📄 Extracted Text (955 words)
Strategy Malachite
Dm itriy Nuriyev
EFTA01121805
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%
EFTA01121806
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.
EFTA01121807
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
EFTA01121808
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.
EFTA01121809
Return data
Cumulative Returns over 3.5 years: Daily Return on Trading Capital Sharpe 6.6
Cumulative Return
400 600 800
DarS
Daily Unleveraged Return Histogram: mean 18bps / day
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Daily Return
EFTA01121810
Monthly returns
180.00%
160.00%
140.00%
120.00%
100.00%
—0—Series1
80.00%
60.00%
40.00%
20.00%
0.00%
1 2 3 4 S 6 7 8 9 10 1112 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
EFTA01121811
Monthly Returns
Cumulative
Month Return Cumulative Return Month Return 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%
EFTA01121812
Trade statistics
Signal Duration Histogram: moan 4 hours
--1-1-1-t-n- -`-t-i--r.
i I t
0 10 15
HOW'S
Holding Period Histogram: moan 12 hours
0
0 5 10 15 20 2b
Hours
EFTA01121813
Return Streaks and Draw Downs
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Return Am000nvation
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EFTA01121814
Daily Trading Activity
Daily Trading Activity Histogram
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0 1000 2000 3000 4000
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Daily Number of Trades. mean 625 trades
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EFTA01121815
Relative versus Absolute Returns
Absolute Return: Sharpe 3.8
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Relative Return: Sharpe 6.1
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EFTA01121816
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.
EFTA01121817
ℹ️ Document Details
SHA-256
28ba04979da04a91ec52e58b85e9433a5591fcf840775c0a3db57fa5b5fae198
Bates Number
EFTA01121805
Dataset
DataSet-9
Document Type
document
Pages
13
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