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Pyvorin for Quantitative Trading
Accelerate backtesting, signal generation, and execution algorithms.
Published May 30, 2026
Backtesting at Scale
Quantitative trading firms run millions of backtests to validate strategies. Pyvorin compiles the inner simulation loop, reducing backtest time from hours to minutes.
def backtest_strategy(prices, signals):
pnl = 0.0
position = 0
for i in range(1, len(prices)):
if signals[i] == 1 and position == 0:
position = 1
entry = prices[i]
elif signals[i] == -1 and position == 1:
pnl += prices[i] - entry
position = 0
return pnl
Signal Generation
Technical indicators like RSI, MACD, and Bollinger Bands benefit from loop compilation.
Execution Algorithms
Real-time order slicing and smart order routing require microsecond-level decisions. Compile the decision logic for consistent low latency.