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Will Hu

@traderwillhu5,582 subscribers

An improving trader focusing on EPs and liquid leaders. Daily Reviews | Trading Tools | Qullamaggie Wisdoms. Not Financial Advice.

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The Path to Trading Mastery: Research and Pattern Recognition By Qullamaggie 1. Step-by-Step Market Research The easiest way to start is to research the markets thoroughly. First, get a platform like TC2000 and set your charts to the monthly timeframe. Create a watchlist of all US stocks and filter them by dollar volume instead of just share volume. Aim for liquid names—those with at least $1 billion to $10 billion in monthly dollar volume—to avoid "super thin" or illiquid stocks. 2. Identifying the Big Movers Go through the entire database (roughly 5,000 stocks) and identify the outliers. Look for stocks that: At least doubled in price within six months. Increased 200–300% within a single year. Gained 400–500% over three to four years. Create a separate watchlist for every single stock that has made these massive moves. You will likely end up with a few hundred highly liquid, historical winners. 3. Studying Chart Patterns Go back as far as the 80s or 90s and study their chart patterns. Stocks move in very specific ways. These same patterns occur over and over again—there is nothing truly new in the markets. While there are variations, the patterns that worked in the 90s are the same ones you see today. Focus primarily on price action. You can add a few indicators if you wish—I recommend moving averages—but don't use too many. "Too many indicators is for suckers." Study how these big winners acted during pullbacks: Which moving averages did the best stocks respect or "obey"? How did they behave before the breakout? How did they act once the move was underway? 4. Building Your Mental Database (The 2,000-Hour Rule) Your goal is to build a database in your head. Spend 1,000 hours doing exactly this: printing out charts, studying them, and saving them. (I personally use Evernote to store tens of thousands of these charts). Once you understand the price action, spend another 1,000 hours researching the fundamentals and the news behind those moves. What was driving them? What made a stock go up 500% in a year? If you put in those 2,000 hours of deep research, I promise you: before you know it, you’re going to have ten million dollars in your account.

Will Hu

54,680 views • 2 months ago

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All You Need Is Here —— 13 Qullamaggie's Stock and ETF Scans Intraday Scans "Which screen filters my scans? Sure. This is my 'Strongest' scan. These scans are for a specific watchlist I have of the strongest stocks—most of them are growth stocks. Then, like EPs, these are stocks that gap up 7.5% or are up at least 7.5% above yesterday's price, with at least $15 million in dollar volume. Then I have my Momentum watchlist. It’s also a specific watchlist where I pretty much scan for stocks that are up today in that watchlist above yesterday’s highs. This OTC scan... you don’t have to look at that, I’m gonna take it off. I don’t trade OTCs ever; they’ve been dead for many years. For my ETF scan, I look for $30 million in dollar volume and a 6% ADR (Average Daily Range). Then I have Lower Liquidity / Higher ADR scans. These are pretty much stocks that are not very liquid but have a very high ADR, so you can take a smaller position and still make decent money because the stock is likely to make a bigger move. So those are my intraday scans." Weekend & Overnight Scans "Then I have my weekend and overnight scans, which I use to build my watchlists. Pretty much, I scan for the strongest stocks on every timeframe—like one month, six months, three months, two years, one and a half years, etc. They all look the same: $60 million in dollar volume, 3.5% ADR, and ranked among the 7% strongest. The only difference is the timeframe. Then I also scan for the Biggest 5-Day Gainers: $60 million dollar volume and up 25% in the past five days. For ADRs (foreign stocks), you have to scan for them separately in TC2000: $60 million in dollar volume and 3% ADR. So those are pretty much my main scans. Then I also scan for our Biggest Losers on one and two-year timeframes just to find the beaten-down names that could make big moves."

Will Hu

17,578 views • 2 months ago

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