"I try to take the other side of whatever the crowd is doing. I look for situations where I can buy below value and sell above value."

"I always have a worst-case plan. I know exactly what I'm going to do in every situation."

"The key to trading is to have a well-tested system that you follow rigorously."

"I've found that the big money is not in the buying or selling, but in the waiting and the position sizing."

Active Era

1980s – 2000s

Net Worth / AUM

~$1 Billion

Avg Annual Return

~67% (peak years, gross)

Max Drawdown

~8% (exceptionally low)

Markets

Futures, Equities, Options

Biography

Monroe Trout is perhaps the most consistently profitable short-term trader in recorded history. In his interview with Jack Schwager for 'The New Market Wizards,' Trout revealed an almost unbelievable track record: he was profitable in **87% of all months** traded, with an average annual return of approximately **67% (gross)** during his peak years, and a maximum drawdown of only **~8%**. His Sharpe ratio (a measure of risk-adjusted return) was among the highest ever recorded. Trout founded **Trout Trading Company** and later **JWM Associates** (not the LTCM-related one). Unlike most legendary traders who rely on one dominant strategy, Trout combined **dozens of independent quantitative strategies** running simultaneously. He was a pioneer in automated execution, using computers to execute trades at optimal prices while he focused on strategy development and risk management. His record proves that systematic, multi-strategy quantitative trading can achieve both high returns AND exceptionally low drawdowns — the holy grail of trading.

Strategy Deep Dive

Trout's approach is unique among legendary traders because he doesn't rely on a single strategy. He runs a portfolio of strategies: 1. Multi-Strategy Portfolio Construction: Trout operates 30-50+ independent trading strategies simultaneously. These include: - Short-term momentum (1-5 day holding period) - Mean reversion (fade extreme moves) - Statistical arbitrage (pairs trading) - Calendar spread patterns - Intraday pattern recognition - Breakout systems (similar to Turtles but shorter timeframe) Each strategy is sized to contribute equally to overall portfolio risk. When one strategy is in a drawdown, others compensate. 2. Granular Position Sizing Based on Real-Time Performance: Trout continuously adjusts the capital allocated to each strategy based on its recent performance metrics — specifically its rolling Sharpe ratio. If a strategy's recent Sharpe drops below a threshold, its allocation is automatically reduced. If it's performing well, allocation increases. This creates a natural Darwinian selection among strategies. 3. Automated Execution for Precision: Trout was an early pioneer of automated trade execution. His systems generate signals and execute trades automatically, ensuring: - Optimal entry prices (reducing slippage) - No emotional interference during execution - Consistent execution across hundreds of trades daily - Sub-second reaction time to market changes 4. The Inventory Management Approach: Trout thinks of his trading positions like inventory in a business. He wants to "turn over inventory quickly" — holding trades for hours to days, not weeks to months. This means his positions are always small relative to his capital, and he's never heavily exposed to any single market direction for long. 5. Exhaustive Record-Keeping and Analysis: Trout tracks detailed statistics on every single trade: win rate, average win/loss, holding period, drawdown, correlation with other strategies, slippage, and dozens of other metrics. This data drives continuous optimization without overfitting.

Real Trade Example

Typical Multi-Strategy Day — Portfolio Diversification in Action

Setup & Context

A normal trading day for Trout's fund, showing how multiple independent strategies produce smooth, consistent returns.

Entry Layers

S&P Futures long at 1,250200 contracts

Strategy A: Short-term momentum — S&P gapped up on strong jobs data, momentum follow-through expected

EUR/USD short at 1.2850100 lots

Strategy B: Mean reversion — EUR/USD overextended above 2 SD Bollinger Band, fading the extreme

Gold long at $1,310150 contracts

Strategy C: Breakout — Gold broke 20-day high with expanding volume

Bond spread trade50 contracts each leg

Strategy D: Calendar spread — 10Y/30Y yield curve anomaly detected

Stop Loss

Each strategy has independent stops: S&P stop at 1,244 (-6 pts), EUR/USD stop at 1.2885 (+35 pips), Gold stop at $1,302 (-$8), Spread stop at 3 ticks adverse.

Outcome

S&P rallied to 1,262 (+$240K profit). EUR/USD reverted to 1.2810 (+$40K profit). Gold stopped out at $1,302 (-$120K loss). Bond spread converged for +$80K. Net day: +$240K across 4 uncorrelated strategies. The Gold loss was absorbed by gains elsewhere — exactly as designed.

Key Lesson

No single strategy was spectacular, but the combination of 4 uncorrelated strategies turned a mixed day (one loser, three winners) into a solidly profitable one. This is the power of multi-strategy diversification — consistent compounding without the gut-wrenching swings of single-strategy trading.

Risk Management Rules

Strategy Allocation

Each strategy capped at 2% of total portfolio risk

Portfolio VaR Limit

Total Value at Risk never exceeds 5% daily

Adaptive Sizing

Strategy allocation reduced by 50% when rolling Sharpe drops below 0.5

Correlation Monitor

Reduce exposure when cross-strategy correlation exceeds 0.4

Max Intraday Loss

All trading halts if daily loss reaches 2% of equity

Monthly Review

Strategies that underperform for 3+ months are retired or rebuilt

Key Trading Principles

Combine 30+ uncorrelated strategies — individual strategy performance matters less than portfolio consistency

Measure everything obsessively — track detailed statistics on every trade, strategy, and risk metric

Keep maximum drawdowns minimal through granular position sizing and strict strategy-level limits

Automate execution to eliminate slippage, emotional errors, and ensure 24/7 precision

Continuously optimize strategies using real performance data — but never overfit to historical patterns

Risk management is more important than signal generation — a great signal with bad sizing is worthless

Think of positions as inventory — turn them over quickly, don't hold dead weight

The goal is not to have the best single trade, but the best risk-adjusted equity curve over years

How SherAlgo Implements Trout's Philosophy

SherAlgo's multi-order placement across different price levels and the ability to run the EA on multiple charts simultaneously mirrors Trout's multi-strategy portfolio approach. The real-time monitoring (equity, P/L, floating lots) provides the live risk dashboard Trout considers essential. SherAlgo's position control (close specific longs/shorts, cancel specific order types) enables the precise inventory management Trout practices. And the session lines feature helps identify the intraday patterns that drive many of Trout's short-term strategies.

Monroe Trout