SwiftSignals Methodology Report

Methodology & Backtest Details

The proof, assumptions,and framework behind SwiftSignals.

Published Premium strategy statistics, benchmark comparison, and signal structure.

Published Premium only
1,152 signals tested
2021-2025 test window

Published Premium display tiers A, B, and C+ from February 24, 2021 to December 31, 2025.

Headline Numbers

Headline figures for the published Premium strategy against the benchmark.

Ending Capital

Starting from $10,000
SwiftSignals $10,000 → $49,139.03
S&P 500 $10,000 → $17,406.13
2.82x higher ending capital than the S&P 500 benchmark.

Published Premium strategy only, covering display tiers A, B, and C+ from February 24, 2021 to December 31, 2025.

Signals Tested 1,152
Win Rate 61.2%
Profit Factor 1.39
CAGR 38.87%
Max Drawdown 26.12%
Profitable Months 57.6%

Backtest Framework

Test assumptions for the published Premium strategy.

Simulation Assumptions

Starting Capital $10,000
Risk Per Trade 1% of current equity
Compounding Enabled
Entries / Exits Real published dates
Universe Published Premium display tiers A, B, C+

Benchmark Assumptions

Benchmark SPY buy-and-hold
Purchase Date 2021-02-24
Purchase Price $391.77
Shares Purchased 25.5252

Headline Statistics

  • 61.2% win rate: the strategy won more often than it lost across the published sample.
  • 1.39 profit factor: gross gains exceeded gross losses across the test period.
  • 26.12% max drawdown: drawdown remained material across the test period.
  • 57.6% profitable months: the return path was uneven, with profitable months outnumbering losing months but not eliminating variability.

Year-by-Year Context

These annual summaries show where the strategy outperformed strongly, where it preserved capital, and where it lagged the benchmark.

2021

Post-pandemic bull market

Strategy: 222 trades, 64.41% win rate, 1.60 profit factor, year-end equity $16,172.09

SPY: +21.23%, year-end value $12,123.44

2021 was characterized by a strong economic recovery following the COVID-era market disruption. Equity markets broadly advanced as investors rotated into growth and cyclical sectors.

In a favorable recovery market, the strategy materially outperformed SPY. The account advanced 61.72% versus 21.23% for the benchmark.

2022

Bear market and capital preservation

Strategy: 155 trades, 58.71% win rate, 0.99 profit factor, year-end equity $16,262.03

SPY: -19.48%, year-end value $9,761.59

2022 was one of the most difficult years for investors since the Global Financial Crisis. Rising inflation, aggressive Federal Reserve rate hikes, and recession fears pushed the S&P 500 into an official bear market. The index fell more than 20% from its highs during the year.

In a difficult bear-market year, the strategy preserved capital far better than the benchmark, finishing slightly positive while SPY declined 19.48%.

2023

Concentrated recovery market

Strategy: 241 trades, 55.60% win rate, 1.04 profit factor, year-end equity $17,227.17

SPY: +24.29%, year-end value $12,132.37

The S&P 500 recovered strongly in 2023. However, a large proportion of the gains were driven by a relatively small group of mega-cap technology companies often referred to as the "Magnificent Seven." Market concentration reached unusually high levels during the recovery.

2023 was the weakest relative year in the sample. The strategy remained profitable and reached a new equity high, but it did not keep pace with the narrow technology-led benchmark rally.

2025

Positive follow-through

Strategy: 228 trades, 55.70% win rate, 1.06 profit factor, year-end equity $49,139.03

SPY: +16.35%, year-end value $17,406.13

Markets remained constructive and continued benefiting from AI-related investment themes, although returns became more normalized compared to the explosive gains seen previously. Technology and AI remained major drivers of market sentiment.

Performance moderated after the exceptional 2024 run. The strategy remained profitable, continued compounding from a larger equity base, and modestly trailed SPY for the year.

Methodology

Filters and conditions used to qualify published Premium setups.

Trend alignment

Signals look for market structure that supports continuation rather than fighting the broader move.

Breakout quality

Setups are judged on whether price is moving through meaningful levels with confirmation instead of random noise.

Momentum confirmation

Momentum inputs help filter out exhausted moves and highlight setups with a stronger probability of follow-through.

Volume participation

Volume is used to confirm whether a move is attracting enough participation to matter.

Support awareness

Signals are stronger when they sit above relevant support or show a cleaner structure around it.

Risk-first filtering

Overextension, poor structure, and fragile entries are screened out so the trade plan remains usable in practice.

Consistency, Streaks, and Tier Contribution

Supporting statistics for consistency, streaks, and contribution by tier.

Monthly Consistency

34 of 59 months were profitable, a 57.63% profitable-month rate. Best month: July 2024 at +$3,229.57. Worst month: September 2023 at -$1,505.60.

Streak Analysis

Longest winning streak: 18 trades for +$1,748.61. Longest losing streak: 9 trades for -$1,335.00.

Holding Periods

Average hold was 12.53 days, median hold 8 days, longest hold 83 days, and shortest hold same day.

Tier Contribution

Tier A 158 trades

63.29% win rate, 1.79 profit factor, max drawdown -$1,104.82.

Tier B 727 trades

61.76% win rate, 1.30 profit factor, max drawdown -$4,107.68.

Tier C+ 267 trades

58.43% win rate, 1.33 profit factor, max drawdown -$1,068.83.

Tier A contribution

Tier A represented 13.72% of all trades and generated 35.15% of total profits.

What Every Signal Is Built To Show

Each Premium alert shows the trade, the risk, and the reason it qualified.

Entry Plan

The signal identifies the price area being watched before entry.

Risk Plan

Stops frame where the setup is invalidated, because performance without risk control is not useful.

Targets

Profit-taking levels provide a structured way to think about reward before the trade is live.

Trade Thesis

The reason a setup qualified is included with the alert.

Important Disclosure

Past performance does not guarantee future results.

SwiftSignals is an educational and informational service only. It does not provide personalized financial advice. Trading involves risk, losses are possible, and past performance does not guarantee future results. Users remain fully responsible for their own execution and position sizing.

Inspect The Results, Then Decide On Premium

Review the methodology, inspect the published results, and decide whether SwiftSignals is right for you.