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Questions tagged [backtesting]

The process of evaluating a strategy, theory, or model by applying it to historical data.

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1answer
48 views

DATA for Backtest

I am a retail trader and i am looking for a data set that comprehends all us equities, ETF's, ADR's and indices going back at least to January 1st 2007. Data would need to be split + dividend ...
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38 views

How to implement an investment strategy in MATLAB? [closed]

Since I`m a total novice in MATLAB I am struggling with a question that might be not even really hard. I have to implement and backtest 4 heuristic investment strategies but literally no idea how to ...
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1answer
34 views

Backtesting model results, but backtesting output sampled at different frequency than model output

So, I'm trying to backtest a model that computes P&L. This model pulls sensitivities on a weekly basis and applies market shocks to these sensitivities to project quarterly P&L. I want to ...
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0answers
67 views

stress testing zero coupon yield curve

i'm currently trying to stress test the zero coupon yield curve using daily observations from 2003 to 2019. Each Zero coupon yield curve originate from an actuarial curve with 37 tenors that range ...
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2answers
89 views

Compare two distributions for forecasting returns

Let's imagine that we have two separate models, both used to forecast the return for the next period. Both models are estimated everyday, and both models outputs a probability distribution. How can we ...
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1answer
93 views

Which data provider do you recommend? [duplicate]

i need to run optimization models and backtests on developed market equities. I have access to Refinitivs Eikon, but it doesnt have a backtest tool and downloading the data is a challenge on his own. ...
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1answer
76 views

How to take back-tested code and convert it to forward-testing code? (in Python)

How do you take back-tested code written using the zipline API and convert that into forward-testing code using the IB API (or better yet ib-insync API)? It seems like you would have to completely re-...
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1answer
117 views

Is studying R quantstrat worth the effort for an individual trader? [closed]

I see at least two problems. The R package quantstrat is poorly documented. And one must have dividends adjusted data. Otherwise the test results will be irrelevant.
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0answers
59 views

Why “profit factor” is used to compare trading strategies?

A lot of books/articles/trading forums mention that "profit factor" is probably the most important measure and should be used to compare different trading strategies. They define profit factor as ...
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0answers
45 views

Historical intraday data [duplicate]

I have been researching on the current APIs that I can request for the most detailed historical end of day intraday quote and trade data available in an easy to use format for research, backtesting ...
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1answer
137 views

R: backtesting with path dependencies

I have a historical PMwR journal of trades (one for each side of position open/close) in R. I wish to backtest trade sizing algorithms, one of the inputs to which calculation will be, on-the-day ...
2
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2answers
122 views

Cumulative Return on Futures

In my current backtesting, I am using log returns as a proxy for simple returns via the relationship $\ln(1 + r) \approx r$ for small enough r. This gives me wonderful properties like time additivity, ...
3
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1answer
235 views

Option Strategy: Python Implementation Advice

I've been tasked to create and backtest an option strategy. The strategy, in vague terms, is to essentially write call options on securities in a universe, i.e., selling insurance. I have an idea of ...
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0answers
32 views

forex backtesting spread cost modeling

For professional level forex trading, what is a reasonable estimate of roundtrip transaction costs (I am talking about major pairs, like EUR/USD).
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3answers
511 views

Is there a python library to generate performance metrics from returns of the strategy?

I am backtesting a strategy and have data generated from the returns of the strategy. Now I need performance metrics like maximum drawdown, Sharpe ratio, Treynor measure etc., I am writing functions ...
2
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1answer
57 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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4answers
334 views

Backtesting Fundamental Equity Strategies in Python

I am trying to run a local backtest using Python and Zipline seems to be the most popular package out there. Does any one have isnight on ingesting fundamental data for the backtest? The documentation ...
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0answers
100 views

Modelling VIX futures backwardation

I have VIX futures trading algorithm and would like to perform Monte-Carlo simulation of VIX and understand how my algorithm performs on each simulation. In this case, not only VIX should be modeled, ...
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0answers
104 views

Backtest Portfolio Analysis

I actually finished an algorithm that i can use to extract all the trades for each stock (each file for each stock). Essentially, i run this code on Excel where there are the input about one stock, ...
2
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0answers
50 views

LGD performing model - LGD estimate vs LGD observed

LGD (Loss Given Default) performing model is developed on through the cycle sample which consists of loans in default. What I want is to compare LGD estimate and LGD observed (realized). LGD observed ...
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0answers
72 views

Zipline issue with SPY data

I have written a strategy to backtest in zipline, and every time I ran the backtest, and error is showed with the line: IndexError: index 0 is out of bounds for axis 0 with size 0 After a bit of ...
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0answers
14 views

Listed Company's Filing Deadline

Where could I get historical record of listed company's filing deadline that announced by SEC of Asia country & US? I could get the latest deadline from respective SEC websites, but not changes ...
2
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2answers
199 views

Does using adjusted closing prices constitute a lookahead bias?

One of my machine learning project involves the use of adjusted close prices (from Yahoo Finance, for better or worse) to determine the label – if a stock's adjusted close price increases by more than ...
2
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1answer
644 views

Backtesting C++ Algorithms

What software is available for backtesting trading algorithms written in the C++ programming language? I would not like to use an online service such as Quantopian or Quantconnect (they don’t offer C+...
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1answer
96 views

Evaluate the significance of the relationship among VIX and the S&P 500

I have the weekly time series of returns for both VIX and S&P 500. For the VIX I'm looking at 1 week return period (e.g. this is a 5 day return series rolling weekly) For the S&P 500, ...
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0answers
41 views

Backtesting on rebalanced portfolio

I want to understand the backtesting mechanism. Assume I've designed an algorithm that evaluated the optimal distribution of asset based on 2-years historical data. Do I understand right that I ...
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0answers
160 views

What do you optimize for? Sharpe ratio, profit factor, profit/drawdown, etc

In my experience, strategies perform best on OS (OutOfSample) data, when I optimize them for maximum Sharpe ratio (on InSample data) at the opposite extreme, when I optimize strategies for ...
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2answers
813 views

Backtesting Market Making Strategy or Microstructure Strategy

How does one backtest either a market making strategy or microstructure-based strategy? I'd imagine that one way would be to record order book states over time and then insert the orders, but it seems ...
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1answer
99 views

Historical stock borrow fees

I am not sure if this is an appropriate question, but anyway: to properly backtest long/short strategy one must have data on what the short loan fees were/are. Is there any decent data source for that?...
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0answers
25 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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1answer
294 views

How to properly set strategy parameters and select portfolio

I have the following strategy pipeline which is a function of several hyperparameters and execution parameters: ...
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0answers
185 views

Berkowitz test for CVaR backtesting

I want to test CVaR using the Berkowitz test (focus on the left tail). I have a couple of doubts: Do I need to transform only actual losses that are above CVaR; In the first transformation, whether ...
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3answers
322 views

Backtesting, how missing data points should be handled?

Assume a daily trading strategy. Obviously, there are weekends and holidays when the market is closed. Should those days be excluded completely or should the price be interpolated in some way to fill ...
3
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0answers
78 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
347 views

Backtrader doesn't display time when backtesting

I am trying to backtest a strategy with Backtrader (not the first time) and have a problem while printing date & time for each iteration (time stay on 23:59:59). Here are the first lines of my ...
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1answer
402 views

How to combine rolling window backtest result?

I have a strategy that buys a set of stocks and holds them for 6 months then rebalances. I would like to apply a rolling window backtest to the following strategy, but am wondering what is the ...
2
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1answer
276 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. ...
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1answer
303 views

Python Library To Calculate Porfolio Statistics

I am working through some backtesting ideas and I would love to capture the basic statistics results for comparison, (cumulative returns, annual returns, sharpe, omega etc.) Is there a python library ...
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1answer
119 views

Unsupervised learning and in out of sample

Assume we are given $N$ samples, let's say small timeseries of 1 hour resolution daily exchange rates - for the sake of argument. Each sample is a $24$ element vector $x$. Then we proceed to do ...
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1answer
408 views

quantstrat for backtesting vs. writing one's own code in R

I have invested a few years in learning R and have developed a number of Monte Carlo backtesting scripts. My question is this: In general, for a person with some experience writing R code who is ...
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1answer
102 views

Dual Settlement Market Backtesting and Analysis

An interesting problems I have been dealing with as a relatively new quant to the Electricity markets is the difficulty of back testing. The issues I have been having with backtesting are that the ...
3
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1answer
176 views

expected shortfall as unconditional expectation

Acerbi has several backtests for expected shortfall. The second backtest is based on this equality Does anybody know how to derive this equality? Can anybody explain, why it makes sense, especially ...
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1answer
146 views

VaR Backtesting. High frequency of exceedances

I'm preparing for thesis defense and I've got simple question connected with Value at Risk backtesting. Portfolio VaR was calculated using historical simulation approach (250 days and 500days) and ...
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0answers
404 views

Extracting continuous futures prices on different dates with the ratio adjustment

I extract continuous prices for a set of futures contracts using Bloomberg. I select the Ratio as adjustment with the Bloomberg default settings. For instance, to extract the first/forward generic ...
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0answers
118 views

Multi objective optimization Swaption/Caplets joint Calibration

People suppose that we have a two asset type portfolio optimization (as Intrument Type 1 and 2). In the each portfolio refered by the instrument type there are 2 asset so we have four asset in total. ...
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1answer
538 views

Backtesting Value at Risk. With kupiec test

I have a certain problem with backtesting calculated earlier Value at Risk. I've got calculated daily VaR with historical simulation method for stocks. I've used two values of alpha 0.05 and 0.1. Now,...
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1answer
446 views

Margin modelling to backtest futures investment strategy

Let say that I have access to continuous daily time series for 20+ years of data for E-mini S&P 500 Index Futures. I have a long/short strategy to backtest that places orders either on open or ...
4
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0answers
153 views

reference for portfolio / margin calculations in backtesting tool

I have been tasked with writing a backtesting tool from scratch. I understand a lot of trading operations, but I am primarily a researcher. I need to support futures and equities trading. I need to ...
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0answers
332 views

How to backtest a factor by building a factor-tilting portfolio

A recent research paper from Wolfe Research suggests an alternative to the traditional "long top quintile, short bottom quintile " approach to backtesting a factor. It says to construct a factor ...
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0answers
233 views

Traffic Light Approach

I recently came across this term "Traffic Light Approach" in the parlance of Back testing and Model Validation. I don't understand it very clearly. I googled a bit, dint find anything very ...