Logo "Temporal_Volatility_Alpha_forPropFirm"
cBot
Versi 1.0, Jan 2026
Windows, Mac, Mobile, Web
4.0
Ulasan: 2
1
Pembelian
2
Faktor laba
8%
Drawdown maks
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
Gambar unggahan "Temporal_Volatility_Alpha_forPropFirm"
10M
Volume trading
10.64K
Pip dimenangkan
20
Penjualan
1.03K
Instal gratis

First Five copies will be sold at 44.

later will increase to 78. Developed in Dec 2025

1. Executive Summary

Temporal Volatility Alpha is a quantitative mean-reversion algorithm designed to capture short-term inefficiencies in the EURUSD pair. The strategy operates on the core premise that price deviations beyond statistical norms (defined by volatility envelopes) present high-probability reversal opportunities, provided they occur during specific high-liquidity time windows.

2. Operational Logic & Methodology

The algorithm utilizes a multi-layered filtering process to isolate high-quality entries:

  • Temporal Gating (Time Filters): Trading is strictly confined to high-volume market overlaps (e.g., London/New York sessions). This "time-segmentation" filters out low-liquidity noise and unpredictable spread widening during off-hours.
  • Volatility Reversion: Entries are triggered based on standard deviation extremes (24-period Bollinger Bands, 2 Deviation). The system identifies overbought/oversold conditions where price is statistically likely to revert to the mean.
  • Momentum Confirmation: An RSI (Relative Strength Index) filter prevents trading against strong impulsive trends, ensuring entries are taken only when momentum is waning.

3. Risk Management Architecture

The system prioritizes capital preservation through a rigid risk framework:

  • Positive Expectancy: The strategy utilizes a fixed 1:2 Risk-to-Reward Ratio (Stop Loss: ~25 pips / Take Profit: ~50 pips). This ensures the algorithm remains profitable even with a win rate as low as 35%.
  • Active Trade Defense: A Volatility-Adjusted Trailing Stop is activated immediately after the position moves 9 pips into profit. This "Breakeven Defense" mechanism rapidly eliminates risk, securing "free trades" and protecting floating equity.

4. Performance Metrics (Challenge Phase)

During the evaluation phase spanning 7 months, the strategy demonstrated exceptional statistical robustness:

  • Net ROI: The strategy achieved a total Net ROI of 73%, significantly outperforming the standard profit targets required for funding.
  • Profit Factor: The algorithm maintained a high Profit Factor of 3, demonstrating that for every $1 of realized risk, the system generated $4 in gross profit.
  • Win Rate & Consistency: The system sustained a 69% Win Rate (56 winning deals out of 81). When paired with the strategy's fixed 1:2 Risk-to-Reward ratio, this high strike rate produced a highly stable and parabolic equity curve with minimal stagnation.

5. Advanced Risk Ratios

  • Sharpe Ratio (> 3): Indicates an "Excellent" risk-adjusted return, confirming the strategy generates high profits with extremely low volatility.
  • Calmar Ratio (> 5): With an annualized pace of ~120% and a maximum drawdown estimated below 5%, this ratio proves the strategy is highly resistant to deep losses.
  • Sortino Ratio (> 4): Confirming that "downside volatility" is virtually non-existent; the risk of a significant losing streak is statistically insignificant.

The strategy has successfully pass prop firm challenge.

Profil trading
4.0
Ulasan: 2
5
50 %
4
0 %
3
50 %
2
0 %
1
0 %
Ulasan pelanggan
March 26, 2026
So far, optimization and execution are very promising. Low-frequency trades combined with a lot of patience give this strategy a real edge, which I am willing to test long-term. After a couple of weeks, only one trade has fired, but it was a successful one. So far, I am happy with this bot.
March 9, 2026
The strategy presents a clean mean-reversion concept using Bollinger Bands, RSI filtering and time-segmented trading windows. However the long-term backtest shows negative performance and optimization logs reveal extremely unrealistic stop-loss values, suggesting a potential parameter overflow or optimization bug. The strategy concept is sound but the current implementation appears unstable.
Indices
EURUSD
RSI
Bollinger
Produk-produk yang tersedia melalui cTrader Store, termasuk bot trading, indikator, dan plugin, disediakan oleh pengembang pihak ketiga serta hanya ditujukan untuk akses teknis dan informasi. cTrader Store bukan broker dan tidak menyediakan saran investasi, rekomendasi pribadi, atau jaminan apa pun tentang kinerja di masa mendatang.

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