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
194 views

Option order imbalance

Currently studying the paper: HU, Jianfeng. Does Option Trading Convey Stock Price Information?. (2014). Journal of Financial Economics. 111, (3), 625-645. Research Collection Lee Kong Chian School ...
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80 views

Benefits of systematically trading OTC options instead of exchange-traded options

Is there a case to trade liquid OTC options (FX, single-name equity, swaptions, etc.) instead of exchange-traded index options in a systematic strategy?
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954 views

What are trade markouts?

I have experience in trading but mostly in lower frequency quantitative trading. I've moved into HFT research and someone the other day mentioned markouts. I couldn't find anything online explaining ...
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99 views

Machine Learning Algorithm to find backtesting parameters? [closed]

I have used ML to create indicators for performing trades in financial data. Currently I use custom logic (plenty of if conditions) for backtesting. However there must be a better approach. ...
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1answer
129 views

Klein and Chow Orthogonal Transformation - Lowdin Orthogonalization

I've doing research on the orthogonal transformation in Orthogonalized Equity Risk Premia and Systematic Risk Decomposition They borrow a mathematical technique called symmetric orthogonalization ...
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1answer
381 views

How could one trade volatility skew if you think it's too flat or steep?

We all know that you can trade on a forecast of volatility by dynamically hedging, but I'm wondering if there's a similar technique where in you can trade the skew specifically? Let's say you travel ...
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223 views

What is the strategy for this piece of information

Heavy Math background, very light finance background: Suppose I have a stock $S$ whose price is measured by the market once on times $t_0$ $t_1$ $t_2$. Now the market has some opinion for how the ...
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1answer
86 views

Assessing goodness of a Technical Trading Rule using a ROC model

I am testing various technical trading rules (TTR) on the cryptocurrency market. I have already setup some significance tests, to compare the returns and volatilities. I would now like to test it ...
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140 views

Exotic derivatives - Replication

I would like to replicate the payoff Max(0, Min(S1, K) - S2) with a combination of the following derivatives: -> option on S1, strike of our choice -> option on (S1-S2), strike of our choice -> A ...
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162 views

Fundamental factor analysis using portfolio construction

I am a new aspiring quant who is trying to build a fundamental factor algorithm to rank stocks for a basic long/short strategy, so sorry for the likely very basic question. Nevertheless... Why do you ...
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218 views

Is there a relationship between Risk Neutral Pricing framework and Nash Equilibria?

Based on the Fundamental Theorem of Asset Pricing, the risk neutral price of a contingent claim on an asset in a liquid, arbitrage free market can be determined by switching to an equivalent $Q-$ ...
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72 views

Why the spread is calculated on raw prices instead on the price changes?

I'm reading Quantitative Trading With R written by Harry Georgakopoulos. In chapter 6 he exposes a basic quantitative strategy based on setting up a stock spread and buy when it is below a lower ...
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2answers
370 views

Can someone please share examples of machine learning in quantitative finance? [closed]

There has been a lot said about the application of AI, ML and Neural Networks in trading for predictive modelling. I was unable to find any relevant examples that prove a credible output based on ...
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61 views

Constrained Optimization for performance attribution

I am trying to perform constrained opmitization for portfolio performance attribution analysis. Specifically, I am trying to determine the impact of sectors performance on the S&P 500 index. Min ...
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2answers
174 views

Seeking papers that deal with stock market analysis

I am sure there are a lot of papers that are related to stock market analysis.. but I haven't been able to find ones that fit my needs most. I want to read papers, replicate their analysis, and use ...
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56 views

Correlation between a sector and MSCI ACWI returns

I have daily return data of 11 sectors of MSCI World Index and the MSCI ACWI index. I want to know the stationarity of correlations between the sectors and MSCI ACWI index. This is what I have done: ...
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138 views

Quantitative Finance education/skills [closed]

What is currently most desired in candidates by employers in quantitative finance/algorithmic trading? Strong quantitative academic background, for example, MSc/PhD in Physics, Engineering, ...
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148 views

Calculating Flat Price Risk for Physical Commodity Trades

I've been reading Craig Pirrongs Economics of Trading Firms published by Trafigura: https://www.trafigura.com/media/1364/economics-commodity-trading-firms.pdf Very informative read. The point I have ...
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48 views

How to make use of sector index returns data to analyze the overall stock market index

I have a set of indices returns data, namely, ...
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1answer
351 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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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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176 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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71 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
249 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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54 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
79 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
188 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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3k 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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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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38 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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73 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
311 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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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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274 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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865 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
1k 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
536 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
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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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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394 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
159 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
78 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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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
331 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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55 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
146 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
228 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
115 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
755 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 ...