Video summary

I Tested a Simple CCI Strategy. The Results Held Up

Main summary

Key takeaways

Finance

Finance-specific summary (CCI mean-reversion backtest)

Asset/market tested

  • SPY (S&P 500 ETF) using over 33 years of historical data.

Indicator: Commodity Channel Index (CCI)

  • CCI is an oscillator that measures how far price deviates from its recent average.
  • Very low CCI (especially large negative values) implies unusually weak price relative to its recent history.
  • Thesis: mean reversion (i.e., not “CCI magic”).

Strategy methodology / step-by-step rules (explicit framework)

Parameters

  • Compute CCI on a 17-day lookback (and nearby values were also tested).

Entry rule

  • If CCI closes below -180, then buy SPY at the closing price.

Exit rule (primary)

  • Hold until CCI rises above -75.
  • Exit at that closing price.

Constraints

  • No stop loss
  • No profit target
  • Only one position open at a time
  • No hidden filters

Backtest performance metrics & key numbers

  • Total trades: 150 completed transactions
  • Win rate: ~80.7% profitable (about 81%)
  • Average profit per trade: +1.04%
  • Profit vs loss magnitude: gross profits exceeded gross losses by 3.34×
  • Maximum drawdown: ~13.2%
  • Return metric reported: “return coefficient”
    • Baseline (17-day): 3.34

Important accounting note

Results do not include:

  • commissions
  • slippage
  • taxes
  • dividends

Robustness checks (settings, exits, and market periods)

1) Overfitting / lookback robustness

Keeping entry/exit thresholds the same (-180 and -75) while varying CCI lookback:

  • CCI 16: return coefficient 2.99
  • CCI 17: return coefficient 3.34
  • CCI 18: return coefficient 2.61

Conclusion: Similar results across nearby lookbacks (not a single “lucky” parameter).

2) Exit robustness

  • Exiting when CCI recovered above -75 was best, but nearby exit levels also worked.
  • A 5-day exit (mentioned as an alternative) also remained profitable:
    • odds/score cited: 2.28 (as reported)

3) Regime robustness

Split into three long periods:

  • Period 1 return coefficient 2.88
  • Period 2 return coefficient 2.64
  • Period 3 return coefficient 6.36

Interpretation: Profitability appears across different market eras (not confined to one decade).


Explicit cautions / interpretation

  • A high win rate alone isn’t sufficient; the author highlights sensitivity testing across:
    • parameter changes,
    • exit changes,
    • multiple historical periods.
  • The author cautions against assuming strong recent performance will continue.
  • Framing: “historical trend, not a forecast.”

Disclosures / disclaimers

  • No explicit “not financial advice” disclaimer was included in the provided subtitles excerpt.

Tickers/assets/instruments mentioned

  • SPY (S&P 500 ETF)
  • CCI (indicator; not a traded instrument)

Presenters / sources

  • No presenter name or external source was provided in the subtitles excerpt.

Rate this summary

Your feedback will help improve summaries.

Improve this summary

Reprocess with a stronger model when the summary feels incomplete or inaccurate.

Pro

Translate summary in another language

Pro

Ask questions to this video

Chat for follow-up questions, clarifications, and source-backed answers.

Coming soon

Share this summary

Original video