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Stock Marketing

How to Earn from Stock Market

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Introduction

If you want to earn money from stock market, you have to use some charting technique to analysis their history data. There are many free web sites to provide analysis chart, such as google, yahoo, etc; however, because I am an IT guy, I like to tailor-make the chart myself , for example as the below diagram.

stock-chart1

Software Requirement:

Python with  Anaconda version 3-2.4.1

Program Coding as below with filename as stockchart.py:

import urllib.request, urllib.error, urllib.parse
import time
import datetime
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import matplotlib.dates as mdates
from matplotlib.finance import candlestick_ohlc
import matplotlib
import pylab
matplotlib.rcParams.update({‘font.size’: 9})

def rsiFunc(prices, n=14):
deltas = np.diff(prices)
seed = deltas[:n+1]
up = seed[seed>=0].sum()/n
down = -seed[seed<0].sum()/n
rs = up/down
rsi = np.zeros_like(prices)
rsi[:n] = 100. – 100./(1.+rs)

for i in range(n, len(prices)):
delta = deltas[i-1] # cause the diff is 1 shorter

if delta>0:
upval = delta
downval = 0.
else:
upval = 0.
downval = -delta

up = (up*(n-1) + upval)/n
down = (down*(n-1) + downval)/n

rs = up/down
rsi[i] = 100. – 100./(1.+rs)

return rsi

def movingaverage(values,window):
weigths = np.repeat(1.0, window)/window
smas = np.convolve(values, weigths, ‘valid’)
return smas # as a numpy array

def ExpMovingAverage(values, window):
weights = np.exp(np.linspace(-1., 0., window))
weights /= weights.sum()
a =  np.convolve(values, weights, mode=’full’)[:len(values)]
a[:window] = a[window]
return a

def computeMACD(x, slow=26, fast=12):
“””
compute the MACD (Moving Average Convergence/Divergence) using a fast and slow exponential moving avg’
return value is emaslow, emafast, macd which are len(x) arrays
“””
emaslow = ExpMovingAverage(x, slow)
emafast = ExpMovingAverage(x, fast)
return emaslow, emafast, emafast – emaslow

def bytespdate2num(fmt, encoding=’utf-8′):
strconverter = mdates.strpdate2num(fmt)
def bytesconverter(b):
s = b.decode(encoding)
return strconverter(s)
return bytesconverter

def graphData(MA1,MA2):

”’
Use this to dynamically pull a stock:
”’
try:
print(‘Currently Pulling’)
urlToVisit = ‘http://chartapi.finance.yahoo.com/instrument/1.0/2800.hk/chartdata;type=quote;range=5y/csv’
stockFile =[]
try:
sourceCode = urllib.request.urlopen(urlToVisit).read().decode()
splitSource = sourceCode.split(‘\n’)
for eachLine in splitSource:
splitLine = eachLine.split(‘,’)
if len(splitLine)==6:
if ‘values’ not in eachLine:
stockFile.append(eachLine)
except Exception as e:
print(str(e), ‘failed to organize pulled 2800.hk data.’)
urlToVisit1 = ‘http://chartapi.finance.yahoo.com/instrument/1.0/0005.hk/chartdata;type=quote;range=5y/csv’
stockFile1 =[]
try:
sourceCode1 = urllib.request.urlopen(urlToVisit1).read().decode()
splitSource1 = sourceCode1.split(‘\n’)
for eachLine in splitSource1:
splitLine = eachLine.split(‘,’)
if len(splitLine)==6:
if ‘values’ not in eachLine:
stockFile1.append(eachLine)
except Exception as e:
print(str(e), ‘failed to organize pulled 0005.hk data.’)
urlToVisit2 = ‘http://chartapi.finance.yahoo.com/instrument/1.0/2828.hk/chartdata;type=quote;range=5y/csv’
stockFile2 =[]
try:
sourceCode2 = urllib.request.urlopen(urlToVisit2).read().decode()
splitSource2 = sourceCode2.split(‘\n’)
for eachLine in splitSource2:
splitLine = eachLine.split(‘,’)
if len(splitLine)==6:
if ‘values’ not in eachLine:
stockFile2.append(eachLine)
except Exception as e:
print(str(e), ‘failed to organize pulled 2828.hk data.’)
urlToVisit3 = ‘http://chartapi.finance.yahoo.com/instrument/1.0/0941.hk/chartdata;type=quote;range=5y/csv’
stockFile3 =[]
try:
sourceCode3 = urllib.request.urlopen(urlToVisit3).read().decode()
splitSource3 = sourceCode3.split(‘\n’)
for eachLine in splitSource3:
splitLine = eachLine.split(‘,’)
if len(splitLine)==6:
if ‘values’ not in eachLine:
stockFile3.append(eachLine)
except Exception as e:
print(str(e), ‘failed to organize pulled 0941.hk data.’)
urlToVisit4 = ‘http://chartapi.finance.yahoo.com/instrument/1.0/0939.hk/chartdata;type=quote;range=5y/csv’
stockFile4 =[]
try:
sourceCode4 = urllib.request.urlopen(urlToVisit4).read().decode()
splitSource4 = sourceCode4.split(‘\n’)
for eachLine in splitSource4:
splitLine = eachLine.split(‘,’)
if len(splitLine)==6:
if ‘values’ not in eachLine:
stockFile4.append(eachLine)
except Exception as e:
print(str(e), ‘failed to organize pulled 0939.hk data.’)
except Exception as e:
print(str(e), ‘failed to pull pricing data’)

try:
”’
Use this to draw chart0:
”’
date, closep, highp, lowp, openp, volume = np.loadtxt(stockFile,delimiter=’,’, unpack=True,
converters={ 0: bytespdate2num(‘%Y%m%d’)})
x = 0
y = len(date)
newAr = []
while x < y:
appendLine = date[x],openp[x],highp[x],lowp[x],closep[x],volume[x]
newAr.append(appendLine)
x+=1

Av1 = movingaverage(closep, MA1)
Av2 = movingaverage(closep, MA2)

SP = len(date[MA2-1:])

fig = plt.figure(facecolor=’#07000d’)

ax0 = plt.subplot2grid((15,15), (0,0), rowspan=3, colspan=15, axisbg=’#07000d’)
candlestick_ohlc(ax0, newAr[-SP:], width=.6, colorup=’#53c156′, colordown=’#ff1717′)

Label1 = str(MA1)+’ SMA’
Label2 = str(MA2)+’ SMA’

ax0.plot(date[-SP:],Av1[-SP:],’#e1edf9′,label=Label1, linewidth=1.5)
ax0.plot(date[-SP:],Av2[-SP:],’#4ee6fd’,label=Label2, linewidth=1.5)

ax0.grid(True, color=’w’)
ax0.xaxis.set_major_locator(mticker.MaxNLocator(10))
ax0.xaxis.set_major_formatter(mdates.DateFormatter(‘%Y-%m-%d’))
ax0.yaxis.label.set_color(“w”)
ax0.spines[‘bottom’].set_color(“#5998ff”)
ax0.spines[‘top’].set_color(“#5998ff”)
ax0.spines[‘left’].set_color(“#5998ff”)
ax0.spines[‘right’].set_color(“#5998ff”)
ax0.tick_params(axis=’y’, colors=’w’)
plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune=’upper’))
ax0.tick_params(axis=’x’, colors=’w’)
plt.ylabel(‘2800’)

maLeg = plt.legend(loc=9, ncol=2, prop={‘size’:7},
fancybox=True, borderaxespad=0.)
maLeg.get_frame().set_alpha(0.4)
textEd = pylab.gca().get_legend().get_texts()
pylab.setp(textEd[0:5], color = ‘w’)

volumeMin = 0

ax0v = ax0.twinx()
ax0v.fill_between(date[-SP:],volumeMin, volume[-SP:], facecolor=’#00ffe8′, alpha=.4)
ax0v.axes.yaxis.set_ticklabels([])
ax0v.grid(False)
###Edit this to 3, so it’s a bit larger
ax0v.set_ylim(0, 3*volume.max())
ax0v.spines[‘bottom’].set_color(“#5998ff”)
ax0v.spines[‘top’].set_color(“#5998ff”)
ax0v.spines[‘left’].set_color(“#5998ff”)
ax0v.spines[‘right’].set_color(“#5998ff”)
ax0v.tick_params(axis=’x’, colors=’w’)
ax0v.tick_params(axis=’y’, colors=’w’)
”’
Use this to draw chart1:
”’
date1, closep1, highp1, lowp1, openp1, volume1 = np.loadtxt(stockFile1,delimiter=’,’, unpack=True,
converters={ 0: bytespdate2num(‘%Y%m%d’)})
x1 = 0
y1 = len(date1)
newAr1 = []
while x1 < y1:
appendLine1 = date1[x1],openp1[x1],highp1[x1],lowp1[x1],closep1[x1],volume1[x1]
newAr1.append(appendLine1)
x1+=1

Av11 = movingaverage(closep1, MA1)
Av21 = movingaverage(closep1, MA2)

SP1 = len(date1[MA2-1:])

ax1 = plt.subplot2grid((15,15), (3,0), sharex=ax0, rowspan=3, colspan=15, axisbg=’#07000d’)
candlestick_ohlc(ax1, newAr1[-SP1:], width=.6, colorup=’#53c156′, colordown=’#ff1717′)

Label11 = str(MA1)+’ SMA’
Label21 = str(MA2)+’ SMA’

ax1.plot(date1[-SP1:],Av11[-SP1:],’#e1edf9′,label=Label11, linewidth=1.5)
ax1.plot(date1[-SP1:],Av21[-SP1:],’#4ee6fd’,label=Label21, linewidth=1.5)

ax1.grid(True, color=’w’)
ax1.xaxis.set_major_locator(mticker.MaxNLocator(10))
ax1.xaxis.set_major_formatter(mdates.DateFormatter(‘%Y-%m-%d’))
ax1.yaxis.label.set_color(“w”)
ax1.spines[‘bottom’].set_color(“#5998ff”)
ax1.spines[‘top’].set_color(“#5998ff”)
ax1.spines[‘left’].set_color(“#5998ff”)
ax1.spines[‘right’].set_color(“#5998ff”)
ax1.tick_params(axis=’y’, colors=’w’)
plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune=’upper’))
ax1.tick_params(axis=’x’, colors=’w’)
plt.ylabel(‘0005’)

maLeg = plt.legend(loc=9, ncol=2, prop={‘size’:7},
fancybox=True, borderaxespad=0.)
maLeg.get_frame().set_alpha(0.4)
textEd = pylab.gca().get_legend().get_texts()
pylab.setp(textEd[0:5], color = ‘w’)

volumeMin = 0

ax1v = ax1.twinx()
ax1v.fill_between(date1[-SP1:],volumeMin, volume1[-SP1:], facecolor=’#00ffe8′, alpha=.4)
ax1v.axes.yaxis.set_ticklabels([])
ax1v.grid(False)
###Edit this to 3, so it’s a bit larger
ax1v.set_ylim(0, 3*volume1.max())
ax1v.spines[‘bottom’].set_color(“#5998ff”)
ax1v.spines[‘top’].set_color(“#5998ff”)
ax1v.spines[‘left’].set_color(“#5998ff”)
ax1v.spines[‘right’].set_color(“#5998ff”)
ax1v.tick_params(axis=’x’, colors=’w’)
ax1v.tick_params(axis=’y’, colors=’w’)
”’
Use this to draw chart2:
”’
date2, closep2, highp2, lowp2, openp2, volume2 = np.loadtxt(stockFile2,delimiter=’,’, unpack=True,
converters={ 0: bytespdate2num(‘%Y%m%d’)})
x2 = 0
y2 = len(date2)
newAr2 = []
while x2 < y2:
appendLine2 = date2[x2],openp2[x2],highp2[x2],lowp2[x2],closep2[x2],volume2[x2]
newAr2.append(appendLine2)
x2+=1

Av12 = movingaverage(closep2, MA1)
Av22 = movingaverage(closep2, MA2)

SP2 = len(date2[MA2-1:])

ax2 = plt.subplot2grid((15,15), (6,0), sharex=ax0, rowspan=3, colspan=15, axisbg=’#07000d’)
candlestick_ohlc(ax2, newAr2[-SP2:], width=.6, colorup=’#53c156′, colordown=’#ff1717′)

Label12 = str(MA1)+’ SMA’
Label22 = str(MA2)+’ SMA’

ax2.plot(date2[-SP2:],Av12[-SP2:],’#e1edf9′,label=Label12, linewidth=1.5)
ax2.plot(date2[-SP2:],Av22[-SP2:],’#4ee6fd’,label=Label22, linewidth=1.5)

ax2.grid(True, color=’w’)
ax2.xaxis.set_major_locator(mticker.MaxNLocator(10))
ax2.xaxis.set_major_formatter(mdates.DateFormatter(‘%Y-%m-%d’))
ax2.yaxis.label.set_color(“w”)
ax2.spines[‘bottom’].set_color(“#5998ff”)
ax2.spines[‘top’].set_color(“#5998ff”)
ax2.spines[‘left’].set_color(“#5998ff”)
ax2.spines[‘right’].set_color(“#5998ff”)
ax2.tick_params(axis=’y’, colors=’w’)
plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune=’upper’))
ax2.tick_params(axis=’x’, colors=’w’)
plt.ylabel(‘2828’)

maLeg = plt.legend(loc=9, ncol=2, prop={‘size’:7},
fancybox=True, borderaxespad=0.)
maLeg.get_frame().set_alpha(0.4)
textEd = pylab.gca().get_legend().get_texts()
pylab.setp(textEd[0:5], color = ‘w’)

volumeMin = 0

ax2v = ax2.twinx()
ax2v.fill_between(date2[-SP2:],volumeMin, volume2[-SP2:], facecolor=’#00ffe8′, alpha=.4)
ax2v.axes.yaxis.set_ticklabels([])
ax2v.grid(False)
###Edit this to 3, so it’s a bit larger
ax2v.set_ylim(0, 3*volume2.max())
ax2v.spines[‘bottom’].set_color(“#5998ff”)
ax2v.spines[‘top’].set_color(“#5998ff”)
ax2v.spines[‘left’].set_color(“#5998ff”)
ax2v.spines[‘right’].set_color(“#5998ff”)
ax2v.tick_params(axis=’x’, colors=’w’)
ax2v.tick_params(axis=’y’, colors=’w’)
”’
Use this to draw chart3:
”’
date3, closep3, highp3, lowp3, openp3, volume3 = np.loadtxt(stockFile3,delimiter=’,’, unpack=True,
converters={ 0: bytespdate2num(‘%Y%m%d’)})
x3 = 0
y3 = len(date3)
newAr3 = []
while x3 < y3:
appendLine3 = date3[x3],openp3[x3],highp3[x3],lowp3[x3],closep3[x3],volume3[x3]
newAr3.append(appendLine3)
x3+=1

Av13 = movingaverage(closep3, MA1)
Av23 = movingaverage(closep3, MA2)

SP3 = len(date3[MA2-1:])

ax3 = plt.subplot2grid((15,15), (9,0), sharex=ax0, rowspan=3, colspan=15, axisbg=’#07000d’)
candlestick_ohlc(ax3, newAr3[-SP3:], width=.6, colorup=’#53c156′, colordown=’#ff1717′)

Label13 = str(MA1)+’ SMA’
Label23 = str(MA2)+’ SMA’

ax3.plot(date3[-SP3:],Av13[-SP3:],’#e1edf9′,label=Label13, linewidth=1.5)
ax3.plot(date3[-SP3:],Av23[-SP3:],’#4ee6fd’,label=Label23, linewidth=1.5)

ax3.grid(True, color=’w’)
ax3.xaxis.set_major_locator(mticker.MaxNLocator(10))
ax3.xaxis.set_major_formatter(mdates.DateFormatter(‘%Y-%m-%d’))
ax3.yaxis.label.set_color(“w”)
ax3.spines[‘bottom’].set_color(“#5998ff”)
ax3.spines[‘top’].set_color(“#5998ff”)
ax3.spines[‘left’].set_color(“#5998ff”)
ax3.spines[‘right’].set_color(“#5998ff”)
ax3.tick_params(axis=’y’, colors=’w’)
plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune=’upper’))
ax3.tick_params(axis=’x’, colors=’w’)
plt.ylabel(‘941’)

maLeg = plt.legend(loc=9, ncol=2, prop={‘size’:7},
fancybox=True, borderaxespad=0.)
maLeg.get_frame().set_alpha(0.4)
textEd = pylab.gca().get_legend().get_texts()
pylab.setp(textEd[0:5], color = ‘w’)

volumeMin = 0

ax3v = ax3.twinx()
ax3v.fill_between(date3[-SP3:],volumeMin, volume3[-SP3:], facecolor=’#00ffe8′, alpha=.4)
ax3v.axes.yaxis.set_ticklabels([])
ax3v.grid(False)
###Edit this to 3, so it’s a bit larger
ax3v.set_ylim(0, 3*volume3.max())
ax3v.spines[‘bottom’].set_color(“#5998ff”)
ax3v.spines[‘top’].set_color(“#5998ff”)
ax3v.spines[‘left’].set_color(“#5998ff”)
ax3v.spines[‘right’].set_color(“#5998ff”)
ax3v.tick_params(axis=’x’, colors=’w’)
ax3v.tick_params(axis=’y’, colors=’w’)
”’
Use this to draw chart4:
”’
date4, closep4, highp4, lowp4, openp4, volume4 = np.loadtxt(stockFile4,delimiter=’,’, unpack=True,
converters={ 0: bytespdate2num(‘%Y%m%d’)})
x4 = 0
y4 = len(date4)
newAr4 = []
while x4 < y4:
appendLine4 = date4[x4],openp4[x4],highp4[x4],lowp4[x4],closep4[x4],volume4[x4]
newAr4.append(appendLine4)
x4+=1

Av14 = movingaverage(closep4, MA1)
Av24 = movingaverage(closep4, MA2)

SP4 = len(date4[MA2-1:])

ax4 = plt.subplot2grid((15,15), (12,0), sharex=ax0, rowspan=3, colspan=15, axisbg=’#07000d’)
candlestick_ohlc(ax4, newAr4[-SP4:], width=.6, colorup=’#53c156′, colordown=’#ff1717′)

Label14 = str(MA1)+’ SMA’
Label24 = str(MA2)+’ SMA’

ax4.plot(date4[-SP4:],Av14[-SP4:],’#e1edf9′,label=Label14, linewidth=1.5)
ax4.plot(date4[-SP4:],Av24[-SP4:],’#4ee6fd’,label=Label24, linewidth=1.5)

ax4.grid(True, color=’w’)
ax4.xaxis.set_major_locator(mticker.MaxNLocator(10))
ax4.xaxis.set_major_formatter(mdates.DateFormatter(‘%Y-%m-%d’))
ax4.yaxis.label.set_color(“w”)
ax4.spines[‘bottom’].set_color(“#5998ff”)
ax4.spines[‘top’].set_color(“#5998ff”)
ax4.spines[‘left’].set_color(“#5998ff”)
ax4.spines[‘right’].set_color(“#5998ff”)
ax4.tick_params(axis=’y’, colors=’w’)
plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune=’upper’))
ax4.tick_params(axis=’x’, colors=’w’)
plt.ylabel(‘939’)

maLeg = plt.legend(loc=9, ncol=2, prop={‘size’:7},
fancybox=True, borderaxespad=0.)
maLeg.get_frame().set_alpha(0.4)
textEd = pylab.gca().get_legend().get_texts()
pylab.setp(textEd[0:5], color = ‘w’)

volumeMin = 0

ax4v = ax4.twinx()
ax4v.fill_between(date4[-SP4:],volumeMin, volume4[-SP4:], facecolor=’#00ffe8′, alpha=.4)
ax4v.axes.yaxis.set_ticklabels([])
ax4v.grid(False)
###Edit this to 3, so it’s a bit larger
ax4v.set_ylim(0, 3*volume4.max())
ax4v.spines[‘bottom’].set_color(“#5998ff”)
ax4v.spines[‘top’].set_color(“#5998ff”)
ax4v.spines[‘left’].set_color(“#5998ff”)
ax4v.spines[‘right’].set_color(“#5998ff”)
ax4v.tick_params(axis=’x’, colors=’w’)
ax4v.tick_params(axis=’y’, colors=’w’)
”’
Use this to display all charts:
”’
plt.subplots_adjust(left=.09, bottom=.14, right=.94, top=.95, wspace=.20, hspace=0)
plt.show()
fig.savefig(‘example.png’,facecolor=fig.get_facecolor())

except Exception as e:
print(‘main loop’,str(e))

graphData(10,50)

Tools Set, Useful Link

Tips to Use Ripoffreport.com for Internet Marketing

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ripoff-imagesRipoff Report is a worldwide consumer reporting Web site and publication, by consumers, for consumers, to file and document complaints about companies or individuals. While we encourage and even require authors to only file truthful reports, Ripoff Report does not guarantee that all reports are authentic or accurate. Be an educated consumer. Read what you can and make your decision based upon an examination of all available information.

Unlike the Better Business Bureau, Ripoff Report does not hide reports of “satisfied” complaints. ALL complaints remain public and unedited in order to create a working history on the company or individual in question.

Ripoff Reports cover every category imaginable! You can Browse the latest Reports, Search the Reports.

You can get a lot of useful information you’re looking for from Ripoffreport.com. Try to take its advantage for your internet marketing buseiness

Facebook, Get Traffic, Tools Set

Tips to Use Facebook Effectively

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WA4-image3Analysis by “Time vs. Value” when it comes to Facebook business pages and I think that you are going to be surprised as to how ineffective your time can be spent on Facebook. If you engage all your time on facebook, you may be disappointed because only a few of facebook friends really capture your interest (and they are likely the active and controversial ones), so, do not be over rely on facebook as its marketing power is very depend on the nature of your facebook friends.

Get Traffic, Social Media, Tools Set

Tips to Take Advantage of Trendsmap for better Twitter

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Trendsmap-imageThere is a completely free “trend mapping” tool called Trendsmap. At any given time you an go to their live and interactive map and see what the popular topics “hashtags” are within Twitter. When someone attaches a hashtag # to something, it is essentially giving people an instant idea of what topic or keyword best defines their tweet.

Check Out the Current Trends Map!

trendsmap-diag

As you can see based on the #hashtags, @users, and keywords, these are the popular topics/people right now. If I were to join in on the discussion, people watching those popular items would see my tweet and it could lead to new followings, or better yet, ENGAGEMENT.

Try to spread your activities out throughout the day so that it shows your following and your audience that you are a more active user.

Don’t waste a ton of time on there, but a tweet or two per day at different times during the day can really help. This leads to more reach as different people use Twitter at different times of the day.

If you find that you are on any particular social network throughout the entirety of your day (in and out), then it is not a part of your business….it has become a BAD HABIT.

Tools Set, Wordpress

Tips to use WordPress Akismet to Avoid Spam

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Akismet-imageAkismet is an important plugin for WordPress. Akismet checks WordPress comments against the Akismet Web service to see if they look like spam or not and lets you review the spam it catches under your blog’s “Comments” admin screen.

Major features in Akismet include:

  • Automatically checks all comments and filters out the ones that look like spam.
  • Each comment has a status history, so you can easily see which comments were caught or cleared by Akismet and which were spammed or unspammed by a moderator.
  • URLs are shown in the comment body to reveal hidden or misleading links.
  • Moderators can see the number of approved comments for each user.
  • A discard feature that outright blocks the worst spam, saving you disk space and speeding up your site.

It is important to clean out the spam contents. Here is the criteria for the spam.

(1) If they are not addressing the content with your post in a way that shows they read it
(2) If they are dropping a link to their site that is completely irrelevant
(3) If they are using something other than a real name for their name (ex. website name)

Spammers can be tricky and Akismet plugins may not be able to prevent all of your spam, sometimes, you still need to manually check and delete spammer comment.

iEarning Tips, Tips of Make Money Online

Tips to Successful Start Your Niches Website

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niche-imageTo ensure you are good to a niches market of internet business, you have better accomplished the following things:

  • You have your very own niche website on your own domain
  • You have optimized your website for SEO
  • You understand the process of creating content
  • You have created several pages of content that are starting to get ranked
  • Your foundation for a long term, and successful business is in place
  • You KNOW more than 99% of your competition.

The THEME of your content should be centered around that keyword topic. Put the keyword in your article title as well as within the first paragraph and write quality, engaging content. Remember, quality, engaging and helpful content leads to higher rankings in Google, more activity, and better conversions.

Moreover, there are many tricks and strategies that you can implement to improve the user experience, social marketing, navigation, maintenance, spam controls, and overall website success. Try hard to learn those to improve your website earning power. Good Luck !

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Tips to Take Advantage of Google+

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Introduction

Although Google would never reveal their exact ranking/indexing algorithm, it only makes sense that if you let them know about your content they are going tgoogle+imageo do a better job of indexing you, so that connecting your content with Google Plus, which is Google’s social network. This is going to lead to better indexing times, more authority/trust in Google, and an overall better relationship with Google.

How to Use Google+

It is free and all you need is a Google account.

http://plus.google.com

The next thing you are going to want to do is add yourself as a contributor within your Google+ account. This is very easy to do and is done directly on your Profile page.

google+

From there you will want to go to your About tab.

google+header

Scroll down to the Links section and you will see the Contributor field. This is where you will want to add any websites that you are actively working on. Click on the “Edit” link. Then you will want to “Add a Custom Link”. This will pop up a link editor. After you add your websites that you own, click “Save” and you are done. 🙂

Adding yourself as a contributor is a subtle way to make Google aware of websites that you are a content contributor of. This in essence allows Google to have insight into what sort of author you are. If you create quality engaging content, this is only going to benefit you and subsequently Google’s trust in your content will go up.

iEarning Tips, Tips of Make Money with Affiliate Marketing

Tips of Comparison btw Affiliate Program VS Ad Network VS Your Own Product

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earning-imagesTo compare the earning revenue as an affiliate versus earning revenue through paid ad networks like Google Adsense, which one will earn you more money?

 

Scenario 1: Your site => affiliate offer => buy offer ($20+ typically)

Scenario 2: Your site => adsense click (under $0.70 typically)

Obviously, earning power of Affiliate program is better. Some people work best with affiliate offers only. However, some people earn the most money with adsense, which depends on the nature and marketing strategy of your web site.

You could also promote your own tangible products. You could send people from your site to your eBay listings for example. Drop-shipping opportunities are also out there. You can offer you services. You can sell your own goods. You can create products in your niche once you get going. It is the easy way to start a business and earning money.

Lastly, I provided you some real figures to compare the internet earning amount in a month from different sources as below, which came from a pets-themed website and personal family blog:

  • Google Adsense: $422.34
  • Clickbank $175.14
  • Amazon: $85.42
  • Demand Media $79.96
  • Wealthy Affiliate: $40.00
  • ebay Partner $14.82
  • ShareASale $13.65
  • Squidoo $9.92

TOTAL $841.25

iEarning Tips, Tips of Consumer Behavior

How Well You Know Your Niche

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How well you know your niche. Your answer should be YES to examine the following questions:

(1) Do you read regularly about your niche?
(2) Can you effectively communicate with others in your niche?
(3) Do you comprehend customers issues?
(4) Can you come up with your own “pros and cons” for each customer situation (product, service, etc)?
(5) Do you understand the core problems within your niche?

When you see an ad in the newspaper, on the radio, on TV, or in a magazine, you should see this as an opportunity to take full advantage of these customers online.

Let’s take a minute and look at the last purchase that you made online…

  • Where did you start and where did you end up?
  • Did you purchase the same day that you started looking, and why or why not?
  • Were you exposed to positive or negative advertising about a product?
  • Did you see the product/service in a magazine or on TV before you saw it online?
  • Was the price an issue for you, why or why not?
  • What was the last phase in the analysis process before you actually purchased the product?
  • Did you go on Facebook or Twitter for some purchasing guidance?