AI-native trading · Self-coded bots

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my_bot_v2.py 
from nexabot import Strategy, Market
import numpy as np

class MomentumRSI(Strategy):
    def on_tick(self, data):
        rsi = self.rsi(data.close, 14)
        if rsi < 30 and self.position == 0:
            self.buy(amount=0.05, sl=0.97)
        elif rsi > 70:
            self.sell()
            
robot = MomentumRSI(exchange="binance")
robot.run(pair="ETH/USDT", interval="5m")
Self-crafted intelligence
Code your own logic or use drag-and-drop modules — full control, no black boxes.

Build your bot

Python/JS SDK, RESTful API, or visual flow editor. Import custom indicators, ML models, and signals.

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15+ exchanges API

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Live robot preview: "AI_MeanReversion" ACTIVE
📈 Win rate: 68.4% ⚡ Trades: 1,342 💰 ROI: +34.2% (30d)
> Latest signal: BTC/USDT | RSI divergence detected -> LONG executed at $67,420
Autonomous · last action 2s ago
Three steps to autonomous profits
From your algorithm to live crypto markets — fast, secure, transparent.
1

Code or design

Use Python, Node or visual blocks to define entry/exit rules

2

Backtest & validate

Simulate years of data, stress-test with Monte Carlo, refine logic

3

Deploy & earn

Go live with one click, robots execute 24/7. Monitor dashboard & sleep well.

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