Logo "WTI HEDGE QUANT HFT"
cBot
Diuji pada FP Markets
Versi 2.0, Mar 2026
Windows, Mac, Mobile, Web
8.4%
ROI
1.12
Faktor keuntungan
33.94%
Susutan maksimum
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
Imej yang dimuat naik "WTI HEDGE QUANT HFT"
20
Jualan
247
Pemasangan percuma

The WTI Adaptive Flow Strategy is a sophisticated algorithmic trading solution designed specifically for WTI Crude Oil on the 20-minute (m20) timeframe. It combines multiple quantitative techniques—including Kalman filtering, Volume Profile analysis, Order Flow Imbalance (OFI), and adaptive risk management—to identify high-probability trading opportunities in volatile energy markets.

Execution Logic

  • Flexible order types: Market, Limit, or Stop orders with configurable offsets
  • Session-aware trading: Operates only between user-defined hours (default: 12:00–19:00 server time)
  • Spread protection: Skips entries when spread exceeds maximum threshold
  • Order expiry management to prevent stale pending orders

Risk & Money Management

  • Position Sizing: Fixed lots with configurable maximum exposure per position and total open positions
  • Daily Loss Limit: Automatic trading halt if daily loss exceeds user-defined percentage
  • Multi-Layered Exit Strategy:
    • Initial Stop Loss & Take Profit (ATR-based or fixed pips)
    • Trailing Stop with ATR multiplier and step logic
    • Break-even activation after predefined profit threshold
    • Stop-loss trigger and trailing step refinement for dynamic protection
  • Signal Generation
  • Adaptive Trend Filtering: Utilizes proprietary noise-reduction technology to dynamically adjust to market volatility, ensuring smoother trend identification and reducing false positives during choppy conditions.
  • Institutional Level Detection: Analyzes historical price distribution to automatically pinpoint high-value zones where significant market activity and liquidity are concentrated.
  • Composite Signal Engine: Combines multiple market dynamics—including momentum, flow analysis, and mean reversion logic—to confirm high-probability setups before execution.

Volatility Adjustment: Automatically adjusts sensitivity during extreme market deviations to prevent entries during unstable or low-liquidity periods, enhancing overall signal quality.

✅ Recommended Setup

  • Symbol: WTI (Crude Oil), Brent
  • Timeframe: 20 minutes (m20) and 6 minutes (m6)
  • Account Type: ECN/RAW spread accounts recommended
  • Minimum Balance: Sufficient to support max position size with required margin + buffer for drawdown
  • VPS Recommended: For uninterrupted 24/5 operation during active session window

📋 Compliance & Usage Notes

  • This product is provided for educational and informational purposes only.
  • No performance claims, profit guarantees, or backtest results are presented as promises of future outcomes.
  • Users are strongly advised to:
    1. Forward-test on a demo account for at least 2–4 weeks
    2. Optimize parameters according to current market conditions
    3. Monitor performance regularly and adjust risk settings as needed
  • The developer assumes no liability for trading losses incurred while using this strategy.

🔄 Updates & Support

  • Regular compatibility updates for new cTrader platform versions
  • Parameter guidance documentation included
  • Community discussion forum access for strategy optimization tips

⚠️ Important Disclaimers

  1. No Performance Guarantees: Trading financial instruments involves substantial risk. Past performance, including backtested or historical replay results, is not indicative of future results. The developer makes no representations or warranties regarding profitability, consistency, or drawdown behaviour in live markets.
  2. Market & Broker Dependency: Actual results vary based on broker execution quality, spread conditions, slippage, liquidity, news volatility, and server infrastructure. The algorithm’s filters and hedging logic assume stable, low-latency execution environments.
  3. Parameter Responsibility: All configurable settings (grid spacing, multipliers, risk per trade, session filters, lot sizing, etc.) are user-adjustable. Improper configuration may increase exposure, breach margin limits, or trigger unintended position clustering. Users must thoroughly test parameter sets in demo environments before live deployment.
  4. Use at Your Own Risk: By installing or running cbots, you acknowledge that you have read, understood, and accepted all technical requirements, configuration responsibilities, and risk disclosures. The developer assumes no liability for losses, margin calls, platform errors, or execution deviations resulting from live trading.

Important on Optimisation Requirements

This algorithm is designed for both beginner and expert traders, but it is absolutely not suitable for lazy traders. For each financial instrument you wish to trade, whether it is a currency pair, index, commodity like gold or silver, or individual stock, you must perform your own optimisation process to find the optimal settings. Market behaviour differs significantly between instruments, and what works perfectly on one symbol will not work on another without proper tuning. The algorithm provides a state-of-the-art, high-quality framework and unique fitness optimisation tools, but you must be willing to invest the effort to adapt it to your chosen markets. This is a precision tool for serious, active traders who understand that market adaptation is the key to long-term profitability.

Past performance, including the backtest results presented for XAUUSD, does not guarantee future results. The algorithm's performance will vary based on market conditions, broker execution quality, latency, and parameter configuration. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown in backtests.

The algorithm requires instrument-specific optimisation. Parameters that perform well on one symbol or timeframe may produce losses on another. Users are solely responsible for conducting their own testing and validation before deploying the algorithm on a live account.

By purchasing this product, you acknowledge that algorithmic trading carries inherent risks and that you are solely responsible for all trading decisions and outcomes.


Profil dagangan
Gaya dagangan
Dagangan saham singkat
Jenis strategi
Arbitraj
Jenis analisis
Algoritma
Kekerapan dagangan
Sederhana
Baki minimum yang disyorkan
$100
Risiko setiap dagangan
8%
Tempoh carta
20 minit
Leveraj ujian belakang
1:500
Pengurusan risiko
Model risiko
Lot tetap
Jenis pesanan yang disokong
Had
Henti
Henti had
Pasaran
Kuantiti maksimum (lot)
1
Jenis kawalan risiko yang disokong
Henti rugi
Ambilan untung
Henti rugi trailing
Had susutan maksimum
0.0
Ulasan: 0
Ulasan pelanggan
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