Trading Mentors

Trading Instruments · Educational Tools

Calculators, grounded in the books.

Three tools built from real trading-book fundamentals. Not investment advice; every number here is yours to set.

Strategy expectancy comparison

Four real strategy families drawn from the traders profiled on this site, each with an illustrative win-rate and reward:risk starting point — not a claim about any real track record. Adjust the sliders to see how expectancy responds.

Expectancy per trade, in R-multiples

Positive means the strategy makes money on average per trade at these inputs; taller bar is better.

FamilyWin rateReward:riskExpectancy (R)

Individual traders

Each of the 15 strategy traders, with an illustrative win-rate and reward:risk reviewed by hand before publishing — pick one to see a single simulated sequence of 30 trades at those odds.

Trend-following

Alexander Elder

Elder's systematic approach with strict risk management (2% Rule, 6% Rule) and multi-indicator confirmation (Triple Screen, Elder-Ray) suggests a balanced win-rate with moderate reward:risk, aiming for consistency over high-frequency wins or extreme asymmetric payoffs.

45% win rate 2.5R reward:risk
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Jesse Livermore

The style emphasizes decisive action on high-conviction tape-reading setups, implying fewer but higher-quality trades with asymmetric payoffs.

40% win rate 3.0R reward:risk
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Stan Weinstein

Weinstein's focus on chart patterns and relative strength suggests a balanced approach with moderate win rates and reward:risk, as his methods aim to capture trends early but require confirmation from price action.

55% win rate 2.5R reward:risk
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Michael Covel

Trend following with strict risk management typically involves a lower win rate due to frequent small losses, but higher reward:risk ratios from riding large trends when they occur.

35% win rate 3.5R reward:risk
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Curtis Faith

Trend-following systems typically have lower win rates but higher reward:risk ratios due to letting winners run while cutting losses quickly.

40% win rate 3.0R reward:risk
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William O'Neil

O'Neil's approach combines technical breakdowns (e.g., head-and-shoulders) and deteriorating fundamentals, suggesting a moderate win-rate with a higher reward:risk as short positions capitalize on accelerated downtrends after confirmation.

45% win rate 2.5R reward:risk
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Market Wizards

Trend following strategies typically have lower win rates but higher reward-to-risk ratios due to letting winners run and cutting losses quickly.

40% win rate 3.0R reward:risk
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Momentum / breakout

Mark Minervini

Momentum trading with breakouts and pullbacks typically involves a balanced win rate with higher reward-to-risk ratios to capitalize on strong trends while managing losses through time stops and mark-to-market discipline.

50% win rate 3.0R reward:risk
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Mark Minervini

Momentum trading with strict risk management suggests a balanced win-rate with a higher reward:risk to capitalize on strong trends while cutting losses quickly.

45% win rate 3.0R reward:risk
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Mark Minervini

Minervini's focus on high-probability setups like VCP and Stage 2 Uptrends suggests a balanced win-rate with a moderate reward:risk, as his method combines selective entry points with letting winners ride momentum.

60% win rate 2.5R reward:risk
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Mark Boucher

The combination of quantitative analysis, relative strength, and volatility tools suggests a balanced approach that prioritizes optimized risk/reward ratios, leading to a moderate win rate with a moderately favorable reward-to-risk.

45% win rate 2.5R reward:risk
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Super Performance

Cyclical trading focuses on timing entries and exits within stock-price cycles, suggesting a balanced win-rate with moderate reward:risk to capture cyclical moves while managing emotional selling risks.

55% win rate 2.5R reward:risk
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Chart pattern / statistical

Thomas Bulkowski

Bulkowski's focus on statistically-measured chart patterns suggests a moderate win-rate with a slightly favorable reward-to-risk ratio, as patterns provide defined entry/exit points but require room for stop-losses due to occasional false breakouts.

55% win rate 1.5R reward:risk
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Victor Niederhoffer

The eclectic, probability-driven approach with emphasis on patterns and expected value suggests a balanced win-rate and moderate reward:risk, favoring statistical edges over extreme asymmetry.

55% win rate 1.5R reward:risk
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Day-trading / tape-reading

Mike Bellafiore

The focus on high-probability setups and tape reading suggests a moderate win rate with a slightly favorable reward:risk ratio, as the strategy aims to capitalize on statistically measured edges while managing risk.

55% win rate 1.5R reward:risk
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Psychology — no strategy numbers apply

Two traders profiled on this site aren't teaching a trading strategy at all — they're explaining why traders sabotage whichever strategy they use. No win-rate or reward:risk applies to their work, so they're never in the chart above.

Daniel Kahneman

Loss aversion & prospect theory — why a loss hurts roughly twice as much as an equivalent gain feels good, and how that bias drives traders to hold losers too long and sell winners too early.

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Jared Tendler

The mental game of trading — tilt, accumulated emotion, and the perfectionism trap that makes traders abandon a working plan under stress.

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