 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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41 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 ...
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112 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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192 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 ...