Based on Jack D. Schwager, Market Wizards: Interviews with Top Traders (1989)
Market Wizards is a collection of in-depth interviews with 16 of the top traders of the 1970s and 1980s. Schwager's goal was not to present a single trading system but to find the common threads that separate the best traders from everyone else. The book covers futures, equities, currencies, and options traders β systematic and discretionary, fundamental and technical.
The power of the book lies in the convergence: traders with wildly different methods all arrive at the same core principles around risk management, discipline, and psychological control.
| Trader | Primary Market | Style | Claim to Fame |
|---|---|---|---|
| Michael Marcus | Futures / Commodities | Discretionary, Trend | Turned $30,000 into $80,000,000 |
| Bruce Kovner | Forex / Futures / Macro | Macro-Fundamental + Technical | Founded Caxton Associates |
| Richard Dennis | Futures | Systematic Trend Following | The "Turtle" experiment; turned $400 into $200M+ |
| Paul Tudor Jones | Futures / Macro | Discretionary Technical + Macro | Called the 1987 crash; consistent 100%+ years |
| Gary Bielfeldt | Treasury Bond Futures | Discretionary | Became one of the largest T-Bond traders |
| Ed Seykota | Futures | Systematic Trend Following | One of the first computerized traders; ~250,000% return over 16 years |
| Larry Hite | Futures | Systematic Trend Following | Co-founded Mint Investment Management |
| Michael Steinhardt | Equities | Fundamental + Variant Perception | Averaged 30%+ annually for 20 years |
| William O'Neil | Equities | CAN SLIM / Techno-Fundamental | Founded Investor's Business Daily |
| David Ryan | Equities | CAN SLIM / Momentum | Three-time U.S. Investing Champion |
| Marty Schwartz | S&P Futures / Equities | Technical / Short-term | Won U.S. Trading Championship 9 times |
| Jim Rogers | Commodities / Global Macro | Fundamental | Co-founded Quantum Fund with Soros |
| Mark Weinstein | Equities / Options / Futures | Discretionary Technical | Extraordinarily high win rate |
| Brian Gelber | Treasury Bond Futures | Floor Trader / Discretionary | Major bond pit trader |
| Tom Baldwin | Treasury Bond Futures | Floor Trader / Scalper | Traded largest size in the bond pit |
| Tony Saliba | Options | Options Market Making + Directional | 70 consecutive profitable months |
Unlike a single-system book, Market Wizards provides a cross-validated set of principles. When Ed Seykota (systematic trend follower), Paul Tudor Jones (discretionary macro), and Michael Steinhardt (fundamental equity) all independently say the same thing about cutting losses, that principle carries far more weight than any single guru's recommendation.
These are the meta-lessons β principles that virtually every trader in the book either states explicitly or demonstrates implicitly.
| # | Principle | Mentioned By | Implementation |
|---|---|---|---|
| 1 | Cut losses short | ALL traders | Use hard stops; never hope a losing trade recovers |
| 2 | Let winners run | Seykota, Dennis, Jones, Kovner, Marcus | Trail stops; do not take profits prematurely out of fear |
| 3 | Risk a small fraction per trade | Hite (1%), Kovner (1-2%), Dennis (variable), Jones | Never risk more than 1-2% of equity on a single trade |
| 4 | Have an edge and know what it is | All systematic traders, Steinhardt | Articulate your edge before trading; test it |
| 5 | Discipline trumps intelligence | Schwartz, Seykota, Dennis, Kovner | Follow your rules mechanically; the system is the edge |
| 6 | Adapt or die | Rogers, Kovner, Jones | Markets change; the ability to evolve is itself an edge |
| 7 | Emotional control is everything | ALL traders | Trading is 80% psychological; the best system fails without discipline |
Every Market Wizard, regardless of style, agrees on one thing: risk management is more important than the entry signal. You can have a mediocre entry method and still make money with superb risk management. The reverse is never true.
Style: Computerized systematic trend following, one of the earliest to use computers for trading (mid-1970s).
| Rule | Specification |
|---|---|
| Trend identification | Long-term moving averages (Seykota used proprietary EMA-based signals) |
| Entry | Buy breakouts in the direction of the long-term trend |
| Exit (losing) | Predefined stop-loss placed at entry; typically volatility-based |
| Exit (winning) | Trail stop; never exit a winning position unless the trend reverses |
| Risk per trade | Small enough that a string of 10 losses does not cripple the account |
| Portfolio | Diversified across uncorrelated commodity markets |
| Reentry | If stopped out but trend resumes, re-enter |
Trading Results = f(Market Knowledge, Method, Psychology)
Where Psychology accounts for ~60% of the result
Method accounts for ~30%
Market Knowledge accounts for ~10%
PARAMETERS:
long_trend_ema = 150-day to 200-day EMA
medium_trend_ema = 40-day to 50-day EMA
atr_period = 20 days
risk_per_trade = 0.5% to 1.0% of account equity
ENTRY:
IF price > long_trend_ema (uptrend confirmed)
AND price crosses above medium_trend_ema
AND breakout above recent consolidation high
THEN go LONG
EXIT (stop-loss):
stop = entry_price - (2.0 * ATR)
EXIT (trailing):
trail_stop = highest_close_since_entry - (3.0 * ATR)
IF price < trail_stop THEN exit
POSITION SIZE:
risk_amount = account_equity * risk_per_trade
position_size = risk_amount / (entry_price - stop_price)
Style: Systematic breakout-based trend following. Dennis proved that trading could be taught by training the "Turtle Traders."
Entry Rules:
| System | Signal | Details |
|---|---|---|
| System 1 (short-term) | 20-day breakout | Buy when price exceeds the highest high of the last 20 days |
| System 2 (long-term) | 55-day breakout | Buy when price exceeds the highest high of the last 55 days |
Exit Rules:
| System | Signal | Details |
|---|---|---|
| System 1 | 10-day low breakout | Sell when price falls below the lowest low of the last 10 days |
| System 2 | 20-day low breakout | Sell when price falls below the lowest low of the last 20 days |
Position Sizing (N-based):
N = 20-day exponential moving average of True Range (ATR)
Unit size = (1% of account equity) / (N * dollars_per_point)
Maximum units per market: 4
Maximum units per direction: 12 (across correlated markets)
Maximum total units: 24
Pyramiding:
Add 1 unit for every 0.5 * N move in the trader's favor:
Entry: price = breakout_level
Add unit 2: price = entry + 0.5N
Add unit 3: price = entry + 1.0N
Add unit 4: price = entry + 1.5N
Stop for each unit: 2N below entry price of that unit
Filter:
Style: Purely systematic trend following across diversified futures markets. Co-founded Mint Investment Management, one of the first large-scale managed futures firms.
| Rule | Specification |
|---|---|
| Max risk per trade | 1% of total equity β ABSOLUTE MAXIMUM |
| Trend signal | Moving average crossover (exact parameters proprietary, likely 40/100 or similar) |
| Market selection | Trade all liquid futures markets; do not try to predict which will trend |
| Diversification | Spread across 40+ markets in commodities, currencies, rates, indices |
| Stop-loss | Always placed at entry; size determined by 1% risk rule |
| Correlation filter | Reduce size in highly correlated markets to avoid concentration |
| Max portfolio heat | Total open risk across all positions capped (implied ~10-15% of equity) |
FOR each market in universe:
trend_direction = sign(fast_MA - slow_MA)
IF trend_direction changes from negative to positive:
signal = LONG
IF trend_direction changes from positive to negative:
signal = SHORT
stop_distance = max(ATR-based stop, minimum_tick_distance)
risk_per_unit = stop_distance * dollars_per_point
max_risk_dollars = account_equity * 0.01
position_size = floor(max_risk_dollars / risk_per_unit)
IF position_size >= 1:
ENTER position with stop
ELSE:
SKIP (market too volatile for current account size)
Hite emphasized that any individual trade is essentially a coin flip with a slight edge. The 1% rule ensures that even a string of 20 consecutive losses (which will happen eventually) only costs 20% of equity β painful but survivable.
Style: Short-term technical trading in S&P 500 futures and equities. Nine-time winner of the U.S. Trading Championship.
| Rule | Specification |
|---|---|
| Bull/Bear filter | Price above 10-day EMA = bullish; below = bearish |
| Timing | MACD crossover for entry timing within the trend |
| Loss limit | Daily loss limit; stop trading if hit |
| Session tracking | Track P&L every single day in a spreadsheet |
| Size management | Increase size during winning streaks; decrease during losing streaks |
| Earnings avoidance | Reduce or eliminate positions ahead of major news/earnings |
PARAMETERS:
ema_period = 10
macd_fast = 12
macd_slow = 26
macd_sig = 9
DAILY:
ema_10 = EMA(close, 10)
macd_line = EMA(close, 12) - EMA(close, 26)
signal_line = EMA(macd_line, 9)
macd_histogram = macd_line - signal_line
TREND FILTER:
IF close > ema_10: regime = BULLISH
IF close < ema_10: regime = BEARISH
ENTRY (long):
IF regime == BULLISH
AND macd_histogram crosses from negative to positive
THEN buy
ENTRY (short):
IF regime == BEARISH
AND macd_histogram crosses from positive to negative
THEN sell short
EXIT:
IF regime flips (price crosses EMA) THEN exit
OR if daily loss limit reached THEN flatten all positions
DAILY P&L DISCIPLINE:
record(date, gross_pnl, net_pnl, num_trades, largest_loss)
IF daily_loss > max_daily_loss_limit:
STOP trading for the day
IF weekly_loss > max_weekly_loss_limit:
REDUCE position size by 50% next week
Schwartz lost money for nine years using fundamental analysis. He became profitable almost immediately after switching to technical analysis and strict risk management. The lesson: the method must match the trader's personality.
Style: Extremely short-term discretionary trading with an unusually high win rate. Traded equities, futures, and options.
| Rule | Specification |
|---|---|
| Preparation | 2-4 hours of chart analysis before the open; no trades without preparation |
| Overbought/Oversold | Uses stochastics and RSI to identify extreme readings |
| Fading extremes | Buy oversold in uptrends; sell overbought in downtrends |
| Risk management | Very tight stops; exits immediately if the trade does not work right away |
| Conviction scaling | Larger size only when multiple indicators align |
| No forcing | If nothing sets up cleanly, do not trade |
PRE-MARKET (2-4 hours before open):
1. Review all positions β are the reasons still valid?
2. Scan for stocks at stochastic/RSI extremes
3. Check sector rotation patterns
4. Identify support/resistance levels on daily & weekly charts
5. Note key news, earnings, economic releases
6. Determine: am I mentally sharp today?
IF NOT: do not trade or reduce size dramatically
DURING SESSION:
7. Enter only when setup matches pre-market plan
8. Place stop immediately upon entry
9. If trade does not move in your favor within expected timeframe:
EXIT regardless of stop β "time stop"
If a trade does not begin to work almost immediately, something is wrong. Weinstein would exit positions that simply sat there doing nothing, even if his stop was not hit. This "time stop" is one of the most underused risk management tools.
Style: Macro-discretionary with heavy emphasis on technical analysis for timing. Known for calling the 1987 crash.
| Rule | Specification |
|---|---|
| 200-day MA rule | If price is below the 200-day MA, the bias is short or flat; if above, long or flat |
| Reward:Risk minimum | Never take a trade with less than 2:1 reward-to-risk ratio |
| Ideal R:R | Seek 5:1 setups; these are the career-making trades |
| Never average down | "Losers average losers" β if losing, reduce, never add |
| Monthly reset | If down more than a few percent in a month, reduce size or stop trading |
| Elliott Wave | Uses Elliott Wave analysis as one input (not sole driver) |
| Historical analogy | Compares current price patterns to historical precedents |
MACRO VIEW:
1. Determine macro trend: expansion, contraction, inflection
2. Identify which asset classes benefit from current regime
3. Look for extreme consensus (crowded trades to fade)
TECHNICAL TIMING:
4. Is price above or below 200-day MA?
ABOVE β look for longs or stay flat
BELOW β look for shorts or stay flat
5. Identify specific entry:
- Support/resistance levels
- Elliott Wave counts
- Historical price analogs
- Sentiment extremes
6. Calculate reward:risk:
reward = distance to target
risk = distance to stop
ratio = reward / risk
IF ratio < 2.0: PASS β do not take the trade
IF ratio >= 5.0: MAXIMUM SIZE
POSITION MANAGEMENT:
7. IF position moves against you:
REDUCE β never add to losers
8. IF position moves in your favor:
May add (pyramid) but move stops up to breakeven first
9. IF monthly P&L < -3%:
CUT all position sizes in half until confidence returns
Jones's primary focus is on defense. He spends far more time thinking about what could go wrong than what could go right. His 200-day MA rule alone would have kept traders out of every major bear market in the 20th century.
Style: Long-term fundamental/macro investing. Co-founded the Quantum Fund with George Soros.
| Rule | Specification |
|---|---|
| Independent research | Never rely on Wall Street research; do your own analysis |
| Patience | Wait months or years for the right setup; do nothing in the meantime |
| Fat pitch | Only trade when the opportunity is so obvious it is like "picking up money" |
| Contrarian | Buy when markets are at multi-year lows and everyone is bearish |
| Sell hysteria | When a market is in a euphoric mania, look for shorts |
| Know the fundamentals | Understand supply/demand, balance sheets, macro cycles deeply |
| Long holding period | Hold for years if the fundamental thesis is intact |
OPPORTUNITY IDENTIFICATION:
1. Scan for markets at multi-year or all-time lows
2. Look for negative consensus: "everyone knows" it's a bad investment
3. Check: is the negative consensus ALREADY PRICED IN?
FUNDAMENTAL DEEP DIVE:
4. Study the supply/demand fundamentals:
- Supply: Is production being cut? Are suppliers going bankrupt?
- Demand: Is there a floor under demand? Is demand growing?
5. Study government policy: regulations, subsidies, trade barriers
6. Visit the country/industry physically if possible
7. Read everything: annual reports, trade journals, government data
ENTRY:
8. Wait for a CATALYST or early signs of fundamental turn
9. Enter gradually β build position over weeks or months
10. There is NO URGENCY β the big move takes years
EXIT:
11. When the fundamental thesis is broken (supply responds, demand falls)
12. When euphoria replaces despair β "everyone knows" it's a great investment
13. When taxi drivers give you tips on the market
Style: Fundamental equity trading with a focus on "variant perception." Averaged 30%+ annually over two decades.
| Rule | Specification |
|---|---|
| Variant perception | Identify situations where your informed view differs materially from consensus |
| Catalyst identification | Determine what event will cause the market to re-price the asset |
| Time horizon | Intermediate-term: weeks to months, not minutes or decades |
| Conviction sizing | Size proportional to conviction level; biggest positions for highest-conviction ideas |
| Flexibility | If the thesis is wrong, exit immediately β no loyalty to positions |
| Information edge | Talk to management, competitors, suppliers, customers |
STEP 1: IDENTIFY CONSENSUS
- What does the market believe about this stock/sector/macro theme?
- What are analysts saying? What is priced into the current valuation?
STEP 2: DEVELOP VARIANT VIEW
- Through independent research, do you see something the market is missing?
- Is there a fundamental change that has not yet been recognized?
- Example: Market believes earnings will decline. You believe a new product
will cause earnings to accelerate. This is variant perception.
STEP 3: VALIDATE
- Is your variant view based on better information or better analysis?
- Could you be wrong? What would disprove your thesis?
- Calculate the expected value:
EV = (probability_right * upside) - (probability_wrong * downside)
IF EV is not strongly positive: PASS
STEP 4: IDENTIFY CATALYST
- What specific event will cause the market to reprice?
- Earnings report? FDA approval? Management change? Macro data?
- Time your entry so the catalyst is within your holding period
STEP 5: SIZE AND ENTER
- Highest conviction = largest position (up to 10-15% of portfolio)
- Moderate conviction = moderate position (3-5%)
- Low conviction but positive EV = small position (1-2%)
STEP 6: MONITOR AND EXIT
- If catalyst occurs and market re-prices: take profits
- If thesis is disproved: exit immediately, regardless of loss
- If catalyst is delayed but thesis intact: hold but reduce size
Style: Global macro trading across currencies, commodities, and interest rates. Founded Caxton Associates.
| Rule | Specification |
|---|---|
| Stop before entry | Determine your stop-loss point before you enter; if you cannot define it, do not trade |
| Risk per trade | 1-2% of equity maximum |
| Volatility-based sizing | Adjust position size inversely to market volatility |
| Fundamental + Technical | Use fundamentals to determine direction; use technicals to time entry and exit |
| Macro framework | Understand interest rates, monetary policy, trade flows, political risk |
| Reduce on confusion | If you do not understand why a market is moving, reduce position size immediately |
| Psychological awareness | Know your emotional state; do not trade when stressed or exhausted |
1. MACRO THESIS:
"Based on monetary policy divergence, the dollar should weaken
against the yen over the next 3-6 months."
2. TECHNICAL CONFIRMATION:
- Is USD/JPY below key moving averages?
- Is the price making lower highs and lower lows?
- Are there breakdowns below support?
IF technical picture contradicts fundamental view: WAIT
3. RISK DEFINITION:
stop_level = nearest technical resistance above current price
risk_per_unit = abs(entry_price - stop_level)
max_risk = account_equity * 0.015 (1.5%)
position_size = max_risk / risk_per_unit
4. ENTRY:
Enter on a technical trigger (breakdown below support, failed rally, etc.)
Place stop immediately
5. MANAGEMENT:
- If trade works: trail stop using technical levels
- If macro thesis changes: exit regardless of P&L
- If confused by price action: REDUCE immediately
6. ADDING TO WINNERS:
- Only add if trade is profitable
- Move stop to breakeven before adding
- Each add is smaller than the initial position
"Novice traders trade too big. They take 5-10% risk on a single trade, and then one bad trade knocks them out of the game. The key is to keep your risk small enough that you can survive a prolonged losing streak. You have to be able to come back tomorrow."
This is the #1 theme of the entire book. Every trader, regardless of style, emphasizes risk management above all else.
| Rule | Who Says It | Implementation |
|---|---|---|
| Always use stops | Kovner, Hite, Dennis, Seykota, Jones | Place stop-loss order at time of entry; no exceptions |
| Define risk before entry | Kovner, Jones, Hite | Calculate exact dollar risk before placing the trade |
| 1-2% max risk per trade | Hite (1%), Kovner (1-2%), Dennis (variable) | risk = account_equity * 0.01 or 0.02 |
| Never average down | Jones, Dennis, Kovner, Marcus | If a trade is losing, either hold or reduce β NEVER add |
| Reduce during drawdowns | Jones, Schwartz, Marcus | Cut position size in half after a losing month |
| Limit correlated risk | Dennis (Turtles), Hite | Do not take multiple positions in correlated markets at full size |
| Preserve capital | ALL traders | Capital is the raw material; without it you cannot trade |
| Daily/weekly loss limits | Schwartz | Stop trading when you hit a pre-set loss limit |
| Cut quickly | Weinstein, Schwartz, Seykota | If a trade is not working, exit fast β do not wait for the stop |
LEVEL 1: Per-Trade Risk
Maximum loss on any single trade = 1-2% of equity
LEVEL 2: Per-Sector Risk
Maximum exposure in correlated positions = 4-6% of equity
LEVEL 3: Portfolio Heat
Maximum total open risk across all positions = 10-20% of equity
LEVEL 4: Drawdown Circuit Breaker
IF account draws down 10% from peak:
Reduce all position sizes by 50%
IF account draws down 20% from peak:
Stop trading; review everything
LEVEL 5: Monthly Reset
IF monthly loss > 5%:
Take a break or trade minimum size
Review journal and identify what went wrong
Why the 1% rule matters β probability of ruin calculations:
| Risk Per Trade | Win Rate | Probability of Ruin (50 trades) |
|---|---|---|
| 1% | 40% | ~0% |
| 2% | 40% | ~2% |
| 5% | 40% | ~25% |
| 10% | 40% | ~60% |
| 25% | 40% | ~95% |
The Wizards universally agree: survive first, profit second. A trader who risks 1% per trade can survive almost any losing streak. A trader who risks 10% per trade is one bad week away from ruin.
| Method | Used By | Formula |
|---|---|---|
| Fixed Fractional | Hite, Kovner | size = (equity * risk_pct) / (entry - stop) |
| Volatility-Based (ATR) | Dennis/Turtles, Seykota | size = (equity * risk_pct) / (ATR * multiplier * point_value) |
| Conviction-Based | Steinhardt, Jones | Base size * conviction_multiplier (1x to 5x) |
| Kelly Criterion (Implicit) | Seykota | f* = (bp - q) / b where b=payoff, p=win prob, q=loss prob |
| Reduce on Loss | Jones, Schwartz | Cut size by 25-50% after a losing month |
INPUTS:
account_equity = current account value
entry_price = planned entry price
stop_price = planned stop-loss price
base_risk_pct = 0.01 (1% default)
conviction = 1.0 to 3.0 (subjective confidence level)
recent_perf = rolling 20-trade P&L as % of equity
correlation_adj = 0.5 to 1.0 (reduce if correlated positions exist)
CALCULATION:
risk_per_unit = abs(entry_price - stop_price) * dollars_per_point
# Base size from fixed fractional method
base_size = (account_equity * base_risk_pct) / risk_per_unit
# Conviction adjustment (Steinhardt/Jones approach)
conviction_size = base_size * min(conviction, 3.0)
# Performance adjustment (Jones/Schwartz approach)
IF recent_perf < -5%:
perf_multiplier = 0.50
ELIF recent_perf < -2%:
perf_multiplier = 0.75
ELSE:
perf_multiplier = 1.00
# Correlation adjustment (Dennis/Hite approach)
adjusted_size = conviction_size * perf_multiplier * correlation_adj
# Final size (round down to whole units)
final_size = floor(adjusted_size)
# Sanity check: max risk per trade never exceeds 2%
actual_risk = final_size * risk_per_unit
IF actual_risk > account_equity * 0.02:
final_size = floor((account_equity * 0.02) / risk_per_unit)
| Principle | Source | Explanation |
|---|---|---|
| Fear is more useful than greed | Jones, Weinstein | Fear keeps you defensive; greed makes you reckless |
| The ego is the enemy | Schwartz, Kovner, Seykota | Needing to be "right" causes you to hold losers |
| Losing is part of winning | Dennis, Hite, Seykota | Accept that 50-60% of trades will lose; this is normal |
| Revenge trading is fatal | Schwartz, Marcus | After a loss, the impulse to "get it back" leads to disaster |
| Boredom kills | Weinstein, Rogers | Forcing trades when there is no setup leads to losses |
| Confidence comes from preparation | Weinstein, Jones | Thorough preparation creates the calm needed for good execution |
| Know yourself | Seykota, Kovner | Your trading system must match your personality |
Ed Seykota was the most explicit about trading psychology. His framework:
1. EVERYONE GETS WHAT THEY WANT FROM THE MARKET
- If you keep losing, some part of you wants the drama of losing
- Profitable trading is boring; many traders secretly prefer excitement
2. WIN OR LOSE, EVERYBODY GETS WHAT THEY WANT
- Some traders trade for excitement, not profits
- Align your conscious goals with your unconscious motivations
3. THE MARKETS ARE AN EXPENSIVE PLACE TO LOOK FOR EXCITEMENT
- If you want excitement, go to the movies
- If you want profits, follow your system mechanically
4. THE FEELING OF WANTING TO "BE RIGHT" IS THE #1 ACCOUNT KILLER
- A trader who can be wrong 60% of the time and still make money
is far better off than one who is right 80% but holds losers
BEFORE TRADING:
[ ] Am I well-rested and mentally sharp? (Weinstein)
[ ] Have I done my preparation/homework? (Weinstein, Jones)
[ ] Am I trading my plan or trading my emotions? (Seykota)
[ ] Am I trying to "get back" yesterday's losses? (Schwartz)
IF YES β reduce size or do not trade
DURING TRADING:
[ ] Is this trade in my plan? Or am I forcing it? (Rogers)
[ ] Am I adding to losers? STOP. (Jones)
[ ] Am I cutting winners short out of fear? (Seykota, Dennis)
[ ] Have I hit my daily loss limit? IF YES β stop trading (Schwartz)
AFTER TRADING:
[ ] Record all trades, P&L, and emotional state (Schwartz)
[ ] Review: did I follow my rules? (All Wizards)
[ ] If I broke a rule, WHY? Address the root cause (Seykota)
| Entry Type | Used By | Setup |
|---|---|---|
| Breakout | Dennis, Seykota, O'Neil, Ryan | Price exceeds N-day high on increased volume |
| Moving average crossover | Seykota, Hite, Schwartz | Fast MA crosses above slow MA |
| Price above 200-day MA | Jones, Schwartz (10-day) | Long-only when above the key MA; short-only below |
| Pullback to support in uptrend | Weinstein, Jones | Buy at support within a clear uptrend |
| Extreme sentiment | Rogers, Jones, Kovner | Buy when bearish consensus is extreme |
| Variant perception | Steinhardt | Enter when your informed view differs from market consensus |
| Fundamental catalyst | Steinhardt, Rogers | Enter ahead of an identifiable repricing event |
| Overbought/Oversold | Weinstein | Use stochastics/RSI at extremes for counter-trend entries within a trend |
Before any entry, every Wizard implicitly or explicitly confirms:
1. TREND: Is the overall trend in my favor? (Or am I fading it with clear reason?)
2. RISK: Have I defined my stop-loss and calculated position size?
3. REWARD:RISK: Is the R:R at least 2:1? (Jones: preferably 5:1)
4. CATALYST: What will make this move? (Time-based or event-based)
5. TIMING: Is the entry signal confirmed? (Do not front-run the signal)
6. SIZE: Am I trading the right size for my conviction and account?
7. CORRELATION: Am I already exposed to the same risk through other positions?
IF any answer is unsatisfactory β DO NOT ENTER
PARAMETERS:
breakout_period = 20 (Dennis System 1) or 55 (System 2)
trend_ma = 200 (Jones) or 150 (Seykota)
fast_ema = 10 (Schwartz)
atr_period = 20
LONG ENTRY SIGNAL:
condition_1 = close > SMA(close, trend_ma) # long-term uptrend
condition_2 = close > highest(high, breakout_period) # breakout
condition_3 = close > EMA(close, fast_ema) # short-term bullish
condition_4 = volume > SMA(volume, 20) * 1.5 # volume confirmation
IF condition_1 AND condition_2 AND (condition_3 OR condition_4):
ENTER LONG
SHORT ENTRY SIGNAL:
condition_1 = close < SMA(close, trend_ma)
condition_2 = close < lowest(low, breakout_period)
condition_3 = close < EMA(close, fast_ema)
IF condition_1 AND condition_2 AND condition_3:
ENTER SHORT
| Exit Type | Used By | Implementation |
|---|---|---|
| Hard stop-loss | ALL traders | Fixed price level or ATR-based; placed at entry time |
| Trailing stop | Seykota, Dennis, Hite | Moves in trader's favor; never moves against |
| Time stop | Weinstein | If no movement within expected timeframe, exit |
| Target exit | Jones (partial) | Take partial profits at predetermined reward level |
| Regime change | Jones (200-day MA), Schwartz (10-day EMA) | Exit when major trend indicator flips |
| Thesis invalidation | Steinhardt, Kovner, Rogers | Exit when the reason for the trade no longer exists |
| Daily loss limit | Schwartz | Close everything if daily loss limit is hit |
| Confusion exit | Kovner | Reduce or exit if you cannot explain why the market is moving |
FOR each open position:
# STOP-LOSS (hard floor β non-negotiable)
IF current_price <= stop_price:
EXIT immediately at market
REASON: "stop hit"
# TRAILING STOP (protect profits)
IF position is profitable:
new_trail = highest_close_since_entry - (2.5 * ATR)
trail_stop = max(trail_stop, new_trail) # only ratchets up
IF current_price <= trail_stop:
EXIT
REASON: "trailing stop hit"
# TIME STOP (Weinstein principle)
IF days_in_trade > max_expected_holding_period:
AND unrealized_pnl is approximately zero:
EXIT
REASON: "time stop β trade not working"
# REGIME CHANGE (Jones/Schwartz principle)
IF close crosses below 200-day MA (for longs):
EXIT all longs
REASON: "regime change β bull trend over"
# THESIS INVALIDATION (Steinhardt/Kovner)
IF the fundamental reason for the trade has changed:
EXIT regardless of P&L
REASON: "thesis no longer valid"
# CONFUSION EXIT (Kovner)
IF market is behaving in a way you cannot explain:
REDUCE position by 50%
REASON: "reducing β cannot explain price action"
# DAILY LOSS LIMIT (Schwartz)
IF total_daily_pnl < daily_loss_limit:
EXIT all positions
REASON: "daily loss limit reached β done for the day"
| # | Mistake | Who Warns Against It | Consequence |
|---|---|---|---|
| 1 | Averaging down on losers | Jones, Dennis, Kovner | "Losers average losers" β turns small loss into catastrophe |
| 2 | Trading too large | Kovner, Hite, Dennis | One bad trade destroys the account |
| 3 | No stop-loss | ALL traders | Unlimited downside; hope replaces discipline |
| 4 | Trading to be right | Seykota, Schwartz | Ego prevents cutting losses |
| 5 | Revenge trading | Schwartz, Marcus | Emotional trading after a loss; doubles the damage |
| 6 | Overtrading | Rogers, Weinstein | Trading for action, not for edge; commission drag |
| 7 | Ignoring risk management | ALL traders | Focus on entry while ignoring the exit plan |
| 8 | Fighting the trend | Seykota, Dennis, Jones | Trying to pick tops and bottoms |
| 9 | Not doing homework | Weinstein, Rogers, Steinhardt | Entering trades based on tips or feelings |
| 10 | Letting winners become losers | Seykota, Dennis | Failing to trail stops; giving back all gains |
| 11 | Following the crowd | Rogers, Steinhardt | Buying at the top because "everyone is doing it" |
| 12 | Not matching system to personality | Seykota, Schwartz | Using a style that does not fit who you are |
| 13 | Changing systems during drawdown | Dennis, Hite | Abandoning a valid system during a normal losing streak |
| 14 | Trading when impaired | Weinstein, Marcus | Fatigue, stress, illness all impair judgment |
1. NEVER commit more than 5% of your capital to any single trade
2. ALWAYS know where you are getting out before you get in
3. IF you are on a losing streak, REDUCE SIZE β do not increase it
"Every trader has strengths and weaknesses. Some are good holders of winners but may hold their losers a little too long. Others may cut their losses a bit too soon but also tend to get out of their winners too quickly. As long as you stick to your own style, you get the good and bad in your own approach."
"Michael Marcus taught me one thing that was incredibly important. He taught me that you could make a million dollars. He showed me that if you applied yourself, great things could happen. It is very easy to miss the point that you really can do it."
"Whenever I enter a position, I have a predetermined stop. That is the only way I can sleep. I know where I'm getting out before I get in."
"I always say that you could publish my trading rules in the newspaper and no one would follow them. The key is consistency and discipline."
"When you have a destabilizing loss, get out, go home, take a nap, do something, but put the trade behind you."
"Don't be a hero. Don't have an ego. Always question yourself and your ability. Don't ever feel that you are very good. The second you do, you are dead."
"Losers average losers."
"The most important rule of trading is to play great defense, not great offense."
"The elements of good trading are: (1) cutting losses, (2) cutting losses, and (3) cutting losses. If you can follow these three rules, you may have a chance."
"Win or lose, everybody gets what they want out of the market. Some people seem to like to lose, so they win by losing money."
"The trend is your friend except at the end where it bends."
"Throughout my financial career, I have continually witnessed examples of other people that I have known being ruined by a failure to respect risk. If you don't take a keen interest in risk, it will take a keen interest in you."
"I have two basic rules about winning in trading as well as in life: (1) If you don't bet, you can't win. (2) If you lose all your chips, you can't bet."
"I always laugh at people who say, 'I've never met a rich technician.' I love that! It's such an arrogant, nonsensical response. I used fundamentals for nine years and got rich as a technician."
"Learn to take losses. The most important thing in making money is not letting your losses get out of hand."
"The hardest thing over the years has been having the courage to go against the dominant wisdom of the time, to have a view that is at variance with the present consensus and bet that view."
"I defined variant perception as holding a well-reasoned view that was meaningfully different from the market consensus."
"I just wait until there is money lying in the corner, and all I have to do is go over there and pick it up. I do nothing in the meantime."
"One of the best rules anybody can learn about investing is to do nothing, absolutely nothing, unless there is something to do."
"I always take my losses quickly. That is probably the key to my success. You can always put the trade back on, but if you go flat, you can see things more objectively."
"If you don't feel confident about what you are doing, do nothing. I don't trade unless I feel that the odds are strongly in my favor."
| Trader | Style | Markets | Key Rule | Biggest Lesson | Risk Method |
|---|---|---|---|---|---|
| Michael Marcus | Discretionary Trend | Commodities / Futures | Hold winners, cut losers early | Confidence in yourself is essential; mentors matter | Reduce size in drawdowns |
| Bruce Kovner | Macro + Technical | FX / Futures / Rates | Define stop before entry; always | Risk management is #1; trade small | 1-2% risk per trade; volatility-adjusted |
| Richard Dennis | Systematic Trend | Futures | Follow the system β every signal | Discipline is everything; trading can be taught | N-based (ATR) sizing; max 4 units/market |
| Paul Tudor Jones | Discretionary Macro | Futures / Macro | 200-day MA filter; never average down | Defense wins; losers average losers | 2:1 min R:R; reduce in drawdowns |
| Gary Bielfeldt | Discretionary | T-Bonds | Only increase size gradually | Patience in scaling up; don't overleverage early | Conservative sizing; build over time |
| Ed Seykota | Systematic Trend | Commodities | Cut losses, cut losses, cut losses | Psychology is 60% of the game | Small % risk; ride winners |
| Larry Hite | Systematic Trend | Diversified Futures | Never risk more than 1% per trade | Survival is the prerequisite for success | 1% max per trade; always use stops |
| Michael Steinhardt | Variant Perception | Equities | Find where your view differs from consensus | Courage to be contrarian with conviction | Conviction-based sizing |
| William O'Neil | CAN SLIM | Equities | Buy leaders in new uptrends; cut losses at 7-8% | Most stocks follow the market; buy the best | Max 7-8% loss rule |
| David Ryan | CAN SLIM / Momentum | Equities | Focus on earnings acceleration + price strength | The best stocks share common characteristics | Tight stops; concentrate in best ideas |
| Marty Schwartz | Technical Short-Term | S&P Futures / Equities | 10-day EMA as bull/bear filter | Switching to technicals transformed profitability | Daily P&L limits; reduce on losing streaks |
| Jim Rogers | Fundamental Long-Term | Commodities / Global | Wait for the fat pitch; do your own research | Patience is the most underrated trading skill | Wait for asymmetric opportunities |
| Mark Weinstein | Discretionary Technical | Equities / Options / Futures | Exhaustive preparation; never trade unprepared | If a trade is not working immediately, exit | Very tight stops; time stops |
| Brian Gelber | Floor Trader | T-Bonds | Understand order flow | Adapt to changing market structure | Floor trader instinct; quick exits |
| Tom Baldwin | Floor Scalper | T-Bonds | Trade within your comfort zone | Size must match your ability to manage it | Scale into positions; immediate exits on pain |
| Tony Saliba | Options | Options | Limit downside; structure positions for defined risk | Consistency beats home runs | Defined-risk options structures |
SYSTEMATIC ββββββββββββββββββββββββΊ DISCRETIONARY
β β
TREND Seykota βββ Dennis βββ Hite Jones βββ Marcus
FOLLOWING β β
β β
β β
TECHNICAL β Schwartz ββ Weinstein
β β
β β
FUNDAMENTAL β Steinhardt ββ Rogers
/ MACRO β β
β β
FLOOR / β Gelber ββ Baldwin
SCALPING β β
β β
OPTIONS β Saliba
The principles in Market Wizards are expanded in Schwager's subsequent books:
| Book | Year | Focus |
|---|---|---|
| The New Market Wizards | 1992 | Second generation of top traders |
| Stock Market Wizards | 2001 | Equity-focused traders |
| Hedge Fund Market Wizards | 2012 | Hedge fund managers |
| The Little Book of Market Wizards | 2014 | Distilled principles from all interviews |
| Unknown Market Wizards | 2020 | Unknown but highly successful traders |
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β 1. CUT YOUR LOSSES SHORT β
β Every single trader says this. No exceptions. β
β β
β 2. HAVE DISCIPLINE TO FOLLOW YOUR METHOD β
β The method matters less than the discipline to β
β execute it consistently, trade after trade. β
β β
β 3. RISK MANAGEMENT IS THE WHOLE GAME β
β Entry signals are overrated. Position sizing, β
β stops, and portfolio heat management are what β
β separate the Wizards from everyone else. β
β β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
This specification synthesizes the trading wisdom of 16 top traders as documented by Jack D. Schwager in Market Wizards (1989). All rules, quotes, and frameworks are derived from the interviews in the original text. Individual implementation details have been reconstructed to make the principles actionable.