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I am an independent trader and algorithmic trading developer focused primarily on gold, Bitcoin, U.S. futures, and the foreign exchange market.
I did not enter trading because I believed there was a perfect strategy that could win forever. What attracted me was the relationship between price, probability, risk, and human behavior. Instead of trying to predict every candle, I care more about whether a trading system can continue to operate logically across different market cycles, volatility conditions, and periods of consecutive losses.
I have spent a significant amount of time developing strategies, running historical tests, validating parameters, and observing real-market execution. Many systems look impressive in a backtest, but the results can change completely once spreads, slippage, commissions, broker rules, and actual execution conditions are included. For that reason, I prefer to face drawdowns and failures honestly rather than only showing the most attractive equity curve.
My approach to EA development is straightforward: the trading logic must be clear, the risk must be explainable, the backtest must cover a meaningful range of market conditions, and every strategy must survive repeated questioning and revision.
To me, a valuable trading system is not simply the one that earns the most in a short period of time. It is a system that still understands why it is entering, why it is increasing exposure, and when it must stop—even when the market becomes difficult.
I do not promise a loss-free strategy, and I do not present high returns as risk-free. Uncertainty will always be part of the market. What I can do is continue improving the logic, controlling risk exposure, and testing every system against both time and real trading conditions.
Every system published here represents many hours of testing, failure, correction, and revalidation. None of them is perfect, but I take every detail seriously and stand behind the work I share.
Trading is a long game.
I am still learning, and I am still evolving.
I did not enter trading because I believed there was a perfect strategy that could win forever. What attracted me was the relationship between price, probability, risk, and human behavior. Instead of trying to predict every candle, I care more about whether a trading system can continue to operate logically across different market cycles, volatility conditions, and periods of consecutive losses.
I have spent a significant amount of time developing strategies, running historical tests, validating parameters, and observing real-market execution. Many systems look impressive in a backtest, but the results can change completely once spreads, slippage, commissions, broker rules, and actual execution conditions are included. For that reason, I prefer to face drawdowns and failures honestly rather than only showing the most attractive equity curve.
My approach to EA development is straightforward: the trading logic must be clear, the risk must be explainable, the backtest must cover a meaningful range of market conditions, and every strategy must survive repeated questioning and revision.
To me, a valuable trading system is not simply the one that earns the most in a short period of time. It is a system that still understands why it is entering, why it is increasing exposure, and when it must stop—even when the market becomes difficult.
I do not promise a loss-free strategy, and I do not present high returns as risk-free. Uncertainty will always be part of the market. What I can do is continue improving the logic, controlling risk exposure, and testing every system against both time and real trading conditions.
Every system published here represents many hours of testing, failure, correction, and revalidation. None of them is perfect, but I take every detail seriously and stand behind the work I share.
Trading is a long game.
I am still learning, and I am still evolving.
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Bo Wen Che
Published MetaTrader 5 signal
实盘信号说明 这是本EA的 真实账户实盘监控信号 ，主要用于公开展示策略在真实交易环境中的执行情况，而不是只展示历史回测曲线。 交易商：EC Markets 服务器：ECMarkets-MT5-Live01 交易平台：MetaTrader 5 该账户由EA按照既定程序自动执行。策略的核心参数已经固定在程序内部，交易过程中不会因为短期盈利、亏损或者人为情绪而临时改变交易逻辑。 我建立这个信号的目的很简单： 让所有人直接看到策略在真实市场中的表现。 回测可以展示历史，但真正值得观察的是系统在真实点差、真实手续费、真实滑点以及真实成交环境中的运行结果。 关于策略 这不是一个简单依赖某个指标交叉产生买卖信号的EA。 系统真正管理的是一个完整的交易周期，包括 市场状态识别、方向结构、波动环境、风险预算、仓位分配以及实际成交后的状态管理。 最终在账户里看到的一笔订单，只是整个内部决策过程最后产生的执行结果。 简单来说： 策略并不是先决定“我要开多少手”，再考虑风险。 而是先计算当前账户和当前交易周期允许承担多少风险，再由系统决定实际仓位。 所以不同资金档位下，EA会自动调整交易规模。 多层风险控制
Bo Wen Che
Published product
Please Read This First This is not an EA that requires complicated parameter tuning. The core parameters have already been extensively tested and fixed inside the program. I do not want users to randomly change the underlying parameters and end up running something completely different from the original system. In actual use, you only need to understand account type, capital tier, and trading direction . All other core logic is handled automatically inside the system. 1｜Live Account Available
