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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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
363 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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2answers
599 views

definition of mid price in literature

In literature, the mid-price is often used along with the terms "fair value", "true value" among others. I take it alot of the times it means the same thing because the mid-price doesnt necessarily ...
3
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4answers
642 views

How frequently do market makers cancel orders?

It is modeled that a market maker will post a limit order for a period of time and will maintain that order until the set period of time expires, or the order is filled, and then he will provide a new ...
3
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3answers
1k views

How to choose a data center for deploying high frequency trading strategies?

We are in the process of selecting the data center for deploying our high frequency strategies. Does anyone has some questionnaire that can be used to figure out that what type of infrastructure (...
3
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1answer
253 views

Economics of spoofing

I am trying to understand the economics of spoofing (I am a lay person). I understand that from a risk point of view, aside from the legal risk, the main risk is that of having a limit order filled ...
3
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2answers
3k 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 ...
3
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2answers
417 views

Resources for Benchmarking Automated Trading Systems available as deltix etc.?

Is there some research resource/group working on benchmarking of software products out there with automated trading and goals of "Advanced alpha generation and execution strategies" incorporating low ...
3
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1answer
168 views

Cleaning of high-frequency data

In the paper "Realized kernels in practice: trades and quotes" by O. E.Bandorff-Nielsen etc. cf. https://onlinelibrary.wiley.com/doi/full/10.1111/j.1368-423X.2008.00275.x in the section dedicated to ...
3
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1answer
199 views

What are recommended recovery techniques in arbitrage when one order doesn't fill?

Let's say you are running an arbitrage strategy in the Forex market. You see an opportunity to buy USD/JPY at 100 on exchange A, and sell USD/JPY at 105 on exchange B. You submit the buy and sell ...
3
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2answers
3k 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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2answers
2k 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 ...
3
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1answer
2k views

What literature (books, articles, etc.) should someone hoping to learn basic HFT / arbitrage strategies read first? [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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2answers
212 views

Mitigating gateway delay

A trading system has $n$ colocated uplinks to TCP order entry gateways $g_1, \dots, g_n$ on a given exchange. Each gateway $g_i$ has a different order entry delay function $d_i(t)$ as a function of ...
3
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1answer
131 views

Inherent Limitations with Respect to HFT Hardware

I am attempting to compile some aspects of high frequency trading that pose issues to all players in the field i.e., things that cause problems regardless of how much money the firm has to spend on ...
3
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2answers
194 views

What impact does arbitrage have on realised volatility estimates?

Doing some research modeling/estimating volatility in the bitcoin market. There is quite a bit of scope for arbitrage within crypto-currency markets. Wonder if this has any impact on my volatility ...
3
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1answer
123 views

Align volume bars for multivariate analysis

Looking at the book "Advances in financial machine learning" the author proposes a way to sample high frequency financial data in several fashions which are not only the standard time bars. I was ...
3
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1answer
141 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 $...
3
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1answer
339 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 ...
3
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1answer
241 views

model high frequency bitcoin volatility

I am trying to model volatility of 1-minute returns of BTC, but it seems to me that the data do not behave traditionally. I tried fitting GARCH, eGARCH with ARMA (1,1) or (2,0), but I am not confident ...
3
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1answer
488 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 ...
3
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1answer
136 views

Exchange Infrastructure

Is there any reference document on how the infrastructure at an exchange works? I know the implementation at different exchanges are different and there is no one size fits all. But is there any ...
3
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1answer
160 views

history of market microstructure

I am doing an assignment which requires me to review changes in market microstructure across countries over the pass 20 years. SO I would like to get a timeline/implementation dates of market ...
3
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1answer
2k views

Latency arbitrage: what exactly is the arbitrage mechanism?

I'm reading about latency arbitrage in regards to direct exchange feeds vs. SIP feeds. SIP feeds are on average 1 millisecond slower than direct feeds, which allows HFTs to see an NBBO update before ...
3
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1answer
469 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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1answer
986 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 ...
3
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1answer
623 views

How would you correct a GARCH model to deal with non mean reverting volatility?

I am currently attempting to model and forecast volatility of bitcoin but have not been able to find a GARCH model that fits the data appropriately. I've used tick data sampled at 1 hour intervals ...
3
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0answers
71 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 ...
3
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1answer
124 views

TeaFile discrete logic - how to write [closed]

I have been working with TeaFile from discreteLogic and I'm strugling to understand how i can insert data inside a file. Let's take this example: ...
3
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0answers
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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0answers
623 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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0answers
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 ...
3
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0answers
145 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
205 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 ...
3
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0answers
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 ...
2
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1answer
483 views

Understanding how market making helps investors

I'm reading about high frequency trading and market making. I'm trying to understand the following example from my book: Here is an example of how market making helps investors. Suppose that the best ...
2
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3answers
692 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 ...
2
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1answer
347 views

Formerly profitable algorithmic trading strategies?

Since algorithmic trading strategies often stop being profitable after a while, I wonder if any such formerly profitable strategies have been made public, and if so, where can I find them?
2
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1answer
645 views

Beginner to high-frequency trading

I am extremely new to the field of high-frequency trading. I have been trying to read a ton of materials out there to understand the general workflow. I have very basic knowledge of different concepts ...
2
votes
1answer
229 views

What makes open-outcry preferable to electronic trading and what are its consequences?

I recently visited the trading floor of CBOE where especially the pits of SPX and VIX are relatively crowded and open outcry is still performed. I was surprised to hear that the traded volume is non ...
2
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1answer
205 views

GARCH model using high frequency price return

I would like to forecast variance at time length $k\delta$ based on a price (return) time series of time step length $\delta$. I will apply a GARCH(1,1) model to subsamples at time intervals length $k\...
2
votes
1answer
422 views

How to propertly change time horizon in Avellaneda-Stoikov model?

I'm working in the Avellaneda-Stoikov implementation using Python. My implementation reproduces the authors' results, but I don't know how to properly adapt the algorithm in order to consider a larger ...
2
votes
3answers
318 views

Why is C/C++ used by researchers to develop and test algorithmic trading strategies?

I understand why compiled languages such as C/C++ are important for low-latency trading infrastructure. But I am curious why even researchers at the high-frequency trading firms also require a strong ...
2
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1answer
142 views

Futures vs. spot forecasting

If i have the belief that the futures lead the spot for price discovery, and I am able to forecast the future prices, given this forecast, what would be the best way to back out this number such that ...
2
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1answer
188 views

How do market participants know intentions of other players

I'm reading a paper on order anticipation strategy and came across this line in the paper: We assume that all model parameters, including n and ...
2
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2answers
531 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 ...
2
votes
1answer
2k 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 ...
2
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1answer
769 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 ...
2
votes
1answer
106 views

(R-studio) Incorporating overnight returns in high-frequency data

Turning here since I haven't been able to find any help online. I'm currently dealing with a high-frequency data set in R of some stock indicies and I'm currently trying to clean the data so that I ...
2
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2answers
79 views

Why can we neglect the mean in the variance when the time step is very small?

Can anyone tell me why we can neglect the mean in the variance when the time step is very small? See the following picture: Usually, we choose a time step of one day. Is it small enough?