Questions tagged [high-frequency]
For questions dealing with market data sampled at high frequencies, such as tick data and intraday data.
253
questions
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Market impact estimation [duplicate]
Can anyone provide us with an empirical example (in Python) of market impact visualization, methods of its estimation (in the framework of a parametric model for impact functions) ?
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Particle Filter Importance Weight (SIR) Calculation for Price Series
I applied a particle filter on a price series but I am not sure if my maths checks out, especially at the update part. I've followed this tutorial and Kalman-and-Bayesian-Filters-in-Python from Roger ...
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227
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How to determine which realized volatility estimator should be used?
There are so many realized measure have been invented in the past years like TSRV, MSRV, KRVTH, KRVC... But how to choose them in practice?
I know we cannot find the "estimation error" of ...
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27
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Privatelink latency impact
I am working with a team on a market making algorithm on Huobi. We are integrating our infrastructure in AWS and when you are a S tier you can get a privatelink which is about 10 to 50 ms faster than ...
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How often do maker orders arrive together with matching taker orders on modern exchanges?
Table below shows messages that were recently collected from the Full channel of the websocket feed of the well-known cryptocurrency exchange:
The full channel provides real-time updates on orders ...
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102
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How to exactly calculate lag between 2 exchanges
Let's assume that there are two exchanges. One exchange is slow for various reasons.(for eg it is an open outcry versus electronic exchange) Even when there is no lag the prices will not match exactly ...
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75
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State-of-the art factor models for intraday event studies
I want to do intraday event studies. For this purpose, I have stock data on a 15 minutes interval.
What is/are currently the state-of-the art factor model(s) for calculating intraday (ab)normal ...
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81
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What is the fastest market data feed provider for US stocks?
I'm a high frequency trader who trades alone, please what is the fastest market data feed i can get for US Stock markets?
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171
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Memory effect of log returns of S&P 500
I am trying to reproduce the analysis discussed in https://arxiv.org/pdf/cond-mat/9905305.pdf where they use high-frequency data (1-minute frequency) of S&P500 from 1984 to 1996. In particular, ...
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269
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At what time step the microstructure noise start to kick in?
When looking for papers on-line I often find things designed specifically to deal with micro-structure noise. I spent some time trying to understand / implement / test them for results that vary ...
- 1,159
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215
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Stochastic equation in "High Frequency Trading in LoB, Sasha Stoikov and Marco Avellaneda"
I am reading paper High-frequency trading in a limit order book by Marco Avellaneda and Sasha Stoikov. Please help me to understand how they rewritten and obtained function
$$
v(x,s,q,t)= -\exp(-{\...
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What is C++ used for when writing code at High Frequency Trading firms?
Okay. This might be a pretty dumb question, but I really want to know what is it that the high frequency trading firms write in terms of services that requires C++.
Background
I am a Rust and ...
- 121
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72
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What are some common methods for calculating short term historical volatility (i.e. look back 5 minute time periods)
I'm interested in quantifying the impact of short term price volatility on a particular strategy I'm running. So far I'm simply calculating the standard deviation of log returns, but I'm a bit unsure ...
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158
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Alternatives to RDBMS for options backtesting
I've assembled a large dataset (~2B+ records) of options price data in MySQL for backtesting purposes.
At a number of points, due to the sheer amount of data being retrieved and filtered, processing ...
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54
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Analyzing BBO Change Tick data (vs. Trade Tick Data)
I have historical FX "tick" data from Dukascopy. Each tick is generated when Dukascopy receives a quote from a liquidity provider that is equal to or better than the best-bid-and-offer (note:...
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Intraday Factor Analysis, measuring intraday alpha, etc
I understand that models like the Fama-French 3 factor model are sometimes regressed against portfolio returns to compute an intercept value to understand if the portfolio captures common factors or '...
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63
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Source for Intraday or High-frequency stock price data
I am in search for intraday (some observations per day would be fine) or high-frequency data for stock prices. I have for example 3.000 ISIN numbers of German companies and want to get the intraday/...
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Modelling queue position
Is there any viable way for me to know the dynamics of my LOB position? Lets suppose the LOB is order based LOB, and i send a order to this level, can i know if the qty in front of me cancelled vs ...
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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 ...
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2
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425
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Predicting price direction from order flow at high frequency
I have access to high frequency data for a few instruments using which I can simulate a limit order book.I would like to predict direction of price(best bid/ask) in the short term(1 sec, 5 sec and 10 ...
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Execution Strategies
I have a rather broad question. Not sure how to best put it.
Does anyone have any papers/resources on how to improve the execution model of any strategy?
Would it be different if strategy under ...
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How to derive the HJB equation under this paper's context?
I'm reading this paper:High frequency trading in a limit order book.
IN section 3.1, an HJB equatioin was given without any details. Could anyone show how to arrive this equation step by setp? I have ...
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probability on strategy expected return
I’ve been thinking about this for awhile and couldn’t figure it out myself.
Assume you have a trading strategy, which return is normally distributed.
strategy return has a mean of 1 basis point and a ...
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Sharpe ratio from second returns? HFT
I have an intraday trading strategy so I take several positions each day. I have prices for each stock, with a 10 second resolution. So the data looks like this:
...
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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?
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How long do algorithmic trading strategies typically remain profitable?
As I understand it, an algorithmic trading strategy could lose profitability, if, for example:
it's rediscovered by others
employee turnover leaks the strategy to others
market conditions change ...
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1
answer
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Is there a HAR that deals with the leverage effect?
The EGARCH is a special GARCH model that treats the leverage effect of the volatility. The HARV does not make a distinction between negative and positive returns. Is there a special HARV that deals ...
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158
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queue position value in all limits in the book
How would you evaluate the value of an order in a given limit at a given queue position in the order book ? For example let's say I am a market maker in BTC-USD and I would like to play some HFT games ...
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2
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166
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Mechanism for Tick Rule for Trade Classification
I see a few papers using the following tick test to classify a trade as buy/sell initiated trades: compare a trade price to the previous differing trade price, if the current price is higher/lower, ...
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167
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How to model financial HFT time-series data with multi scale autocorrelation
I work with tick level time-series univariate prices data. Tick level means that there are hundreds to thousands observations per second. The observations are timestamped, so one can use both wall ...
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Can someone explain to me the square root law of market impact?
The square root law is shown here: Market impact, why square root?
Let's say I want to execute 100 lots. But I have never executed before so I have no idea what n is historically. How would I ...
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250
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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\...
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Finding option price using intraday data [closed]
I have the option price at a rate which is much smaller than the rate at which I have tick data for the underlying. If I have option price at times $t_1, t_3, t_5$ and I have tickdata at $t_1, t_2, ...
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Optimal bandwidth for Realized Kernel
If I want to estimate Realized Kernel for 1 min bins, is there a way to compute the optimal bandwidth?
In the reference paper: Realised Kernels in Practice: Trades and Quotes (Ole Barndoff-Nielsen et ...
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473
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Complexity of using balanced-tree to model order book
I have bene researching on the best data structure to implement a limit order book. Some of the most common implementations include arrays and balanced trees. This link has a good set of references.
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modeling the volume of TOB of a LOB
In Limit Order Books, orders at the same price are grouped and I call this group of orders a "price level"(I don't know if there's a name in literature).
The total volume in this price level ...
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aggregate and convert tick-by-tick using fx data
I have tick-by-tick data of an asset X denominated in EUR and minute-by-minute data on EURUSD. If I wanted to convert my tick-by-tick data to USD would it make sense to just consider every bucket of ...
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209
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Short Term/Intraday Momentum Strategies
I am currently interested in doing some research on short term/intraday momentum trading strategies (highly liquid large cap stocks), especially to test if there are profitable strategies on higher ...
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2
answers
327
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Should Fama-French coefficients be calculated with daily or monthly returns?
I noticed when I regress the return of a portfolio on the Fama French 3 factor model that the value and the statistical significance of the coefficients vary when I use daily versus monthly portfolio ...
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2
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681
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Decode stock market data from C++
As practice, I have been wanting to parse exchange data and try to build an order book algorithm on my own. I found some sample data from NYSE: ftp://ftp.nyse.com/Real%20Time%20Data%20Samples/NYSE%...
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444
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What are the main types of orders on an exchange?
I'm currently reading Michael Lewis' Flash Boys, which is about high-frequency trading. It was published in 2014 and it says that there are 150 types of orders on exchanges (mainly built for HTF ...
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196
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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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2
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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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1
answer
632
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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 ...
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answer
158
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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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3
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423
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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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answers
140
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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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answer
822
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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 ...
- 147
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271
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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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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 ...
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