Video summary
Is JJ Simons Strategy Profitable? I Backtested 365 Days With a Custom Indicator
Main summary
Key takeaways
Finance-specific summary
- The video evaluates a trading approach attributed to JJ Simons (prop-firm trading).
- Core claim: the “one candle” idea (the pre-NASDAQ-open candle) allegedly drives ~$1.3M in profits over 12 months for prop firms.
- The method is based on the idea that the New York open causes an “unfair move” due to institutional volume, pushing price away from a “fair price.”
Fair price definition
- Fair price = the price of the candle right before the NASDAQ open (the pre-open candle).
Market/timing concept
- The strategy trades around the transition from New York open into NASDAQ open.
- That window is treated as the period when the “unfair move” occurs.
Instruments / tickers mentioned
- NASDAQ (specifically micro Nasdaq for the backtest)
- No explicit stock tickers/ETFs/bonds/commodities/crypto were named in the subtitles.
Strategy mechanics (step-by-step framework, as implemented)
Reference line
- “Pre-open price” is marked as an orange line (the fair price).
Trading window
- A shaded period around the New York open is used, where the institutional “unfair move” is expected.
Two trade types from the same setup/line
-
Continuation trade
- Take momentum in the direction of the opening push away from the fair price.
-
Reversion trade
- After the push “exhausts,” trade back toward the fair price.
Discretion vs mechanical execution
- The author states the coded rules match JJ’s described rules “as closely as possible,” but are not identical to a trader’s real-time discretion/eye.
Prop-firm risk / consistency logic (explicit)
- Many prop firms include a consistency rule: no single trade can be more than about ~half of total profit.
- JJ reportedly addresses this by:
- Using maximum risk to clear the target in exactly two trades
- Targeting two winners, each roughly half the profit goal
Probabilistic expectation (given ~50% win rate)
- Two trades in a row = 1 in 4 (≈ 25%) chance to pass the funding framework (based on a simplified 50% win-rate assumption).
Backtest results & key performance metrics (author’s work)
Baseline (unoptimized / original logic coded)
- Profit factor: ~1.2
- Overall: profitable but modest
- Interpretation: suggests an edge, but not strong/exciting.
Optimized version (micro Nasdaq, last 365 days)
- Net result: +$48,700 on a $100K account
- Return: 49% for the year
- Profit factor: 1.7
- Trades: 289
- Win rate: 55%
- Max drawdown: $3,600 (~2.5%)
- Drawdown stayed within a prop drawdown limit of $4,000 (“goated 100k $4,000 limit”).
Same method on Nasdaq cash (described as stronger)
- Profit factor: near 1.9
- Other exact statistics were not provided in the subtitles.
Optimization choices mentioned (examples of rule tweaks)
The author reports testing many combinations and highlights examples such as:
- Continuations only in the direction of the opening candle
- Reversion limit: only one reversion per session in the first 35 minutes
- Continuation timing: taken after the first candle
- Minor adjustments to take profit and stop levels (“nudged the take profit and stop”)
Explicit recommendations / cautions
- Not magic / regime dependent: good performance is not guaranteed.
- Settings are optimized for the last 12 months; results may differ in other market regimes.
- Proper use suggestion:
- Load the indicator first,
- Observe behavior on your own charts,
- Then tweak settings for different market conditions.
- Historical backtest warning / compliance:
- “Historical back test. Past results and simulated results do not predict the future.”
- “None of this is financial advice.”
- “Test on your own data before you risk real funds.”
Disclosures / disclaimers
- No financial advice
- Past/simulated results don’t predict future outcomes
- Encourages testing on your own data before risking real capital
Presenters / sources
- Presenter/author: the video narrator who runs mechanical backtests and creates the indicator and strategy (name not stated in the subtitles).
- Referenced source/trader: JJ Simons, credited as the origin of the described trading approach.