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Backtest your stock strategies before you risk real money

Build a screening strategy, backtest it on every stock on the Nordic exchanges over the last 10 years, and see how it would have done against the market, after trading costs.

StrategyQuality value
illustration
StrategyBenchmark
1,523Nordic stocks
4exchanges: Oslo, Stockholm, Copenhagen, Helsinki
12years of daily prices
13popular strategies re-tested every evening
Product demo

See a backtest from start to finish

Choose your rules, run the backtest, and explore the results.

Try it yourself
20-second demo with captions. A real historical backtest; waiting time shortened.
Read the walkthrough
  1. Start with five Oslo stocks: EQNR, DNB, MOWI, TEL and ORK.
  2. Rank by six-month momentum and hold the top three stocks with equal weights.
  3. Test January 2024 to September 2026 with NOK 100,000, monthly rebalancing and 10 bps commission.
  4. Run the backtest and compare return, risk and the equity curve with the benchmark.
Real results

Well-known strategies, tested on Oslo Børs

Real backtests with the same rules and trading costs as your own, updated every weekday evening. Picked as common investing styles, not for their results.

All popular strategies
StrategyBenchmark

Per year = average annual return (CAGR). Benchmark = every liquid stock in the market in equal weight. Simulations on historical data, not investment advice or a promise of future returns.

Backtest stock strategies

Filter on price, liquidity, trend, momentum, RSI, volatility, dividend yield, beta, P/E, EV/EBITDA, debt and more. Rank the survivors, hold the top picks, rebalance daily, weekly, monthly, quarterly or semi-annually.

Realistic trading costs

Your broker's commission and minimum fee on every trade, with presets for Nordnet, Avanza, DNB, Nordea, Saxo and more, plus optional slippage that grows with trade size relative to each stock's daily turnover, so illiquid small caps don't look easier to trade than they are.

No peeking at the future

Each trade uses only data available that day. Fundamentals come from annual reports and are used only after they were published. Bad price data is cleaned out.

Build strategies with AI

Describe a strategy or the stocks you want in your own words. The AI assistant turns it into settings, runs the backtest or the screen, and explains what it found, with the caveats. Or connect Tickback to your own Claude and ask there. Tickback in Claude →

A Tickback score for every stock

Every stock ranked from 0 to 100 in its market on quality, value and momentum, every day. Sort the screener by it, rank your own strategies by it, and see how the top 20 would have done after costs.

Find out if it was luck

See whether a result is skill or just small caps and momentum with a factor regression, walk-forward test the optimizer so it can't use hindsight, and get the Deflated Sharpe Ratio: the chance the best setting's edge is real. Download every trade for Python or a spreadsheet. Methodology →

Your own factors and formulas

Combine factors into formulas such as rank(roe) - rank(pe), import your own scores or macro series from a spreadsheet, go long, short or both, and time the market on the index, the policy rate or your own data.

Stock screener for the Nordic exchanges

Screen all stocks today or on any past date, turn a screen into a backtest in one click, and save the strategies you like. Run in NOK, USD, EUR, SEK or DKK.

Built for Nordic stocks

Most backtesters are made for US stocks. A spreadsheet can do anything, but you have to build it all yourself.

Feature Tickback Spreadsheet Typical US-focused backtester
Every stock on Oslo Børs and Nasdaq Stockholm, Copenhagen and Helsinki, 12 years back Yes Collect it yourself Rarely
Fundamentals used only after they were published Yes Easy to get wrong Varies
Nordic broker fees, with the minimum per trade Yes Build it yourself Mostly US brokers
Slippage that grows with trade size and each stock's liquidity Yes No Varies
AI scores from company reports and stock exchange announcements Yes No No
Describe a strategy in Norwegian, Swedish, Danish, Finnish or English Yes No Mostly English
Paper-trade your strategy from today Yes By hand Varies
Factor regression: alpha after size, momentum and low volatility Yes Build it yourself Rarely
Walk-forward testing and the Deflated Sharpe Ratio Yes Build it yourself Varies
Export trades and equity curves to CSV or JSON Yes Yes Varies
Use it from Claude with a connector Yes No Rarely
Free, no credit card Yes, in beta Yes Often paid

How it works

  1. Try a backtest right away, no account needed. Sign up with Google, free and in one click, for 50 backtests a day, favourites and live tracking.
  2. Pick your filters, or start from a preset such as momentum, dividend, low volatility or quality value.
  3. Run the backtest and compare return, drawdown and Sharpe ratio with an equal-weight benchmark. Save the good ones as favourites and rerun them as new data arrives.

Read the full guide →

The data: every stock on Oslo Børs and Nasdaq Stockholm, Copenhagen and Helsinki, including the growth markets, with 12 years of daily prices, dividends and splits from Yahoo Finance, updated every weekday evening. Also included: annual financial statements, beta against each market's index, and daily exchange rates.

Backtests are simulations on historical data, not investment advice. Past results don't guarantee future returns. Companies that were delisted are not in the data, which makes results look somewhat better than reality.

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