QuantVantage.ai
Quantitative trading strategies built for retail traders. Subscribe to receive trading signals generated by our algorithms and reduce the role of emotion, bias, and guesswork in your trading.
Meet GenAlpha
GenAlpha is our flagship strategy. Its backtested and live results, compared with the S&P 500 and Nasdaq-100, are published below and on the GenAlpha Deepdive page.
Jan 1, 2019 to Oct 31, 2026
| Metric | SPY*100% allocation | QQQ*100% allocation | GenAlpha95% allocation |
|---|---|---|---|
| CAGR | 16.7% | 21.7% | 95.1% |
| Total returns | 235% | 365.3% | 18,652.5% |
| Value of $10K | $33,501 | $46,526 | $1,875,245 |
*SPY is the SPDR S&P 500 ETF Trust, which tracks the S&P 500 index. QQQ is the Invesco QQQ Trust, which tracks the Nasdaq-100 index.
| Period | SPY | QQQ | GenAlpha |
|---|---|---|---|
| Backtest (hypothetical), January 2019 – December 2025: CAGR | +17.1% | +22.6% | +110.2% |
| Backtest: value of $10K at the end of 2025 | $30,244 | $41,624 | $1,810,997 |
| Live signals, 2026 to date: return | +10.8% | +11.8% | +3.5% |
The figures above blend the backtest years with the live year; this table separates them.
2026 is year to date. Year-by-year figures are listed on the GenAlpha Deepdive.
Performance results from January 2019 through December 2025 are based on backtested data. 2026 results through October 31, 2026 reflect actual signals sent to subscribers (calculated from the signals, not from subscriber accounts). Past performance does not guarantee future results.
Benchmark figures for SPY and QQQ assume 100% of capital invested at all times. Strategy positions are sized to a maximum of 95% of capital, with the remainder in cash.
Discretionary trading - making decisions based on gut feelings, market noise, or the latest news - is prone to human biases that can hurt returns. Traders can make emotional decisions during volatility, hold losing positions too long hoping for recovery, exit winning trades too early out of fear, and overweight recent events. Discretionary approaches are also difficult to backtest, so it is hard to evaluate them before risking real capital.
QuantVantage.ai sends the signal to the webhook you set up. Your platform places the order in your own account; whether and how to act on it is your decision.
Systematic trading follows predefined rules, which takes in-the-moment emotion out of each decision. Our algorithms apply the same rules every time. Every strategy is backtested across years of historical data and diverse market conditions before it is offered. Backtesting shows how a set of rules would have performed in the past; it does not predict future results.
What systematic signals offer compared with discretionary trading:
Our algorithms do the market analysis, so you don't spend hours on charts and data.
Every trade decision is rule-based and backtested. You avoid constantly evaluating positions and second-guessing yourself.
Signals are generated when the strategy's conditions are met, not when you happen to be at your screen. Execution timing and prices still depend on your broker and platform.
Every strategy is published with backtested risk metrics such as maximum drawdown and volatility, so you can review its historical risk before committing capital. Future drawdowns may be larger.
Signals follow the same rules regardless of market emotions or news cycles, which helps keep fear, greed, hope, and panic out of individual trade decisions.
Make sure that your brokerage accounts allow trading leveraged ETFs such as TQQQ and allow trading with unsettled funds (for example, a limited margin account). Be aware of Pattern Day Trader restrictions.
Sign up for an account (most likely a paid subscription) at SignalStack.com or another supported platform and configure your paper trading or brokerage account. Copy the webhook provided by them.
Sign up for a QuantVantage.ai account, explore available strategies, subscribe to a strategy, and provide the webhook, email, and mobile number for signal alerts. Get started here.
Monitor your signals and quotas available at SignalStack or your chosen platform, make changes if required. Some brokerages may require you to reauthenticate in your platform every week.
Compare our strategies below. Each Deepdive page shows full performance and risk metrics.
New: GenSpy, GenQ and GenConfluence. GenAlpha and GenSigma are currently waitlisted.
The S&P Specialist
Our S&P 500 strategy, with strong risk-adjusted returns in backtesting since 2019.
Jan 1, 2019 – Oct 31, 2026. All results are from a backtest. Trades leveraged ETFs. Price: $100 per month.
The Steady Hand
Our steady strategy, with the smallest drawdown of our published strategies in backtesting.
Jan 1, 2019 – Oct 31, 2026. All results are from a backtest. Price: $50 per month.
The Balancer
Our balanced strategy, pairing the Nasdaq-100 with gold.
Jan 1, 2019 – Oct 31, 2026. All results are from a backtest. Price: $50 per month.
The Champion
Our flagship strategy that has demonstrated strong risk-adjusted returns in backtesting over the long‑term.
Jan 1, 2019 – Oct 31, 2026. Backtested through 2025; 2026 reflects live signals. Trades leveraged ETFs. Waitlisted — join the waitlist for access.
The High-Flyer
Our high-flyer strategy for daring souls, with higher returns than The Champion in our published results.
Jan 1, 2019 – Oct 31, 2026. Backtested through 2025; 2026 reflects live signals. A high-risk strategy. Trades leveraged ETFs. Waitlisted — join the waitlist for access.
Strategy descriptions refer to our published backtested and live results; they are not a promise of future performance. Past performance does not guarantee future results.
Knowledge · free
Two free series from QuantVantage.ai: popular trading beliefs put to the test, and plain-English guides to how public companies make money.
Myth or Math? by QuantVantage.ai
Each belief is written down as an exact rule before it is tested, then tested on decades of data and given a verdict such as Math, Myth or Half-truth. Educational content — not investment advice.
Midterm elections, myth or math? We tested 100 years of US stocks. Before the vote: weak. After it: strong for decades, but not lately. A half-truth.
See the test →MATHThe pre-holiday rally, myth or math? We tested 100 years of US stocks. The day before a market holiday really has beaten other days. Math, but small.
See the test →MYTHDo markets love gridlock? We tested US stocks since 1927. Years with power split in Washington did no better than one-party years. A myth.
See the test →QuantVantage.ai Orange Docket
Plain-English guides to how public companies make money, built from SEC filings. Educational content — not investment advice.
A plain-English guide to Adobe: its software, how it makes money, its rivals, its strengths and risks, and what protects the business.
Read the explainer →TechnologyA plain-English guide to Arista Networks: its switches and software, how it makes money, its rivals, its strengths and risks, and what protects it.
Read the explainer →FinancialsA plain-English guide to American Express: how a card company earns from merchant fees, card fees and loans, its rivals, its risks and what protects it.
Read the explainer →Get systematic quantitative trading signals to help inform your trading decisions.