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 — May 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 May 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 17 trades would have compounded to a final value of $15,808 (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 • 17 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.

Performance Price & Trades Trade Stats Day Grid Regimes Trade Log FAQ XLM Signals →

XLM — May 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%).

Monthly Return
+58.1%
$10,000 →
$15,808
Win Rate
94.1%
16W / 1L
Trades
17
Sharpe
13.59
Alpha vs B&H
+59.91pp
Risk / Reward
31.56×
B&H Return
-1.83%
Max Drawdown
-1.84%
Avg Drawdown
-3.27%
Sharpe Trend
-5.73
Model
v4.2 Theros
Full Backtest
View →

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
+52.04%
▲ +6.04
Win Rate
83.3%
▲ +10.79
Sharpe
13.29
▲ +0.30
Alpha vs B&H
+53.88pp
▲ +6.03
Max DD
-1.78%
▼ -0.06
Avg DD
-2.85%
▼ -0.42
Risk / Reward
29.19×
Trades
12
Open v4.0.1 page →
v4.0 ITZAMNÁ
Return
+47.61%
▲ +10.47
Win Rate
90.0%
▲ +4.12
Sharpe
0.00
▲ +13.59
Alpha vs B&H
+0.00pp
▲ +59.91
Max DD
-3.54%
▲ +1.70
Avg DD
0.00%
▼ -3.27
Risk / Reward
0.00×
Trades
10
Open v4.0 page →
V4.2 THEROS THIS PAGE
Return
+58.08%
Win Rate
94.1%
Sharpe
13.59
Alpha vs B&H
+59.91pp
Max DD
-1.84%
Avg DD
-3.27%
Risk / Reward
31.56×
Trades
17

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 — May 2025 (v4.2 Theros) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
—
2
—
3
—
4
—
5
—
6
—
7
+1.3
8
—
9
+16.6
10
+3.0
11
+1.2
12
+6.9
13
+4.2
14
—
15
+0.3
16
—
17
—
18
+5.2
19
—
20
—
21
+4.0
22
+4.6
23
—
24
+0.8
25
+2.3
26
+0.5
27
—
28
—
29
+0.9
30
—
31
-1.8

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 17-trade log of this period.

Avg Win
+3.24%
Avg Loss
-1.84%
Best Trade
+16.63%
Worst Trade
-1.84%
Avg Bars Held
15.9h
Exit-reason mix (hover badges for details)
Forward-pred: 10 (59%) Signal flip: 5 (29%) Short signal: 2 (12%)
Smart Insights
  • ↑ Exceptional return: +58.1% — compound across the full walk-forward window.
  • ↑ High win rate: 94.1% — 4 in 5 trades close in profit.
  • ↑ Tight risk control: max drawdown only -1.8%.
  • ↑ Strongest regime: BULL — avg +4.79% on 7 trades, WR 100%.

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
BULL 7 100.0% +4.79% +37.59% 19h
BUBBLE 10 90.0% +1.65% +17.55% 14h

Trade Logv4.2 Theros

All 17 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
06 May 2025 01:00 07 May 2025 11:00 $0.26 $0.26 +1.25% BULL 1.5d
08 May 2025 00:00 09 May 2025 10:00 $0.26 $0.30 +16.63% BULL 1.5d
09 May 2025 23:00 10 May 2025 09:00 $0.29 $0.30 +3.01% BULL 11h
10 May 2025 22:00 11 May 2025 04:00 $0.31 $0.31 +1.23% BULL 7h
11 May 2025 17:00 12 May 2025 12:00 $0.31 $0.33 +6.90% BULL 20h
13 May 2025 02:00 13 May 2025 20:00 $0.30 $0.32 +4.17% BULL 19h
15 May 2025 15:00 15 May 2025 21:00 $0.29 $0.29 +0.34% BULL 7h
18 May 2025 02:00 18 May 2025 14:00 $0.29 $0.30 +2.05% BUBBLE 13h
18 May 2025 20:00 18 May 2025 23:00 $0.28 $0.29 +3.12% BUBBLE 4h
19 May 2025 06:00 21 May 2025 16:00 $0.28 $0.30 +4.02% BUBBLE 2.5d
21 May 2025 18:00 22 May 2025 18:00 $0.29 $0.30 +4.58% BUBBLE 1d
24 May 2025 01:00 24 May 2025 07:00 $0.29 $0.29 +0.84% BUBBLE 7h
25 May 2025 16:00 25 May 2025 22:00 $0.28 $0.29 +2.33% BUBBLE 7h
26 May 2025 00:00 26 May 2025 01:00 $0.29 $0.29 +0.01% BUBBLE 2h
26 May 2025 04:00 26 May 2025 07:00 $0.29 $0.29 +0.46% BUBBLE 4h
28 May 2025 16:00 29 May 2025 01:00 $0.28 $0.29 +0.90% BUBBLE 10h
31 May 2025 02:00 31 May 2025 07:00 $0.26 $0.26 -1.84% BUBBLE 6h

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.

Get Started → XLM Signals → View Plans →
94.1% Win Rate +58.1% Return -1.8% Max Drawdown Net of Fees