We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for LTC - Litecoin. 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 March 2026 period. The simulated paper trades of the model show that an initial investment at the start of the period with 20 trades would have compounded to a final value of $14,316 (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.
Litecoin (LTC) was created in 2011 by Charlie Lee as a lighter, faster alternative to Bitcoin. With 2.5-minute block times and a supply cap of 84 million, LTC has maintained its position as one of the oldest and most liquid altcoins. Litecoin often leads Bitcoin in halving-cycle price movements and has shown reliable mean-reversion patterns, making it well-suited for systematic trading strategies.
Litecoin (LTC) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).
1H candles for LTC over the test window with every entry (▲ green up-arrow) and exit (▼ green = profitable, ▼ red = loss). Hover a marker for trade details.
Aggregates derived from the full 20-trade log of this period.
How the model performs across the 4 market regimes detected by Omniscius.
| Regime | Trades | Win Rate | Avg PnL | Compounded Return | Avg Hold |
|---|---|---|---|---|---|
| BEAR | 17 | 94.1% | +1.97% | +38.94% | 21h |
| SIDEWAYS | 3 | 100.0% | +1.26% | +3.81% | 16h |
All 20 trades executed during this paper trade period.
| Entry | Exit | Entry Price | Exit Price | PnL | Regime | Duration |
|---|---|---|---|---|---|---|
| 01 Mar 2026 20:00 | 03 Mar 2026 03:00 | $52.85 | $54.33 | +2.26% | BEAR | 1.3d |
| 03 Mar 2026 05:00 | 04 Mar 2026 19:00 | $54.19 | $57.57 | +6.07% | BEAR | 1.6d |
| 06 Mar 2026 18:00 | 06 Mar 2026 22:00 | $53.66 | $54.04 | +0.55% | BEAR | 5h |
| 07 Mar 2026 07:00 | 07 Mar 2026 09:00 | $53.58 | $54.03 | +0.71% | BEAR | 3h |
| 08 Mar 2026 17:00 | 10 Mar 2026 14:00 | $52.59 | $54.89 | +4.24% | BEAR | 1.9d |
| 10 Mar 2026 19:00 | 12 Mar 2026 01:00 | $53.85 | $54.65 | +1.38% | BEAR | 1.3d |
| 12 Mar 2026 03:00 | 13 Mar 2026 12:00 | $54.25 | $56.25 | +3.58% | BEAR | 1.4d |
| 13 Mar 2026 23:00 | 14 Mar 2026 02:00 | $55.23 | $55.59 | +0.55% | BEAR | 4h |
| 15 Mar 2026 02:00 | 16 Mar 2026 19:00 | $55.15 | $58.43 | +5.51% | BEAR | 1.8d |
| 17 Mar 2026 13:00 | 17 Mar 2026 15:00 | $57.50 | $58.07 | +0.83% | BEAR | 3h |
| 18 Mar 2026 17:00 | 19 Mar 2026 00:00 | $55.53 | $55.82 | +0.36% | SIDEWAYS | 8h |
| 19 Mar 2026 08:00 | 19 Mar 2026 10:00 | $55.12 | $55.41 | +0.40% | SIDEWAYS | 3h |
| 19 Mar 2026 13:00 | 21 Mar 2026 00:00 | $54.68 | $56.41 | +3.03% | SIDEWAYS | 1.5d |
| 22 Mar 2026 13:00 | 24 Mar 2026 13:00 | $54.28 | $55.51 | +2.12% | BEAR | 2d |
| 24 Mar 2026 15:00 | 25 Mar 2026 13:00 | $55.62 | $56.61 | +1.68% | BEAR | 23h |
| 25 Mar 2026 16:00 | 25 Mar 2026 22:00 | $56.10 | $56.67 | +0.92% | BEAR | 7h |
| 26 Mar 2026 20:00 | 26 Mar 2026 22:00 | $54.76 | $54.76 | -0.10% | BEAR | 3h |
| 27 Mar 2026 11:00 | 27 Mar 2026 14:00 | $53.84 | $54.06 | +0.31% | BEAR | 4h |
| 28 Mar 2026 01:00 | 28 Mar 2026 13:00 | $53.45 | $54.61 | +2.07% | BEAR | 13h |
| 29 Mar 2026 23:00 | 30 Mar 2026 09:00 | $53.26 | $53.90 | +0.79% | BEAR | 11h |
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 LTC 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 LTC 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.
Some links on this site are affiliate links. AlgoZilla may earn a commission at no extra cost to you. This does not affect signal quality. Please read our full disclaimer · Terms · Privacy
© 2026 AlgoZilla.io — All rights reserved