BTC Mode — 92.6% Win Rate · $1,000 → $2,121.27 in 24 Months

Symbol universe

16 Binance Futures perpetual pairs across two categories, all evaluated with the same fixed $50 trade size. Risk-control parameters are handled internally and not published.

Large-cap pairs

Major crypto perpetual pairs.

BTCUSDT ETHUSDT BNBUSDT SOLUSDT XRPUSDT DOGEUSDT AVAXUSDT LINKUSDT DOTUSDT

Small-cap pairs

Small-cap and meme perpetual pairs.

1000PEPEUSDT 1000LUNCUSDT 1000SHIBUSDT 1000FLOKIUSDT 1000SATSUSDT 1000BONKUSDT 1000RATSUSDT

Backtest results

16 Binance Futures perpetual pairs under the same fixed trade size. Filter by category; click any row for full details and equity curve.

Symbol	Category	Trades	Win %	Window	Total P&L
BTCUSDT	Large-cap	7	85.7%	—	+$3.91
1000PEPEUSDT	Small-cap	87	95.4%	—	+$131.13
1000LUNCUSDT	Small-cap	40	90.0%	—	+$69.93
1000SHIBUSDT	Small-cap	50	96.0%	—	+$59.36
1000FLOKIUSDT	Small-cap	76	89.5%	—	+$75.21
1000SATSUSDT	Small-cap	77	92.2%	—	+$112.64
1000BONKUSDT	Small-cap	73	90.4%	—	+$96.74
1000RATSUSDT	Small-cap	100	90.0%	—	+$132.35
ETHUSDT	Large-cap	34	97.1%	—	+$45.30
BNBUSDT	Large-cap	15	93.3%	—	+$15.81
SOLUSDT	Large-cap	38	94.7%	—	+$49.96
XRPUSDT	Large-cap	36	97.2%	—	+$56.87
DOGEUSDT	Large-cap	45	95.6%	—	+$57.58
AVAXUSDT	Large-cap	63	92.1%	—	+$81.54
LINKUSDT	Large-cap	46	93.5%	—	+$74.78
DOTUSDT	Large-cap	41	90.2%	—	+$58.16

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Headline Trades, Win % and Total P&L reflect the latest published fixed-size backtest summary. Window shows what's currently in the per-symbol export pipeline — windows vary as the backtester is re-run incrementally; the modal opened by clicking a row shows the exact current data for that symbol. Risk-control parameters are not published. Em-dash means no per-symbol data yet (pending refresh).

Cross-category consistency. Large-cap win rates range 85.7–97.2% (median 93.5%). Small-cap win rates range 89.5–96.0% (median 90.4%). Per-trade returns track the same way — the signal behaves consistently across both categories rather than relying on one cohort to carry the result.

Caveats

These numbers are backtest results, not live trading. Read this section before drawing conclusions.

The backtester uses the bar close as the fill price. Real market orders fill intra-bar, 1–5 ticks worse on fast-moving alts. Expect live performance ~10–20% worse than backtest.
Exit behavior is simulated from bar-close data. Live orders can update and fill intra-candle through the live execution path, so individual exits may differ from this approximation.
No slippage modeled. No funding rate modeled (perpetual futures pay/receive funding every 8 hours).
Transaction fees applied as a flat percentage per side. Real Binance Futures fees vary by VIP tier and maker/taker.
Single-symbol simulation. Cross-symbol position management and the per-account daily-loss cap are not modeled.
The 24-month window straddles 2023–2024, a generally bullish market regime with large swings. A 2022-style sustained bear market is not in the dataset.
The 93%+ win rate is partly an artifact of strict entry criteria — the system intentionally sits out most of the market. Real trade frequency is roughly one entry every 2–3 days across the full symbol universe.
This is not financial advice. Crypto futures involve substantial risk of loss. Past performance does not guarantee future results.

Disclaimer

BTC Mode is an experimental research project. This page is a public backtest and status summary for a systematic trading experiment. It is not financial advice, investment advice, or a recommendation to buy, sell, or trade any asset.

Crypto markets were chosen for this experiment because historical and live trade data is accessible, inexpensive to collect, and available 24/7. The mix of large-cap and small-cap crypto pairs gives the project a range of liquidity, volatility, and market-cap behavior that can loosely stand in for the variety found across traditional stocks.

Crypto futures are high-risk instruments. Backtests can be wrong, incomplete, or overly optimistic, and past performance does not imply future results. Anyone trading with real money is responsible for their own research, risk controls, and losses.