Is it volume which causes price changes, or do price changes cause volume –the hen or the egg, which came first? -H.M. Gartley, Profits in the Stock MarketTo use a homely analogy, volume is to the price movement of stocks as gasoline is to the automobile. If you step on the accelerator of your car, giving the motor more gas, the car will start to travel faster. The more gas you feed it, the greater will be its momentum. Now, when your car has acquired considerable momentum, if you throw the clutch out and coast, your car will travel a considerable distance on the acquired momentum. -Richard D. Wyckoff
The current consensus is that high
frequency trading accounts for 70% of the daily market volume on the
surface and below the surface it is estimated that dark pools
accounted for 32% of the trades in 2012 and this has most likely
increased in 2013. As retail traders it is important to understand
the implications of this, particularly in smaller caps and stocks
that trade a few hundred thousand shares a day and assess who is on
the other side of our trades and how this effects our price
potential. If there is an average of 200K shares traded and 70% of
that is HFT, this leaves a pool of 60K shares for day, swing, and
positions traders, both professional and retail.
There are both positives and negatives
to this. One major positive is that when these algos run amok and in
our direction they can rapidly push price in our favor. This works
best if one is already positioned in the stock. A counter point
negative is that on entry day this can cause price to move beyond a
proper risk/reward price point and also has the effect of deeper sell
offs into the close or lack of follow through the next day because
the demand is mostly manufactured and the absorption of supply is
temporal and mainly intraday. Another negative is that the supply
remaining can be easily moved by a small group of day traders taking
a position then blasting it out to their 10,000 twitter followers.
We can bemoan this effect or we can
realize from historical study that there always has been and always
will be disadvantages presented to the average retail trader along
with the standard risk of trading that applies if the game were fair.
Although this is the case, the underlying fundamentals of market
mechanics remain the same to this day and the same edges, anomalies,
and patterns of 100 years ago work today. One significant change
that has occurred, however, is the underlying internal market
structure. Darvas spoke of abnormal weekly volume when shares traded
exceeded 50 thousand, but the market has become much larger and the
vast majority of the stocks in my universe trade more than this on a
daily basis. Another fundamental shift is that during Darvas' time
the majority of trades were transparent and there was not an
informational edge when it came to price/volume relationships, unlike
today where the order flow is algo driven or often hidden resulting
in a lack of complete information and therefor a disconnect between
price/volume.
When I started my studies of volume a
year ago I was well aware of the perspective that “Only price
pays.” and that volume was not particularly relevant or useful any
more due to distortions and off market exchanges taking place. Hell,
I even had a hard to reconciling the value of volume and its
importance to myself. But, what is often left unreflected is that
while price may pay what is the price being paid in the first place
and is it an honest price, for not only does a significant amount of
volume go unregistered, the prices being paid does as well. And even
though I was aware of the statistics and effect of HFT and dark pools
I continued to move forward with my line of thinking because volume
has to matter after all because along with the open, high, low,
close, it is the only other piece of information available.
As a result of these studies and
realization of the effect of HFT and DP I've made the decision to
move up to higher time frames, particularly the monthly when it comes
to my volume studies. I started doing this 6 months ago and now have
a model book of the best performing stocks during this time based
upon this metric and have been able to improve my criteria for
vehicle selection based upon the greater clarity this time frame
gives when it comes to quantifying the absorption of supply. Once
strong hands accumulate the float the expectation is that the clutch
can be thrown into neutral and price will continue its acceleration
as the shares that remain come at a premium.
March Momentum/MHV Watch List: 19% of list increased 50%+ |
Another change I've made to my trading
over the past year is to my entry and time stop. Unless there is a
compelling reason to enter a trade off the open I will wait until
the last hour before making my decisions. There is a trade off as
mentioned previously in which I will forgo some of the algo driven
potential, however I also get to see if my signal completely forms
and price is not faded and sold off hard into the bell. A second
modification I made is extending my holding period from 3-5 days to
10 days to account for the lack of immediate follow through I've
witnessed on my trades. This has allowed time for price continuation
on its terms and has reduced the amount of churning trades by exiting
trades that were not above entry price after 3 days.
It takes time for positions to be built by large players and I've found that by moving up to a higher time frame and following momentum stocks with large monthly volume I'm better able to track rapid price increase with underlying supply absorption. A periodic review of this list to prune those with waning momentum or decreasing price is sufficient to keep my watch list actionable with the greater confidence that I am on the correct side of the order flow for my time frame. The debate of which is more valuable or important or came first I'll leave to others as long as I have a hen that lays eggs I can eat.
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