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Two NVDA screens, one decision: how to read a backtest before you size it

By Prateek Rajdev·@prateek_trades|June 23, 2026|5 min read
Two NVDA screens, one decision: how to read a backtest before you size it

Two of my screens are long NVDA on the 1-hour chart right now, each with three years of backtest behind it. One shows +1143%. The other shows +191%. I am taking the +191%. A few years ago I would have grabbed the other one, and a number like that +1143% once walked me into a 47% drawdown before I closed it red. So here is the read I run before I size anything.

Same ticker, same timeframe, same direction, one three-year window. Here is what each rule actually checks:

  • Screen A, Strong Intraday Uptrend (1H, long): price above VWAP, the 9 EMA over the 20 EMA, volume above its 20-bar average. Momentum with volume behind it. +1143% net, n=238.
  • Screen B, Above All MAs Bull (1H, long): price above the 20, 50, and 200 SMAs, stacked 20 over 50 over 200. A confirmed uptrend. +191% net, n=501.

Pick which one you would take, then watch me get to the other answer.

Screen A
Strong Intraday Uptrend, 1H long
Screen B
Above All MAs Bull, 1H long
Net return+1143% ✓+191%
Win rate59.7% ✓56.5%
Profit factor (the edge)1.351.62 ✓
Sample size (n)238501 ✓
EV per trade1.224% ✓0.221%
Avg hold per trade141h16h
Return per day held0.21%0.33% ✓
Max drawdown-47.3%-11.2% ✓
Risk per trade5%2% ✓
Both are clean NVDA longs on the 1-hour chart. One number points at A. Almost every other number points at B.

One thing the names hide: a screen is only the entry. The numbers above also bake in an exit. Screen A takes a one-to-one, a 5% stop and a 5% target. Screen B risks 2% and lets winners run, a target five times the stop, with a trailing stop. Part of why B reads better below is that exit, not just the entry.

A number that lies more often than it should

A third NVDA screen, Prior Day High Breakout, daily, long, wins 52.1% of the time on n=71. Right more than half the time. It also carries a profit factor of 0.85 and a net return of negative 9.4%. It wins most of its trades and still loses money, because the losers are bigger. Win rate tells you how often you are right. It says nothing about how much you make when right, or give back when wrong.

The gut answer is the net-return answer

The 6x gap pulls almost every eye to A. Here is the trap. Net return is a cumulative, compounded outcome. It grows with how often a screen fires and how big each bet is. Screen A actually fired fewer times than B, 238 against 501, yet it bets more than twice as hard, 5% per trade against 2%. A's headline is the size of the bet, not a better edge. It is the one number you must never use to rank two screens against each other. Set it aside and find the stat that isolates the edge.

Profit factor is the edge

Profit factor is gross profit divided by gross loss. Above 1 makes money, below 1 bleeds, around 1 is a coin flip. Dollars won per dollar lost, stripped of how often you traded or how much you bet. Screen B sits at 1.62. Screen A sits at 1.35. The screen with the smaller net return has the bigger edge per dollar risked. Across all 102 backtested NVDA screens, 9 actually lose money with a profit factor under 1, so a reading above 1 is earned, not assumed. Compare profit factor, never net return.

Is the edge real, or a lucky streak?

Sample size settles that. Screen A fired 238 times. Screen B fired 501. A fat profit factor on a thin sample is noisier than a steady one on a deep sample. B wins this axis too.

The stat that only means something next to the clock

Expected value per trade is where A finally looks alive. A earns 1.224% per trade. B earns 0.221%. A looks roughly 5x better, and you would expect it to win something here. Then you divide by the clock. EV per trade hides how long your money was tied up earning it. Screen A holds about 141 hours per trade on average (median 117). Screen B holds about 16 hours (median 3). Normalize to return earned per full day your capital is locked in, and A makes roughly 0.21% per day held while B makes roughly 0.33%. The quiet screen is the more efficient use of capital. This is an illustrative read, not a risk-adjusted score, but the direction flips.

EV per trade vs per day held
Same per-trade edge is not the same edge once you divide by the clock.

Survival is a separate axis from edge

Screen A's worst peak-to-trough was negative 47.3%. Screen B's was negative 11.2%. Worst single loss at the 95th percentile, 6.2% for A versus 2.5% for B. This axis is independent of the edge. A screen can have a fine profit factor and still hand you a drawdown you panic-close at the bottom. A backtest you cannot psychologically hold is a backtest you will not actually trade.

Drawdown comparison
Survival is a separate axis: Screen A fell 47.3% at worst, Screen B 11.2%.

So which one

Screen B, Above All MAs Bull, 1H long. Bigger edge (1.62 versus 1.35), deeper sample (501 versus 238), more efficient per day held (0.33 versus 0.21), a quarter of the drawdown (negative 11.2 versus negative 47.3). Its per-trade EV is small, 0.221%; it earns by firing often and staying calm, not by any heroic trade. Screen A is not a bad screen. It is a leveraged one, and that +1143% is a story about 5%-per-trade sizing, not about being smarter.

That is the kind of entry a screener is supposed to surface, the rare one with a reason to fire, and then leave you alone. Depth over volume, not another alert.

The read, in order: win rate is checked by profit factor, profit factor by sample size, EV per trade by hold time, net return by risk and frequency, and all of them by max drawdown. Every number here came from one fixed rule on one fixed universe, recomputed, 102 screens swept, 9 of them losers. That is the whole difference between a screen and a screenshot a guru posts.

102 NVDA screens by profit factor
The whole sweep. 102 backtested NVDA screens, 9 of them lose money.

I am a US swing trader with a day job, and I am building ChartMath, a research company that backtests screens so the track record is verifiable instead of cherry-picked. We give away the method on purpose. Follow for the series where we read these one screen at a time.

Disclaimer: This article is for educational purposes only. ChartMath is not a broker, dealer, or investment adviser. Past performance of any screen or strategy does not guarantee future results. Always do your own research before trading.
Prateek Rajdev

Prateek Rajdev

Co-Founder, ChartMath

Prateek Rajdev is the Co-Founder of ChartMath, an active technical trader who lives the problem the product solves. He holds a B.Tech in Computer Science from IIT Mandi. Prateek drives the technical architecture behind ChartMath, building the real-time scanning and backtesting engine that powers every signal in the app. His belief: the same tools institutions use should be available to retail, without the institutional pricing or complexity.

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Contents
  1. A number that lies more often than it should
  2. The gut answer is the net-return answer
  3. Profit factor is the edge
  4. Is the edge real, or a lucky streak?
  5. The stat that only means something next to the clock
  6. Survival is a separate axis from edge
  7. So which one