Results show backtested performance for the latest Alpha Equivalence Bot Portfolio + Position Sizing Bot.
Alpha Equivalence Bot autonomously adjusts position size relative to market price and volatility. The position sizing bot will keep the expected value per trade across the different markets equal. The position sizing bot will decrease volatile performance and reduce the depth of drawdowns. The position sizing bot can also utilise the Emini and Micro markets simultaneously so for smaller accounts the bot will automatically choose the correct market to trade to ensure position size across markets is balanced.
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown.
All past performance shown is backtested data only.
YEAR-TO-DATE
+ 57.2%
2020 Return +119.5%
Monthly Performance %
| Pos Bot | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year | Avg Monthly |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021 | 0.4% | -14.0% | 12.7% | 19.1% | 16.4% | 1.5% | 4.6% | 16.4% | 57.2% | 7.15% | ||||
| 2020 | 6.1% | 23.2% | 28.3% | 6.6% | 11.2% | 6.1% | 25.1% | 0.3% | -7.1% | 17.9% | -3.5% | 5.3% | 119.5% | 9.96% |
| 2019 | 8.3% | 16.5% | 0.4% | 8.5% | 15.5% | 17.7% | 4.5% | 9.1% | 5.4% | 13.9% | 3.6% | 14.3% | 117.5% | 9.80% |
| 2018 | 10.0% | -4.9% | -11.2% | 15.7% | 13.5% | 0.2% | 13.0% | 14.8% | 7.2% | 26.9% | 9.4% | 4.8% | 99.6% | 8.30% |
| 2017 | -6.1% | 4.0% | -3.2% | 9.7% | 6.9% | 0.0% | 9.3% | 7.9% | -0.8% | 3.1% | 9.2% | -4.9% | 35.0% | 2.92% |
Past performance is not necessarily indicative of future results. The risk of loss in trading futures is substantial.
Account & Fees
| Acc | |
|---|---|
| Backtest Period | 2002 - 2021 |
| Initial Minimum Capital | $20,000 |
| Profit Factor | 1.64 |
| Futures Exchanges | CME, CBOT |
| Trading Frequency | 54 Trade Per Month |
| Futures Markets | ES, YM, NQ or MES, MYM, MNQ |
| Decision- Making | Systematic 100% |
| Trading Session | Day Trading Only |
| Results Unit Size | Vary based on Volatility + Mrkt Price |
| Monthy Fees | No Monthly Fees |
| Available To | US and Worldwide |
| Base Currency | US Dollars |
| Method of Operation | Server, Maintenance - No Cost |
| Subscription Frequency | Annually |
Trading
| Acc | |
|---|---|
| Winning % | 55.25% |
| Win Loss Ratio | 1.23 |
| Avg. Monthly Gain | 8.36 % |
| Risk Per Trade | 2 % |
| Avg Monthly Gain $ | $ 7,923 |
| Worst Drawdown | -33.21 % |
| Largest Losing Trade | -$ 4,081 |
| Largest Winning Trade | $ 7,008 |
| Largest Losing Day | -$ 10,453 |
| Largest Winning Day | $ 16,740 |
| Avg Winning Day | $ 1645.2 or 1.64 % |
| Avg Losing Day | -$ 1312.3 or -1.31 % |
| Avg Winning Trade | $ 784.9 or 0.78 % |
| Avg Losing Trade | -$ 639.2 or -0.63 % |
Net % Profit Per System
Drawdown % Per System
Summary
Position Sizing Bot is used to smooth performance during a volatile period or rapid increase in market price. Position Sizing Bot will allow users to trade volatile markets or low range markets whilst risking an appropriate amount per trade. Position Sizing Bot will always have a lower net % profits but will have a much smoother performance and greater risk-adjusted returns. There have only been 4 drawdowns greater than 20% in the testing period. Most users are more concerned with drawdown and risk-adjusted returns, a user would be happy to average 100% return with a max drawdown of -33.21% which compared to using no Position Sizing Bot (excluding outlier years) we have 159% average yearly gain with 57.7% drawdown.
Examples:
Fixed position size – 1 Emini per system for 100k capital. NQ Low volatility market with 1% range and market price 15000 = 150 NQ points = $4,000 per Emini contract. Under volatile market conditions with 2% range and market price 15000 = 300 NQ points = $6,000 per Emini contract. When the market themes shifts from low volatility to high volatility this tends to happen swiftly, a user trading a fixed position size will have a much higher degree of risk during a volatile period and the performance during the volatile period will be heavily weighted and reflect the bulk of long term performance.
With the same example as above with a Position Sizing Bot, the Position size will autonomously adjust to take into account volatility and market price. If a user is starting with $100k initial capital and is comfortable risking 3% per trade then they will trade 1 Emini contract with market trading in a 1% range = $3,000 per Emini contract. If volatility increases and the daily range expectation is now 2% the position sizing will autonomously adjust the position size so the user trades 5 Micro contracts on the next trade which means they will still be in line with the original $3,000 they are comfortable with risking.
Allowing multiple systems to trade simultaneously with smaller bets can reduce overall risk. Risk per day does increase and the dollar values, when normalised to today’s market price, is higher than previous portfolios, however, returns are superior and the average year % gain is two times max historical drawdown.
Position Size Guidance
Historical drawdown on $100k initial account assuming drawdown occurs from 1st trade made. Users will input their Initial Capital and % they are willing to risk per trade (keep in mind we average 2.5 trades per day) and the Position Sizing Bot will autonomously adjust the position size for each individual market. The Positions Sizing Bot will also move from Emini markets to Micro markets autonomously so trades are always placed with User risk parameters.
AE Position Sizing Calculator can be used as a guide – this calculator is updated relative to volatility and market price.
Correlation
NQ, YM and ES share some correlated trades meaning you might have three long positions at one time. Trading multiple systems simultaneously improve performance and odds increase for monthly consistency. An individual has multiple systems packed into the portfolio on a very rare day you can potentially have +8 Long or -8 Short on a single day.
Leverage
In live trading, clients trade 2 to 5 times leverage. Clients choose their own Initial Capital and Risk Per Trade settings. The Position Sizing Bot can be turned on and off at any time. You can add max loss per day stop for each system.
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown.
All past performance shown is backtested data only.
| | Totals | ES | NQ | YM |
|---|---|---|---|---|
| Trades | 13089 | 3939 | 4244 | 4906 |
| Winners | 7232 | 2227 | 2272 | 2733 |
| Losers | 5857 | 1712 | 1972 | 2173 |
| Win Loss Ratio | 1.23 | 1.22 | 1.30 | 1.26 |
| Win Percentage % | 55.3% | 56.5% | 53.52% | 55.71% |
| Avg Trades Month | 58 | 18 | 19 | 20 |
| Avg Trades Year | 701 | 211 | 227 | 241 |
| Commission Paid | $52,614 | $15,834 | $17,060 | $19,722.12 |
| Avg Winning Trade | $785 | $791 | $830 | $743 |
| Avg Losing Trade | $-639 | $-650 | $-638 | $-632 |
Trade Series Statistics
| Winning Series | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Number Winning Series | 2450 | 1599 | 1085 | 714 | 461 | 313 | 191 | 129 | 89 | 62 | 40 |
| Losing Series | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| Number Losing Series | 2450 | 1406 | 832 | 487 | 283 | 164 | 100 | 57 |
Drawdown Analysis
| Max Drawdown % | Max Drawdown Date | Started | Recovered | Days |
|---|---|---|---|---|
| -33.21% | 13/10/2005 | 23/09/2005 | 05/04/2006 | 139 |
| -28.16% | 11/03/2004 | 28/01/2004 | 13/05/2004 | 77 |
| -26.10% | 18/02/2010 | 03/12/2009 | 22/05/2010 | 122 |
| -20.93% | 03/11/2006 | 04/10/2006 | 02/12/2006 | 43 |
| -17.82% | 18/05/2012 | 13/04/2012 | 07/06/2012 | 40 |
| -17.39% | 21/11/2002 | 31/10/2002 | 18/12/2002 | 35 |
| -17.24% | 08/06/2006 | 30/05/2006 | 12/07/2006 | 32 |
| -17.23% | 18/10/2004 | 21/09/2004 | 08/12/2004 | 57 |
| -15.72% | 08/09/2008 | 27/08/2008 | 30/09/2008 | 25 |
| -15.62% | 17/09/2002 | 05/08/2002 | 28/09/2002 | 40 |
Top 10 Trades %
| Top 10 Largest Wins % | Date | Top 10 Largest Losses % | Date |
|---|---|---|---|
| 7.01% | 01/12/2008 | -4.08% | 21/03/2017 |
| 5.94% | 25/02/2013 | -4.07% | 27/07/2017 |
| 5.93% | 10/10/2018 | -4.07% | 07/11/2013 |
| 5.50% | 29/01/2002 | -4.02% | 17/08/2017 |
| 5.34% | 01/12/2008 | -3.64% | 05/07/2006 |
| 5.27% | 13/11/2013 | -3.60% | 12/05/2004 |
| 4.97% | 25/03/2015 | -3.38% | 25/02/2013 |
| 4.77% | 25/02/2013 | -3.18% | 07/04/2003 |
| 4.75% | 25/02/2020 | -2.96% | 13/03/2018 |
| 4.72% | 13/11/2008 | -2.79% | 11/06/2020 |
Top 10 Trades $
| Top 10 Largest Wins $ | Date | Top 10 Largest Losses $ | Date |
|---|---|---|---|
| $7,008.07 | 01/12/2008 | $-4,081.28 | 21/03/2017 |
| $5,944.83 | 25/02/2013 | $-4,072.27 | 27/07/2017 |
| $5,930.37 | 10/10/2018 | $-4,071.66 | 07/11/2013 |
| $5,497.79 | 29/01/2002 | $-4,019.44 | 17/08/2017 |
| $5,336.35 | 01/12/2008 | $-3,636.83 | 05/07/2006 |
| $5,269.41 | 13/11/2013 | $-3,595.10 | 12/05/2004 |
| $4,970.65 | 25/03/2015 | $-3,375.96 | 25/02/2013 |
| $4,772.72 | 25/02/2013 | $-3,176.08 | 07/04/2003 |
| $4,750.98 | 25/02/2020 | $-2,959.02 | 13/03/2018 |
| $4,721.96 | 13/11/2008 | $-2,785.31 | 11/06/2020 |
The AE + Pos Bot has multiple trades per day. Each NQ, YM and ES system consists of many subsystems, we expect many days in which we will get correlated trades. The YM, ES and NQ can and will all go long or short on individual days. Also, you have the potential for multiple longs or shorts on individual markets all at different prices. Results below show the daily top 60 and bottom 60 trades for the entire day (the day will consist of multiple individual subsystem trades).
Top 60 Daily %
| Top 60 Wins Per Day % | Date | Bottom 60 Losses Per Day % | Date |
|---|---|---|---|
| 16.74% | 01/12/2008 | -10.45% | 21/03/2017 |
| 12.23% | 24/10/2018 | -9.67% | 04/05/2018 |
| 12.08% | 04/08/2011 | -8.28% | 10/01/2008 |
| 11.97% | 23/02/2009 | -8.25% | 30/11/2005 |
| 11.58% | 07/07/2009 | -8.24% | 25/09/2020 |
| 11.52% | 21/02/2003 | -8.21% | 13/03/2018 |
| 11.39% | 25/02/2020 | -8.05% | 10/04/2012 |
| 10.96% | 06/05/2010 | -7.87% | 04/10/2006 |
| 10.43% | 25/07/2003 | -7.70% | 13/12/2012 |
| 10.07% | 28/11/2012 | -7.67% | 30/06/2009 |
| 9.77% | 01/07/2003 | -7.56% | 03/12/2009 |
| 9.52% | 13/11/2008 | -7.40% | 24/07/2013 |
| 9.50% | 16/08/2007 | -7.11% | 03/12/2015 |
| 9.38% | 06/06/2012 | -6.93% | 17/08/2017 |
| 9.29% | 31/01/2020 | -6.91% | 19/12/2011 |
| 9.23% | 18/10/2011 | -6.86% | 11/02/2011 |
| 9.22% | 19/03/2004 | -6.77% | 22/05/2013 |
| 9.08% | 30/07/2020 | -6.69% | 10/05/2007 |
| 8.94% | 09/12/2002 | -6.66% | 25/02/2008 |
| 8.84% | 25/02/2013 | -6.64% | 03/01/2005 |
| 8.46% | 10/10/2002 | -6.61% | 10/07/2012 |
| 8.16% | 10/12/2014 | -6.54% | 23/03/2018 |
| 8.13% | 07/05/2019 | -6.43% | 21/05/2002 |
| 8.10% | 29/09/2008 | -6.40% | 18/10/2019 |
| 8.10% | 09/10/2014 | -6.39% | 24/02/2021 |
| 8.08% | 12/07/2007 | -6.37% | 02/01/2008 |
| 8.06% | 02/02/2015 | -6.28% | 24/08/2012 |
| 7.98% | 24/07/2012 | -6.26% | 27/08/2013 |
| 7.97% | 28/04/2015 | -6.21% | 07/11/2013 |
| 7.82% | 03/10/2019 | -6.11% | 30/08/2004 |
| 7.77% | 18/09/2020 | -6.01% | 28/01/2004 |
| 7.76% | 02/12/2019 | -6.00% | 03/02/2009 |
| 7.71% | 23/10/2008 | -6.00% | 02/12/2015 |
| 7.64% | 16/04/2008 | -5.99% | 18/05/2011 |
| 7.64% | 02/01/2003 | -5.96% | 30/01/2009 |
| 7.56% | 03/02/2014 | -5.82% | 20/11/2002 |
| 7.48% | 10/10/2018 | -5.82% | 20/11/2019 |
| 7.42% | 16/05/2007 | -5.76% | 27/03/2019 |
| 7.34% | 01/04/2008 | -5.72% | 31/12/2014 |
| 7.20% | 03/01/2006 | -5.58% | 07/03/2003 |
| 7.11% | 05/08/2003 | -5.55% | 27/07/2017 |
| 7.07% | 10/03/2003 | -5.50% | 23/09/2005 |
| 6.92% | 24/06/2002 | -5.49% | 05/03/2018 |
| 6.88% | 22/10/2020 | -5.44% | 12/05/2008 |
| 6.84% | 20/07/2020 | -5.19% | 13/03/2007 |
| 6.81% | 12/01/2005 | -5.16% | 04/01/2005 |
| 6.80% | 17/09/2008 | -5.13% | 21/10/2002 |
| 6.78% | 10/04/2014 | -5.08% | 30/06/2016 |
| 6.77% | 08/10/2014 | -5.07% | 17/10/2006 |
| 6.73% | 30/10/2009 | -5.06% | 17/05/2017 |
| 6.66% | 07/07/2010 | -5.01% | 23/02/2016 |
| 6.63% | 13/03/2003 | -4.98% | 07/04/2006 |
| 6.61% | 27/02/2019 | -4.95% | 28/07/2015 |
| 6.55% | 19/11/2008 | -4.87% | 25/10/2012 |
| 6.52% | 25/05/2004 | -4.85% | 09/02/2005 |
| 6.50% | 02/04/2018 | -4.84% | 29/07/2010 |
| 6.49% | 21/12/2020 | -4.83% | 27/11/2018 |
| 6.48% | 11/05/2017 | -4.83% | 07/12/2006 |
| 6.47% | 03/08/2007 | -4.82% | 04/10/2005 |
| 6.45% | 29/12/2008 | -4.78% | 03/09/2020 |
Top 60 Daily $
| Top 60 Wins Per Day $ | Date | Bottom 60 Losses Per Day $ | Date |
|---|---|---|---|
| $16,740 | 01/12/2008 | -$10,453 | 21/03/2017 |
| $12,233 | 24/10/2018 | -$9,674 | 04/05/2018 |
| $12,077 | 04/08/2011 | -$8,280 | 10/01/2008 |
| $11,975 | 23/02/2009 | -$8,254 | 30/11/2005 |
| $11,576 | 07/07/2009 | -$8,239 | 25/09/2020 |
| $11,518 | 21/02/2003 | -$8,210 | 13/03/2018 |
| $11,385 | 25/02/2020 | -$8,055 | 10/04/2012 |
| $10,963 | 06/05/2010 | -$7,865 | 04/10/2006 |
| $10,432 | 25/07/2003 | -$7,698 | 13/12/2012 |
| $10,068 | 28/11/2012 | -$7,668 | 30/06/2009 |
| $9,770 | 01/07/2003 | -$7,557 | 03/12/2009 |
| $9,519 | 13/11/2008 | -$7,396 | 24/07/2013 |
| $9,499 | 16/08/2007 | -$7,107 | 03/12/2015 |
| $9,381 | 06/06/2012 | -$6,930 | 17/08/2017 |
| $9,291 | 31/01/2020 | -$6,914 | 19/12/2011 |
| $9,228 | 18/10/2011 | -$6,857 | 11/02/2011 |
| $9,217 | 19/03/2004 | -$6,768 | 22/05/2013 |
| $9,082 | 30/07/2020 | -$6,688 | 10/05/2007 |
| $8,937 | 09/12/2002 | -$6,657 | 25/02/2008 |
| $8,836 | 25/02/2013 | -$6,638 | 03/01/2005 |
| $8,462 | 10/10/2002 | -$6,609 | 10/07/2012 |
| $8,160 | 10/12/2014 | -$6,542 | 23/03/2018 |
| $8,126 | 07/05/2019 | -$6,431 | 21/05/2002 |
| $8,101 | 29/09/2008 | -$6,405 | 18/10/2019 |
| $8,097 | 09/10/2014 | -$6,388 | 24/02/2021 |
| $8,075 | 12/07/2007 | -$6,372 | 02/01/2008 |
| $8,062 | 02/02/2015 | -$6,281 | 24/08/2012 |
| $7,982 | 24/07/2012 | -$6,260 | 27/08/2013 |
| $7,969 | 28/04/2015 | -$6,215 | 07/11/2013 |
| $7,824 | 03/10/2019 | -$6,114 | 30/08/2004 |
| $7,770 | 18/09/2020 | -$6,015 | 28/01/2004 |
| $7,761 | 02/12/2019 | -$6,005 | 03/02/2009 |
| $7,709 | 23/10/2008 | -$5,996 | 02/12/2015 |
| $7,641 | 16/04/2008 | -$5,986 | 18/05/2011 |
| $7,639 | 02/01/2003 | -$5,964 | 30/01/2009 |
| $7,557 | 03/02/2014 | -$5,825 | 20/11/2002 |
| $7,476 | 10/10/2018 | -$5,825 | 20/11/2019 |
| $7,424 | 16/05/2007 | -$5,762 | 27/03/2019 |
| $7,340 | 01/04/2008 | -$5,725 | 31/12/2014 |
| $7,200 | 03/01/2006 | -$5,580 | 07/03/2003 |
| $7,110 | 05/08/2003 | -$5,549 | 27/07/2017 |
| $7,074 | 10/03/2003 | -$5,501 | 23/09/2005 |
| $6,916 | 24/06/2002 | -$5,490 | 05/03/2018 |
| $6,882 | 22/10/2020 | -$5,442 | 12/05/2008 |
| $6,844 | 20/07/2020 | -$5,195 | 13/03/2007 |
| $6,811 | 12/01/2005 | -$5,160 | 04/01/2005 |
| $6,803 | 17/09/2008 | -$5,127 | 21/10/2002 |
| $6,778 | 10/04/2014 | -$5,079 | 30/06/2016 |
| $6,773 | 08/10/2014 | -$5,067 | 17/10/2006 |
| $6,729 | 30/10/2009 | -$5,058 | 17/05/2017 |
| $6,663 | 07/07/2010 | -$5,010 | 23/02/2016 |
| $6,632 | 13/03/2003 | -$4,981 | 07/04/2006 |
| $6,605 | 27/02/2019 | -$4,945 | 28/07/2015 |
| $6,552 | 19/11/2008 | -$4,872 | 25/10/2012 |
| $6,521 | 25/05/2004 | -$4,848 | 09/02/2005 |
| $6,500 | 02/04/2018 | -$4,841 | 29/07/2010 |
| $6,490 | 21/12/2020 | -$4,829 | 27/11/2018 |
| $6,485 | 11/05/2017 | -$4,826 | 07/12/2006 |
| $6,474 | 03/08/2007 | -$4,815 | 04/10/2005 |
| $6,448 | 29/12/2008 | -$4,782 | 03/09/2020 |
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown
Results show backtested performance for the latest Alpha Equivalence Bot Portfolio + Position Sizing Bot.
Autonomously adjust position size relative to market price and volatility. The position sizing bot will keep the expected value per trade across the different markets equal. The position sizing bot will decrease volatile performance and reduce drawdowns. The position sizing bot can also utilise the Emini and Micro markets simultaneously so for smaller accounts the bot will automatically choose the correct market to trade to ensure position size across markets is balanced.
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown.
All past performance shown is backtested data only.
YEAR-TO-DATE
+ 57.2%
2020 Return +119.5%
Monthly Performance %
| Pos Bot | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year | Avg Monthly |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021 | 0.4% | -14.0% | 12.7% | 19.1% | 16.4% | 1.5% | 4.6% | 16.4% | 57.2% | 7.15% | ||||
| 2020 | 6.1% | 23.2% | 28.3% | 6.6% | 11.2% | 6.1% | 25.1% | 0.3% | -7.1% | 17.9% | -3.5% | 5.3% | 119.5% | 9.96% |
| 2019 | 8.3% | 16.5% | 0.4% | 8.5% | 15.5% | 17.7% | 4.5% | 9.1% | 5.4% | 13.9% | 3.6% | 14.3% | 117.5% | 9.80% |
| 2018 | 10.0% | -4.9% | -11.2% | 15.7% | 13.5% | 0.2% | 13.0% | 14.8% | 7.2% | 26.9% | 9.4% | 4.8% | 99.6% | 8.30% |
| 2017 | -6.1% | 4.0% | -3.2% | 9.7% | 6.9% | 0.0% | 9.3% | 7.9% | -0.8% | 3.1% | 9.2% | -4.9% | 35.0% | 2.92% |
Past performance is not necessarily indicative of future results. The risk of loss in trading futures is substantial.
Account & Fees
| Acc | |
|---|---|
| Backtest Period | 2002 - 2021 |
| Initial Minimum Capital | $20,000 |
| Profit Factor | 1.64 |
| Futures Exchanges | CME, CBOT |
| Trading Frequency | 54 Trade Per Month |
| Futures Markets | ES, YM, NQ or MES, MYM, MNQ |
| Decision- Making | Systematic 100% |
| Trading Session | Day Trading Only |
| Results Unit Size | Vary based on Volatility + Mrkt Price |
| Monthy Fees | No Monthly Fees |
| Available To | US and Worldwide |
| Base Currency | US Dollars |
| Method of Operation | Server, Maintenance - No Cost |
| Subscription Frequency | Annually |
Trading
| Acc | |
|---|---|
| Winning % | 55.25% |
| Win Loss Ratio | 1.23 |
| Avg. Monthly Gain | 8.36 % |
| Risk Per Trade | 2 % |
| Avg Monthly Gain $ | $ 7,923 |
| Worst Drawdown | -33.21 % |
| Largest Losing Trade | -$ 4,081 |
| Largest Winning Trade | $ 7,008 |
| Largest Losing Day | -$ 10,453 |
| Largest Winning Day | $ 16,740 |
| Avg Winning Day | $ 1645.2 or 1.64 % |
| Avg Losing Day | -$ 1312.3 or -1.31 % |
| Avg Winning Trade | $ 784.9 or 0.78 % |
| Avg Losing Trade | -$ 639.2 or -0.63 % |
Net % Profit Per System
Drawdown % Per System
Summary
Position Sizing Bot is used to smooth performance during a volatile period or rapid increase in market price. Position Sizing Bot will allow users to trade volatile markets or low range markets whilst risking an appropriate amount per trade. Position Sizing Bot will always have a lower net % profits but will have a much smoother performance and greater risk-adjusted returns. There have only been 4 drawdowns greater than 20% in the testing period. Most users are more concerned with drawdown and risk-adjusted returns, a user would be happy to average 100% return with a max drawdown of -33.21% which compared to using no Position Sizing Bot (excluding outlier years) we have 159% average yearly gain with 57.7% drawdown.
Examples:
Fixed position size – 1 Emini per system for 100k capital. NQ Low volatility market with 1% range and market price 15000 = 150 NQ points = $4,000 per Emini contract. Under volatile market conditions with 2% range and market price 15000 = 300 NQ points = $6,000 per Emini contract. When the market themes shifts from low volatility to high volatility this tends to happen swiftly, a user trading a fixed position size will have a much higher degree of risk during a volatile period and the performance during the volatile period will be heavily weighted and reflect the bulk of long term performance.
With the same example as above with a Position Sizing Bot the Position size will autonomously adjust to take into account volatility and market price. If a user is starting with $100k initial capital and is comfortable risking 3% per trade then they will trade 1 Emini contract with market trading in a 1% range = $3,000 per Emini contract. If volatility increases and the daily range expectation is now 2% the position sizing will autonomously adjust the position size so the user trades 5 Micro contracts on the next trade which means they will still be in line with the original $3,000 they are comfortable with risking.
Allowing multiple systems to trade simultaneously with smaller bets can reduce overall risk. Risk per day does increase and the dollar values, when normalised to today’s market price, is higher than previous portfolios, however, returns are superior and the average year % gain is two times max historical drawdown.
Position Size Guidance
Historical drawdown on $100k initial account assuming drawdown occurs from 1st trade made. Users will input their Initial Capital and % they are willing to risk per trade (keep in mind we average 2.5 trades per day) and the Position Sizing Bot will autonomously adjust the position size for each individual market. The Positions Sizing Bot will also move from Emini markets to Micro markets autonomously so trades are always placed with User risk parameters.
AE Position Sizing Calculator can be used as a guide – this calculator is updated relative to volatility and market price.
Correlation
NQ, YM and ES share some correlated trades meaning you might have three long positions at one time. Trading multiple systems simultaneously improve performance and odds increase for monthly consistency. An individual has multiple systems packed into the portfolio on a very rare day you can potentially have +8 Long or -8 Short on a single day.
Leverage
In live trading, clients trade 2 to 5 times leverage. Clients choose their own Initial Capital and Risk Per Trade settings. The Position Sizing Bot can be turned on and off at any time. You can add max loss per day stop for each system.
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown.
All per performance shown is backtested data only.
| | Totals | ES | NQ | YM |
|---|---|---|---|---|
| Trades | 13089 | 3939 | 4244 | 4906 |
| Winners | 7232 | 2227 | 2272 | 2733 |
| Losers | 5857 | 1712 | 1972 | 2173 |
| Win Loss Ratio | 1.23 | 1.22 | 1.30 | 1.26 |
| Win Percentage % | 55.3% | 56.5% | 53.52% | 55.71% |
| Avg Trades Month | 58 | 18 | 19 | 20 |
| Avg Trades Year | 701 | 211 | 227 | 241 |
| Commission Paid | $52,614 | $15,834 | $17,060 | $19,722.12 |
| Avg Winning Trade | $785 | $791 | $830 | $743 |
| Avg Losing Trade | $-639 | $-650 | $-638 | $-632 |
Trade Series Statistics
| Winning Series | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Number Winning Series | 2450 | 1599 | 1085 | 714 | 461 | 313 | 191 | 129 | 89 | 62 | 40 |
| Losing Series | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| Number Losing Series | 2450 | 1406 | 832 | 487 | 283 | 164 | 100 | 57 |
Drawdown Analysis
| Max Drawdown % | Max Drawdown Date | Started | Recovered | Days |
|---|---|---|---|---|
| -33.21% | 13/10/2005 | 23/09/2005 | 05/04/2006 | 139 |
| -28.16% | 11/03/2004 | 28/01/2004 | 13/05/2004 | 77 |
| -26.10% | 18/02/2010 | 03/12/2009 | 22/05/2010 | 122 |
| -20.93% | 03/11/2006 | 04/10/2006 | 02/12/2006 | 43 |
| -17.82% | 18/05/2012 | 13/04/2012 | 07/06/2012 | 40 |
| -17.39% | 21/11/2002 | 31/10/2002 | 18/12/2002 | 35 |
| -17.24% | 08/06/2006 | 30/05/2006 | 12/07/2006 | 32 |
| -17.23% | 18/10/2004 | 21/09/2004 | 08/12/2004 | 57 |
| -15.72% | 08/09/2008 | 27/08/2008 | 30/09/2008 | 25 |
| -15.62% | 17/09/2002 | 05/08/2002 | 28/09/2002 | 40 |
Top 10 Trades %
| Top 10 Largest Wins % | Date | Top 10 Largest Losses % | Date |
|---|---|---|---|
| 7.01% | 01/12/2008 | -4.08% | 21/03/2017 |
| 5.94% | 25/02/2013 | -4.07% | 27/07/2017 |
| 5.93% | 10/10/2018 | -4.07% | 07/11/2013 |
| 5.50% | 29/01/2002 | -4.02% | 17/08/2017 |
| 5.34% | 01/12/2008 | -3.64% | 05/07/2006 |
| 5.27% | 13/11/2013 | -3.60% | 12/05/2004 |
| 4.97% | 25/03/2015 | -3.38% | 25/02/2013 |
| 4.77% | 25/02/2013 | -3.18% | 07/04/2003 |
| 4.75% | 25/02/2020 | -2.96% | 13/03/2018 |
| 4.72% | 13/11/2008 | -2.79% | 11/06/2020 |
Top 10 Trades $
| Top 10 Largest Wins $ | Date | Top 10 Largest Losses $ | Date |
|---|---|---|---|
| $7,008.07 | 01/12/2008 | $-4,081.28 | 21/03/2017 |
| $5,944.83 | 25/02/2013 | $-4,072.27 | 27/07/2017 |
| $5,930.37 | 10/10/2018 | $-4,071.66 | 07/11/2013 |
| $5,497.79 | 29/01/2002 | $-4,019.44 | 17/08/2017 |
| $5,336.35 | 01/12/2008 | $-3,636.83 | 05/07/2006 |
| $5,269.41 | 13/11/2013 | $-3,595.10 | 12/05/2004 |
| $4,970.65 | 25/03/2015 | $-3,375.96 | 25/02/2013 |
| $4,772.72 | 25/02/2013 | $-3,176.08 | 07/04/2003 |
| $4,750.98 | 25/02/2020 | $-2,959.02 | 13/03/2018 |
| $4,721.96 | 13/11/2008 | $-2,785.31 | 11/06/2020 |
The AE + Pos Bot has multiple trades per day. Each NQ, YM and ES system consists of many subsystems, we expect many days in which we will get correlated trades. The YM, ES and NQ can and will all go long or short on individual days. Also, you have the potential for multiple longs or shorts on individual markets all at different prices. Results below show the daily top 60 and bottom 60 trades for the entire day (the day will consist of multiple individual subsystem trades).
Top 60 Daily %
| Top 60 Wins Per Day % | Date | Bottom 60 Losses Per Day % | Date |
|---|---|---|---|
| 16.74% | 01/12/2008 | -10.45% | 21/03/2017 |
| 12.23% | 24/10/2018 | -9.67% | 04/05/2018 |
| 12.08% | 04/08/2011 | -8.28% | 10/01/2008 |
| 11.97% | 23/02/2009 | -8.25% | 30/11/2005 |
| 11.58% | 07/07/2009 | -8.24% | 25/09/2020 |
| 11.52% | 21/02/2003 | -8.21% | 13/03/2018 |
| 11.39% | 25/02/2020 | -8.05% | 10/04/2012 |
| 10.96% | 06/05/2010 | -7.87% | 04/10/2006 |
| 10.43% | 25/07/2003 | -7.70% | 13/12/2012 |
| 10.07% | 28/11/2012 | -7.67% | 30/06/2009 |
| 9.77% | 01/07/2003 | -7.56% | 03/12/2009 |
| 9.52% | 13/11/2008 | -7.40% | 24/07/2013 |
| 9.50% | 16/08/2007 | -7.11% | 03/12/2015 |
| 9.38% | 06/06/2012 | -6.93% | 17/08/2017 |
| 9.29% | 31/01/2020 | -6.91% | 19/12/2011 |
| 9.23% | 18/10/2011 | -6.86% | 11/02/2011 |
| 9.22% | 19/03/2004 | -6.77% | 22/05/2013 |
| 9.08% | 30/07/2020 | -6.69% | 10/05/2007 |
| 8.94% | 09/12/2002 | -6.66% | 25/02/2008 |
| 8.84% | 25/02/2013 | -6.64% | 03/01/2005 |
| 8.46% | 10/10/2002 | -6.61% | 10/07/2012 |
| 8.16% | 10/12/2014 | -6.54% | 23/03/2018 |
| 8.13% | 07/05/2019 | -6.43% | 21/05/2002 |
| 8.10% | 29/09/2008 | -6.40% | 18/10/2019 |
| 8.10% | 09/10/2014 | -6.39% | 24/02/2021 |
| 8.08% | 12/07/2007 | -6.37% | 02/01/2008 |
| 8.06% | 02/02/2015 | -6.28% | 24/08/2012 |
| 7.98% | 24/07/2012 | -6.26% | 27/08/2013 |
| 7.97% | 28/04/2015 | -6.21% | 07/11/2013 |
| 7.82% | 03/10/2019 | -6.11% | 30/08/2004 |
| 7.77% | 18/09/2020 | -6.01% | 28/01/2004 |
| 7.76% | 02/12/2019 | -6.00% | 03/02/2009 |
| 7.71% | 23/10/2008 | -6.00% | 02/12/2015 |
| 7.64% | 16/04/2008 | -5.99% | 18/05/2011 |
| 7.64% | 02/01/2003 | -5.96% | 30/01/2009 |
| 7.56% | 03/02/2014 | -5.82% | 20/11/2002 |
| 7.48% | 10/10/2018 | -5.82% | 20/11/2019 |
| 7.42% | 16/05/2007 | -5.76% | 27/03/2019 |
| 7.34% | 01/04/2008 | -5.72% | 31/12/2014 |
| 7.20% | 03/01/2006 | -5.58% | 07/03/2003 |
| 7.11% | 05/08/2003 | -5.55% | 27/07/2017 |
| 7.07% | 10/03/2003 | -5.50% | 23/09/2005 |
| 6.92% | 24/06/2002 | -5.49% | 05/03/2018 |
| 6.88% | 22/10/2020 | -5.44% | 12/05/2008 |
| 6.84% | 20/07/2020 | -5.19% | 13/03/2007 |
| 6.81% | 12/01/2005 | -5.16% | 04/01/2005 |
| 6.80% | 17/09/2008 | -5.13% | 21/10/2002 |
| 6.78% | 10/04/2014 | -5.08% | 30/06/2016 |
| 6.77% | 08/10/2014 | -5.07% | 17/10/2006 |
| 6.73% | 30/10/2009 | -5.06% | 17/05/2017 |
| 6.66% | 07/07/2010 | -5.01% | 23/02/2016 |
| 6.63% | 13/03/2003 | -4.98% | 07/04/2006 |
| 6.61% | 27/02/2019 | -4.95% | 28/07/2015 |
| 6.55% | 19/11/2008 | -4.87% | 25/10/2012 |
| 6.52% | 25/05/2004 | -4.85% | 09/02/2005 |
| 6.50% | 02/04/2018 | -4.84% | 29/07/2010 |
| 6.49% | 21/12/2020 | -4.83% | 27/11/2018 |
| 6.48% | 11/05/2017 | -4.83% | 07/12/2006 |
| 6.47% | 03/08/2007 | -4.82% | 04/10/2005 |
| 6.45% | 29/12/2008 | -4.78% | 03/09/2020 |
Top 60 Daily $
| Top 60 Wins Per Day $ | Date | Bottom 60 Losses Per Day $ | Date |
|---|---|---|---|
| $16,740 | 01/12/2008 | -$10,453 | 21/03/2017 |
| $12,233 | 24/10/2018 | -$9,674 | 04/05/2018 |
| $12,077 | 04/08/2011 | -$8,280 | 10/01/2008 |
| $11,975 | 23/02/2009 | -$8,254 | 30/11/2005 |
| $11,576 | 07/07/2009 | -$8,239 | 25/09/2020 |
| $11,518 | 21/02/2003 | -$8,210 | 13/03/2018 |
| $11,385 | 25/02/2020 | -$8,055 | 10/04/2012 |
| $10,963 | 06/05/2010 | -$7,865 | 04/10/2006 |
| $10,432 | 25/07/2003 | -$7,698 | 13/12/2012 |
| $10,068 | 28/11/2012 | -$7,668 | 30/06/2009 |
| $9,770 | 01/07/2003 | -$7,557 | 03/12/2009 |
| $9,519 | 13/11/2008 | -$7,396 | 24/07/2013 |
| $9,499 | 16/08/2007 | -$7,107 | 03/12/2015 |
| $9,381 | 06/06/2012 | -$6,930 | 17/08/2017 |
| $9,291 | 31/01/2020 | -$6,914 | 19/12/2011 |
| $9,228 | 18/10/2011 | -$6,857 | 11/02/2011 |
| $9,217 | 19/03/2004 | -$6,768 | 22/05/2013 |
| $9,082 | 30/07/2020 | -$6,688 | 10/05/2007 |
| $8,937 | 09/12/2002 | -$6,657 | 25/02/2008 |
| $8,836 | 25/02/2013 | -$6,638 | 03/01/2005 |
| $8,462 | 10/10/2002 | -$6,609 | 10/07/2012 |
| $8,160 | 10/12/2014 | -$6,542 | 23/03/2018 |
| $8,126 | 07/05/2019 | -$6,431 | 21/05/2002 |
| $8,101 | 29/09/2008 | -$6,405 | 18/10/2019 |
| $8,097 | 09/10/2014 | -$6,388 | 24/02/2021 |
| $8,075 | 12/07/2007 | -$6,372 | 02/01/2008 |
| $8,062 | 02/02/2015 | -$6,281 | 24/08/2012 |
| $7,982 | 24/07/2012 | -$6,260 | 27/08/2013 |
| $7,969 | 28/04/2015 | -$6,215 | 07/11/2013 |
| $7,824 | 03/10/2019 | -$6,114 | 30/08/2004 |
| $7,770 | 18/09/2020 | -$6,015 | 28/01/2004 |
| $7,761 | 02/12/2019 | -$6,005 | 03/02/2009 |
| $7,709 | 23/10/2008 | -$5,996 | 02/12/2015 |
| $7,641 | 16/04/2008 | -$5,986 | 18/05/2011 |
| $7,639 | 02/01/2003 | -$5,964 | 30/01/2009 |
| $7,557 | 03/02/2014 | -$5,825 | 20/11/2002 |
| $7,476 | 10/10/2018 | -$5,825 | 20/11/2019 |
| $7,424 | 16/05/2007 | -$5,762 | 27/03/2019 |
| $7,340 | 01/04/2008 | -$5,725 | 31/12/2014 |
| $7,200 | 03/01/2006 | -$5,580 | 07/03/2003 |
| $7,110 | 05/08/2003 | -$5,549 | 27/07/2017 |
| $7,074 | 10/03/2003 | -$5,501 | 23/09/2005 |
| $6,916 | 24/06/2002 | -$5,490 | 05/03/2018 |
| $6,882 | 22/10/2020 | -$5,442 | 12/05/2008 |
| $6,844 | 20/07/2020 | -$5,195 | 13/03/2007 |
| $6,811 | 12/01/2005 | -$5,160 | 04/01/2005 |
| $6,803 | 17/09/2008 | -$5,127 | 21/10/2002 |
| $6,778 | 10/04/2014 | -$5,079 | 30/06/2016 |
| $6,773 | 08/10/2014 | -$5,067 | 17/10/2006 |
| $6,729 | 30/10/2009 | -$5,058 | 17/05/2017 |
| $6,663 | 07/07/2010 | -$5,010 | 23/02/2016 |
| $6,632 | 13/03/2003 | -$4,981 | 07/04/2006 |
| $6,605 | 27/02/2019 | -$4,945 | 28/07/2015 |
| $6,552 | 19/11/2008 | -$4,872 | 25/10/2012 |
| $6,521 | 25/05/2004 | -$4,848 | 09/02/2005 |
| $6,500 | 02/04/2018 | -$4,841 | 29/07/2010 |
| $6,490 | 21/12/2020 | -$4,829 | 27/11/2018 |
| $6,485 | 11/05/2017 | -$4,826 | 07/12/2006 |
| $6,474 | 03/08/2007 | -$4,815 | 04/10/2005 |
| $6,448 | 29/12/2008 | -$4,782 | 03/09/2020 |
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown
A decade of innovation and research has helped to develop our sophisticated Algorithmic Futures Trading System to find a fine balance between human needs and machine capabilities. Today thousands of finance professionals around the globe trust the accuracy and speed of algorithmic trading. Let machines work for you giving you an edge on speed and the number of markets you can trade. Try our algorithmic trading systems today.
We aim to provide clarity in the world of uncertainty. Backtested performance shows the algorithmic trading systems work well in all market conditions and offers the potential to deliver smooth Equity curves with moderate drawdowns. Quant Savvy smart investment strategies have been backtested for more than 19 years across different markets. We are very assured in our systems’ performance, contact us now to try it for yourself.
Orders are transmitted in milliseconds. Positive expectancy trade entries with dynamic stops and targets. Risk and Reward are pre-calculated on every trade. Your algo bot identifies market inefficiencies and exploits them. Algo systems can be tested on historical data across different markets to ensure there is a statistical positive edge.
A decade of innovation and research has helped to develop our sophisticated Algorithmic Futures Trading System to find a fine balance between human needs and machine capabilities. Today thousands of finance professionals around the globe trust the accuracy and speed of algorithmic trading. Let machines work for you giving you an edge on speed and the number of markets you can trade. Try our algorithmic trading systems today.
We aim to provide clarity in the world of uncertainty. Backtested performance shows the algorithmic trading systems work well in all market conditions and offers the potential to deliver smooth Equity curves with moderate drawdowns. Quant Savvy smart investment strategies have been backtested for more than 19 years across different markets. We are very assured in our systems’ performance, contact us now to try it for yourself.
Orders are transmitted in milliseconds. Positive expectancy trade entries with dynamic stops and targets. Risk and Reward are pre-calculated on every trade. Your algo bot identifies market inefficiencies and exploits them. Algo systems can be tested on historical data across different markets to ensure there is a statistical positive edge.
**Commodity Future and Trading Commission Futures has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures markets. Do not trade with money you cannot afford to lose. The past performance posted on quantsavvy.com is not necessarily indicative of future results.
**Commodity Future and Trading Commission Futures has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures markets. Do not trade with money you cannot afford to lose. The past performance posted on quantsavvy.com is not necessarily indicative of future results.
Quant Savvy provides trading algorithms based on a computerized system. All advice is impersonal and not tailored to any specific individual’s unique situation. Quant Savvy, and its principles, are not required to register with the NFA as a CTA and are publicly claiming this exemption. Information posted online or distributed through email has NOT been reviewed by any government agencies — this includes but is not limited to back-tested reports, statements and any other marketing materials. Carefully consider this prior to purchasing our algorithms. For more information on the exemption we are claiming, please visit the NFA website: http://www.nfa.futures.org/nfa-registration/cta/index.html. If you are in need of professional advice unique to your situation, please consult with a licensed broker/CTA.
**DISCLAIMER: Commodity Futures Trading Commission Futures trading has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures markets. Don’t trade with money you can’t afford to lose. This is neither a solicitation nor an offer to Buy/Sell futures. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website or on any reports. The past performance of any trading system or methodology is not necessarily indicative of future results. ***All returns posted on this site and in our videos is considered Backtested Trading Performance.
Backtested trading results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested trading results and the actual results subsequently achieved by any particular trading program. One of the limitations of backtested trading results is that they are generally prepared with the benefit of hindsight. In addition, backtested trading does not involve financial risk, and no backtested trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or 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 backtested performance results and all of which can adversely affect actual trading results.
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown.
Statements posted from our actual customers trading the algorithms (algos) include slippage and commission. Statements posted are not fully audited or verified and should be considered as customer testimonials. Individual results do vary. They are real statements from real people trading our algorithms on auto-pilot and as far as we know, do NOT include any discretionary trades. Tradelists posted on this site also include slippage and commission. All advice and/or suggestions given in Quant Savvy website are intended for running automated software in simulation mode only. Trading futures is not for everyone and does carry a high level of risk. All past performance shown is backtested data only.
The COVID-19 outbreak caused supply disruptions, leading to the fastest U.S. stock market plunge in history (and subsequently a new bear market). A record drop was seen, and the Dow Jones dropped more than 10% in a single week. Peak to trough: 02/2020 – ongoing Worst Month: 01/02/2020 Weakest Quarter: 1st Quarter 2020 Minimum Year: 2020
The S&P 500 peaked at 2930 on Sep 20 and dropped 19.73% to 2351 by Xmas Eve. The DJIA falls 18.78% during the same period. Shanghai Composite dropped to a four-year low, escalating their economic downturn since 2015 recession. Peak to trough: 09/2018 – 12/2018, Worst Month: 01/12/2018, Weakest Quarter: 4th Quarter 2018, Worst Year: 2018
The Dow fell 588 points during a two-day period, 1,300 points from Aug 18–21. Aug 24, world markets were down substantially, wiping out all gains made in 2015, with interlinked drops in oil, which hit a six-year price low, copper, and most of Asian currencies. Peak to trough: 05/2015 – 02/2016 Worst Month: 01/01/2016 Weakest Quarter: 3rd Quarter 2015 Minimum Year: 2015
The COVID-19 outbreak caused supply disruptions, leading to the fastest U.S. stock market plunge in history (and subsequently a new bear market). A record drop was seen, and the Dow Jones dropped more than 10% in a single week. Peak to trough: 02/2020 – ongoing Worst Month: 01/02/2020 Weakest Quarter: 1st Quarter 2020 Minimum Year: 2020
The S&P 500 peaked at 2930 on Sep 20 and dropped 19.73% to 2351 by Xmas Eve. The DJIA falls 18.78% during the same period. Shanghai Composite dropped to a four-year low, escalating their economic downturn since 2015 recession. Peak to trough: 09/2018 – 12/2018, Worst Month: 01/12/2018, Weakest Quarter: 4th Quarter 2018, Worst Year: 2018
The Dow fell 588 points during a two-day period, 1,300 points from Aug 18–21. Aug 24, world markets were down substantially, wiping out all gains made in 2015, with interlinked drops in oil, which hit a six-year price low, copper, and most of Asian currencies. Peak to trough: 05/2015 – 02/2016 Worst Month: 01/01/2016 Weakest Quarter: 3rd Quarter 2015 Minimum Year: 2015
CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown
We use www.reviews.co.uk to collect fully audited Quant Savvy testimonials by this reputable 3rd party which has a licensing agreement with Google. They log IP addresses, always use email verification, and track invoice numbers for each user. If they can’t verify that the Quant Savvy reviews is coming from a legitimate Quant Savvy user, the evaluation will not be put up with a verified badge. See our Quant Savvy Review page or our feedback page.
Quant Savvy presents sophisticated algorithmic trading strategies using automated bots. More than 80% of the trading volume is now algorithmic. Say bye to overpriced fund managers and take control of your own investments. Use Quant Savvy systems to level the playing field between the amateurs and the pros!
Quant Savvy presents sophisticated algorithmic trading strategies using automated bots. More than 80% of the trading volume is now algorithmic. Say bye to overpriced fund managers and take control of your own investments. Use Quant Savvy systems to level the playing field between the amateurs and the pros!
Our futures trading system can be fully automated, the algo bots literally work for you to exploit the market and can enhance your day trading performance. Use our day trading strategies to potentially increase your returns.**
Algorithmic trading systems, when switched on, can invest your capital and remove all human emotions from trading decisions, eliminating the psychology of investors – Fear and Greed. We only trade futures markets (where the pros trade) due to huge liquidity and low margins.
The Alpha Equivalence is a diversified portfolio of algorithmic trading systems. Each algorithmic trading system is designed to specialize and favour certain market conditions: fast or slow trends, rangebound or low volatility markets. We have designed a long and short portfolio that adapts and takes advantage of continually changing market conditions.
High Profits, Low Risk, Small Drawdowns**. Our futures trading system is 100% hands-free, the algo bots literally work for you to exploit the market and enhance your day trading performance. Use our day trading strategies to potentially increase your returns.**
Algorithmic trading systems, when switched on, can invest your capital and remove all human emotions from trading decisions, eliminating the psychology of investors – Fear and Greed. We only trade futures markets (where the pros trade) due to huge liquidity and low margins.
The Alpha Equivalence is a diversified portfolio of algorithmic trading systems. Each algorithmic trading system is designed to specialize and favour certain market conditions: fast or slow trends, rangebound or low volatility markets. We have designed a long and short portfolio that adapts and takes advantage of continually changing market conditions.
We are very confident in our systems' performance - try it now. We pay for your server, hardware & software! We pay for server maintenance & hardware monitoring
Trading multiple independent, uncorrelated automated systems leads to more consistent results. The systems are weighted equally to reduce the odds of losing periods.
Never experience Fear and Greed. Never average down a losing trade. The risk is predefined before any trade is placed. Algo bot calculates the odds on each trade and manages risk during a trade.
Only day trading systems means no black swan or worrying about unexpected news overnight. Take advantage of lower margins and increased liquidity. Sleep easily without worrying about some crisis event.
Quant trading requires liquidity, hence we trade only futures markets. Users want to increase position size as trading profits grow. This would be impossible without being day trade only with max volume and liquidity!
We have results for previous portfolios we have traded and do not rely solely on backtested data. We do not use amateur stuff like trading indicators or backtest optimisation as true professionals would never use these lagging tools!
Humans can never react as quick as a machine, algorithms make decisions in microseconds & easily execute multiple trades simultaneously. While you are getting ready to click the mouse our systems already in a trade.
Algo systems can trade multiple market strategies simultaneously without making any errors. Without trading bots, it would be unimaginable to trade multiple markets simultaneously.
Measures amount of risk incurred and our backtested AE Trading Bot has only 33% drawdown over 20 years. This includes the credit crisis of 2008 and is based on $100k starting capital and 2% risk per trade. Avg Yearly return is 100%.
Quant trading is using proprietary statistical measures to create an edge. Each trade has a positive expectancy, we trade with confidence knowing each trade has a probability of success heavily in your favour.
Trading multiple independent, uncorrelated automated systems leads to more consistent results. The systems are weighted equally to reduce the odds of losing periods.
Never experience Fear and Greed. Never average down a losing trade. The risk is predefined before any trade is placed. Algo bot calculates the odds on each trade and manages risk during a trade.
Only day trading systems means no black swan or worrying about unexpected news overnight. Take advantage of lower margins and increased liquidity. Sleep easily without worrying about some crisis event.
Quant trading requires liquidity, hence we trade only futures markets. Users want to increase position size as trading profits grow. This would be impossible without being day trade only with max volume and liquidity!
We have results for previous portfolios we have traded and do not rely solely on backtested data. We do not use amateur stuff like trading indicators or backtest optimisation as true professionals would never use these lagging tools!
Humans can never react as quick as a machine, algorithms make decisions in microseconds & easily execute multiple trades simultaneously. While you are getting ready to click the mouse our systems already in a trade.
Algo systems can trade multiple market strategies simultaneously without making any errors. Without trading bots, it would be unimaginable to trade multiple markets simultaneously.
Measures amount of risk incurred and our backtested AE Trading Bot has only 33% drawdown over 20 years. This includes the credit crisis of 2008 and is based on $100k starting capital and 2% risk per trade. Avg Yearly return is 100%.
Quant trading is using proprietary statistical measures to create an edge. Each trade has a positive expectancy, we trade with confidence knowing each trade has a probability of success heavily in your favour.
Alpha Equivalence Bot can be used by users from the United States (80% are from the US), United Kingdom, European Union, Australia, New Zealand, India and many other countries in which a compatible futures broker account can be opened: Compatible Futures Broker List
You choose your own broker, so only you have access to your funds. You can choose to withdraw profits at any time. This is futures only day trading means that margins are incredibly low (SEC pattern day trading rule does not apply to futures trading). We are very confident in our systems’ performance, so try it for yourself.
Our results speak for themselves. There is no fixed monthly fees, so we only make money if you do.
Secure your space to try algortihmic trading systems one month for free. Our CEO will personally contact any prospective Client to give you more information.
We have many compatible brokers. As it is your broker, you have complete control over your own account and money.
As a client you can let the day trading systems trade autonomously. You also have full control over your own account.
Backtested results speak for themselves. There is only an annual subscription fee, we pay for your server, hardware & software!
Secure your space to try algorithmic trading systems
We have many compatible brokers. As it is your broker, you have complete control over your own account and money.
Users can turn systems fully automated. You also have full control over your own account.
Whether you are an entry-level investor, an established professional trader, an investment advisor or a fund manager, you can improve your trading speed and risk per trade using our algo systems.
Alpha Equivalence Bot can be used by users from the United States (80% are from the US), United Kingdom, European Union, Australia, New Zealand, India and many other countries in which a compatible futures broker account can be opened: Compatible Futures Broker List
You choose your own broker, so only you have access to your funds. You can choose to withdraw profits at any time. This is futures only day trading means that margins are incredibly low (SEC pattern day trading rule does not apply to futures trading). We are very confident in our systems’ performance, so try it for yourself.
Our results speak for themselves. There is no fixed monthly fees, so we only make money if you do.
Secure your space to try algortihmic trading systems one month for free. Our CEO will personally contact any prospective Client to give you more information.
We have many compatible brokers. As it is your broker, you have complete control over your own account and money.
As a client you can let the day trading systems trade autonomously. You also have full control over your own account.
Backtested results speak for themselves. There is only an annual subscription fee, we pay for your server, hardware & software!
Secure your space to try algorithmic trading systems
We have many compatible brokers. As it is your broker, you have complete control over your own account and money.
Users can turn systems fully automated. You also have full control over your own account.
Whether you are an entry-level investor, an established professional trader, an investment advisor or a fund manager, you can improve your trading speed and risk per trade using our algo systems.
See expectations based on different risk profiles – each investor has different risk tolerance and profiles should be adjusted relative to market price and volatility. Futures Trading has large potential rewards but also large potential risks.
It is not appropriate for all investors – do not trade with money you cannot afford to lose.
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $4,210 | $15,952 | $28,624 | $57,164 | $84,735 |
| 2020 | $11,693 | $28,341 | $62,811 | $119,524 | $183,759 |
| 2019 | $12,819 | $29,197 | $59,604 | $117,548 | $177,546 |
| 2018 | $6,620 | $25,968 | $47,324 | $99,558 | $148,686 |
| 2017 | $3,616 | $8,943 | $17,798 | $35,002 | $52,882 |
| Net Gain Since 2002 | $189,222 | $482,299 | $967,924 | $1,933,122 | $2,905,425 |
| $ Avg Monthly Gain | $845 | $2,153 | $4,321 | $8,630 | $12,971 |
| % Avg Monthly Gain | 4.22% | 4.31% | 4.32% | 4.32% | 4.32% |
| % Avg Annual Gain | 50.68% | 51.67% | 51.85% | 51.78% | 51.88% |
| Avg Winning Trade | $76 | $196 | $392 | $785 | $1,177 |
| Avg Losing Trade | -$65 | -$160 | -$319 | -$639 | -$958 |
| Avg Winning Day | $ 168 | $ 413 | $ 822 | $ 1,645 | $ 2,470 |
| Avg Losing Day | -$ 126 | -$ 327 | -$ 655 | -$ 1,312 | -$ 1,961 |
| Max Drawdown | -$3,522 | -$8,416 | -$16,712 | -$33,213 | -$50,036 |
| Max Drawdown % | -17.61% | -16.83% | -16.71% | -16.61% | -16.68% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13089 | 13089 | 13089 | 13089 | 13089 |
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $12,031 | $28,623 | $57,163 | $116,351 | $172,018 |
| 2020 | $20,509 | $62,810 | $119,523 | $242,973 | $362,516 |
| 2019 | $22,257 | $59,604 | $117,547 | $234,955 | $352,797 |
| 2018 | $20,144 | $47,324 | $99,557 | $199,075 | $298,948 |
| 2017 | $6,859 | $17,797 | $35,001 | $70,645 | $105,619 |
| Net Gain Since 2002 | $382,588 | $967,923 | $1,933,121 | $3,874,246 | $5,803,525 |
| $ Avg Monthly Gain | $1,708 | $4,321 | $8,630 | $17,296 | $25,909 |
| % Avg Monthly Gain | 8.54% | 8.64% | 8.63% | 8.65% | 8.64% |
| % Avg Annual Gain | 102.48% | 103.71% | 103.56% | 103.77% | 103.63% |
| Avg Winning Trade | $157 | $392 | $785 | $1,569 | $2,354 |
| Avg Losing Trade | $-129 | $-319 | $-639 | $-1,276 | -$1,915 |
| Avg Winning Day | $ 332 | $ 822 | $ 1645 | $ 3,292 | $ 4,939 |
| Avg Losing Day | -$ 263 | -$ 655 | -$ 1,312 | -$ 2,616 | -$ 3,925 |
| Max Drawdown | $-6,503 | $-16,712 | -$33,212 | $-66,703 | -$100,005 |
| Max Drawdown % | -32.52% | -33.42% | -33.21% | -33.35% | -33.33% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13,089 | 13,089 | 13,089 | 13,089 | 13,089 |
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $16,790 | $43,860 | $84,735 | $172,018 | $257,725 |
| 2020 | $38,949 | $88,754 | $183,759 | $362,516 | $544,892 |
| 2019 | $34,230 | $87,430 | $177,546 | $352,797 | $529,663 |
| 2018 | $27,455 | $74,642 | $148,686 | $298,948 | $446,036 |
| 2017 | $10,531 | $26,164 | $52,882 | $105,619 | $158,348 |
| Net Gain Since 2002 | $579,465 | $1,449,138 | $2,905,425 | $5,803,525 | $8,705,932 |
| $ Avg Monthly Gain | $2,587 | $6,469 | $12,971 | $25,909 | $38,866 |
| % Avg Monthly Gain | 12.93% | 12.94% | 12.97% | 12.95% | 12.96% |
| % Avg Annual Gain | 155.21% | 155.26% | 155.65% | 155.45% | 155.46% |
| Avg Winning Trade | $235 | $588 | $1,177 | $2,354 | $3,530 |
| Avg Losing Trade | -$192 | -$479 | -$958 | -$1,915 | -$2,873 |
| Avg Winning Day | $ 493 | $ 1,233 | $ 2,471 | $ 4,939 | $ 7,406 |
| Avg Losing Day | -$ 395 | -$ 984 | -$ 1,962 | -$ 3,925 | -$ 5,890 |
| Max Drawdown | -$9,930 | -$24,939 | -$50,036 | -$100,005 | -$150,101 |
| Max Drawdown % | -49.65% | -49.88% | -50.04% | -50.00% | -50.03% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13089 | 13089 | 13089 | 13089 | 13089 |
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $24,215 | $57,164 | $116,351 | $229,127 | $346,706 |
| 2020 | $49,981 | $119,524 | $242,974 | $484,131 | $727,377 |
| 2019 | $46,857 | $117,548 | $234,955 | $470,128 | $704,365 |
| 2018 | $41,996 | $99,558 | $199,075 | $396,300 | $595,128 |
| 2017 | $13,808 | $35,002 | $70,645 | $141,184 | $211,517 |
| Net Gain Since 2002 | $780,155 | $1,933,122 | $3,874,246 | $7,736,607 | $11,609,140 |
| $ Avg Monthly Gain | $3,483 | $8,630 | $17,296 | $34,538 | $51,827 |
| % Avg Monthly Gain | 17.41% | 17.26% | 17.30% | 17.27% | 17.28% |
| % Avg Annual Gain | 208.97% | 207.12% | 207.55% | 207.23% | 207.31% |
| Avg Winning Trade | $315 | $785 | $1,569 | $3,137 | $4,707 |
| Avg Losing Trade | -$256 | -$639 | -$1,276 | -$2,552 | -$3,830 |
| Avg Winning Day | $ 660 | $ 1,645 | $ 3,292 | $ 6,578 | $ 9,870 |
| Avg Losing Day | -$ 524 | -$ 1,312 | -$ 2,616 | -$ 5,237 | -$ 7,857 |
| Max Drawdown | -$13,373 | -$33,213 | -$66,703 | -$133,328 | -$199,984 |
| Max Drawdown % | -66.86% | -66.43% | -66.70% | -66.66% | -66.66% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13089 | 13089 | 13089 | 13089 | 13089 |
See expectations based on different risk profiles – each investor has different risk tolerance and profiles should be adjusted relative to market price and volatility. Futures Trading has large potential rewards but also large potential risks.
It is not appropriate for all investors – do not trade with money you cannot afford to lose.
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $4,210 | $15,952 | $28,624 | $57,164 | $84,735 |
| 2020 | $11,693 | $28,341 | $62,811 | $119,524 | $183,759 |
| 2019 | $12,819 | $29,197 | $59,604 | $117,548 | $177,546 |
| 2018 | $6,620 | $25,968 | $47,324 | $99,558 | $148,686 |
| 2017 | $3,616 | $8,943 | $17,798 | $35,002 | $52,882 |
| Net Gain Since 2002 | $189,222 | $482,299 | $967,924 | $1,933,122 | $2,905,425 |
| $ Avg Monthly Gain | $845 | $2,153 | $4,321 | $8,630 | $12,971 |
| % Avg Monthly Gain | 4.22% | 4.31% | 4.32% | 4.32% | 4.32% |
| % Avg Annual Gain | 50.68% | 51.67% | 51.85% | 51.78% | 51.88% |
| Avg Winning Trade | $76 | $196 | $392 | $785 | $1,177 |
| Avg Losing Trade | -$65 | -$160 | -$319 | -$639 | -$958 |
| Avg Winning Day | $ 168 | $ 413 | $ 822 | $ 1,645 | $ 2,470 |
| Avg Losing Day | -$ 126 | -$ 327 | -$ 655 | -$ 1,312 | -$ 1,961 |
| Max Drawdown | -$3,522 | -$8,416 | -$16,712 | -$33,213 | -$50,036 |
| Max Drawdown % | -17.61% | -16.83% | -16.71% | -16.61% | -16.68% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13089 | 13089 | 13089 | 13089 | 13089 |
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $12,031 | $28,623 | $57,163 | $116,351 | $172,018 |
| 2020 | $20,509 | $62,810 | $119,523 | $242,973 | $362,516 |
| 2019 | $22,257 | $59,604 | $117,547 | $234,955 | $352,797 |
| 2018 | $20,144 | $47,324 | $99,557 | $199,075 | $298,948 |
| 2017 | $6,859 | $17,797 | $35,001 | $70,645 | $105,619 |
| Net Gain Since 2002 | $382,588 | $967,923 | $1,933,121 | $3,874,246 | $5,803,525 |
| $ Avg Monthly Gain | $1,708 | $4,321 | $8,630 | $17,296 | $25,909 |
| % Avg Monthly Gain | 8.54% | 8.64% | 8.63% | 8.65% | 8.64% |
| % Avg Annual Gain | 102.48% | 103.71% | 103.56% | 103.77% | 103.63% |
| Avg Winning Trade | $157 | $392 | $785 | $1,569 | $2,354 |
| Avg Losing Trade | $-129 | $-319 | $-639 | $-1,276 | -$1,915 |
| Avg Winning Day | $ 332 | $ 822 | $ 1645 | $ 3,292 | $ 4,939 |
| Avg Losing Day | -$ 263 | -$ 655 | -$ 1,312 | -$ 2,616 | -$ 3,925 |
| Max Drawdown | $-6,503 | $-16,712 | -$33,212 | $-66,703 | -$100,005 |
| Max Drawdown % | -32.52% | -33.42% | -33.21% | -33.35% | -33.33% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13,089 | 13,089 | 13,089 | 13,089 | 13,089 |
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $16,790 | $43,860 | $84,735 | $172,018 | $257,725 |
| 2020 | $38,949 | $88,754 | $183,759 | $362,516 | $544,892 |
| 2019 | $34,230 | $87,430 | $177,546 | $352,797 | $529,663 |
| 2018 | $27,455 | $74,642 | $148,686 | $298,948 | $446,036 |
| 2017 | $10,531 | $26,164 | $52,882 | $105,619 | $158,348 |
| Net Gain Since 2002 | $579,465 | $1,449,138 | $2,905,425 | $5,803,525 | $8,705,932 |
| $ Avg Monthly Gain | $2,587 | $6,469 | $12,971 | $25,909 | $38,866 |
| % Avg Monthly Gain | 12.93% | 12.94% | 12.97% | 12.95% | 12.96% |
| % Avg Annual Gain | 155.21% | 155.26% | 155.65% | 155.45% | 155.46% |
| Avg Winning Trade | $235 | $588 | $1,177 | $2,354 | $3,530 |
| Avg Losing Trade | -$192 | -$479 | -$958 | -$1,915 | -$2,873 |
| Avg Winning Day | $ 493 | $ 1,233 | $ 2,471 | $ 4,939 | $ 7,406 |
| Avg Losing Day | -$ 395 | -$ 984 | -$ 1,962 | -$ 3,925 | -$ 5,890 |
| Max Drawdown | -$9,930 | -$24,939 | -$50,036 | -$100,005 | -$150,101 |
| Max Drawdown % | -49.65% | -49.88% | -50.04% | -50.00% | -50.03% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13089 | 13089 | 13089 | 13089 | 13089 |
| Results based on Intial Capital | $20,000 | $50,000 | $100,000 | $200,000 | $300,000 |
|---|---|---|---|---|---|
| 2021 | $24,215 | $57,164 | $116,351 | $229,127 | $346,706 |
| 2020 | $49,981 | $119,524 | $242,974 | $484,131 | $727,377 |
| 2019 | $46,857 | $117,548 | $234,955 | $470,128 | $704,365 |
| 2018 | $41,996 | $99,558 | $199,075 | $396,300 | $595,128 |
| 2017 | $13,808 | $35,002 | $70,645 | $141,184 | $211,517 |
| Net Gain Since 2002 | $780,155 | $1,933,122 | $3,874,246 | $7,736,607 | $11,609,140 |
| $ Avg Monthly Gain | $3,483 | $8,630 | $17,296 | $34,538 | $51,827 |
| % Avg Monthly Gain | 17.41% | 17.26% | 17.30% | 17.27% | 17.28% |
| % Avg Annual Gain | 208.97% | 207.12% | 207.55% | 207.23% | 207.31% |
| Avg Winning Trade | $315 | $785 | $1,569 | $3,137 | $4,707 |
| Avg Losing Trade | -$256 | -$639 | -$1,276 | -$2,552 | -$3,830 |
| Avg Winning Day | $ 660 | $ 1,645 | $ 3,292 | $ 6,578 | $ 9,870 |
| Avg Losing Day | -$ 524 | -$ 1,312 | -$ 2,616 | -$ 5,237 | -$ 7,857 |
| Max Drawdown | -$13,373 | -$33,213 | -$66,703 | -$133,328 | -$199,984 |
| Max Drawdown % | -66.86% | -66.43% | -66.70% | -66.66% | -66.66% |
| Trades Per Month | 58 | 58 | 58 | 58 | 58 |
| Total All Systems Trades | 13089 | 13089 | 13089 | 13089 | 13089 |
Quant Savvy, in partnership with MultiCharts, provides users with the freedom to use numerous brokers, including TradeStation, Interactive Brokers, OEC, AMP, Dorman Trading, Futures Online etc. See the full list of compatible brokers here.
MultiCharts has created built-in APIs for each compatible broker directly into the platform, making it very easy to trade. With one of the best charting in the industry, it allows Multi-time frame analysis, fast response times, complete interactivity with everything on the screen. Read MultiCharts review here.
We recommend TradeStation as the best broker with a stable platform which works well with automated trading systems. TradeStation is widely used amongst day traders and fully automated traders. They have integrated backtesting software and automated alert functions with real-time market data from all major exchanges.
This brokerage platform offers extensive charting capabilities, advanced tools and trading strategies backed by research. Click here to read TradeStation software review.
Interactive Brokers is a highly recommended brokerage that is compatible with our algo trading bot. IBKR offers strength and stability with a low cost. With access to 135 markets in 33 countries, IB offers more stock markets than its competitors.
Interactive Brokers is mostly used by professionals, money managers and hedge funds. Interactive Brokers API is compatible with the majority of day trading platforms and software. To learn more, read the best trading platforms review.
Quant Savvy, in partnership with MultiCharts, provides users with the freedom to use numerous brokers, including TradeStation, Interactive Brokers, OEC, AMP, Dorman Trading, Futures Online etc. See the full list of compatible brokers here.
MultiCharts has created built-in APIs for each compatible broker directly into the platform, making it very easy to trade. With one of the best charting in the industry, it allows Multi-time frame analysis, fast response times, complete interactivity with everything on the screen. Read MultiCharts review here.
We recommend TradeStation as the best broker with a stable platform which works well with automated trading systems. TradeStation is widely used amongst day traders and fully automated traders. They have integrated backtesting software and automated alert functions with real-time market data from all major exchanges.
This brokerage platform offers extensive charting capabilities, advanced tools and trading strategies backed by research. Click here to read TradeStation software review.
Interactive Brokers is a highly recommended brokerage that is compatible with our algo trading bot. IBKR offers strength and stability with a low cost. With access to 135 markets in 33 countries, IB offers more stock markets than its competitors.
Interactive Brokers is mostly used by professionals, money managers and hedge funds. Interactive Brokers API is compatible with the majority of day trading platforms and software. To learn more, read the best trading platforms review.
We will email you with pricing and more information about algorithmic trading systems. Our CEO will contact you personally.
Kemp House, City Road
London,
United Kingdom, EC1V 2NX
Email: info@quantsavvy.com
US/Canada Toll Free: 1-800-820-3275
Rest of World: 0203 005 5238
