[HARD TRUTH] Why Most Beginners Blow Up Their Accounts (It’s NOT Their Strategy)
You can give a beginner a trading strategy with a proven 70% win rate and a 1:2 risk-to-reward ratio, and they will still manage to blow up their account within 90 days. Then, they’ll jump onto Reddit or YouTube, flame the strategy as a "scam," and search for a new indicator or secret setup. Here is the cold, hard truth of institutional risk management: Accounts do not blow up because of bad trading strategies. They blow up because of poor capital allocation, asymmetric math, and emotional execution. 1. The Asymmetry of Loss (The Math That Destroys Accounts) $Micron Technology(MU)$ When you lose capital, the recovery work increases exponentially. Most new traders do not realize that drawdown math is not linear—it is severely stacked against you. If
$英伟达(NVDA)$ VERA RUBIN SUPPLY CHAIN Rubin is becoming a system-level buildout with rising content across memory, packaging, networking, power and cooling pushing the opportunity well beyond the GPU: • Memory sits with$美光科技(MU)$ ,$SK海力士(SKHY)$ & Samsung supplying the DRAM & HBM feeding Rubin accelerators while $闪迪(SNDK)$ adds exposure to storage layer around AI systems • Advanced packaging runs through$台积电(TSM)$ ,$艾马克技术公司(AMKR)$ &$
[RISK MANAGEMENT] The 1% Rule That Keeps You In The Game
Ask any funded prop trader or institutional desk manager what keeps them employed, and they won't point to a secret indicator or a 90% win-rate algorithm. They will point to a single survival constraint: The 1% Rule. Most retail traders trade based on conviction. When they "feel" a setup is guaranteed, they increase their risk to 5%, 10%, or even 20% of their account. A single unexpected news spike or liquidity sweep destroys weeks of progress. Trading isn't about being right on every trade it's about staying solvent long enough for your statistical edge to play out over hundreds of trades. The Power of Fixed-Percentage Sizing The core concept behind the 1% Rule is that your position size dynamically scales with your equity. As your account grows, your dollar risk increases. As your accoun
Stop Gambling In The Market: Use This Position Sizing Formula
Most traders don't blow up their accounts because of bad entry setups. They blow up because they trade arbitrary position sizes. If your strategy is to buy "100 shares" or "1 full lot" on every single trade regardless of where your stop-loss sits, you aren't trading—you are running a high-variance casino strategy. The Retail Trap: Fixed Sizing vs. Fixed Risk Here is how 90% of retail traders position size: Pick an entry price. Pick an arbitrary number of shares or contracts (e.g., "$5,000 worth"). Set a stop-loss wherever the chart "looks good." Why this leads to account blowups: If Trade A has a 2% stop-loss distance and Trade B has a 10% stop-loss distance, taking $5,000 position sizes on both means you are risking 5x more dollar value on Trade B. One bad volatile trade erases five good
[TECHNICAL] The Golden Rule of Survival: Master How to Calculate Your Position Size and Risk
Welcome to another essential technical breakdown. We keep getting great questions about "textbook plays" and the influence of sophisticated algorithms (algos) in modern trading. While algorithms are certainly smarter today, they still operate based on mathematical rules of risk, probability, and market structure. The absolute foundational rule that lets you survive long enough to even compete against those algos is known as The Golden Rule of Survival: Master Your Position Size. If you cannot calculate exactly what you stand to lose before you execute a trade, you are not trading; you are gambling. Here is the technical breakdown of how to size your positions correctly, step-by-step, complete with a clean visual example. The Difference Between Risk and Position Value The biggest technical
$Microsoft(MSFT)$ After breaking out from its last earnings, MSFT have been consolidating for 2 over weeks, which during these 2 weeks seem to be forming a CUP and handle chart. However there isn't a handle being form yet, or perhaps there won't be a handle and this action is going straight up with its current bullish momentum. Either way, technical is looking good. 👍
$SPY 20260828 773.0 CALL$ Today is a gambling day. The price movement is extraordinary. Thank you Warsh for the miracle. Lesson: check the financial calender before you trade. Market emotion is definitely something day traders want to avoid.
$SPY Rejects Sell Zone; $IREN $30 Becomes the Key Level
Hey everyone 👋 A few updates on the names I’m watching closely right now. The overall picture hasn’t changed much, but some levels are becoming increasingly important. 🎯 📉 $SPDR S&P 500 ETF Trust(SPY)$ — Still Bullish, But Watching September $SPY is currently rejecting right inside the Smart Money Sell Zone. I remain long-term bullish, but I’m still expecting a 2%–3% correction in September. For me, that doesn't change the bigger trend. I’m simply not interested in chasing strength when price is approaching an area where sellers have previously stepped in. ⚠️ $IREN Ltd(IREN)$ — $30 Is the Line in the Sand $IREN needs to hold $30. That level is important for two reasons: it’s the last major level on the
40 Stocks With the Strongest Weekly Moves Above $1B Market Cap
Hey everyone 👋 Here’s this week’s list of the 40 strongest-moving stocks with market caps above $1 billion, grouped by industry. The standout theme is software and infrastructure, with cybersecurity, cloud infrastructure and application software accounting for a large share of the list. Capital markets and precious-metals names also made a strong showing. 🔥 💻 Software & Infrastructure Software · Application $Bending Spoons S.p.A.(BSP)$$Webull Corp(BULL)$$Salesforce.com(CRM)$$Elastic N.V.(ESTC)$$Figma(FIG)$$FrogAds, Inc.(FROG)$
$AI Models Hit a Privacy Wall as Zero Data Retention Becomes a Buying Factor
FT recently dropped an article showing the spend split between different Anthropic models (indexed back to June). What was interesting about this chart (below) was that the recent growth across July wasn’t driven by Fable, but by Opus 5. Many people asked questions about this. Why isn’t Fable 5 driving more adoption? The overwhelming response to the question of “why has Fable 5 seen more lackluster adoption” was zero data retention (or ZDR). This topic has been front and center this summer. OpenAI wrote a blog post about it a few weeks ago. In my opinion, it’s becoming increasingly clear that users have a preference when it comes to data retention policies, and if you believe the majority of responses to Martin’s tweet, the labs have some decisions to make! So what is Zero Data Retention?
$SPX Slips as Warsh Turns Hawkish and Semis Break Down
In his first keynote address at the Jackson Hole Economic Policy Symposium, Federal Reserve Chairman Kevin Warsh delivered a hawkish tone centered heavily on price stability: Inflation Focus: Warsh stated that with the Fed’s preferred inflation gauge sitting at 3.7%, prices are running too far above the 2% target. He warned, “We must be confident that underlying inflation is moving to our objective, clearly and at sufficient speed. Otherwise, we have work to do.” Monetary Tool Reaffirmation: He clarified that short-term interest rates remain the Fed’s principal tool to combat price pressures, and noted he would be “hard pressed” to describe current financial conditions as restrictive. Limiting Forward Guidance: Warsh advocated for a “quieter” central bank that avoids overcommitting to futu
Hey Tigers 🐯 $S&P 500(.SPX)$ pushed into the key sell zone and was rejected, keeping the short-term bearish setup intact. The rebound retraced roughly 78.6% of the previous five-wave decline before forming a three-wave recovery into the Daily FVG resistance. Price has now reacted from that zone, leaving the bounce looking corrective rather than impulsive. The key level from here is 7,690. 📍 Daily close below 7,690 → bearish trigger If that level breaks on a closing basis, the setup points toward another leg lower, with the prior June all-time high acting as the first major downside reference. There is still room for one more push higher. The 7,750–7,775 area remains the main resistance zone, and another test could develop before sellers take c
Early yesterday morning, Nvidia released its latest earnings report. The stock surged immediately after the results came out, and the strong momentum continued into the regular trading session, with Nvidia jumping 8.74%. The rally also lifted the broader market and related ETFs.$英伟达(NVDA)$ So why was Nvidia’s earnings report powerful enough to lift the entire market? 1. The Leadership Effect Nvidia is the undisputed leader of the global semiconductor industry. Its market capitalization is around $5.5 trillion, roughly 2.5 times that of TSMC, the second-largest semiconductor company by market value. When an industry leader of this size posts strong earnings, the impact is rarely limited to the company itself. It can lift sentiment a
$NVIDIA(NVDA)$ call was strongly positive on demand, product ramps and strategic partnerships — record revenue ($96B), robust data center growth (+18% Q/Q), major customer commitments and rapid Vera Rubin production. At the same time, significant near-term operational headwinds persist: supply constraints limiting fulfilled demand, sharp memory price inflation pressuring gross margins, rising operating expenses, and sizable capital commitments to AI labs that increase balance-sheet exposure. Overall the company emphasized strong secular tailwinds and execution confidence while acknowledging margin and supply bottlenecks in the near term. IF YOU ALREADY OWN THE SHARES Strategy: Sell an Out-of-the-Money (OTM) Covered Call (selling the right for some
Geoff Howie: Frencken Announced Plans to Raise S$100 Million through a Placement
📈 The most interesting signal in July wasn't industrial production or exports. For me, it was the gap between orders and output. July's industrial production growth moderated even as electronics exports surged. Singapore's manufacturing PMI indicated that new orders expanded faster than output while inventories declined. Demand appeared to be running ahead of production, with declining inventories suggesting manufacturers may have been drawing down stock to help meet orders. When order books expand faster than production, companies often need to invest ahead of revenue realisation. Capacity, equipment and working capital typically have to come first.Frencken $Frencken(E28.SI)$ has just announced plans to raise S$100 million through a placement