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Featured Strategy MT3 Algotrading Trades-Own-Strategy Certified Trades-Own-Strategy Certification Hypothetical

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Lazy Trading ES
(149505060)

Created by: LazyTrade LazyTrade
Started: 09/2024
Futures
Last trade: Yesterday
Trading style: Futures Trend-following Short Term

Subscriptions not available

No subscriptions are currently available for this strategy because the strategy manager has capped the maximum number of subscribers.

Subscription terms. Subscriptions to this system cost $500.00 per month.

C2Star

C2Star is a certification program for trading strategies. In order to become "C2Star Certified," a strategy must apply tight risk controls, and must exhibit excellent performance characteristics, including low drawdowns.

You can read more about C2Star certification requirements here.

Note that: all trading strategies are risky, and C2Star Certification does not imply that a strategy is low risk.

Trading Category: Futures
Trend-following
Category: Equity

Trend-following

Buys when price goes up, and sells when price goes down, expecting price movements to continue. There are a number of different techniques and time-frames used, including moving averages and channel breakouts. Traders do not aim to forecast specific price levels; they simply jump on a trend and ride it. Typically, trend-following analysis is backward looking; that is, it attempts to recognize and profit from already-established trends.
Short Term
Category: Equity

Short Term

Makes short-term trades or bases analysis on short-term market movements.
44.1%
Cumul. Return

Rate of Return Calculations

Overview

To comply with NFA regulations, we display Cumulative Rate of Return for strategies with a track record of less than one year. For strategies with longer track records, we display Annualized (Compounded) Rate of Return.

How Cumulative Rate of Return is calculated

= (Ending_equity - Starting_equity) / Starting_equity

Remember that, following NFA requirements, strategy subscription costs and estimated commissions are included in marked-to-market equity calculations.

All results are hypothetical.

(15.1%)
Max Drawdown
17
Num Trades
82.4%
Win Trades
5.7 : 1
Profit Factor
100.0%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2024                                                        +5.8%+12.1%+21.5%      +44.1%

Model Account Details

A trading strategy on Collective2. Follow it in your broker account, or use a free simulated trading account.

Advanced users may want to use this information to adjust their AutoTrade scaling, or merely to understand the magnitudes of the nearby chart.

System developer has asked us to delay this information by 24 hours.

Trading Record

Download CSV
Long
Short
Both
Win
Loss
Both
Show More details Show Fewer details
Opened Date/TimeSymbolDescriptionSideQuantAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
11/19/24 12:02 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 5921.73 11/20 10:33 5904.29 2.52%
Trade id #150124364
Max drawdown($869)
Time11/20/24 3:21
Quant open7
Worst price5957.50
Drawdown as % of equity-2.52%
 $1,035
Includes Typical Broker Commissions trade costs of $11.28
11/18/24 11:38 @MESZ4 MICRO E-MINI S&P 500 SHORT 9 5925.19 11/19 11:56 5908.56 1.2%
Trade id #150112873
Max drawdown($407)
Time11/18/24 23:30
Quant open9
Worst price5934.25
Drawdown as % of equity-1.20%
 $741
Includes Typical Broker Commissions trade costs of $8.46
11/8/24 5:44 @MESZ4 MICRO E-MINI S&P 500 LONG 8 5995.25 11/8 13:59 6033.69 0.61%
Trade id #150037146
Max drawdown($200)
Time11/8/24 6:07
Quant open8
Worst price5990.25
Drawdown as % of equity-0.61%
 $1,530
Includes Typical Broker Commissions trade costs of $7.52
11/7/24 2:34 @MESZ4 MICRO E-MINI S&P 500 LONG 6 5960.00 11/7 12:31 5998.75 n/a $1,157
Includes Typical Broker Commissions trade costs of $5.64
11/1/24 9:40 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 5771.23 11/4 19:57 5739.38 2.39%
Trade id #149929427
Max drawdown($708)
Time11/1/24 10:30
Quant open5
Worst price5803.75
Drawdown as % of equity-2.39%
 $1,900
Includes Typical Broker Commissions trade costs of $11.28
10/23/24 10:03 @MESZ4 MICRO E-MINI S&P 500 SHORT 10 5865.70 10/23 12:32 5836.00 1.44%
Trade id #149804633
Max drawdown($415)
Time10/23/24 10:47
Quant open10
Worst price5874.00
Drawdown as % of equity-1.44%
 $1,476
Includes Typical Broker Commissions trade costs of $9.40
10/23/24 4:58 @MESZ4 MICRO E-MINI S&P 500 LONG 8 5883.44 10/23 10:03 5868.50 2.53%
Trade id #149802410
Max drawdown($727)
Time10/23/24 10:01
Quant open8
Worst price5865.25
Drawdown as % of equity-2.53%
 ($606)
Includes Typical Broker Commissions trade costs of $7.52
10/22/24 22:11 @MESZ4 MICRO E-MINI S&P 500 SHORT 3 5888.08 10/23 4:58 5883.25 0.3%
Trade id #149801199
Max drawdown($88)
Time10/23/24 3:20
Quant open3
Worst price5894.00
Drawdown as % of equity-0.30%
 $70
Includes Typical Broker Commissions trade costs of $2.82
10/22/24 15:53 @MESZ4 MICRO E-MINI S&P 500 SHORT 1 5900.00 10/22 15:53 5899.50 n/a $2
Includes Typical Broker Commissions trade costs of $0.94
10/17/24 20:36 @MESZ4 MICRO E-MINI S&P 500 LONG 10 5880.90 10/22 14:04 5900.25 3.58%
Trade id #149690786
Max drawdown($995)
Time10/22/24 9:09
Quant open10
Worst price5861.00
Drawdown as % of equity-3.58%
 $959
Includes Typical Broker Commissions trade costs of $9.40
10/16/24 3:22 @MESZ4 MICRO E-MINI S&P 500 LONG 9 5869.94 10/17 14:03 5904.83 0.63%
Trade id #149670522
Max drawdown($168)
Time10/16/24 9:51
Quant open5
Worst price5851.75
Drawdown as % of equity-0.63%
 $1,562
Includes Typical Broker Commissions trade costs of $8.46
10/10/24 12:12 @MESZ4 MICRO E-MINI S&P 500 LONG 7 5832.21 10/15 10:29 5876.75 2.83%
Trade id #149630145
Max drawdown($702)
Time10/10/24 14:43
Quant open6
Worst price5811.75
Drawdown as % of equity-2.83%
 $1,552
Includes Typical Broker Commissions trade costs of $6.58
10/8/24 10:46 @MESZ4 MICRO E-MINI S&P 500 SHORT 9 5793.50 10/9 11:48 5811.42 2.65%
Trade id #149605870
Max drawdown($680)
Time10/9/24 10:10
Quant open8
Worst price5810.50
Drawdown as % of equity-2.65%
 ($814)
Includes Typical Broker Commissions trade costs of $8.46
10/4/24 14:49 @MESZ4 MICRO E-MINI S&P 500 SHORT 17 5780.57 10/8 9:57 5765.88 2.76%
Trade id #149583222
Max drawdown($673)
Time10/7/24 0:00
Quant open8
Worst price5808.25
Drawdown as % of equity-2.76%
 $1,233
Includes Typical Broker Commissions trade costs of $15.98
10/4/24 9:35 @MESZ4 MICRO E-MINI S&P 500 SHORT 6 5791.00 10/4 10:39 5753.00 0.48%
Trade id #149577653
Max drawdown($112)
Time10/4/24 9:42
Quant open6
Worst price5794.75
Drawdown as % of equity-0.48%
 $1,134
Includes Typical Broker Commissions trade costs of $5.64
10/2/24 20:24 @MESZ4 MICRO E-MINI S&P 500 SHORT 6 5760.33 10/4 9:01 5801.00 5.33%
Trade id #149565250
Max drawdown($1,265)
Time10/4/24 9:00
Quant open6
Worst price5802.50
Drawdown as % of equity-5.33%
 ($1,226)
Includes Typical Broker Commissions trade costs of $5.64
9/25/24 13:57 @MESZ4 MICRO E-MINI S&P 500 LONG 22 5779.91 10/2 20:23 5783.53 10.27%
Trade id #149506361
Max drawdown($2,493)
Time10/2/24 9:45
Quant open9
Worst price5724.50
Drawdown as % of equity-10.27%
 $378
Includes Typical Broker Commissions trade costs of $20.68
Next

Statistics

  • Strategy began
    9/25/2024
  • Suggested Minimum Cap
    $35,000
  • Strategy Age (days)
    57.08
  • Age
    57 days ago
  • What it trades
    Futures
  • # Trades
    17
  • # Profitable
    14
  • % Profitable
    82.40%
  • Avg trade duration
    1.9 days
  • Max peak-to-valley drawdown
    15.14%
  • drawdown period
    Sept 26, 2024 - Oct 04, 2024
  • Cumul. Return
    44.1%
  • Avg win
    $1,060
  • Avg loss
    $874.67
  • Model Account Values (Raw)
  • Cash
    $37,226
  • Margin Used
    $0
  • Buying Power
    $37,226
  • Ratios
  • W:L ratio
    5.66:1
  • Sharpe Ratio
    4.99
  • Sortino Ratio
    11.21
  • Calmar Ratio
    117.144
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    40.10%
  • Correlation to SP500
    0.08500
  • Return Percent SP500 (cumu) during strategy life
    3.96%
  • Return Statistics
  • Ann Return (w trading costs)
    799.4%
  • Slump
  • Current Slump as Pcnt Equity
    n/a
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.441%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Futures
    1.00%
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    n/a
  • Instruments
  • Percent Trades Stocks
    n/a
  • Return Statistics
  • Return Pcnt Since TOS Status
    n/a
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    1120.2%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    17.50%
  • Chance of 20% account loss
    1.00%
  • Chance of 30% account loss
    n/a
  • Chance of 40% account loss
    n/a
  • Chance of 60% account loss (Monte Carlo)
    n/a
  • Chance of 70% account loss (Monte Carlo)
    n/a
  • Chance of 80% account loss (Monte Carlo)
    n/a
  • Chance of 90% account loss (Monte Carlo)
    n/a
  • Automation
  • Percentage Signals Automated
    68.32%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    n/a
  • Popularity
  • Popularity (Today)
    945
  • Popularity (Last 6 weeks)
    935
  • Popularity (7 days, Percentile 1000 scale)
    962
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    943
  • Trades-Own-System Certification
  • Trades Own System?
    -
  • TOS percent
    n/a
  • Win / Loss
  • Avg Win
    $1,061
  • Avg Loss
    $875
  • Sum Trade PL (losers)
    $2,624.000
  • # Winners
    14
  • Num Months Winners
    3
  • Age
  • Num Months filled monthly returns table
    3
  • Win / Loss
  • Sum Trade PL (winners)
    $14,853.000
  • Dividends
  • Dividends Received in Model Acct
    0
  • Win / Loss
  • # Losers
    3
  • % Winners
    82.3%
  • Frequency
  • Avg Position Time (mins)
    2673.13
  • Avg Position Time (hrs)
    44.55
  • Avg Trade Length
    1.9 days
  • Last Trade Ago
    1
  • Leverage
  • Daily leverage (average)
    8.97
  • Daily leverage (max)
    17.22
  • Regression
  • Alpha
    0.66
  • Beta
    0.30
  • Treynor Index
    2.31
  • Maximum Adverse Excursion (MAE)
  • MAE:Equity, average, all trades
    0.03
  • MAE:Equity, losing trades only, 95th Percentile Value for this strat
    -
  • MAE:Equity, win trades only, 95th Percentile Value for this strat
    -
  • MAE:PL (avg, winning trades)
    -
  • MAE:PL - worst single value for strategy
    -
  • MAE:PL (avg, losing trades)
    -
  • MAE:PL (avg, all trades)
    0.58
  • Avg(MAE) / Avg(PL) - All trades
    0.950
  • MAE:Equity, 95th Percentile Value for this strat
    0.03
  • MAE:Equity, average, winning trades
    0.02
  • MAE:Equity, average, losing trades
    0.04
  • Avg(MAE) / Avg(PL) - Winning trades
    0.572
  • Avg(MAE) / Avg(PL) - Losing trades
    -1.018
  • Hold-and-Hope Ratio
    1.053
  • Analysis based on DAILY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to linear regression on benchmark
  • a (intercept, estimate of alpha)
    2.51200
  • Analysis based on DAILY values, last 6 months only
  • Ratio statistics of excess log return rates
  • VAR (95 Confidence Intrvl)
    0.02900
  • DRAW DOWN STATISTICS
  • Risk estimates based on draw downs (based on Extreme Value T
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -336916000
  • Max Equity Drawdown (num days)
    8
  • Last 4 Months - Pcnt Negative
    n/a

Strategy Description

"Lazy Trading" is a strategic approach to trading that focuses on reducing human error and emotional decision-making. This method emphasizes relying on systematic algorithmic trading (algo-trading) to automatically generate buy and sell signals based on predefined rules and indicators. By depending on algorithms, traders limit the potential for mistakes driven by emotions like fear or greed, and instead, benefit from a more consistent and disciplined trading process.

The strategy is designed to capture larger market trends by entering and exiting trades after significant price movements, rather than reacting to short-term news or market noise. Lazy Trading avoids the need for constant monitoring, allowing algorithms to manage positions efficiently while reducing stress for the trader. This ensures that the system executes trades in a timely and accurate manner, improving performance over the long term by following objective data rather than human impulses.

Summary Statistics

Strategy began
2024-09-25
Suggested Minimum Capital
$35,000
Rank at C2 %
Top 5.7%
Rank # 
#187
# Trades
17
# Profitable
14
% Profitable
82.4%
Correlation S&P500
0.085
Sharpe Ratio
4.99
Sortino Ratio
11.21
Beta
0.30
Alpha
0.66
Leverage
8.97 Average
17.22 Maximum
Summary
Higher leverage = greater risk.

More information about leverage

Collective2 calculates the maximum leverage used by a strategy in each day. We then display the average of these measurements (i.e. the average daily maximum leverage) and the greatest of these measurements (maximum daily leverage).

Leverage is the ratio of total notional value controlled by a strategy divided by its Model Account equity. Generally higher leverage implies greater risk.

Example of calculation:
The Strategy buys 100 shares of stock at $12 per share.
The Model Account equity during that day is $5,000.
The leverage is: $1200 / $5,000 = 0.24

This is a useful measurement, but it should be considered in context. This measurement doesn't take into account important factors, such as when multiple positions are held that are inversely correlated. Nor does the measurement take into account the volatility of the instruments being held.

In addition, certain asset classes are inherently more leveraged than others. For example, futures contracts are highly leveraged. Forex positions are often even more leveraged than futures.

Latest Activity

#PERSONNAME#
subscribed on started simulation #SUBSCRIBEDDATE#

Most values on this page (including the Strategy Equity Chart, above) have been adjusted by estimated trading commissions and subscription costs.

Some advanced users find it useful to see "raw" Model Account values. These numbers do not include any commissions, fees, subscription costs, or dividend actions.

Strategy developers can "archive" strategies at any time. This means the strategy Model Account is reset to its initial level and the trade list cleared. However, all archived track records are permanently preserved for evaluation by potential subscribers.

About the results you see on this Web site

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.

In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program, which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

Material assumptions and methods used when calculating results

The following are material assumptions used when calculating any hypothetical monthly results that appear on our web site.

  • Profits are reinvested. We assume profits (when there are profits) are reinvested in the trading strategy.
  • Starting investment size. For any trading strategy on our site, hypothetical results are based on the assumption that you invested the starting amount shown on the strategy's performance chart. In some cases, nominal dollar amounts on the equity chart have been re-scaled downward to make current go-forward trading sizes more manageable. In these cases, it may not have been possible to trade the strategy historically at the equity levels shown on the chart, and a higher minimum capital was required in the past.
  • All fees are included. When calculating cumulative returns, we try to estimate and include all the fees a typical trader incurs when AutoTrading using AutoTrade technology. This includes the subscription cost of the strategy, plus any per-trade AutoTrade fees, plus estimated broker commissions if any.
  • "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our computer software looks at the equity chart of the system in question and finds the largest percentage amount that the equity chart ever declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley Drawdown.") While this is useful information when evaluating trading systems, you should keep in mind that past performance does not guarantee future results. Therefore, future drawdowns may be larger than the historical maximum drawdowns you see here.

Trading is risky

There is a substantial risk of loss in futures and forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don't trade with money you cannot afford to lose.

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Suggested Minimum Capital

This is our estimate of the minimum amount of capital to follow a strategy, assuming you use the smallest reasonable AutoTrade Scaling % for the strategy.