Strategy lab
Every strategy from 151 Trading Strategies and all 101 Formulaic Alphas as formulas you can edit and backtest on ten years of daily stocks, ETFs, futures, forex and crypto data. Free, in your browser.
10.3.1FuturesBacktest
Contrarian trading – market activity
Run the contrarian trade only on contracts whose trading volume jumped, where moves are more likely to be overreactions.
Note. Uses front-month continuous futures, which jump at contract rolls. The open-interest filter is omitted because open interest is not in the data.
Edit anything; the result updates as you type. Lines like window = 20 become sliders.
AssetsLoading…
Hypothetical backtests on daily closes with no slippage unless you add costs. Survivorship bias applies: the stock list is today’s large caps. For learning, not investment advice. Data: Yahoo Finance via yfinance.
- Source
- 151 Trading Strategies
- Section
- 10.3.1 · Futures
- Asset class
- Futures
- In the lab
- Full backtest
Contrarian trading – market activity (10.3.1)
Run the contrarian trade only on contracts whose trading volume jumped, where moves are more likely to be overreactions.
Key equation
Lab formula
r = close / delay(close, 5) - 1
volume_change = sum(volume, 5) / delay(sum(volume, 5), 5)
active = rank(volume_change) > 0.5
active ? -(r - market(r)) : nanUses front-month continuous futures, which jump at contract rolls. The open-interest filter is omitted because open interest is not in the data.
How the backtest works
The formula is evaluated for every asset on every day. Its values become positions at that day’s close, using the portfolio rule you pick, and earn the next day’s close-to-close return. Costs are charged in basis points on the amount traded. Everything runs in your browser on daily data from Yahoo Finance, adjusted for splits and dividends.
More in Futures
- 10.1 Hedging risk with futures
- 10.1.1 Cross-hedging
- 10.1.2 Interest rate risk hedging
- 10.2 Calendar spread
- 10.3 Contrarian trading (mean reversion)
- 10.4 Trend following (momentum)
Source: Kakushadze, Z. and Serur, J. A. (2018). 151 Trading Strategies. Palgrave Macmillan. SSRN 3247865. Summaries are our own.