Deutsche Bank AG: Seven price sets are being approximated for DB lowest supports, DB average equilibriums and DB highest resistances. Each set has a "percentage", which indicates that if DB has been outperforming or downperforming during that day.
DB - Deutsche Bank AG Actual vs. Approximated Equity Prices - 24 Sessions: 2019-05-10 - 2019-06-13
Near-Term Price Targets Computed on Friday, 14 June 2019 ⏱ 16:01 EDT
Close Share Price in Previous Session [$]: $6.8700
Share Price Change [$]: -$0.0800
Share Price Change [%]: -$0.0116%
Source Market Share [%]: $0.0115%
Source Volume [V]: $27,473.0000
Average Total Volume [V]: $4,824,216.0000
Company Market Cap [$]: $14,009,128,000.0000
52-Week High [$]: $13.1700
52-Week Low [$]: $6.6050
YTD Change: -$0.1593%
DB - Deutsche Bank AG: Equilibrium price is important for DB institutional trading/investing, DB retail trading/investing and other types of short/long positions. They provide supplementary perspectives to traders for DB day/swing trading, DB low/high frequency trading, DB put/call option forecasting, DB forward/reverse trading/investing and DB algorithmic trading. Average equilibrium price is necessary for DB Buy/Sell/Hold decision makings and DB rating for analyst coverages and equity due diligence. They are also beneficial for DB trading volume forecasting, DB daily volatility approximating, DB resistance and support evaluating, DB stop loss calculations, among other quantitative advantages. Static charts cannot provide such information to trading and investing entities.
Equilibrium: DB equilibrium is an average theoretical price, where both buy and sell flows of DB are equal. It is good to be taken into account in near-term trading/investing decision makings.
Sessions: DB data from 24 days has been summarized here, each with eight price sets for DB. The first set has the actual DB market prices. The other seven sets are our estimated equilibrium prices for DB. On the left, dynamic lowest supports of DB have been displayed and on the right, you can see the dynamic highest resistances of DB.
Volatility: "Low" to "extreme" volatilities have been forced to our algorithms for computing DB supports and resistances from set 1 to set 7, respectively.
Percentage: The underneath "percentage" is an indicator of the difference in between the actual DB and our estimated equilibrium prices for DB.
Supports: DB dynamic supports have been approximated as a function of time.
Resistances: DB dynamic resistances have been also approximated as a function of time.
Narrow Supports Range: If 7 dynamic supports of DB are very close, it might indicate: (a) there may not have been much trading/investing actions on DB; OR (b) DB may have solid block traders/investors; OR (c) DB might have had a low-risk and low-return session; AND (d) other similar analyses can be extracted from.
Distant Supports Range: If 7 dynamic supports of DB are very scattered, it might indicate: (a) there might have been much sophisticated trading actions on DB; OR (b) DB might have had adept traders in that session; OR (c) DB may have had a high-risk and high-return session; AND (d) other similar analyses can be obtained.
Narrow Resistances Range: If 7 dynamic resistances of DB are very close, it may suggest outcomes such as: (a) DB holds strong resistances that are challenging for breakouts and may require strong catalysts; OR (b) DB may have had adept reverse traders in that session; OR (c) DB may not have had sufficient upside actions in that session; OR (d) DB might have had a low-risk and low-return or negative session.
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