Getting Started3 min read

Quick Start Guide

Build your first automated trading strategy in under 10 minutes. No coding from scratch required.

Tutorial

Your First Trading Bot

Follow this step-by-step guide to create, backtest, and deploy an RSI-based trading strategy. We'll cover everything from account setup to live monitoring.

Open Platform Overview

Prerequisites

Before you begin, you'll need:

Vantixs Account

Free tier works perfectly for this tutorial

Exchange Account

Binance, Coinbase, or any supported exchange

API Keys

Read-only keys for paper trading (we'll configure these)

Build Your Strategy

Step-by-Step Guide

1

Create a New Strategy

Click "New Strategy" in the dashboard. Name it "My First Bot" and select BTC/USDT on the 1-hour timeframe.

Dashboard → New Strategy → Configure
2

Add Price Data Node

From the Data Source category, drag an OHLCV Data node onto the canvas. Configure it for BTC/USDT on Binance.

Data Source → OHLCV Data → Configure Symbol
3

Add RSI Indicator

Drag an RSI node from Indicators. Connect the OHLCV Data output to RSI input. Set Period: 14.

Indicators → RSI → Connect & Configure
4

Add Crossover Detection

Drag an RSI Crossover node from Technical. Connect RSI output to it. Set Overbought: 70, Oversold: 30. This produces buy/sell signals when RSI crosses these thresholds.

Technical → RSI Crossover → Configure Thresholds
5

Add Signal to Order

From Execution, add a Signal to Order node. Connect the crossover signal output to it. Configure position sizing (e.g., 10% of account per trade).

Execution → Signal to Order → Set Size
6

Run Backtest

Click Backtest (Ctrl+B), select the last 6 months, and analyze results: total return, win rate, max drawdown, Sharpe ratio.

Toolbar → Backtest → Analyze Results
7

Paper Trade

Start paper trading with $10,000 virtual capital. Monitor for 1-2 weeks before going live.

Toolbar → Paper Trade → Monitor
8

Go Live (Optional)

When confident, add trading API keys, set risk limits, and deploy your strategy.

Settings → API Keys → Deploy

Understanding Your Results

After backtesting, you'll see key metrics:

MetricWhat It MeansGood Value
Total ReturnOverall profit/loss percentage> 20% annually
Win RatePercentage of profitable trades> 50%
Max DrawdownLargest peak-to-trough decline< 20%
Sharpe RatioRisk-adjusted return> 1.5
Profit FactorGross profit / Gross loss> 1.5
Pro Tip

Don't chase the highest returns. Focus on consistent performance with manageable drawdowns.

Next Steps