$Palantir (PLTR.US)$ $Netflix (NFLX.US)$   $ProShares UltraPro QQQ ETF (TQQQ.US)$   $Broadcom (AVGO.US)$   $HubSpot (HUBS.US)$
📢 Python automated trading strategy issued bearish signals today (February 11)!
🎯 Target symbols: PLTR, NFLX, HUBS, TQQQ, AVGO
💡 Why bearish? Data doesn't lie, the market sentiment has changed!
📊 Through rigorous calculations of Hurst index, Ulcer Index, Sortino Ratio, Bollinger Bands, and other technical indicators, the Algo system has detected an increase in market risk, with the possibility of short-term adjustment in some individual stocks!
🚨 Signal Interpretation:
✅ PLTR — Momentum decelerating, Technical Indicator suggests that the short-term uptrend may slow down
✅ NFLX — Increasing retracement risk, short-term volatility may intensify
✅ HUBS — Clear signs of fund outflow, bearish momentum strengthening
✅ TQQQ —— Overbought signal triggered, high volatility variety be cautious of pullback
✅ AVGO —— Reached key resistance level, cautious of retracement confirmation
📉 Market direction changes quickly, Algo strategy remains calm and observant, no emotional decisions! Once the trend changes...

$Tesla (TSLA.US)$
Listen up, all the wolves in the trading arena! 🐺🚀 TSLA, the beast that captivates Wall Street, some fear its volatility, some fantasize about getting rich overnight, but only true hunters can strike accurately. And my Python Algo strategy? It never hesitates, never lets emotions get in the way, it only follows the data, only executes the most lethal buy and sell signals!
Look at this backtest result, every Buy, hitting the market panic bottom accurately, every Sell, the best time to harvest profits! 💰📈 People always say TSLA is hard to predict, but here, it's like an open book to me, every price fluctuation is under my Indicators' control!
Hurst Index tells me the trend, Ulcer Index controls the risk, Sortino Ratio filters market noise, and what about Bollinger Bands? It allows me to accurately lock in entry and exit points. This is not trading by gut feeling, but by cold, ruthless data-driven decisions! 🔥
No new Buy signals have been issued recently, but opportunities are always reserved for the prepared. 🚀 When the signal comes, smart people know what to do, don't say I didn't remind you!

📌 February 4, 2025 | Palantir Algo Trading backtest analysis
💡 Palantir (Palantir) three-year Algo Trading backtest once again confirmed the effectiveness of the strategy!
📊 Python automated trading analysis shows - the Buy point is always below the next Sell point, accurately capturing market rhythm!
📈 The most recent strong buy signal appeared on January 14, 2025, don't blame me for not reminding you next time! 🚀 $Palantir (PLTR.US)$
📊 Review of key data
📆 backtest period: 2023-2025
Buy points are lower than sell points - each time you buy, the market will see higher selling points, precise trading pace!
Excellent drawdown control - the system can avoid significant pullbacks, ensuring fund safety!
Strong trend sustainability - dare to charge in a bull market, stay stable in a fluctuating market, the system always finds suitable trading opportunities!
Secret Weapon of Python Algo Strategy
This trading system is based on a variety of advanced Indicators to ensure the accuracy of buy and sell signals:
✔️ Hurst Index - determine whether the market is trending or oscillating to avoid chasing highs and selling lows
✔️ Ulcer Index - measure the 'pain index' of drawdown, reducing capital drawdowns in trading
✔️ Sortino Ratio (Sotino Ratio) - Optimize trading revenue...

$Tesla (TSLA.US)$ 406 pressure can't go up, the opportunity for short-term trading is coming again.

$SEALSQ Corp (LAES.US)$
Exciting moment! Laes quantum chip rocket satellite successfully launched! Launch site! Stay up all night! Take a look quickly!

$SEALSQ Corp (LAES.US)$ Night trading

$NVIDIA (NVDA.US)$
Patience is key.

$Advanced Micro Devices (AMD.US)$ Nvidia is like an old lady on the streets of the USA, if she falls down, someone will immediately come over to help her up and take her to the Hospital.
AMD is like an old lady on the streets of India, if she falls down, that's it, she can't get up, she's dead, but not completely dead.