Paper Trades / TRX / TRX — August 2025 (v4.0.1 Pythia)
CURRENT · OMNISCIUS v4.0.1 · PYTHIA

TRX TRON Paper Trade

TRX — August 2025 (v4.0.1 Pythia) — Simulated live trading results using the v4.0.1 Pythia model.

v4.0.1 Pythia 13 Trades Completed
Walk-forward validated Backtest = Live (bit-identical) Net of fees (0.15% / 0.25%) Forward-look-bias audited

TRON (TRX) is a blockchain platform focused on decentralized content sharing and has become a major network for USDT stablecoin transfers, particularly in Asia. With consistently high transaction volumes and a deflationary token mechanism, TRX shows steady price patterns with periodic momentum bursts. Its relative stability compared to other altcoins makes it suitable for systematic trading strategies.

TRX — August 2025 (v4.0.1 Pythia) Performancev4.2 Theros

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

Sharpe
11.31
Alpha vs B&H
+16.70pp
Risk / Reward
99+×
B&H Return
+5.24%
Max Drawdown
-0.17%
Avg Drawdown
-1.21%
Sharpe Trend
-5.44
Model
v4.0.1 Pythia
Full Backtest

Side-by-side: model versions

Same coin, same period, same data window — different model. All walk-forward validated. v4.0.1 (Pythia) is the current production model; v4.0 (Itzamná) confirmed the statistical edge across 46 coins; v2.5 is the legacy baseline.

v4.0.1 PYTHIA THIS PAGE
Return
+21.93%
Win Rate
84.6%
Sharpe
11.31
Alpha vs B&H
+16.70pp
Max DD
-0.17%
Avg DD
-1.21%
Risk / Reward
99+×
Trades
13
V2.5.8.3
Return
+7.47%
▲ +14.46
Win Rate
65.2%
▲ +19.42
Sharpe
0.00
▲ +11.31
Alpha vs B&H
+0.00pp
▲ +16.70
Max DD
-1.74%
▲ +1.57
Avg DD
0.00%
▼ -1.21
Risk / Reward
0.00×
Trades
23
Open page →

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

TRX

TRX Monthly Returns (v4.0.1 Pythia)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Σ
2025 +43.5%
14t
+29.3%
14t
+30.7%
13t
+26.7%
12t
+30.0%
14t
+12.9%
13t
+24.9%
15t
+21.9%
13t
+586.3%

All months for TRX under this model. Click a cell to drill into that month's trade log. Color intensity = magnitude.

Day-by-day — TRX — August 2025 (v4.0.1 Pythia) — compounded daily PnL within this period

Mon
Tue
Wed
Thu
Fri
Sat
Sun
1
2
3
4
5
+3.0
6
7
+2.9
8
-0.2
9
10
+0.6
11
12
13
14
+5.8
15
16
17
+1.1
18
19
+0.9
20
21
+1.4
22
23
+3.0
24
25
26
+2.4
27
28
+0.4
29
30
-0.2
31
+0.4
Smart Insights
  • Solid return: +21.9%, comfortably above passive hold for most months.
  • High win rate: 84.6% — 4 in 5 trades close in profit.
  • Tight risk control: max drawdown only -0.2%.
  • Strongest regime: BULL — avg +1.94% on 8 trades, WR 88%.

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 8 87.5% +1.94% +16.47% 1.4d
SIDEWAYS 5 80.0% +1.20% +6.13% 18h

Trade Logv4.2 Theros

All 13 trades executed during this paper trade period.

EntryExitEntry PriceExit PricePnLRegimeDuration
$0.00 $0.00 +3.04% BULL 2d
$0.00 $0.00 +2.85% BULL 2.2d
$0.00 $0.00 -0.17% BULL 14h
$0.00 $0.00 +0.65% BULL 23h
$0.00 $0.00 +5.76% BULL 2.7d
$0.00 $0.00 +1.05% BULL 16h
$0.00 $0.00 +0.92% BULL 1.5d
$0.00 $0.00 +1.41% BULL 19h
$0.00 $0.00 +3.03% SIDEWAYS 1.3d
$0.00 $0.00 +2.35% SIDEWAYS 20h
$0.00 $0.00 +0.43% SIDEWAYS 9h
$0.00 $0.00 -0.17% SIDEWAYS 16h
$0.00 $0.00 +0.38% SIDEWAYS 12h

Frequently Asked Questions

What is a paper trade?

A paper trade simulates real signal execution without real money. Each month starts fresh with a clean €10,000 allocation — no carry-over from previous months. This shows exactly what would have happened if you started following signals on day one of that month. View live TRX 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 TRON Smarter

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

84.6% Win Rate +21.9% Return -0.2% Max Drawdown Net of Fees