Strategy Analyzer

Things to know

• Is a cloud based service and it also runs in the background
• You don't necessarily have to watch your screen waiting for it to complete, jusst load the script and go about your normal business, you will be notified once the analysis is completed
• You can always come back to the result page to check progress of your script and then either wait for it to complete or stop the process to get already analyzed results
• Completion time depends on logic, computation and conditions set in your strategy script, and also how many months of data that you are analysis, that is your start to end time
• Most script and analyses can complete within 1minute - 30days depending on factors listed above

Getting Started

There are global variables and contants that are predefined for you and you have make use of them and avoid naming or defining constants using any of them as that will make your script not to run or may overide some values

COMMON SYSTEM VARIABLES

COMMON SYSTEM CONSTANT

USING IN-BUILT FUNCTIONS

You can use any of the php trader extension lib such as trader_ema, trader_macd , trader_rsi or any of the native trader functions.

You can also use python trader library inbuilt functions on your script such as TA-LIB, PANDAS_TA or backtrader

CREATING CUSTOM FUNCTIONS

You can create custom functions using the below method:

	$mycustomCheck = function($price, $volume) {
		
		return $price * $volume;
	};
	

	$vwapcheck = $mycustomCheck($price, $volume);
	

USING THE $SIGNAL VARIABLE

This variable is a must to be used in any of your conditions either buy or sell, as the is the only variable our server recognize:

	// Buy condition example
	if ($price < $lowerBand && $stochK < 20) {
		
		$SIGNAL = array(
		'mode' => 'BUY',
		'entry' => $price,
		'tp' => $price + ($price * $takeProfit),
		'sl' => $price - ($price * $stopLoss),
		);
	}
	

	// Sell condition example
	if ($price > $highBand && $stochK > 80) {
		
		$SIGNAL = array(
		'mode' => 'SELL',
		'entry' => $price,
		'tp' => $price - ($price * $takeProfit),
		'sl' => $price + ($price * $stopLoss),
		);
	}
	

PHP CODE SAMPLE

	/*
	### Scalping Strategy Using PHP Trader
	This strategy will:
	1. Buy when the ema50 crosses above ema100.
	2. Sell when the ema50 crosses below ema100.
	*/


	// Declare start datas 
	$count = count($REVERSEDCANDLES);
	$ema50Data_start = $count - 50; // even though the setting is 14 it requires data like plus 14 or more
	$ema100Data_start = $count - 100;

	// Declare sliced datas 
	$close = [];
	$high = [];
	$low = [];
	$volume = [];

	$ema50Data = [];
	$ema100Data = [];

	//Fill the array columns with real values
	foreach($REVERSEDCANDLES as $key => $row){
		
		$closeValue = (!empty($row['close'])) ? $row['close'] : 0;
		$highValue = (!empty($row['high'])) ? $row['high'] : 0;
		$lowValue = (!empty($row['low'])) ? $row['low'] : 0;
		$volumeValue = (!empty($row['volume'])) ? $row['volume'] : 0;
		
		$close[] = $closeValue; 
		$high[] = $highValue; 
		$low[] = $lowValue; 
		$volume[] = $volumeValue;
		
		// Create data for each data that needs slicing
		if($key >= $ema50Data_start){
			$ema50Data[$key] = $closeValue;
		}
		if($key >= $ema100Data_start){
			$ema100Data[$key] = $closeValue;
		}

	}

	// Calculate Indicators
	$ema50 = trader_ema($ema50Data, 50);
	$ema100 = trader_ema($ema100Data, 100);

	// Get last EMA values
	$lastEma50 = end($ema50);
	$lastEma100 = end($ema100);
	$prevEma50 = prev($ema50);
	$prevEma100 = prev($ema100);

	// Trading parameters
	$takeProfit = 1.5 / 100; 
	$stopLoss = 0.50 / 100;


	// BUY CONDITION
	if ($prevEma50 < $prevEma100 && $lastEma50 > $lastEma100) {
		
		$SIGNAL = array(
		'mode' => 'BUY',
		'entry' => $price,
		'tp' => $price + ($price * $takeProfit),
		'sl' => $price - ($price * $stopLoss),
		);
	}

	// SELL CONDITION
	if ($prevEma50 > $prevEma100 && $lastEma50 < $lastEma100) {
		$SIGNAL = array(
		'mode' => 'SELL',
		'entry' => $price,
		'tp' => $price - ($price * $takeProfit),
		'sl' => $price + ($price * $stopLoss),
		);
	} 
	

PYTHON CODE SAMPLE

	# Convert to DataFrame
	df = pd.DataFrame(REVERSEDCANDLES)

	# Ensure close prices are present
	df["close"] = df["close"].fillna(0)

	# Calculate EMA indicators
	df["ema50"] = ta.trend.ema_indicator(df["close"], window=50)
	df["ema100"] = ta.trend.ema_indicator(df["close"], window=100)

	# Get last and previous EMA values
	lastEma50 = df["ema50"].iloc[-1]
	lastEma100 = df["ema100"].iloc[-1]
	prevEma50 = df["ema50"].iloc[-2]
	prevEma100 = df["ema100"].iloc[-2]

	# Trading parameters
	takeProfit = 1.5 / 100
	stopLoss = 0.50 / 100

	# Example price (replace with actual price)
	price = df["close"].iloc[-1]

	# BUY CONDITION
	if prevEma50 < prevEma100 and lastEma50 > lastEma100:
		SIGNAL = {
			"mode": "BUY",
			"entry": price,
			"tp": price + (price * takeProfit),
			"sl": price - (price * stopLoss),
		}

	# SELL CONDITION
	if prevEma50 > prevEma100 and lastEma50 < lastEma100:
	SIGNAL = {
		"mode": "SELL",
		"entry": price,
		"tp": price - (price * takeProfit),
		"sl": price + (price * stopLoss),
	}