Filed pursuant to Rule 433 Registration Statement No. 333-137902 Dated March 6, 2009 Deutsche Bank Commodity Harvest Indices March 2009 The instruments described in this presentation are hybrid instruments under the Commodity Exchange Act("CEA"). As such, the instruments are not contracts of sale of a commodity for future delivery (or options on such contracts) and are not subject to the CEA.

Risks Commodities are speculative and highly volatile. The risk of loss in trading commodities can be substantial. Commodity prices may be subject to substantial and unpredictable fluctuations over short periods of time and may be affected by, among other things, a wide variety of regulatory, monetary and/or economic developments and policies. Prospective investors must independently assess the appropriateness of an investment in commodities in light of their own financial situation and investment objectives. The price of an instrument and the commodities which comprise the index may be affected by numerous market factors, including events in the market for commodities, the equity markets, the bond market and the foreign exchange market, fluctuations in interest rates, and world economic, political and regulatory events. A rise in the value of one commodity may be offset by a fall in the value of one or more of the other commodities comprising the index. Commodity prices can be highly volatile and may impact negatively the value of an instrument. Volatility around the time of maturity could have a significant impact on the overall performance of an investment. The value of any instrument linked to the index described herein will depend on, among other things, fluctuations in interest rates, the value of the commodities underlying the index, the time remaining to the maturity date, and associated options markets and hedging costs of the issuer. The value of any instrument may start to decline significantly if the value of the index at a given time is below the level of the index on the issue date of the instrument. Price movements may also be caused by changes in the credit spread of the issuer. The receipt by the investor of monies owed under instruments linked to the index described herein is subject to and dependent on the issuers abilities to pay such monies. Consequently, investors are subject to a counterparty risk and are susceptible to risks relating to the creditworthiness of the issuer.

Risks Investing in instruments linked to the index involves certain risks. Inherent in the index is the risk that the forward curves for the underlying futures contracts will unexpectedly move from a contangoed curve and remain as either a less contangoed curve or a backwardated curve after long positions have been taken in such futures contracts. This switch would result in negative carry at a time when the optimum yield methodology has presumed that the underlying futures contract would result in positive carry. Further, because the index is composed of long and short positions, there is a risk that these positions could cancel each other out if the long "booster" position were identical to the short position in the GSCI Light Energy Index. This would occur if the optimum yield methodology selects the same futures contract for an underlying commodity as the fixed roll methodology used by the GSCI Light Energy Index which would result in flat returns for the index for that respective component. The DB Commodity Harvest 3.5 TV Index attempts to achieve a realized volatility of 3.5%. Adjustments are made to the participation in the DB Commodity Harvest Index based on realized volatility of the DB Commodity Harvest Index. The realized volatility of the DB Commodity Harvest Index may differ --- perhaps significantly - --- from its historical realized volatility. It is also possible that the DB Commodity Harvest 3.5 TV Index will achieve realized volatility that differs --- possibly significantly --- from the target volatility of 3.5%.

Contents DB Commodity Harvest Index o Executive Summary o Sources of Return in Commodities / Commodity Index o Concept and Construction o Performance and Descriptive Statistics DB Commodity Harvest 3.5 TV "Target Volatility" Index o Executive Summary o Risk Control by Targeting Volatility o Exhibit I - Weights and Contracts

DB Commodity Harvest Index

Executive Summary Why invest in the DB Commodity Harvest Index? The DB Commodity Harvest Index tracks a long/short rule-based strategy that uses the concept of "carry" to generate returns without directional exposure to the commodity markets. Rule Based Index - ---------------- o The DB Commodity Harvest Index provides access to commodity "carry" through the application of a futures "optimum roll" strategy relative to a "fixed roll" strategy in the same underlying commodities o Monthly rebalancing of the two strategies keeps the Indexs market exposure neutral and non-directional. Weights of each commodity are reset annually to match the S&P GSCITM Light Energy Index ("the benchmark index") o Investing via an index frees the investor from the mechanics of rolling the 24 underlying futures contracts o Carry trades may offer an attractive investment in both absolute return and portfolio diversification Past performance is not indicative of future results

Sources of Return in Commodities Commodity indices invest in futures contracts and are subject to the impact of "roll return." Spot Return: Return resulting from the change in the value of a commodity futures contract Roll Return: Return from the change in value of a commodity futures contract resulting from its movement over time along its forward curve - also known as "roll yield" or "carry" Backwardation:* The roll return (carry) is Positive o Negative slope or inverted "backward" forward curve o Supply disruption price elasticity o Risk premium at near-term delivery - "convenience yield" theory Contango:* The roll return (carry) is Negative o Positive slope or "normal" upward forward curve o Typically reflects markets that are not as price elastic to supply shocks o Market participants pay a "cost of carry" for deferred payment and delivery o Time value of money, storage costs and delivery are all priced into the deferred premium *Definitions: Backwardation: market condition where the futures price is lower in the distant delivery months than in the near delivery months Contango: market condition where the future price for distant delivery is higher than near delivery months, often due to the costs of storing and insuring the underlying commodity; opposite of backwardation

Sources of Return in Commodities Backwardation Example: WTI Crude FOR ILLUSTRATIVE PURPOSES ONLY WTI Crude normally has high demand with only a finite supply available for immediate delivery. This may create a market where near dated contracts trade at a premium to contracts for future delivery. Source: Deutsche Bank Commodities Group This hypothetical graph is designed to illustrate the concept of "backwardation," particularly the maximization of positive roll yield based on the assumption of a constant spot price. The hypothetical premium amounts cannot completely account for financial risk attendant to actual trading, and losses can occur as a result of the spot movement. As such, the graph does not represent actual results, which may vary substantially from those shown in the above-referenced analysis, nor does the graph provide an indication or guarantee of future results.

Sources of Return in Commodities Contango Example: Gold FOR ILLUSTRATIVE PURPOSES ONLY Gold normally has insurance and storage costs associated with future delivery. This may create a market where future dated contracts trade at a premium to contracts for immediate delivery. Source: Deutsche Bank Commodities Group This hypothetical graph is designed to illustrate the concept of "contango," particularly the maximization of negative roll yield based on the assumption of a constant spot price. The hypothetical premium amounts cannot completely account for financial risk attendant to actual trading, and losses can occur as a result of the spot movement. As such, the graph does not represent actual results, which may vary substantially from those shown in the above-referenced analysis, nor does the graph provide an indication or guarantee of future results.

Sources of Return in a Commodity Index Roll Return or "Carry" is a major determinant in the performance of commodity index returns To illustrate the importance of roll returns in commodity index returns, Index excess returns, spot returns, and roll returns are listed below for each of the components of the DBLCI Index since 1-Jan-1999. Excess Return = Spot Return + Roll Return Roll Returns in the Performance of DBLCI Sub-Indices (average annual returns) 1-Jan-1999 to 27-Feb-2009 Source: Bloomberg Past performance is not indicative of future performance

Sources of Return in a Commodity Index Contract selection and roll return can have a significant impact in the overall return of the index Deutsche Banks proprietary optimum yield ("OY") technology rolls into the contract that maximizes positive roll yield (in a backwardated market) or minimizes negative roll yield (in a contango market) from the list of tradable futures which expire in the next 13 months Longer dated contracts typically have less negative carry when the curve slopes upward (contango) Shorter dated contracts typically offer greater positive carry when the curve slopes downward (backwardation)

Concept and Construction of the Commodity Harvest Index Applying the DB "OY" optimum yield technology to an existing index to boost returns By selecting contracts according to "OY" optimum roll yield rules, DB seeks to boost the returns of the S&P GSCITM Light Energy Index to create a "Booster Index" o The DB Commodity Harvest Index - Excess Return ("The Index") is constructed through a long position in the booster strategy and a short position in the actual S&P GSCITM Light Energy o This long/short strategy is rebalanced monthly according to the differences of the performance of long and short legs to maintain spot neutrality and only has exposure to the difference in roll returns o A collateral yield of 3-Month U.S. Treasury Bills is added to the Excess Return to create the DB Commodity Harvest Index - Total Return Source: Bloomberg, January 1998 to February 28, 2009 Booster Index performance is retrospectively calculated prior to 30 December 2007. Such retrospective performance calculations do not represent actual trading, do not involve financial risk, and may present sharp differences to actual results. In the future, the Indexs performance may be significantly different than the results shown. Past performance is not indicative of future results

Concept and Construction of the Commodity Harvest Index Performance of the DB Commodity Harvest Index TR The DB Commodity Harvest Index rebalances mechanically in order to extract alpha and reduce spot market risk. o The Index is rebalanced every month to reduce spot price exposure created by performance differences between long and short legs. o Additional reweighting occurs annually to match the annual reweighting of the S&P GSCITM Light Energy o The Index is diversified among 24 underlying commodities (see Exhibit I for weightings) Source: Bloomberg, Jan 1998 to February 28, 2009 Booster Index performance is retrospectively calculated prior to 30 December 2007. Such retrospective performance calculations do not represent actual trading, do not involve financial risk, and may present sharp differences to actual results. In the future, the Index's performance may be significantly different than the results shown. Past performance is not indicative of future results

Performance and Descriptive Statistics Historical Returns DB Commodity DBLCI- Harvest MRTM** *Equities ***Commodities Total Return 9.28% 5.69% -0.83% 1.35% Excess Return 5.73% 2.14% - 4.39% - 2.21% Volatility 3.49% 18.90% 21.13% 24.04% Sharpe Ratio 1.64 0.11 - 0.21 - 0.09 Source: Bloomberg, 01 Jan 1998 - 27 Feb 2009 Past performance is not indicative of future results The DBLCI-MR and DB Commodity Harvest have existed since February 2003 and December 2007, respectively. The results from their respective inception dates through February 2009 represent actual performance (gross of fees). Results prior to inception dates are based on historical simulations, run from January 1998 for the DBLCI-MR and the DB Commodity Harvest through their respective inception dates, which do not Correlation with other asset classes Correlation DB Commodity Harvest Equities * - 1.3% DBLCI-MR TM** - 45.5% Commodities *** - 60.5% Source*: S&P 500 Index Source**: DBLCI-MR TM Excess Return Source***: S&P GSCITM Index Source: DB Global Markets, Bloomberg, 01 Jan 1998 - 27 Feb 2009

DB Commodity Harvest 3.5 TV Index

Executive Summary Why invest in the DB Commodity Harvest 3.5 TV Index? The DB Commodity Harvest Index seeks to generate alpha through a long/short index strategy. However, there are no controls for volatility. The DB Commodity Harvest 3.5 TV Index is an allocation strategy based on the DB Commodity Harvest Index that aims at maintaining a target volatility of 3.5% Rules-Based Index - ----------------- o The DB Commodity Harvest 3.5 TV Index dynamically controls the exposure to the DB Commodity Harvest Excess Return Index ("the Underlying Index") in order to target realized volatility of close to 3.5% o Rebalancing occurs monthly, at which time the participation of the DB Commodity Harvest 3.5 TV Index in the Underlying Index is reset to the ratio of Target Volatility / Realized Volatility o Participation in the Underlying Index increases when the realized volatility of the Underlying Index has gone down and vice-versa o Volatility targeting can reduce the cost of options when there is a large divergence between realized (historical) and implied (expected) volatility, as reflected by the option price Past performance is not indicative of future results

Index Construction (Harvest 3.5 TV Index) Applying volatility targeting to potentially control risk Monthly rebalancing Calculated on 3rd Step I Step II Step III last business day Monitor Realized Calculate Index Participation Harvest 3.5 TV Index of the month, Volatility (Based Participation = Target Return = Participation x effective on the last on Last 90 Volatility / Realized Volatility, Underlying Index return business day Days Returns) subject to a maximum participation of 300% 90 Day Realized Underlying Vol Target Volatility Index Return Return Month (Annualized %) Participation (%) (%) (%) 12 3.50 100.00 +5.00 +5.00 Numerical 13 10.50 33.33 -1.00 - 0.33 Example: 14 2.50 140.00 +3.00 +4.20 Volatility Target 15 2.00 175.00 -2.00 -3.50 = 3.5% 16 1.50 233.33 +5.00 +11.66 17 3.00 116.67 +1.00 +1.16 18 3.50 100.00 +10.00 +10.00

Volatility Targeting: Rationale Volatility targeting allows investors to buy options at a reduced cost O The DB Commodity Harvest Index has experienced volatility as high as 7.32% and as low as 1.27% since January 2001. Setting the Target Volatility of the Underlying Index to 3.5% enables investors to access similar performance while seeking to smooth the volatility O Since January 2004, the realized volatility of the DB Commodity Harvest Index has been close to 3.5% and thus, on average, participation in the Underlying Index has been close to 100% O Options on the Harvest 3.5 TV Index are less costly than similar options on the DB Commodity Harvest Index, while still achieving a similar risk/return profile Historical Volatility of the Underlying Index Historical Participation in the Underlying Index

The DB Commodity Harvest 3.5 TV Index The DB Commodity Harvest 3.5 TV Index performance is retrospectively calculated prior to 15 October 2008. DB Commodity Harvest Index performance is retrospectively calculated prior to 30 December 2007. Such retrospective performance calculations do not represent actual trading, do not involve financial risk, and may present sharp differences to actual results. In the future, the performance of the indices may be significantly different than the results shown.

Performance and Descriptive Statistics Historical Returns DB Commodity DBLCI- Harvest MRTM** *Equities ***Commodities Total Return 9.80% 5.69% -0.83% 1.35% Excess Return 6.23% 2.14% - 4.39% - 2.21% Volatility 3.82% 18.90% 21.13% 24.04% Sharpe Ratio 1.63 0.11 - 0.21 - 0.09 Source: Bloomberg, 01 Jan 1998 - 27 Feb 2009 Past performance is not indicative of future results The DBLCI-MR and DB Commodity Harvest 3.5 TV have existed since February 2003 and October 2008, respectively. The results from their respective inception dates through February 2009 represent actual performance (gross of fees). Results prior to inception dates are based on historical simulations, run from January 1998 for the DBLCI-MR and the DB Commodity Harvest 3.5 TV through their respective inception dates, which do not reflect the performance of the actual indices. In the future, the performance of the commodity-linked indices may not be the same or similar to the hypothetical performance reflected. Correlation with other asset classes Correlation with other asset classes DB Commodity Correlation Harvest 3.5TV Equities * - 5.4% DBLCI-MR TM** - 49.6% Commodities *** - 61.0% Source*: S&P 500 Index Source**: DBLCI-MR TM Excess Return Source***: S&P GSCITM Index Source: DB Global Markets, Bloomberg, 01 Jan 1998 - 27 Feb 2009

Exhibit I - Index Composition Long position rolls into the contract that maximizes positive roll yield (in a backwardated market) or minimizes negative roll yield (in a contango market) from the list of tradable futures which expire in the next 13 months Short position follows a monthly rolling schedule irrespective of the shape of the forward curve Long/Short strategy is rebalanced monthly according to the differences of the performance of long and short legs to maintain spot neutrality

Market Data Sources Bloomberg Tickers: DB Commodity Harvest - Total Return DBCMHLTU Index DB Commodity Harvest - Excess Return DBCMHLEU Index DB Commodity Harvest 3.5 TV - Total Return DBCMHVTC Index DB Commodity Harvest 3.5 TV - Excess Return DBCMHVEC Index DB Commodity Booster - S&P GSCITM Light Energy Excess Return DBCMBLEU Index S&P GSCITM Light Energy Excess Return SPGSLEP Index S&P 500 SPTR Index DBLCI-MRTM Excess Return DBLCMMCL Index S&P GSCITM Excess Return SPGSCIP Index

Important Notes The analysis set forth herein is based on information we believe to be reliable, including internal models, certain assumptions (all of which are subject to change without notice) and available market data, which may be internally generated. "Deutsche Bank" means Deutsche Bank AG and its affiliated companies, as the context requires. Deutsche Bank Private Wealth Management refers to Deutsche Banks wealth management activities for high net worth clients around the world. Investors should consider an investment linked to the indices described herein only after careful consideration and consultation with their legal, tax, accounting and other advisers as to the suitability of the investments in light of their own particular financial, tax and other circumstances, and the information set out in this document and the other documents we provide to you. Deutsche Bank AG has filed a registration statement (including a prospectus) with the Securities and Exchange Commission, or SEC, for offerings to which these materials relate. Before you invest, you should read the prospectus in that registration statement and the other documents relating to such offering that Deutsche Bank AG has filed with the SEC for more complete information about Deutsche Bank AG and such offering. You may obtain these documents without cost by visiting EDGAR on the SEC Web site at www.sec.gov. Alternatively, Deutsche Bank AG, any agent or any dealer participating in such offering will arrange to send you the prospectus, prospectus supplement and other documents relating to the offering if you so request by calling toll-free 1-800-311-4409. Your return on an investment linked to the indices described herein will be dependent on the performance of the indices during the term of the instrument. The composite is subject to change and there is no assurance that the commodities which comprise an index will have positive performance, and past performance of any of the commodities which comprise an index is not a guarantee, nor necessarily indicative, of their future performance. Deutsche Bank AG, including its subsidiaries and affiliates, does not provide legal, tax or accounting advice. This communication was prepared solely in connection with the promotion or marketing, to the extent permitted by applicable law, of the matter addressed herein, and was not intended or written to be used, and cannot be used or relied upon, by any taxpayer for purposes of avoiding any U.S. federal tax penalties. The recipient of this communication should seek advice from an independent tax advisor regarding any tax matters addressed herein based on its particular circumstances.

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