A data-driven, transparent execution log of an engineer transitioning from writing backend microservices to managing market risk. No hindsight bias, just systems and statistics.
Custom production environments engineered to manage intra-day risk execution.
Radical transparency in action. A live performance dashboard displaying unedited trade metrics, execution targets, and systematic performance data straight from the terminal.
Removing cognitive load during active execution. A high-speed math block interface designed to calculate optimal risk variables instantly and process one-click scaling entries seamlessly.
Rules that dictate execution strategy over retail market sentiment.
Position sizes are calculated precisely against clear invalidation points before any capital enters the market.
Bypassing the high-frequency micro-noise of standard intraday charts to build alpha on higher probability structural intervals.
Letting mathematical volatility anchor structural boundaries instead of arbitrary percentage drop points or emotional panic.
Specializing strictly in catching over-extended allocations and optimizing short distributions over traditional long-only biases.
As a backend developer, I spent my career architecture-testing systems to guarantee predictive scale. When I stepped into live markets, I quickly realized most standard educational spaces treat trading like a lottery instead of a structured probability challenge.
Candles Before Cubicles documents that exact structural pivot. I treat the market terminal as a raw computation environment—using technical precision, algorithmic parameters, and rule-based entries to transition cleanly out of the corporate 9-to-5 loop.
{
"strategy": "Intraday Trend Shorting",
"base_interval": "10_Minute_Chart",
"risk_per_trade_pct": 1.0,
"stop_mechanism": "ATR_Volatility_Derived",
"execution_friction": "Eliminated_Via_TradeAssistant",
"transparency_ledger": "Live_TraderEye_Sync"
}
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