Video summary

I Can Turn ANYONE Into A Profitable Trader... Here's How

Main summary

Key takeaways

Finance

Finance-Focused Summary (Markets, Strategy, Risk, Performance)

Ross Given presents a swing-trading methodology designed to catch stocks at moments likely to produce a fast, large move, typically within ~2 to 8 weeks, and then exit quickly.

Core Trade Idea: “Shallowing Base Breakouts” (Supply/Demand Auction)

Given’s thesis is that institutional investors—including ETFs, hedge funds, mutual funds, endowments, and pensions—tend to drive large price moves.

He describes a chart cycle when institutions accumulate:

  1. Big initial run-up
    • Example: ~50% in ~3 weeks on NESR as a “telltale sign” of institutional demand.
  2. Pullbacks from profit-taking
  3. Further push-ups with progressively smaller pullbacks
    • This creates a “shallowing” pattern, implying supply is being absorbed and the stock becomes harder to buy.

“Shakeouts” and discouraging headlines

He also discusses the idea that shakeouts may be reinforced by:

  • bearish articles,
  • downgrades, and/or
  • allegedly spoofing behavior intended to scare sellers and build the position lower.

Entry/Exit Timing and Holding Period

  • Target holding window: 2–8 weeks
  • Exit preference: after the quick burst, rather than holding through long sideways consolidation.

Example: National Energy Services (NESR)

  • Buy area: around $15
  • Move: up to $22 in ~6 weeks
  • He mentions general outcome ranges such as ~30–50–80%, then later provides additional chart-specific examples.

Risk Management Framework (Explicit)

  • He emphasizes using a stop-loss at a technically defined level (the swing low / prior dip low).
  • Claim: he rarely risks more than ~10% per trade.

Example: NESR risk/reward

  • Buy around: $15.25
  • Stop-loss around: $14
  • Stated risk: ~7%
  • Reward: about ~37% in ~3.5 weeks
  • Implied risk/reward multiple: roughly ~6x (reward multiple vs risk multiple)

Generalized risk/reward expectations

  • Swing trader: aim to risk $1 to make ~3–4
  • Day trader: potentially risk ~1% to make ~3–4
  • Long-term value investor (Buffett-like): might risk ~30–40% to target large multiples (described as outcomes like “2 or 200/300” style results)

Step-by-Step Methodology (As Stated)

  1. Find bull markets
  2. Identify leading areas/sectors within the bull market (themes where stocks rise faster)
  3. Focus on the top 10–20 stocks within those leading areas
  4. Trade “shallowing base breakouts”:
    • after an initial big move, wait for tightening/compression
    • buy the breakout when pullbacks become smaller
    • the price “should not go below” the prior swing low
    • place the stop-loss at the defined swing low (aiming for sub-10% risk)
  5. Seek fast bursts, then move on to the next setup

How to Find “Leading” Stocks/Sectors (Theme Filter)

Given argues institutions invest thematically (macro/theme-driven), so the strategy is to focus on groups that are consistently outperforming.

Tool: TradingView “Industry Strength”

  • Evaluates ~40 subsectors
  • Tracks relative performance over 1, 2, 3, 6, 9, and 12 months
  • Output narrows watch candidates from thousands to roughly ~40–50

Theme example: Metals/Mining

He repeatedly highlights a metals/mining theme, referencing:

  • gold miners
  • rare earth metals
  • steel
  • mining & metals

He also claims gold, silver, copper, aluminum, and steel are rising due to buying interest in that theme.

ETF-Based Stock Discovery Process

He suggests using ETFs to quickly see a sector’s top holdings:

  1. Search for an ETF (example phrase: “mining and metals ETF”)
  2. Review the fund’s public holdings
  3. Build a watchlist from the top ~10–15–20 names by weight

Example ETF: XME

  • XME — State Street Metals and Mining ETF

He mentions top holdings including (some tickers appear potentially incomplete/mis-transcribed):

  • Freeport (likely FCX)
  • Alcoa (typically AA)
  • Newmont (typically NEM)
  • Hecla (typically HL)
  • Royal Gold (typically RGLD)
  • A name resembling “Kyer Mining” (unclear ticker; appears to be a company name with uncertain spelling)
  • He also notes some tickers may require an Excel download.

Named Stock Examples and Performance Anecdotes (Pattern Examples)

Note: Numbers are as presented in the transcript.

  • NESR (National Energy Services)
    • Bought around ~$15
    • Up to $22 in ~6 weeks
    • Also referenced: ~40% in ~2 months (in counting) and an example trade of ~37% in ~3.5 weeks
  • Pneumont / Newmont (as cited)
    • Pattern described as ~60 to 100, with ~40% up in ~50 days
  • Royal Gold
    • Breakout/acceleration setup referenced (no exact % stated in the transcript portion provided)
  • ATI
    • “Up 30%” (he notes the pattern wasn’t perfect but still favorable)
  • Large-cap AI-related examples (historical pattern references)
    • Nvidia (NVDA), AMD, Super Micro (SMCI)

Disclosures / Promotions

  • He promotes his service: “Black Ops trading service”
    • Price: $5 for the entire year
    • Includes:
      • live one-hour mentoring sessions weekly
      • weekly newsletter
      • TradingView chart layout
      • custom indicators, including the “industry strength” tool
  • He urges viewers to sign up via tradewithross.com or a link/QR code.
  • No explicit “not financial advice” disclaimer was present in the provided subtitles.

Instruments / Tickers Explicitly Mentioned

  • NESR (National Energy Services)
  • NVDA (Nvidia)
  • AMD (Advanced Micro Devices)
  • SMCI (Super Micro Computer)
  • XME (State Street Metals and Mining ETF)

Other company names likely tied to tickers (tickers not always clearly confirmed in the transcript):

  • Freeport (likely FCX)
  • Alcoa (likely AA)
  • Newmont (likely NEM)
  • Hecla (likely HL)
  • Royal Gold (likely RGLD)

Theme/commodity categories mentioned:

  • gold, silver, copper, aluminum, steel
  • rare earth metals
  • gold miners
  • mining & metals

Presenter / Source

  • Presenter: Ross Given
    • Described as a former VP of investment management with JP Morgan Chase
    • Presented as a 20-year financial markets veteran

Original video