Lmst

#algorithmictrading

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The Unexpected Profitability of Adaptive Local Linear Regression in Short-Term Trend-Following Strategies of Growth Stocks

Bias-Free Expanding-Window Linear Regression: Backtesting and Out-of-Sample (OOS) Palantir (PLTR) Risk-Adjusted Returns

#exploremore 📈
If you don’t have a Medium membership, you can check it out for free right here: 👇
https://medium.com/@alexzap922/the-unexpected-profitability-of-adaptive-local-linear-regression-in-short-term-trend-following-8f5643b3df96?sk=819d5176d1b06c00ce9e48704667a9be

The Unexpected Profitability of Adaptive Local Linear Regression in Short-Term Trend-Following Strategies of Growth Stocks

Discovering Profitable Algorithmic Trading Strategies in Python Using Bias-Free Expanding-Window Linear Regression: Backtesting and Out-of-Sample (OOS) Evaluation of Palantir (PLTR) Risk-Adjusted Returns

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South Korea’s banks are racing to digitalize FX dealing rooms and upgrade IT systems ahead of July’s 24-hour market launch, but staffing and system challenges remain as regulators push for global standards and full automation.
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https://en.infomaxai.com/news/articleView.html?idxno=103259

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Trading Signal Series #4: How to Run a Daily Signal Report (Automation) — Python Solution

Research is not enough—you need a repeatable daily run.

This post shows how to generate a daily decision report you can schedule, audit, and share (logs, outputs, and simple failure checks).

:medium: https://medium.com/activated-thinker/trading-signal-series-4-how-to-run-a-daily-signal-report-automation-python-solution-28c086aa51a2

#Python #Automation #Quant #AlgorithmicTrading #DataEngineering #ai

@ai @programming @markets @socialsciences @towardsdatascience @pythonclcoding

Trading Signal Series #3: How to Set Trading Thresholds — Python Solution

This post shows how to choose thresholds that account for turnover, slippage, and costs—so the edge survives real trading.

:medium: https://medium.com/write-a-catalyst/trading-signal-series-3-how-to-set-trading-thresholds-python-solution-9249ec9dd17f

#AlgorithmicTrading #Quant #Python #Backtesting #Finance #ai #programming #market

@ai @socialsciences @markets @programming @pythonclcoding @towardsdatascience

Trading Signal Series #2: How to Check Signal Stability — Python Solution

This post shows how to test stability across time, regimes, and parameter choices—using simple Python checks and clear outputs.

:medium: https://medium.com/towards-artificial-intelligence/trading-signal-series-2-how-to-check-signal-stability-python-solution-ed0937e8ea71

#Quant #AlgorithmicTrading #Python #TimeSeries #Backtesting #ai #market

@ai @programming @socialsciences @markets @towardsdatascience @pythonclcoding @Mastodon @medium

1/ 📈 Quantum Supremacy in Quant Finance: The 2026 Shift

Quantum computing is no longer theoretical—it’s the new baseline for alpha. As 2026 kicks off, the shift to quantum-enhanced machine learning (QEML) is accelerating. #QuantFinance #QuantumComputing

2/ Classical Monte Carlo simulations struggle with high-dimensional problems. Quantum algorithms like QAOA are now delivering real-world speedups in derivative pricing and portfolio optimization. #FinTech #AlgorithmicTrading #AI2026 📈

Tôi đã công bố tài liệu thiết kế chi tiết cho nền tảng giao dịch thuật toán bằng Rust. Bất kỳ ai quan tâm đều có thể đặt câu hỏi để thảo luận! #Rust #AlgorithmicTrading #Tech #LậpTrình #GiaoDịchThuậtToán #CôngNghệ #Programming 🚀

https://nexustrade.io/blog/building-a-lightning-fast-highly-configurable-rust-based-backtesting-system-20260119

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#CryptoTradingBots #AlgorithmicTrading #BlockchainDevelopment

🔧 Xây dựng hệ thống giao dịch thuật toán không mã cực nhanh bằng Rust: Xử lý 10 năm dữ liệu phút trong 30 ms, nhanh hơn LEAN. Hệ thống dùng DSL (điều kiện + hành động) cho mọi chiến lược, hỗ trợ LLM tăng tốc iterating. Dành cho người quan tâm tối ưu hiệu năng, thiết kế hệ thống, Rust. #Rust #AlgorithmicTrading #Backtesting #NoCode #LậpTrình #GiaoDịch #CôngNghệ

https://www.reddit.com/r/programming/comments/1qh8kka/building_a_lightningfast_nocode_algorithmic/

#IBM Spectrum #Symphony and Quantum Machine Learning: Bringing Quantum Computing to the Enterprise https://community.ibm.com/community/user/blogs/kevin-d-johnson/2026/01/12/ibm-spectrum-symphony-and-quantum-machine-learning #QuantumComputing #QuantumMachineLearning #Qiskit #QML #FinTech #AlgorithmicTrading #MachineLearning #GPU #HPC #IBMQuantum

Market timing is hard in forex. Our precision-built Forex Bot trades automatically using live data and trends, works 24/7, removes emotional errors, and helps you trade with confidence. Powered by Beleaf Technologies for accurate, automated trading.

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Quantitative AI Trading: Transforming the Future of Financial Markets

Discover how modern trading is evolving with the rise of quantitative AI trading. By leveraging advanced AI algorithms, traders and institutions can build smarter strategies, enhance market forecasting, and make more informed, data-driven financial decisions.

#QuantitativeTrading #AITrading #AlgorithmicTrading #AIFinance #FinTech #MachineLearning #DeepLearning #TradingAlgorithms

🥇 NinjaTrader Robot GoldHunter 🥷

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This advanced algorithm is built for traders who demand accuracy, speed, and consistency.
Every trade is backed by smart risk management — including stop loss, take profit, break-even, and dynamic trailing stop features.

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The biggest risk is that the correlation breaks down. One stock might not catch up to the others. That is why the automatic stop loss is critical. It gets you out before a small loss becomes a big one.

This method lets your computer handle the complex watching so you can focus on improving the rules.

#AlgorithmicTrading #StockCorrelations #TradingTips #RiskManagement #LearnTrading #SwingTrading #TradingPsychology #TradingCommunity #ConsistentProfits #TradeSmart (5/5)