We ran simulated live trades using the AlgoZilla Omniscius v6.2 Pythia model for BTC - Bitcoin. The results below give you an overview of the most important Key Performance Indicators, Equity Curve and the Trade Log as simulated by our Pythia model. The returns have been accumulated over the YTD 2026 period. The simulated paper trades of the model show that an initial investment at the start of the period with 130 trades would have compounded to a final value of $10,000 (from a $10,000 base). All results are net of trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). The model uses a 15‑minute delay on the signal on both entries and exits to simulate possible slippage when executing orders.
Bitcoin (BTC) is the first and largest cryptocurrency by market capitalization, created in 2009 by the pseudonymous Satoshi Nakamoto. It operates on a decentralized proof-of-work blockchain with a fixed supply of 21 million coins. Bitcoin is widely regarded as digital gold and serves as the benchmark asset for the entire crypto market. Its four-year halving cycles have historically driven major bull markets, making cycle-aware trading models particularly effective for BTC.
Bitcoin (BTC) — year-to-date paper-trade 2026-01-03 → 2026-05-20, single OOS window, model trained on data up to 2025-12-31. Net of trading fees (Bitvavo 0.15% + 0.25%).
A paper trade simulates real signal execution without real money. Each period starts fresh with a clean $10,000 allocation — no carry-over from previous windows. This shows exactly what would have happened if you started following signals on day one of that window. View live BTC signals →
Yes. All results are net of trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). No slippage is applied. Trading via Bitget (0.1%/0.1%) would improve returns.
Paper trades use the same model and signals as the full backtest. The difference: backtests cover years of data across multiple market cycles, while paper trades show month-by-month performance in recent market conditions. Together they provide a complete picture.
Yes. The Omniscius model is retrained bi-weekly, which means paper trade results reflect the exact same model updates that live subscribers receive. This is not a static backtest — it is a living simulation. Learn about Omniscius →
These paper trade results show what our model delivers. Get real-time BTC signals with entry, stop-loss, and take-profit on every trade.
Institutional-grade AI trading signals for crypto traders. Our ensemble models use strict walk-forward validation across multiple Bitcoin halving cycles. No curve-fitting, no hype — just data-driven signals delivered to your Telegram. Methodology and changelog are public on our About page.
Prices delayed up to 5 minutes. Trading and investing involve significant risk of loss. All content on this site is for informational purposes only and does not constitute financial advice. Decisions to buy, sell, or hold are best made with the advice of qualified financial professionals. Past performance does not guarantee future results.
Hypothetical or simulated performance results have inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Since the trades have not been executed, the results may have under- or over-compensated for the impact of certain market factors, including lack of liquidity. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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