Sector Champions
Trades Own Strategy BrokerTransmit
- hypothetical · Cumul. Return
- -3.7%
- Max Drawdown
- 5.8%
- Trades
- 33
- Win Trades
- 48.5%
- Profit Factor
- 0.70
- Win Months
- 0.0%
About this strategy
Sector Champions follows a barbell approach combining tech innovation with the physical real economy.
The offensive side holds leaders of digital transformation: AI, semiconductors, cloud computing and cybersecurity — companies that in my view deliver the computing power of the future.
The counterweight is the real economy: without hardware no data centres, without grid expansion no energy transition. Focus on electrification, data infrastructure and automation, plus commodity producers (copper, rare earths).
Strategic positions in utilities and energy round it off, benefiting from rising electricity demand and offering inflation protection.
The multi-factor approach combines top-down filters (economy, geopolitics) with bottom-up selection (P/E, ROE, equity ratio). Timing follows technical criteria; weighting uses the Markowitz model to minimise risk.
The offensive side holds leaders of digital transformation: AI, semiconductors, cloud computing and cybersecurity — companies that in my view deliver the computing power of the future.
The counterweight is the real economy: without hardware no data centres, without grid expansion no energy transition. Focus on electrification, data infrastructure and automation, plus commodity producers (copper, rare earths).
Strategic positions in utilities and energy round it off, benefiting from rising electricity demand and offering inflation protection.
The multi-factor approach combines top-down filters (economy, geopolitics) with bottom-up selection (P/E, ROE, equity ratio). Timing follows technical criteria; weighting uses the Markowitz model to minimise risk.
Non-hedged Equity
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -2.5 | -1.2 | -3.7 |
Statistics
Overview
| Strategy began | 8/11/2026 |
|---|---|
| Suggested Minimum Capital | $15,000 |
| Age | 37 days |
| C2 Rank | 936 |
| Rank at C2 % | Top 6.4% |
| Rank # | #246 |
| What it trades | Stocks |
| # Trades | 33 |
| # Profitable | 16 |
| % Profitable | 48.5% |
| Avg trade duration | 35.6 days |
| Max peak-to-valley drawdown | 5.8% |
| drawdown period | Aug 14, 2026 - Sept 14, 2026 |
| Cumul. Return | -3.7% |
| Avg win | $16 |
| Avg loss | $21 |
Ratios
| W:L ratio | 0.72 |
|---|---|
| Sharpe Ratio | — |
| Sortino Ratio | — |
| Calmar Ratio | — |
CORRELATION STATISTICS
| Return Percent SP500 (cumu) during strategy life | -1.2% |
|---|---|
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -2.3% |
Return Statistics
| Ann Return (w trading costs) | -28.5% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | -9.1% |
Slump
| Current Slump as Pcnt Equity | 2.9% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.9% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.0% |
| Short Options - Percent Covered | 100.0% |
| Percent Trades Stocks | 1.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 0.0% |
|---|---|
| Chance of 20% account loss | 0.0% |
| Chance of 30% account loss | 0.0% |
| Chance of 40% account loss | 0.0% |
| Chance of 50% account loss | 0.0% |
| Chance of 60% account loss (Monte Carlo) | 0.0% |
| Chance of 70% account loss (Monte Carlo) | 0.0% |
| Chance of 80% account loss (Monte Carlo) | 0.0% |
| Chance of 90% account loss (Monte Carlo) | 0.0% |
Automation
| Percentage Signals Automated | 0.0% |
|---|
Popularity
| Popularity (Today) | 0 |
|---|---|
| Popularity (Last 6 weeks) | 0 |
| C2 Score | 936 |
| Popularity (7 days, Percentile 1000 scale) | 0 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 187657 |
|---|---|
| TOS percent | 100.0% |
Win / Loss
| Avg Loss | $21 |
|---|---|
| Avg Win | $16 |
| # Winners | 16 |
| Sum Trade PL (losers) | $356 |
| Sum Trade PL (winners) | $256 |
| Num Months Winners | 0 |
| # Losers | 17 |
| % Winners | 48.5% |
Dividends
| Dividends Received in Model Acct | 1 |
|---|
Age
| Num Months filled monthly returns table | 2 |
|---|
Frequency
| Avg Position Time (mins) | 51312.62 |
|---|---|
| Avg Position Time (hrs) | 855.21 |
| Avg Trade Length | 35.60 |
| Last Trade Ago | 30 |
Leverage
| Daily leverage (average) | 0.76 |
|---|---|
| Daily leverage (max) | 0.82 |
Maximum Adverse Excursion (MAE)
| Hold-and-Hope Ratio | -0.20 |
|---|
DRAW DOWN STATISTICS
| Strat Max DD how much worse than SP500 max DD during strat life? | -409465536 |
|---|---|
| Max Equity Drawdown (num days) | 31 |
| Last 4 Months - Pcnt Negative | 0.5% |
Past results are not necessarily indicative of future results.
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.