Session 11: Technical Analysis

Aswath Damodaran
26 Aug 201417:39

Summary

TLDRThe speaker explores the world of technical indicators in stock trading, acknowledging skepticism but recognizing their value for some investors. They categorize indicators into contrarian, momentum, smart investor, and mystical force-based approaches. The talk emphasizes understanding the behavioral basis of each indicator, testing their effectiveness, managing trading costs, and finding the right holding period for successful investment strategies.

Takeaways

  • 😀 Technical analysis is based on the belief that stock prices reflect all available information and tend to move in trends.
  • 🧐 The speaker is skeptical of technical indicators but acknowledges their effectiveness for some investors.
  • 📉 Market overreactions are a common belief, suggesting that markets often overreact to news, leading to potential reversals.
  • 📈 Odd lot trading, mutual fund cash positions, and investment advisor sentiment are examples of contrarian indicators used to exploit market overreactions.
  • 📊 Normalized P/E ratios, market breadth, support and resistance lines, and moving averages are indicators used to detect shifts in demand and supply.
  • 🌟 Momentum indicators like relative strength and trend lines are used to identify and follow market trends.
  • 📊 Trading volume in conjunction with price can provide additional insights into market momentum.
  • 🤓 'Smart money' indicators, such as specialist short sales and insider trading, are based on the assumption that certain investors have superior information.
  • 🌀 Theories like Elliott Wave and Dow Theory suggest markets are influenced by mystical cycles and patterns, independent of fundamentals.
  • ⚠️ It's important to understand the behavioral assumptions behind a technical indicator before using it.
  • 📝 Testing and verification are crucial when evaluating the effectiveness of a technical indicator.
  • 💰 Consideration of trading costs and time horizons is essential for successful implementation of technical indicators in a trading strategy.

Q & A

  • What is the foundation of technical analysis according to the script?

    -The foundation of technical analysis is the belief that stock prices are determined by demand and supply, and that these prices tend to move in trends which persist for periods of time. Technical analysts also believe that by using technical indicators, they can detect shifts in demand and supply before they happen.

  • What is the main assumption that differentiates technical analysis from the random walk theory?

    -The main assumption that differentiates technical analysis from the random walk theory is that technical analysts believe stock prices move in trends, while random walk theorists do not believe in the existence of such trends.

  • What is the concept of 'odd lot trading' as a technical indicator?

    -Odd lot trading is a measure that looks at the buying patterns of small individual investors who are more prone to overreacting to news. If there is a significant increase in odd lot trading, it might suggest an overreaction to good or bad news, and a contrarian investor might consider selling the stock.

  • How do cash positions in equity mutual funds relate to technical indicators?

    -Equity mutual funds holding cash instead of being fully invested can be an indicator of market sentiment. If mutual funds hold a lot of cash, it might suggest a collective bearish outlook, and a contrarian investor might choose to buy stocks in such a scenario.

  • What is the significance of investment advisor sentiment in technical analysis?

    -Investment advisor sentiment is used as a contrarian indicator. If a high percentage of investment advisors are bullish, it might be a signal to sell stocks, as it is assumed that the majority might be overreacting for the wrong reasons.

  • What is the purpose of using normalized P/E ratios as a technical indicator?

    -Normalized P/E ratios are used to detect if stocks are trading at a higher multiple of earnings than the historical norm. If they are, it might indicate that the stocks are overpriced, and a technical analyst might decide to sell.

  • What does the 'breadth of the market' refer to and how is it used in technical analysis?

    -The breadth of the market refers to the number of stocks advancing compared to the number declining over a given period. A broad market indicates a healthy trend, while a narrow market where a few stocks are driving the index up might be less bullish.

  • What is the significance of support and resistance lines in technical analysis?

    -Support and resistance lines are horizontal lines on a stock chart that represent significant price levels where the stock has historically had trouble moving above (resistance) or below (support). Breaking through these lines can signal a shift in demand and supply.

  • How do moving averages serve as technical indicators?

    -Moving averages smooth out price data over a specific period and can indicate the trend direction. A stock moving above a moving average might be seen as bullish, while moving below it could be bearish.

  • What role does trading volume play in conjunction with price indicators in technical analysis?

    -Trading volume, when used in conjunction with price indicators, can provide insights into the strength of a price movement. A sudden surge in volume with a price increase might signal a strong shift in demand and supply.

  • What are 'smart investor indicators' and how do they work in technical analysis?

    -Smart investor indicators are based on the actions of investors who are believed to have superior knowledge or insight, such as specialists on the New York Stock Exchange or company insiders. Following their actions can provide clues about market sentiment and potential shifts in demand and supply.

  • What are the mystical forces indicators in technical analysis and how do they differ from other indicators?

    -Mystical forces indicators, such as the Elliott Wave or Dow Theory, suggest that markets are driven by underlying patterns or cycles that are independent of fundamentals. They differ from other indicators as they are based on historical patterns rather than current market data or investor behavior.

  • What are some suggestions for using technical indicators effectively?

    -To use technical indicators effectively, one should understand the behavioral basis behind the indicator, verify its effectiveness through testing, manage trading costs, and ensure the holding period is appropriate for the indicator's time horizon.

Outlines

00:00

🤔 Skepticism and the Foundations of Technical Analysis

The speaker begins with an admission of skepticism towards technical indicators and price patterns but acknowledges their potential efficacy. They set the stage for a discussion on technical analysis, highlighting its foundational belief in the influence of demand and supply on stock prices. The speaker also addresses the role of both rational and irrational factors in shaping market dynamics. A key point is the technical analyst's belief in trends and the possibility of predicting shifts in demand and supply before they occur, which is central to the value creation in technical analysis. The speaker then introduces the concept of categorizing technical indicators based on the presumption of market rationality that they exploit.

05:01

🔄 Exploiting Market Overreactions with Contrarian Indicators

This paragraph delves into the first set of technical indicators that aim to exploit the market's tendency to overreact to news, both good and bad. The speaker references psychological studies and behavioral finance research to support the existence of market overreactions. They provide three examples of such indicators: odd lot trading, which assumes small investors are prone to overreacting; mutual fund cash positions, suggesting that high cash levels indicate bearish sentiment among mutual funds; and investment advisor sentiment, where a high bullish percentage among advisors is a contrarian sell signal. The common thread is using the behavior of typical investors as a contrarian indicator to make trading decisions.

10:02

📊 Detecting Shifts in Demand and Supply with Fundamental Indicators

The speaker moves on to the second set of technical indicators designed to anticipate shifts in market demand and supply. They discuss the use of normalized P/E ratios to determine if stocks are over or undervalued relative to their historical earnings multiples. The breadth of the market, support and resistance lines, moving averages, and changes in trading volume are all cited as tools to detect such shifts. The emphasis is on using fundamental indicators to identify market trends and potential turning points, with the understanding that these indicators can signal changes in the broader market dynamics.

15:03

🚀 Harnessing Market Momentum with Momentum Indicators

In this section, the speaker discusses the third set of technical indicators that are based on the concept of market momentum, where stocks tend to continue in the direction of their recent movement. They introduce the Relative Strength Index (RSI) as a momentum indicator, along with trend lines and the significance of trading volume in conjunction with price movements. The speaker suggests that stocks with high price momentum and high trading volume are stronger momentum picks, while those with low trading volume may be less reliable. The paragraph underscores the importance of detecting and riding market momentum to make informed trading decisions.

🧙‍♂️ Following the 'Smart Money' with Smart Investor Indicators

The fourth paragraph explores technical indicators that rely on the actions of 'smart money' or knowledgeable investors to predict market movements. The speaker mentions specialist short sales on the New York Stock Exchange and insider trading as examples of such indicators. The assumption is that these insiders have superior information and their trading activities can signal future market trends. However, the speaker also points out the limitations, such as the legality of insider trading and the delayed information from SEC filings, which may affect the reliability of these indicators.

🌀 The Mystical Forces of Market Movements

The final paragraph addresses the fifth set of technical indicators, which are based on the belief that markets are influenced by mystical or cyclical forces, such as the Elliott Wave theory and the Doubt theory. These indicators suggest that historical patterns and cycles can predict market movements, independent of fundamental analysis. The speaker expresses some skepticism about these indicators due to their reliance on abstract concepts rather than concrete data. They conclude by emphasizing the importance of understanding the behavioral assumptions behind any technical indicator and being disciplined in testing and applying them within an investment strategy.

📝 Conclusion and Advice on Using Technical Indicators

In conclusion, the speaker summarizes the various types of technical indicators discussed and offers advice for investors considering their use. They stress the importance of understanding the behavioral basis of each indicator, verifying their effectiveness through testing, managing trading costs, and finding the right time horizon for each strategy. The speaker also cautions against blindly following technical indicators without a clear rationale and encourages investors to be disciplined and strategic in their approach to using these tools in their investment decisions.

Mindmap

Keywords

💡Technical Indicators

Technical indicators are tools used by traders to analyze past price movements and predict future price trends. They are essential to technical analysis, which involves studying market data to make investment decisions. Examples from the script include measures like the odd lot trading measure and mutual fund cash positions.

💡Market Overreaction

Market overreaction refers to the tendency of stock prices to react excessively to news, resulting in significant price movements followed by corrections. This concept is crucial for certain technical indicators that aim to exploit these overreactions for profit. The script mentions psychological studies and behavioral finance research supporting this phenomenon.

💡Contrarian Investing

Contrarian investing is a strategy that involves going against prevailing market trends. Investors who use this approach believe that the majority is often wrong, so they buy when others sell and sell when others buy. The script provides examples such as the odd lot trading measure and mutual fund cash positions.

💡Demand and Supply

Demand and supply refer to the fundamental economic forces that determine the price of stocks. Technical analysts believe that prices are set by these forces, influenced by both rational and irrational factors. The script discusses how technical indicators aim to detect shifts in demand and supply before they occur.

💡Momentum

Momentum in stock trading refers to the tendency of stocks to continue moving in the same direction for a period of time. Momentum indicators help traders identify stocks that are likely to keep rising or falling. The script mentions relative strength as a common momentum indicator.

💡Support and Resistance Lines

Support and resistance lines are key concepts in technical analysis that represent price levels where a stock tends to stop and reverse its direction. Support lines indicate levels where buying interest is strong enough to prevent the price from falling further, while resistance lines indicate levels where selling interest is strong enough to prevent the price from rising further. The script explains how breaking these lines can signal significant market shifts.

💡Moving Averages

Moving averages are a type of technical indicator that smooth out price data to identify trends over a specific period. They are used to detect shifts in demand and supply. The script mentions that moving averages can indicate bullish or bearish signals depending on whether the stock price moves above or below these averages.

💡Volume

Volume refers to the number of shares traded in a stock over a specific period. Changes in volume can indicate shifts in demand and supply, providing insights into potential price movements. The script highlights how trading volume, combined with price indicators, can be a powerful tool for detecting market changes.

💡Insider Trading

Insider trading involves buying or selling stocks based on confidential information not available to the public. While illegal insider trading is prohibited, legal insider trading data from SEC filings can provide valuable insights. The script discusses how following insiders' buying and selling activities can be used as a technical indicator.

💡Behavioral Assumptions

Behavioral assumptions refer to the underlying beliefs about market participants' behavior that justify the use of technical indicators. For instance, the belief that individual investors overreact to news is a behavioral assumption that supports the odd lot trading measure. The script emphasizes the importance of understanding these assumptions when using technical indicators.

Highlights

Technical analysis assumes that prices are set by demand and supply, which is influenced by both rational and irrational factors.

Technical analysts believe that stock prices tend to move in trends which persist for periods of time.

The key to making money with technical analysis is detecting shifts in demand and supply before they happen using technical indicators.

Technical indicators can be categorized into buckets based on their underlying behavioral assumptions.

One assumption is that markets overreact to news, both good and bad, and this can be exploited for trading opportunities.

Contrarian indicators include odd lot trading, mutual fund cash positions, and investment advisor bullishness.

Odd lot trading is used as a contrarian indicator assuming small investors overreact to news.

High mutual fund cash positions indicate bearishness and can be used as a signal to buy stocks.

Investment advisor bullishness is used as a contrarian signal to sell stocks.

Normalized P/E ratios and market breadth are used to detect shifts in demand and supply.

Support and resistance lines are key technical indicators for predicting price movements.

Moving averages help detect shifts in demand and supply and are commonly used in technical analysis.

Momentum indicators, such as relative strength, help identify stocks that are likely to continue their current trends.

Volume indicators, combined with price movements, can provide additional insights into market momentum.

Some technical indicators rely on tracking the actions of perceived 'smart' investors, such as specialists and insiders.

Elliott Wave and Dow Theory are examples of technical indicators based on the idea that markets are driven by long-term cycles.

It's important to understand the behavioral basis of any technical indicator and verify its effectiveness through testing.

Effective use of technical indicators requires timely trading and controlling trading costs.

Transcripts

play00:00

hi welcome back I'm a skeptic when it

play00:03

comes to technical indicators price

play00:05

patterns charts volume indicators but

play00:08

that doesn't mean they don't work now

play00:10

there are people out there very good at

play00:12

using them to seemingly detect what will

play00:14

happen to stock prices in the future so

play00:16

setting aside skepticism for the moment

play00:19

I'd like to look at the indicators that

play00:20

get used up there and look at the basis

play00:23

or try to categorize them at least on

play00:25

why the people who use them may think

play00:28

they work so let's set the table when

play00:30

you look at the foundations of technical

play00:32

analysis it's straightforward it the

play00:36

technical analysts of people who believe

play00:37

in technical analysis believe that

play00:39

prices set by demand and supply who

play00:42

disagree with that they'd also argue

play00:44

that supply and demand is set by new

play00:46

individually said by lots of factors

play00:48

some rational and some irrational and

play00:50

then markets continually weigh all these

play00:53

factors that again is beyond questioning

play00:56

I think everybody would agree that there

play00:58

are factors in your rational and

play00:59

irrational the drive supply and demand

play01:01

the third assumption is what sets

play01:04

technical analysis are far from the

play01:06

random Walker's technical analysts

play01:08

believe that stock prices tend to move

play01:11

in trends which persist for periods of

play01:14

time a random walk Walker on the other

play01:16

hand doesn't believe that but that's the

play01:18

basis for technical analysis and finally

play01:20

and this I think is a key part of

play01:23

technical analysis that the key to

play01:25

making money is not just understanding

play01:27

demand and supply but getting ahead of

play01:30

shifts in demand and supply that

play01:32

technical indicators can allow you to

play01:34

detect those shifts before they happen

play01:36

that again that is I think that the

play01:39

driver of value creation in technical

play01:43

analysis see that's what I'd like to do

play01:45

there are hundreds and hundreds of

play01:46

technical indicators out there I don't

play01:48

know I'm not even familiar with many of

play01:50

them but I'd like to start putting the

play01:53

technical indicators that I'm familiar

play01:55

with into buckets and as you start

play01:57

seeing other technical indicators I

play01:59

think it's well worth the effort of

play02:01

putting them into buckets

play02:02

what am I talking about every set of

play02:04

technical indicators is built on some

play02:06

presumption of more

play02:07

to rationality that marketed rationality

play02:10

is what you're trying to exploit with

play02:12

that technical indicator and Midas will

play02:14

be open about what your behavior what

play02:17

behavior component you're building on

play02:19

with the technical indicator so let's

play02:21

cut to the chase here's the first one

play02:24

there is substantial evidence and a lot

play02:27

of people have believed that markets

play02:28

overreact they overreact to good news

play02:30

and they overreact to bad news and this

play02:31

is backed up both both by psychological

play02:34

studies and behavioral finance research

play02:37

in markets so let's say you believe that

play02:40

markets do overreact and the evidence

play02:42

you sure to point it up is when you see

play02:44

extreme movements in stock prices you

play02:47

often see movements back in the other

play02:49

direction if you remember the last

play02:50

session or two sessions ago we talked

play02:52

about the negative serial correlation in

play02:55

very long period returns and the bigger

play02:58

the drop or the increase in stock prices

play03:00

the bigger the the reversal seems to be

play03:03

of course the skeptic might say if

play03:05

that's in fact the case that that

play03:07

markets not overreacting why are there

play03:10

more contrarian investors out there and

play03:12

why are they able to push the price back

play03:14

working why is that our drift in the

play03:16

price now and if if in fact there's

play03:20

overreaction is it or is it more

play03:22

prevalent with some kinds of information

play03:24

than others is it for instance more

play03:25

likely with an acquisition announcement

play03:28

and with an Onix announcement or are

play03:30

there no differences so that's what

play03:32

technical indicate the first set of

play03:34

technical indicators look at its ways to

play03:36

take advantage of market overreaction

play03:38

and here are three examples there is a

play03:42

measure called the odd lot trading

play03:44

measure basically look at it before

play03:47

brokerage houses before online brokerage

play03:50

became became par for the course if you

play03:53

went through a traditional broker there

play03:56

was a big deal you made about whether

play03:58

you bought me even lot or an odd lot

play04:00

even lords are lots of a hundred shares

play04:02

of peace odd lords or shares of

play04:04

thirty-five forty fifty five ships

play04:06

if you assume that odd lots are bought

play04:09

by small individual investors and you

play04:12

further assume that individual those

play04:14

small individual investors are more

play04:16

prone to overreacting and these are

play04:18

assumptions I'm not I'm not agreeing

play04:20

with any of these statements then here's

play04:22

what you could do you could look for a

play04:24

jump in our law trading and argue that

play04:27

if there's a lot of odd lot buying of a

play04:29

stock that you should be selling that

play04:31

stuff because those are lot of traders

play04:33

after all are more likely to get over

play04:35

enthused about good news and so no and

play04:38

buy too much after good news itself too

play04:40

much after bad news

play04:41

so outlaw trading becomes a kind of

play04:43

stand-in for the man on the street the

play04:46

individual investor and with the

play04:48

assumption that that investor is more

play04:50

likely to be the overreacting the second

play04:53

actually moves up the spectrum it looks

play04:55

at cash positions and mutual funds

play04:57

equity mutual funds if you look at

play04:59

equity mutual funds in theory these

play05:01

these mutual funds tell you that they're

play05:03

going to invest all the money they get

play05:04

from you in stocks but in practice they

play05:06

don't most of them hold some of the

play05:09

money you send them in cash why did they

play05:11

do it partly for know partly because

play05:13

they can't have everything invested all

play05:15

the time but also because they are they

play05:19

take market timing positions in other

play05:21

words if they're bullish about markets

play05:22

they will try to get you cash into the

play05:24

market right away if they're bearish

play05:26

they will actually hold the money as

play05:27

cash so here's a second or a second

play05:31

technical trading rule that's a

play05:32

contrarian draw you look at the mutual

play05:35

fund cash position if the mutual fund

play05:37

cash position is high that means mutual

play05:39

funds shall be are are collectively

play05:41

bearish right you do the exact opposite

play05:43

mutual funds of bearers you'd think that

play05:45

that you basically go out and buy stocks

play05:48

of mutual funds of bullets you go out

play05:50

and sell stocks again effectively as

play05:52

saying mutual funds are my stand-in for

play05:54

the typical investor they're far more

play05:56

likely to be overreacting

play05:58

to be doing the wrong thing I'm gonna do

play05:59

the exact opposite and here's the third

play06:02

technical trading rule that's built on

play06:03

contrarian investing investment if there

play06:07

are investment advisors out there who

play06:08

put out newsletters and there are

play06:10

studies there are actually surveys that

play06:11

look at the bullish and bearish

play06:14

proportions

play06:15

investment advisors so here again here's

play06:18

what you do you look at the percentage

play06:19

of investment advisors or bullish if

play06:21

that number is really high you sell

play06:23

stocks why because most investors are

play06:26

bullish and you assume that investors

play06:27

overreact then they're being bullish for

play06:30

the wrong reason so you sell when

play06:31

they're buying and buy when they're

play06:33

selling but in all three what you're

play06:35

trying to do is get a standard for the

play06:38

typical investor and go against the

play06:40

typical investor contrarian

play06:42

technical trading rules here's the

play06:44

second set of trade technical indicators

play06:46

I want to look at the second title set

play06:48

of technical indicators try to detect

play06:50

shifts in demand and supply before they

play06:53

have it so for instance there are there

play06:56

are people who look at normalize p/e

play06:59

ratios what is that basically they look

play07:00

at the average earnings over time and

play07:02

look at what multiple of earning stocks

play07:03

are trading at right now here's the rule

play07:05

they use if stocks are trading at a much

play07:07

higher multiple of earnings and the

play07:09

historic norm that that smoothed out

play07:11

line that you see in there is there then

play07:14

they're over price they sell below

play07:15

they're under priced again you are

play07:18

trying to detect shifts in demand and

play07:20

supply using some fundamental indicators

play07:22

something that you can point to and say

play07:24

hey that tells me that that something is

play07:27

going to change so here are measures of

play07:29

technical indicators right essentially

play07:32

you could look at the breadth of the

play07:33

market what is the breadth of the

play07:34

markets the number of stocks that

play07:36

advance on any given period a day a week

play07:39

a month relative to the number of stocks

play07:42

are declined so the higher the number of

play07:44

stocks that go up relative the number

play07:46

the broader the market how is that used

play07:48

if you have enough movement in the

play07:50

market that is not accompanied by

play07:52

breadth in other words markets have the

play07:55

overall index goes up but it's being

play07:56

caused by a few stocks jumping in price

play07:59

rather than a bunch of the vast

play08:03

proportion of stocks going up that is

play08:04

less bullish then as price increase it's

play08:08

accompanied by a broad market similarly

play08:11

a drop in the market that's caused by

play08:13

just three or four stocks is less

play08:14

dangerous than one that's caused by 70

play08:18

percent of stocks dropping at about the

play08:19

same time the second is support and

play08:22

resistance lines Europe talked of this

play08:23

all the time from charters a stock

play08:26

that's at 28 50 29 29 25 goes through

play08:30

the $30 mark which is viewed as a major

play08:33

resistance line that's mute as a bullish

play08:35

sign that you've gone through a

play08:37

resistance line on the other hand if you

play08:39

have a stock that's dropped in price

play08:41

from 31 to 27 to twenty five to twenty

play08:44

three but it stayed above 20 for a long

play08:46

time but then it drops below 20 the fact

play08:49

that a drop below that $20 the support

play08:51

line is viewed as a bearish indicator

play08:54

again it did there the Assumption here

play08:57

is when you go through a resistance line

play09:00

a drop through a support line something

play09:02

happens in the market and demand supply

play09:04

line shift so when you go go below the

play09:07

$20 no support line effectively you see

play09:11

a whole bunch of selling supposedly

play09:13

coming into the market causing the stock

play09:14

to go down even more moving averages

play09:17

have been a favored device for people

play09:19

who want to detect shifts in demand and

play09:21

supply but the argument again is of a

play09:23

stock moves above a moving average for

play09:26

over the last 52 weeks 26 weeks and

play09:29

different Indic different charges use

play09:30

different indicators that is viewed as a

play09:33

bullish sign or a bearish sign depending

play09:34

on whether the stock moves above a

play09:36

moving average line or below moving

play09:38

average line and finally shits in volume

play09:40

are often you also used in conjunction

play09:43

with price indicators as measures of are

play09:46

we seeing a shift in demand and supply a

play09:49

sudden surge in volume is often viewed

play09:51

as a sign that something is changing

play09:53

under the surface even if prices are not

play09:56

changing so the first set of indicators

play09:58

are contrarian indicators you're looking

play10:00

for ways to go gates for the typical

play10:02

investor whether it's a mutual fund an

play10:04

individual investor or or a newsletter

play10:08

writer is is thinking the second set of

play10:11

indicators are indicators that tried

play10:13

to get ahead of demand and supply ships

play10:15

in demands of life the third set of

play10:17

indicators build on something we talked

play10:19

about a couple of sessions before which

play10:21

is the force of momentum markets of

play10:23

momentum and stocks go up they tend to

play10:25

keep going up and stocks go down they

play10:27

tend to keep going down and the

play10:29

evidences we saw is fairly strong at

play10:31

least over certain time plates one year

play10:33

period six-month time periods they get

play10:35

weaker as you go to longer time periods

play10:37

if you believe there's market momentum

play10:39

then you're going to be looking for

play10:41

momentum indicators one of the oldest

play10:43

and most widely is momentum indicators

play10:45

is called relative strength sounds fancy

play10:47

but here's what you do you take the

play10:49

price now you divide by the price six

play10:51

months ago so stocks that have gone up

play10:53

the most will have the highest relative

play10:54

strength so if you're a believer in

play10:56

momentum you're going to go with the

play10:57

stock so that the highest relative

play10:59

strength and you sell those stocks which

play11:01

have the most the lowest relative

play11:03

strength where the price has gone down

play11:04

relative to the historical price you can

play11:07

also use trend lines where essentially

play11:08

you try to fit lines through graphs and

play11:10

you see how your stock is behaving

play11:12

relative to a trend line and if you

play11:14

notice a trend line that's upward

play11:16

sloping that sign up that's a sign of

play11:18

momentum so even if the stock is zigzags

play11:20

if there's a positive trend line it's

play11:22

viewed as a sign of momentum that's good

play11:24

news whereas the tendrán trend line is

play11:26

downward sloping it's bad news so

play11:28

essentially again you're looking for

play11:30

measures that will let you detect when

play11:32

there's momentum in a stock and write

play11:34

that momentum the hidden weapon or the

play11:38

secret weapon for many analysts has

play11:39

become trading volume which in

play11:41

conjunction with momentum might give you

play11:43

even more information so if you look at

play11:46

stocks which have price momentum and

play11:49

high trading volume it looks like

play11:51

they're even better momentum picks and

play11:53

stocks with high price momentum but low

play11:56

trading volumes so by combining price

play11:59

and volume you might actually be able to

play12:01

get much more important technical

play12:03

indicators and one of the nice things

play12:05

about the last twenty years is the data

play12:06

that is available in volume has become

play12:08

much richer you can do things with

play12:10

trading volume you could not have done

play12:12

two decades ago three decades ago

play12:15

the fourth group of technical indicators

play12:18

you look for somebody that you believe

play12:20

is smarter than you are somebody who's a

play12:22

guru investor somebody can lead the way

play12:24

somebody who knows more than you do and

play12:26

you try to do what they're doing here a

play12:28

couple of examples of smart investor

play12:30

indicators one is specialists on the New

play12:33

York Stock Exchange the people on the

play12:34

floor who supposedly know more than you

play12:36

are I about demand and supply and the

play12:38

stuff so in fact as an indicator called

play12:41

specialist short sales where you can see

play12:43

which dog specialists are selling short

play12:45

on and how much so essentially if if you

play12:48

buy into the notion that experts know

play12:50

more than you do and specialists are

play12:52

your experts if they're selling short

play12:54

you're gonna sell as well so this so

play12:57

specialist short sales becomes an

play12:58

indicator as to when you should be

play13:00

getting out of the market you could also

play13:02

look at insiders and companies insiders

play13:04

of course are defined by the SEC did

play13:06

include not just managers but directors

play13:08

and and people are all more than 5% of

play13:11

stock now your argument might be that

play13:14

those insiders know a great deal more

play13:15

about the company than you do and you

play13:17

probably be right so you could track

play13:19

what they're doing by looking at what

play13:21

they're buying or selling then you might

play13:23

try then you might do the same some

play13:25

they're buying you buy the only problem

play13:28

is the only data we have an insider

play13:30

buying and selling comes from the

play13:31

filings and insiders make with the SEC

play13:34

but those filings almost by definition

play13:35

cannot be based on information because

play13:38

that'd be like illegal insider trading

play13:40

so the problem with using the the

play13:46

insider buying and selling that you get

play13:48

from the SEC filings is you're getting a

play13:51

subset of insiders who are legal

play13:53

insiders what you'd really like to get

play13:55

your hands on is those illegal insider

play13:57

buying and selling but that of course is

play13:59

difficult to do though you could track

play14:01

trading volume maybe you can get ahead

play14:02

of the game so that's a fourth factor

play14:05

which brings me to the fifth and final

play14:06

set of technical indicators and these

play14:08

make me a little queasy because these

play14:10

are the indicators that argue that

play14:12

markets are driven by mystical forces

play14:15

that cause prices to move

play14:17

certain ways of a very long time periods

play14:20

so for instance you have the Elliott

play14:22

Wave which actually looks at waves and

play14:24

markets and it it breaks them down into

play14:27

into various sizes and it tells you

play14:29

where in a good wave you are it's an

play14:31

amazingly intricate process I have no

play14:34

idea what what underlies the process

play14:36

other than the fact that seems to be

play14:38

suggesting that history that that

play14:40

historical wave is a much stronger

play14:42

factor than any fundamentals you got the

play14:45

doubt theory which also argues that

play14:47

markets have these big movements over

play14:50

time and those movements happen no

play14:52

matter what the fundamentals are and

play14:54

from here you also have less less well

play14:57

known waves and cycles that drive

play15:00

markets but to the extent that you do

play15:02

believe that markets are governed by the

play15:04

by the Stars and by external forces you

play15:07

might in fact decide to use those

play15:09

technical indicators so as I said this

play15:11

is just a small subset of those

play15:13

technical indicators out there and I

play15:15

don't begrudge those people who feel

play15:18

that these technical indicators give

play15:20

them a leg up and investing if you in

play15:23

fact decide to go down this route and

play15:25

use technical indicators here are some

play15:27

of the suggestions I would have first is

play15:29

be very clear on the behavioral basis

play15:32

for why you think a technical indicator

play15:34

works in other words don't just use a

play15:36

technical indicator because it looks

play15:37

good on paper or is delivered returns in

play15:39

the past step back and ask what is it

play15:41

I'm assuming about market behavior that

play15:44

would lead me to believe that this

play15:45

indicator is gonna let me get ahead of

play15:47

the game

play15:47

second when somebody says the technical

play15:50

indicator works don't take them at their

play15:51

word verify test it out see if and in

play15:54

fact work we've talked a few sessions

play15:56

ago about how to test any kind of market

play16:00

indicator beat the market scheme

play16:02

technical indicators paper to the same

play16:04

test third if you're going to use a

play16:06

technical indicator to trade you you

play16:09

almost always have to trade quickly

play16:11

which means your cost will be higher you

play16:13

have to make sure that you keep that

play16:14

balance right that you take it that you

play16:16

trade quickly enough without letting

play16:19

your cost get out of control and here's

play16:21

the follow up most technical trading

play16:23

rules even once with that work require

play16:25

that you're holding period be just set

play16:29

right

play16:30

I call this the Goldilocks phenomenon

play16:32

which means view in some some technical

play16:34

indicators we hold this off for two

play16:35

weeks you make money but if you hold it

play16:37

for four and a half you lose money so

play16:39

you got to be very disciplined about

play16:41

figuring out what those write them or

play16:43

time horizons aren't sticking with them

play16:44

and finally and this was related to the

play16:46

timely trading you've got the controlled

play16:48

trading costs because the nature of

play16:49

technical indicators is you will trade a

play16:52

lot more than everybody else and we've

play16:53

talked about trading costs and not just

play16:55

in terms of brokerage costs but in terms

play16:58

of price impact in terms of bid-ask

play16:59

spreads and also in terms of the taxes

play17:02

tax costs they create for you you got to

play17:05

make sure the returns you make from your

play17:06

trading strategy exceed all those costs

play17:09

so in summary there are lots and lots of

play17:12

technical indicators out there some of

play17:14

them actually work but if you find a

play17:16

technical indicator that works dig

play17:18

deeper look to see what kind of

play17:21

behavioral assumption underlies that

play17:23

indicator and be comfortable with that

play17:25

are you willing to characterize the

play17:27

market the way that indicator

play17:29

characterizes the market but I wish you

play17:32

the very best with your next technical

play17:34

indicator in and incorporating it into

play17:36

your investment strategy thank you for

play17:38

listening

Rate This

5.0 / 5 (0 votes)

Étiquettes Connexes
Technical AnalysisStock MarketTrading StrategiesPrice PatternsVolume IndicatorsMarket TrendsDemand and SupplyBehavioral FinanceContrarian InvestingMomentum Indicators
Besoin d'un résumé en anglais ?