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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5
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1answer
155 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 ...
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1answer
277 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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99 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
1k 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
338 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
248 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
96 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
386 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 ...
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0answers
208 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
134 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 ...
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2answers
304 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
692 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 ...
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2answers
965 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 ...
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1answer
183 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
645 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
355 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
260 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
405 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
116 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 ...
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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
5k 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
197 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
766 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
182 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: "...
3
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2answers
245 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 ...
2
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1answer
111 views

Relationshiop between central bank official currency rates and spot forex

Central banks publish official figures for domestic interest rates, as well as spot currency rates for a few select countries (largest trading partners). To prevent arbitrage, I "expect" that in the ...
8
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3answers
265 views

New ways of communicating risk

One of the scapegoats of the financial crisis was value at risk. Still communicating risks effectively to clients is a big challenge and hugely important (also to keep your job as a quant!) In this ...
4
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1answer
187 views

forecasting trading costs with end of day data

I am trying to create a model that forecasts trading costs (using end of day data, so no intra day data). My trading cost (also called Implemented Shortfall (IS) is defined as such for a single stock, ...
2
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1answer
3k views

Binomial tree vs trinomial tree in pricing options

Very new to pricing models. Is there a general guideline when to use binomial tree and when trinomial tree is preferred? As far as I know, unlike binomial tree, trinomial tree only gives a range ...
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0answers
92 views

Calculating Asset Returns

The question pertains to a simple phenomenon. There is gold futures listed on Exchange A and Exchange B. Exchange A and Exchange B overlap times with A and B starting 8 hours later and A and B ...
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0answers
116 views

How to make the algo decide over a optimal selling point?

Please don't bully if its a basic question.Kinda new to the topic hence experimenting. Problems to construct trading algorithm.For the example I assume I am getting a buy signal from the DMI/ADX ...
2
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1answer
143 views

How to account for correlation between strategies when they are added linearly?

There are n strategies which are going to be combined linearly. Using a pre-exisiting model I get a set of n weights which will be used to combine the strategies. But the model does not take ...
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1answer
354 views

Method to combine trading signals to achieve higher sharpe

There are a few thread with the question of methods to combine different trading signals/strategies. But is there any method that can ensure that by combining two signals, we can achieve a better ...
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0answers
125 views

Straddle neutral strategy

What does it mean to implement a delta-neutral strategy for straddle ? A straddle consists in buying a call and a put simultaneously, at the same date, on same underlying, with same maturity and ...
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1answer
248 views

What does NPV ASSENTED after stock name mean?

For a project, I have to quantitatively implement a strategy for value investing in EURO STOXX 50. I pulled the data from Datastream. When I was checking some data plots for dividend yields and total ...
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3answers
643 views

Research methodology of systematic strategies

Can someone please share your research methodology of systematic trading strategies? I feel like I am always using the a same data driven procedures over different underlyings and would like to get ...
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2answers
333 views

Who holds stock overnight?

I have heard from several different sources, e.g. professors, books and traders, that daytraders and quants avoid holding positions overnight and during holidays and weekends. Instead, they sell their ...
4
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1answer
4k views

Learn backtesting using MATLAB

What are some good ressources (books, articles, ...) to learn backtesting of investment strategies using MATLAB ? It can be strategies related to fixed-income, equities, derivatives, ... whatever. ...
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1answer
729 views

Technical Analysis in FX: literature on effective methods

I am trying to use technical analysis method (Kagi and Renko method in particular) to analyse my high frequency data. I applied those methods over 1 year, 2 years and 5 years high frequency data. I ...
3
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2answers
484 views

Arbitrage and dominant strategies

If there is no arbitrage there is no dominant trading strategy, but there may be arbitrage opportunities even if there are no dominant trading strategies. Could you explain this statement and bring ...
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0answers
70 views

Correct term for position accumulation relative to price?

I've been looking at various accumulation algos and it appears that the greater majority are predicated on building a position largely relative to a time component or market volume for obvious reasons....
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2answers
386 views

what volatility do we calculate using GARCH model

what volatility do we calculate using GARCH model, Historical vol or Implied vol or Future Vol or Actual vol.
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1answer
1k views

Various ways to choose bonds for a butterfly strategy?

What are the various ways to choose bonds for a butterfly strategy? For eg., I already know the most common one i.e., choosing short and long term for the wings (barbell) and the medium term for the ...
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2answers
180 views

Automatic trading strategies - what are benchmarks for PL on serious backtesting?

There are plenty books and sites which offer automatic trading strategies (robots) and claim they are very profitable. On the other hand many people do not believe in such things, saying that: if ...
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0answers
1k views

How to calculate returns of backtested strategy?

Lets say I have some strategy (long/short) backtested for certain period. Strategy has entries/exits only at the end of the day and may have overnight positions hold. Now I would like to compare ...