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Disclosure: Performance results are based on model accounts using our Falcon Algo NQ with a $220,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 7/2/2020 and 6/5/2025, the model accounts reflected gains of 554.30% and a win rate of approximately 31.7% based on closed trades. Raptor Algo NQ with a $80,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 2/16/2024 and 6/5/2025, the model accounts reflected gains of 87.30% and a win rate of approximately 32% based on closed trades. Spartan Algo NQ with a $80,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 12/7/2020 and 6/5/2025, the model accounts reflected gains of 312.40% and a win rate of approximately 36.3% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation. PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
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Apollo Performance Review ($25k+)
Date Range: 10/9/2023 to 6/5/2025
Disclosure: Performance results are based on model accounts using our Apollo Algo US Indices with a $25,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 10/9/2023 and 6/5/2025, the model accounts reflected gains of 58.70% and a win rate of approximately 54.5% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Disclosure: Performance results are based on model accounts using our Apollo Algo US Indices with a $25,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 10/9/2023 and 6/5/2025, the model accounts reflected gains of 58.70% and a win rate of approximately 54.5% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Real Brokerage Statement from a Client with a $25,000 Account Balance
Spartan Performance Review ($80k+)
Date Range: 12/8/2020 to 6/5/2025
Disclosure: Performance results are based on model accounts using our Spartan Algo NQ with a $80,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 12/8/2020 and 6/5/2025, the model accounts reflected gains of 312.40% and a win rate of approximately 36.3% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Disclosure: Performance results are based on model accounts using our Spartan Algo NQ with a $80,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 12/8/2020 and 6/5/2025, the model accounts reflected gains of 312.40% and a win rate of approximately 36.3% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Raptor Performance Review ($80k+)
Date Range: 2/16/2024 to 6/5/2025
Disclosure: Performance results are based on model accounts using our Raptor Algo NQ with a $80,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 2/16/2024 and 6/5/2025, the model accounts reflected gains of 87.30% and a win rate of approximately 32% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Disclosure: Performance results are based on model accounts using our Raptor Algo NQ with a $80,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 2/16/2024 and 6/5/2025, the model accounts reflected gains of 87.30% and a win rate of approximately 32% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Millennium Performance Review ($100k+)
Date Range: 9/15/2020 to 6/5/2025
Disclosure: Performance results are based on model accounts using our Millennium Algo MNQ with a $100,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 9/15/2020 and 6/5/2025, the model accounts reflected gains of 187.00% and a win rate of approximately 35.6% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Disclosure: Performance results are based on model accounts using our Millennium Algo MNQ with a $100,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 9/15/2020 and 6/5/2025, the model accounts reflected gains of 187.00% and a win rate of approximately 35.6% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Falcon Performance Review ($220k+)
Date Range: 7/2/2020 to 6/5/2025
NOW AVAILABLE FOR $25K ACCOUNTS
Disclosure: Performance results are based on model accounts using our Falcon Algo NQ with a $220,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 7/2/2020 and 6/5/2025, the model accounts reflected gains of 554.30% and a win rate of approximately 31.7% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation. PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Disclosure: Performance results are based on model accounts using our Falcon Algo NQ with a $220,000 account size that use the volume-weighted average price (VWAP) of real-time trade signals. Between 7/2/2020 and 6/5/2025, the model accounts reflected gains of 554.30% and a win rate of approximately 31.7% based on closed trades. For systems with connected brokerage accounts, fills reflect actual live executions. For systems without users, fills reflect executions from the originating signal account, which may be live or simulated. All signals are generated in real time; no results are based on backtesting or historical simulation.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
Real Results from Users: See the Impact of Our Automated Trading Algorithms!
A User Made 37.40% on $50,000 Account in Less Than 4 Months!
A User Made 37.40% on $50,000 Account in Less Than 4 Months!
A User Made 22.85% on $50,000 Account in Less Than 1 Month!
A User Made 22.85% on $50,000 Account in Less Than 1 Month!
A User Made 7.95% on $50,000 Account in Less Than a Month!
A User Made 7.95% on $50,000 Account in Less Than a Month!
Brokerage Statement on $25,000 Account Sent by Daniel V.
Returns on $25,000 Account Submitted by Maik!
Real Results on $25,000 Account Sent by Chris E.
A Real P/L on $50,000 Account Sent by Brad W.
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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.
Unless otherwise noted, all returns posted on this presentation is considered Hypothetical Performance.
Algo Exchange provides trading algorithms based on a computerized system, which is also available for use on a personal computer. All customers receive the same signals within any given algorithm package. All advice is impersonal and not tailored to any specific individual's unique situation. Algo Exchange, 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.
Algo Exchange LLC is considered a Third-Party Trading System Developer and not registered with the CFTC/NFA as a commodity trading advisor (CTA), claiming the self-executing exemption provided by CFTC 4.14(a)(10). Marketing material disseminated online including statements and back-tested reports have not been audited or reviewed by any government agencies. Carefully consider this prior to purchasing our algorithms. By signing the below, you understand that you have not been provided a disclosure document, since Algo Exchange LLC is operating under an exclusion provided by the Commodity Exchange Act.
CFTC Rule 4.41: 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.
For additional disclosure information, click HERE
Copyright © 2025 Algo Exchange. All Rights Reserved.
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.
Unless otherwise noted, all returns posted on this presentation is considered Hypothetical Performance.
Algo Exchange provides trading algorithms based on a computerized system, which is also available for use on a personal computer. All customers receive the same signals within any given algorithm package. All advice is impersonal and not tailored to any specific individual's unique situation. Algo Exchange, 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.
Algo Exchange LLC is considered a Third-Party Trading System Developer and not registered with the CFTC/NFA as a commodity trading advisor (CTA), claiming the self-executing exemption provided by CFTC 4.14(a)(10). Marketing material disseminated online including statements and back-tested reports have not been audited or reviewed by any government agencies. Carefully consider this prior to purchasing our algorithms. By signing the below, you understand that you have not been provided a disclosure document, since Algo Exchange LLC is operating under an exclusion provided by the Commodity Exchange Act.
CFTC Rule 4.41: 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.
For additional disclosure information, click HERE