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Questions tagged [quant-trading-strategies]

Quantitative trading strategies use quantitative signals and a set of predefined systematic rules to make trading decisions. Strategies operate within parameters based on historical analysis (backtesting) and real world market studies (forward testing). Strategies may be executed manually (by a human trader) or automatically (by a computer).

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4
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1answer
167 views

Do high dividend yield stocks generally outperform the market?

The only paper I could find is the following: Dividend Yield Strategy in the British Stock Market 1994-2007 by Brzeszczynski et al. (2008) It states that a portfolio of stocks with high dividend ...
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0answers
164 views

How to calculate implied borrow rates from option chain information?

I am given information about a ticker with following options data: stock price, date, expiration date, strike price, call / put indicator, style (American or European), ask price, bid price, mean ...
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539 views

Questions on Kelly criterion

I am new to asset allocation problems and have some concerns regarding the derivation of the continuous-time Kelly criterion (i.e. not the original version destined to discrete sports betting/Casino). ...
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2answers
243 views

Regression coefficient and basic trading strategy

This question might be very basic but still I couldn't really find a satisfying answer anywhere. I want to analyse the effect of a repeated event (data release) on the price of a specific asset (I ...
2
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1answer
124 views

What does an optimized portfolio really tell us?

I am very new to this field, and have very recently started doing some self study on this topic. After reading some papers and reproducing some of the results in them, I am not very clear about what ...
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61 views

Account for empirical relationship between signal and market data

I have two monthly time series : one is a 'signal', on which I will base my decision to buy or short-sell, and the second one is the time serie of a given asset's price. I have implemented this ...
4
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1answer
522 views

Selection of optimal backtesting parameters

Suppose I backtest some strategy on in-sample data while varying two parameters, say $X$ and $Y$. $X$ can take the values $\{3,6,9,12,15,18\}$ while $Y$ can take $\{10,15,20,25,30\}$. I want to select ...
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0answers
39 views

Toxic FX Flow - how to avoid it [duplicate]

So, basically i want to debate and find out the real reason behind being flag by ECNs and venues as "toxic". How to avoid being flag? What kind of strategies are toxic and why? Below is an article ...
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362 views

cointegration strategy

If it can be proved that two time series $$S_t^1=\alpha + \beta S_t^2 + \xi_t$$ representing stocks are correlated, with $\beta=-2$ and then are proved to be cointegrated, how a portfolio should be ...
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3answers
2k views

How to get historical fundamental data in Bloomberg suitable for backtesting?

I'm trying to retrieve historical stocks fundamental data from Bloomberg to backtest some quant ideas. I'm having trouble to find the correct point in time the data was available. For instance, the ...
5
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3answers
898 views

Simple Moving Average Backtest: Cumulative Return too high

I apologize if this is way too basic a question, but I'm an absolute beginner to trading and am in the process of learning the fundamentals. Currently I'm trying to model a (10-day) SMA backtest in ...
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0answers
2k views

Finance Projects in Python [closed]

I am new to this forum. I work in the Market Risk Domain at a leading Investment Bank. I am currently learning Python. And the best way to learn is to experiment with some Real Live Analysis/Project(...
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0answers
397 views

FX Statistical Arbitrage Strategy [closed]

I have had experience creating stat arb strategies for equities and etfs, but haven't dabbled much into FX trading. I was wondering if anyone knew any resources online they would suggest, or could ...
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1answer
6k views

Replication strategy of European call option

So the question asks: L et $S(0) = 120$ dollars, $u = 0.2$, $d = −0.1$ and $r = 0.1$. Consider a call option with strike price $X = 120$ dollars and exercise time $T = 2$. Find the option price and ...
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1answer
232 views

Kfold cross validation: how to handle hold-out periods

I want to backtest a strategy using K-fold cross validation. Assume I have a period of 300 days in my backtest. I divide it into 30 folds of 10 days each. On day 1 of a fold, I enter a trade, and ...
3
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1answer
206 views

Using Market Gamma to Predict FX Trading Environments

I want to test a hypothesis about using gamma to predict FX movements. Suppose that market makers will seek to be delta neutral given their portfolio of FX options. At any given time, market makers ...
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0answers
181 views

Optimal approach for finding a profitable trading strategy to automate? [closed]

I am currently searching for an optimal approach for finding profitable forex trading strategies to automate. Currently, I just try to combine various indicators and build an automated trading system ...
2
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0answers
64 views

Literature to Learn about Different Instruments

What is a good source of literature to learn about the specifics of various instruments that are traded? For example, suppose I wanted to know more about MBS's, i.e. how exactly they are securitized, ...
7
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3answers
478 views

What is smart beta, alternative index, factor investing?

What is smart beta, alternative index, factor investing? Are they basically the same thing? Construct a benchmark index using schema other than market cap?
2
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1answer
2k views

How necessary is real analysis and complex analysis for trading at hedge fund levels?

As the title states, I am basically wanting to know the applications of real/complex analysis in finance. How important are such high levels of math ? I can obviously see how things such as ...
7
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1answer
1k views

Is trading mean reversion of small principal components of prices profitable?

Many have told me that it is a good idea to look at the third principal component (PC) of yield curve movements, as well as third and fourth PC of G10 currencies. They claim these PCs represent "...
5
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1answer
163 views

Why the diff of signal is called positions and what does it mean in backtesting?

I'm trying to learn Backtesting 101. I found this example which is very simple but I do not quite understand some of the terms. I understand Moving Average algorithm which is to measure trends or to ...
10
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2answers
4k views

R Backtesters: Quantstrat vs SIT

I am learning R, and want to start using a backtester. I have spent about a day reading all I can about R backtesters, and it seems there are 2 main contenders: quantstrat, which uses the packages ...
2
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1answer
285 views

Reference request: Quantitative Trading Strategies [closed]

I intend to thoroughly prepare for an internship that I will start in a couple of months, and therefore wanted to clarify what topics I need to study and some recommended references for them. The ...
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1answer
1k views

High frequency trading and trading costs

What kind of deals do high frequency traders have with brokers or exchanges regarding commissions for stock trading? For an individual, it is nowadays possible to get to as low as 10 basis points per ...
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0answers
102 views

References about market neutral portfolios that isolate unsystematic risk

I am looking for references, information, backtests etc. about market neutral portfolios that go long the index and short stocks of that index with high unsystematic (idiosyncratic) risk. The idea is ...
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3answers
2k views

Why is there a stong intraday-correlation between spot and vol?

Fig.1 shows an intraday scatterplot of the DAX future against its volatility index VDAX on 6-Jan-2016. The data suggest a strong negative correlation between the two. There are various models ...
3
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1answer
343 views

Is that a good way to work with the ARMA model?

I would like to share with you what I am doing to get your point of view, and to make a better trading system in collaboration. I am working on EURUSD forex, and I am trying to find a way to place ...
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2answers
269 views

Is anybody using 13F-HR data for making strategies?

I see that a lot of quants work on high frequency strategies. Mostly used data are prices, volumes. I wonder, is anybody using data on funds positions, which they have to disclosure quarterly under ...
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0answers
100 views

Real Time/Historical weather data

I am looking to incorporate weather data into my algorithmic models. What is a good source to find historical + real time weather data by zipcode or region? Any help will be appreciated! Preferably an ...
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0answers
395 views

How to add buy/sell market on a long/short Bollinger Bands graph in python? [closed]

I am using python, pandas, matplotlib to do the following: I have plotted some stock data ...
3
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0answers
212 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. ...
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0answers
138 views

What are the best online platforms to hire a quant? [closed]

I have already written the base of a trading algorithm, however there are some optimisations that I would like to add that might be best programmed by more experienced quantitative programmers. This ...
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3answers
4k views

What is an acceptable Sharpe Ratio for a prop desk?

What should be the value of a Sharpe Ratio for an intraday quantitative strategy to be accepted by a bank or hedge fund's prop desk? Let's assume the returns are daily changes in account equity, close ...
4
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2answers
307 views

How to trade a Ratio?

I came across a ratio plotting of Corn And Soybeans contracts, notice it's in a historical low, an intuitive question came to my mind, how should I trade this ratio (or relationship)? It's unlike flat ...
6
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1answer
727 views

Momentum - skipping the most recent month

Many momentum studies skip the most recent month when calculating momentum to account for "reversal effects." On the other hand, I've read online that some people get better results from not skipping ...
4
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2answers
984 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 ...
2
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1answer
190 views

Is there any application of power law to predict large returns?

Power law basically states that after a certain threshold, probability distribution $p(x)\sim c\,x^{a}$ where $x > x_{min}$, which is often the case for financial time series. It is also generally ...
12
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1answer
666 views

What mathematical models did Harry Markopolos run to prove that Bernie Madoff 1% a month gain was a Ponzi scheme?

http://www.cbsnews.com/news/the-man-who-figured-out-madoffs-scheme-27-02-2009/ Asked how long it took him to figure out something was wrong, Markopolos said, "It took me five minutes to know that ...
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1answer
370 views

What is the logic behind this backtesting code in R

I am new to R and I have found this simple backtesting code and can you explain me what is happening here. ...
3
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1answer
272 views

Self-Frontrunning Arbitrage

If I have a large order to fill, shouldn't I always buy a derivative in the same direction to profit from the market impact? E.g. I sell 1 million shares and so I buy a put, which will hence almost ...
6
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2answers
415 views

Is there any research on pyramiding techniques of entering/exiting a trend?

I am looking for any research about optimal strategies for gradually building (scaling in) positions inside a trend as well as optimal gradual exit strategies on pullbacks/reversals to minimise ...
4
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0answers
119 views

How does one simulate intraday strategies which don't end up flat at the close?

I ran into this trying to simulate trading interlisted names between the NYSE and the TSX. Depending on my strategy parametrization it would sometimes end up with a significant short or long dollar ...
6
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8answers
3k views

Why are Quantquote historical trades different vom ActiveTick historical trades

I bought quantquote.com historical data of AAPL on second basis. To comapre I also got activetick.com For activetick I used the historical trading API. If you look at around 15:13:53 you see that ...
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2answers
6k views

What are Barra style factors useful for?

I'm reading the paper's summary of: Beckers, Stan, and Jolly Ann Thomas. "On the persistence of style returns." The Journal of Portfolio Management 37.1 (2010): 15-30. about how some of these '...
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2answers
7k views

Orderbook Arbitrage

The order-books of trading exchanges are often hidden as so-called "Dark Pools". The measure was taken to avoid apparent market manipulation strategies executed by traders back then. Which such ...
4
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2answers
2k views

How to optimize return in a moving average crossover algorithm

Moving average crossover strategy is a widely used strategy in algo trading. Is there a way to optimize return in a moving average crossover stratergy. I have used this site to backtest MA crossover ...
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2answers
202 views

Major categories of tradable securities and the ETF's that track them?

I'm just starting to learn about quantitative finance and I'm overwhelmed by the amount of tradable securities out there. I'm seeing all these things like VXX, TLT, TMF, SPY, SPXL, HYG, VWEHX and so ...
4
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2answers
783 views

Covariance between two stocks in a two-factor model

I am studying the Arbitrage Pricing Theory using Pairs Trading: Quantitative Methods and Analysis.In page 44 the author gives an example on how to calculate the covariance between two stocks. I will ...
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0answers
187 views

ISM PMI data - sector trend through ranking and seasonal decomposition

I have monthly data for each of the 18 sectors in the ISM PMI. Each datapoint shows the trend of a sector: growing, contracting or neutral. It also tells the strength of that trend with a number: "...