NFPNFPNFPrompt$0.00748000-2.98%
24h High$0.01
24h Low$0.01
Volume$456,858
Updated14:28 UTC
Modelv6.2 Pythia
Paper Trades / NFP / NFP — NFPrompt YTD 2026 (v6.2 (Pythia))
CURRENT · PYTHIA v6.2

NFP NFPrompt Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v6.2 Pythia model for NFP - NFPrompt. 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 227 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.

v6.2 (Pythia) 227 Trades Imported
Walk-forward validated Net of fees (0.15% / 0.25%)

NFPrompt (NFP) is a Web3 platform where users create and trade AI-generated NFT content using prompt-engineering tools. The token rewards prompt creators and curators. Listed late-2023 on Binance Launchpool, NFP rides AI + NFT narrative cycles.

NFP — NFPrompt YTD 2026 (v6.2 (Pythia)) Performancev6.2 Pythia

NFPrompt (NFP) — 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%).

Sharpe
0.00
Alpha vs B&H
+103.97pp
Risk / Reward
0.00×
B&H Return
-59.64%
Max Drawdown
-12.27%
Avg Drawdown
0.00%
Wins / Losses
0W / 0L
Model
v6.2 (Pythia)
Full Backtest

Frequently Asked Questions

What is a paper trade?

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 NFP signals →

Are trading fees included?

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.

How does this relate to the backtest?

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.

Is the model retrained during the month?

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 →

Start Trading NFPrompt Smarter

These paper trade results show what our model delivers. Get real-time NFP signals with entry, stop-loss, and take-profit on every trade.

41.9% Win Rate +44.3% Return -12.3% Max Drawdown Net of Fees