I'm trying to implement history function instead of @batch_transform in the code below. Does anyone know how to achieve the same functionality with history?

'''
Implementation of the trading system described here:  
http://systemtradersuccess.com/vix-rsi/

The Rules  
1. Price must be above its 200-day moving average  
2. RSI(2) on price must be below 30  
3. Buy when RSI(2) of the VIX is above 90  
4. Exit when RSI(2) of the price rises above 65

'''


import numpy as np  
import talib


@batch_transform(window_length=200, refresh_period=0)  
def _history(data):  
    return data

def initialize(context):  
    # Quandl URL for VIX data  
    url ='http://www.quandl.com/api/v1/datasets/YAHOO/INDEX_VIX.csv?request_source=python&request_version=2&sort_order=asc&trim_start=2002-01-01'  
    context.stock=sid(8554)  
    fetch_csv(url, symbol='VIX', date_column='Date')  
    context.invested = False  
    context.leverage = 1.95  


def handle_data(context, data):  
    hist = _history(data)  
    # Return if there is not enough data yet  
    if hist is None:  
        return  
    # Use the close VIX value because the price is also the close  
    vix = hist['Close']['VIX'].values  
    prices = hist['price'][context.stock].values  
    vix_rsi = talib.RSI(vix, timeperiod=2)[-1]  
    spy_rsi = talib.RSI(prices, timeperiod=2)[-1]  
    spy_ma200 = np.mean(prices)  
    record(vix_rsi=vix_rsi,  
           spy_rsi=spy_rsi)  
    record(spy_ma200=spy_ma200,  
           spy=data[context.stock].price)  
    if not context.invested:  
        if vix_rsi > 90 and spy_rsi < 30 and prices[-1] > spy_ma200:  
            order_target_percent(context.stock, context.leverage)  
            context.invested = True  
    else:  
        if spy_rsi > 65:  
            order_target(context.stock, 0)  
            context.invested = False