Systematic Trading,
Automated & Scaled.
Engineered by
Quant Researchers
Designed for
Retail Algo Traders
import algofarmer as af
# Initialize connection to market data
client = af.Client(api_key="env.ALGO_KEY")
def on_tick(data):
if data.signal == "BUY":
client.orders.market_buy(
symbol=data.ticker,
qty=100
)
[SYSTEM] Listening for webhooks on port 8080...
_
Institutional-Grade Infrastructure
Built from the ground up for quantitative researchers and systematic traders who demand absolute precision.
Ultra-Low Latency
Colocated servers in major financial hubs ensure your orders reach the matching engine before the competition.
Advanced Backtesting
Simulate years of historical tick data in seconds using our distributed computing cluster and accurate slippage models.
Pre-Trade Risk Checks
Hardware-accelerated risk management layers prevent fat-finger errors and strategy runaway without adding latency.
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