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#                       5d. Candlesticks with Moving Averages                 #
###############################################################################
# Define time interval to consider
start_date = datetime.date(2015, 5, 18) # Year-Month-Day
end_date   = datetime.date(2015, 7, 10)

# Create figure
f, ax = plt.subplots(figsize=(13, 6.5))

# Plot ADI_OHLC data
candlestick_ohlc(ax, ADI_candle.values.tolist(),
                 width=.6,
                 colorup='green',
                 colordown='red')

# Plot 50-day SMA
SMA50.plot(color = ["magenta"], style = ["-"], linewidth = 2.5, ax = ax)

# Plot 200-day SMA
SMA200.plot(color = ["b"], style = ["-"], linewidth = 2.5, ax = ax)

# Plot 9-day EMA
EMA9.plot(color = ["blueviolet"], linewidth = 2.5, style = ["--"], ax = ax)

# Plot 20-day EMA
EMA20.plot(color = ["orange"], linewidth = 2.5, style = ["--"], ax = ax)

# Set x and y axis limits
ax.set_xlim([start_date, end_date])
ax.set_ylim([60, 69])

# Set axis labels
ax.set_ylabel("Price ($)", fontsize = 20)

# Rotate tick labels
xlabels = ax.get_xticklabels()
ax.set_xticklabels(xlabels, rotation = 45, fontsize = 14)

# Change x-axis tick label fromat
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))

# Send gridlines to back
ax.set_axisbelow(True)

# Show legend
plt.legend()

# Tight layout
plt.tight_layout()

# Save Figure
plt.savefig("ADI Candlestick Chart With Averages.png", dpi = 1080)