Write Your First Pine Script Strategy in AlsaTrade

AlsaTrade includes a full Pine Script IDE — you can write strategies, backtest them against historical data, and deploy them for live auto-execution. No need to switch between TradingView and your trading platform.

This tutorial walks you through creating a simple SMA crossover strategy from scratch.

What You’ll Build

A moving average crossover strategy that:

• Buys when the fast SMA (10-period) crosses above the slow SMA (50-period)
• Sells when the fast SMA crosses below the slow SMA
• Uses percentage-based position sizing (10% of balance per trade)

Step 1: Open the Pine Script IDE

Navigate to the Pine Script section in AlsaTrade. You’ll see the Monaco-based code editor with syntax highlighting, auto-completion, and error detection.

Step 2: Write the Strategy

Here’s the complete Pine Script for our crossover strategy:

//@version=5
strategy("SMA Crossover", overlay=true)

// Inputs
fastLength = input.int(10, "Fast SMA Length", minval=1)
slowLength = input.int(50, "Slow SMA Length", minval=1)

// Calculate indicators
fastSMA = ta.sma(close, fastLength)
slowSMA = ta.sma(close, slowLength)

// Plot on chart
plot(fastSMA, "Fast SMA", color=color.green)
plot(slowSMA, "Slow SMA", color=color.red)

// Entry conditions
longCondition = ta.crossover(fastSMA, slowSMA)
shortCondition = ta.crossunder(fastSMA, slowSMA)

// Execute trades
if longCondition
    strategy.entry("Long", strategy.long)

if shortCondition
    strategy.close("Long")

Paste this into the editor. You should see the syntax highlighting activate immediately — keywords in blue, strings in green, numbers in orange.

Step 3: Validate

Click the Validate button in the toolbar. AlsaTrade’s Pine parser checks your script for syntax errors and unsupported functions. You’ll see a green checkmark if everything is valid.

The IDE supports 17 built-in indicators: SMA, EMA, RSI, MACD, Bollinger Bands, SuperTrend, ATR, Stochastic, ADX, VWAP, CCI, MFI, Williams %R, Ichimoku, and crossover/crossunder conditions.

Step 4: Backtest

Click Run Backtest and configure:

• Symbol: BTCUSDT
• Timeframe: 1H (1 hour)
• Period: Last 6 months
• Initial capital: $10,000
• Position size: 10% of balance

The backtesting engine runs your strategy against historical data and generates:

• Equity curve: Visual chart of your portfolio value over time
• Trade list: Every entry and exit with prices, P&L, and duration
• Performance metrics: Win rate, Sharpe ratio, max drawdown, profit factor

Reading Backtest Results

Key metrics to evaluate:

Metric	What It Tells You
Win Rate	Percentage of profitable trades
Profit Factor	Gross profit / gross loss (above 1.0 = profitable)
Max Drawdown	Largest peak-to-trough decline
Sharpe Ratio	Risk-adjusted return (above 1.0 is acceptable, above 2.0 is good)
Calmar Ratio	Annual return / max drawdown

Step 5: Optimize (Optional)

If your initial results are promising, use the Parameter Optimizer to find better inputs:

1. Set ranges for your parameters (e.g., fast SMA from 5 to 20, slow SMA from 30 to 100)
2. Run the grid search optimization
3. View the Optimization Heatmap to see which parameter combinations perform best
4. Select the best parameters and re-run the backtest

A word of caution: Over-optimization leads to curve-fitting. Always validate optimized parameters with Walk-Forward Analysis — this splits your data into in-sample (training) and out-of-sample (testing) periods to detect overfitting.

Step 6: Deploy for Live Trading

Once you’re satisfied with backtest results:

1. Click Create Trigger in the Pine Trigger Panel
2. Select your exchange (Binance, Bybit, or Alpaca)
3. Configure position sizing and the trading pair
4. Enable Auto-Execute

Your strategy now runs continuously. When the SMA crossover condition is met on live market data, AlsaTrade executes the trade on your exchange account automatically.

Step 7: Monitor

The Signals panel shows every signal your strategy generates:

• Signal type (entry/exit)
• Timestamp
• Execution status (pending, executed, failed)
• Exchange order ID and fill price

You can pause or stop your strategy at any time without losing the configuration.

Next Steps

Once you’re comfortable with simple crossovers, try:

• Adding RSI confirmation: Only enter when RSI is below 30 (oversold) for longs
• Multiple timeframes: Use higher-timeframe trend direction to filter signals
• Stop-loss and take-profit: Add risk management rules directly in your Pine Script
• Monte Carlo simulation: Run 1,000 simulated equity paths to understand the probability distribution of your strategy’s returns

The Pine Script IDE gives you a complete workflow — from idea to backtest to live execution — all within AlsaTrade.