From 4a380a6769a11f30300c0e1acaedbfe609f1bdb2 Mon Sep 17 00:00:00 2001 From: SII-leiyu <115807123+chaoleiyv@users.noreply.github.com> Date: Sat, 18 Apr 2026 17:01:00 +0800 Subject: [PATCH] Translate all remaining Chinese to English across entire codebase All user-facing text now in English: reports, logs, email subjects, briefing templates, stats summaries, trader profiles, signal context, volatility reports, and Twitter section headers. Co-Authored-By: Claude Opus 4.6 (1M context) --- src/main.py | 2 +- src/models/anomaly_signal.py | 22 +++--- src/models/trade.py | 104 ++++++++++++++-------------- src/services/daily_briefing.py | 50 ++++++------- src/services/llm_analyzer.py | 60 ++++++++-------- src/services/stats_engine.py | 24 +++---- src/services/trade_monitor.py | 6 +- src/services/twitter_search.py | 4 +- src/services/volatility_analyzer.py | 64 ++++++++--------- 9 files changed, 168 insertions(+), 168 deletions(-) diff --git a/src/main.py b/src/main.py index 007c797..4056d70 100644 --- a/src/main.py +++ b/src/main.py @@ -166,7 +166,7 @@ class WhaleWatcher: try: subject = ( - f"异常交易警报 ({likelihood:.0%}) — " + f"Anomalous Trade Alert ({likelihood:.0%}) — " f"BUY {trade.outcome} @ {trade.price:.4f} " f"${trade.usdc_size:,.0f} — {whale_trade.market_question[:50]}" ) diff --git a/src/models/anomaly_signal.py b/src/models/anomaly_signal.py index c048581..a57235e 100644 --- a/src/models/anomaly_signal.py +++ b/src/models/anomaly_signal.py @@ -66,7 +66,7 @@ class AnomalySignal(BaseModel): trade_time = datetime.fromtimestamp(self.trade_timestamp).strftime('%Y-%m-%d %H:%M:%S') # Trader ranking info - trader_rank_str = "未上榜" + trader_rank_str = "Unranked" trader_pnl_str = "N/A" trader_vol_str = "N/A" if self.trader_ranking: @@ -81,14 +81,14 @@ class AnomalySignal(BaseModel): trader_history_str = "" if self.trader_history: trader_history_str = f""" -- 近期交易数: {self.trader_history.total_trades} 笔 -- 交易总额: ${self.trader_history.total_volume:,.2f} -- 大额交易数: {self.trader_history.large_trades_count} 笔""" +- Recent Trades: {self.trader_history.total_trades} +- Total Volume: ${self.trader_history.total_volume:,.2f} +- Large Trades: {self.trader_history.large_trades_count}""" - return f"""**交易时间**: {trade_time} -**交易方向**: {self.trade_side} -**交易金额**: ${self.trade_size_usd:,.2f} USDC -**交易价格**: {self.trade_price:.4f} -**交易结果**: {self.trade_outcome} -**交易者钱包**: {self.trader_wallet or 'Unknown'} -**交易者排名**: {trader_rank_str} (PnL: {trader_pnl_str}, 交易量: {trader_vol_str}){trader_history_str}""" + return f"""**Trade Time**: {trade_time} +**Direction**: {self.trade_side} +**Trade Size**: ${self.trade_size_usd:,.2f} USDC +**Trade Price**: {self.trade_price:.4f} +**Outcome**: {self.trade_outcome} +**Trader Wallet**: {self.trader_wallet or 'Unknown'} +**Trader Rank**: {trader_rank_str} (PnL: {trader_pnl_str}, Volume: {trader_vol_str}){trader_history_str}""" diff --git a/src/models/trade.py b/src/models/trade.py index 5574734..8e5e635 100644 --- a/src/models/trade.py +++ b/src/models/trade.py @@ -120,49 +120,49 @@ class WhaleTrade(BaseModel): def format_event_positions(self) -> str: """Format whale's event positions for LLM context.""" if self.whale_event_positions: - info = "### 该鲸鱼在同一事件下其他市场的持仓\n" - info += "（用于判断是否存在对冲或关联押注）\n\n" + info = "### Whale's Positions in Other Markets Under the Same Event\n" + info += "(Used to identify hedging or correlated bets)\n\n" for pos in self.whale_event_positions: - pnl_str = f"盈亏 ${pos.pnl:+,.0f}" if pos.pnl else "" + pnl_str = f"PnL ${pos.pnl:+,.0f}" if pos.pnl else "" info += ( f"- **{pos.market_question[:60]}{'...' if len(pos.market_question) > 60 else ''}**\n" f" {pos.side_summary} | " - f"当前价值 ${pos.current_value:,.0f} | 成本 ${pos.initial_value:,.0f} | " + f"Current Value ${pos.current_value:,.0f} | Cost Basis ${pos.initial_value:,.0f} | " f"{pnl_str}\n" ) return info - return "### 该鲸鱼在同一事件下其他市场的持仓\n- 无其他关联持仓（单一市场事件或无跨市场交易）\n" + return "### Whale's Positions in Other Markets Under the Same Event\n- No other related positions (single-market event or no cross-market trades)\n" def format_top_traders(self) -> str: """Format market top holders for LLM context.""" - info = "### 该市场 Top 5 多空双方持仓者\n" - info += "（反映市场主要参与者的立场和资质）\n" + info = "### Top 5 Bulls and Bears on This Market\n" + info += "(Reflects the stance and credentials of major participants)\n" if self.market_top_buyers: - info += "\n**看多方 (持有 Yes Token)**:\n" + info += "\n**Bulls (Holding Yes Token)**:\n" for i, t in enumerate(self.market_top_buyers, 1): - rank_str = f"排名 #{t.rank}" if t.rank else "未上榜" + rank_str = f"Rank #{t.rank}" if t.rank else "Unranked" pnl_str = f"PnL ${t.pnl:,.0f}" if t.pnl is not None else "" name_str = t.name or t.wallet[:10] + "..." info += ( f" {i}. **{name_str}** ({rank_str}{', ' + pnl_str if pnl_str else ''}) " - f"— 持仓价值 ${t.net_volume_usd:,.0f}\n" + f"— Position Value ${t.net_volume_usd:,.0f}\n" ) else: - info += "\n**看多方**: 无显著持仓\n" + info += "\n**Bulls**: No significant positions\n" if self.market_top_sellers: - info += "\n**看空方 (持有 No Token)**:\n" + info += "\n**Bears (Holding No Token)**:\n" for i, t in enumerate(self.market_top_sellers, 1): - rank_str = f"排名 #{t.rank}" if t.rank else "未上榜" + rank_str = f"Rank #{t.rank}" if t.rank else "Unranked" pnl_str = f"PnL ${t.pnl:,.0f}" if t.pnl is not None else "" name_str = t.name or t.wallet[:10] + "..." info += ( f" {i}. **{name_str}** ({rank_str}{', ' + pnl_str if pnl_str else ''}) " - f"— 持仓价值 ${t.net_volume_usd:,.0f}\n" + f"— Position Value ${t.net_volume_usd:,.0f}\n" ) else: - info += "\n**看空方**: 无显著持仓\n" + info += "\n**Bears**: No significant positions\n" return info @@ -171,70 +171,70 @@ class WhaleTrade(BaseModel): # Format trader ranking info trader_info = "" if self.trader_ranking: - rank_str = f"#{self.trader_ranking.rank}" if self.trader_ranking.rank else "未上榜" + rank_str = f"#{self.trader_ranking.rank}" if self.trader_ranking.rank else "Unranked" pnl_str = f"${self.trader_ranking.pnl:,.2f}" if self.trader_ranking.pnl else "N/A" vol_str = f"${self.trader_ranking.volume:,.2f}" if self.trader_ranking.volume else "N/A" - verified_str = "✅ 已认证" if self.trader_ranking.verified else "未认证" + verified_str = "Verified" if self.trader_ranking.verified else "Unverified" trader_info = f""" -### 交易者排名信息 (盈利排行榜) -- **排名**: {rank_str} (时间范围: {self.trader_ranking.time_period}) -- **累计盈亏 (PnL)**: {pnl_str} -- **交易量**: {vol_str} -- **用户名**: {self.trader_ranking.user_name or 'Anonymous'} -- **认证状态**: {verified_str} +### Trader Ranking (PnL Leaderboard) +- **Rank**: {rank_str} (Period: {self.trader_ranking.time_period}) +- **Cumulative PnL**: {pnl_str} +- **Volume**: {vol_str} +- **Username**: {self.trader_ranking.user_name or 'Anonymous'} +- **Verification**: {verified_str} """ else: trader_info = """ -### 交易者排名信息 -- 该交易者不在盈利排行榜上（可能是新用户或小额交易者） +### Trader Ranking +- This trader is not on the PnL leaderboard (possibly a new user or small trader) """ # Format trader history info history_info = "" if self.trader_history: history_info = f""" -### 交易者历史交易记录 -- **近期交易总数**: {self.trader_history.total_trades} 笔 -- **近期交易总额**: ${self.trader_history.total_volume:,.2f} USDC -- **平均交易金额**: ${self.trader_history.avg_trade_size:,.2f} USDC -- **大额交易次数** (≥$5000): {self.trader_history.large_trades_count} 笔 -- **活跃市场**: {', '.join(self.trader_history.recent_markets[:5]) if self.trader_history.recent_markets else 'N/A'} +### Trader History +- **Recent Trades**: {self.trader_history.total_trades} +- **Recent Volume**: ${self.trader_history.total_volume:,.2f} USDC +- **Avg Trade Size**: ${self.trader_history.avg_trade_size:,.2f} USDC +- **Large Trades** (>=$5000): {self.trader_history.large_trades_count} +- **Active Markets**: {', '.join(self.trader_history.recent_markets[:5]) if self.trader_history.recent_markets else 'N/A'} """ # Add recent large trades details if self.trader_history.recent_trades: - history_info += "\n**近期大额交易明细**:\n" + history_info += "\n**Recent Large Trade Details**:\n" for i, t in enumerate(self.trader_history.recent_trades[:5], 1): history_info += f" {i}. {t.get('side', 'N/A')} ${t.get('usdc_size', 0):,.2f} @ {t.get('price', 0):.4f} - {t.get('title', 'N/A')[:40]}...\n" else: history_info = """ -### 交易者历史交易记录 -- 无法获取该交易者的历史交易记录 +### Trader History +- Unable to retrieve this trader's trading history """ return f""" -## 异常交易检测 +## Anomalous Trade Detection -### 交易信息 -- 交易方向: BUY {self.trade.outcome} Token ({'看多，认为事件会发生' if self.trade.outcome == 'Yes' else '看空，认为事件不会发生'}) -- 交易金额: ${self.trade.usdc_size:,.2f} USDC -- 买入价格: {self.trade.price:.4f}（赔率约 {1/self.trade.price:.1f}x） -- 交易时间: {datetime.fromtimestamp(self.trade.timestamp).strftime('%Y-%m-%d %H:%M:%S')} -- 交易者钱包: {self.trade.proxy_wallet or 'Unknown'} +### Trade Information +- Direction: BUY {self.trade.outcome} Token ({'Bullish — expects the event to occur' if self.trade.outcome == 'Yes' else 'Bearish — expects the event will not occur'}) +- Trade Size: ${self.trade.usdc_size:,.2f} USDC +- Entry Price: {self.trade.price:.4f} (Odds ~{1/self.trade.price:.1f}x) +- Trade Time: {datetime.fromtimestamp(self.trade.timestamp).strftime('%Y-%m-%d %H:%M:%S')} +- Trader Wallet: {self.trade.proxy_wallet or 'Unknown'} {trader_info}{history_info} {self.format_event_positions()} {self.format_top_traders()} -### 市场信息 -- 市场问题: {self.market_question} -- 市场描述: {self.market_description or 'N/A'} -- 可能结果: {', '.join(self.market_outcomes)} -- 当前价格: {', '.join([f'{o}: {p:.4f}' for o, p in zip(self.market_outcomes, self.market_outcome_prices)])} +### Market Information +- Market Question: {self.market_question} +- Market Description: {self.market_description or 'N/A'} +- Possible Outcomes: {', '.join(self.market_outcomes)} +- Current Prices: {', '.join([f'{o}: {p:.4f}' for o, p in zip(self.market_outcomes, self.market_outcome_prices)])} -### 分析要点 -1. 这笔大额交易 (${self.trade.usdc_size:,.2f}) 的方向为 **BUY {self.trade.outcome} Token**，{'表明交易者看多，认为事件会发生' if self.trade.outcome == 'Yes' else '表明交易者看空，认为事件不会发生'} -2. 买入价格 {self.trade.price:.4f}，赔率约 {1/self.trade.price:.1f}x -3. **交易者排名和历史交易是判断信息不对称可信度的重要参考** -4. **注意分析该鲸鱼在同一事件下的其他持仓** — 如果持有反向仓位可能是对冲策略 -5. **参考该市场 Top 多空持仓者的阵营** — 精英交易者集中在哪一方 +### Key Analysis Points +1. This large trade (${self.trade.usdc_size:,.2f}) is **BUY {self.trade.outcome} Token**, {'indicating the trader is Bullish and expects the event to occur' if self.trade.outcome == 'Yes' else 'indicating the trader is Bearish and expects the event will not occur'} +2. Entry price {self.trade.price:.4f}, odds ~{1/self.trade.price:.1f}x +3. **Trader ranking and history are key references for assessing information asymmetry credibility** +4. **Review the whale's other positions under the same event** — opposite positions may indicate a hedging strategy +5. **Check the top bulls and bears on this market** — which side has the elite traders """ diff --git a/src/services/daily_briefing.py b/src/services/daily_briefing.py index b03ab1e..49a3b35 100644 --- a/src/services/daily_briefing.py +++ b/src/services/daily_briefing.py @@ -170,31 +170,31 @@ class DailyBriefingGenerator: date_str = date.strftime("%Y-%m-%d") lines = [ - f"# 每日信号简报 - {date_str}", + f"# Daily Signal Briefing - {date_str}", "", - f"生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", + f"Generated at: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", "", ] # Summary stats if is_fallback: - summary_line = f"- 今日无可信度 ≥ 60% 的内幕信号，以下为可信度最高的 **{len(insider_signals)}** 条" + summary_line = f"- No signals with confidence >= 60% today; showing the top **{len(insider_signals)}** by confidence" else: - summary_line = f"- 高可信度信息不对称信号: **{len(insider_signals)}** 个 (可信度 ≥ 60%)" + summary_line = f"- High-confidence information asymmetry signals: **{len(insider_signals)}** (confidence >= 60%)" lines.extend([ - "## 今日概览", + "## Today's Overview", "", summary_line, - f"- 异常价格波动: **{len(volatility_alerts)}** 次", + f"- Abnormal price volatility events: **{len(volatility_alerts)}**", "", ]) # Insider trading signals section if is_fallback: - section_title = "## 今日可信度最高的异常交易" + section_title = "## Today's Top Anomalous Trades by Confidence" else: - section_title = "## 高可信度信息不对称信号" + section_title = "## High-Confidence Information Asymmetry Signals" lines.extend([ "---", @@ -220,32 +220,32 @@ class DailyBriefingGenerator: lines.extend([ f"### {i}. {market_question[:80]}{'...' if len(market_question) > 80 else ''}", "", - f"| 指标 | 值 |", - f"|------|-----|", - f"| 信息不对称 | **{likelihood:.0%}** |", - f"| 交易方向 | BUY {trade_outcome} Token ({'看多' if trade_outcome == 'Yes' else '看空'}) |", - f"| 买入价格 | {trade_price:.4f}（赔率 {odds_str}） |", - f"| 花费金额 | **${trade_size:,.0f}** USDC |", - f"| 检测时间 | {detected_at} |", + f"| Metric | Value |", + f"|--------|-------|", + f"| Info Asymmetry | **{likelihood:.0%}** |", + f"| Direction | BUY {trade_outcome} Token ({'Bullish' if trade_outcome == 'Yes' else 'Bearish'}) |", + f"| Entry Price | {trade_price:.4f} (Odds {odds_str}) |", + f"| Trade Size | **${trade_size:,.0f}** USDC |", + f"| Detected At | {detected_at} |", "", ]) if reasoning: lines.extend([ - f"**分析过程**: {reasoning}", + f"**Analysis**: {reasoning}", "", ]) if insider_evidence: lines.extend([ - f"**内幕证据**: {insider_evidence}", + f"**Insider Evidence**: {insider_evidence}", "", ]) lines.append("") else: lines.extend([ - "*今日无异常交易信号*", + "*No anomalous trade signals today*", "", ]) @@ -253,14 +253,14 @@ class DailyBriefingGenerator: lines.extend([ "---", "", - "## 异常价格波动", + "## Abnormal Price Volatility", "", ]) if volatility_alerts: lines.extend([ - "| 市场 | 方向 | 波动幅度 | 起始价格 | 结束价格 | 检测时间 |", - "|------|------|----------|----------|----------|----------|", + "| Market | Direction | Change | Start Price | End Price | Detected At |", + "|--------|-----------|--------|-------------|-----------|-------------|", ]) for alert in volatility_alerts: @@ -269,7 +269,7 @@ class DailyBriefingGenerator: if len(market_question) > 40: market_question = market_question[:37] + "..." - direction = "下跌" if alert.get("direction") == "DOWN" else "上涨" + direction = "Down" if alert.get("direction") == "DOWN" else "Up" price_change = abs(alert.get("price_change_percent", 0)) start_price = alert.get("start_price", 0) end_price = alert.get("end_price", 0) @@ -283,7 +283,7 @@ class DailyBriefingGenerator: lines.append("") else: lines.extend([ - "*今日无异常价格波动*", + "*No abnormal price volatility today*", "", ]) @@ -300,7 +300,7 @@ class DailyBriefingGenerator: lines.extend([ "---", "", - "*此简报由 Polymarket Whale Watcher 自动生成*", + "*This briefing was automatically generated by Polymarket Whale Watcher*", ]) return "\n".join(lines) @@ -364,7 +364,7 @@ class DailyBriefingGenerator: recipients = [r.strip() for r in settings.email_recipient.split(",") if r.strip()] msg = MIMEMultipart("alternative") - msg["Subject"] = f"Polymarket 鲸鱼日报 - {date_str}" + msg["Subject"] = f"Polymarket Whale Daily Briefing - {date_str}" msg["From"] = settings.email_sender msg["To"] = ", ".join(recipients) diff --git a/src/services/llm_analyzer.py b/src/services/llm_analyzer.py index 637545e..3d32cbf 100644 --- a/src/services/llm_analyzer.py +++ b/src/services/llm_analyzer.py @@ -381,49 +381,49 @@ class LLMAnalyzer: ias = rec.information_asymmetry_score if ias >= 0.7: - insider_indicator = f"🔴 高信息不对称 ({ias:.0%})" + insider_indicator = f"High Information Asymmetry ({ias:.0%})" elif ias >= 0.4: - insider_indicator = f"🟡 中等信息不对称 ({ias:.0%})" + insider_indicator = f"Medium Information Asymmetry ({ias:.0%})" else: - insider_indicator = f"🟢 低信息不对称 ({ias:.0%})" + insider_indicator = f"Low Information Asymmetry ({ias:.0%})" rank_num = whale_trade.trader_ranking.rank if whale_trade.trader_ranking and whale_trade.trader_ranking.rank else None credibility_indicators = { - TraderCredibility.HIGH: f"🏆 高可信度 (#{rank_num})" if rank_num else "🏆 高可信度", - TraderCredibility.MEDIUM: f"⭐ 中等可信度 (#{rank_num})" if rank_num else "⭐ 中等可信度", - TraderCredibility.LOW: f"📉 低可信度 (#{rank_num})" if rank_num else "📉 低可信度", - TraderCredibility.UNKNOWN: "❓ 未知 (未上榜)", + TraderCredibility.HIGH: f"High Credibility (#{rank_num})" if rank_num else "High Credibility", + TraderCredibility.MEDIUM: f"Medium Credibility (#{rank_num})" if rank_num else "Medium Credibility", + TraderCredibility.LOW: f"Low Credibility (#{rank_num})" if rank_num else "Low Credibility", + TraderCredibility.UNKNOWN: "Unknown (Unranked)", } - credibility_str = credibility_indicators.get(rec.trader_credibility, "❓ 未知") + credibility_str = credibility_indicators.get(rec.trader_credibility, "Unknown") trader_ranking_str = "" if whale_trade.trader_ranking: tr = whale_trade.trader_ranking - rank_str = f"#{tr.rank}" if tr.rank else "未上榜" + rank_str = f"#{tr.rank}" if tr.rank else "Unranked" pnl_str = f"${tr.pnl:,.2f}" if tr.pnl else "N/A" - trader_ranking_str = f"| **交易者排名** | {rank_str} (PnL: {pnl_str}) |" + trader_ranking_str = f"| **Trader Rank** | {rank_str} (PnL: {pnl_str}) |" historical_info = "" if historical_signal_count > 0: - historical_info = f"\n**参考历史异常信号**: {historical_signal_count} 笔 (已综合分析)" + historical_info = f"\n**Historical Anomaly Signals Referenced**: {historical_signal_count} (analyzed together)" report = f""" {'='*70} -# 🐋 鲸鱼交易分析报告 +# Whale Trade Analysis Report {'='*70} -**生成时间**: {datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S')} UTC{historical_info} +**Generated at**: {datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S')} UTC{historical_info} -## 交易摘要 +## Trade Summary -| 项目 | 详情 | -|------|------| -| **市场** | {whale_trade.market_question} | -| **交易金额** | ${trade.usdc_size:,.2f} USDC | -| **交易方向** | BUY {trade.outcome} Token ({'看多' if trade.outcome == 'Yes' else '看空'}) | -| **交易价格** | {trade.price:.4f} ({trade.price:.1%}) | -| **当前赔率** | {prices_str} | -| **交易时间** | {datetime.fromtimestamp(trade.timestamp).strftime('%Y-%m-%d %H:%M:%S') if trade.timestamp else 'N/A'} | +| Field | Details | +|-------|---------| +| **Market** | {whale_trade.market_question} | +| **Trade Size** | ${trade.usdc_size:,.2f} USDC | +| **Direction** | BUY {trade.outcome} Token ({'Bullish' if trade.outcome == 'Yes' else 'Bearish'}) | +| **Trade Price** | {trade.price:.4f} ({trade.price:.1%}) | +| **Current Odds** | {prices_str} | +| **Trade Time** | {datetime.fromtimestamp(trade.timestamp).strftime('%Y-%m-%d %H:%M:%S') if trade.timestamp else 'N/A'} | {trader_ranking_str} {'='*70} @@ -431,20 +431,20 @@ class LLMAnalyzer: {decision.analysis} {'='*70} -## 🔍 信息不对称评估 +## Information Asymmetry Assessment {'='*70} -| 项目 | 评估 | -|------|------| -| **信息不对称程度** | {insider_indicator} | -| **交易者可信度** | {credibility_str} | +| Field | Assessment | +|-------|------------| +| **Information Asymmetry** | {insider_indicator} | +| **Trader Credibility** | {credibility_str} | -**关键证据**: {rec.insider_evidence or '无明确证据'} +**Key Evidence**: {rec.insider_evidence or 'No clear evidence'} -**推理过程**: {rec.reasoning} +**Reasoning**: {rec.reasoning} {'='*70} -⚠️ 免责声明：本报告由AI生成，仅供参考，不构成投资建议。 +Disclaimer: This report is AI-generated for informational purposes only and does not constitute investment advice. {'='*70} """ return report diff --git a/src/services/stats_engine.py b/src/services/stats_engine.py index df72aa8..5c74b6b 100644 --- a/src/services/stats_engine.py +++ b/src/services/stats_engine.py @@ -56,16 +56,16 @@ class StatsEngine: return "" lines = [ - "## 信号历史战绩", + "## Signal Performance History", "", - f"| 指标 | 值 |", - f"|------|-----|", - f"| 总信号数 | {stats['total_signals']} |", - f"| 已验证 | {stats['resolved']} |", - f"| 正确 | {stats['correct']} |", - f"| 胜率 | **{stats['win_rate']:.1%}** |", - f"| 平均ROI | **{stats['avg_roi']:+.1%}** |", - f"| 理论总PnL | **{stats['total_theoretical_pnl']:+.2f}x** |", + f"| Metric | Value |", + f"|--------|-------|", + f"| Total Signals | {stats['total_signals']} |", + f"| Resolved | {stats['resolved']} |", + f"| Correct | {stats['correct']} |", + f"| Win Rate | **{stats['win_rate']:.1%}** |", + f"| Avg ROI | **{stats['avg_roi']:+.1%}** |", + f"| Total Theoretical PnL | **{stats['total_theoretical_pnl']:+.2f}x** |", "", ] @@ -73,10 +73,10 @@ class StatsEngine: has_resolved_tiers = any(t["resolved"] > 0 for t in tier_stats) if has_resolved_tiers: lines.extend([ - "### 按信号可信度分层", + "### By Signal Confidence Tier", "", - "| 可信度区间 | 信号数 | 已验证 | 胜率 | 平均ROI |", - "|-----------|-------|-------|------|---------|", + "| Confidence Range | Signals | Resolved | Win Rate | Avg ROI |", + "|-----------------|---------|----------|----------|---------|", ]) for t in tier_stats: if t["total"] > 0: diff --git a/src/services/trade_monitor.py b/src/services/trade_monitor.py index dc67dd3..7882045 100644 --- a/src/services/trade_monitor.py +++ b/src/services/trade_monitor.py @@ -473,9 +473,9 @@ class TradeMonitor: # Build human-readable summary if outcome == "Yes": - side_summary = f"持有 Yes {size:,.0f} 份 @ 均价 {avg_price:.2%}，当前 {cur_price:.2%}" + side_summary = f"Holding Yes {size:,.0f} tokens @ avg {avg_price:.2%}, current {cur_price:.2%}" else: - side_summary = f"持有 No {size:,.0f} 份 @ 均价 {avg_price:.2%}，当前 {cur_price:.2%}" + side_summary = f"Holding No {size:,.0f} tokens @ avg {avg_price:.2%}, current {cur_price:.2%}" result.append(EventPosition( market_question=title, @@ -649,7 +649,7 @@ class TradeMonitor: market_id=market_id, ) - rank_str = f"(排名 #{trader_ranking.rank})" if trader_ranking and trader_ranking.rank else "(未上榜)" + rank_str = f"(Rank #{trader_ranking.rank})" if trader_ranking and trader_ranking.rank else "(Unranked)" breakdown_short = " | ".join(f"{k}={v:.2f}" for k, v in breakdown.items()) if not should_analyze: diff --git a/src/services/twitter_search.py b/src/services/twitter_search.py index 64fb53a..b403424 100644 --- a/src/services/twitter_search.py +++ b/src/services/twitter_search.py @@ -195,12 +195,12 @@ class TwitterSearchService: # 1. Search TOP tweets - high engagement, represents importance top_result = self.search_tweets(query, search_mode="top", limit=limit) if "No recent tweets" not in top_result and "Error" not in top_result: - results.append("## 🔥 热门推文（高互动/重要性）\n" + top_result) + results.append("## Hot Tweets (High Engagement / Importance)\n" + top_result) # 2. Search LATEST tweets - real-time info, represents timeliness latest_result = self.search_tweets(query, search_mode="latest", limit=limit) if "No recent tweets" not in latest_result and "Error" not in latest_result: - results.append("## ⚡ 最新推文（实时/时效性）\n" + latest_result) + results.append("## Latest Tweets (Real-Time / Timeliness)\n" + latest_result) if not results: return f"No relevant tweets found for: {market_question[:50]}..." diff --git a/src/services/volatility_analyzer.py b/src/services/volatility_analyzer.py index fca1a5b..217c485 100644 --- a/src/services/volatility_analyzer.py +++ b/src/services/volatility_analyzer.py @@ -256,59 +256,59 @@ class VolatilityAnalyzer: Returns: Formatted report string """ - direction_cn = "上涨" if signal.direction == "UP" else "下跌" - signal_type_cn = { - SignalType.LEADING_SIGNAL: "🚨 领先信号（价格早于新闻）", - SignalType.NEWS_DRIVEN: "📰 新闻驱动", - SignalType.SOCIAL_DRIVEN: "🐦 社交驱动", - SignalType.SPECULATION: "💭 投机波动", + direction_label = "Up" if signal.direction == "UP" else "Down" + signal_type_label = { + SignalType.LEADING_SIGNAL: "Leading Signal (Price Preceded News)", + SignalType.NEWS_DRIVEN: "News-Driven", + SignalType.SOCIAL_DRIVEN: "Social-Driven", + SignalType.SPECULATION: "Speculative Volatility", } - news_headlines = "\n".join([f" - {h}" for h in signal.key_news_headlines]) or " 无" - social_posts = "\n".join([f" - {p}" for p in signal.key_social_posts]) or " 无" + news_headlines = "\n".join([f" - {h}" for h in signal.key_news_headlines]) or " None" + social_posts = "\n".join([f" - {p}" for p in signal.key_social_posts]) or " None" report = f""" {'='*70} -# 📊 价格波动分析报告 +# Price Volatility Analysis Report {'='*70} -**分析时间**: {signal.detected_at} +**Analysis Time**: {signal.detected_at} -## 波动详情 +## Volatility Details -| 项目 | 详情 | -|------|------| -| **市场** | {signal.market_question} | -| **价格变动** | {direction_cn} {abs(signal.price_change_percent):.1%} | -| **起始价格** | {signal.start_price:.2%} | -| **结束价格** | {signal.end_price:.2%} | -| **时间窗口** | {signal.window_seconds // 60} 分钟 | +| Field | Details | +|-------|---------| +| **Market** | {signal.market_question} | +| **Price Change** | {direction_label} {abs(signal.price_change_percent):.1%} | +| **Start Price** | {signal.start_price:.2%} | +| **End Price** | {signal.end_price:.2%} | +| **Time Window** | {signal.window_seconds // 60} min | {'='*70} -## 🔍 分析结果 +## Analysis Results {'='*70} -| 项目 | 结果 | -|------|------| -| **信号类型** | {signal_type_cn.get(signal.signal_type, '未知')} | -| **置信度** | {signal.confidence:.1%} | -| **是否领先信号** | {'✅ 是' if signal.is_leading_signal else '❌ 否'} | -| **时间优势** | {signal.time_advantage_minutes} 分钟 | +| Field | Result | +|-------|--------| +| **Signal Type** | {signal_type_label.get(signal.signal_type, 'Unknown')} | +| **Confidence** | {signal.confidence:.1%} | +| **Is Leading Signal** | {'Yes' if signal.is_leading_signal else 'No'} | +| **Time Advantage** | {signal.time_advantage_minutes} min | -**最早新闻时间**: {signal.earliest_news_time or 'N/A'} -**最早社交时间**: {signal.earliest_social_time or 'N/A'} +**Earliest News Time**: {signal.earliest_news_time or 'N/A'} +**Earliest Social Time**: {signal.earliest_social_time or 'N/A'} -## 关键新闻 +## Key News {news_headlines} -## 关键社交帖子 +## Key Social Posts {social_posts} -## 分析理由 +## Reasoning {signal.reasoning} -## 推测信息来源 -{signal.potential_information_source or '未知'} +## Suspected Information Source +{signal.potential_information_source or 'Unknown'} {'='*70} {signal.full_analysis}