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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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2answers
202 views

Applying my Machine Learning class (possibly to small markets) [closed]

I've finished a university course in statistical machine learning that covered topics such as regression, classification, neural networks, SVM, PCA etc. The class was quite tough and rigorous (we had ...
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2answers
117 views

How to test a strategy with a small capital? [closed]

I have developed an algorithm / model that predicts the next day direction of CBOT wheat futures. It performs sufficiently well in backtesting that I'm interested to see how it would perform with real ...
3
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0answers
620 views

Rationale behind volatility dispersion (or correlation) trading

When looking at the explanation of CBOE S&P 500 Implied Correlation Indices available here, it is written that such indices: [...] "may be used to provide trading signals for a strategy known as ...
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1answer
94 views

Literature on credit risk premia

I am looking for a comprehensive ressource describing known strategies of credit risk premia. Is there such kind of articles/books/websites?
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1answer
170 views

How well would Technical Indicators have done before creation?

Backtesting technical indicators (that determine market psychology) - how well would they have done? For example RSI was published in 1978. Before its creation - did it performed better or worse?
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2answers
187 views

Questions on continuously compounded return vs long term expected return

I have reading a paper from Oliver Grandville on long term expected return. I am trying to reconcile what I am reading in that paper vs what I see under "Application to Stock Market" in Kelly ...
2
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1answer
400 views

Algorithmic Trading [closed]

I am a novice when it comes to algorithmic trading with strong interest in the subject matter. As I am looking around for online courses, I can only find one course called Algorithmic Trading ...
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3answers
6k views

How to distinguish between different types of algorithmic trading

Algorithmic trading involves the use of algorithms to optimally execute trading instructions. Then there are algorithms which initiate trades, based on various quantitative strategies (e.g. pairs ...
24
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3answers
7k views

What are the best sources for equity quantitative research?

What are the best sources of quantitative finance research in equities? I will list a couple and note an asterisk if the research is available by request (i.e. non-clients) or online: BAC-Merrill ...
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3answers
491 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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0answers
65 views

Reduced rank / matrix factorisation techniques and their uses in portfolio optimisation?

I am interested in reduced rank / matrix factorisation techniques and their uses across finance and portfolio optimisation. For example, PCA might be used to reduce the number of components you are ...
3
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0answers
424 views

Can a stat arb alpha be a global macro alpha?

In academic literature, "statistical arbitrage" is opposed to (deterministic) arbitrage.[1] In deterministic arbitrage, a sure profit can be obtained from being long some securities and short others. ...
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2answers
1k views

Test statistical significance of a trading strategy

I have created a trading strategy which operate every single day on the DAX 30, for the last 1700 trading sessions (some years). I have the daily returns of my strategy and also the daily returns of ...
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0answers
53 views

Flow Variable and Stock Variable

I am new to stochastic control and I need your help! Suppose that we are a trader and we are trading based two sources of signal. One comes from the stock's flow of dividends as well as another trader'...
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0answers
240 views

Quantitative Strategy on Variance Swap (master thesis)

I am doing a master thesis on Variance Swap and my dear friend told me I could find some valuable help on the "Quantitative Finance Stack Exchange". I would like to apologise beforehand, if my ...
3
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0answers
139 views

reconstruct LOB from NASDAQ ITCH -how to handle market price order

I am trying to reconstruct the limit order book from the NASDAQ Historical TotalView -ITCH data. After I decode the raw data, I can successfully generate whole messages flow from ITCH data. However,in ...
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0answers
350 views

Trading strategies for increased realized volatility

Suppose once every 2-3 weeks I have a way to select a few equities that are likely to exhibit higher realized volatility in the future month (relative to the past month). Historically, the average ...
2
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1answer
541 views

Example of delta one products

Not sure if this is the right place to ask such question. How close to 1 should the delta be in order for the product to be classified as delta one. 2.What examples of delta one products are there?
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0answers
2k views

Improvement of Alpha Expression [closed]

I'm newbie user of Websim (websim), given Alpha Expression : (est_eps * (cashflow/sharesout) * (est_sales/sharesout))/est_dividend_ps Settings-Region:USA, Universe:TOP3000, delay:1,MAX stock weight :...
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1answer
3k views

Calculating the returns of a long/short strategy

I feel like an idiot asking this but i haven't found the answer anywhere. I have backtestest a paris trading strategy, while calculating the returns of the strategy I run into some problems when the ...
2
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1answer
90 views

What instruments help me receive a premium?

Apart from selling options , what other instruments can I trade(sell) to collect a premium ? The main problem that I face is as follows : I am buying a Call option which I would like to fund by ...
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2answers
461 views

Quant/Stat Factor Performance Website/Distribution?

Does anyone know of a decent quant/stat factor website, distribution(public or private) or publication that tracks performance of "many" of traditional quant/stat factors? By that I mean would show ...
2
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1answer
114 views

Finding robust regions of multidimensional parameter combinations in trading strategies

Trading strategies often have many degrees of freedom. As a toy example let's say you have two moving averages (MA) which trigger a trade each time they cross each other: There are at least two ...
4
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4answers
792 views

portfolio diversification tester

Are there any online tools (optionally with developer API, to spare me the scraping) that given an existing portfolio, calculate how well a new candidate position would score to increase combined ...
4
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1answer
565 views

Ed Thorp Wilmott Articles

I've been really enjoying Ed Thorp's autobiography, and it makes me want to revisit some of his old Wilmott articles, listed here: http://www.wilmottwiki.com/wiki/index.php?title=Thorp,_Edward ...
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5answers
2k views

How to properly evaluate backtest returns?

Do you evaluate a strategy in a backtest based on the cumulative returns generated by the strategy (i.e. looking at the cumulative returns of the trades that occur) or do you start with a certain ...
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7answers
1k views

Do quants need to know Accounting?

Do quants need to know Accounting? In my school's undergrad Quant program, we had Financial Accounting and Managerial Accounting, which were listed as prerequisites for our undergrad Finance subjects....
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1answer
289 views

Simple Sharpe Ratio Question Related to Trading Strategy

Given a price vector $(p_1,p_2,...,p_n)$ for some stock, then the corresponding return at $k$th day is described by $$ R_k = \frac{p_{k+1} - p_k}{p_k} $$ On the other hand, let $W_k$ be wealth at day ...
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1answer
204 views

How to identify a change in market dynamics?

As a beginner, I'm learning how to make good trading strategies. One of the things to consider for reliable backtesting is the Minimum Backtest Length, whose selection is basically a tradeoff: Too ...
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2answers
324 views

Making a Trading Strategy Industry-Neutral

Here's a toy example of a simple trading strategy that I just read about (from a book called "Trading Alphas"): Let's say that we expect a stock that's been going up over the past week to now go down,...
8
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5answers
996 views

Indicators and research for stress-based investment strategies

In reference to this paper: Can risk aversion indicators anticipate financial crises? and the investable UBS Risk Adjusted Dynamic Alpha Strategy: http://www.ibb.ubs.com/mc/strategyindices/ubsrada/...
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3answers
15k 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 ...
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1answer
136 views

Currency/Forex Hedging using Momemtum Strategy

Mainly the two ways I could find on currency hedging are using forwards (to lock in a future exchange rate) and options. However, I'm curious whether currency can be hedged via some commonly known ...
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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0answers
130 views

Self financing strategy : how to understand it in continuous + transaction cost model?

I'm having a hard time trying to understand a formula about self financing strategy trading. Let's suppose you have two assets, $\phi=(\phi_0,\phi_1)$ is the vector that represents the quantity you ...
1
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1answer
504 views

Computing the profits for a simple trading strategy (Backtest)

I have developed a trading algorithm, surprisingly simple in nature (I did start off with grand plans of applying Machine Learning to this problem as I am a data scientist by trade). I would place ...
-1
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1answer
444 views

Trading strategies for illiquid markets [closed]

Is there any literature on trading strategies for illiquid equities markets, such as research papers or articles? I've done some searching but haven't turned anything up.
2
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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 ...
2
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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 ...
1
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0answers
193 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: "...
4
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1answer
169 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 ...
4
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0answers
1k views

Meaning of cross sectional rank

This paper mentions the concept of rank which is defined as cross sectional rank. For e.g. one of the alphas (#3) is (-1 * correlation(rank(open), rank(volume), 10)) 10 is just the number of days ...
5
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2answers
244 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
370 views

Interpretation of Open Interest for Options

Please define Option Open Interest, its interpretation, and why it matters? From my understanding, option open interest describes the net of long-short outstanding call or put options. But I do not ...
2
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0answers
84 views

Trading rules from automated search

I after talking to a research fellow, researched about trading rules from automated search. I found in the book Finding Alphas by Tulchinsky a general chapter, ...
2
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3answers
870 views

Cointegration pair trading - how to test a trading rule using Monte Carlo?

I am doing a research exercise where I have two price series $X_t, Y_t$ which I regress against each other and test for cointegration. Once I confirm that they are cointegrated (using CADF or ...
2
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0answers
366 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 ...
3
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1answer
250 views

Should a backtester have ability to run multiple strategies simultaneously?

At the moment the backtester has a portfolio; a portfolio is associated with one strategy. The backtester is used to test different strategies one at a time, giving their return, Sharpe, drawdown. But ...
4
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2answers
996 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 ...
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 ...