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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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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1 answer
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Time series strategy versus cross section strategy?

Suppose we have a universe of $n$ stocks, and for each time period $t$ we have $n$ predictions for their future returns. Now we can calculate the information coefficient for our predictions in two ...
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5 votes
1 answer
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Meaning of cross sectional rank

This paper mentions the concept of rank which is defined as cross sectional rank. For e.g. one of the alphas (#3) is (-1 * correlation(rank(open), rank(volume), 10)) 10 is just the number of days ...
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4 votes
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134 views

Machine learning - assigning a value to each tradable moment

I've been looking at machine learning trading strategies for some time and realized recently that I've been neglecting a very important part of the equation in terms of training an effective model. In ...
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4 votes
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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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4 votes
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732 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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Assets cointegration: optimal inventory for futures market

I'm interested in HFT cointegration stratagies, and recently found interesting article "Algorithmic Trading of Co-Integrated Assets" The article describes mean-reversion strategy for N-assets. ...
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4 votes
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131 views

How does one simulate intraday strategies which don't end up flat at the close?

I ran into this trying to simulate trading interlisted names between the NYSE and the TSX. Depending on my strategy parametrization it would sometimes end up with a significant short or long dollar ...
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4 votes
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417 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 ...
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175 views

Where to find someone to work on quant trading strategies together?

I work on designing quant and mix of quant+fundamental trading strategies, but find it is really unproductive to do it at home by myself, and looking to find someone who to do it together with. I've ...
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3 votes
1 answer
297 views

How to incorporate momentum in Ornstein Uhlenbeck to capture overshooting in financial markets?

In modelling asset prices, it is a good idea to model it using a fair value or target price concept. Recently Carr & Prado explored this idea to find optimal stop loss/take profit levels when the ...
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How to "best" exit multiple trades?

Let say I have N opened trades (N = s + b) that are partialy hedged, and paritaly not. In general s != b. Some of them are market sell orders (s), and the rest of them are market buy orders (b). They ...
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How to monetize ability to predict small stock movements smaller than spread?

For a relatively small subset of stock symbols I have been able to build a model that is able to 20-100 times per day consistently predict whether a stock is going up within the next 2 minutes, being ...
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3 votes
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551 views

Meta Labeling for trading opportunities

In Advances in Financial Machine Learning, Lopez explains how we should build a primary exogenous model (binary classifier) to identify trading opportunities and a secondary meta model to filter out ...
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123 views

Realistic Modeling of Capacity in Backtesting a trading strategy

Typically the backtest of a quantitative trading strategy assumes a fixed period and fixed capital at the start to backtest a strategy. However, each strategy has a capacity (due to non-linear trading ...
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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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3 votes
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581 views

Can a stat arb alpha be a global macro alpha?

In academic literature, "statistical arbitrage" is opposed to (deterministic) arbitrage.[1] In deterministic arbitrage, a sure profit can be obtained from being long some securities and short others. ...
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reconstruct LOB from NASDAQ ITCH -how to handle market price order

I am trying to reconstruct the limit order book from the NASDAQ Historical TotalView -ITCH data. After I decode the raw data, I can successfully generate whole messages flow from ITCH data. However,in ...
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3 votes
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111 views

Trading rules from automated search

I after talking to a research fellow, researched about trading rules from automated search. I found in the book Finding Alphas by Tulchinsky a general chapter, ...
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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?
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2 votes
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192 views

Random Walk Theory vs. Quant Trading

I am quite new to random walk theory so please excuse my rather simply put question but I am wondering how can quant trading desks and other algorithmic trading firms exist if there is the random walk ...
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149 views

Reading Recommendations - Quantitative Investment Strategies from a "genuine" quant viewpoint

I recently stumbled the lecture notes of Prof. Avellaneda on Quantitative Investment Strategies (near the bottom of this page). The exposition is highly structured and rigorous, but I am missing in ...
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2 votes
1 answer
344 views

Known mispricing opportunities only available for small traders

Warren Buffett has famously said that he could generate 50% annual returns if he was working with small sums of money. (He cannot move the needle enough now with large amounts of capital). Perhaps two ...
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560 views

Can I use the Sharpe Ratio as an objective function in algorithmic trading?

I’m experimenting with custom loss functions for different trading rules and have come across a few articles citing success in directly using the (negative) Sharpe Ratio as a loss function, ...
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2 votes
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The discontinuity when applying the combinatorial purged cross-validation

In Marcos Lopez de Prado's book, Advances in financial machine learning, he recommends using the combinatorial purged cross-validation(CPCV) for backtesting. His motivation is sensible. Through the ...
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2 votes
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146 views

Competitive levels in Limit Order Books

I've been doing some research on electronic Limit Order Books (mainly equities) and I was wondering if anyone has seen a paper on how to compute competitive limit order prices. By competitive, I mean ...
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2 votes
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What are some special trading phenomena that would be interesting to research?

I'm looking to research special trading phenomena like end-of-month bonds activity, daily closing imbalances in cash equities, futures expiration/settlement manipulation (like in VIX) etc. What are ...
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267 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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2 votes
0 answers
85 views

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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2 votes
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90 views

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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2 votes
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207 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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2 votes
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116 views

how to avoid building a strategy that depends on very long trends

When I construct a strategy, it is easy to make subtle dependencies on trends that have existed for a long time. Sometimes it is legit to explicitly take advantage of the trends. For example, it has ...
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2 votes
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153 views

Yield Curve Trading Strategy Explaining Books

Recently I really enjoyed being here while getting great recommendations. Would like to thank you all. Could you please recommend some books/papers on trading strategies, lets say yield curve ...
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1k views

How to calculate "Differential Sharpe ratio"?

Instead of using the "sliding the time window" method of calculating the sharpe ratio under online framework, they've defined "differential sharpe ratio" as such But under equation 5, you can ...
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2 votes
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263 views

Arbitrage from ATM option trading?

So I was testing out a collar options strategy (long put, short call, and long shares of the underlying stock) in a backtest for a school finance project, and the profits & losses are given by the ...
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2 votes
0 answers
254 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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2 votes
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834 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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2 votes
0 answers
161 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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2 votes
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71 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 ...
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2 votes
0 answers
419 views

Trading strategies for increased realized volatility

Suppose once every 2-3 weeks I have a way to select a few equities that are likely to exhibit higher realized volatility in the future month (relative to the past month). Historically, the average ...
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2 votes
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438 views

cointegration strategy

If it can be proved that two time series $$S_t^1=\alpha + \beta S_t^2 + \xi_t$$ representing stocks are correlated, with $\beta=-2$ and then are proved to be cointegrated, how a portfolio should be ...
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2 votes
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75 views

Literature to Learn about Different Instruments

What is a good source of literature to learn about the specifics of various instruments that are traded? For example, suppose I wanted to know more about MBS's, i.e. how exactly they are securitized, ...
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2 votes
0 answers
119 views

References about market neutral portfolios that isolate unsystematic risk

I am looking for references, information, backtests etc. about market neutral portfolios that go long the index and short stocks of that index with high unsystematic (idiosyncratic) risk. The idea is ...
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2 votes
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How to calculate returns of backtested strategy?

Lets say I have some strategy (long/short) backtested for certain period. Strategy has entries/exits only at the end of the day and may have overnight positions hold. Now I would like to compare ...
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  • 211
2 votes
0 answers
152 views

seasonality and generalized additive model

I am reading a report which talks about seasonality. There is a chart showing the average returns for each month of the year. In the chart it appears the last 3 months of the year tend to be negative. ...
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2 votes
0 answers
90 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 <= ...
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2 votes
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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 ...
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2 votes
0 answers
403 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). ...
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2 votes
2 answers
2k 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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1 vote
0 answers
98 views

Strategies That Are More To Resistant To Alpha Decay Than Others?

Are there certain categories of quantitative strategies, such as arbitrage, momentum, etc, that are more resistant to alpha decay than others? Thanks
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