InCoding NexusbyAlgo Insights·9h agoQuantJourney Backtester: A Python-Native Engine for Building and Testing Trading StrategiesMost trading strategies look good on paper. You come up with an idea, write a few lines of Python, test it against historical market data…
InCoinmonksbyTigro Blanc·Oct 17Mining Losses, Harvesting Funding: Two Quant Strategies on PapertradePAPER hedge mining and Hyperliquid funding carry — settlement mathematics, token economics, execution risk, and the limits of…
Unicorn Day·Oct 15Cracking Market Regimes: How to Use the Rolling Hurst Exponent to Stop Fighting the TrendMarkets are living, breathing ecosystems that constantly shift their skin. One month, a stock marches upward in a fierce, disciplined…A response icon1A response icon1
Unicorn Day·Oct 14Unveiling Hidden Market Shifts: Multi-Timeframe Trend Analysis with the Mann-Kendall TestTraditional moving averages often lie to us. A stock can look like it’s in a steady long-term decline while staging a violent…A response icon1A response icon1
Ridge Dela Torjagbo·Oct 8BUILDING AN INSTITUTIONAL-GRADE QUANT TRADING ALGORITHM FROM SCRATCHBuilding Mathematical Algorithm Risk System: What It Actually Takes to Build a Quant Trading System From ScratchA response icon1A response icon1
Dheeraj Othalasseril·Oct 55-Indicator Setup : The Perfect Entry??An honest note: I haven’t tested this yet
Unicorn Day·Sep 24I Thought Laya Was Just Another AI Model… Then I Realized It’s a Decision EngineA few weeks ago, I stumbled across a project called Laya.A response icon2A response icon2
Luoyelittledream·Sep 23No Explanations, Just Decisions: Plugging Jev into a Perpetual Strategy — Run It First, Talk LaterLast year, when Alpha Arena was making the rounds, several AI models were put into live trading environments, and every gain or loss…A response icon2A response icon2
