The Warrior Way: Mastering Momentum Trading in the US Market (A Beginner’s Guide)

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Are you tired of watching stocks move 20% while you’re stuck on the sidelines? Welcome to the high-stakes, high-reward world of Momentum Trading.

If you’ve spent any time on YouTube looking at green day-trading charts, you’ve likely encountered Ross Cameron of Warrior Trading. His strategy isn’t about “investing” in the traditional sense; it’s about being a sniper—waiting for the perfect “Vibe” in the market and striking with precision.

In this guide, I’ll walk you through the Antigravity Protocol version of Ross’s strategy. We’ll cover everything from the PDT rule to building your first automated gap scanner with AI.

1. The Pre-Flight Check: Setting Up Your Fortress

Before you place a single trade, your infrastructure must be rock-solid. In the US market, speed isn’t just an advantage; it’s a survival requirement.

Understanding the PDT Rule

For US-based traders (and those using US brokers), the Pattern Day Trader (PDT) rule is your first hurdle. If your account is under $25,000, you are limited to 3 day trades per 5-day rolling period.

  • Mentor’s Tip: If you’re starting small, consider a Cash Account. You won’t have margin, but you can trade as much as you want—provided your funds have settled (T+1).

Tools of the Trade

Don’t bring a knife to a gunfight. Avoid “free” brokers like Robinhood for this specific strategy. Their “Payment for Order Flow” (PFOF) means slower executions.

  • Recommended: LightSpeed, Interactive Brokers (IBKR), or TD Ameritrade (Thinkorswim).
  • The “Vibe” Tool: Use Cursor or Windsurf to orchestrate your data pipelines.

2. The Hunt: Scanning for “Low Float” Gappers

Ross Cameron focuses on a very specific niche: Low Float Stocks ($2 – $15 range) that are “Gapping Up” on high relative volume.

The Winning Criteria:

  1. Gap: Price is up 10%+ in the pre-market.
  2. Low Float: Under 20 million shares available. Why? Low supply + High demand = Explosive price action.
  3. Catalyst: A reason for the move (Earnings, FDA approval, Partnership).
  4. Volume: At least 500k shares traded before the opening bell.

3. Vibe Coding: Building Your Automated “Antigravity” Scanner

Why manually scan when you can have an AI agent do it? Here is a Python script utilizing yfinance and pandas. We’ve applied the Antigravity Protocol—meaning we include rate-limiting and local data handling to prevent API bans.

import yfinance as yf
import pandas as pd
import time
from datetime import datetime

# --- ANTIGRAVITY PROTOCOL: Fortress Architecture ---
# Logic: Safety First, Local-First Data Handling, Rate Limiting

class WarriorScanner:
    def __init__(self, watch_list):
        self.watch_list = watch_list
        self.min_gap = 0.10  # 10% Gap
        self.max_float = 20_000_000  # 20M Shares
        self.request_delay = 1.0  # Jitter to avoid API ban

    def scan(self):
        print(f"[{datetime.now()}] Starting Antigravity Scan...")
        candidates = []

        for ticker in self.watch_list:
            try:
                # Local-First check or minimal API call
                stock = yf.Ticker(ticker)
                info = stock.info
                
                # Filter 1: Low Float check
                share_float = info.get('floatShares', float('inf'))
                if share_float > self.max_float:
                    continue

                # Filter 2: Price & Gap check
                hist = stock.history(period="2d")
                if len(hist) < 2: continue
                
                prev_close = hist['Close'].iloc[-2]
                current_price = hist['Close'].iloc[-1]
                gap = (current_price - prev_close) / prev_close

                if gap >= self.min_gap:
                    print(f"MATCH FOUND: {ticker} | Gap: {gap:.2%} | Float: {share_float/1e6:.1f}M")
                    candidates.append(ticker)

                # Defensive Sleep (Anti-Ban)
                time.sleep(self.request_delay)

            except Exception as e:
                print(f"Error scanning {ticker}: {e}")
                continue
        
        return candidates

# Example Orchestration
# In a real scenario, you'd pull the S&P 1500 or a custom mid-cap list
tickers = ["GME", "AMC", "KOSS", "BBBY", "ANY", "BTBT"] 
scanner = WarriorScanner(tickers)
gappers = scanner.scan()

4. Execution: The “Bull Flag” Breakthrough

Once your scanner finds a candidate, look for the Bull Flag.

  1. The Pole: A massive spike in price and volume. Do not chase here.
  2. The Flag: A period of consolidation where volume drops significantly. This shows that sellers are exhausted.
  3. The Entry: Buy the moment the price breaks the upper trendline of the flag with a surge in volume.

Hotkey Mastery

In momentum trading, seconds are centuries. Set up your Hotkeys:

  • Ctrl+B: Buy 1000 shares at Market/Limit.
  • Ctrl+S: Sell 100% Position at Market.
  • Shift+S: Sell 50% Position (Taking partial profits).

5. Risk Management: The Antigravity Shield

Never trade without a shield. The US market is volatile; “Low Float” stocks can drop 20% in seconds.

  • Hard Stop Loss: Always place a physical stop-loss order at the bottom of the “Flag.”
  • The 2:1 Rule: Never take a trade where your potential profit isn’t at least twice your potential risk.
  • Max Daily Loss: Decide your “uncle point.” If you lose $500 today, the computer goes OFF. No revenge trading.

Essential Resources for Your Journey

To truly master this, you need to immerse yourself in the data. Here are 5 essential sources to verify your “Vibe”:

  1. Warrior Trading Official – The source of the strategy. Ross Cameron’s educational hub.
  2. Finviz Stock Screener – The best free tool for filtering stocks by “Float” and “Gap.”
  3. Investopedia: Pattern Day Trader – Crucial reading to understand US regulatory constraints.
  4. SEC Edgar Database – Verify “Catalysts” by looking for 8-K filings or FDA approvals.
  5. CCXT Library Documentation – If you’re moving into Crypto momentum, this is the gold standard for global API orchestration.

Conclusion

Momentum trading is like surfing; you don’t control the ocean, you just learn to ride the waves. By combining Ross Cameron’s aggressive scanning with our Antigravity Protocol’s safety layers, you’re giving yourself the best chance to survive and thrive.

Summary Takeaways:

  1. Focus on Low Float stocks with a clear Gap and Catalyst.
  2. Wait for the Bull Flag—never chase the initial spike.
  3. Use Hotkeys and Automated Scanners to maintain your “Vibe” and speed.

⚠️ Important Disclaimer

1. Educational Purpose: All content, including code and strategies, is for educational and research purposes only. 2. No Financial Advice: This is not financial advice. I am not a financial advisor. 3. Risk Warning: Algorithmic trading involves significant risk. Past performance (including backtest results) does not guarantee future results. 4. Software Liability: The code provided is “as-is” without warranty of any kind. The author is not responsible for any financial losses due to bugs, API errors, or market volatility. Use this code at your own risk.

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