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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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1answer
360 views

Implementing the Sharpe's return-based style analysis on Python

I am trying to implement the Sharpe's return-based style analysis on Python. The problem is formulated as follows: ...
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1answer
68 views

How can I reproduce the experimental verification of the “False Strategy” theorem plot?

I recently came across the following blog post talking about the importance of back-testing overfitting, and a plot claiming to be an experimental verification of the False Strategy theorem. The ...
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Probability of outlier events for laplace distribution

I've read that the laplace distribution is better for forecasting purposes than the normal distribution due to it better accounting for fat tails. However, when I run the numbers in matlab, laplace ...
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1answer
255 views

approach on trading algorithm using machine learning [closed]

let's say I am supervising a algorithmic trading project using machine learning. I don't have involvement in the technical side but am involved in the high level planning. the style is likely ...
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1answer
94 views

What steps are for a specific Day Trading Pattern

I am new to day trading, and I am looking to get a better understanding of what key attributes can be identified when trying to identify patterns when day trading. Specifically, I am looking to find ...
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55 views

Dealing with missing factors

I have to deal with a factor investing strategy, with the particularity that I can't get a value for the factor for each date for each stock. Practically speaking, this is due to the fact that this ...
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1answer
80 views

Adding a new strategy to an existing portfolio

I wanted some help in looking for suitable articles/literature. Suppose an investor has a bunch (bouquet?) of quantitative strategies already generating trading signals for him. If he comes up with a ...
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230 views

Quantitative features of asset price bubbles beginning

Surprisingly, I've found very little research on this topic. Research papers I've come across propose some simple models to say that asset prices might be in a bubble. Most of the models take these ...
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41 views

How are Risk indices linked to Physical Trading returns?

Ref to my previous question here: Physical trading spot transaction analysis-Quantified I have been able to narrow down my aim to defining a physical trading strategy P&L. My question is, how ...
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39 views

Trading rules: Controlling the portfolio FDR+ level

I'm trying to apply the FDR+ (False Discovery Rate +) methodology from Bajgrowicz (2011) link another_link. I have computed the p-values with the stationary bootstrap as they did, however I am not ...
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0answers
74 views

Physical trading spot transaction analysis-Quantified

ref to my previous question here: Physical commodity trading quantitative risk return model I am currently new to commodities and physical trading. I have currently narrowed down my area of analysis ...
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0answers
79 views

Which stats are the best predictors of model sucess in real time? [closed]

What are the best predictors of real time model success in quantitative trading, i.e. # of transactions, length of backtest, StdDev, Skewness, Excess Kurtosis etc and what are the numerical values of ...
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Interpertation of delta hedge error in Black Scholes

I have spent some time to prove the delta hedge error as described in this paper paper page 16-17 by Davis. The proof is discussed here Deriving Delta Hedge error in the B-S setup (part 2) (a post by ...
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1answer
901 views

Understanding Cover's Universal Portfolio Algorithm

I am trying to implement the Universal Portfolio algorithm strategy inspired by the paper by Professor Cover from Stanford. At the moment I am trying to understand the underlying logic of the ...
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5answers
8k views

Any research on how natural language processing can be used to forecast stocks?

Is there any published research of decent quality linking news or unstructured information to asset returns? I know that Thomson Reuters offers its Machine Readable news (MRN), so somebody must use it....
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1answer
148 views

Momentum Analysis on Indices

I'm interested in analysis of day-on-day momentum of certain large indices. In particular, I'm interested in the predictive power of the sign of the price change of the first hour of trading with ...
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1answer
104 views

How do I officially track the performance of my quant strategy? Do I need to be GIPS compliant for my performance to be legitimate?

I have a quant strategy that I want to implement in order to establish an official track record, but I'm not sure what I have to do. I have about $100k to set this thing up and would appreciate ...
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2answers
661 views

pairs trading, normalization

I am interested in implementing a simple pairs trading strategy using two correlated futures contracts. I am unsure what the best way to normalize the prices of the two instruments is. Essentially ...
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Dynamic counterpart for model tunneling/optimization using past data

When we tune a model to optimize parameters for a strategy using past data, even if controlling for overfitting (checking out of sample performance) and refreshing the analysis from time to time, we ...
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402 views

Approximating Market Making PnL with a Trend Following Strategy

In an interview about the setting up AHL Michael Adams made the following quote (the quote relates to their pre AHL days when they acted as consultants): I think because we we re doing work for ...
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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
79 views

How to properly classify rate of change?

I am working in a Machine Learning Model for Bitcoin Price. I am attempting to predict how much the price changes in the next day. I am approaching this as a classification problem instead of ...
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1answer
335 views

Scaling (Data prep) & Feature selection for the financial Data for LSTM Models

Overview I'm training an index e.g. FTSE100, where I have 8 years of past data (daily). I also have a list of its constituents. For each stock, I have the following features: ...
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1answer
389 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
59 views

Equivalent of Force Indicator Within Ta-lib

Is there any equivalent of the Force indicator (http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:force_index) within the talib library? (...
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1answer
117 views

Calendar spread pricing: how find the final value of call long

Consider a calendar spread: short a call expiring at $T_1$ and long a call expiring at $T_2$ ($T_2>T_1$). I didn't understand how estimate the price of the long call option at $T_1$. With a payoff ...
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1answer
776 views

CAPM and factor modeling: Machine learning

Excuse my ignorance with this I am still trying to wrap my head around the interpretation of the Fama French 1992 factor paper. I come from a computer science background but I am interested in ...
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57 views

Name of an indicator based on price change and volume

If a(t) is the price of an asset and v(t) is the transaction volume of that asset against say USD, one can look at the integral over a time period of v(t) a'(t). In words, this is the cumulative ...
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798 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: $\log(A)=\beta_b*\log(B)+\beta_c*\log(C)+\...
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4answers
13k 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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94 views

Backtesting: what happens to real-executed order if mine fills instead?

I'm writing a backtester and using an order-by-order Nasdaq ITCH feed whilst testing it. Let's say the bid-ask spread is 100 @ 9-11 @ 100 My strategy inserts an bid order for 100 @ 10 and this ...
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2answers
202 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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1answer
472 views

How to use exponential smoothing for trading?

I was wondering if there's a rule of thumb regarding the value of alpha used when performing exponential smoothing. I plan to use this technique to preprocess my data before feeding them into my ...
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1answer
615 views

pair trading cointegration - calculating shares quantities traded, portfolio value and returns

I have a trading strategy based on the cointegration of X and Y where beta derived from the regression is 0.7. My initial capital to invest is 1000. My understanding that the quantities of X and Y to ...
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106 views

Investment Bank VWAP Execution ranking

Is there a ranking of Investment Banks institutional VWAP execution algorithms anywhere (who beats the benchmark price most consistently and by how much)? Thanks
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2answers
6k 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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2answers
834 views

Didier Sornette's Strategy to Exploit Return Correlations

In his book, "Why Stock Markets Crash", Didier Sornette discusses a trading strategy that exploits return correlations. Consider a return $r$ that occurred at time $t$ and a return $r'$ that ...
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1answer
2k views

statistical arbitrage vs factor trading

I've recently read Avellaneda & Lee which seems to be widely recommended as an introduction to Statistical Arbitrage methods in trading. For those who aren't familiar with the paper, the method in ...
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2answers
270 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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3answers
905 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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3answers
1k 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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545 views

Questions on Kelly criterion

I am new to asset allocation problems and have some concerns regarding the derivation of the continuous-time Kelly criterion (i.e. not the original version destined to discrete sports betting/Casino). ...
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2answers
242 views

Positive PnL with long volatility strategy

Suppose I was interested in longing volatility. Suppose I bought a long straddle today which expires in 3 months. Suppose that volatility was very high in those 3 months, however, the stock expires at ...
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0answers
126 views

Need some suggestion about short vxx long vx future strategy

I read a post by M. Avellaneda trading volatility At page 59-62 there's Strategies with VIX futures to hedge short VXX I'd like to reproduce the result. I am not sure how to do it. Some key points ...
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0answers
493 views

stochastic modeling and machine learning [closed]

For a little bit of background, I've been studying stochastic calc and a few of it's applications (currently I'm still at the early stages of learning applications) and have been curious as to whether ...
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1answer
297 views

Why do trading strategies lose effectiveness over time?

I don't do any financial trading, and this question came up to me as I was browsing through some questions on this SE. A general sentiment I felt after reading though several questions on this SE, is ...
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5answers
7k views

Appropriate method for calculating negative returns on a trading strategy?

I have a cumulative profit/loss time series below for a trading strategy, what is the appropriate way to calculate the returns in percentage for such a series? My issue is the appropriate ...
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4answers
312 views

Why do anomalies disappear after they get detected?

In financial markets, anomalies refer to situations when a security or group of securities performs contrary to the notion of efficient markets, where security prices are said to reflect all available ...
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2answers
202 views

Applying my Machine Learning class (possibly to small markets) [closed]

I've finished a university course in statistical machine learning that covered topics such as regression, classification, neural networks, SVM, PCA etc. The class was quite tough and rigorous (we had ...