Source CodeMT5
KING Full Source Code
Golden Qilin Official · KING full MQL5 source code
5.00(12)金麒麟官方12 sold
Platform
MT5
Category
Source Code
Delivery
File download delivery
Developer
金麒麟官方
$1500.00USD
USDT-TRC20 · Alipay (CNY equivalent) · File download delivery
DescriptionOVERVIEW
KING Full Source Code · Golden Qilin Official
This product is the complete MQL5 source code of the KING EA, covering all versions (v1.00 → v4.00). After purchase you get a one-time direct download.
What's included
- KING .mq5 source files across versions (baseline / balance, etc.)
- Freely compile, study and customize in MetaEditor
- Full strategy logic for learning grid and money-management implementation
License
- One-time purchase, perpetual use of the source
- Digital goods are non-refundable once delivered
Risk note: the source is for study and customization only; EAs/quant strategies are not investment advice and forex/derivatives trading carries high risk.
Further readingRELATED NOTES
Quantum King Source Audit: 1,590 Lines, Nothing Hidden — but the Risk Is Structural
We read every line of Quantum King 3.1's MQL5 source and compiled it. No licence checks, no trial timer, no hardcoded date tables — which is rarer than it should be. But it attaches no stop loss by default and every account-level guard ships disabled. Here's the mechanism and the boundaries.
We Read Quantum Queen X's Source Code: Three Hardcoded Date Tables That Quietly Repaint the Backtest
Quantum Queen X v4.3 ships 51 literal historical dates baked into its source: 24 on which it refuses to trade, 8 that multiply the take-profit by 15, and 19 that multiply it by 5. All are past dates and the last sits right at the build date — they can only rewrite backtests, never a future session. Here is the original code, line by line, and why this is cheating rather than optimisation.
What Actually Changes an MT5 Backtest — We Ran the Controlled Test
Same EA, same .set, two different equity curves. We isolated the chart timeframe in a controlled test: 60× the bar count, and every figure in both reports came back identical. The variables that actually move the number are elsewhere — ranked by impact, with our own measured data.
