Trade the Day Trading Strategy with as little as $10,000 starting account.
Past performance is not indicative of future performance. Trading futures & options is not for everyone and involves substantial risk of loss.
Day Trading Portfolio Features:
Trades 3 Algorithms Concurrently
Combines the Breakout Day Trade, Breakdown Day Trade (SHORT) & Morning Gap Day Trade strategies in an attempt to take advantage of short term fluctuations seen while the equity markets are open.
100% Automated Futures Trading System
The Day Trading Strategy is a fully automated futures trading system, with zero time commitment required. Receive real-time trade alerts on your phone, and daily statements. Day Trades the S&P Emini Futures.
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.
Live Trade History
Each trading algorithm within this package has traded live – for various durations. The Breakout & Breakdown SHORT algorithms have traded live since October 2015. The newer Morning Gap Day Trading Strategy since October 2016.
- Combined Performance – All Algorithms
- Back-Testing Information
- Algorithms Traded
- Account Requirements & Pricing
Yearly Analysis (per $10,000 traded) | |
Average % gain per year | 38.54% |
Average $ gain per year | +$3,845 |
Monthly Analysis (per $10,000 traded) | |
Average % gain per month | +3.39% |
Average $ gain per month | +$339 |
Monthly win rate | 60.54% |
Trade Analysis (per $10,000 traded) | |
Total Num Trades | 806 |
Trades With > 5% Loss | 0 |
Trade Win Rate | 52.61% |
Period Analyzed | |
Historical period analyzed | May 1, 2003 – Oct 31, 2016 |
Slippage & Commission Used in Analysis | |
Commission used in all reports (Futures Trade) | $6.50 per round trip trade (all-in) |
Slippage used in all reports (ES) | $12.50 per round trip trade |
Draw-Down (per $20,000 traded) | |
Worst percent draw-down (closing trade to closing trade) | -44.79%** |
Period Seen | 3/11/16-10/24/16 |
Breakout Day Trade Strategy | |
Instrument traded | Emini S&P 500 (ES) |
Outperforms during | Up Moving Markets |
Ability to hold overnight | No – Day trade only |
Algorithm type | Breakout (Long) |
Short Breakdown Day Trading Strategy | |
Instrument traded | Emini S&P 500 (ES) |
Outperforms during | Down Moving Markets |
Ability to hold overnight | No – Day trade only |
Algorithm type | Breakdown (Short) |
Morning Gap Day Trade Strategy | |
Instrument traded | Emini S&P 500 (ES) |
Outperforms during | Down & Sideways Moving Markets |
Ability to hold overnight | No – Day trade only |
Algorithm type | Gap Fade (SHORT) |
Account Details | |
Minimum account size | $10,000 |
Allocation | One contract traded on each algorithm (1/1/1 = 3 total) per $10,000 |
Number of algorithms traded | 3 |
Instrument traded | ES/TY |
Trades Futures | Yes (long & short) |
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.
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, 3 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.