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

learn more… | top users | synonyms (1)

5
votes
2answers
91 views

What are Sell Imbalance-Only Orders?

I am reading the 2014 SEC filing against Athena, a HFT firm. (http://www.sec.gov/litigation/admin/2014/34-73369.pdf) At point 29, they describe the behavior of Athena moments before market closing ...
4
votes
2answers
6k 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, ...
4
votes
4answers
466 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
331 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
1answer
191 views

Calculating 6-minute, 20-minute, 45-minute, and 3-hour volatility

I am looking to measure the volatility from the open of the market until a trade takes place and use that volatility in post-trade regressions to help explain transaction costs. A simple regression ...
4
votes
3answers
291 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
1k 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 ...
4
votes
0answers
59 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
votes
0answers
203 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 ...
4
votes
0answers
97 views

Survey of market making strategies and research [duplicate]

I am undergoing a focused study of market making theory. So far, I've encountered the following papers: Market Making and Mean Reversion Adapting to a Market Shock: Optimal Sequential Market-Making ...
3
votes
2answers
356 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
votes
2answers
187 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
votes
1answer
7k views

Where can I find some examples of high frequency or stat arb trading algorithms beyond basic textbook pairs trading?

In particular, http://en.wikipedia.org/wiki/Algorithmic_trading#Algorithms has several name algorithms. I understand most HFT algorithms are proprietary but I am looking for examples of HFT ...
3
votes
2answers
87 views

Longer term average probabilities of fills at fx ECNs?

I am wondering whether anyone can share experiences and longer term average probabilities of fills when quoting inside the spread at various fx ECNs. I need to make an assumption of the probability of ...
3
votes
2answers
138 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
votes
1answer
134 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
votes
1answer
233 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
votes
0answers
76 views

Order Book Dynamics

I have been following this paper: http://arxiv.org/pdf/1104.4596.pdf The model is especially pertinent as I only have access to L1 data. The model is clear and intuitive and I have implemented the ...
3
votes
0answers
102 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
votes
0answers
98 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
votes
1answer
129 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
votes
3answers
899 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 ...
2
votes
2answers
91 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 ...
2
votes
3answers
511 views

Transaction Data with Participant ID

For my master thesis, I need high-frequency data with the market participant ID or which identifies the trading parties, respectively. I don't need the entire orderbook but just the matched orders ...
2
votes
1answer
1k views

High-Frequency Traders and Front Running: What order types are they using? [closed]

I often hear in the news that High-Frequency Traders can front-run incoming trades because they are faster at acquiring information and to execute trades. I also read that speed is only a necessary ...
2
votes
2answers
851 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 ...
2
votes
2answers
361 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 ...
2
votes
1answer
181 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
2answers
238 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
votes
1answer
185 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 ...
2
votes
1answer
90 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
votes
1answer
493 views

What features does q /KDB provide for HFT use?

It appears q/KDB is being using for Time series analysis for HFT. What are some of the advantages of using ...
2
votes
2answers
178 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 ...
2
votes
0answers
75 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 ...
2
votes
0answers
53 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 ...
2
votes
1answer
298 views

What are some quantitative trading strategies used by high-frequency trading companies to make a killing on a market crash day on 24Aug2015?

http://blogs.barrons.com/focusonfunds/2015/08/24/high-frequency-trading-firms-just-made-a-killing/ Virtu Financial (VIRT), the high-speed trading firm that went public earlier this year, was one ...
1
vote
5answers
6k views

How are HFT systems implemented on FPGA nowadays?

I have read about different implementations of HFT systems on FPGAs. Argon HFT system (http://trading-gurus.com/argon-design-an-fpga-based-hft-platform/) Hardware-only implementations or hybrid ...
1
vote
3answers
388 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 ...
1
vote
3answers
88 views

Buy side techniques

I was speaking with a friend of mine about what techniques are used for quantitative investment management, and he told me that, when assuming active positions on the market, even in high-frequency ...
1
vote
2answers
1k views

HFT enhancements for FIX (Simple Binary Encoding) vs proprietary protocols performance and cost

I would like to know from those that have used FIX (with Simple Binary Encoding) for HFT compares with the current (proprietary) protocols in use that often vary per counterparty. Interested in ...
1
vote
1answer
140 views

Can you explain me these comments on high frequency data?

I was reading some slides on high frequency data and i came across these statements: data discreetness induces high degree of kurtosis and Non synchronous trading and risk premium are ...
1
vote
1answer
466 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 ...
1
vote
2answers
161 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 ...
1
vote
1answer
60 views

Regression model syntax

I'm following the methodology outlined in Developing High-Frequency Equities Trading Models. On page 27, the author outlines an OLS regression model to obtain beta coefficients. The model is defined ...
1
vote
0answers
45 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 ...
1
vote
0answers
67 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 ...
1
vote
1answer
26 views

Order ID or Broker information from TAQ or Limit Order book?

Is it possible to see if a big order was executed in smaller chunks, and at what prices and times?
1
vote
0answers
63 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. ...
1
vote
0answers
42 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 ?
1
vote
0answers
99 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 ...