huhan3000/汇票/阴间金融重估系统.py

203 lines
8.3 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

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