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 on the website/email.

Past performance is not indicative of future performance. Trading futures involve a substantial risk of loss and is not appropriate for all investors.

 

Quant Savvy Timeline

Key Milestones and Achievements in Our Company’s Journey | Algo Trading Success

2014 Quant Savvy Launch

Starting Quant Savvy, we aimed to empower retail traders with advanced algorithmic trading systems. Our growth relies solely on the performance of our algo bots. Despite limited capital, we believe our approach will quickly scale our company.

Unlike the biased financial world, we focus on genuine value for our users. This venture marks our first step in building trust-based industry relationships

Jan 2017

2015 Serenity Bot $34k Per Unit

2015 saw a $34k per contract performance on a $15k minimum account. Initial user growth was slow, but our integrity and honesty attracted users looking to enhance their buy-and-hold investment strategies with algorithmic trading.

We offer a 12 Bot Portfolio, hedged long and short, balanced, and market neutral. Users trade via their own VPS with full tech support from Quant Savvy, ensuring optimal performance and risk management in futures trading

Dec 2015

2016 Number 1 Algo System

In Q1 2016, Serenity Bot outperformed amid high volatility. Reaching max scalability, we limited users to prevent performance deterioration due to slippage. Launched Synergy Bot 12 system portfolio, shifting some systems to the more liquid ES market with modified entries and exits.

In October 2015, we allowed FCM/NFA licensed brokers to host some strategies. By 2016, we were the top performer for systems hosted via this broker, solidifying our position in the algorithmic trading market.

Nov 2016

2017 Chimera Bot Trading Live

Q1 2017 saw Synergy Bot adapting to extreme low volatility and an upward market bias. Despite these challenges, our market-neutral strategy prepared us for resilience. In April, we launched Chimera Bot, a seven-system portfolio designed for small account users, reducing risk and enhancing accessibility.

Chimera Bot's live trading began in April and was offered to all users by year-end. Synergy Bot closed the year with steady gains, while Chimera Bot excelled, achieving a remarkable 93% return on a $15k initial investment

Dec 2017

2018 Volatility Explosion

Chimera Bot achieved an impressive +38.5% return in Q1 on a $20k initial account. Synergy & Serenity Bot faced their first drawdown in Feb-Mar 2018 ($8k per unit) due to heightened volatility. Despite this, cumulative net annual profits from a $15k initial capital stand at $49k, with an 11% drawdown.

Rising market prices and volatility spikes were anticipated. Our Bots have performed exceptionally, yet for users seeking lower risk, we recommend transitioning to the superior Chimera 7 Bot system for enhanced stability

Jan 2018

2020 Quant Savvy Future Goals

We've enhanced our portfolio by adding a Crude Oil commodities system and an additional ES system that excels in trending markets.

The Chimera Bot execution has been refined for new users, operating on different timeframes while maintaining the same robust systems. Smaller accounts will benefit from trading the newly created Micro Futures contracts, ensuring accessibility and optimized performance

Mar 2020

2021 Alpha Equiavalence Bot

We've introduced a new portfolio, integrating Chimera systems across multiple markets: ES, YM, and NQ. Our research indicates that trading more systems across diverse markets with smaller bets per trade enhances long-term monthly consistency.

The AE Bot now includes a crucial update: the Position Sizing Bot. This feature automatically adjusts your position size for each market, ensuring balance and updates relative to volatility and market price

Nov, 2021

2023 Performance

Currently, two portfolios are live: Alpha Equivalence Bot and Chimera Bot, trading since 2017. The AE Bot has faced challenges since early 2023, experiencing a drawdown. However, it remains within historically tested performance boundaries. Historically, most portfolios rebound strongly after sluggish periods, with sharp upturns often occurring in just a few months, generating significant gains

Oct 2023

2024 AE Bot All Time High

In 2024, the Alpha Equivalence Bot achieved all-time equity highs, delivering an impressive +18% return from January to June. This exceptional performance underscores the robustness and efficiency of our algorithmic trading systems. The AE Bot's strong start to the year highlights its capability to generate substantial gains, reinforcing our commitment to providing top-tier automated trading solutions

May 2024

Currently Offering Intraday Futures Bot

Since May 2023, we offer the Intraday Futures Bot to clients due to its exceptional performance, outpacing the AE Bot and Chimera. The Intraday Futures Bot excels in today's choppy market, ensuring consistent gains. While the AE Bot thrives in strong trends, especially on significant down days, the Intraday Futures Bot is ideal for all conditions. We expect a strong close to 2023 and are confident in our portfolios' ability to deliver. Choose the Intraday Futures Bot for unmatched performance and seize every market opportunity

Jun 2024

The Journey and New Ideas

Like every company, we will face obstacles and learn to overcome them

Optimize Liquidity and Scalability

Trading liquid futures markets can still pose liquidity concerns, especially when trading over 250 contracts. We have set clear limits on the number of contracts and users per portfolio to ensure optimal performance.

Broker Recommendations

Live fills vary by broker. Users trading Gain Capital accounts with TradeStation software experienced nearly $400 per contract negative variance per month. We recommend using either TradeStation or Interactive Brokers for the best results.

Control Your Risk

Users control their own position size and risk levels. As we are not a fund, regulations prevent us from managing contract sizes. Some users take excessive risks early and then make poor decisions during drawdowns. We aim to educate users on proper position sizing through newsletters, blogs, and white papers.

User Expectations

Despite strong performance in 2015 and 2016, some users were still unsatisfied. In 2016, we were the top performer at our hosting broker, yet some users exited due to short-term expectations. We now only accept individuals with reasonable long-term expectations and solid investment experience.

Long-Term Confidence

We are confident in our systems’ performance. Contact us now to schedule a demo and discover how our algorithmic trading systems can benefit you.

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 on the website/email.

Past performance is not indicative of future performance. Trading futures involve a substantial risk of loss and is not appropriate for all investors.

 

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**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.