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May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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Weekly for Saturday May 2nd, 2020. Based on Thursday’s Close
CONTENTS
IS THE ECONOMY SMARTER THAN THE MARKET? pg1
POSITIVE LIST TRADING EXIT pg11 DAILY PRICE CHANGE RATIO ENTRY SIGNAL part 2 pg16
THE SUCKER RALLY pg20 NEWSLETTER OUTLOOK: TRADE WHAT YOU SEE pg24 PORTFOLIO CASE STUDIES: MONEY MANAGEMENT pg25
IS THE ECONOMY SMARTER THAN THE MARKET? By Daryl Guppy
Is the economy smarter than the market? This is the key question. With
massive unemployment, shuttered shops, businesses that will not reopen, and business that will reopen but not be able to recover from the cash flow drought and
collapse within months, the outlook looks grim. The big danger is a snapback where the market retreats to the economic
outlook, or the economy rises to catch up with the market. Politicians would have us believe the economy will catch up to the market with a snapback. Others believe the market will correct back to the struggling economy and this underpins the dead cat
bounce analysis.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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We simply do not know but as we have often said, we should trade what we see
on the chart and not what we believe. It’s an axiom we have been guilty of not following in recent weeks but it’s one we start to follow this week with more
examples. This is a volatile market, with the DOW, unbelievably, having its best month in
three decades. A volatile market is most effectively managed with volatility stops and
that means Traders ATR or Count Back Line. This is the basis of our new opportunity searches. We look for CBL and Traders ATR entry signals. This is covered in another
article. STARTING WITH “EXPERTS”
I have absolutely no problem is deferring to the experts, but I do not take their suggestions unquestioned. I prefer to assess them against my own chart analysis.
This week Goldman Sachs has identified its top underappreciated defensive stock picks that should perform well through the coronavirus crisis. The broker is known as tactically bearish short-term, and defensives form an important part of its portfolio.
They said Aurizon, Freedom Foods, Charter Hall Social Infrastructure REIT, Cleanaway Waste, St Barbara and Telstra were overlooked by the market, all down
25% from their year highs and each offering more than 19% upside based on Goldman Sachs’ target prices.
We examine each of these from a technical perspective applying chart analysis
because there is no room for more complex, and potentially confusing, analysis. If the opportunity is there, then it is there, plain and clear. We start with AZJ*.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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The dominant feature on the chart is the equilateral triangle. This is a pattern of indecision because it gives no clear indication of the direction of the breakout.
However, breakouts are often very strong and reach the projected targets quickly. The triangle is not perfect and includes some overshoot bars. The entry signal is
given near $4.66 by the move above the upper trend line. The upside target is the
width of the base projected upwards form the point of breakout. This gives an upside target near $5.17. Stop loss is the value of the trend line near $4.56.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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This puts $429 at risk, or less than 0.05% of trading capital. As the trend develops a different stop loss method will be applied. This may be an ATR or a trend line.
The trade may be executed as a CFD, although the available leverage is low. It may also be used to add to an existing longer-term open position in AZJ for those who
already hold this as an investment. BULLISH TRIANGLE
CQE* is a clear bullish triangle. It has a well-defined resistance level and a well-defined upward sloping trend line. The base of the triangle is measured and projected
upwards to give a price target. There is no complex analysis required for this clear bullish up sloping triangle pattern.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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Entry is taken near to the uptrend line at $2.25. The risk is reduced because the stop is the value of the upsloping trend line at $2.20. This puts $444 at risk or less than 0.04% of total trading capital.
Upside target is $2.72, and this gives a 20.89% return from this type of trade. WASTE OF TIME
CWY was quickly dismissed from consideration. It does show a confirmed uptrend line. It does not show any compression in the long term GMMA and this
suggests the downtrend pressure remains string. There is the potential for a breakout, but the previous candidates on the list offer better defined and clearer opportunities. In a volatile and unconfirmed market, traders err on the side of caution.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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ATR BREAKOUT
SBM is a good example of an ATR breakout with an entry signalled around $2.25 when the long-side ATR moved above the short side ATR. Aggressive traders
who missed the first entry conditions join the uptrend as price drops towards the value of the ATR. This is joining an established uptrend rather that taking a larger risk in the early stages of the breakout. The breakout trend is confirmed by GMMA
analysis. The long term GMMA has turned upwards and has been successfully tested as a support feature on two occasions.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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For case study purposes the entry is at $2.43 with the stop loss at the value of
the ATR line at $2.38. This puts $411 at risk or less than 0.05% of total trading capital. Target is near $30.00, but the trade is managed with the ATR line.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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HANG UP TLS remains in a downtrend with a well-defined downward sloping triangle. This shows none of the bullish features traders are looking for, so these types of patterns
are ignored.
XJO CONTEXT UPDATE
Here’s an update from last week on the context of the current fall as compared
to the 2008 collapse. As noted, we suspect that the current rebound is the mother of all dead cat bounces. Note the dead-cat bounce in 2008. On the weekly chart you can
see how this developed as a six-week rally.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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The most important feature of note is the speed of the current fall. In 2008 the fall played out over a year. This fall is playing out over a few weeks. That’s materially different as discussed in the strategy notes. This is not GFC. It’s the Great Panic. GFC
solutions will not work, and that impacts on how we re-enter the market.
UPDATE ON WHAT WE ARE DOING As noted in following articles, we are easing back into this market with a
defensive approach.
1) Identify sustainable rebound activity suitable for short term trades and applying tight stops.
2) Use Traders ATR and CBL as the entry conditions. 3) Look for stocks that did not overreact to the market fall and which have
maintained steady low volatility trend behaviour.
4) Enter near to the stop loss levels to reduce risk. 5) Manage as a short-term trade with tight protect profit stops.
6) Identify support points and potential buy points for investment style accumulation
Our current strategy is cautious trading until there is absolute proof this is not a
sustained dead cat bounce because the macro economic situation runs counter to the market behaviour.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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You can download the ATR indicator for MT4 at https://www.mql5.com/en/market/product/29683 Use this to improve your trade risk
management.
CASE STUDY EQUITY CURVE
The case study trade 5GN is closed for a profit of $227.27 or 1.14%. The case
study portfolio return is $54,142 or 54.1% for the period starting July 1, 2019 and ending June 30, 2020.
For the year starting July 1, 2018 – 2019 the case study portfolio return is
$91,794 or 91.79%. For the year starting July 1, 2017-2018, the case study portfolio return is
$115,330 or 115.3%. For the year starting July 1, 2016-2017, the case study portfolio return is $92,464.15 or 92.5%. For the year starting July 1, 2015- 2016, the case study portfolio return is $156,450 or 156.45%.
Equity trade size is generally kept constant at $20,000 in the case study portfolio so it is easier to compare the case study trades over this and other years.
Unless otherwise noted in the trade management notes, all equity case study trades are managed on an end of day basis, with the exit taken at the best reasonable price on the day after the stop loss is triggered.
Warrant and CFD trades are generally kept constant at $10,000. Warrant and CFD trades are closed on an intraday basis using a guaranteed stop loss as this is a
primary method of managing derivative risk. FX trades are generally kept constant at $5000. Stops are managed intraday.
This capital allocation reflects the risk in each of these asset classes.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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POSITIVE LIST TRADING EXIT By Daryl Guppy
We introduced two sample trades last week. Both are trend breakouts, but the
nature of the breakout is different in each example. They were trades with tight stops
because we remained nervous about the market uptrend strength.
5GN The first example is 5GN. We consider these factors.
The rally we joined has slowed and the price closed below the ATR stop loss
line. Whilst there is a strong potential to test support from the long term GMMA, we instead take an exit on the day following the close below the ATR line.
The exit is taken near $0.89 and gives a small profit of $227.27 or 1.14%. This highlights the increased risk in trading breakouts and the need for tight stops.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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The collapse in the trend started before the Market collapse so it was an
established downtrend. The price fall did not accelerate when the market collapsed so the downtrend
remained steady and intact This means that standard measures of trend behaviour, GMMA and ATR can still
be applied.
The short ATR is a 2*ATR because market conditions suggest more caution is needed in entry decisions, so we apply a wider and slower entry signal.
We wait for the ATR crossover, using a 1*ATR long.
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Entry is taken at $0.88. The ATR stop is at $0.81. This puts $1590.91 at risk.
This level of risk can be reduced by reducing the position size to $10,00 but in this case study we leave the position size at $20,000.
TBR
There is no change to the management of this case study trade. The ATR stop
loss value is lifted. Some traders will put a sell order in placed just below the target level. This may be adjusted as price moves closer to the target level. In a string trend
the sell is removed and used as a calculation point for a trailing stop loss. The second trade example is TBR. The uptrend breakout has continued
strongly, and the trade management method does not change. This is a classic trend
breakout trade that is largely unaffected by the market collapse. We consider these elements in making this type of trade entry.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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This is an established downtrend. There is no sudden collapse when the market collapsed. This behaviour is uncorrelated with the market.
This means that standard measures of trend behaviour, GMMA and ATR can still
be applied. The short ATR is a 1*ATR because the trend stability does not show the broader
market volatility. We wait for the ATR crossover, using a 1*ATR long. We wait for GMMA crossover confirmation.
We wait for the breakout to move above the trend line value.
The plan was to hold off entry until after the Easter break using a low-ball entry price near $5.42. This advance order was filled on the day before Easter. The stop loss
was set at $5.12. This puts $1,107.71 at risk. This level of risk can be reduced by reducing the position size to $10,000 but in
this case study we leave the position size at $20,000. The progress of this case study trade will be updated in next weeks newsletter.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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DAILY PRICE CHANGE RATIO ENTRY SIGNAL part 2 By P Doggett
Markets change. Techniques that worked stop working and are replaced with
new techniques. However, the discarded techniques may come back into fashion and become compatible with even newer market conditions. We hoard trading methods
and drag them out from time to time to see if they are back in fashion. This article provides a method that is well suited to bullish market conditions. We reprint the original notes as a starting point. Editor
When I think I am on the verge of a new trading technique, one of the first
questions that I ask myself is this: “Will this technique work if I want to go short as well as go long?” A reader has asked this very question regarding the Daily Price Range – Daily Price
Change Ratio or RCR for short. The same reader has asked, how do I find these types of set ups in the market. Let’s answer both questions.
First of all, let’s look at whether or not the RCR will work in falling markets as well as in rising markets.
If you try to apply the RCR as it appeared in this newsletter on 11 June 2011, in down markets, it won’t necessarily work in the way you expected. I have back tested using the same set of rules and found some short comings. For example, I rarely
found a “down” day following a high volume down day that achieved a range-change ratio greater than 70%. I also found that setting the Stop at the intra-day high of the
high volume day only got me whipsawed back out of the stock pretty quickly because the market bounces upward with more gusto than it drops.
There are probably several reasons for this. The main one as far as I am
concerned with however, is that bull and bear markets are different in nature and therefore a Long strategy generally won’t work in reverse as a Short strategy because
the emotions and the arousal traders feel in bull markets are different from those experienced in bear markets.
For example mildly bullish news often causes stock markets to rise, but mildly
bearish news rarely cause markets to drop. Why is this? Well, generally speaking, studies on personality have shown that people are by and large, optimistic about most
things. So it follows that traders typically look to the positive in all announcements. Besides, much of the literature in the market tells us that eventually the market will always head higher, so it ingrains the perception in the wider public that if you merely
buy and hold, then by some magical law of nature, the market (and therefore your shareholdings) will inevitably rise in value over time.
But rather than get bogged down in a philosophical debate as to why bull and bear markets act differently, lets move on and show how the RCR can be applied in bear markets or in falling stocks rather than in rising stocks.
The only thing we need to do is to make a slight alteration to our first two rules. Just to recap from last week, we stated the following:
Rule #1: Find a high volume day. It must be on a day that has a positive or higher close based on the previous days closing price (it has to be an “up” day) and it must be the highest volume day for at least the past 5 consecutive trading days
(inclusive). Rule #2: The day after the high volume day must be an “up” day (the share
price must end at breakeven or higher than the previous day’s closing price). This “up” day must have a daily price range and daily price change ratio greater than 70%. Fig 2 shows us Rules #1 and #2 being satisfied at the start of May, using ADY as an
example.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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In the Long strategy, we find a high volume day first, and then look forward in
time, to the next trading day to find an “up” day (when the closing price is equal to or higher than the previous day’s closing price).
We have to make some minor adjustments to Rules #1 and #2 in down
markets or if we are intending to sell Short. Our original two rules change as follows: Rule #1: Find a high volume day. It must be on a day that has a lower close
than the previous day’s closing price and it must be the highest volume day for at
least the past 5 consecutive trading days (inclusive). We use this day and the previous day (if it satisfies Rule #2 below) to calculate the RCR. This day must have a
daily price range and daily price change ratio greater than 70%. Rule #2: The day before the high volume day occurs, must also be a “down”
day (the share price must end at breakeven or lower than the previous day’s closing
price). In effect we have to look backwards from the High Volume day when we are
dealing with falling markets or intending to sell short to satisfy rather than look forward from the High Volume day as we did when intending to go long.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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We have to calculate the RCR. To do that we use the closing prices of the two
bars to derive our Change figure and we get our Range by deducting the intra-day high from the intra-day low on our High Volume Day.
You will notice that the RCR comes to 69.4%. This does not quite meet our 70% minimum ratio. This example has been used however, to demonstrate the need for us to be flexible enough to accept a half a percent short fall. I could have simply
used the JBH example taken from the 16 and 17 December 2009 (where the RCR was in excess of 100%) and never have brought the above example to your attention, but
I think it is important to see where some leeway can be given because trading the market is not an exact science. We now set our Stop-loss at the intra day high of the previous days price bar.
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As I said earlier, I back tested the RCR technique using the original rules in down markets and I was unable to satisfy Rules #1 and #2 for various reasons. But making the adjustments as outlined above, I had far more success with various stocks
over various time frames ranging from 2007 – 2011. In the above example, the RCR is now calculated using both days, pretty much
as we showed in the previous article. Using our days shown in Fig. 4, our RCR calculation would look like this:
So now onto the second of the reader’s questions. “How do I find these stocks
to trade?” Well in both instances I use an inbuilt feature of my charting program that allows me to do a search for the Daily Highest Volume changes. Once the top 50 tops in this category have been found by my program for me, I do an eyeball scan of them
all, looking for price bars that appear likely to satisfy Rule #1 and Rule #2 at a glance. I then investigate further and calculate the RCR manually.
Secondly, as I trawl through and eyeball each individual stock my ASX200 watch list, I look out for price bars that appear likely to satisfy Rule #1 and Rule #2 and investigate further when I think I’ve found something.
When back testing this technique for both my own personal curiosity and for last week’s article, I randomly selected time frames and stocks. There was no rhyme
or reason for it, but this is the best way to back test. Don’t attempt to deliberately seek out stocks or set ups that you think will prove your theory. Come up with your theory, then see if the market contains the evidence required to support your theory.
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Through this process I found that the RCR technique, for those wanting to go Long in the market, favoured stocks that were coming off a low. It wasn’t planned, it
was purely the direction that the development of the rules and the back testing sent me in.
THE SUCKER RALLY By Karen Wong
What goes up and never comes down? A person’s age. The more common phrase is what goes up must come down. If something is increasing or rising it will eventually decrease or fall. It’s a gravity concept equally valid for describing what
many view as a sucker’s rally in the current market. A sucker’s rally is found in a bear market and appears on the chart as a short
term rally followed by a reversal of price to the downside. Once price starts moving down and makes a low, lower than the previous low a Dead Cat Bounce pattern is
confirmed. Like the Dead Cat Bounce the sucker rally is identified in hindsight. In the midst of a market rally we want to find clues as to whether the rise in
price is the start of a bigger uptrend or a temporary rise before another dramatic
plunge. Looking back on the Tech crash and the GFC market crash there was one indicator keeping traders out of any potential sucker rally.
Many readers have heard of using 2 moving averages in what is known as a Golden Cross. A Golden Cross is when two moving averages cross over one another. Applying the concept of these 2 moving averages to an index utilizes the Golden Cross
as a market filter. In this example we are using a 9 period Exponential Moving Average or EMA and a 21 period EMA to apply it to the XJO Index also known as the
ASX 200. According to the Market Index website, the Golden Cross values of the 9 period EMA and the 21 period EMA works well as a filter in the Australian Market.
May 2nd, 2020 A publication of Algobot Pte Ltd CRN201604500D. Copyright © 2020
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The Golden Cross Market Filter rules are simple:
(1) Buy when the 9 EMA is above the 21 EMA
(2) Avoid buying or sell when the 9 EMA is below the 21 EMA.
The Golden Cross filter is not a stand alone system. Used together with an existing strategy it is useful as an added confirmation when making the decision to trade or
not to trade. Let’s observe the application of this simple strategy on a couple of historical
market crashes.
Figure 1
Source: Market Index In the Tech Crash of 2002/ 2003, the Golden Crossover occurs at the marked star
where the EMA 9 in red crosses down under the EMA 21 in blue. This is followed by the two rallies marked at 1 and 2. We see the EMA 9 continue below the EMA 21.
Using the Golden Cross filter rule we should avoid buying in this market. The rallies at 1 and 2 are actually sucker rallies, confirmed as price turned downwards. When price finally makes a bottom and recovers you see the EMA 9 crossover above the EMA 21.
Any trader who reentered the market from this point on joined in the recovery. Remember the Golden Cross filter rule tells us to buy when the EMA 9 is above the
EMA 21.
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Figure 2
Source: Market Index
Let’s look at the GFC Crash of 2008/2009. The Golden Crossover is at the
marked star. The EMA 9 crosses below the EMA 21. Again at the area of the rallies marked at 1 and 2, the EMA 9 is still under the EMA 21. It’s a Golden Cross filter signal telling us to avoid buying in this market. These 2 rallies reveal themselves to be
nothing more than sucker rallies. The downtrend in price continued. Getting back into the market at the cross over of the EMA 9 rising above the EMA 21 allowed a trader to
enter into the market as prices started to recover.
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Figure 3
This is the state of the current market at Figure 3. We are still in the rally phase and the EMA 9 is still beneath the EMA 21. Applying the Golden Cross filter rules we
should avoid buying at this time. It is risky to reenter the market unless you have a good strategy for trading market rallies such as the ATR trend crossover with tight
stop losses. If price reverses and makes a low that is lower than the previous low at 4403 a
Dead Cat Bounce pattern is defined. The potential sucker rally is in turn confirmed by
this pattern. Spotting a sucker rally demonstrates what goes up must come down.
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NEWSLETTER OUTLOOK: TRADE WHAT YOU SEE By Daryl Guppy
The ATR on the XJO shows a pullback to the ATR value, followed by a
rebound away from the ATR. This is confirmation of an uptrend.
The behaviour of the XJO means we need to reposition the uptrend line.
The pull back and rebound confirms trend continuation so we need to redefine the trend in the light of this activity. This is also consistent with the ATR behaviour.
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These two indicators suggest uptrend continuation. However, as noted
in the manage notes, there remains a contradiction between economic conditions and market behaviour. We continue with short term trading from the long side with tight stops and tight protect profit stops is appropriate.
However, we also remain alert for a resumption of the downtrend. There is a diminishing possibility of a dead-cat bounce.
PORTFOLIO CASE STUDIES: MONEY MANAGEMENT
Starting cash position $100,000 - no brokerage or slippage 2% of risk = $2,000
NOTE Entered date is the newsletter date which contains the case study discussion.
OVERALL PROFIT TO DATE
The case study trade 5GN is closed for a profit of $227.27 or 1.14%. The case
study portfolio return is $54,142 or 54.1% for the period starting July 1, 2019 and ending June 30, 2020.
For the year starting July 1, 2018 – 2019 the case study portfolio return is $91,794 or 91.79%.
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The case study portfolio return is $156,450 or 156.45% for the period starting July 1, 2016-2017. Note that this includes 6 to 21 trade results. The case study portfolio return is $92,464.15 or 92.5% for the period starting July 1, 2015- 2016.
Equity trade size is generally kept constant at $20,000 in the case study portfolio so it is easier to compare the case study trades over this and other years. Unless otherwise
noted in the trade management notes, all equity case study trades are managed on an end of day basis, with the exit taken at the best reasonable price on the day after the stop loss is triggered.
CUSTOMER CAUTION NOTICE AND COPYRIGHT Algobot Pte Ltd (CRN 201604500D) Pte Ltd is not a licensed investment advisor. This publication, which is generally available to the public, falls under the Singapore Media Advice provisions. The information provided is for educational purposes only and does not constitute financial product advice. These analysis notes are based on our experience of applying technical analysis to the market and are designed to be used as a tutorial showing how technical analysis can be applied to a chart example based on recent
trading data. This newsletter is a tool to assist you in your personal judgment. It is not designed to replace your Licensed Financial Consultant or your Stockbroker. It has been prepared without regard to any particular person's investment objectives, financial situation and particular needs because readers
come from diverse backgrounds, with diverse objectives and financial situations. This information is of a general nature only so you should seek independent advice from your broker or other investment advisors as appropriate before taking any action. The publication should not be construed by any reader as Publisher's (i) solicitation to effect, or attempt to effect transactions in securities, or (ii) provision of
any investment related advice or services tailored to any particular individual's financial situation or investment objective(s). Readers do not receive investment advisory, investment supervisory or investment management services, nor the initial or ongoing review or monitoring of the reader's individual investment portfolio or individual particular needs. Therefore, no reader should assume that the Publisher serves as a substitute for individual personalized advice from a licensed financial professional of the reader's choosing. The decision to trade and the method of trading is for the reader alone to decide. The reader maintains absolute discretion as to whether or not to follow any portion of
our content. Publisher does not offer or provide any implementation services, nor does it offer or provide initial or ongoing individual personalized advice. It remains the reader's exclusive responsibility to review and evaluate the content and to determine whether to accept or reject any strategy and to correspondingly determine whether any such strategy is appropriate for a reader's individual situation. Publisher expresses no opinion as to whether any of strategy contained on this publication is appropriate for a reader's individual situation. The author and publisher expressly disclaim all and any liability to any
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enables us to track the original source of pirate copies. If we find that you are redistributing the newsletter then, at our discretion, we will reduce the length of your paid subscription by the value of the multiple copies we believe you are circulating. Share with nine friends, and we cut your subscription period by 90%. Contributed materials reflect the personal opinion of the authors and are not necessarily those of the publisher. Articles accurately reflect the personal views of the authors. Stocks held by the authors are marked* and are not to be taken as a trading recommendation. This is not a newsletter of stock tips. Case study trades are notional and analysed in real time on a weekly basis. Any past
investment-related performance . referred to may not be indicative of future results, and therefore, no reader should assume that the future performance of any specific investment, investment strategy will be suitable or profitable for a reader's portfolio, or equal historical or anticipated performance level(s). Algobot Pte Ltd does not
receive any benefit or fee from any of the stocks reviewed in the newsletter. Algobot Pte Ltd is an independent international financial education organization and research is supported by subscription fees.
Please note that in the interest of timely publication of the newsletter, this document may be incompletely proofed. OFFICES; Algobot Pte Ltd Head Office, 20 Cecil Street,#20-01 Equity Plaza, Singapore 049705, Singapore, 22 Hibernia Crescent, Brinkin, Darwin, Australia, Room B105-A17, No.14, Chaoyangmen Nandajie, Chaoyang District, Beijing, China.
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