Devin Blundy

Qalinle Ibrahm abducted a 12 year old in Minnesota and r*ped her St. Paul IsIamic Center wrote a letter of community support, saying he has not "assimilated into non-Somali culture"

Most people imagine the stock market is a battle between Bulls and "Bears." In reality, it is mostly a battle between Biologic Intelligence (Humans) and Silicon Intelligence (Algos). And here is the uncomfortable truth: You are bringing a knife to a gunfight. ~70-80% of all trading volume is now automated. Here is the breakdown of the Invisible War happening in the order book every single day. What the algos are doing When you hit buy, you aren't just buying a stock. You are stepping into an arena filled with four distinct types of predatory algorithms. The Speed Demons: High-Frequency Traders (HFTs) These are the most famous "Flash Boys." They don't care about earnings, management, or product. They care about latency (speed).  They act as market makers, placing millions of buy and sell limit orders to capture the tiny spread. They flood the exchange with thousands of orders and cancel them milliseconds later, creating noise to confuse competitors and slow down the exchange feeds for everyone else, giving them a microsecond advantage. Execution Algos (VWAP/TWAP) When a massive hedge fund wants to buy $500M of Apple, they can't just hit Buy or the price would skyrocket. They use execution algos to hide their footprints. They slice a massive order into thousands of tiny, random chunks to disguise it as retail noise. They show only 100 shares on the visible order book, but under the water, there are 100,000 shares waiting to be filled. Predatory HFTs try to ping these icebergs—buying small amounts to see if there is a hidden whale behind the order, then front-running it. Sentiment Analysis Bots (NLP) These algos don't read charts; they read language. They scrape Twitter/X, Reddit, Bloomberg headlines, and earnings call transcripts in real-time.  They use Natural Language Processing (NLP) to assign a sentiment score to a piece of news.  The Danger is they lack context. In 2013, the AP Twitter account was hacked and tweeted "Explosions at White House." Sentiment algos read "Explosions" + "White House," panicked, and instantly wiped $136 billion off the S&P 500 in seconds. Humans realized it was fake minutes later, but the machines had already sold. Statistical Arbitrage These algos look for relationships that are mathematically broken. If a stock usually moves in 95% correlation with another, and suddenly stock A goes up but stock B stays flat, the algo will Short A and Buy B, betting the spread will close. They don't know why the prices diverged; they just know the math says it will revert to the mean. Where You Still Win If algos are faster, unemotional, and never sleep, why do humans still trade? Because algos have a fatal flaw: They are rigid. Context is KingS An algo sees a number; a human sees a story. Example: A CEO resigns. Algo: Sees Resignation Negative Sentiment. SELL. Human: Knows the CEO was incompetent and holding the company back. This is actually good news. BUY. You can profit from the immediate, wrong knee-jerk reaction of the machines. Black Swan Flexibility Algos are trained on historical data. They are terrible at handling things that have never happened before (like a global pandemic shutdown or a specific geopolitical crisis). When the inputs don't match their training models, algos often simply shut down or liquidate everything (risk-off), causing massive opportunities for humans who can assess the actual structural damage.  The Time Horizon Advantage Algos are obsessed with the micro-now. Most are trying to win the next minute or hour. They cannot imagine where a company will be in 5 years. You don't have to beat the HFTs at speed. You just have to be willing to hold a thesis longer than their code allows them to. Do you use any automated rules in your trading, or are you 100% manual?

White people are on the verge of extinction Global population of white people: 100 years ago roughly 35% 50 years ago roughly 20% 25 years ago 15% Today just 8% White people are the minorities and must take their countries back. No more tolerance. No more suicidal empathy