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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46 views

intraday periodicity adjustments

I recently studied and implemented the intraday periodicity model of Andersen and Bollerslev from here. https://www.sciencedirect.com/science/article/abs/pii/S0927539897000042 The seasonality ...
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3answers
368 views

How can I get a good micro price than the weighed price to overcome the bid ask bounce

Mid price is so noisy so I try to use the weighted price, which is much better. However I want to define a better price called micro-price. I use different level of quote and give the different ...
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21 views

How to get daily S&P500 dividend and CPI data?

For a project where I'm modelling asset prices using heterogeneous dividend expectatations, I want to investigate the effect of the COVID-19 virus. This means I'm looking at daily stock price data ...
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3answers
133 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 ...
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2answers
2k views

Market impact, why square root?

The standard method of market impact is the square-root formula \begin{equation} \Delta P = c \cdot\sigma \cdot \sqrt{\frac{n}{\nu}} \end{equation} where $\Delta P$ is the price change from executing ...
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1answer
349 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
377 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 ...
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1answer
53 views

How to detect price anomalies in HFT?

Let's say I'm developing an HFT application and seeking arbitrage in futures markets between MAY contract(M) and JUNE contract(J). In this strategy, my spread is ...
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56 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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3answers
3k views

Avellaneda -Stoikov market making model

I am reading paper High-frequency trading in a limit order book by Marco Avellaneda and Sasha Stoikov. At the end of the paper they obtain a closed-form solution to the optimal market-maker quotes ...
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1answer
53 views

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

Im working in the Avellaneda-Stoikov implementation usign python. My implementation reproduces the authors results, but I dont know how to propertly adapt the algorithm in order to consider a larger ...
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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?
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19 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 ...
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39 views

How to use the volatility indicator?

In the high frequency research, there are many research papers about the high frequency data to predict the volatility, My question is how to use the predicted volatility in the trading. And which is ...
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1answer
166 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 ...
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0answers
54 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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119 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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1answer
85 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 ...
3
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1answer
62 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: ...
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2answers
266 views

Understanding Forex HFT Arbitrage with different counter parties/ Brokers/ ECN

I came across this in a online lecture. But couldn't wrap my head around it. Lets say I have accounts with two brokers/ECN/STP. Now consider the following scenario for currency pair USD/JPY Broker1: ...
4
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1answer
268 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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0answers
66 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 ...
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1answer
167 views

How to understand microprice (aka, weighted-midprice)?

The definition of micropice is S=PaVb/(Va+Vb)+PbVa/(Va+Vb), where Pa is the ask limit-order price and Va is its volume, and similar for the bid Pb and Vb. The typical explanation for micropice is ...
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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 ...
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1answer
212 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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2answers
13k views

What kind of return can an average algorithmic trading firm achieve today?

What kind of rate of return can an average, equities-focused algorithmic trading firm expect to achieve today? I come from a background of control and optimization, working in the industry in China, ...
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2answers
189 views

How does a high frequency trading bot work?

I've read this (https://cryptodaily.co.uk/2019/11/what-you-need-to-know-about-high-frequency-trading-in-the-cryptocurrency-world): Let’s go back to your buy order of 10 BTC and imagine that it ...
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0answers
65 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 ...
2
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0answers
89 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" ...
5
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1answer
584 views

Avellaneda-Stoikov empirical estimation verification

The solution of the model contains constant: $k = \alpha K$, it relates to: (i) probability of getting a fill ($\alpha$) and (ii) market impact ($K$). Estimating (i). The author proposes that the ...
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0answers
40 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 $...
2
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0answers
51 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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3answers
9k views

Control for bid/ask bounce in high-frequency trade data?

The bid-ask bounce is the bouncing of trade prices between the bid and ask sides of the market. It introduces a systematic bias to the data which can cause serious problems in analysis. What methods ...
4
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2answers
274 views

Can you use GARCH-MIDAS for intraday data?

I'm working on a project to forecast volatility and I'm using intraday data (1 min). I want to include exogenous variables to the model that have daily frequency. I was wondering if GARCH-MIDAS can be ...
3
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1answer
138 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 ...
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0answers
44 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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0answers
106 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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1answer
70 views

Why does an exchange (IEX) need connection to other exchanges (like information about average prices)?

I have read "flash boys". The author describes how the Royal Bank of Canada uses THOR and an own SIP against certain practices of flash traders. I understand why a bank or a broker can make beneficial ...
6
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3answers
2k views

What latency should I use for backtesting a high-frequency strategy?

We're developing an HFT strategy for highly liquid futures traded at Eurex. We are planning to colocate our server and to use data feed of QuantHouse and execution API of ObjectTrading. Backtesting is ...
10
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2answers
2k 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 bid/...
11
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3answers
7k views

What mathematical theory is required for high frequency trading?

I am an applied math postdoc and I have been presented with the option of leaving academia to work in high frequency trading. I wanted to get a feel for the field and the theory underlying it so I ...
2
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0answers
71 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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1answer
185 views

How to account for intraday seasonality in GARCH model?

I am using a GARCH(1,1) model to estimate volatility. I am using hourly data to do this (I have hourly data for 100 trading days). Besides removing the first hour (which represents the overnight ...
36
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4answers
9k views

What types of neural networks are most appropriate for trading?

What types of neural networks are most appropriate for forecasting returns? Can neural networks be the basis for a high-frequency trading strategy? Types of neural networks include: Radial Basis ...
2
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0answers
355 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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5answers
1k views

Forex ECN for Algorithmic Trading

I'm looking for a forex brokerage that allows me to: add limit orders to the order book and trade against other clients However, when I look at the looks of fxcm, alpari, robofx, ... it appears all ...
4
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4answers
468 views

Modelling HFT data

In the context of Market making, how important is recent trades? In general, would i be able to get away with just modelling the Limit Order Book (LOB) and the evolution of the LOB in order to ...
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1answer
2k views

What are trade markouts?

I have experience in trading but mostly in lower frequency quantitative trading. I've moved into HFT research and someone the other day mentioned markouts. I couldn't find anything online explaining ...
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2answers
341 views

Predicting microstructure momentum in market making

If I have a market maker which is compelled to provide quotes on both sides of the market, I am exposed to risk of quadratic losses (vs my linear gains during normal operations) during times when the ...
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0answers
347 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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