Strategy Malachite

EFTA00611824 Dataset 9 13 pages Download original PDF Download as text
Strategy Malachite Dmitriy Nuriyev EFTA00611824 Performance Trades 300 of some of the most liquid Tape A and B securities Daily Return Sharpe 6 Average unleveraged daily return 13bps. 38% annualized unleveraged, or 250% with standard 15% portfolio margin. For example: with 20M of base capital it makes 50M/year. • US Equity market capacity 500M Average holding period is 12 hours Average signal duration is 4.5 hours giving ample entry time. Average daily traded volume per single security in traded universe on NASDAQ alone — 175MM. Max draw down 3% EFTA00611825 Alpha source Model captures mean reversion and trend dynamics in market cross-sectional data. Relative Strength of individual assets with respect to relevant indices is strongly represented. Model works on both high frequency and medium frequency time-scales Multi-horizon non-linear factor models, advanced statistical techniques as well as indicator selection and transformation create an edge. • Trades in all aggressive regime. • Alpha signal does not experience significant adverse selection and trading is done in narrow spread regimes. EFTA00611826 Risk Aspects • Broad diversification with maximum single name exposure under 5% • Highly liquid securities with average ADV of 175MM • Portfolio Sharpe maximizing allocation • Average beta exposure is 20% • Single name and portfolio level stop losses • Broad diversification across industries and sectors EFTA00611827 Graphs Return Data slide on next page shows Equity Curve and a histogram (empirical distribution) of 5 Day returns giving tail shape, skewness and etc. Trade Statistics slide shows histogram consolidating signal and holding period statistics, showing persistence and duration of entry signal providing high entry capacity. Return Streaks and Draw downs shows draw down histogram without any stop losses applied. Second important graph shows return autocorrelation function. Since there are no significant negative autocorrelations, there is no evidence of "streaks". Daily Trading Activity shows number of trades across all traded securities. This includes multiple same direction trades per security. Relative versus Absolute Return slide shows present difference in Sharpe with respect to return on traded capital versus absolute dollar based Sharpe. The difference is due to daily exposure variation. EFTA00611828 Return data Cumulative Returns over 3.6 years: Daily Return on Trading Capital Sharpe 6.6 Cunblatrve Return 0 200 400 600 800 — o _ LLDayS Daily Unleveraged Return Histogram: mean flips I day I I I I I I -0.020 -0.015 -0.010 -0 005 0 000 0 005 0.010 0.015 Daily Return EFTA00611829 Monthly returns 180.00% 160.00% 140.00% 120.00% 100.00% 80.00% 60.00% 40.00% 20.00% 0.00% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 —41—Series1 EFTA00611830 Monthly Returns Month Return Cumulative Return Month Return Cumulative Return 1 10.70% 10.70% 20 3.72% 95.60% 2 7.23% 17.90% 21 6.42% 102.02% 3 5.80% 23.70% 22 1.00% 103.02% 4 4.83% 28.53% 23 -3.17% 99.85% 5 3.52% 32.05% 24 5.62% 105.47% 6 1.39% 33.43% 25 7.94% 113.41% 7 2.24% 35.68% 26 2.00% 115.41% 8 5.59% 41.26% 27 -1.12% 114.29% 9 5.60% 46.86% 28 5.15% 119.44% 10 4.63% 51.49% 29 6.15% 125.59% 11 6.52% 58.00% 30 5.54% 131.12% 12 5.24% 63.24% 31 5.64% 136.77% 13 4.60% 67.84% 32 1.77% 138.54% 14 4.06% 71.90% 33 7.02% 145.56% 15 4.92% 76.83% 34 4.74% 150.29% 16 2.30% 79.13% 35 2.77% 153.06% 17 6.71% 85.84% 36 3.12% 156.19% 18 3.54% 89.38% 37 0.79% 156.98% 19 2.50% 91.88% EFTA00611831 Trade statistics Signal Duration Histogram: moan 4 hours 10 20 Holding Period Histogram: mean 12 hours 8 0 5 10 15 20 Hours EFTA00611832 Return Streaks and Draw Downs -0015 -0010 -0006 MUM, .10001.1.00 1 ++ L .1 EFTA00611833 Daily Trading Activity Daily Tracitrig Activity Histogram 0 0 0co • - 0 1000 2000 3000 4000 5000 Days Daily Number of Trades, mean 625 trades 0 • 0 0 8 2 o _ 0 0 O 0 o 0 e 6 0 00 0 00 0 0 0 9 9 99 0 0 CO :0 a 0 09 90 0 0 0 'IC° 8 e cob e * o 0 0 el ace e d' cp * 9 0 90 90 8 0 6 0% 0 CD° ° ace % lb O CM! ° 0 ° c8boo° iii, 68# * 0 clo °won& 8 ,eo, °Lit• 1 01; co° 000 ce 8 co. c, 0 09434 4ccairo .41442"row e 0.. ge iiso. 0 0 200 400 034 600 800 EFTA00611834 Relative versus Absolute Returns Absolute Return: Sharpe 3.8 Absolute Return - • - 8 - • - cie @s 6° cco 40.00 coo 0%0 room ro°0 004 000 00ca 0ise 00.000 0 0, _,, 0000..". no. 0.000 0 00.-00 es.' 0.0.00- of, 0 00,00 000 00 000 ,0300°°°0 eat O 20 80 100 O— O O Relative Return: Sharpe 6.1 120 G0e**eveci0 00000 0o eaptriovoo° 0 0.0 .0.00 occrod,,,,,000.0° 0 eee0.00.0.00. 00" 000,0000 0000° O00e 00.2. 00 20 40 60 oars 80 100 12a EFTA00611835 BACKGROUND HIGHLIGHTS • Spent 2 years at Tower Research. Developed and ran high frequency Spot FX Strategy, Created Alpha Models for FX, Futures and Equities • Models across products generated in the vicinity of 100K/day, average return of approximately 10bps with combined Sharpe of 8+. Overall unleveraged capital approximately 100MM. • Before Tower Research spent 4 years at Bank of New York/BNY Converges focusing on advanced algorithmic execution of international and domestic equities handling multibillion dollar daily volumes. • As part of BNY Convergex, patented Optimal Portfolio Implementation Shortfall algorithm based on state-of-the-art market impact analysis and in-house fundamental risk factor model as well as stochastic dynamic optimization methods. This resulted in major US Equity algo flow increase. • Academic background includes PhD research in multivariate complex function theory achieving major result concerning surjectivity of convolution operators. EFTA00611836

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[Image 1] The image displays a slide from a presentation with the title "Graphs." The slide contains text that outlines the use of graphs to show data, including the concept of a "trade curve" and the importance of "return on equity." It mentions the use of "trade statistics" and "historical data" to illustrate trends and patterns. The slide also emphasizes the importance of "negative correlation" and "abso [Image 2] The image appears to be a slide from a presentation, possibly related to finance or trading, given the context of the text. The slide contains a list of bullet points, each beginning with a green checkmark. The text is in English and discusses topics such as the strength of individual assets, the use of statistical techniques, and the limitations of alpha signals. The slide is informational and se [Image 3] The image appears to be a slide from a presentation, possibly related to trading or financial performance. The slide contains a list of bullet points with text that is too small to read clearly. The text is organized in a structured manner, suggesting it is a summary of key performance metrics or statistics. The slide is informational and seems to be part of a larger presentation, possibly educati [Image 4] The image appears to be a screenshot of a spreadsheet or a table with financial data. The table is organized with columns labeled "Month," "Return," "Total," and "Percentage." There are numerical values listed under each column, indicating financial returns or percentages for different months. The text "Monthly Returns" is visible at the top of the table. The style of the image suggests it is a di [Image 5] The image appears to be a slide from a presentation, possibly related to trading activity. The slide contains two graphs. The top graph is a line graph with a title that reads "Daily trading activity" and a subtitle "Number of trades per day." The graph shows a fluctuating line that suggests daily trading activity over time, with a peak on the right side of the graph. The bottom graph is a scatter [Image 6] The image displays a graph with two lines, one in black and the other in blue. The black line represents a cumulative return on investment over time, while the blue line represents a cumulative return on investment over time, but with a different starting point. The graph shows a steady increase in the cumulative return over time, with the blue line showing a higher cumulative return than the blac