Familiarity bias in trading is a psychological tendency that leads investors to prefer assets and markets they know well, often at the expense of better opportunities elsewhere. Instead of objectively analyzing all available options, they stick to what feels “safe,” even when better opportunities exist.

This cognitive bias is present when traders consistently choose stocks from their home country, invest heavily in their industry sector, or stick to a limited set of trading strategies simply because they feel more comfortable with what’s familiar—a pattern well-documented in trading psychology.

Studies have shown that investors prefer to invest in brands they are familiar with instead of the ones they do not recognize, even if those would yield better returns.

A more recent study even found that day traders who live near a local company significantly increase their likelihood of that stock.

How Familiarity Bias Impacts Traders

Familiarity Bias skews decision-making in several ways, including:

1. Overconcentration in Certain Stocks

Many traders pile into familiar stocks instead of diversifying across multiple sectors and asset classes. This leads to a lack of diversification, making their portfolio highly vulnerable to industry downturns. Research has shown that investors managing familiar portfolios were 1.34 times more likely to hold onto losing investments rather than selling them.

Example: A trader who works in the tech industry may favor tech stocks like Apple, Microsoft, and Nvidia while ignoring strong opportunities in healthcare, energy, or industrial sectors.

2. Ignoring Data in Favor of Emotion

Even when data suggests selling, traders often hold onto familiar stocks because they feel emotionally attached. They believe, “I know this company well; it will bounce back,” rather than objectively analyzing price trends and fundamentals.

Example: If a trader has owned Tesla stock for years, they may refuse to sell even when price action and technical indicators suggest a downtrend, purely because of past success.

3. Missing Out on High-Performing Stocks

Familiarity Bias keeps traders from exploring new opportunities. They might dismiss unknown stocks or markets, even when those present better risk-adjusted returns.

Example: A trader might only invest in U.S. stocks while ignoring international markets that could provide diversification and growth potential.

Remember that familiarity doesn’t equal safety.

How Systematic Trading Eliminates Familiarity Bias

Systematic trading is the antidote to Familiarity Bias. It replaces emotion-driven decisions with objective, rules-based trading strategies.

1. Objective Entry and Exit Signals

With a trading system, every trade is backtested and follows predefined rules. This removes the temptation to hold onto “familiar” stocks or avoid new opportunities out of fear.

2. Pre-Defined Portfolio Diversification

A well-designed systematic trading strategy spreads risk across different stocks, sectors, and even markets. This forces traders to step outside their comfort zones and seek higher-probability trades.

3. Removing Emotional Bias

When traders rely on pre-tested algorithms, there is no room for emotional bias. The system executes based on probabilities, not personal preferences.

Challenges Systematic Traders Face with Familiarity Bias

Even traders who use systems can still fall into the Familiarity Bias trap. Here are some examples:

  1. “Tweaking” the System for Comfort: Some traders adjust entry rules, stop losses, or portfolio allocation to favor stocks they feel more comfortable with, which destroys the system’s objectivity.

Solution: Stick to backtested rules and avoid over-optimizing your system for personal biases.

  1. Over-Reliance on a Single Market: Even systematic traders can gravitate towards familiar markets (e.g., only trading the ASX or S&P 500).

Solution: Build a portfolio of systems that trade across multiple markets to avoid overconcentration risk.

  1. Hesitation to Execute Trades in Unfamiliar Stocks: Despite a system giving a clear entry signal, traders hesitate when the stock is unfamiliar.

Solution: Use a trading journal to record hesitations and track how often these ignored signals would have been profitable.

How to Overcome Familiarity Bias in Trading

To protect your trading profits, you need a structured plan to fight Familiarity Bias. Here’s how:

  1. Use a Trading System:  A rules-based trading approach eliminates subjectivity from your decisions.
  2. Journal Your Trades:  Write down when you hesitate to enter or exit a trade due to “gut feel.” Reviewing these notes will expose your biases over time.
  3. Backtest Unfamiliar Stocks: If a stock feels unfamiliar, backtest it! Data-driven insights will replace fear with confidence.
  4. Set Position Sizing Rules: Use position sizing strategies to spread risk rather than overloading on “safe” stocks.
  5. Stay Accountable: Join a trading community where others hold you accountable to objective trading rules

FAQs about Familiarity Bias in Trading

1. Is Familiarity Bias always bad for traders?

Not necessarily. It helps traders feel comfortable, but when it leads to poor diversification, emotional decision-making, or missing profitable trades, it becomes dangerous.

2. Can a trading system completely eliminate Familiarity Bias?

A good system significantly reduces bias, but traders still need discipline to follow it without making emotion-driven tweaks.

3. How do I know if Familiarity Bias is affecting me?

Check your trade history. If you repeatedly trade the same few stocks or hesitate to act on valid signals for unfamiliar stocks, you’re likely experiencing Familiarity Bias.

4. Should I trade stocks I don’t know at all?

If your trading system signals a trade, the stock’s familiarity doesn’t matter. Your edge comes from probabilities, not personal comfort.

5. What’s the best way to overcome Familiarity Bias?

  • Backtesting, diversification, and strict adherence to trading systems. When you trust your system, you no longer need to rely on what feels familiar. You just follow what works. 

Conclusion: Beat Familiarity Bias & Trade with Confidence

Familiarity Bias can quietly sabotage your trading results. Sticking to “comfortable” stocks limits your potential and increases risk. The solution? Systematic trading removes emotion and ensures you trade based on logic, not comfort.

If you’re ready to eliminate bias and build confidence in a portfolio of proven trading systems, the Trader Success System is your answer.

This is the last stock trading course you will ever need—because it will teach you how to trade with 100% confidence, free from bias and emotional decision-making.

Apply now and start trading smarter today.

Trading Psychology and Psychological Bias Articles

To dive deeper into how other psychological biases affect your trading psychology and decisions as well as practical ways to overcome them, explore the articles below. For a comprehensive guide on mastering your mindset and building a resilient psychology, visit our Trading Psychology page.

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Adrian Reid Founder and CEO
Adrian is a full-time private trader based in Australia and also the Founder and Trading Coach at Enlightened Stock Trading, which focuses on educating and supporting traders on their journey to profitable systems trading. Following his successful adoption of systematic trading which generated him hundreds of thousands of dollars a year using just 30 minutes a day to manage his system trading workflow, Adrian made the easy decision to leave his professional work in the corporate world in 2012. Adrian trades long/short across US, Australian and international stock markets and the cryptocurrency markets. His trading systems are now fully automated and have consistently outperformed international share markets with dramatically reduced risk over the past 20+ years. Adrian focuses on building portfolios of profitable, stable and robust long term trading systems to beat market returns with high risk adjusted returns. Adrian teaches traders from all over the world how to get profitable, confident and consistent by trading systematically and backtesting their own trading systems. He helps profitable traders grow and smooth returns by implementing a portfolio of trading systems to make money from different markets and market conditions.