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

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27
votes
7answers
6k views

What broker/feed/APIsetup allows for recording the most accurate data (cheaply)?

I'm currently using IB's Java API and getting feeds through them. However the real-time feed is updated only every 250ms and the historical feed only every second. I'm primarily looking for ES data ...
26
votes
3answers
7k views

How can we reverse engineer a market-making algorithm (HFT)?

Consider a market participant $A$ who is mechanically following an automated liquidity providing algorithm (HFT) in a number of large cap stocks on a specific exchange. Assume furthermore that we are ...
25
votes
9answers
5k views

How 'High' is the frequency in HFT?

How many trades per second are we talking about? What kind of strategies are used in this time frame? Can the small guy play the game?
23
votes
9answers
2k views

Has high frequency trading (HFT) been a net benefit or cost to society?

Various studies have demonstrated the very large and growing influence of high frequency trading (HFT) on the markets. HFT firms are clearly making a great deal of money from somewhere, and it stands ...
21
votes
5answers
5k views

What is a good broker for HFT?

Currently I trade trough IB. I run my HFT strategies (100 roundtrips per hour) but I think that latency is killing me and my profits are shrinking. I need the fastest possible brokers out there which ...
20
votes
4answers
5k views

Why do high frequency traders use rapidly cancelled limit orders?

In reading about the various practices and strategies of high frequency traders, one of the most mysterious to me is "fleeting orders," or orders that are cancelled almost immediately after they are ...
18
votes
3answers
4k 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: Support Vector ...
16
votes
3answers
2k views

How to forecast volatility using high-frequency data?

There is a large literature covering volatility forecasts with high-frequency tick data. Much of this has surrounded the concept of "realized volatility", such as: "Realized Volatility and ...
15
votes
7answers
11k views

Is the Interactive Brokers API suitable for hft?

By hft here I mean anything with holding period less than 5-10mins... Any empirical/anecdotal evidence of using it successfully on even higher frequencies?
14
votes
2answers
1k views

From a high frequency point of view, with a price prediction and assuming infinite leverage, how do you determine optimal trade size?

I have read about something like Kelly criterion for long term expectation maximization assuming a fixed starting bankroll. But if one can assume unlimited leverage, and one has a signal for a price ...
12
votes
4answers
1k views

HFT: What is the big differentiator in comparison to other time scales?

High Frequency Trading (HFT) seems to be the big money making mystery machine these days. The purported source of unlimited floods of gelt pouring into the investment shops using it. For me, HFT is ...
12
votes
3answers
5k views

R: How feasible is it to store — and work with — tick data in a database connected to R?

I'm looking to convert some tickdata .csv files into a database on a local disk and then use R to call the data and do my various analytics and modelling. What are some best practices / ...
12
votes
5answers
2k views

Applications of Fourier theory in trading

What are fashionable applications of Fourier analysis in trading? I have heard vague ideas of applications in High Frequency Trading but can somebody provide an example, maybe a reference? Just for ...
11
votes
5answers
3k views

What exactly is meant by “microstructure noise”?

I see that term tossed around a lot, in articles relating to HFT, and ultra high frequency data. It says at higher frequencies, smaller intervals, microstructure noise is very dominant. What is ...
11
votes
3answers
5k 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 ...
11
votes
2answers
515 views

How credible is Knight pointing the finger at Rule 107C?

After the Knight Capital incident, I decided to read into the new Rule 107C that NYSE pushed-out August 1st for a one-year pilot. From what I've read, Knight claims that new code rolled out for this ...
11
votes
3answers
653 views

What is the most effective way of determining & measuring the level of HFT activity in a stock in (close to) real time?

On a security by security basis, I want to be able to quantify the level of HFT activity (and later institutional & retail activity). Is it higher than it normally is? How much so? What would you ...
11
votes
4answers
539 views

Quantitative Math required for Market-making?

I understand there is an awful lot of Quantitative Math required for statistical arbitrage/algorithmic trading. However, would someone "in the know" be able to tell me whether there is less ...
9
votes
3answers
2k views

Order submission strategies of a rational market maker?

Consider a market maker that has decided to try to make a round-trip trade in stock A in order to capture the bid-ask spread. Assume furthermore that he has no current inventory in the stock A. To ...
8
votes
2answers
1k views

What is “high frequency quoting” or “quote spam”?

What is called "high frequency quoting" or "quote spam" in the context of high frequency trading? Why do some people consider that as a problem for the market?
8
votes
3answers
652 views

What strategy would benefit most from having the fastest connection to the exchange?

Imagine that you have the fastest connection to the exchange (receive quotes 1 ms earlier than everyone else) for both stocks and derivatives. How would you benefit from this? Of course almost any ...
8
votes
4answers
448 views

Position management in presence of continuous forecast

Let's say we have an equity liquidity-providing model that was fitted on 1 minute bar periods. The model forecasts the 1-min next period return given the activity of the previous bars. Now, when we ...
8
votes
2answers
1k views

Algorithm for the choice of stocks for a equity scalper/market maker to engage in?

Assume a scalper/market maker who is operating on an exchange with $N$ stocks with different characteristics such as current market value, average bid-ask spread, average daily volume and historical ...
7
votes
3answers
727 views

What is the impact of high-frequency trading on market depth, liquidity, and volatility?

On the surface, bid-ask spreads are far more narrow than even several years ago. However, during periods of financial stress liquidity seems to vanish. Also, the increasing amount of fragmentation ...
7
votes
1answer
629 views

Why would a trader quickly flicker an order immediately preceding a tick away?

The Setup Assume the inside market is $15.15 \times 15.16$ and there is a very large bid order imbalance. For example, 30,000 shares bid across 100+ orders, 200 shares offered across 1 order; ...
7
votes
2answers
1k views

Non-SQL methods for high-frequency accounting?

Does anyone know of any prior art for non-SQL data structures for high-frequency accounting, whether client, broker, or exchange-side? I'm thinking specifically of the problem of booking individual ...
6
votes
6answers
9k views

How to calculate historical intraday volatility?

Sorry for what must be a beginner question, but when I went to write code I realized I didn't understand exactly how historical volatility, or statistical volatility, is defined. Wikipedia tells me ...
6
votes
2answers
2k views

How to annualize intra-day volatility on minute data?

I am trying to convert minute based volatility into annualized volatility in such a way that both are comparable. $Vol_{min} * \sqrt(t)$ does not seam to get them into the same scale if I annualize ...
6
votes
2answers
2k views

Fastest news feed APIs targeting high frequency trading?

The Dow Jones elementized news feed API seems to stand out but are there any other machine readable news feeds out there that provide very low latencies that high frequency operations may peruse? I am ...
6
votes
3answers
525 views

How to account for jumps in intraday data when calculating beta?

I am calculating betas on intraday trade data at 15-minute intervals. For simplicity sake, let's assume I am modeling \begin{equation} Y = \beta * X + c \end{equation} where $Y$ is the return of XLF ...
6
votes
2answers
1k views

Which algorithm should I look into to kick off my research in algorithmic trading? [closed]

I have recently undertaken a research into automated algorithmic trading algorithms. The aim of the research is to focus on studying algorithmic trading and trying to improve a basic implementation ...
6
votes
2answers
4k views

What is a medium to low frequency trading strategy and why is it less hyped?

The term high frequency trading has been used quite often recently to refer to trading using real-time tick data (or data aggregated to few seconds) and having an intra-day holding period. How are ...
6
votes
2answers
248 views

Why are we obsessed over normalizing financial data?

I have recently began work on some high frequency financial tick data. I have been told to 'normalize' the data as much as possible and run linear regressions through them. In fact, the data doesn't ...
5
votes
1answer
867 views

HFT - How to define and measure latency?

I have read and heard a lot about latency. But I can't find any solid information that explains how latency is defined and measured. When people say they have achieved millisecond or nanosecond ...
5
votes
4answers
771 views

Does HFT make sense in a pro-rata market?

If orders are filled pro rata, is there still incentive to engage in HFT? Because pro rata nullifies the time precedence rule, my intuition is no, but I figure there could be other aspects to it I'm ...
5
votes
1answer
518 views

Profiting from price discrepancies between stock exchanges

Here is an interesting video by Nanex: http://www.youtube.com/watch?&v=rB5jJuMP84E Perhaps some of you have already seen something similar. It is an animation of the order routing. It shows 1/2 ...
5
votes
2answers
359 views

Recover full tick data from missing tick data

Due to some economics/regime problem, I can only have access to non full-tick data from an exchange. To make the problem precise, a full tick data $X$ is a series of $(t_i,p_i,v_i)$ for $0 \leq i ...
5
votes
1answer
602 views

Trade execution in HFT - role of quants

What is the role of quants in trade execution in high frequency trading? AFAIR in "normal" trading trade execution is considered a very mundane task. What role can quantitative modelling play in trade ...
5
votes
1answer
339 views

What are some quantitative method behind etf vs cash arbitrage?

Has there been any studies done on the correlation between etf vs cash (i.e. GLD vs GD) for example and how they should theoretically move together, and what fundamental reasons could cause them to ...
5
votes
3answers
1k views

Papers about risk managment in algorithmic trading systems?

I am currently doing my research for my master thesis, which will clearly focus on the question of risk managment in algorithmic trading systems. I have done research about this topic and found some ...
5
votes
1answer
212 views

How are dual class shares different from non dual class shares from a market makers' perspective?

Assume a stock Foo with a single share class. Furthermore, assume a dual class stock Bar with classes I and II with different voting rights. The shares in the different classes have equal cash flow ...
5
votes
1answer
748 views

Problems with dealing with GARCH models and intra-day data

Short question would be "Which type of model from GARCH family is most suitable for modeling 5-minute data returns ?" but I've added some story to it. Long time ago I was preparing my thesis, one ...
5
votes
1answer
427 views

Applying models with normality assumption on tick data?

Beginner question. Having read a couple of papers and book chapters on high-frequency data forecasting, I'm surprised (and confused) that the same time series techniques can be applied to ...
5
votes
0answers
267 views

What good papers of short term (<30 seconds) volatility estimation

I am looking for good papers of short term (<30 sec) volatility estimation AND short term volatility forecasting. Do you have something in mind ?
4
votes
3answers
257 views

Semi-strong efficiency and HFT

The semi-strong efficient market hypothesis states that In semi-strong-form efficiency, it is implied that share prices adjust to publicly available new information very rapidly and in an ...
4
votes
4answers
220 views

What kind of front end/ gui is used with trading applications?

I was wondering what kind of front end is used for trading applications. Coming from a quant background, I was always only concerned with research and back end of the application but am at a total ...
4
votes
1answer
288 views

What is a good source to learn the different nuances of electronic orders and their nature?

Today I was speaking with someone involved in high frequency trading. They were mentioning hidden orders, queue positions (which can be lost in the orderbook based on certain order modifications), ...
4
votes
3answers
235 views

selecting test data for neural networks

I have been working on a neural network based on certain technical indicators. As people familiar with neural networks would know after developing a hypothesis, the developer is also supposed to ...
4
votes
1answer
220 views

When does the Epps effect start?

Wikipedia defines the Epps effect as follows: In econometrics and time series analysis, the Epps effect, named after T. W. Epps, is the phenomenon that the empirical correlation between the returns ...
3
votes
2answers
335 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 ...