To The Moon

Most new traders treat trading like a school exam—they think if they aren't right 80% or 90% of the time, they are failing. This belief causes beginners to hold losing trades forever just to avoid taking a loss and ruining their "win rate." Here is the secret: Win rate doesn't determine profitability—Risk-to-Reward Ratio (R:R) does. What Is Risk-to-Reward Ratio? Your Risk-to-Reward Ratio measures how much money you stand to lose versus how much money you stand to gain on a single trade. 1:1 R:R: You risk $10 to make $10. 1:2 R:R: You risk $10 to make $20. 1:3 R:R: You risk $10 to make $30. The 10-Trade Math Experiment Assume you take 10 trades risking $20 per trade with a 1:3 Risk-to-Reward Ratio. You have a terrible week and lose 6 out of 10 trades (a 40% win rate). Even though you were w

Most new traders open a chart and just see a confusing blur of red and green bars. They look random, but they are actually the absolute foundation of understanding price action. Every single candlestick on your chart tells a self-contained story about the battle between buyers (bulls) and sellers (bears). If you can read the story, you can predict where the price is likely going. Here is a visual breakdown of how to read a single candlestick, which you should save to your trading journal or education folder. The Anatomy of a Candlestick The image below illustrates exactly what each part of the bar represents: The Body: The wide part. This shows the difference between the Open (where price started) and the Close (where price finished) for that time period. A big body means strong momentum f

Last post, we talked about growing a small account safely. But here is an uncomfortable truth: if you aren't journaling your trades, you aren't trading—you're just gambling. Most beginner traders fail not because they lack a good strategy, but because they repeat the exact same expensive mistakes 50 times without noticing. A trading journal is your mirror. It turns random buy/sell buttons into actual data you can use to get better. You don't need fancy $50/month software. Here is a free, simple 7-column template you can set up in 5 minutes using Google Sheets, Excel, or Notion. The 7-Column Trading Journal Template Copy these headers directly into your spreadsheet or database: Breakdown of the Columns (And Why They Matter) 1. Date & Asset/Direction Keep track of the day of the week and

Ask any trader who has been in the markets for more than a few years, and they’ll usually admit it: almost everyone blows up their first trading account. It rarely happens because their strategy was bad. Most of the time, an account goes to zero because emotion overrides reason. When real money is on the line, psychology takes the driver's seat. If you want to survive your first year of trading, here are the three major psychological traps you need to spot before they wipe out your capital. 1. The Emotional Rollercoaster (Market Psychology) When you start trading, your brain experiences extreme highs and lows driven by price movement. Understanding where you are emotionally during a trade is half the battle. Euphoria: You win 3 trades in a row. You feel invincible, double your position siz

When you first open a charting platform, it’s tempting to add 15 different indicators—RSI, MACD, Bollinger Bands, Stochastic, Moving Averages... until your screen looks like a rainbow nightmare. Here’s the truth: You don’t need dozens of indicators to start reading the market. The most reliable concept in technical analysis is also one of the simplest: Support and Resistance (S&R). Here is a beginner-friendly breakdown of what it is and how to build a trade setup around it. What Are Support and Resistance? Think of price movement as a rubber ball bouncing inside a house: Support (The Floor): A price level where buying interest is strong enough to overcome selling pressure. When price drops to this level, buyers step in and the price tends to "bounce" back up. Resistance (The Ceiling):

$Celsius Holdings, Inc.(CELH)$ is currently trading around $29.15, stabilizing near the lower end of its wide 52-week range of $26.55 to $66.70 following its Q2 2026 earnings release. Recent price action shows choppy consolidation around the $28.00–$30.00 region as the market processes a 10.6% total revenue increase to $817.9M counterbalanced by softer flagship brand growth and gross margin compression down to 48.1%. Chasing upside bounces in the immediate wake of an earnings report with elevated promotional spending risks catching a false breakout. The pragmatic play is to wait for the stock to build a clean, multi-week horizontal base before deploying fresh capital.

Look at the recent tape on $Corning(GLW)$ it has been a brutal reality check after an incredible run-up. The stock surged to a 52-week high of $271.78 in late June, but it has suffered a sharp pullback, tumbling down toward the $158 level as sellers cashed out. While it is still well above its multi-month lows, this rapid sell-off shows that traders are skittish ahead of the upcoming Q2 earnings report on July 28, 2026. Chasing every short-term bounce right now is a dangerous game. Smart money is holding off and keeping their powder dry until Corning proves that its financial growth can match the market's high expectations.

A lot of retail traders are looking at the $S&P 500(.SPX)$ and assuming the hardest part of the market is behind us, but I have watched this pattern play out many times before. Strong markets create confidence. Confidence creates bigger positions. Bigger positions create the belief that every dip is an opportunity. That cycle can continue for a long time, but eventually the market tests whether investors actually understand the risks they are taking. The interesting thing about this environment is that the underlying story is not fake. AI, automation, and technology investment are real trends. The mistake investors often make is not believing the trend — it is assuming every stock connected to the trend will perform perfectly. I have see

The institutional debate around $IREN is fascinating because the company sits between multiple investment categories. Is it: A Bitcoin miner? An AI cloud provider? A data center developer? An energy infrastructure company? The answer matters because each category receives a different valuation. The NVIDIA partnership changed the conversation because it gave investors a stronger AI infrastructure angle. IREN announced a strategic partnership involving NVIDIA-aligned infrastructure and a potential investment mechanism tied to future expansion. Institutional investors are likely watching several factors: Can AI revenue replace Bitcoin-related revenue? Can margins improve? Can capital spending generate attractive returns? Can the company deliver infrastructure faster than competito

$NVIDIA(NVDA)$ is interesting right now because the biggest battle is not between bulls and bears anymore it's between confidence and expectations. The company keeps proving the AI story is real. Revenue growth, data center demand, and Blackwell adoption have been strong enough that skeptics have had to constantly move the goalposts. The latest numbers showed how much the AI infrastructure buildout is still benefiting NVIDIA, with data center revenue remaining the main driver. But the question I keep coming back to is whether investors are expecting too much perfection. A great company can still become a difficult stock if expectations get too far ahead of reality. NVIDIA is no longer being judged like a normal semiconductor company. Every quar