XLMXLMStellar$0.212600-3.93%
24h High$0.22
24h Low$0.21
Volume$15.8M
Updated18:08 UTC
Modelv6.2 Pythia
Paper Trades / XLM / XLM — April 2025 (v4.2 Theros)
LEGACY · v4.2 Theros

XLM Stellar Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for XLM - Stellar. 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 April 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 22 trades would have compounded to a final value of $16,986 (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.

v4.2 Theros 22 Trades Completed
Walk-forward validated Net of fees (0.15% / 0.25%)

Stellar (XLM) is an open-source network for cross-border payments and asset tokenization, originally forked from Ripple. With partnerships including MoneyGram and various central banks exploring CBDCs, XLM price responds to payments industry developments. Its lower volatility compared to other altcoins provides steadier trading patterns with reliable mean-reversion characteristics.

XLM — April 2025 (v4.2 Theros) Performancev4.2 Theros

Stellar (XLM) — clean monthly entry, no carry-over from previous months. Net of trading fees (Bitvavo 0.15% + 0.25%).

Sharpe
14.02
Alpha vs B&H
+63.04pp
Risk / Reward
10.92×
B&H Return
+6.82%
Max Drawdown
-6.40%
Avg Drawdown
-7.13%
Sharpe Trend
+11.24
Model
v4.2 Theros
Full Backtest

Side-by-side: model versions

Same coin, same period, same data window — different model. All walk-forward validated. v5.0 (Kairos) is the current production model (live since 11 May 2026); v4.2 (Theros) was the predecessor; v4.0.1 (Pythia) and v4.0 (Itzamná) confirmed the statistical edge during 2025; v2.5 is the legacy baseline.

v4.0.1 PYTHIA
Return
+52.93%
▲ +16.93
Win Rate
92.3%
▼ -24.13
Sharpe
14.27
▼ -0.24
Alpha vs B&H
+46.11pp
▲ +16.93
Max DD
-6.40%
Avg DD
-4.62%
▼ -2.51
Risk / Reward
8.27×
Trades
13
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+43.04%
▲ +26.82
Win Rate
87.5%
▼ -19.32
Sharpe
0.00
▲ +14.02
Alpha vs B&H
+0.00pp
▲ +63.04
Max DD
-6.96%
▲ +0.56
Avg DD
0.00%
▼ -7.13
Risk / Reward
0.00×
Trades
13
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+69.86%
Win Rate
68.2%
Sharpe
14.02
Alpha vs B&H
+63.04pp
Max DD
-6.40%
Avg DD
-7.13%
Risk / Reward
10.92×
Trades
22

Δ-arrows on the counterpart cards show this page minus that version. Higher return / WR = better; smaller (less negative) Max DD = better.

Day-by-day — XLM — April 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
6
7
+4.7
8
-2.1
9
+12.1
10
-3.1
11
+3.9
12
+3.4
13
14
+4.3
15
16
17
18
+3.5
19
+1.4
20
21
+5.5
22
23
+8.4
24
+6.5
25
+2.7
26
+2.1
27
28
+2.1
29
30

Price & trade markersv4.2 Theros

1H candles for XLM over the test window with every entry (▲ green up-arrow) and exit (▼ green = profitable, ▼ red = loss). Hover a marker for trade details.

Loading 1H candles…
Entry Profit exit Loss exit Powered by TradingView Lightweight Charts

Trade statisticsv4.2 Theros

Aggregates derived from the full 22-trade log of this period.

Avg Win
+4.63%
Avg Loss
-1.88%
Best Trade
+12.40%
Worst Trade
-6.40%
Avg Bars Held
14.0h
Exit-reason mix (hover badges for details)
Forward-pred: 13 (59%) Signal flip: 6 (27%) Short signal: 2 (9%) Stop-loss: 1 (5%)
Smart Insights
  • Exceptional return: +69.9% — compound across the full walk-forward window.
  • Healthy win rate: 68.2%.
  • Strongest regime: SIDEWAYS — avg +2.60% on 20 trades, WR 65%.

Per-regime Breakdownv4.2 Theros

How the model performs across the 4 market regimes detected by Omniscius.

Regime Trades Win Rate Avg PnL Compounded Return Avg Hold
SIDEWAYS 20 65.0% +2.60% +64.13% 15h
BULL 2 100.0% +2.09% +4.22% 8h

Trade Logv4.2 Theros

All 22 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
07 Apr 2025 01:00 07 Apr 2025 04:00 $0.23 $0.21 -6.40% SIDEWAYS 4h
07 Apr 2025 06:00 07 Apr 2025 14:00 $0.21 $0.23 +9.11% SIDEWAYS 9h
07 Apr 2025 16:00 07 Apr 2025 20:00 $0.23 $0.24 +2.55% SIDEWAYS 5h
07 Apr 2025 22:00 08 Apr 2025 01:00 $0.24 $0.24 -0.20% SIDEWAYS 4h
08 Apr 2025 04:00 08 Apr 2025 10:00 $0.23 $0.23 -1.86% SIDEWAYS 7h
09 Apr 2025 01:00 09 Apr 2025 17:00 $0.22 $0.24 +12.40% SIDEWAYS 17h
09 Apr 2025 19:00 09 Apr 2025 20:00 $0.24 $0.24 -0.25% SIDEWAYS 2h
09 Apr 2025 22:00 10 Apr 2025 01:00 $0.24 $0.24 -3.07% SIDEWAYS 4h
10 Apr 2025 17:00 11 Apr 2025 08:00 $0.23 $0.24 +3.90% SIDEWAYS 16h
11 Apr 2025 10:00 12 Apr 2025 21:00 $0.24 $0.25 +3.43% SIDEWAYS 1.5d
13 Apr 2025 22:00 14 Apr 2025 10:00 $0.24 $0.25 +3.97% SIDEWAYS 13h
14 Apr 2025 16:00 14 Apr 2025 18:00 $0.24 $0.24 +0.30% SIDEWAYS 3h
16 Apr 2025 01:00 18 Apr 2025 12:00 $0.23 $0.24 +3.71% SIDEWAYS 2.5d
18 Apr 2025 16:00 18 Apr 2025 18:00 $0.24 $0.24 -0.16% SIDEWAYS 3h
19 Apr 2025 04:00 19 Apr 2025 20:00 $0.24 $0.25 +1.43% SIDEWAYS 17h
20 Apr 2025 11:00 21 Apr 2025 08:00 $0.24 $0.26 +6.84% SIDEWAYS 22h
21 Apr 2025 19:00 21 Apr 2025 21:00 $0.25 $0.25 -1.23% SIDEWAYS 3h
22 Apr 2025 01:00 23 Apr 2025 08:00 $0.25 $0.27 +8.44% SIDEWAYS 1.3d
24 Apr 2025 03:00 24 Apr 2025 23:00 $0.26 $0.28 +6.45% SIDEWAYS 21h
25 Apr 2025 01:00 25 Apr 2025 14:00 $0.28 $0.29 +2.69% SIDEWAYS 14h
25 Apr 2025 22:00 26 Apr 2025 05:00 $0.28 $0.29 +2.08% SIDEWAYS 8h
28 Apr 2025 02:00 28 Apr 2025 09:00 $0.28 $0.29 +2.10% BULL 8h

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 XLM 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 Stellar Smarter

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

68.2% Win Rate +69.9% Return -6.4% Max Drawdown Net of Fees