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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2answers
66 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
48 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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1answer
38 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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0answers
25 views

Where to find agent-based software for the stock-market?

I am looking for game theory agent-based software to run simulations of the stock market. Ideally it would be a software where i could manipulate the variables and possible the underlying assumtions ...
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1answer
54 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
72 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 ...
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3answers
3k 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 ...
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1answer
271 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
47 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
90 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 ...
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1answer
68 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
137 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
101 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
117 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 ...
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5answers
1k 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
94 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
33 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 ...
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4answers
198 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 ...
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5answers
1k views

Would this extremely simple strategy make money?

Find a diversified set of financial instruments by whatever method you like. Every day, buy each instrument at the open price. Historically, the open price is almost never the high. Sell immediately ...
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8answers
2k views

How to design a custom equity backtester?

I was thinking about writing my own backtester and I realize I have to make some assumptions. So I was hoping I could post what I am planning on doing and hopefully some of you can give me some ideas ...
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1answer
2k views

How do different methods and techniques used in pairs trading compare?

I was going through the paper of Avellaneda (2008) on stat arb and I found it interesting that he uses asset returns vs. their respective ETFs to compute the s-score. I am wondering if anyone has ...
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1answer
127 views

Trading over a Ornstein/AR process

For a OU/AR(1) process is there anyway to analytically calculated most probable period of time the process is likely to diverge from the average, before turning to converge. Basically I am looking ...
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2answers
209 views

Backtesting with Simulated Historical Data?

The trading strategies that are going to backtest well are the ones that pick the winners from the past. For example, if a trading strategy simply bought apple stock it would backtest extremely well. ...
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0answers
100 views

Models for volatility estimation of high frequency data?

I have read on several news articles and research papers, "Contrary to popular belief, high frequency trading reduces volatility in stock markets rather than exacerbates it". Do you know the models ...
3
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1answer
210 views

How to find optimal look back in quant trading models

I'm in the process of building a quantitative trading model, I want to improve on the way in which I decide upon a look back length for the indicators. I understand the different pros/cons for very ...
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1answer
170 views

Given future price probability distribution, what is a strategy that maximizes return?

Say I know the price probability distribution, e.g., lognormal(p,s), of a stock X at a future time ...
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2answers
215 views

The Definition(s) of Momentum

I am currently studying the Momentum strategy and its differences in results (returns) when we change the formula describing momentum. There are indeed no accurate formulas for implementing the ...
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0answers
67 views

robust regions in grid search

I have a strategy f that takes parameters x,y (for x,y taking values in integer ranges). I get two grids (of returns and volatility values) from computing f(xi,yi) for integer ranges x1 <= xi <= ...
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1answer
903 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 ...
5
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2answers
231 views

Non-negative matrix factorization for factor analysis of stocks

I stumbled over the term Non-negative matrix factorization in presentations such as Application of Machine Learning to Finance and this Big Data in Asset Management. The basic idea is to decompose a ...
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2answers
180 views

How to combine trading signals to achieve higher capital efficiency?

I trade use a completely automated approach where all signals are generated by proprietary trading strategies. However, recently I encountered an challenging problem: Imagine we have 3 Strategies ...
5
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1answer
349 views

Regime-Switching Model for detecting market shifts

I'm always wondering whether anyone has utilized regime-switching models successfully in forecasting or trading. Academia has long discussed this topic in-depth, such as using Regime Switching ...
5
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1answer
340 views

Optimal trading strategy in toy world of simple Hidden Markov model with Gaussians

I want to solve the following optimization problem: What is the optimal general trading strategy (in the sense of the highest Sharpe ratio) on a time series which is the result of a Hidden Markov ...
2
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1answer
259 views

What features does q /KDB provide for HFT use?

It appears q/KDB is being using for Time series analysis for HFT. What are some of the advantages of using ...
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0answers
128 views

trading strategy outperforms passive strategy in absolute terms, but in returns vice versa. how could this be?

Background: I want to compare two trading strategies in term of profitability. The red one is an active trading strategy, which involves many entry and exit to a specific market. The blue one is a ...
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1answer
171 views

Stochastic Calculus in Quantitative analysis

I am an aspiring quant that would like to get a head start learning stochastic calculus, which books FROM EXPERIENCE are the most reader friendly?
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0answers
36 views

Significance of Data

The following is a result I get from a pair trading model. I am trying to figure out the significance of the below but failing. Can someone help me out i.e. a resource or possibly an explanation on ...
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0answers
60 views

Explain $1Gamma vs %1 Gamma

What is $1 Gamma and what is 1% Gamma? please describe the difference? I understand Gamma but cant make the diff between the two.
18
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3answers
5k views

What types of neural networks are most appropriate for trading?

What types of neural networks are most appropriate for forecasting returns? Can neural networks be the basis for a high-frequency trading strategy? Types of neural networks include: Support Vector ...
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2answers
402 views

How to incorporate fundamental analysis in quantitative trading algorithm? [closed]

I want to write a quantitative stock trading program based on fundamental analysis. It would crunch through prices, financial reports to look for value stocks. It can support backtesting of strategy ...
3
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1answer
207 views

Optimal Executions for Minimizing Slippage

There has been a considerable body of work for finding trading strategies that minimize the slippage wrt arrival price. For instance, the following are on of the most well known papers: [1] Robert ...
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0answers
31 views

measuring the performance of round-trips on stocks

can you provide me with some ideas to assess the profitability of round-trips? That is when I buy 100 shares of IBM at 10\$ and I resell them two days later at 11\$, how can I measure the profit made? ...
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1answer
472 views

Asset-or-nothing Option Valuation in the Black and Scholes model

In standard Black-Scholes Model, compute the price of an asset-or-nothing put and asset-or-nothing call options. Write down the put-call parity relation between the asset-or-nothing call and put ...
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0answers
109 views

Calculating index arbitrage

I have a days-worth of level 2 market data. I am calculating S&P500 index arbitrage. I have a few questions about the calculation: 1) Should I be summing all the bids and asks from the stocks ...
5
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4answers
852 views

Usage of Random forests in Quantitative analysis of stocks

I have a question about Random forests and how they could be utilized in trading? I heard Random forests are used for classification, is that accurate? If so, could someone give an example of what ...
1
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3answers
732 views

How to trade volatility?

I am analyzing the volatility of financial stock returns and let's say I have a pretty good model to forecast tomorrows volatility of the stock returns. So let's say for simplicity reasons I have a ...
7
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3answers
1k views

Optimality of Kelly criterion in non-normal environment

It is a not so well known fact that the Kelly criterion is only optimal in a nice and well-behaved Merton-world. It is far from optimal when things are getting non-(log)normal (i.e. more realistic!). ...
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2answers
870 views

Calculating true value of a stock given the order-book and recent trades

I'm trying to calculate the 'true value' of a stock listed on an exchange. I have access to the limit order-book (containing all bid/ask quotes) and also all trades which have taken place (which ...
3
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3answers
1k views

How much capital do I need to create a competitive automated trading strategy?

I'm a relatively small investor, and I'm interested in building my own fully-automated quantitative trading strategy. I also read about dark pools, and how difficult it is to get good prices on ...
0
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1answer
177 views

Quantitative finance mentality for success [closed]

I have a strong statistical background (particularly in Time Series analysis) and previously have spent a lot of time modelling sports, Baseball in particular. After reading "Analysis of Financial ...