Introduction to Algorithmic Trading with AI

The intersection of artificial intelligence and algorithmic trading represents one of the most significant shifts in financial markets since electronic trading replaced open outcry.

Why AI Changes Everything

Traditional algorithmic trading relies on hand-coded rules: if price crosses above the 50-day moving average, buy. If RSI exceeds 70, sell. These rules are rigid, brittle, and quickly arbitraged away once discovered by competitors.

AI-powered trading strategies operate differently. Instead of following predetermined rules, they learn patterns from data, adapt to changing market conditions, and discover edges that human traders might never identify.

The Conquest Approach

At Conquest Markets, we've built our platform around three core principles:

1. Natural Language Strategy Design — Describe what you want in plain English. Our AI translates your thesis into executable code.
2. Rigorous Backtesting — Every strategy runs against decades of historical data with realistic slippage, commission, and market impact modeling.
3. Walk-Forward Validation — Out-of-sample testing ensures your strategy works in conditions it hasn't seen before.

Getting Started

The fastest way to experience AI-powered trading is to launch our terminal and describe a strategy idea. The AI will generate the code, run the backtest, and present the results — all in under 60 seconds.

# Example: Mean reversion strategy on SPY
strategy = conquest.create(
  description="Buy SPY when RSI drops below 30, sell when it returns above 50",
  universe=["SPY"],
  timeframe="2015-2026"
)

results = strategy.backtest()
print(results.summary())

The future of trading isn't about faster computers or more complex rules. It's about smarter algorithms that learn, adapt, and compound your edge over time.