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 ...

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25 views

Bloomberg Historical Fundamental Data - Point in time

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 ...
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1answer
24 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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27 views

Performance measure

Can anyone give some intuition behind the relative performance measure that is a percentile raking of trading activity. It indicates the percentage of total activity the investor outperformed the ...
2
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0answers
83 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 ...
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0answers
53 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
36 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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20 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 ...
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1answer
58 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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61 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 ...
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0answers
33 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, ...
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1answer
84 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?
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1answer
107 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 ...
5
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1answer
150 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 ...
4
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1answer
63 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 ...
6
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1answer
259 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 ...
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38 views

Min. Spanning Trees, Planar Maximally Filtered Graph US equities?

Does anyone know of any free source of recent or preferably regularly updated Minimum Spanning Trees, PMFGs or other similar maps for US equities? (S&P 500 will do.)
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1answer
79 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 ...
6
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1answer
157 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
35 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
315 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 ...
4
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1answer
110 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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0answers
22 views

Slippage as Transaction Cost

What is a best procedure when to include/not include slippage into a trading model. If you include it in high freuency trading style model, you never make money because slippage eats away all your ...
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0answers
29 views

Constructing Dedicated Risk Premia Strategies

I am trying to figure out the "best" way to construct investment strategies which are focused on capturing specific risk premia individually. From my understanding the traditional approach to capture ...
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1answer
56 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 quarnerly under ...
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59 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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35 views

What do you think of refining and testing your strategy over the same period

What do you think of refining and testing your trading strategy over the same 2 years? Is it good to do this, or is it not?
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156 views

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

I am using python, pandas, matplotlib to do the following: I have plotted some stock data ...
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1answer
190 views

Can I use PyAlgoTrade for Forex?

Is it possible to use PyAlgoTrade for Forex related algorithms? If it is, please point me in the right direction on how to get PyAlgoTrade to work on Forex data.
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0answers
79 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
71 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 ...
4
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3answers
379 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
245 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 ...
5
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1answer
171 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 ...
2
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1answer
345 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
93 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 ...
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1answer
358 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 ...
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1answer
160 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. ...
4
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1answer
160 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
247 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 ...
3
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0answers
91 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 ...
3
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4answers
621 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
246 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
761 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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1answer
296 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
35 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
285 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
71 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: ...
2
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2answers
144 views

Short volatility strategy using strangles

For a short volatility strategy using option strangles, is it better to target a fixed premium to earn? Or a fixed vega? Objective is to maximise the return/risk (sharpe) of the strategy. Any help ...
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0answers
41 views

Test for NonLinearity

I am doing a regression, returns of stocks(cross section of stock returns at a given time) against some fundamental factors. And look at the residuals to get a normalized view when trying to rank the ...
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66 views

Choosing an optimal dependent variable, regression/model fitting

When I select a certain target variable and model that with either linear regression or some other technique, say naive bayes, I hope to finally arrive at a model which has statistical significance, ...