Revonzy Mini Shell

<?php

/**
 * EMA Crossing Strategy
 *
 * This code uses the Exponential Moving Average (EMA) indicator to identify potential buy and sell signals in a share market.
 *
 * The EMA crossing strategy is based on the idea that when the short-term EMA crosses above the long-term EMA, it is a signal to buy.
 * Conversely, when the short-term EMA crosses below the long-term EMA, it is a signal to sell.
 *
 * This is a simple and effective strategy that can be used to identify potential trading opportunities.
 *
 * @param array $data An array of share market data
 * @return array An array of buy and sell signals
 */
 /*
function emaCrossingStrategy($data) {
    // Get the closing prices
    $closingPrices = array_column($data, 'Close');

    // Calculate the short-term EMA
    $shortTermEMA = ema($closingPrices, 3);

    // Calculate the long-term EMA
    $longTermEMA = ema($closingPrices, 30);

    // Initialize the buy and sell signals array
    $signals = [];

    // Loop through the data
    for ($i = 0; $i < count($data); $i++) {
        // Check if the short-term EMA has crossed above the long-term EMA
        if ($shortTermEMA[$i] > $longTermEMA[$i]) {
            // If it has, add a buy signal to the array
            $signals[] = [
                'signal' => 'buy',
                'date' => $data[$i]['Date'],
                'price' => $closingPrices[$i]
            ];
        }

        // Check if the short-term EMA has crossed below the long-term EMA
        if ($shortTermEMA[$i] < $longTermEMA[$i]) {
            // If it has, add a sell signal to the array
            $signals[] = [
                'signal' => 'sell',
                'date' => $data[$i]['Date'],
                'price' => $closingPrices[$i]
            ];
        }
    }

    // Return the buy and sell signals
    return $signals;
}


function ema($data, $period) {
    // Initialize the EMA values array
    $emaValues = [];

    // Calculate the initial EMA value
    $emaValues[0] = array_sum($data) / $period;

    // Calculate the subsequent EMA values
    for ($i = 1; $i < count($data); $i++) {
        $emaValues[$i] = (($data[$i] - $emaValues[$i - 1]) * 2 / $period) + $emaValues[$i - 1];
    }

    // Return the EMA values
    return $emaValues;
}

// Sample data
$data = [
    [
        'Date' => '2023-11-14',
        'Close' => 100.00
    ],
    [
        'Date' => '2023-11-15',
        'Close' => 102.00
    ],
    [
        'Date' => '2023-11-16',
        'Close' => 104.00
    ],
    [
        'Date' => '2023-11-17',
        'Close' => 103.00
    ],
    [
        'Date' => '2023-11-18',
        'Close' => 101.00
    ],
    [
        'Date' => '2023-11-19',
        'Close' => 99.00
    ]
];

// Get the buy and sell signals
$signals = emaCrossingStrategy($data);

// Print the buy and sell signals
print_r($signals);*/

	/***************************************EMA STRATEGY FUNCTIONS**************************************************/
	
/**
 * EMA Crossing Strategy
 *
 * This code uses the Exponential Moving Average (EMA) indicator to identify potential buy and sell signals in a share market.
 *
 * The EMA crossing strategy is based on the idea that when the short-term EMA crosses above the long-term EMA, it is a signal to buy.
 * Conversely, when the short-term EMA crosses below the long-term EMA, it is a signal to sell.
 *
 * This is a simple and effective strategy that can be used to identify potential trading opportunities.
 *
 * @param array $data An array of share market data
 * @return array An array of buy and sell signals
 */
 
 ini_set('display_errors', 1);
ini_set('display_startup_errors', 1);
error_reporting(E_ALL);

date_default_timezone_set('Asia/Kolkata'); 

require_once('lib/function.php');
$db		=	new login_function();
$dbobj=	new login_function();

function emaCrossingStrategy($data) {
    // Get the closing prices
    $closingPrices = array_column($data, 'Close');

    // Calculate the short-term EMA
    $shortTermEMA = ema($closingPrices, 10);

    // Calculate the long-term EMA
    $longTermEMA = ema($closingPrices, 30);

    // Initialize the buy and sell signals array
    $signals = [];

    // Loop through the data
    for ($i = 0; $i < count($data); $i++) {
        // Check if the short-term EMA has crossed above the long-term EMA
        if ($shortTermEMA[$i] > $longTermEMA[$i]) {
            // If it has, add a buy signal to the array
            $signals[] = [
                'signal' => 'BUY',
                'price' => $closingPrices[$i]
            ];
        }

        // Check if the short-term EMA has crossed below the long-term EMA
        if ($shortTermEMA[$i] < $longTermEMA[$i]) {
            // If it has, add a sell signal to the array
            $signals[] = [
                'signal' => 'SELL',
                'price' => $closingPrices[$i]
            ];
        }
    }

    // Return the buy and sell signals
    return $signals;
}

/**
 * Exponential Moving Average (EMA)
 *
 * This function calculates the EMA of a series of numbers.
 *
 * @param array $data The series of numbers
 * @param int $period The EMA period
 * @return array The EMA values
 */
 
function ema($data, $period) {
    // Initialize the EMA values array
    $emaValues = [];

    // Calculate the initial EMA value
    $emaValues[0] = array_sum($data) / $period;

    // Calculate the subsequent EMA values
    for ($i = 1; $i < count($data); $i++) {
        $emaValues[$i] = (($data[$i] - $emaValues[$i - 1]) * 2 / $period) + $emaValues[$i - 1];
    }

    // Return the EMA values
    return $emaValues;
}
	/*************************************END EMA STRATEGY FUNCTIONS************************************************/
	
$var_symbol_token   =   99926000;
$symbol_name = "NIFTY 50";
$closingPrices = array();
//$closingPrices = $db->get_all_last_candles_data_for_ema($var_symbol_token);
$closingPrices  =   array_reverse($closingPrices);
//print_r($closingPrices);
if(!empty($closingPrices))
{
    // Get the buy and sell signals
    $signals = emaCrossingStrategy($closingPrices);
    echo "<br /><br /><br /><br /><br /><br /><br />";
  //  print_r($signals);
    
    if(!empty($signals))
    {
        foreach($signals as $buy_sell_signal)
        {
            $strategy_type  =   "THREE_THIRTY";
            $buy_type       =   $buy_sell_signal;
           
            /*$main_comment 	= 	"3-30";
            $comment = "-";
	    	$dbobj->add_new_log_data($strategy_type,$buy_type,$main_comment,$comment,$comment,$comment,$comment);*/
            
            if($symbol_name=="Nifty Bank" OR $symbol_name=="Nifty 50" OR $symbol_name=="Nifty Fin Service")
            {
                echo "Inside Candle";
               /* $main_comment 	= 	"3-30 Inside";
                $comment = "-";
    	    	$dbobj->add_new_log_data($strategy_type,$buy_type,$main_comment,$comment,$comment,$comment,$comment);*/
	    	
                //place_trade_entry($symbol_name,$var_symbol_token,$strategy_type, $current_candle_close,$var_interval,$var_from_date,$var_to_date,$buy_type);
                /*$main_comment 	= 	"3-30 After";
                $comment = "-";
	    	    $dbobj->add_new_log_data($strategy_type,$buy_type,$main_comment,$comment,$comment,$comment,$comment);*/
            }
        }
    }
}

/*********************************************************************/
// Sample data array
$data  = $db->get_all_last_candles_data_for_ema_new($var_symbol_token);
$data  =   array_reverse($data);
print_r($data);
// Function to calculate EMA
function calculateEMA($data, $period) {
    $multiplier = 2 / ($period + 1);
    $ema = [];
    $ema[0] = $data[0];
    for ($i = 1; $i < count($data); $i++) {
        $ema[$i] = ($data[$i] - $ema[$i - 1]) * $multiplier + $ema[$i - 1];
    }
    return $ema;
}

// Calculate EMAs
$shortEMA = calculateEMA($data, 3);
$longEMA = calculateEMA($data, 30);

// Determine buy/sell signals based on crossover
$signals = [];
for ($i = 1; $i < count($data); $i++) {
    if ($shortEMA[$i] > $longEMA[$i] && $shortEMA[$i - 1] < $longEMA[$i - 1]) {
        $signals[$i] = 'Buy';
    } elseif ($shortEMA[$i] < $longEMA[$i] && $shortEMA[$i - 1] > $longEMA[$i - 1]) {
        $signals[$i] = 'Sell';
    } else {
        $signals[$i] = 'Hold';
    }
}

print_r($signals);

/*// Displaying buy/sell signals
echo "Date\t\t|\tSignal\n";
echo "--------------------------\n";
for ($i = 1; $i < count($data); $i++) {
    echo "Data $i\t|\t$signals[$i]\n";
}*/


?>