In a world flooded with generic trading signals that chase trends, deliver directional bets, and rarely beat passive indices after fees and risk—most services fail spectacularly.

The 2024–2025 SPIVA data confirms it: 80–94% of active managers underperform benchmarks over long horizons, even on risk-adjusted terms.

Silverfire Research is different—and as far as available evidence shows in early 2026, we're the only provider delivering near-real-time US stock pair trading signals directly to a private Discord channel.

We harness the same powerful equity statistical arbitrage strategy employed by top hedge funds: market-neutral long/short pairs that exploit temporary price divergences in cointegrated stocks, reducing directional market risk dramatically.

Our Silverfire Beta White Paper proves the edge with transparent, simulated results in an Interactive Brokers account:

• 432 trades over 7.5 months
• +17.4% return (+28.8% annualized)
• Max drawdown: just -3.6%
• Sharpe ratio: 1.7
• Sortino ratio: 3.8

This crushed the S&P 500 (+10.8%) and First Trust Long/Short Equity ETF (+3.8%) over the same period—with far lower volatility and drawdown.

Powered by the industry-leading PairTrade Finder® platform (founded 2008, trusted by professionals), our signals arrive 2–3 times per day during US sessions, high-probability setups ready for easy implementation by sophisticated self-directed traders.

No hype, no AI-generated noise, no "2 and 20" hedge fund fees—just rigorous, backtested, market-neutral edge at $99/month.

If you're tired of underperforming signals and ready for verifiable low-risk outperformance, subscribe now.

Download the White Paper first—see the proof yourself.

Trading involves risk; past performance isn't indicative of future results, but our mission is simple: deliver what actually works.

We are focusing on a niche in the trading services industry, providing a service that we strive consistently to ensure actually works. We seek to deliver to sophisticated self-directed traders and investors a easy-to-implement trading strategy that can produce higher risk-adjusted returns that passive equity index investing. 

If you read our Silverfire Beta White Paper, available above, and you focus on Slide 3 "The Power of Equity Statistical Arbitrage", one might reasonably assume that a self-directed equity stat arb trader with a decent system may reach a Sharpe ratio of 2 or more, as they will avoid the typical "2 and 20" fee structure paid by hedge fund investors.

Additionally, by applying greater leverage than insitutional hedge funds to the strategy (provided risk management is maintained), they might reasonably be expected to match or exceed the long-term S&P 500 return but with a far lower risk profile.  Our mission is to see whether our service can allow traders to achieve this outcome. Our 2025 beta test easily did so.

The majority of stock trading signals services and newsletters underperform the indices on a risk-adjusted basis and have no particular value e.g. the 2024 SPIVA scorecard revealed that 94% of active domestic equity funds underperformed the S&P Composite 1500 over 20 years, with underperformance rates remaining high (around 80-90%) even on a risk-adjusted basis across various horizons and asset classes.  Additionally, a 2024 investigation into news sentiment-based signals (using data from 2010-2020) concluded that such indicators have limited predictive power and fail to generate consistent risk-adjusted outperformance over indices, with sentiment-driven strategies yielding negative Sharpe ratios and underperforming passive buy-and-hold approaches after transaction costs.

Silverfire Research LLC is solely dedicated to analysing and producing the highest-probability stock pair trading signals it is able. We believe there are 100's of potential US stock pair trading opportunities every single day - we look to provide you with 40-60 of the best of them every month.  That is our mission, and we are focused.

Members of our group may and do pair trade stocks using our system and methodology on a regular basis.  However, these activities are outside of, and unrelated, to Silverfire Research LLC.

Our general win rate is between 65% - 75% with the avg. win being slightly smaller than the avg loss.  Please go to Our Performance page to see the latest results.

Our service is priced at $95/month for personal retail use because we deliberately target sophisticated self-directed traders who seek genuine edge without the exorbitant costs of traditional alternatives.

The vast majority of stock trading signals services and newsletters fail to deliver value, consistently underperforming passive indices on a risk-adjusted basis.

The 2024 SPIVA U.S. Scorecard shows that over 20 years (through December 2024), around 92-94% of domestic equity funds underperformed benchmarks like the S&P Composite 1500, with even higher rates (often 90%+) on risk-adjusted metrics across horizons.

In contrast, hedge funds offering equity statistical arbitrage strategies typically charge "2 and 20" fees—2% management plus 20% of profits—eroding returns significantly for investors.

Our mission focuses on a niche: delivering an easy-to-implement, evidence-based equity stat arb strategy that our 2025 beta testing showed can achieve high Sharpe ratios (potentially 2+), enabling retail traders to match or exceed long-term S&P 500 returns with lower risk through careful leverage—without those heavy fees.

By keeping pricing accessible at $95/month, we prioritize accessibility and real results over profit maximization, unlike most services that charge premium rates yet provide little edge.

This structure aligns incentives with yours: sustainable outperformance, not hidden costs.

Silverfire Research LLC is headed by former investment banker, family-office executive, hedge fund manager and current professional trader, Geoff S.T. Hossie, CMT. Geoff and his team of programmers have been in this business for a long time, over 56 years combined. Geoff’s CV is available here.

We use stock pair trading, also known as market neutral, long/short equity trading, statistical arbitrage or relative value trading.  It is a strategy that has stood the test of time (see white paper on equity stat arb fund returns 2021-2025).

Sign up above and receive our White Paper that explains our equities pair trading strategy in detail, with an example pair analysis, and tracks our beta portfolio's simulated trading performance over 432 closed trades in 7.5 months.   

A detailed description of our pair selection criteria and trading parameters applied can be found here.