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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405 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
177 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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1answer
10k views

Realized Volatility vs. Standard deviation of log returns

I am interested in calculating high frequency 5-minute intraday volatility. I am going to use the standard Realized volatility which is the square root of the sum of squared log returns. Given X is ...
3
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2answers
1k 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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2answers
207 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
119 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
183 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
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 ...
3
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1answer
140 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
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
132 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
135 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
459 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
854 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
518 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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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: ...
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 ...
3
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2answers
288 views

Forecast of volatility

What are the well known methods for forecasting (daily - weekly - monthly) volatility of a stock price? How about a bond price? Let's say I have in my disposition the price time series at a very high ...
3
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0answers
215 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. ...
3
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0answers
209 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
190 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
234 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
297 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 ...
2
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1answer
386 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
596 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
178 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
169 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
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1answer
171 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
434 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
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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 ...
2
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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
697 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
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3answers
136 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
86 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
78 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?
2
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1answer
2k views

netfonds.no - High Frequency Data

I originally got the idea from Python for Finance. But there are nomerous other examples on how to get high Netfonds (here and here). They don't seem to work any more: http://hopey.netfonds.no/...
2
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1answer
448 views

Determination of Quote / Trade Ratio

What is the common criteria used to count a quote or trade in reference to the quote/trade ratio? Criteria: If it beats the best bid or offer. If it adds size to the best bid or offer. What if the ...
2
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0answers
55 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 ...
2
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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 ...
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" ...
2
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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
52 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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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 ...
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 ...
2
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0answers
360 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 ...
2
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0answers
349 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 ...
2
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0answers
75 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
62 views

Best features and tools over a short time interval [closed]

For a short time interval, what are the features having the most impact on a stock price movement? In the same direction, what are the better tools to tell us the price movement tangent? As tools, I ...
2
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2answers
267 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: ...