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Cristian David Castillo Arrieta
재무 및 국제 비즈니스 전문가로 재무 관리를 전공했습니다. MQL5와 Python 독학 개발자로서 알고리즘 트레이딩, 멀티에셋 포트폴리오 구축, 정량적 리스크 관리에 집중하고 있습니다.
저의 작업은 개별 전략이 아닌 조율된 포트폴리오로 작동하는 Expert Advisor의 설계, 최적화 및 검증에 중점을 두고 있습니다. 상관관계 분석, 시간대 커버리지 매핑, 자산군 분산화를 적용하여 단일 상품이나 단일 접근 방식에 의존하지 않는 시스템을 구축합니다. - 조회수:
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A high win rate and a smooth equity curve cannot tell you whether a strategy is quietly escalating position size after losses or averaging into a losing move. This script answers that question directly from the trade history.
The script reads a closed-position CSV and prints a full report in the Experts tab:
- Volume escalation after a loss — the martingale fingerprint.
- Overlapping same-direction exposure — the grid/averaging fingerprint.
- Payoff asymmetry — many small wins next to a disproportionately large loss.
- Classical risk of ruin — a heuristic approximation at your stated risk per trade.
- A composite score (A to F) combining the four dimensions, with written recommendations.
Input. Place a CSV named in the InpCsvFileName input parameter (default RuinAuditorSample.csv) in the terminal MQL5\Files folder, with the header OpenTime,CloseTime,Symbol,Type,Volume,OpenPrice,ClosePrice,Profit and one row per closed position. On the first run, if no file is found, the script generates a reproducible demo book instead and analyzes that, so the output is visible immediately. The companion script RuinExport.mq5 writes that CSV directly from your own account's trade history: run it once as a standalone script, then point RuinAuditor.mq5 at the file it wrote.
Parameters. Every reference threshold (the escalation ratio, the overlap and payoff bands, the risk fraction per trade, the composite weights, and the grade boundaries) is exposed as an input, so the sensitivity of each dimension and the final letter grade can be retuned without editing the code.
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Session-Based Liquidity Breakout
Session-Based Liquidity Breakout & Fibonacci Retracement Strategy (often used in Forex or Crypto trading). It simplifies trading by avoiding complex Smart Money Concepts (SMC) like Order Blocks or Fair Value Gaps, relying instead on Asian Session liquidity, timing (session open), and Fibonacci levels.
SteepMA Steep Moving Average Trend EA
SteepMA V0.7 is a trend-following EA that uses ‘moving average steepness’ as its core entry criterion. It screens for high-certainty market conditions by quantifying trend strength, and locks in profits through a dynamic stop-loss system that tightens progressively. It also features a built-in SQLite database to ensure full traceability of the entire trading process.(Some code has been omitted to facilitate approval.)
SimpleTradeStats
Statistics on closed trades. The indicator shows trading results, filtered by magic number.
