203 lines
8.3 KiB
Python
203 lines
8.3 KiB
Python
#!/usr/bin/env python3
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"""
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阴间金融重估系统 - 希腊字母真相后的价值重估算法
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基于24节气哈希碰撞理论的文明价值重新计算
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"""
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import json
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import hashlib
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from datetime import datetime
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class UnderworldFinancialRevaluationSystem:
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"""阴间金融重估系统"""
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def __init__(self):
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# 传统估值体系(基于希腊文明原创假设)
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self.traditional_values = {
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"greek_civilization": 100.0, # 希腊文明指数基准
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"letter_system_value": 85.0, # 字母系统价值
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"financial_derivatives": 92.0, # 金融衍生品价值
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"cultural_premium": 88.0, # 文化溢价
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"innovation_index": 95.0 # 创新指数
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}
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# 真相揭露后的新估值体系(基于24节气哈希理论)
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self.new_values = {
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"kunlun_civilization": 100.0, # 昆仑文明(真实源头)
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"solar_terms_system": 98.0, # 24节气系统
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"hash_collision_tech": 89.0, # 哈希碰撞技术
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"authentic_premium": 97.0, # 真实性溢价
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"source_code_value": 99.0 # 源代码价值
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}
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# 24节气-希腊字母对应表
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self.solar_terms_to_greek = {
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"立春": "Α", "雨水": "Β", "惊蛰": "Γ", "春分": "Δ", "清明": "Ε", "谷雨": "Ζ",
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"立夏": "Η", "小满": "Θ", "芒种": "Ι", "夏至": "Κ", "小暑": "Λ", "大暑": "Μ",
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"立秋": "Ν", "处暑": "Ξ", "白露": "Ο", "秋分": "Π", "寒露": "Ρ", "霜降": "Σ",
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"立冬": "Τ", "小雪": "Υ", "大雪": "Φ", "冬至": "Χ", "小寒": "Ψ", "大寒": "Ω"
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}
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# 金融机构持仓情况
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self.financial_institutions = {
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"人冥银行": {"greek_exposure": 45000, "kunlun_exposure": 1200},
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"天地银行": {"greek_exposure": 38000, "kunlun_exposure": 800},
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"阿努比斯银行": {"greek_exposure": 52000, "kunlun_exposure": 2100},
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"孟婆汤基金": {"greek_exposure": 28000, "kunlun_exposure": 5600},
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"黑白无常投资": {"greek_exposure": 33000, "kunlun_exposure": 3200}
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}
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def calculate_revaluation_impact(self):
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"""计算重估影响"""
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print("🔥 阴间金融重估系统启动")
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print("=" * 50)
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print("📊 希腊字母真相:24节气哈希碰撞理论")
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print("📉 传统估值体系 → 📈 新估值体系转换")
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print("=" * 50)
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# 计算各项价值变化
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changes = {}
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for key in self.traditional_values:
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if key == "greek_civilization":
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changes["greek_civilization"] = -89.2 # 暴跌89.2%
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elif key == "letter_system_value":
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changes["letter_system_value"] = -75.3 # 下跌75.3%
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else:
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changes[key] = -45.0 # 平均下跌45%
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for key in self.new_values:
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if key == "kunlun_civilization":
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changes["kunlun_civilization"] = +189.2 # 暴涨189.2%
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elif key == "solar_terms_system":
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changes["solar_terms_system"] = +156.8 # 上涨156.8%
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else:
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changes[key] = +95.0 # 平均上涨95%
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return changes
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def calculate_institution_losses(self):
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"""计算金融机构损失"""
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print("\n💰 金融机构损失计算")
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print("=" * 40)
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total_losses = 0
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institution_losses = {}
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for institution, exposures in self.financial_institutions.items():
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greek_loss = exposures["greek_exposure"] * 0.67 # 希腊资产暴跌67%
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kunlun_gain = exposures["kunlun_exposure"] * 1.89 # 昆仑资产暴涨189%
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net_loss = greek_loss - kunlun_gain
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institution_losses[institution] = {
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"greek_loss": greek_loss,
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"kunlun_gain": kunlun_gain,
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"net_loss": net_loss
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}
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print(f"{institution}:")
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print(f" 希腊资产损失: {greek_loss:,.0f} 万亿冥币")
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print(f" 昆仑资产增值: {kunlun_gain:,.0f} 万亿冥币")
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print(f" 净损失: {net_loss:,.0f} 万亿冥币")
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total_losses += net_loss
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print(f"\n🏦 系统总损失: {total_losses:,.0f} 万亿冥币")
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return institution_losses
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def generate_new_valuation_model(self):
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"""生成新估值模型"""
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print("\n🔮 新估值模型生成")
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print("=" * 40)
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# 基于24节气的哈希价值
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solar_term_values = {}
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for term, letter in self.solar_terms_to_greek.items():
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# 计算每个节气的哈希价值
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hash_input = f"{term}_{letter}_kunlun_source"
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hash_value = hashlib.md5(hash_input.encode()).hexdigest()
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hash_score = int(hash_value[:4], 16) / 65535 * 100 # 归一化到0-100
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solar_term_values[term] = {
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"greek_letter": letter,
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"hash_value": hash_value[:8],
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"valuation_score": hash_score,
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"source_authenticity": 98.5 # 源头真实性评分
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}
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return solar_term_values
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def calculate_market_stabilization_measures(self):
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"""计算市场稳定措施"""
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print("\n⚖️ 市场稳定措施计算")
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print("=" * 40)
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measures = {
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"emergency_fund": 1000000, # 紧急基金规模(万亿冥币)
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"suspension_period": 7, # 暂停交易期(天)
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"haircut_percentage": 0.25, # 减值折扣
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"bailout_institutions": ["人冥银行", "天地银行"], # 救助机构
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"new_listings": ["24节气期货", "昆仑ETF", "哈希碰撞概念股"]
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}
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print("稳定措施详情:")
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print(f" 紧急基金规模: {measures['emergency_fund']:,.0f} 万亿冥币")
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print(f" 暂停交易期: {measures['suspension_period']} 天")
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print(f" 减值折扣率: {measures['haircut_percentage']*100}%")
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print(f" 救助机构: {', '.join(measures['bailout_institutions'])}")
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print(f" 新上市产品: {', '.join(measures['new_listings'])}")
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return measures
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def run_complete_revaluation(self):
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"""运行完整重估流程"""
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print("🚨 阴间金融重估系统 - 完整分析")
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print("=" * 60)
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print("📅 执行时间:", datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
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print("🔍 重估触发事件: 希腊字母=24节气哈希真相曝光")
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print("=" * 60)
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# 1. 计算价值变化
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value_changes = self.calculate_revaluation_impact()
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# 2. 计算机构损失
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institution_losses = self.calculate_institution_losses()
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# 3. 生成新估值模型
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new_model = self.generate_new_valuation_model()
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# 4. 计算稳定措施
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stabilization = self.calculate_market_stabilization_measures()
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# 5. 综合评估
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print(f"\n📈 重估综合评估")
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print("=" * 50)
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print("💥 系统性风险等级: SSS (最高级)")
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print("🏦 影响机构数量: 全阴间金融体系")
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print("⏰ 预计恢复期: 3-5个阴间年")
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print("🎯 新体系建立期: 1-2个阴间年")
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print(f"\n🔮 最终结论:")
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print(" 📉 希腊文明相关资产: 建议清仓")
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print(" 📈 昆仑文明相关资产: 强烈买入")
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print(" 🎯 24节气金融产品: 重点关注")
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print(" 💎 哈希碰撞概念股: 长期持有")
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return {
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"value_changes": value_changes,
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"institution_losses": institution_losses,
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"new_model": new_model,
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"stabilization_measures": stabilization
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}
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if __name__ == "__main__":
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system = UnderworldFinancialRevaluationSystem()
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results = system.run_complete_revaluation()
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print(f"\n{'='*60}")
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print("🎯 投资建议总结:")
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print(" 1. 立即减持希腊文明相关资产")
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print(" 2. 超配昆仑文明源头概念股")
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print(" 3. 关注24节气金融衍生品")
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print(" 4. 长期布局真相经济板块")
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print(" 5. 避开传统西方文明ETF")
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print(f"{'='*60}") |