Introduction to Swing Trading

Most trading education glorifies day trading. The quick profits. The instant feedback. The dream of quitting your job to trade from a laptop on a beach.

The reality? The vast majority of day traders lose money. Study after study confirms it. We will look at the numbers shortly.

There is another way. One that does not require sitting in front of screens all day. One that works alongside a full-time career. One that gives you time to think, analyze, and make decisions based on structure rather than impulse.

That way is swing trading.

This course exists because I spent years searching for an approach that fit my life as an engineer and entrepreneur. I found it in swing trading. Not in day trading. Not in scalping. In patiently waiting for high-conviction setups on higher timeframes, entering with a plan, and letting time work in my favor. This module is the foundation for everything that follows.

What is swing trading?

Markets don’t move in straight lines. They move in waves. Price pushes in one direction, pulls back, then pushes again. These are swings. On a chart, they appear as the highs and lows that form the rhythm of every market, on every timeframe.

Swing trading is the practice of identifying these swings and positioning yourself to profit from them. When most people talk about swing trading, they mean trades on the daily, weekly, and monthly charts with holding periods ranging from a few days to several months.

The critical difference from day trading is that swing traders hold positions overnight and through multiple trading sessions. This longer timeframe filters out intraday noise and lets you focus on the larger, more meaningful moves.

As Richard Wyckoff observed nearly a century ago: “worthwhile changes in security prices do not generally occur within the same session.” The moves that matter take time to develop. Swing trading is built around that principle.

Key Concept: Swing trading is not about catching every move. It’s about identifying the swings with the highest probability and the best risk-to-reward, then letting them develop over days or weeks.

The spectrum of trading styles

Swing trading sits in the middle of the trading spectrum. Here is where every style falls:

	Scalping	Day Trading	Swing Trading	Position Trading	Investing
Holding period	Seconds to minutes	Minutes to hours	Days to months	Weeks to years	Years to decades
Daily time	6-8 hrs (intense)	6-8 hrs	30-60 min	30 min/week	Minimal
Trade frequency	20-100+ per day	5-20 per day	A few per week/month	A few per quarter	A few per year
Stress level	Extreme	High	Moderate	Low	Very low
Compatible with career	No	Very difficult	Yes	Yes	Yes

Scalping is the most intense. Hundreds of trades per day, targeting tiny moves, requiring constant focus and fast execution. Day trading is similar but slower, with all positions closed before the market shuts. Neither leaves room for much else in your day.

On the other end, position trading and investing operate on longer timeframes with less active management. Position traders hold for weeks to years. Investors buy and hold for decades. Historically, a diversified global index fund has returned approximately 7% annually.

Swing trading sits in the sweet spot. Enough activity to compound returns actively. Not so much that it takes over your life.

Swing trading vs day trading

This is the comparison most people want to understand. The data is clear.

Barber, Lee, Liu, and Odean studied every individual who day traded on the Taiwan Stock Exchange between 1992 and 2006. Their findings, published in the Journal of Financial Markets (2014):

In a typical year, roughly 360,000 individuals day traded
Only about 15% were profitable after transaction costs
Less than 1% demonstrated the ability to reliably profit over time

Chague, De-Losso, and Giovannetti (2020) studied all individuals who began day trading Brazilian equity futures between 2013 and 2015:

Among those who persisted for more than 300 days, 97% lost money
Only 0.4% earned more than the equivalent of a bank teller’s salary
Their conclusion: “It is virtually impossible for an individual to day trade for a living”

The European Securities and Markets Authority (ESMA) reported in 2018 that across EU jurisdictions, 74% to 89% of retail CFD accounts lose money. These are audited figures that ESMA now requires every EU CFD broker to disclose publicly.

And Barber and Odean’s earlier study “Trading Is Hazardous to Your Wealth” (2000) found that the most active traders underperformed the market by 6.5 percentage points per year. Not because their stock picks were bad, but because excessive trading generated transaction costs that eroded their returns.

The data is unambiguous: trading more does not mean earning more. The opposite is true. The most frequent traders are consistently the biggest losers.

Popular swing trading methodologies

There are many approaches to swing trading. You don’t need to master all of them. You need to find the one that fits your personality and the time you have available.

Indicators

Moving averages smooth out price data to reveal the underlying trend. The most popular signals are the 50/200-day SMA crossover and the 8/21 EMA crossover. They work well in trending markets but produce false signals in sideways conditions. Moving averages are lagging indicators. They tell you what has already happened, not what will happen next.

RSI, MACD, and other oscillators measure momentum. These tools can be useful, but an “oversold” reading doesn’t mean price will reverse. In strong downtrends, RSI can stay oversold for weeks.

Support, resistance, and chart patterns

Support and resistance is one of the most fundamental concepts in technical analysis. Support is where buying pressure prevents further decline. Resistance is where selling pressure prevents further advance. When support breaks, it often becomes resistance, and vice versa.

Chart patterns, Fibonacci retracements, and Elliott Wave provide additional frameworks for anticipating price movement. These tools work best as confluence factors. A Fibonacci level that aligns with a structural support zone is more meaningful than either signal alone.

Order blocks, liquidity, and institutional price levels

This approach strips away indicators entirely and focuses on reading the market through market structure and institutional price levels. The core ideas include:

Market structure: Higher highs, higher lows, break of structure, and market structure shifts
Order blocks: Zones where institutional buying or selling likely occurred
Liquidity sweeps: Moves that target clustered stop losses before reversing
Fair value gaps: Price imbalances left by impulsive moves that price tends to revisit

The logic is to trade at points of institutional interest rather than following retail patterns. Instead of relying on lagging indicators, you read the structure of the market itself.

The strategies taught in this course are inspired by order blocks, support and resistance, and liquidity concepts. You will learn to read market structure, identify institutional price levels, and build a system around these ideas. But first, the foundation.

Breakout and momentum trading

Breakout traders target consolidations near resistance that expand with volume. Mean reversion strategies take the opposite approach, buying after sharp drops and selling after rallies. Both are valid depending on market conditions.

Why technical analysis works

Before committing to any methodology, it helps to understand why technical analysis works at all. John Murphy, in Technical Analysis of the Financial Markets, grounds it on three premises:

Market action discounts everything. Price already reflects all known fundamentals, news, and sentiment. Reading price is a shortcut to reading everything.
Prices move in trends. A trend in motion is more likely to continue than to reverse. The goal is to identify trends early and trade in their direction.
History repeats itself. Chart patterns reflect human psychology, which doesn’t change. The same fear, greed, and herd behavior that drove markets in the 1920s drives them today.

There is no single best methodology. What matters is finding an approach you can apply with consistency and discipline.

Why most traders fail

The methodologies above are not the problem. The problem is how they are applied.

Overtrading

The biggest enemy. Every trade carries risk, commissions, and emotional cost. More trades don’t mean more profit. They usually mean less.

Key Concept: You don’t need to be right most of the time. Many successful swing traders have win rates between 35% and 50%. Profitability comes from the relationship between your average win and your average loss. A 40% win rate with a 3:1 reward-to-risk ratio is very profitable. Richard Dennis reportedly had 95% of his trades end in losses. But the 5% that were winners were large enough to make him one of the most successful traders in history. The math matters more than the win rate.

No defined risk

Many traders enter positions without knowing exactly how much they are willing to lose. Position sizing becomes an afterthought. One bad trade wipes out weeks of gains. Without defined risk, no strategy survives the inevitable losing streaks.

Jesse Livermore, one of the greatest speculators in history, had two rules for managing risk: a time stop (close the trade if there is no profit in 2-3 days) and a price stop. He said: “Whenever I find myself hoping that a trade will come out all right, I get out of it.” Hope is not a risk management plan.

Chasing confirmation

Using multiple indicators to confirm what you already want to believe. RSI says buy, the moving average agrees, the trend line holds. Three weak signals don’t make one strong signal. If you’re using analysis to avoid being wrong rather than to define your edge, the analysis is working against you.

Gambler’s mentality

Doubling down on losers. Increasing size after a loss to “win it back.” Taking random trades based on tips or gut feelings. Real trading is systematic. Every trade follows a plan with defined risk, a clear thesis, and predetermined exits.

The psychology gap

This is the part most people underestimate.

There is a gap between knowing what to do and actually doing it. You see the setup, know the rules, understand the risk. And then you hesitate, override your own plan, or freeze entirely.

This is not a knowledge problem. It’s a psychological one.

Mark Douglas identified four fears that cause the vast majority of trading errors:

Fear of being wrong. You hold a losing position because admitting the trade failed feels like admitting you failed.
Fear of losing money. You tighten your stop too much, exit too early, or avoid taking the trade at all.
Fear of missing out. You chase a move that has already left without you, entering at the worst possible price.
Fear of leaving money on the table. You exit a winning trade prematurely because you can’t stand the thought of giving back unrealized profits.

As Douglas explained: “Fear has the effect of narrowing our focus of attention onto the object of our fear so that we end up creating the very experience we are trying to avoid.”

These fears cause traders to deviate from their own plans. The result is what behavioral economists Shefrin and Statman called the disposition effect: the tendency to sell winners too early and hold losers too long. Traders don’t lose because they pick bad setups. They lose because of behavioral patterns they can’t see in themselves.

Douglas put it simply: “Those huge drawdowns are not the result of something you did not know about the market. They are the result of something you didn’t know about yourself.”

The good news? This is a learnable skill. The professionals who produce consistent results aren’t smarter or more talented. They’ve developed a different way of thinking about trading. As Douglas said: “They are people just like you and me. They have evolved into a different way of thinking about trading. And you can do it, too.”

Why swing trading fits real life

Most trading education promotes a lifestyle that doesn’t exist for most people. Quit your job. Trade full-time. Stare at charts eight hours a day.

Swing trading offers a different path.

Time commitment

Because swing trading operates on higher timeframes, the daily time requirement is minimal. A typical week might look like:

Weekend: Full analysis, identify areas of interest, prepare scenarios
Monday open: Confirm weekly direction
Weekdays: Quick pre-market check, rely on alerts during the day
Friday close: Review the weekly candle

Orders are placed as limit or market orders with predefined stop losses. Price alerts handle monitoring. Many swing traders execute trades from their phone.

Richard Wyckoff, one of the most successful market operators of the early 20th century, wrote that “the best work I ever did in judging the market was when I devoted one hour a day” and that “one’s real studying is done away from the market, not in a broker’s office.” A century later, nothing has changed. The edge comes from preparation, not screen time.

Richard Schabacker designed his entire technical analysis course for “the average man who can devote only an hour or so a day” to the markets. He wrote in 1932 that “the average man of intelligence who brings sober study and application to his market analyses can find dependable profits in the stock market, year in and year out.”

Swing trading isn’t a compromise. It is how serious market participants have always operated.

Financial stability

Having a stable income while learning to trade is an enormous advantage. You don’t need to generate income from trading immediately. That freedom removes desperation from your decisions and lets you trade your plan rather than trading out of fear.

Most traders need months or even years to become consistently profitable. Financial stability during that learning period is the difference between surviving long enough to develop your edge and blowing up your account before you get there.

As Peter Steidlmayer advised: “The main thing is to be consistently good over a long period of time. Play the compound interest game. Build your base slowly and surely. A small increase on a big base is better than a big move on no base.”

The thinkers who shaped swing trading

Modern swing trading stands on the work of a few key figures. Their ideas form the intellectual foundation of what we do today.

Richard Wyckoff (1873-1934) studied operators like J.P. Morgan and Jesse Livermore, then developed the Wyckoff Method: markets as campaigns of accumulation and distribution driven by large institutional players. His concept of the Composite Operator is the direct ancestor of modern institutional trading concepts. He reduced analysis to three elements: price, volume, and the relationship between the two.

Richard Schabacker (1899-1935) served as Financial Editor of Forbes and wrote the first systematic study of chart patterns and volume analysis. He classified price into three timeframes: major, intermediate, and minor. This hierarchy is the foundation of multi-timeframe analysis.

Mark Douglas (1948-2015) turned early career losses into a lifelong study of trading psychology. His books The Disciplined Trader and Trading in the Zone argue that the primary barrier to consistent trading isn’t methodology but mindset. His framework of thinking in probabilities and the four trading fears is foundational to this course.

J. Peter Steidlmayer developed Market Profile at the Chicago Board of Trade. His core formula: Price + Time = Value. Prices where the market trades most frequently form a value area. Prices at the extremes represent opportunity. His logic underpins modern concepts like supply and demand zones and volume profile.

What’s next

Now you have the landscape. What swing trading is, how it compares to other styles, why most traders fail, and the people whose ideas shaped everything we do today.

The next module gets into the mechanics. Market structure. Higher highs, higher lows, break of structure, and market structure shifts. Once you can read market structure, you can read any chart on any timeframe. It is the foundation for every strategy taught in this course.

Sources

Barber, B.M., Lee, Y., Liu, Y., Odean, T. (2014). “The Cross-Section of Speculator Skill: Evidence from Day Trading.” Journal of Financial Markets, 18, 1-24.
Chague, F., De-Losso, R., Giovannetti, B. (2020). “Day Trading for a Living?” SSRN Working Paper, FGV School of Economics.
European Securities and Markets Authority (2018). “ESMA agrees to prohibit binary options and restrict CFDs to protect retail investors.” Press Release ESMA71-98-128.
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.
Murphy, J. (1999). Technical Analysis of the Financial Markets. New York Institute of Finance.
Douglas, M. (1990). The Disciplined Trader. New York Institute of Finance.
Douglas, M. (2000). Trading in the Zone. Prentice Hall Press.
Shefrin, H. & Statman, M. (1985). “The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence.” The Journal of Finance, 40(3), 777-790.
Wyckoff, R. (1924). How I Trade and Invest in Stocks and Bonds. The Magazine of Wall Street.
Schabacker, R. (1932). Technical Analysis and Stock Market Profits. Harper & Brothers.
Steidlmayer, J.P. & Hawkins, S.B. (2003). Steidlmayer on Markets: Trading with Market Profile. John Wiley & Sons, 2nd Edition.