Why Do 90% of Stock Traders Lose? Data and Facts Rarely Discussed

Note: This article discusses Indonesian financial products and regulations. The underlying investment principles and research findings apply globally.

“Achieve consistent profits from stock trading! Turn IDR 10 million into IDR 100 million in one year!”

Ads like this are common from major securities firms like OCBC Sekuritas, Mandiri Sekuritas, or other trading apps. They show constantly rising charts, successful trader testimonials, and bonuses for opening accounts.

What they rarely tell you: the majority of stock traders (around 80-95%) lose money in the long run.

This isn’t a conspiracy theory. It’s a fact supported by academic research and stock market data from various countries. Learn more about trading vs passive investing. Let’s discuss why stock trading is so difficult, what causes most traders to fail, and what alternatives are more realistic for the average investor.

What Percentage of Traders Actually Profit?

International Research Data

1. Taiwan Stock Exchange Research (2004-2014)

Research on 300,000+ trading accounts at the Taiwan Stock Exchange found:

• 80% of traders lost after transaction costs
• Only 1% of traders consistently profited after costs
• 97% of individual traders underperformed versus random buy-and-hold

(Source: Barber, B. M., Lee, Y. T., Liu, Y. J., & Odean, T. (2014). “The Cross-Section of Speculator Skill: Evidence from Day Trading.” Journal of Financial Markets)

2. Brazil Day Trading Research (2012-2017)

Analysis of 20,000 day traders in Brazil’s stock market:

• 97% of traders lost after costs and taxes
• Only 3% profited, and of that 3% only 1.1% profited more than minimum wage
• Median profit of winning traders: ~5% per year (lower than index fund returns)

(Source: Chague, F., De-Losso, R., & Giovannetti, B. (2020). “Day Trading for a Living?” SSRN Working Paper)

3. FINRA Research (US, 2010-2019)

Data from the Financial Industry Regulatory Authority (US):

• About 70-80% of day traders lose in their first year
• Less than 1% of day traders profit consistently after 5 years

Conclusion: Around the world, data shows the same pattern — the vast majority of traders lose money, only a small minority (<5%) profit consistently.

The Situation in Indonesia

Unfortunately, OJK (Indonesia’s Financial Services Authority) and BEI (Indonesia Stock Exchange) don’t publicly release profitability data for retail investors. However, we can make assumptions based on global patterns:

• Indonesia has less experienced retail investors than developed markets (most investors only started in 2020-2021)
• Transaction costs in Indonesia are quite high (broker fees + 0.1% PPh tax per transaction + 10% dividend tax)
• Market makers and institutions have technological advantages (trading bots, real-time data access, large capital)

Conservative estimate: Likely 85-95% of retail traders on BEI lose in the long run (consistent with global data).

Why Do Most Traders Lose? 5 Main Causes

1. Transaction Costs Erode Profits

Reality Often Forgotten:

Every time you buy/sell stocks, you pay:

• Broker fee: 0.15-0.25% per transaction (buy + sell = 0.3-0.5%)
• PPh tax: 0.1% of sale transaction value
• Bid-ask spread: Price difference between buy and sell (can be 0.1-1% depending on stock)

Example Simulation:

Say you trade 10 times per month with IDR 10 million capital:

Total annual cost: IDR 6 million (60% of initial capital!)

This means: You must profit at least 60% per year just to break even after costs. Meanwhile, the JCI (IHSG) averages only ~10-15% per year.

The more frequently you trade, the more costs erode your profits.

2. Overconfidence Bias: “I Can Beat the Market”

A Deadly Psychological Bias:

Most traders believe they can “outsmart the market” — beat other investors with technical analysis, candlestick patterns, or “market instinct.”

Reality:

• The market is a zero-sum game after costs: For you to profit, someone else must lose
• Your opponents aren’t ordinary retail investors — you’re competing with:
  • Trading algorithms (high-frequency trading, can execute thousands of orders per second)
  • Institutional fund managers (access to deep research, real-time data, large capital)
  • Brokers/market makers (can see order flow, profit from spreads)

Analogy: Entering the trading market is like playing poker against professional players who have more cards, can see your cards, and play with 100x your capital. Who’s more likely to win?

Research Data:

Study by Brad Barber & Terrance Odean (2000) at UC Berkeley found:

• The most active traders (top 20% by trading frequency) underperformed the market by 6.5% per year
• Buy-and-hold investors who rarely traded consistently outperformed active traders

(Source: Barber, B. M., & Odean, T. (2000). “Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors.” The Journal of Finance)

3. Emotional Trading: Fear & Greed

Two Emotions That Destroy Trading Accounts:

1. FOMO (Fear of Missing Out): Buy stocks because you’re afraid of missing a rally → buy at the peak
2. Panic Selling: Sell stocks as soon as price drops slightly → realize losses

Typical Retail Trader Pattern:

Price rises 10% → "Wow! Buy quickly before it's too late!" (buy at peak)
Price drops 5% → "Oh no! Already losing! Sell before it drops more!" (sell at bottom)
Price rises again 20% → "Ugh, shouldn't have sold..." (FOMO again)

Result: Buy high, sell low — the opposite of basic investment principles (buy low, sell high).

Why Does This Happen?

The human brain wasn’t designed for trading:

• Amygdala (emotional brain) responds to losses 2x stronger than gains (loss aversion)
• Dopamine rush when profiting → trading addiction → overtrading
• Recency bias: Remembering recent wins, forgetting previous losses

4. Illusion of Control: Believing in Patterns That Don’t Exist

Technical Analysis: Science or Pseudoscience?

Most traders use technical analysis (candlestick patterns, support-resistance, MACD, RSI, etc.) to predict prices.

The Problem:

Academic research shows technical analysis cannot consistently predict prices:

• Eugene Fama (Nobel Prize winner in Economics): “Stock prices move randomly (random walk theory) — past patterns cannot predict the future”
• Burton Malkiel: In his book A Random Walk Down Wall Street, he proved that random portfolios (throwing darts at a stock list) can outperform active traders

Empirical Test:

Study by Andrew Lo & Craig MacKinlay (1999) found:

• Some technical patterns have slight predictive power (about 52-53% accuracy)
• However, profits from these patterns disappear after transaction costs

Analogy: Reading candlestick patterns is like reading cloud patterns to predict tomorrow’s weather. Sometimes right, but more often wrong. And if you pay IDR 50,000 every time you look at clouds, you’ll definitely lose.

5. Survivorship Bias: You Only See Successful Traders

Securities Ads Always Show:

• “Mr. Budi made IDR 500 million profit from trading!”
• “Mrs. Ani bought a car from stock trading profits!”

What They Don’t Show:

• 1,000 other traders who lost everything
• Traders who went bankrupt and left the market (no longer visible)

Survivorship bias makes us believe trading is easy, because we only see winners. In reality, winners are statistical anomalies, not the norm.

Casino Analogy: Casinos always promote jackpot winners, never show millions who lost. The stock market for retail traders = legal version of a casino.

Beware of Securities Firm Promotions: They Profit from Fees, Not from Your Performance

Rarely Noticed Conflict of Interest

Broker/Securities Business Reality:

Brokers don’t care whether you profit or lose. They profit from:

1. Transaction fees: The more you trade, the more they profit
2. Margin trading/leverage: They profit from loan interest (can be 12-18% per year)
3. Payment for order flow (in some countries): Brokers sell order flow to market makers

Real Example:

Say you trade 10x per month with IDR 10 million capital:

• Broker fee (0.15% per side): IDR 30,000/transaction → IDR 300,000/month
• In one year: IDR 3.6 million goes into broker’s pocket

Now multiply by 100,000 retail traders in Indonesia:

• Brokers profit IDR 360 billion/year from fees alone
• Regardless of how many traders lose

Why Are Securities Ads Aggressive?

They know: The more people trading, the more they profit — regardless of whether traders profit or lose.

Marketing Tactics to Watch For:

1. “Free account opening + stock bonus!”

   • Incentive for you to start trading (and pay fees)

2. “Sophisticated trading platform with AI/robot features!”

   • Technology features don’t guarantee profit — institutional algorithms are still more sophisticated

3. “Free webinar from successful traders!”

   • Survivorship bias — trainers often profit more from selling courses than trading

4. “10x leverage! Maximize profits!”

   • Leverage magnifies profits AND losses — most beginners go bankrupt from margin calls

More Realistic Alternative: Passive Investing

If 90% of traders lose, what’s the solution?

Simple answer: Don’t trade. Just invest passively.

Why Is Passive Investing Superior?

1. Far Lower Costs

2. Higher Returns (Paradoxically!)

Historical data shows:

• JCI rises average 10-15% per year (long-term)
• Indonesian equity index funds return ~12-14% per year (last 10 years)
• Most active traders underperform JCI after costs

This means: By doing nothing (buy-and-hold), you can beat 90% of active traders. Understand more about active vs passive mutual funds.

3. Stress-Free & Emotion-Free

• No need to monitor charts daily
• No FOMO or panic selling
• Time can be used for productive things (work, business, family)

When Does Trading Make Sense?

Trading isn’t for everyone. But there are contexts where trading can be rational:

1. If You Have an Edge (Competitive Advantage)

Valid edges:

• Faster information access (e.g., working in a specific industry, having legal insider knowledge)
• Superior technology (your own trading algorithms, colocated servers at the exchange)
• Large capital (can move the market, get better prices)

If you’re a retail trader with <IDR 100 million capital, using common platforms, and relying on technical analysis:

• ❌ You DON’T have an edge
• ✅ You’re “dumb money” that becomes the counterparty to “smart money”

2. If You Consider Trading Entertainment, Not Investment

If you:

• Allocate <5% of portfolio to trading (e.g., IDR 5 million out of IDR 100 million total assets)
• Consider this money as “entertainment expense” like watching movies
• Don’t expect profit, just learning and having fun

Then go ahead and trade. But don’t expect this to become a source of passive income.

3. If You Truly Want to Become a Professional Trader

Consequences:

• Need large capital (minimum IDR 500 million - 1 billion)
• Ready to lose 50-80% of capital in the learning process (2-5 years)
• Treat trading like a business (record every trade, analyze mistakes, continuous learning)
• Compete with algorithms and institutions

Realistic? For 99% of people, it’s much easier to focus on main career/business and passive investing.

Conclusion: Data Doesn’t Lie

Undeniable facts:

1. 80-95% of traders lose in the long run (global research is consistent)
2. Transaction costs, psychological biases, and competition with institutions make trading very difficult
3. Brokers/securities firms profit from your trading activity, not from your success
4. Passive investing (index funds, buy-and-hold) statistically beats most active traders

Message for you:

Don’t believe trading ads that sound too good to be true.

If trading were really as easy and profitable as they claim, why don’t brokers just trade with their own capital? Why do they prefer profiting from your trading fees?

Much more realistic alternative:

1. Focus on main career/business (primary income source)
2. Set aside 10-30% of income for investing
3. Invest in index funds or blue chip stocks (buy-and-hold)
4. Reinvest dividends, compound for 10-20 years

Is this boring? Yes.

Not as exciting as trading? Yes.

But this is what actually works for 99% of people.

References

1. Barber, B. M., Lee, Y. T., Liu, Y. J., & Odean, T. (2014). “The Cross-Section of Speculator Skill: Evidence from Day Trading.” Journal of Financial Markets, 18, 1-24.

   • Link

2. Chague, F., De-Losso, R., & Giovannetti, B. (2020). “Day Trading for a Living?” SSRN Working Paper.

   • Link

3. Barber, B. M., & Odean, T. (2000). “Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors.” The Journal of Finance, 55(2), 773-806.

   • Link

4. Malkiel, B. G. (2019). A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing. W. W. Norton & Company.

5. Fama, E. F. (1970). “Efficient Capital Markets: A Review of Theory and Empirical Work.” The Journal of Finance, 25(2), 383-417.

6. Lo, A. W., & MacKinlay, A. C. (1999). A Non-Random Walk Down Wall Street. Princeton University Press.

7. FINRA Investor Education. “Day Trading: Your Dollars at Risk.”

   • Link

Disclaimer: This article is for educational purposes. Not investment or trading advice. Do your own research and consult financial professionals before making investment decisions.

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