Video summary

Scalping Strategy That Makes Him $1,000+/Day (Full Interview w/ John Kurisko)

Main summary

Key takeaways

Finance

Finance-Focused Summary (Markets + Trading Methodology)

John Kurisko discusses a rules-based futures scalping approach built around multi-timeframe Stochastic (George Lane) divergences and a channel/pivot structure. The goal is to enter only during specific “high-probability” setups and to exit using a stochastic threshold to avoid giving back gains.

Instruments / Sectors Mentioned

Futures / Indices

  • ES (S&P 500 E-mini) — explicitly referenced as his usual instrument
  • MES (Micro E-mini S&P 500 futures) — mentioned for scaling contract size

Crypto

  • Bitcoin — referenced around 83,000

Forex / Metals

  • Forex (general reference)
  • Gold futures — plus a “South Africa example” (contextual)

General Mentions

  • “stocks, options” are mentioned generally, but the strategy focus is futures.

Key Indicators / Variables

Stochastic Oscillators (George Lane)

The strategy uses four stochastics simultaneously (“quad rotation” concept):

  • 9,3 — primary timing tool
  • 60,10 — described as a “bigger timeframe,” embedded with the 5-minute environment
  • 14,3
  • 44

Thresholds

  • Oversold condition: all relevant stochastics must be under 20
  • Exit trigger: 9,3 rotation above 80 → take profits / exit

Directional / Risk Logic Filters

Directional/risk logic references:

  • VWAP
  • 200-period moving average
  • 20-period moving average
  • VWAP + 200 MA
  • A 60-period rising condition (when describing bullish context)

Trend / Channel Structure

  • A “1-2-3 channel” constructed from three pivot points
  • Trades must occur inside the channel, with pivot-based entries at “pivot lows” near the lower channel line

Methodology (Step-by-Step Framework)

Timeframes

  • Trades are executed on 1–5 minute timeframes
  • Scalps typically last about ~5 minutes (based on his described momentum/rotation timing)

Step 1: Identify Market Structure

  • Determine a recognizable “1-2-3 channel” using three pivots
  • Confirm that price action is operating within the channel (directional behavior matters)

Step 2: Build the Stochastic “Environment” (Quad Alignment)

  • Use four stochastics at once:
    • 9,3
    • 60,10
    • 14,3
    • 44
  • Define the environment when all four are oversold (under 20)

Step 3: Confirm Divergence for Entry

  • Look for stochastic divergence at the turning point/bottom:
    • Momentum shifts/rotates even if price retests
  • “Quad divergence” requires:
    • Quad rotation (all four oversold)
    • A divergence signal (momentum turn/shift)
    • A channel location (trade inside the channel)

Step 4: Entry Placement

  • Enter on the bottom turn (momentum turns back up)
  • Stop rule:
    • Stop underneath the divergence low / pivot low
    • Emphasis is on body lows rather than wicks for “pure divergence”

Step 5: Profit-Taking / Exit Rule

  • Primary exit:
    • When 9,3 rotates up above 80, exit
    • Price continuation does not matter
  • Trailing stop philosophy:
    • Trailing stops often lead to break-even hits and profit giveback on these setups
  • Channel-based logic:
    • Mentions exiting outside the channel as part of the logic

Step 6: Handling Trends That Don’t Reverse (Flag Logic)

If divergence isn’t clean, he introduces continuation logic using flags:

  • Bull flag concept: short-term oversold pullback during an ongoing uptrend
  • Bear flag concept: a “defeat condition” / caution for divergence validity

He also references a “2020 bear flag” example condition:

  • Price under the 20-period moving average
  • 60,10 embedded underneath the 20 line
  • 9,3 hits 80 (as part of the described bear-flag behavior)

Additional Risk / Filters

Larger Trend Context

  • If trading under the 200-period MA and VWAP:
    • he expects trades are more likely to turn over
    • exit discipline aligns with the consistent 9,3 rotation logic
  • If trading above VWAP and 200 MA with 60-period rising:
    • larger context is framed as bullish

Key Numerical Rules / Performance Claims (Explicit Numbers)

Trading Duration

  • Typically about five minutes per trade (scalp duration)

Stochastic Thresholds

  • Environment/quad oversold: < 20
  • Exit: 9,3 > 80

Win Rate (Qualitative Estimates)

  • If executed perfectly, he claims roughly ~85–90% win rate
  • He suggests that among such setups, 8 out of 10 are “in the money” (money-making depends on execution/entry discipline)

Testing / Automation Note (Disclaimer-Style)

  • He says he does not believe in backtesting
  • Still, he references a bot-like number:
    • “156 trades, 98% profitable trades”
  • He cautions the number is unclear and not something he fully relies on

Bitcoin Example

  • Bitcoin referenced around 83,000 as a demonstration context

Trade Scaling / Targets

  • Claims five to seven setups a day
  • Notes volatility can create large 1-minute candles:
    • over 10 point candles
  • Point capture examples:
    • 5–6 points on some trades
    • 13 point move in a walkthrough
  • Mentions scaling “$50 bills” potentially up to “$500” via contract sizing (framed as a practical scaling concept, not a guaranteed outcome)

Explicit Cautions / Behavioral Risk Management

Timing and Presence

  • He stresses you must sit in front of the computer when the setup appears
  • Missing the timing can invalidate otherwise “good” setups

Discipline Over Overtrading

He warns against:

  • chasing
  • emotional overtrading
  • holding beyond rules (“FOMO”)
  • deviating from entry/exit rules “messes up the statistics”

Exit Discipline

  • Exiting when 9,3 is above 80 is treated as a hard rule to prevent profit giveback
  • Trailing stops are argued to often get hit and erase gains back to break-even

News / Scheduled Events Exception

  • Economic/news can “mess up the style”
  • He sometimes avoids setups around scheduled events (example: “economic news coming out”)

Not a Guaranteed Home Run

  • Even with the method, setups don’t appear every day
  • Practice and professionalism are required

Disclosures / Disclaimers Present

  • The subtitles do not show a typical “not financial advice” disclaimer
  • However, he states:
    • he does not believe in backtesting
    • results depend on perfect execution (“if you’re perfect…”)
    • real-world outcomes can differ

Presenters / Sources

  • John Kurisko — primary presenter/interviewee (futures-focused; mentioned as daytradingradio.com)
  • Etienne — host/other participant referenced (no surname shown in subtitles)
  • Format described as podcast / previous video (no additional named institutional source)

Original video