RSRRSRReserve Rights$0.00129200-1.30%
24h High$0.00
24h Low$0.00
Volume$330,883
Updated17:58 UTC
Modelv6.2 Pythia
Paper Trades / RSR / RSR — August 2025 (v4.2 Theros)
LEGACY · v4.2 Theros

RSR Reserve Rights Paper Trade

We ran simulated live trades using the AlgoZilla Omniscius v4.2 Theros model for RSR - Reserve Rights. 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 August 2025 period. The simulated paper trades of the model show that an initial investment at the start of the period with 18 trades would have compounded to a final value of $18,909 (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 • 18 Trades • Completed
✓ Walk-forward validated ✓ Net of fees (0.15% / 0.25%)

Reserve Rights (RSR) is the governance and over-collateralization token for the Reserve protocol, which issues asset-backed stablecoins (RTokens). Listed since 2019 with multi-cycle history, RSR price responds to stablecoin-narrative cycles, RToken adoption, and emerging-market currency-debasement themes.

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

RSR — August 2025 (v4.2 Theros) Performancev4.2 Theros

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

Monthly Return
+89.1%
$10,000 →
$18,909
Win Rate
66.7%
12W / 6L
Trades
18
Sharpe
10.66
Alpha vs B&H
+89.45pp
Risk / Reward
36.23×
B&H Return
-0.36%
Max Drawdown
-2.46%
Avg Drawdown
-3.59%
Sharpe Trend
-34.12
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
+95.04%
▼ -5.95
Win Rate
78.6%
▼ -11.90
Sharpe
13.77
▼ -3.11
Alpha vs B&H
+95.40pp
▼ -5.95
Max DD
-0.97%
▼ -1.49
Avg DD
-3.38%
▼ -0.21
Risk / Reward
97.98×
Trades
14
Open v4.0.1 page →
V4.2 THEROS THIS PAGE
Return
+89.09%
Win Rate
66.7%
Sharpe
10.66
Alpha vs B&H
+89.45pp
Max DD
-2.46%
Avg DD
-3.59%
Risk / Reward
36.23×
Trades
18

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

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
—
2
—
3
—
4
+4.8
5
—
6
—
7
—
8
+16.2
9
-0.1
10
—
11
+4.1
12
—
13
+9.9
14
—
15
+0.4
16
—
17
—
18
—
19
—
20
+5.4
21
—
22
+12.5
23
-2.5
24
+4.5
25
-0.2
26
—
27
+3.8
28
+3.2
29
—
30
+0.7
31
-1.2

Price & trade markersv4.2 Theros

1H candles for RSR 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 18-trade log of this period.

Avg Win
+5.53%
Avg Loss
-0.80%
Best Trade
+16.17%
Worst Trade
-2.46%
Avg Bars Held
15.8h
Exit-reason mix (hover badges for details)
Signal flip: 9 (50%) Forward-pred: 6 (33%) Short signal: 3 (17%)
Smart Insights
  • ↑ Exceptional return: +89.1% — compound across the full walk-forward window.
  • ↑ Healthy win rate: 66.7%.
  • ↑ Tight risk control: max drawdown only -2.5%.
  • ↑ Strongest regime: BULL — avg +5.97% on 6 trades, WR 83%.

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 6 83.3% +5.97% +40.42% 1.0d
SIDEWAYS 12 58.3% +2.14% +27.94% 11h

Trade Logv4.2 Theros

All 18 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
03 Aug 2025 02:00 04 Aug 2025 06:00 $0.01 $0.01 +3.59% SIDEWAYS 1.2d
04 Aug 2025 13:00 04 Aug 2025 15:00 $0.01 $0.01 +1.17% SIDEWAYS 3h
05 Aug 2025 20:00 08 Aug 2025 19:00 $0.01 $0.01 +16.17% BULL 3d
09 Aug 2025 08:00 09 Aug 2025 14:00 $0.01 $0.01 -0.13% BULL 7h
10 Aug 2025 18:00 11 Aug 2025 04:00 $0.01 $0.01 +4.11% BULL 11h
12 Aug 2025 11:00 13 Aug 2025 12:00 $0.01 $0.01 +9.89% BULL 1.1d
14 Aug 2025 13:00 15 Aug 2025 03:00 $0.01 $0.01 +0.39% BULL 15h
20 Aug 2025 01:00 20 Aug 2025 17:00 $0.01 $0.01 +5.38% BULL 17h
22 Aug 2025 01:00 22 Aug 2025 21:00 $0.01 $0.01 +12.45% SIDEWAYS 21h
22 Aug 2025 23:00 23 Aug 2025 01:00 $0.01 $0.01 -2.46% SIDEWAYS 3h
24 Aug 2025 07:00 24 Aug 2025 18:00 $0.01 $0.01 +5.09% SIDEWAYS 12h
24 Aug 2025 20:00 24 Aug 2025 22:00 $0.01 $0.01 -0.56% SIDEWAYS 3h
25 Aug 2025 00:00 25 Aug 2025 02:00 $0.01 $0.01 -0.17% SIDEWAYS 3h
25 Aug 2025 21:00 27 Aug 2025 01:00 $0.01 $0.01 +3.84% SIDEWAYS 1.2d
28 Aug 2025 00:00 28 Aug 2025 14:00 $0.01 $0.01 +3.56% SIDEWAYS 15h
28 Aug 2025 16:00 28 Aug 2025 22:00 $0.01 $0.01 -0.31% SIDEWAYS 7h
30 Aug 2025 01:00 30 Aug 2025 09:00 $0.01 $0.01 +0.71% SIDEWAYS 9h
31 Aug 2025 20:00 31 Aug 2025 22:00 $0.01 $0.01 -1.18% SIDEWAYS 3h

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 RSR 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 Reserve Rights Smarter

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

Get Started → RSR Signals → View Plans →
66.7% Win Rate +89.1% Return -2.5% Max Drawdown Net of Fees