Wednesday, July 22, 2009
Thursday, April 23, 2009
Conclusion OF TAPE ON NET VOLUME
4. Conclusion
This paper has presented a technique for predicting quarterly institutional ownership using
the “tape”, the publicly available record of all trades and quotes within the quarter. The
technique can be used to track high-frequency institutional trading in a large cross-section of
stocks. In future research we plan to use this approach to measure patterns of institutional
behavior around earnings announcements, stock splits, and other corporate actions.
The results of this paper shed light on the trading behavior of institutions. Total
classifiable buy volume predicts increasing institutional ownership and total sell volume predicts decreasing institutional ownership. That is, institutions tend to buy at the ask and sell at the bid, or buy on upticks and sell on downticks, suggesting that they demand liquidity rather than provide it. The coefficient on total sell volume is larger in absolute value than the coefficient on total buy volume, suggesting that institutions are particularly likely to demand liquidity when they sell. All these patterns are more pronounced in large stocks than in small stocks.
Classifying transactions by their size adds considerable explanatory power to our regressions. Buy volume in sizes between $2,000 and $30,000 is associated with decreasing
institutional ownership, while buy volume in larger sizes predicts increasing institutional ownership. Interestingly, extremely small buys below $2,000 also predict increasing institutional ownership, suggesting that institutions use these trades to conceal their activity or to round small positions up or down. All these patterns are reversed for sell volume, and are remarkably consistent across firm sizes.
This paper has presented a technique for predicting quarterly institutional ownership using
the “tape”, the publicly available record of all trades and quotes within the quarter. The
technique can be used to track high-frequency institutional trading in a large cross-section of
stocks. In future research we plan to use this approach to measure patterns of institutional
behavior around earnings announcements, stock splits, and other corporate actions.
The results of this paper shed light on the trading behavior of institutions. Total
classifiable buy volume predicts increasing institutional ownership and total sell volume predicts decreasing institutional ownership. That is, institutions tend to buy at the ask and sell at the bid, or buy on upticks and sell on downticks, suggesting that they demand liquidity rather than provide it. The coefficient on total sell volume is larger in absolute value than the coefficient on total buy volume, suggesting that institutions are particularly likely to demand liquidity when they sell. All these patterns are more pronounced in large stocks than in small stocks.
Classifying transactions by their size adds considerable explanatory power to our regressions. Buy volume in sizes between $2,000 and $30,000 is associated with decreasing
institutional ownership, while buy volume in larger sizes predicts increasing institutional ownership. Interestingly, extremely small buys below $2,000 also predict increasing institutional ownership, suggesting that institutions use these trades to conceal their activity or to round small positions up or down. All these patterns are reversed for sell volume, and are remarkably consistent across firm sizes.
Wednesday, April 22, 2009
Observations
small orders leads to large price changes while
large orders leads to relatively small price changes
not the size of the volume, it is the rate of change of net volume (buy-sell volume) showing very important clue to price direction, force and ....
in market depth, price turns to move towards the side with relatively larger limit orders -- why is that??? small orders push , why?
large orders leads to relatively small price changes
not the size of the volume, it is the rate of change of net volume (buy-sell volume) showing very important clue to price direction, force and ....
in market depth, price turns to move towards the side with relatively larger limit orders -- why is that??? small orders push , why?
Sunday, April 19, 2009
finishi this book and move on to next
some books on emotion control, anger management, thrill management
Thursday, April 16, 2009
Monday, April 13, 2009
how many round trades should be approprite
10:00 == 10:30 == 12:00 == 14:00 == 15:00 = 16:00
ideally only 10 TRADES per day
ideally only 10 TRADES per day

trading problem:
-need to reverse position quickly ...as soon as notice the reversal
-always be patient to join in counter trend correction (crowd) or will be runed over by the mass.
-nible nible is good.
not too bad in general, need to improve observation skills, adjust expections

-market open at -extremes at, range extension, value area at, initiating or responsive
-conclusion
Thursday, April 9, 2009
volume and price
-market open at -extremes at, range extension, value area at, initiating or responsive
-conclusion
-conclusion
Wednesday, April 8, 2009
where price goes after the volume of transactions peaks AND drys

Up move cycle
stage 1: follow-through ( price up , volume up - smart money join in but soon will be some retracement or consolidation depends on the selling presure)
stage 2: resting or consolidating ( price down slighly and volume down )
stage 3: public join the late move and wholesale are selling
stage 4: reversal ( price up quickly, volume still less -- speculators hesitate then decide to join - volume up quickly )
Down move cycle
stage 1: follow-through ( price down and volume up )
stage 2: resting or consolidating ( price up and volume down)
stage 3: public join the late move and wholesale are buying
stage 4: reversal ( the volume drys first , no more sellers!!! then price and volume increase again)
Tuesday, April 7, 2009
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