Morning Gap Day Trading Strategy
Past performance is not indicative of future performance. Trading futures & options is not for everyone and involves substantial risk of loss.
Morning Gap 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 4 minutes after the market has opened and gets out when it’s target or stop is hit.
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. It gets in on morning gap ups (short) and gets out once the limit order is hit.
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 2016 in both the ES/TY Futures v2 Portfolio and the S&P Crusher v2 & v3 Portfolio.
- Combined Performance – All Algorithms
- Back-Testing Information
- Algorithms Traded
- Account Requirements & Pricing
| Yearly Analysis (per $10,000 traded) | |
| Average % gain per year | 15% |
| Average $ gain per year | +$1,576 |
| Monthly Analysis (per $10,000 traded) | |
| Average % gain per month | +1.31% |
| Average $ gain per month | +$131 |
| Trade Analysis (per $10,000 traded) | |
| Total Num Trades | 170 |
| Per Trade Win Rate | 56.47% |
| Packages Which Use the Morning Gap Algorithm | |
| S&P Crusher v3 | Yes |
| The Swing Trader | No |
| Period Analyzed | |
| Historical period analyzed | 1 May 2003 – 10 Jan 2019 |
| Traded Live Since | October 2016 |
| 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) | -27.78%** |
| Period Seen | 7/5/08-4/29/09 |
| GS1 Gap Short (ES) | |
| Instrument traded | Emini S&P 500 (ES) |
| Outperforms during | Sideways & down markets |
| Ability to hold overnight | No – Day trade only |
| Algorithm type | Gap Fade (short) |
| 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.
Morning Gap Day Trading Strategy Trade List: Trading $10,000 (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 GS1-Gap Short (morning gap) ES.
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