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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66 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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2answers
172 views

Lagged Residual as Independent Variable

I am building a factor model to estimate future equity returns. I'd like to include an autoregressive residual term in this model. I'd like to have yesterday's error (the difference between yesterday'...
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63 views

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
234 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
93 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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0answers
46 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
75 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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2answers
182 views

Understanding Forex Positions

I am new to forex trading and using an Oanda free practice account to play with it. However, I'm not understanding a few things. When I buy or sell a currency pair, am I buying/selling a currency or ...
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1answer
2k views

How to calculate Sharpe Ratio from $ returns?

I have a pairs strategy that I am trying to calculate the sharpe ratio for. Currently I am using python for my analysis and calculation. I have a dataframe that contains the cumulative returns in $'s ...
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0answers
39 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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0answers
37 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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70 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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2answers
266 views

Physical commodity trading quantitative risk return model

I am very new to commodities, I was previously in portfolio management/optimization (Black Litterman Markowitz etc). I am now a Buy-Sell analyst for Petrochemicals, and need to understand the basic ...
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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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1answer
245 views

Papers and books related to “Forex” market microstructure

There are lots of papers and books on this topics but haven't seen much specific to forex markets nowadays. Any recommendation on recent papers or books?
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1answer
723 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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2answers
962 views

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
456 views

Interactive Brokers - Tracking High Relative Trading Volume

I'm new to Interactive Brokers (and day trading), I am trying to setup my different charts etc. How can I have alerts/monitor for any stock that is trading at above average volume - compared to X? ...
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1answer
100 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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0answers
26 views

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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0answers
352 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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0answers
150 views

How to mathematically compute the volatility range of each stock?

I joined a stock market group and in this stock group, there is a proprietary "daily trading range (or DTR)" that the founder uses. However in order to do this for all the hundreds of stocks in the ...
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1answer
74 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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0answers
55 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
309 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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53 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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1answer
138 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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2answers
212 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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1answer
108 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
705 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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0answers
86 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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0answers
100 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
816 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
1k 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
221 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
119 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 ...
2
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0answers
464 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 ...
2
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1answer
286 views

Doing opposite of what the model says

Is it considered a viable trading strategy to do the opposite of a consistently losing model? That is, whenever the model says short, you go long, and vice versa. Disclaimer: I would never do this. ...
2
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1answer
284 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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4answers
885 views

Explanation of Standard Method Generalized Hurst Exponent

Apologies if this question is vague, I've gone over how to word it several times in my head, and I'm not sure it gets clearer each time. I've been looking at this website article https://www....
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4answers
298 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
199 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 ...
3
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0answers
582 views

Rationale behind volatility dispersion (or correlation) trading

When looking at the explanation of CBOE S&P 500 Implied Correlation Indices available here, it is written that such indices: [...] "may be used to provide trading signals for a strategy known as ...
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2answers
114 views

How to test a strategy with a small capital? [closed]

I have developed an algorithm / model that predicts the next day direction of CBOT wheat futures. It performs sufficiently well in backtesting that I'm interested to see how it would perform with real ...
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1answer
85 views

Literature on credit risk premia

I am looking for a comprehensive ressource describing known strategies of credit risk premia. Is there such kind of articles/books/websites?
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1answer
161 views

How well would Technical Indicators have done before creation?

Backtesting technical indicators (that determine market psychology) - how well would they have done? For example RSI was published in 1978. Before its creation - did it performed better or worse?
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1answer
361 views

Algorithmic Trading [closed]

I am a novice when it comes to algorithmic trading with strong interest in the subject matter. As I am looking around for online courses, I can only find one course called Algorithmic Trading ...
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2answers
175 views

Questions on continuously compounded return vs long term expected return

I have reading a paper from Oliver Grandville on long term expected return. I am trying to reconcile what I am reading in that paper vs what I see under "Application to Stock Market" in Kelly ...
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3answers
898 views

Looking for free historical EOD prices of stocks from S&P 500

I'm trying to build a database of historical stock EOD price data with no survivorship bias, primarily from the S&P 500. I have looked through numerous data sources from this website to create a ...
2
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0answers
60 views

Reduced rank / matrix factorisation techniques and their uses in portfolio optimisation?

I am interested in reduced rank / matrix factorisation techniques and their uses across finance and portfolio optimisation. For example, PCA might be used to reduce the number of components you are ...