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Honest Limitations

Every trading system has boundaries. Understanding what Gordon cannot do is as important as understanding what it can.

What Gordon Is

Gordon is a systematic trend-following system for crypto futures. It:

  • Detects trends using mathematical indicators (not predictions)
  • Sizes positions based on risk, not conviction
  • Manages risk with mandatory stop losses and circuit breakers
  • Validates every strategy through walk-forward testing before deployment
  • Runs autonomously 24/7 with minimal intervention

What Gordon Is Not

Not a Prediction Engine

Gordon does not predict where prices will go. It reacts to trends that have already started. This means:

  • It will always be late to a move (it needs confirmation)
  • It will always give back some profit at the end of a move (it needs reversal confirmation)
  • It will never catch the exact top or bottom

Not High-Frequency Trading

Gordon operates on timeframes from 1 hour to 1 week. It does not:

  • Trade on sub-minute data
  • Use order book depth or tick data (except for VPIN)
  • Compete on latency
  • Execute hundreds of trades per day

Not a Guaranteed Profit Machine

Historical backtests show positive expected returns, but:

  • Past performance does not guarantee future results
  • The crypto market is changing (ETF institutionalization compresses volatility)
  • Black swan events can exceed historical drawdown levels
  • The system can and will have losing months

Not a Black Box

All validated strategies are interpretable:

  • Supertrend: "price crossed above/below an ATR band"
  • EWMAC: "fast moving average crossed slow moving average"
  • PSAR: "parabolic dots flipped to other side of price"

There is no deep learning, no neural network, no unexplainable signal.

Known Limitations

Simulation vs Reality

Backtests are simplified models of reality. Gordon's backtests include fees and slippage estimates, but cannot fully account for:

  • Market impact — large orders move the price (less relevant for $5-10k accounts)
  • Exact fill prices — backtests assume fills at the close, reality is messier
  • Exchange downtime — Binance has occasional outages
  • API rate limits — may delay order execution

Data Limitations

  • All data comes from Binance — no multi-exchange coverage
  • Spot data used for maximum history, but futures behavior may differ slightly
  • 1-minute candles are the finest granularity — no tick data for most analysis

Structural Changes

The crypto market is structurally different from when many of our backtests begin:

  • 2017-2019: retail-dominated, high volatility, easy trends
  • 2020-2023: DeFi, institutional entry, still volatile
  • 2024+: ETF era, reduced volatility, more efficient

Strategies that worked well in 2017 may work less well going forward. Gordon addresses this through multi-strategy diversification and ongoing research (v3 alpha-seeking).

Single Exchange Risk

Gordon runs on Binance. If Binance experiences:

  • Extended downtime
  • Regulatory shutdown
  • Security breach

The system cannot trade. Mitigation: regular withdrawals to reduce exchange exposure.

The Honest Expected Outcome

Based on walk-forward testing across 5-8 years of data:

MetricRealistic expectation
Annual return15-25% in good years, -10-15% in bad years
Max drawdownUp to 25% from peak
Win rate40-50% (profitable through R:R > 2:1)
Losing streaks5-8 consecutive losses is normal
Time underwaterMonths at a time during sideways markets

This is not exciting. It is designed to be boring and reliable over years, not months.

Gordon — keep compounding without blowing up