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HEDGED SP500 FUTURES

Futures · Started Apr 2024

hypothetical · Annual Return (Compounded)
-100.0%
Max Drawdown
57.6%
Trades
6
Win Trades
0.0%
Profit Factor
0
Win Months
0.0%

About this strategy

Good stock selection with an emphasis on value stocks combined with industry leading risk management algo. the algo very similar to what rentec and citadel both use.

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
2024-64.50.00.00.00.00.00.00.00.0-64.5
20250.00.00.00.00.00.00.00.00.00.00.00.00.0
20260.00.00.00.00.00.00.00.00.00.00.0

Statistics

Overview

Strategy began4/21/2024
Suggested Minimum Capital$71,000
Age30 months
What it tradesFutures
# Trades6
# Profitable0
% Profitable0.0%
Avg trade duration14.6 hours
Max peak-to-valley drawdown57.6%
drawdown periodApril 21, 2024 - April 25, 2024
Cumul. Return-64.5%
Avg win$0
Avg loss$5,677

Ratios

W:L ratio0
Sharpe Ratio-1.22
Sortino Ratio-1.21
Calmar Ratio-2.23

CORRELATION STATISTICS

Correlation to SP500-0.04
Return Percent SP500 (cumu) during strategy life53.5%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-66.6%

Return Statistics

Ann Return (w trading costs)-100.0%
Return Pcnt (Compound or Annual, age-based, NFA compliant)-0.6%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)-22.9%

Slump

Current Slump as Pcnt Equity135.7%
Current Slump, time of slump as pcnt of strategy life1.0%

Instruments

Percent Trades Forex0.0%
Percent Trades Futures0.8%
Percent Trades Options0.2%
Short Options - Percent Covered100.0%
Percent Trades Stocks0.0%

Risk of Ruin (Monte-Carlo)

Chance of 10% account loss100.0%
Chance of 20% account loss100.0%
Chance of 30% account loss100.0%
Chance of 40% account loss100.0%
Chance of 50% account loss0.5%
Chance of 60% account loss (Monte Carlo)0.0%
Chance of 70% account loss (Monte Carlo)0.0%
Chance of 80% account loss (Monte Carlo)0.0%
Chance of 90% account loss (Monte Carlo)0.0%

Automation

Percentage Signals Automated16.7%

Popularity

Popularity (Today)0
Popularity (Last 6 weeks)509
Popularity (7 days, Percentile 1000 scale)556

Trading Style

Any stock shorts? 0/10

Trades-Own-System Certification

Trades Own System?0
TOS percent0.0%

Win / Loss

Avg Loss$5,677
Avg Win$0
# Winners0
Sum Trade PL (losers)$34,062
Sum Trade PL (winners)$0
Num Months Winners0
# Losers6
% Winners0.0%

Dividends

Dividends Received in Model Acct0

Age

Num Months filled monthly returns table31

Frequency

Avg Position Time (mins)876.70
Avg Position Time (hrs)14.61
Avg Trade Length0.60
Last Trade Ago907

Leverage

Daily leverage (average)20.44
Daily leverage (max)34.50

Regression

Alpha-0.09
Beta-0.08
Treynor Index1.15

Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.16
MAE:Equity, 95th Percentile Value for this strat0.08
MAE:Equity, average, losing trades0.16
MAE:Equity, losing trades only, 95th Percentile Value for this strat—
MAE:Equity, average, winning trades—
MAE:Equity, win trades only, 95th Percentile Value for this strat—
Avg(MAE) / Avg(PL) - All trades-1.08
MAE:PL (avg, all trades)-1.62
MAE:PL (avg, losing trades)—
MAE:PL (avg, winning trades)—
MAE:PL - worst single value for strategy—
Avg(MAE) / Avg(PL) - Winning trades—
Avg(MAE) / Avg(PL) - Losing trades-1.08
Hold-and-Hope Ratio-0.93

RATIO STATISTICS

a (intercept, estimate of alpha)-2.12
VAR (95 Confidence Intrvl)0.06

DRAW DOWN STATISTICS

Strat Max DD how much worse than SP500 max DD during strat life?-319523712
Max Equity Drawdown (num days)4
Last 4 Months - Pcnt Negative0.0%

Trading record

SymbolSideQtyOpenedClosedP/L
@ES M4long1Apr 24, 2024Apr 25, 2024($3,708)
@NQ M4long1Apr 24, 2024Apr 25, 2024($6,178)
@NQ M4short1Apr 23, 2024Apr 24, 2024($1,563)
@NQ M4long1Apr 23, 2024Apr 23, 2024($263)
@NQ M4short2Apr 22, 2024Apr 23, 2024($12,856)
SPY2417Q495 long85.2Apr 22, 2024Apr 22, 2024($9,661)

Past results are not necessarily indicative of future results.

These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.