Alric
AS EASY AS HAVING A CONVERSATION

FROM IDEA TO LIVE BOT
IN 3 SIMPLE STEPS

Building automated trading strategies has never been this simple. No coding experience required. Just describe what you want in plain English, and Alric handles everything else.

3
Steps to Deploy
0
Lines of Code Written
<5
Minutes to First Bot
100%
Production Ready

It's Literally This Simple

If you can describe your trading strategy in a conversation, you can build it with Alric. No programming knowledge. No infrastructure setup. No complicated tutorials.

STEP 1 · 2 MINUTES

Chat With AI About Your Strategy

Just talk to Alric's AI like you're explaining your strategy to a friend. No technical jargon required.

You

"I want to buy Bitcoin when the RSI drops below 30 and the price is above the 50-day moving average. Sell when RSI goes above 70. Keep position sizes small, no more than 5% of my portfolio."

"Got it! I'll create a strategy that monitors RSI and moving averages, buys on oversold conditions when price is in an uptrend, and sells on overbought signals. I'll cap position sizes at 5% with built-in risk management. Would you like me to add stop-loss protection?"

Plain English
No coding required
Interactive
AI asks clarifying questions
Instant Feedback
See code generation in real-time
STEP 2 · 1 MINUTE

AI Generates Production-Ready Code

Alric automatically converts your conversation into a complete trading bot compatible with our HFT infrastructure. Review the code or just hit deploy – it's ready to go.

class TradingStrategy:
    def __init__(self, config):
        self.rsi_oversold = 30
        self.rsi_overbought = 70
        self.max_position_pct = 0.05

    def should_buy(self, context) -> dict:
        rsi = context.indicators.rsi
        sma_50 = context.indicators.sma_50
        price = context.current_data.price

        # Buy when oversold AND price above 50-day MA
        if rsi < self.rsi_oversold and price > sma_50:
            return {
                'should_trade': True,
                'quantity': self._calculate_position_size(context),
                'confidence': 0.85,
                'reasoning': f'RSI oversold ({rsi:.1f}) + bullish trend'
            }

        return {'should_trade': False}

    def should_sell(self, context) -> dict:
        # Sell when overbought
        if context.indicators.rsi > self.rsi_overbought:
            return {
                'should_trade': True,
                'quantity': context.portfolio.position_size,
                'confidence': 0.80,
                'reasoning': 'RSI overbought - taking profits'
            }

        return {'should_trade': False}
Professional Quality
Battle-tested patterns
Fully Documented
Clear explanations included
Editable
Customize anytime
STEP 3 · 30 SECONDS

One-Click Deploy to Live Trading

Connect your exchange API keys, select your trading pair, and hit deploy. Your bot goes live on our HFT infrastructure in seconds.

Binance Futures
BTC/USDT
$10,000 USDT
Auto-Configured
Risk settings included
Encrypted Keys
Bank-grade security
Instant Live
Trading in <30 seconds

That's It. Seriously.

Three simple steps. Less than 5 minutes total. Your trading bot is live and making decisions on our institutional-grade HFT infrastructure.