Breakdown Short Day Trading Strategy

The S3-Breakdown Short Day Trading Strategy places day trades on the Emini-S&P Futures. This short day trading strategy is traded in the S&P Crusher v3. This trading strategy can be traded stand-alone, however it is best traded as part of a larger portfolio of trading strategies as seen in the crusher. Visit our Algorithmic Trading Design Methodology page for more information on how we implement our trading algorithms.
Algorithmic Trading Review: 4/24/17 - 4/29/17

Past performance is not indicative of future performance. Trading futures & options is not for everyone and involves substantial risk of loss.

Breakdown Short Day Trading Strategy Features:

Places Day Trades Only

This strategy is in and out of it’s trades on the same day.  It gets into the market approximately 20 minutes after the market has opened and gets out at the close. This strategy takes advantage of temporary market weakness by going Short the market.

100% Automated Futures Trading System

This fully automated day trading strategy is a lower risk strategy. It will not hold over-night/over-weekend, meaning there is much lower risk for after hours market moving events to impact it’s position. All trades have tight stops during the day.

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Rigorously Back-Tested 15 Years

We back-test each of our algorithms over 15 years. View the back-testing detail on our system and each algorithm.

Traded Live

This algorithm has traded live since October 2015 in various portfolios offered by algorithmictrading.net

Product Dashboard – Breakdown Short Day Trading Strategy

The following data is taken from compiled back-tested Tradestation reports. 

Yearly Analysis (per $10,000 traded) 
Average % gain per year 10.9%
Average $ gain per year +$1,090
Monthly Analysis (per $10,000 traded)  
Average % gain per month +.91%
Average $ gain per month +$91
Trade Analysis (per $10,000 traded)  
Total Num Trades 216
Trade Win Rate 49.54%
Systems Which Use the Breakdown SHORT Algorithm   
S&P Crusher v3 Yes
The Swing Trader No
Period Analyzed
Historical period analyzed 1 May 2003 – 1 Jan 2019
Traded Live Since December 2018
Slippage & Commission Used in Analysis
Commission used in all reports $6.50 per round trip trade (all-in)
Slippage used in all reports (ES) $12.50 per round trip trade
Draw-Down (per $10,000 traded)
Worst percent draw-down (closing trade to closing trade) -68%**
Period Seen 12/11/15-1/1/19
**Estimated draw-down based on back-testing data (see disclaimer, below). Note that heavier losses than indicated are possible.
Short Day Trade (ES)
Instrument traded Emini S&P 500 (ES)
Outperforms during Down markets
Ability to hold overnight No – Day trade only
Algorithm type Momentum Short Day Trade
Account Details
Minimum account size $10,000
Allocation 1 Contract per $10,000 in account
Number of algorithms traded 1
Instrument traded ES
Trades Futures Yes
Trades Options No
Account types allowed Cash, IRA, Roth IRA
Pricing
Licenses available Yes
Licensing fee Call or Contact Us for a quote

CFTC RULE 4.41: 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. 

Breakdown Short Day Trading Strategy Trade List: Trading $15,000 (1 Unit)

Data assumes $10,000 starting account, trading 1 Unit (1 contract per algo/per trade, six algos total). Includes slippage & commission. Results are taken from compiled back-tested/hypothetical accounts which have limitations (see CFTC RULE 4.41 below).

CFTC RULE 4.41: 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.

Back-Tested Reports from Tradestation

Want to see more detail on how each algorithm performs? Download back-tested data for the Short Break-Down Trading Algorithm.

 

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