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Trading product for BTCUSD-cBot-H1-NSC cBot BTCUSD Forex, image 1
BTCUSD-cBot-H1-NSC
cBot
Versi 1.0, Nov 2024
Windows, Mac, Mobile, Web
Trading product for BTCUSD-cBot-H1-NSC cBot BTCUSD Forex, image 2
Trading product for BTCUSD-cBot-H1-NSC cBot BTCUSD Forex, image 3
Trading product for BTCUSD-cBot-H1-NSC cBot BTCUSD Forex, image 4
Trading product for BTCUSD-cBot-H1-NSC cBot BTCUSD Forex, image 5
22.81M
Volume trading
119.72K
Pip dimenangkan
2
Penjualan
472
Instal gratis

Deskripsi

Ringkasan

Ringkasan AI
BTCUSD-cBot-H1-NSC is a trading robot designed for demo and backtesting on the BTCUSD market using a dual Exponential Moving Average (EMA) crossover strategy on a 1-hour timeframe. It opens buy or sell trades when the fast EMA crosses the slow EMA, aiming to achieve a predefined target profit, after which trading stops. The bot manages risk through dynamic margin level rules: trading continues above 115% margin, pauses between 80-115%, partially closes positions between 40-80%, and closes all positions below 30% to limit losses. It supports hedging accounts with recommended leverage of 1:500 and operates with USD as the account currency. Position size is customizable, with a default of 0.02 lots, allowing adjustment to individual risk tolerance. The bot runs demo sessions starting Saturdays and continues until Sundays or until the profit target is reached. Initial balance for testing is set at $250. Backtesting covers one to two days starting Saturdays. This cBot automates trade entries and position management based on EMA signals and margin thresholds, providing a structured framework for risk and profit management in BTCUSD trading.
Profil trading

Ulasan pelanggan

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Ulasan: 0
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Diskusi

Pertanyaan umum

BTCUSD
Forex
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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