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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9 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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19 views

What are the different algorithmic trading strategies available for an individual trader [on hold]

I am new to algorithmic trading (automatic or semi-automatic) and i am really curious about its working. To understand more about algo trading I am reading the book An introduction to algorithmic ...
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0answers
18 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 ...
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2answers
150 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
28 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: ...
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29 views

Convert volatility of log returns into volatility of asset (bollinger bands)

I am using a model to estimate the volatility of the log-returns of an asset (standard stochastic volatility model for info) The main question is: How can I find back the windowed volatility of this ...
36
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9answers
14k views

How useful is the genetic algorithm for financial market forecasting?

There is a large body of literature on the "success" of the application of evolutionary algorithms in general, and the genetic algorithm in particular, to the financial markets. However, I feel ...
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3answers
201 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 ...
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2answers
96 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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1answer
1k views

Can momentum strategies be quantitative in nature?

I have read some papers on quantitative trading strategies and it seems like strategies that focus on mean reversion or statistical arbitrage give signals that are dependent on some quantitative ...
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31 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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26 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, ...
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1answer
965 views

What is the best alternative of Quantlib library

We need to build a Fixed Income Portfolio Risk Analytics solution. Somehow due to administrative reason we can't use Quantlib which is written in C++, even call it through SWIG via JNI. We have tried ...
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1answer
46 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 ...
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0answers
74 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, ...
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1answer
91 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
14 views

use of recurrence quantification analysis for deterministic signal identification and classification

The recurrence quantification analysis (RQA) is a method of nonlinear data analysis which quantifies the number and duration of recurrences of a dynamical system presented by its state space ...
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8answers
7k views

How are cryptography and speech recognition technology applied to forecasting financial markets?

One of the answers to my previous question regarding the strategy of Renaissance Technologies, there was a reference to The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly ...
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0answers
46 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 ...
12
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4answers
3k views

How to combine multiple trading algorithms?

Is it possible to combine different algorithms so as to improve trading performance? In particular, I have read that social media sentiment tracking, digital signal processing and neural networks all ...
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0answers
41 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
87 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
79 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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0answers
83 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 ...
2
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1answer
177 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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3answers
184 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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0answers
58 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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3answers
4k views

What is the difference between the Interactive Brokers demo account and a personal paper trader account?

I'm interested in testing my trading strategy using the Interactive Brokers API for Trader Workstation. A demo account is provided to play with TWS for free, but if I fund a real account I will be ...
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1answer
82 views

conservative approach payoff table

With the conservative approach, we choose the decision which maximises minimum payoff. I was wondering which decision is chosen if 2 decisions have equal minimum payoff (which is the maximum)? ...
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2answers
176 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 ...
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1answer
566 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. ...
3
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2answers
235 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 ...
1
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1answer
198 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 ...
7
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3answers
6k 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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2answers
107 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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21 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 ...
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2answers
141 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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0answers
176 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 ...
12
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3answers
4k views

Papers about backtesting option trading strategies

I am looking for all kinds of research concerning option trading strategies. With that I mean papers that publish results on different option trading strategies properly backtested with real-world ...
5
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1answer
689 views

What are the textbooks used to teach Quantitative Trading at universities?

For example, Stanford has a class on quantitative trading. But i am not able to determine what are the textbook(s) used in this course. The same also applies for similar courses at Stony Brook, ...
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0answers
64 views

seasonality and generalized additive model

I am reading a report which talks about seasonality. There is a chart showing the average returns for each month of the year. In the chart it appears the last 3 months of the year tend to be negative. ...
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1answer
137 views

quadratic programming portfolio optimisation

I am using MATLAB to do an optimisation. The QP minimisation problem is set up in the standard form shown below. The optimisation is used to calculate the weights (x vector in the equation below) of a ...
1
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1answer
72 views

optimisation problem with linear constraint

I have an optimisation problem. I wish to maximise a function subject to a constraint. It is the constraint that is causing me problems. I am using an addin in Matlab which does the optimisation ...
2
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2answers
250 views

How to select optimal betting strategy from backtest?

I have written a model for predicting the winner of UFC fights. My model calculates the probability of each fighter to win a given match. I have back tested the model and found it to be very ...
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1answer
233 views

Analog - Pattern Recognition model using KNN

I'm building a pattern recognition model for my master thesis. The idea is to build a framework with some Macro variables (long/short term rates; rates differential; equity; fx; vix) in order to find ...
3
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3answers
185 views

Capital Allocation for Portfolio of Multi-Strategy and Multi-Instrument

I would like to know if there is a way (or theory) to manage a multi-strategy, multi-instruments portfolio that would calculate the optimal weight to allocate capital for each combination of strategy ...
12
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5answers
2k views

How to optimally allocate capital among trading strategies?

I'm trying to find an optimal way to allocate capital among trading strategies. "Quantitative Trading" by Ernie Chan claims on page 97 that the optimal fraction of capital to allocate to a given ...
2
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1answer
181 views

Bootstrapping Sharpe Ratios

A similar question to this was asked here: How do i test the significance of Sharpe ratio of a strategy using bootstrap I have bootstrapped the original time series (using block bootstrapping) and ...
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0answers
46 views

Fixed Income Swap Sharpe Ratio Calculation

I have a Fixed Income based strategy based on swaps. Q1.) Given that swaps are based on a "notional" principal and no actual exchange of principal's takes place, is it fair to assume a funding cost ...
6
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4answers
267 views

Efficient Markets Paradox

Basically all Quant Finance theory is build on No-Arbitrage presumption and Efficient Markets Hypothesis. The known Grossman-Stiglitz Paradox says: if one can't make money from trading, one wouldn't ...