Cover of the summary of “High Probability trading”

Book summary “High Probability trading”: summary

Marcel Link

4,698 words · 27 min read

You face constant losses, emotional execution, and high failure rates as a retail trader. Markets drain your capital when you lack a business plan, trade without discipline, and misunderstand risk management.

Summary text

4,698 words · 27 min read

Introduction

You face constant losses, emotional execution, and high failure rates as a retail trader. Markets drain your capital when you lack a business plan, trade without discipline, and misunderstand risk management.

Marcel Link addresses these struggles by providing a professional framework to master market mechanics and preserve capital. You learn to align your trades with dominant trends, eliminate emotional mistakes, and execute only high probability setups.

The book answers several critical questions about your trading performance:

  • How much capital do you need to survive initial drawdowns?
  • Why do news releases and public indicators trap you?
  • How do you combine multiple time frames to find accurate entries?
  • What rules protect your account from emotional overtrading?

1. Setting Realistic Goals and Capitalization

Beginner traders routinely set mathematically impossible return goals. Professional fund managers are satisfied with much lower annual percentages. Novices often expect to turn a small starting sum into massive profits, translating to yearly returns of 800 to 10,000 percent. Elite hedge fund managers and professional traders consider a 35 percent annual return to be an exceptional result.

A real estate agent who had never traded before wanted to open a $25,000 account and make $5,000 a week to quit his job. This equated to an 800 to 1000 percent annual return. He ignored warnings, lost $17,000 in two months, and gave up trading six months later.

Trading with insufficient capital drastically increases the likelihood of failure because small accounts cannot survive inevitable losing streaks. A small account size forces you to take excessive risks and margin yourself to the hilt just to make a living. This leads directly to overtrading. Adequate capitalization gives you staying power, room for error, and the ability to risk less per trade.

Marcel Link reflects on his early trading days when he tried to trade with a $5,000 account. He made elaborate tables of exponential monthly growth before realizing the road to easy street is filled with detours and roadblocks.

Return Expectations and Account Size

Trading must be operated with the rigorous planning, capitalization, and objectivity of any professional commercial enterprise. Most commercial businesses fail within their first two years primarily because they are undercapitalized.

Mastering financial markets requires a multi-year learning curve during which capital preservation takes precedence over profit generation. You should anticipate a multi-year window to pay your educational tuition and dues. During the initial two to five years, your overriding objective is keeping enough capital alive to continue trading.

  • Give yourself at least 2 to 5 years to learn the markets and pay initial trading tuition.
  • Maintain the belief that you can become an elite trader while remaining completely realistic about the 90 percent failure rate.
  • Build a comprehensive trading plan outlining trading style, time frame, costs, money management, potential profits, and risks.
  • Ensure sufficient start-up and working capital before risking live money.
  • Evaluate every trade through the lens of objective risk-reduction rather than entertainment.

Market Goals and Self-Improvement

Traders need internal self-improvement goals focused on risk limitation, mistake correction, and capital preservation rather than arbitrary monetary amounts.

Focusing solely on dollar amounts creates psychological pressure to overtrade after losses. You should prioritize process-oriented rules such as keeping individual losses small, stopping market chasing, and treating capital preservation as the primary objective. The author notes that making over $1,000 in his second week of trading created a psychological anchor that ruined his discipline. It forced him to overtrade 2 and 3 contracts instead of sticking to his original plan of trading 1 contract for $200 a day.

Stocks reach their overall destination through a series of upwaves and downwaves. During a down move in AMAT from 10 a.m. to 12:30 p.m., the stock dropped over $4. It did so in downwaves averaging about a dollar and a half, interspersed with three-quarter-dollar upwaves.

  • Calculate the Average True Range using the last 5 and 10 days of price data.
  • Target exiting trades when the market is within 80 percent of the average daily range.
  • Reevaluate ranges constantly over time as market volatility changes.
  • Identify typical wave sizes for the specific market being traded.
  • Combine Elliott wave analysis, trendlines, channels, and oscillators to spot overbought or oversold conditions.
  • Take profits when a wave is ending instead of holding out for the absolute top or bottom.
  • Identify personal trading weaknesses and actively work to fix them.
  • Keep losing trades to under 2 percent of total account equity.
  • Establish specific loss limits for bad days that are smaller than good-day profit goals.
  • Wait for pullbacks and retracements instead of chasing moving markets.

2. Leveling the Playing Field and Trading News

Retail traders must overcome institutional advantages and avoid chasing public news releases.

Competing with Professionals

You compete against institutional professionals who hold massive advantages in capital, equipment, execution speed, and direct floor access. While you may operate with limited funds and basic tools, institutional players and floor traders have deep budgets, multiple monitors, quantitative backtesting desks, and direct lines to the floor. A retail trader trading crude oil contracts with a $5,000 account is up against floor traders with a $50,000 minimum, hedge funds with millions, or energy giants like Exxon. Online trading has revolutionized brokerage by lowering costs and giving you direct control. Beginners lack traditional broker supervision and face risks from technical errors and overtrading.

  • Make sure you have enough capital.
  • Get real-time quotes, charts, and news.
  • Use the Internet to your advantage.
  • Get a quick and reliable Internet connection.
  • Use free information on the Web.
  • Update charts by hand.
  • Take advantage of online trading.
  • Pay lower commissions.
  • Use system writing software.
  • Get a fast computer.
  • Stick to a traditional broker until comfortable with trading mechanics.
  • Learn all different types of orders before trading independently.
  • Avoid letting real-time access tempt you into constant overtrading.

Updating paper charts manually provides a tactile, hands-on feel for market dynamics that computer screens alone cannot replicate. You can purchase daily futures charts from CRB Futures Perspective about once a month and update them by hand alongside monthly charts.

Fading News Reactions

Anticipated economic announcements often cause markets to reverse upon release because the expectation has already been priced in.

You receive news after institutional players have already acted upon it, making news-chasing a hazardous endeavor. In the stock Rambus, the stock plummeted by $3 within 12 minutes before trading was halted. Official news was released that a patent infringement case was thrown out by a judge. This represented a 20 percent drop in Rambus stock on the day of the news announcement.

When a market fails to follow through in the expected direction after a major news release, you should fade the news and trade the market reaction. When monthly unemployment figures showed the biggest jump in claims in a decade, the Dow initially dropped 100 points. It failed to follow through lower by 10 a.m., ultimately rallying 148 points by day's end. On January 3, 2001, an unexpected Fed rate cut caused the S&P 500 to rally 70 points, whereas a subsequent expected rate cut on January 31 caused the market to sell off immediately.

  • Never chase a news-related spike.
  • Let the market settle down first and digest the news before acting.
  • Observe how the market reacts to news rather than focusing solely on the content of the news.
  • If it should go lower but doesn't, buy it.
  • If good news comes out and the stock or commodity fails to rally, short it.
  • Be flat before a scheduled news release to avoid gambling on direction.
  • Wait for the market to pick a clear direction and for noise to settle after a report before joining the move.
  • Ask yourself: If I had no position on, which side would I like to be on?
  • Do not fight the market trend based on fundamental opinions.
  • Get out of a position and reevaluate if charts do not confirm your thesis.

During the NASDAQ collapse in March 2000, many investors refused to sell overvalued tech stocks. They remained married to the fundamental opinion that the economy was booming, watching stocks fall from $188 down to $4 while holding due to fundamental belief.

3. Multiple Time Frames and Market Context

Looking at only one chart severely limits your view. You miss major trends and get trapped in ordinary pullbacks.

Using multiple time frames simultaneously eliminates noise and aligns entries with major market trends.

A seasoned oil trader friend used 4 computer monitors displaying 2-, 5-, 10-, 30-, 60-minute, daily, and weekly charts. This setup ensured a trade had confirmation across all time horizons before execution. You can organize your screens similarly:

  • Use daily or weekly charts to get an overall picture of the trend.
  • Use 60-minute charts to keep track of the market and monitor trades.
  • Use 1- and 5-minute charts for entry and exit timing.

The Big and Little Pictures

On a short-term 5-minute chart, a price drop can look like a strong sell signal. However, checking the daily and 60-minute charts reveals whether the stock is in a solid uptrend.

On Intel charts between November 8 and November 12, 2001, a 5-minute chart suggested a shorting opportunity around Point C during a sell-off. Daily and 60-minute charts showed the stock was in an uptrend with strong support. This made buying after a failed breakdown the high-probability play. Stock traders must analyze the broader market and sector direction before timing individual stock trades.

  • Use daily and 60-minute S&P 500 charts to get overall market direction.
  • Perform the same analysis for the specific sector to decide trading direction.
  • Use 5-minute charts of individual stocks to time trades.

Confirming and Scaling Trades

Lower time frames are too noisy for setting reliable stops. Set the monitoring time frame to be about 5 to 12 times higher than the entry time frame. Use the higher time frame to locate support, resistance, and stop placement once a trade is active.

On Microsoft charts, a 60-minute moving average crossover gave a major upside buy signal on November 2, 2001. This gave the green light to take only long signals on the 5-minute chart while using 5-minute downside crosses strictly as exit points.

  • Wait for a buy signal in the longer time frame chart.
  • Enter short-term trades in the direction of the long-term signal when generated on a shorter time frame.
  • Use counter-signals on the shorter time frame as exit points rather than reversal entries.
  • Put on a portion of a normal position when a signal appears on a shorter time frame.
  • Add to the position if the trade works and a signal triggers in the next higher time frame.
  • Add again if a signal occurs in an even higher time frame.
  • Study the specific behavior, run-up lengths, and wave durations of the traded market across different time frames.

4. Trading with the Trend and Indicators

Trading in the direction of the prevailing trend using trendlines, moving averages, and retracements maximizes success.

Fighting the trend means fighting overall market consensus and momentum. Uptrends consist of upwaves making higher highs with shallow countermoves. Downtrends consist of drops making lower lows. The path of least resistance is always with the major trend determined by daily, weekly, and monthly charts.

The author tried buying 30-year lows in hogs and grains during the summer of 1998, thinking prices could not go lower, only to watch them drop to 40-year lows.

  • Know what the trend is.
  • The best trades are made in the direction of the trend.
  • Use multiple time frames to get the overall picture of the market.
  • Don't chase the market.
  • Don't fight the market.

Trendlines and Moving Averages

Moving averages are lagging indicators that define trend direction and can be combined into multi-average systems to generate high-probability entries and exits. Moving averages replace old prices with new ones to show market direction. Shorter periods give quicker signals but cause whipsaws, while longer periods define trends better and reduce trade frequency. Multiple moving averages confirm trend strength when prices stay outside the band they form.

On a daily S&P 500 chart, 10-, 35-, and 200-day moving averages highlighted different aspects of trends, with the 200-day average acting as major resistance.

  • Assume that the main trendline or moving average will hold.
  • The smaller the slope of the trendline is, the more reliable it is.
  • Wait for the pullback.
  • Look for the end of a trend when the last wave doesn't reach the channel line or the previous move.
  • The longer the moving average is, the better it defines the trend.
  • Watch for bubbles between moving averages.
  • Buy when the close is above the 50-period average and the 10-period average is above both the 35- and the 50-period averages.
  • Sell when the close is below the 50-period average and the 10-period average is below both the 35- and the 50-period averages.

Fibonacci Retracements and ADX

Markets regularly retrace after extended moves, and Fibonacci levels serve as reliable magnet zones for pullbacks and trend resumption.

Retracements are driven by profit-taking and market overextensions. Standard retracement levels correspond to one-third, one-half, and two-thirds of the previous move, closely matching Fibonacci ratios. Retracements to 38.2 percent usually see trends resume, whereas breaking 61.8 percent signals that the major trend is over.

On a 5-minute EBAY chart, after a drop from Point A to Point B, the stock retraced to the 38.2 percent level, stalled temporarily, and later stopped dead at the 61.8 percent level.

  • Use ADX to determine the strength of the trend.
  • Hold trades longer in a strong trend.
  • Determine the direction of the trend first using charts or moving averages, then use ADX to measure its strength.
  • Know where the Fibonacci retracement levels are.
  • Place stops outside retracement levels.
  • Estimate how much the market can move by multiplying the major move by 1.382, 1.5, and 1.618 and adding or subtracting from extremes.

5. Using Oscillators and Divergences

Oscillators measure price momentum to time entries on pullbacks rather than catching falling knives.

Oscillators reflect the speed at which prices change by comparing closing prices over a specific lookback period. Moving averages travel infinitely with the market, whereas oscillators are bounded by a fixed range, such as 0 to 100 or oscillating around a zero line. When an oscillator hits its upper boundary, prices may continue higher while the indicator stops and stalls. This shows that momentum is slowing or the market is overbought. The 70 to 80 range functions as the overbought zone, while the 20 to 30 range forms the oversold zone. Oscillators work accurately because they function as a self-fulfilling prophecy based on shared market observation. When traders globally watch the same indicator and it reaches an oversold level, they cover shorts or buy. This creates a minor rally that turns the oscillator upward, drawing in more buyers.

Chart 7-1 displays 60-minute KLAC charts with multiple oscillators moving together and bottoming at Points A, B, C, and D, and peaking at E, F, and G. Oscillators are designed to confirm trends and assist with exits rather than catch market turns, helping traders avoid chasing overbought prices. In strong trends, oscillators can remain at extremes indefinitely. Buying simply because an indicator is overbought leads to false signals, whipsaws, and poor execution. Markets trend 20 percent of the time, while the average directional index threshold identifies choppy or range-bound markets.

Stochastics, RSI, and MACD

Slow stochastics measure a market's recent close relative to its price range over a specific lookback period using two lines, %K and %D. The %K line measures where the current close is in relation to the last five periods. %D is a three-period average of the smoothed %K line. The author uses standard canned parameters to stay aligned with the broader market. Stochastics utilize 14, 3, 3 parameters, 5 periods for low and range calculations, and 25 and 75 as overbought and oversold lines used by the author. The author notes discovering stochastics in the late 1980s on a CQG terminal in the crude oil pits when looking up a chart left by another trader.

The relative strength index measures price relative to itself over a fixed period to evaluate momentum, overbought conditions, and trend continuation using the 50 line. In strong markets, the relative strength index may not reach extreme levels and can instead pull back to the 50 line, which acts as support or resistance. Traders can also draw trendlines and identify chart patterns directly on the relative strength index indicator, utilizing 14 bars as the most common lookback period for it. Chart 7-4 illustrates 5-minute S&P 500 relative strength index ideas including double and triple tops in Example 4b.

Moving Average Convergence-Divergence uses exponentially weighted moving averages and a zero equilibrium line to track momentum relationships via a histogram. Moving Average Convergence-Divergence calculates the difference between a fast and slow exponential moving average, plotting a signal line and a histogram. A histogram above zero confirms bullish momentum equivalent to the Moving Average Convergence-Divergence line being above the signal line. Calculations incorporate a 9-period average for the signal line, a 12-period exponential moving average for short exponential moving average, and a 26-period exponential moving average for long exponential moving average. Chart 7-5 demonstrates 60-minute S&P 500 Moving Average Convergence-Divergence ideas including crossovers below the zero line and histogram peaks.

Divergence and Multiple Time Frames

Divergence between price action and momentum indicators provides some of the highest probability trade setups by signaling fading market momentum.

When prices make lower lows while stochastics or relative strength index make higher lows, or when individual stocks fail to follow broader market highs, it indicates loss of momentum and an impending trend change. Chart 7-7 shows divergences in BGEN where the stock price and indicator move in opposite directions, marking the end of sell-offs.

Combining oscillators across multiple time frames allows traders to align short-term entries with major market trends. A daily chart establishes the major trend, a 60-minute chart identifies pullbacks or overextension, and a 5-minute chart times exact entries and exits in the direction dictated by the higher time frames. Chart 7-9 illustrates a 5-minute KLAC chart corresponding to the area between Point A and Point Ax on Chart 7-8. This shows how waiting for the 5-minute stochastic to become oversold avoids a $2 pullback on the KLAC chart example.

Operational rules guide successful technical execution:

  • Buy when both lines are above the oversold level and rising.
  • Buy when the fast line (%K) crosses over the slow line (%D).
  • Be long when both lines are above the overbought area but not yet turning lower.
  • Buy when the indicator is strong and retests its extreme.
  • Look for a failed move in the stochastics where %K attempts to turn but stalls at the %D line.
  • Look for a divergence between price action and the indicator.
  • Buy when the relative strength index comes out of oversold territory above 30.
  • Buy when the relative strength index stalls at the 50 line during a pullback.
  • Buy when the relative strength index is above the 50 line to follow the upward trend.
  • Look for technical analysis patterns in the relative strength index such as trendlines, double tops, and triple tops.
  • Buy when the Moving Average Convergence-Divergence line is above the signal line.
  • Buy when the crossover occurs well below the zero line.
  • Buy when the moving averages cross above the zero line.
  • Look for technical analysis patterns in the histogram to catch turns early.
  • Trade in the direction of the major trend, buying when retracements are oversold.
  • Exit trades as the oscillator is peaking.
  • Stop chasing the market by refusing to enter when oscillators are at an extreme.
  • Wait for pullbacks to time trades better.
  • Look for standard divergence where market and indicator move in opposite directions, such as lower lows in price paired with higher lows in the indicator.
  • Look for flat price movement while the oscillator moves toward overbought territory as a short setup.
  • Look for lower lows in the indicator when the stock cannot break downward as a bounce signal.
  • Monitor stock-to-market divergence by checking if individual long positions fail to make new profits when the S&P makes higher highs.
  • Establish the major trend using a daily chart.
  • Use a 60-minute chart to evaluate remaining room, pullbacks, or overextensions.
  • Look at shorter time frames like 5-minute charts to find precise trade entries strictly in the direction of the higher time frame trend.

6. Breakouts, Reversals, and Systems

Breakout systems work well because they place you on the side of market momentum, leading to extended powerful moves.

Breakouts occur by breaking support or resistance levels, previous highs or lows of a set period, or trendlines. They happen due to pent-up energy from repeated testing, news events, or retracements where traders liquidate positions. Chart 8-1 illustrates MSFT breaking a previous low at Point A and trendlines at Points B and C.

The potential size of a breakout move from a congestion area can be measured using the width of the preceding range. When a market breaks out of a sideways trading range like a rectangle, triangle, flag, or pennant, the ensuing move travels about the same distance as the congestion width. Chart 8-2 shows KLAC staying in a 3-dollar range for 2 weeks before breaking out and stalling after traveling the distance of the congestion width.

Chasing breakouts after a strong initial move significantly increases risk, slippage, and the likelihood of being shaken out during a pullback. Chart 8-3 on the S&P 500 demonstrates how entering at Point 9 after a 10-point move increases risk compared to waiting for a test of the resistance line at Point 10. Volume analysis helps you distinguish high probability breakouts from false breakouts by revealing true market participation. Chart 8-6 on daily cotton shows that every breakout was preceded by a volume lull and accompanied by a surge in volume.

Applying buffers or filters helps you eliminate random noise and avoid false breakout signals. Chart 8-11 demonstrates how a 3-point buffer would have prevented shorting a false break below a trendline at Point A.

A trading system is a repeatable set of rules for buy and sell decisions that must include both entry signals and clear exit rules and stops.

Keeping systems simple prevents curve-fitting and over-customization to historical data. You should match any trading system to your personal risk tolerance and preferred holding times. Breakout systems require patience to endure false signals and whipsaws while you wait for major moves.

Implement the 30-Minute Breakout System using these exact steps:

  • Wait for the first 30 minutes of market open to determine the opening range high and low.
  • Take trades on the side of whichever way the market breaks out of that range.
  • Enter with a stop or wait for the first close of a 30-minute bar outside the range.
  • Exit if the current close is the lowest low of the day for a long position.

7. Exits, Stops, and Risk Management

Proper stop placement and capital preservation override technical entry strategies.

Traders spend too much time finding entry signals and neglect exit planning. This leads to catastrophic losses and missed profits. More than half of all trades will naturally be losers, so winners must be significantly larger to compensate.

You can use scaling out to lock in partial profits while keeping a portion of the position open for major moves. Trade in multiples of three contracts or 300 shares by following these exact steps:

  • Trade in multiples of three contracts or 300 shares.
  • Exit one-third of the position with a small profit on the first wave.
  • Cover the next third where you would normally exit a single contract.
  • Hold the final third to capture potential big moves.

Marcel Link shorted SUNW when it traded near $100. Other traders in the room pressured him to cover after he made 5 points, and spent 4 hours managing his position as it reached $7 and $8 profit. Link held the stock until just before the close, making over $10 per share.

Technical Stops and Volatility

Placing stops based on a fixed dollar amount rather than technical market structures leads to frequent, unnecessary losses. A client trading the E-mini S&P 500 refused to lose more than 2 or 3 points ($100 to $150) per trade. Because a 3-point move falls within a typical 10-minute range for the E-mini, he was stopped out on 80 percent of his trades, eventually burning through $5000 in six weeks.

You should calculate the proper position size using technical risk rather than a money management stop. Apply these specific practices:

  • Determine the maximum dollar amount you feel comfortable risking on a single trade as a percentage of total capital.
  • Examine higher time frame charts to locate the technically correct stop area and calculate the risk per contract.
  • Divide your total acceptable dollar risk by the per-contract risk to find the maximum allowable number of contracts.

Money Management and Expectancy

Money management is the single most important factor distinguishing winning traders from losing ones, overriding technical strategy. No money management technique can save a trading strategy that lacks a positive expectancy.

You must protect your capital and manage risk by following strict operational rules:

  • Take available trading capital and divide it in half or a comfortable percentage.
  • Keep the secondary half in an interest-bearing account as a safety net and do not trade with it.
  • Risk no more than a fixed percentage of capital on each trade.
  • Target a risk level of 5 percent or less, and ideally under 2 percent of total at-risk capital per trade.
  • Assess the risk of a trade before considering potential profits.
  • Determine how little you can lose before deciding how much you can make and how many contracts to trade.

8. Discipline, Overtrading, and Psychology

Patience, strict discipline, and avoidance of emotional overtrading dictate long-term market survival.

Discipline provides the necessary control to adhere to trading and money management plans across winning and losing streaks. Losses must be accepted as a normal cost of business without triggering aggressive revenge trading. Winning streaks should not lead to overconfidence and careless position sizing.

The Dangers of Overtrading

Overtrading drastically reduces your odds of success and accelerates losses due to heavy transaction costs. Every single trade incurs unavoidable commissions and variable slippage.

You must remember the costs of trading:

  • Remember the costs of trading.
  • Cut down on slippage.
  • Trade less.

The author observed a malnourished cat named Sophie that followed him home, spent fifteen minutes intensely stalking a small sparrow, and successfully captured it with a single leap. You should emulate this patient predator rather than chasing every market movement.

The Inner Mind and Journaling

Keeping written trading rules directly in front of your workstation helps prevent you from breaking them during losing streaks. You must treat trading as a disciplined business rather than an entertainment source.

When you lose control, follow these steps:

  • Stop trading when caught in a rut.
  • Take a walk and grab a soft drink.
  • Read the visible list of trading rules upon return.
  • Get out of any positions that violate the rules.

You should tackle personal weaknesses gradually by making a list and starting with the easiest flaw to correct. Building this mental control ensures you preserve your capital and sustain your career over the long term.

10 Key Ideas

  1. Adequate capitalization provides staying power and prevents the excessive risk-taking that causes small accounts to fail.
  2. Traders must prioritize risk limitation, mistake correction, and capital preservation over arbitrary monetary goals.
  3. Retail traders should fade the news and trade the market reaction when anticipated economic announcements cause unexpected reversals.
  4. Using multiple time frames simultaneously eliminates noise and aligns entries with major market trends.
  5. Trading in the direction of the prevailing trend using trendlines, moving averages, and retracements maximizes success.
  6. Divergence between price action and momentum indicators provides some of the highest probability trade setups by signaling fading market momentum.
  7. Breakout systems work well because they place you on the side of market momentum, leading to extended powerful moves.
  8. Placing stops based on a fixed dollar amount rather than technical market structures leads to frequent, unnecessary losses.
  9. No money management technique can save a trading strategy that lacks a positive expectancy.
  10. Patience, strict discipline, and avoidance of emotional overtrading dictate long-term market survival.

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