#!meta

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#!csharp

// Reference the library
#r "..\..\bin\QuanTAlib.dll"

using QuanTAlib;
using System.IO;

// 1. Setup: Use existing CSV file
// CsvFeed expects a CSV with header: timestamp,open,high,low,close,volume
// Timestamp format: YYYY-MM-DD

string csvPath = "daily_IBM.csv";
Console.WriteLine($"Using CSV file: {csvPath}");

#!csharp

// 2. Initialize CsvFeed
// The feed loads the data and prepares it for streaming

var feed = new CsvFeed(csvPath);
Console.WriteLine("CsvFeed initialized.");

#!csharp

// 3. Streaming Data
// Simulate processing historical data bar by bar

Console.WriteLine("\nStreaming data (first 5 bars):");
int count = 0;
bool isNew = true;

// Get first bar
var bar = feed.Next(isNew: true);

while (isNew && count < 5)
{
    count++;
    Console.WriteLine($"  Bar {count}: {bar}");
    
    // Get next bar
    bar = feed.Next(ref isNew);
}

Console.WriteLine($"Streamed {count} bars.");

#!csharp

// 4. Batch Fetching
// Retrieve a specific range of data

Console.WriteLine("\nBatch fetching:");
// Using a date range present in daily_IBM.csv (July 2025)
long startTime = new DateTime(2025, 7, 8).Ticks;
var interval = TimeSpan.FromDays(1);

// Fetch 3 bars starting from July 8th, 2025
var batch = feed.Fetch(5, startTime, interval);

Console.WriteLine($"Fetched {batch.Count} bars:");
foreach (var b in batch)
{
    Console.WriteLine($"  {b}");
}