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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53 views

Markowitz portfolio in reality

I am in academia and begin to work on topics including portfolio optimization. I just read lots of paper discussing different extensions to the Markowitz approach, given different (possibly ...
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How to understand microprice (aka, weighted-midprice)?

The definition of micropice is S=PaVb/(Va+Vb)+PbVa/(Va+Vb), where Pa is the ask limit-order price and Va is its volume, and similar for the bid Pb and Vb. The typical explanation for micropice is ...
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Looking to build a Quants Investing Team [closed]

I am looking to build a great quants team to start build a true Quants trading system for a new Fund. I want to build a great team and I know its not going to be easy to build fully automated trading ...
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224 views

The “Universal Model” by Justin Sirignano and Rama Cont

In the nicely written article https://arxiv.org/abs/1803.06917 by Justin Sirignano and Rama Cont, they explained that their model is universal and stationary. I am a bit confused about some questions. ...
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Can a publicly known gap trading strategy be profitable and if so why?

Newbie to this field, please forgive any lacking knowledge... There is various literature (example) on trading according to strategies which assume that (in the absence of a large gap, or major news) ...
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56 views

Trading after the close

Are there institutions that will fill stock trades after the close (from stock on there order book) at the official close price? If so would it be significant more expensive to execute a trade this ...
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1answer
72 views

Correlation between the perfect market-timing strategy and the market itself?

What would be the correlation between a perfect market-timing strategy [that it always goes long (short) one unit of the market the day before the market goes up (down)] and the market itself, given ...
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Correlation of a portfolio of trading strategies to a benchmark [closed]

I have two trading strategies, both having a correlation of 0.5 to an indicator 'i'. If I take a portfolio of these two strategies, what will be the correlation of this portfolio with the indicator 'i'...
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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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35 views

Johansen cointegration Test for spread generation

I'm using the python statsmodels version of the johansen cointegration test and I'm looking for some advice on how best to generate the spread used within a pairs trading algorithm. For example I've ...
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3answers
409 views

Historical tick data level 1 and level 2

I am a software engineer and want to run some simulation of over historical market data . I am pretty new to finance and trading world. To automate some of my strategies I would like to run some back ...
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evaluating garch models

I used ugarchroll to backtest my garch model on S&P returns this is my code ...
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Calculating % Return in Pairs Trading Strategy

Hi guys Could you help me here? I would like to calculate the return of a Pairs Trading strategy. For example: 18/11 - Open the Trade: I will go long on A and Short on B: Stock A : $ 32.24 Stock B ...
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130 views

Live trading strategies developed on daily data

This is a very simple perhaps naive question. Let's say I have a stock price prediction model trained on daily closing prices of that stock. So when I use this model for live trading, I'll have ...
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1answer
63 views

Alpha generation and factor models

I have studied factor models in a very introductory manner, going through there Fama-French model and then APT. I understand the concept of decomposing returns into factors, but I don't understand how ...
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1answer
182 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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INTERPRETING PCA ANALYSIS

I am having little trouble figuring our which variables are the most important when I am using PCA . What I am trying to do is see which variables explain the most variance when it comes to stock ...
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Are there any known text analysis NLP bots that read 8k filings, news, twits, articles - “understand” them and trade based on their derived meaning?

I want to build an NLP bot that "reads" and understands meaning and sentiment of articles, twits and trades on them. E.g. understand general sentiment of comments under important financial blog posts ...
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132 views

PCA FOR STOCK PICKING

lets say I am an equity analyst and I want to figure out what fundamental metrics I should use when I am analyzing an industry , I can use pca on a bunch of stocks in an industry using their ...
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How effective is simplex projection for portfolio sizing? How is Euclidean projection different?

I am looking at a backtesting framework where the authors do a simplex projection to get final long-only weights. They also have a version with Euclidean projection to simplex. I wanted to understand ...
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Vexing issues to be aware of fitting volatility smile

I wanted to know what one should be aware of trying to fit volatility smile. Besides the arbitrage issues. What are some of the real life vexing issues associated with this process. What is a non-...
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Is there a good book/blog on applying statistical methods in finance? [closed]

I am learning a lot of tools in statistics, but I am having a hard time figuring out where I could apply these methods in finance, especially in relation to investment and trading. Is there a good ...
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1answer
93 views

Pairs Trading situation Spread changes

I'm setting up and following a pair trading operation by the method of summing the distances squared (SSD). After determining the best pairs, I have to track the spread between the normalized prices. ...
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1answer
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Choosing best expressions from all possible combinations on variables, unary operators and binary operators along with hyper parameters

I have a few financial variables of a stock universe like OHLC prices, volume, and other fundamentals with varying time-frequency. Using this set I'm creating an expression that gives the weights to ...
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pca for yield curve

I used Principe component analysis on yield curve data this was the result ...
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2answers
126 views

What are the best [free]resources to learn C++ particularly for quantitative finance?

What are the best free, online resources to learn C++ for quant finance? The course by quantnet seems too expensive for a broke student like me! If there are any free online resources, let me know! ...
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1answer
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Exposure/Factor Analysis on a loan portfolio?

I am working on performing factor analysis on a loan portfolio. This is my understanding so far, and I was hoping that some of the smart folks here might be able to chime and guide me through this ...
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1answer
81 views

Bootstrap Method for Assessing Pairs Trading Performance

After reading this paper I tried to replicate it. I almost done, but I am stuck on the section 3.6 where the author constructs a random pair (how he constructs this?) for Assessing Pairs Trading ...
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Option arbitrage on two correlated or cointegrated underlying assets

If two indices are highly cointegrated, does it allow for some set of statistical arbitrage strategies for european options for which those indices are single underlyings ? Does answer change if ...
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1answer
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In a cleared inflation swap agreement, what determines how much “collateral” a party needs to deposit into the third party escrow account?

Does realized inflation or expected future inflation determine how much money needs to be placed into the escrow account each day?
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When to remove a trading strategy?

Every strategy has a limited lifespan. How do you decide when to stop a particular strategy as it has lost its edge? Few of things that can be thought is strategy crossing its maximum drawdown, net ...
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70 views

Kingdom of Denmark Nikkei put warrants

I have read in a book from Emanuel Derman that Goldman Sachs manufactured a derivative in the early 90's that consisted of buying cheap puts on th Nikkei index (and paid in Yen), combined them which a ...
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1answer
107 views

How would this 10s/20s steepener work

Say I'm interested in a trade that wants to execute a 10s/20s steepener This is done via a receiver leg on the 10s and a payer leg on 20s Look at the following example (the figures are all ...
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2answers
780 views

What are some beginner quantitative option trading strategies?

I'm new to quantitative trading, with good knowledge in finance and coding (mainly Python, Java, R, etc). I would like to know if there are any basic quantitative option trading strategies that can ...
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1answer
195 views

What on earth is an Alpha Model in the quantative investment process?

I am confused with the useage of the concept "Alpha Model" in quantative investment. According to Qian, Hua & Sorensen (2007), the first thing in the toolbox of quantative investment process is "...
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587 views

What is the appropriate benchmark for a Long/Short VIX futures strategy?

Trying to figure out the benchmark for a L/S Vix futures stragegy, doesn't seem like only long or short Vix futures would be appropriate, any ideas? Thx
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2answers
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How does duplicate data affect backtesting?

Before developing a trading strategy, one should clean and preprocess his data set. It is very common that a data set contains huge number of duplicates. Question: How does duplicate data affect ...
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1answer
203 views

ARMA+GARCH day-trading strategy

I have a question regarding this particular post on quantstart: https://www.quantstart.com/articles/ARIMA-GARCH-Trading-Strategy-on-the-SP500-Stock-Market-Index-Using-R In it, he designs a day-...
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53 views

What are your favourite benchmarks for signal (pre-trading strategy) backtesting?

In some situations, e.g testing the value of individual signals to be built into an ensemble method, it can be a bit too early to implement trading logic for the strategy needed to do a standard ...
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3answers
438 views

Position sizing in algorithmic trading

Good morning, I have a question, regarding position size in algorithmic trading. I have a strategy that every day generates signals for buying or selling positions on different stocks. I'm looking ...
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2answers
164 views

Why do we need event-driven backtesters?

I am reading this article at quantstart regarding event-driven backtesters. It seems to me that the main advantage of using an event-driven backtesters is that it avoids look-ahead bias. Usually I ...
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79 views

Stock prices and PCA

I'm trying to construct a portfolio using PCA based on a number of stocks. I was wondering what the best way to standardise the stock prices are. Which method would be more appropriate? Standard ...
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2answers
1k views

Does QuantConnect use both bid and ask data for backtesting?

Or Quantopian? How about Python libraries like ultrafinance and PyAlgoTrader?
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1k 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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1answer
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generalisation of cointegrated stock pair strategies to multiple cointegration

Question: as it is well known, there are strategies to trade pairs of stocks which are known to be co-integrated. See for instance here: https://medium.com/auquan/pairs-trading-data-science-...
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1answer
305 views

What are quant trading competitions besides IQC?

I am interested to participate quantitative trading competitions. I am residing in Singapore. The only quant trading competitions that I know are International Quant Championship (IQC) and SMU ...
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2k views

What are the textbooks used to teach Quantitative Trading at universities?

For example, Stanford has a class (STATS242 - Algorithmic Trading and Quantitative Strategies) on quantitative trading. But i am not able to determine what are the textbook(s) used in this course. The ...
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In-sample and out-sample backtest performance, how to do this?

I have a strategy in development that I am backtesting to optimize for parameters, a total of N combinations. Trying my best not to overfit. I run the first backtest for the in-sample period and I ...
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2answers
221 views

Reference on Futures basis trading strategy

I have heard that it is possible to trade on the futures basis. In my understanding, the futures basis is essentially the difference between the futures price and the underlying asset (also referred ...
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2answers
201 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 ...