Video summary
High Accuracy 1 Minute Scalping Strategy (Full Training)
Main summary
Key takeaways
Trading style / objective
- Teaches a 1-minute / 5-minute “scalping” day-trading strategy designed to capture short-duration bursts of intraday volatility.
- Uses a 10-second chart as a supplement.
- Focuses on high frequency participation during strong momentum phases, while avoiding the “backside” (pullback/decline portion of a move after trend breaks).
Instruments / tickers mentioned
- ZPP (stock): primary focus of the day’s case study
- ZAP (stock): referenced as another example
- AMVS (stock): referenced as another example
- GameStop: referenced in performance context (winners/losses)
Additional “hot sector” examples mentioned:
- AI
- Pharmaceuticals
- Chinese AI
No ETFs/bonds/crypto mentioned.
Step-by-step framework (explicit methodology)
-
Find a volatile stock (via real-time scanners)
- Minimum threshold: Relative Volume ≥ 5x
- Defined as volume 5× higher than the 14-day average
- Additional demand check: stock should be up at least 10% on the day (proxy for demand/high urgency)
- Note: continuation setups may sometimes fall slightly below the threshold due to rising average volume.
- Minimum threshold: Relative Volume ≥ 5x
-
Identify the catalyst
- Preferred: a clear news catalyst such as:
- earnings
- clinical trial results
- FDA approvals
- new contract
- If no obvious catalyst:
- treat as continuation momentum
- verify whether earlier news triggered the move
- Mentions “multiplier” headline keywords and attention drivers:
- trending keywords like AI
- “Co”
- big-name company keywords (examples: Amazon, Apple, Google, Nvidia, Walmart) that can attract faster algorithmic attention
- Other volatility drivers mentioned:
- recent IPO
- special purpose acquisition company (SPAC)
- reverse split
- Preferred: a clear news catalyst such as:
-
Technical setup for entry/target
- Looks for realistic upside capture:
- first target: 15–20 cents, aiming for roughly ~1:1 risk/reward
- Uses chart patterns, notably:
- micro pullback
- first pullback
- “first candle to make a new high” after a pullback (on 1-min and 5-min charts)
- Poses the question: “Can it go 50 cents or more?”
- Caution: if expected move is small (especially after factoring spreads), the trade may not be worth taking.
- Looks for realistic upside capture:
-
Tape / Level 2 confirmation + entries/exits
- Uses Level 2 (order book) and time & sales (“reading the tape”).
- Key concept: breakouts/bailouts driven by buying volume surging as:
- shorts cover
- orders execute
- Watches for “walls” / stacked liquidity at psychological levels:
- half dollars / whole dollars (examples mentioned: $6.5, $7, $7.5, $8)
- Exit triggers:
- green candles slowing / getting smaller (exhaustion)
- topping tails / shooting star / doji-style reversal candles
- large sellers on the tape / Level 2
- hard exit when max loss is hit
-
Track performance metrics and adjust
- Reviews:
- accuracy
- average winners
- average losers
- profit per trade
- Emphasizes rule adherence and “leaning into what works, abandoning what doesn’t.”
- Reviews:
Key numbers, thresholds, and performance metrics
Setup thresholds & requirements
-
Relative Volume: target ≥ 5x (vs 14-day average)
- Example values mentioned:
- AMVS relative volume ~10.39
- ZPP relative volume ~4 (treated as acceptable due to continuation context)
- Example values mentioned:
-
Daily price move / demand: stock should be up ≥ 10% on the day
- Examples mentioned:
- AMVS up around ~17% (implied)
- ENVS cited up 52% in an example segment
- ZAP mentioned as hitting ~100% intraday
- Examples mentioned:
Pricing/risk preferences
- Prefers stocks priced between $1 and $20
- Notes inverse relationship: higher price ⇒ higher volatility risk / harder risk control.
- Float constraint:
- trades best when float < 10 million shares (float = shares available to trade)
Profitability metrics (from presenter analytics)
- Accuracy: 68.5%
- Based on 9 years of trading history loaded into their analytics tool
- Average winners: about 14 cents/share
- Average share size: ~10,000 shares
- Average profit per trade: ~$1,400
- Average losers: revised to about 18 cents/share
- Average winner/loser dollar relationship described as approximately equal in dollar terms
- Interpretation principle:
- With accuracy above 50%, the strategy can be profitable if winner/loser dollars are roughly balanced.
- Break-even examples:
- risk $1 to make $1 → need 50% accuracy
- risk $1 to make $2 → need 33% accuracy
Risk management / stop sizing
- Uses a tight “arbitrary” stop around ~10–15 cents
- Mentions average loser target around ~14–15 cents
- Strong caution about bid-ask spread
- Example: ~13 cents spread with prices around $15.88–$15.95
- Market order flipping can cause 5–10 cents loss due to spread alone
- Explicit recommendation:
- If spreads prevent keeping risk tight, do not trade
- Example: ZPP trial abandoned due to difficulty managing stops vs spreads
- “Minimum move” requirement:
- scalp trades need potential upside around ~30 cents to be worth it (spreads/slippage + exit timing)
Explicit trade logic (examples and recommendations)
- Do not overstay the trade
- Enter aggressively on the front side of momentum.
- After signals like EMA20 cross / break below 20 EMA / MACD crossover, stop trading that name and wait for the next setup.
- Walk-away discipline
- Example: after making $10,000 in roughly under 2 hours in the morning session, they stop for the day (double daily goal).
Order-book / Level 2 breakout example (ZPP)
- Watches a seller “wall” around $7.75 / the $7.75–$8 area.
- Enters earlier than the level break, citing:
- expected micro pullback behavior
- order book liquidity
- Risk example:
- max loss defined around a buyer on the bid (example buyer around $7.50)
- risked about 10 cents/share
- multiplied by ~8,000 shares ⇒ about $800 risk
- Notes short sellers may be forced to cover if price breaks higher, accelerating the move.
Tools / operational requirements
- Real-time volatility scanner (subscription)
- Example: “Day Trade Dash scanner” on Warrior Trading
- Level 2 market data
- Available through brokers; may require extra subscription
- Hotkeys for rapid execution
- Shift-based buy hotkeys with slippage offset
- Ctrl+Q cancels open orders
- Ctrl+Z / Ctrl+X sells at bid (full/partial) with slippage assumptions
- Analytics platform
- TradingView used for performance aggregation (example shown: $12.7M gross profit)
Disclosures / cautions mentioned
- Trading is risky.
- Results are not typical.
- Recommends practicing in a simulator before using real money.
- Scalping success is contingent on:
- risk management
- executing correctly
Presenters / sources
- Presenter/source mentioned:
- Warrior Trading / “High Accuracy 1 Minute Scalping Strategy (Full Training)” instructor (no personal name clearly stated)
- Tools / platforms:
- Warrior Trading (Day Trade Dash scanner, classes/curriculum)
- TradingView (analytics)
- News sources mentioned as alternatives:
- MarketWatch
- Yahoo Finance
- Example tickers used in the material:
- GameStop, ZPP, ZAP, AMVS, ENVS
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