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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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 ...
1
vote
1answer
322 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 ...
1
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0answers
212 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 ...
4
votes
1answer
386 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 ...
1
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1answer
286 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 ...
9
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2answers
656 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 ...
1
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0answers
69 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 <= ...
6
votes
2answers
574 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 ...
2
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2answers
688 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 ...
6
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1answer
2k 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 ...
6
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1answer
545 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
545 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 ...
1
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0answers
232 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 ...
1
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1answer
536 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
47 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 ...
3
votes
2answers
1k 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 ...
4
votes
1answer
468 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 ...
0
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0answers
34 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? ...
0
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1answer
1k 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 ...
2
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0answers
175 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 ...
7
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3answers
2k 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!). ...
1
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2answers
1k 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
votes
3answers
2k 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
votes
1answer
207 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 ...
2
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2answers
769 views

Index arbitrage with Options when not all underlyings have options listed?

One arbitrage strategy involves looking at the price of the Index Futures price compared with the prices of the options contracts for the underlyings. My question is, can this arbitrage strategy ...
3
votes
1answer
5k views

Seagull option strategy - clear example

It looks like the subject of seagull option strategy is not as clearly explained as for other strategies (butterly, bull,bear spread). Thus, can someone provide a clear example of what you buy and ...
22
votes
6answers
3k views

Most successful investors using academic-based framework?

What are the most famous/best performing absolute-return funds employing approaches based on mainstream finance theory (i.e., theory presented in Journal of Finance, AER, Econometrica, using typically ...
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0answers
292 views

Fluid dynamics for order book depth modelling

Would someone be able to give me an idea what type of fluid dynamics I could look at for modelling the order book? My background is more signals-related maths (correlation, covariance, fourier etc). ...
4
votes
0answers
543 views

How to determine ratios for mean-reverting basket

Suppose I have a basket of 3 securities A, B, and C. I believe that the basket is cointegrated and I want to create a mean-reverting trade. I fit the model: ...
6
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5answers
755 views

Indicators and research for stress-based investment strategies

In reference to this paper: Can risk aversion indicators anticipate ļ¬nancial crises? and the investable UBS Risk Adjusted Dynamic Alpha Strategy: ...
3
votes
2answers
1k views

backtesting options strategies in R

I would like to backtest an options strategy in R. I require the ability to delta hedge and rebalance to options in the portfolio at different frequencies (daily, monthly,etc.) What packages are the ...
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votes
1answer
428 views

How to test the efficiency of Exponential Moving Averages as a trading startegy? [closed]

I would like to know how I can test the efficiency of Exponential Moving Averages when it comes to forex trading. Can i have any papers that point to the efficiency of this strategy? Thank you. :)
4
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0answers
305 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 ...
15
votes
2answers
1k views

From a high frequency point of view, with a price prediction and assuming infinite leverage, how do you determine optimal trade size?

I have read about something like Kelly criterion for long term expectation maximization assuming a fixed starting bankroll. But if one can assume unlimited leverage, and one has a signal for a price ...
4
votes
3answers
3k 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 ...
10
votes
3answers
901 views

What is the expected return I should use for the momentum strategy in MV optimization framework?

As all research on the momentum strategies are focused on the indicator, i.e. the entry point, there seems not much discussion on its expected return? Though there are some discussions on the exit ...
3
votes
3answers
663 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 ...
0
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1answer
638 views

Selecting timeframe for time series analysis

In technical analysis, we may use confluence of direction for 3 timeframes to roughly gauge bias of market now. Similarly, if we use time series forecasting methods to predict(say daily data-whether ...
15
votes
7answers
11k views

Switching from Matlab to Python for Quant Trading and Research

Has anybody else out there made this switch? I'm considering it right now. What were the negatives and positives of the switch?
-3
votes
1answer
619 views

Target daily ROI for a market-making algorithm

I'm designing a market-making algorithm, I was wondering what a decent ROI / day would be to aim for in such a system?
4
votes
2answers
908 views

Cointegration trading: Ignoring pairs that aren't economically related

Cointegration trading question What's the state of the art when it comes to choosing proper subsets of stocks/assets where cointegrating relationships aren't ignored as (likely to be) spurious? For ...
3
votes
1answer
1k views

Understanding Passive Rebate Arbitrage

I was reading a BMO paper which offered the following example of passive rebate arbitrage: "For example, if BBD.b is trading at $4.71 - ...
10
votes
1answer
947 views

What is the Sugihara Trading System?

I recently heard the term Sugihara Trading System. I guess it might be some trading strategy or a special model to predict trends in market data, but I couldn't find out anything about it. Does anyone ...
7
votes
3answers
678 views

Why is random trading minus transaction costs not zero expected value?

Somebody was telling me that if you buy randomly and assuming no transaction costs in todays market place, you wont make money 50% of the time and lose 50% of the time because of adverse selection. Im ...
2
votes
1answer
963 views

Using alpha to evaluate trading strategy

I have a trading strategy that generates returns $R_{t}$. I want to test the strategy by looking at the alpha: $R_t - R_{f,t} = \alpha + \beta (R_{m,t} - R_{f,t}) + e_t$ I compare my alpha against ...
5
votes
1answer
1k views

Statistical significance of trading systems that use indicators with long lookbacks

Let's say we have a trading system that trades daily, holding for one day, but uses an indicator that looks back over the last 5 years. A simple example could be the percent change in price of an ...
1
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2answers
580 views

Evaluating forecasting algorithm

I am trying to evaluate a forecasting algorithm for stock price prediction. However, the performance of the algorithm may be very much tied to the trading strategy. Is there a systematic way for ...
2
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0answers
81 views

How to trade risk-adjusted returns?

Why does dividing daily returns by daily range eliminates fat tails and results in an (almost) gaussian distribution? And how could that distribution be exploited to enter trades?
1
vote
1answer
369 views

normalized accumulation distribution

I am looking for a way to take an accumulation/distribution indicator and normalize it so I can compare a bunch of stocks with stock prices that have no relationship with each other. EDIT: This ...
5
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4answers
2k views

How should I include the bid-ask spread as a transaction cost in a backtest?

I have two backtesting algorithms: One that uses bid and ask prices for signal generation. For example: Buy when $ask < threshold_1 $ and sell when $bid > threshold_2$. Bid and ask prices are ...