Data Analyst
(Trader at heart)
We are building the "Cheat Code" for data-driven traders.
Come help us break the market.
👋 The Context
The modern retail traders is drowning in noise. They lack a structured, hierarchical approach to processing scattered information. Instead of analyzing raw exchange data and reports, they rely on "guru" opinions. Why? Because there is simply no time and lack of expertise. The FOMO and the rush to enter the market leaves no room for gathering valid statistics.
But at ClashCharts, we set ourselves an ambitious goal replaces market uncertainty with a unified decision ecosystem. We utilize data-driven modeling to bring order to the chaos of trading. Your mission? To dig deep into market data, test bold hypotheses, and extract the hidden causal relationships that drive market price action.
const dataset = load_exchange_data("XAUUSD", "TICK_LEVEL");
const model = build_causality_model({
data: dataset,
event_trigger: "XAU > Forecast",
look_ahead: "60_MIN"
});
// Identify non-obvious correlations
return model.find_hidden_patterns();
🧠 What we're looking for
- Curiosity over Diploma. We don't care if you have a PhD. We care if you've ever stared at a chart wondering "Why did price spike up before going down?"
- Data Fluency. You know your way around numbers. Maybe you use Python, maybe you're a god of Excel, or maybe you use R. The tool doesn't matter, the logic does.
- Trading Knowledge. You know what "Option Flow", "COT reports", and "Liquidity" mean. You understand that the market isn't always rational.
- Detective Mindset. You love finding patterns that others miss.
