feat: Add smart trading assistant with context awareness

- Add SmartAgent with automatic context injection
  - Real-time portfolio/position data in every prompt
  - AI knows current state before responding

- Add TradingContext builder
  - Aggregates balance, positions, P&L across all traders
  - Auto-generates alerts (liquidation risk, large loss, etc.)

- Add background Monitor
  - Proactive position monitoring every 30s
  - Detects new positions, closed positions
  - Forwards alerts to Telegram

- Enhanced system prompts
  - Professional trading assistant persona
  - Risk assessment guidelines
  - Clear response formatting rules

Features:
 Context-aware responses
 Proactive risk alerts
 Background monitoring
 Alert broadcasting to Telegram
This commit is contained in:
tinklefund
2026-01-30 03:40:14 +08:00
parent 01ba348841
commit f9d8318869
6 changed files with 891 additions and 22 deletions

312
assistant/context.go Normal file
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// Package assistant - Trading Context Builder
// Automatically enriches AI prompts with real-time market and portfolio data
package assistant
import (
"fmt"
"nofx/manager"
"nofx/store"
"strings"
"time"
)
// TradingContext holds real-time trading context for AI decision making
type TradingContext struct {
// Portfolio state
TotalEquity float64 `json:"total_equity"`
AvailableBalance float64 `json:"available_balance"`
UnrealizedPnL float64 `json:"unrealized_pnl"`
Positions []PositionSummary `json:"positions"`
// Market data
MarketPrices map[string]float64 `json:"market_prices"`
PriceChanges24h map[string]float64 `json:"price_changes_24h"`
// Trader states
ActiveTraders []TraderSummary `json:"active_traders"`
// Alerts
Alerts []Alert `json:"alerts"`
// Timestamp
UpdatedAt time.Time `json:"updated_at"`
}
// PositionSummary summarizes a position
type PositionSummary struct {
Symbol string `json:"symbol"`
Side string `json:"side"` // "long" or "short"
Size float64 `json:"size"`
EntryPrice float64 `json:"entry_price"`
MarkPrice float64 `json:"mark_price"`
UnrealizedPnL float64 `json:"unrealized_pnl"`
PnLPercent float64 `json:"pnl_percent"`
Leverage int `json:"leverage"`
LiquidationPrice float64 `json:"liquidation_price,omitempty"`
TraderID string `json:"trader_id"`
TraderName string `json:"trader_name"`
}
// TraderSummary summarizes a trader's state
type TraderSummary struct {
ID string `json:"id"`
Name string `json:"name"`
Exchange string `json:"exchange"`
IsRunning bool `json:"is_running"`
Equity float64 `json:"equity"`
PositionCount int `json:"position_count"`
TodayPnL float64 `json:"today_pnl,omitempty"`
}
// Alert represents a trading alert
type Alert struct {
Level string `json:"level"` // "info", "warning", "danger"
Type string `json:"type"` // "liquidation_risk", "large_loss", "price_alert", etc.
Message string `json:"message"`
}
// ContextBuilder builds trading context for AI
type ContextBuilder struct {
traderManager *manager.TraderManager
store *store.Store
}
// NewContextBuilder creates a context builder
func NewContextBuilder(tm *manager.TraderManager, st *store.Store) *ContextBuilder {
return &ContextBuilder{
traderManager: tm,
store: st,
}
}
// BuildContext builds current trading context
func (cb *ContextBuilder) BuildContext() *TradingContext {
ctx := &TradingContext{
MarketPrices: make(map[string]float64),
PriceChanges24h: make(map[string]float64),
UpdatedAt: time.Now(),
}
// Get all traders
allTraders := cb.traderManager.GetAllTraders()
for id, trader := range allTraders {
summary := TraderSummary{
ID: id,
Name: trader.GetName(),
Exchange: trader.GetExchange(),
IsRunning: true, // If in map, it's running
}
// Get account info
if accountInfo, err := trader.GetAccountInfo(); err == nil {
if equity, ok := accountInfo["total_equity"].(float64); ok {
summary.Equity = equity
ctx.TotalEquity += equity
}
if available, ok := accountInfo["available_balance"].(float64); ok {
ctx.AvailableBalance += available
}
}
// Get positions
if positions, err := trader.GetPositions(); err == nil {
summary.PositionCount = len(positions)
for _, pos := range positions {
posSummary := cb.parsePosition(pos, id, trader.GetName())
if posSummary != nil {
ctx.Positions = append(ctx.Positions, *posSummary)
ctx.UnrealizedPnL += posSummary.UnrealizedPnL
// Track market prices
ctx.MarketPrices[posSummary.Symbol] = posSummary.MarkPrice
// Check for alerts
cb.checkPositionAlerts(ctx, posSummary)
}
}
}
ctx.ActiveTraders = append(ctx.ActiveTraders, summary)
}
return ctx
}
// parsePosition parses position data into summary
func (cb *ContextBuilder) parsePosition(pos map[string]interface{}, traderID, traderName string) *PositionSummary {
summary := &PositionSummary{
TraderID: traderID,
TraderName: traderName,
}
if symbol, ok := pos["symbol"].(string); ok {
summary.Symbol = symbol
}
if side, ok := pos["side"].(string); ok {
summary.Side = strings.ToLower(side)
}
if size, ok := pos["size"].(float64); ok {
summary.Size = size
}
if entry, ok := pos["entry_price"].(float64); ok {
summary.EntryPrice = entry
}
if mark, ok := pos["mark_price"].(float64); ok {
summary.MarkPrice = mark
}
if pnl, ok := pos["unrealized_pnl"].(float64); ok {
summary.UnrealizedPnL = pnl
}
if lev, ok := pos["leverage"].(int); ok {
summary.Leverage = lev
}
if liq, ok := pos["liquidation_price"].(float64); ok {
summary.LiquidationPrice = liq
}
// Calculate PnL percent
if summary.EntryPrice > 0 && summary.Size > 0 {
if summary.Side == "long" {
summary.PnLPercent = ((summary.MarkPrice - summary.EntryPrice) / summary.EntryPrice) * 100 * float64(summary.Leverage)
} else {
summary.PnLPercent = ((summary.EntryPrice - summary.MarkPrice) / summary.EntryPrice) * 100 * float64(summary.Leverage)
}
}
return summary
}
// checkPositionAlerts checks for position-related alerts
func (cb *ContextBuilder) checkPositionAlerts(ctx *TradingContext, pos *PositionSummary) {
// Liquidation risk alert
if pos.LiquidationPrice > 0 && pos.MarkPrice > 0 {
var distancePercent float64
if pos.Side == "long" {
distancePercent = ((pos.MarkPrice - pos.LiquidationPrice) / pos.MarkPrice) * 100
} else {
distancePercent = ((pos.LiquidationPrice - pos.MarkPrice) / pos.MarkPrice) * 100
}
if distancePercent < 5 {
ctx.Alerts = append(ctx.Alerts, Alert{
Level: "danger",
Type: "liquidation_risk",
Message: fmt.Sprintf("⚠️ %s %s仓位距离强平仅 %.1f%%", pos.Symbol, pos.Side, distancePercent),
})
} else if distancePercent < 10 {
ctx.Alerts = append(ctx.Alerts, Alert{
Level: "warning",
Type: "liquidation_risk",
Message: fmt.Sprintf("⚡ %s %s仓位距离强平 %.1f%%,注意风险", pos.Symbol, pos.Side, distancePercent),
})
}
}
// Large loss alert
if pos.PnLPercent < -20 {
ctx.Alerts = append(ctx.Alerts, Alert{
Level: "danger",
Type: "large_loss",
Message: fmt.Sprintf("📉 %s %s仓位亏损 %.1f%%,考虑止损", pos.Symbol, pos.Side, pos.PnLPercent),
})
} else if pos.PnLPercent < -10 {
ctx.Alerts = append(ctx.Alerts, Alert{
Level: "warning",
Type: "large_loss",
Message: fmt.Sprintf("📉 %s %s仓位亏损 %.1f%%", pos.Symbol, pos.Side, pos.PnLPercent),
})
}
// Large profit - consider taking profit
if pos.PnLPercent > 50 {
ctx.Alerts = append(ctx.Alerts, Alert{
Level: "info",
Type: "large_profit",
Message: fmt.Sprintf("📈 %s %s仓位盈利 %.1f%%,考虑部分止盈", pos.Symbol, pos.Side, pos.PnLPercent),
})
}
}
// FormatContextForPrompt formats context as text for AI prompt injection
func (ctx *TradingContext) FormatContextForPrompt() string {
var sb strings.Builder
sb.WriteString("\n\n---\n## 📊 当前交易状态 (实时)\n\n")
// Portfolio summary
sb.WriteString(fmt.Sprintf("**总权益:** $%.2f | **可用余额:** $%.2f | **未实现盈亏:** $%.2f\n\n",
ctx.TotalEquity, ctx.AvailableBalance, ctx.UnrealizedPnL))
// Alerts (high priority)
if len(ctx.Alerts) > 0 {
sb.WriteString("### ⚠️ 警报\n")
for _, alert := range ctx.Alerts {
sb.WriteString(fmt.Sprintf("- %s\n", alert.Message))
}
sb.WriteString("\n")
}
// Active positions
if len(ctx.Positions) > 0 {
sb.WriteString("### 📈 持仓\n")
sb.WriteString("| 交易对 | 方向 | 数量 | 入场价 | 现价 | 盈亏 | 盈亏% | 杠杆 | 交易员 |\n")
sb.WriteString("|--------|------|------|--------|------|------|-------|------|--------|\n")
for _, pos := range ctx.Positions {
pnlEmoji := "🟢"
if pos.UnrealizedPnL < 0 {
pnlEmoji = "🔴"
}
sb.WriteString(fmt.Sprintf("| %s | %s | %.4f | %.2f | %.2f | %s$%.2f | %.1f%% | %dx | %s |\n",
pos.Symbol, pos.Side, pos.Size, pos.EntryPrice, pos.MarkPrice,
pnlEmoji, pos.UnrealizedPnL, pos.PnLPercent, pos.Leverage, pos.TraderName))
}
sb.WriteString("\n")
} else {
sb.WriteString("### 📈 持仓\n无持仓\n\n")
}
// Active traders
if len(ctx.ActiveTraders) > 0 {
sb.WriteString("### 🤖 运行中的交易员\n")
for _, t := range ctx.ActiveTraders {
status := "✅ 运行中"
if !t.IsRunning {
status = "❌ 已停止"
}
sb.WriteString(fmt.Sprintf("- **%s** (%s) %s | 权益: $%.2f | 持仓: %d\n",
t.Name, t.Exchange, status, t.Equity, t.PositionCount))
}
sb.WriteString("\n")
}
sb.WriteString(fmt.Sprintf("*数据更新时间: %s*\n---\n", ctx.UpdatedAt.Format("2006-01-02 15:04:05")))
return sb.String()
}
// GetTopSymbols returns symbols with positions for market data queries
func (ctx *TradingContext) GetTopSymbols() []string {
symbolSet := make(map[string]bool)
for _, pos := range ctx.Positions {
symbolSet[pos.Symbol] = true
}
// Always include major pairs
symbolSet["BTCUSDT"] = true
symbolSet["ETHUSDT"] = true
symbols := make([]string, 0, len(symbolSet))
for s := range symbolSet {
symbols = append(symbols, s)
}
return symbols
}
// EnrichWithMarketData adds market data to context
// Note: Market prices are already populated from position data
func (cb *ContextBuilder) EnrichWithMarketData(ctx *TradingContext, symbols []string) {
// Market prices are populated from position mark prices
// Additional market data enrichment can be added here in the future
}

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assistant/monitor.go Normal file
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package assistant
import (
"fmt"
"nofx/logger"
"nofx/manager"
"nofx/store"
"sync"
"time"
)
// Monitor provides proactive monitoring and alerts
type Monitor struct {
traderManager *manager.TraderManager
store *store.Store
contextBuilder *ContextBuilder
// Alert callbacks
alertCallbacks []func(Alert)
callbackMu sync.RWMutex
// State
running bool
stopChan chan struct{}
interval time.Duration
// Last known state for change detection
lastPositions map[string]PositionSummary
lastAlerts map[string]time.Time // Prevent alert spam
mu sync.RWMutex
}
// NewMonitor creates a new trading monitor
func NewMonitor(tm *manager.TraderManager, st *store.Store) *Monitor {
return &Monitor{
traderManager: tm,
store: st,
contextBuilder: NewContextBuilder(tm, st),
stopChan: make(chan struct{}),
interval: 30 * time.Second, // Check every 30 seconds
lastPositions: make(map[string]PositionSummary),
lastAlerts: make(map[string]time.Time),
}
}
// OnAlert registers an alert callback
func (m *Monitor) OnAlert(callback func(Alert)) {
m.callbackMu.Lock()
defer m.callbackMu.Unlock()
m.alertCallbacks = append(m.alertCallbacks, callback)
}
// Start starts the monitor
func (m *Monitor) Start() {
m.mu.Lock()
if m.running {
m.mu.Unlock()
return
}
m.running = true
m.stopChan = make(chan struct{})
m.mu.Unlock()
logger.Info("🔍 Starting trading monitor...")
go m.monitorLoop()
}
// Stop stops the monitor
func (m *Monitor) Stop() {
m.mu.Lock()
defer m.mu.Unlock()
if !m.running {
return
}
m.running = false
close(m.stopChan)
logger.Info("🔍 Trading monitor stopped")
}
// monitorLoop is the main monitoring loop
func (m *Monitor) monitorLoop() {
ticker := time.NewTicker(m.interval)
defer ticker.Stop()
// Initial check
m.checkAndAlert()
for {
select {
case <-ticker.C:
m.checkAndAlert()
case <-m.stopChan:
return
}
}
}
// checkAndAlert checks positions and sends alerts
func (m *Monitor) checkAndAlert() {
ctx := m.contextBuilder.BuildContext()
// Process built-in alerts from context
for _, alert := range ctx.Alerts {
m.sendAlertIfNew(alert)
}
// Check for position changes
m.checkPositionChanges(ctx)
// Check for new large movements
m.checkMarketMovements(ctx)
}
// checkPositionChanges detects significant position changes
func (m *Monitor) checkPositionChanges(ctx *TradingContext) {
m.mu.Lock()
defer m.mu.Unlock()
currentPositions := make(map[string]PositionSummary)
for _, pos := range ctx.Positions {
key := fmt.Sprintf("%s_%s_%s", pos.TraderID, pos.Symbol, pos.Side)
currentPositions[key] = pos
// Check if this is a new position
if _, existed := m.lastPositions[key]; !existed {
m.sendAlert(Alert{
Level: "info",
Type: "new_position",
Message: fmt.Sprintf("📍 新开仓位: %s %s %.4f @ %.2f (%dx)",
pos.Symbol, pos.Side, pos.Size, pos.EntryPrice, pos.Leverage),
})
}
}
// Check for closed positions
for key, oldPos := range m.lastPositions {
if _, exists := currentPositions[key]; !exists {
m.sendAlert(Alert{
Level: "info",
Type: "position_closed",
Message: fmt.Sprintf("📍 仓位已平: %s %s (入场价: %.2f)",
oldPos.Symbol, oldPos.Side, oldPos.EntryPrice),
})
}
}
m.lastPositions = currentPositions
}
// checkMarketMovements checks for significant market movements
func (m *Monitor) checkMarketMovements(ctx *TradingContext) {
// This could be expanded to check price movements
// For now, we rely on the context builder's alerts
}
// sendAlertIfNew sends an alert only if it's new (avoid spam)
func (m *Monitor) sendAlertIfNew(alert Alert) {
m.mu.Lock()
defer m.mu.Unlock()
key := fmt.Sprintf("%s_%s", alert.Type, alert.Message)
// Check if we sent this alert recently (within 5 minutes)
if lastSent, ok := m.lastAlerts[key]; ok {
if time.Since(lastSent) < 5*time.Minute {
return // Skip, already sent recently
}
}
m.lastAlerts[key] = time.Now()
m.sendAlert(alert)
}
// sendAlert sends alert to all registered callbacks
func (m *Monitor) sendAlert(alert Alert) {
m.callbackMu.RLock()
callbacks := make([]func(Alert), len(m.alertCallbacks))
copy(callbacks, m.alertCallbacks)
m.callbackMu.RUnlock()
for _, cb := range callbacks {
go cb(alert)
}
}
// GetCurrentContext returns the current trading context
func (m *Monitor) GetCurrentContext() *TradingContext {
return m.contextBuilder.BuildContext()
}
// SetInterval sets the monitoring interval
func (m *Monitor) SetInterval(d time.Duration) {
m.mu.Lock()
defer m.mu.Unlock()
m.interval = d
}

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assistant/smart_agent.go Normal file
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package assistant
import (
"context"
"fmt"
"nofx/logger"
"nofx/manager"
"nofx/mcp"
"nofx/store"
"strings"
"time"
)
// SmartAgent is an enhanced AI agent with trading context awareness
type SmartAgent struct {
*Agent
contextBuilder *ContextBuilder
monitor *Monitor
// Auto-inject context into prompts
autoInjectContext bool
}
// NewSmartAgent creates a new smart trading agent
func NewSmartAgent(aiClient mcp.AIClient, config AgentConfig, tm *manager.TraderManager, st *store.Store) *SmartAgent {
baseAgent := NewAgent(aiClient, config)
baseAgent.SetSystemPrompt(SmartTradingPrompt())
contextBuilder := NewContextBuilder(tm, st)
monitor := NewMonitor(tm, st)
return &SmartAgent{
Agent: baseAgent,
contextBuilder: contextBuilder,
monitor: monitor,
autoInjectContext: true,
}
}
// SetAutoInjectContext enables/disables automatic context injection
func (sa *SmartAgent) SetAutoInjectContext(enabled bool) {
sa.autoInjectContext = enabled
}
// StartMonitor starts the background monitor
func (sa *SmartAgent) StartMonitor() {
sa.monitor.Start()
}
// StopMonitor stops the background monitor
func (sa *SmartAgent) StopMonitor() {
sa.monitor.Stop()
}
// OnAlert registers an alert callback
func (sa *SmartAgent) OnAlert(callback func(Alert)) {
sa.monitor.OnAlert(callback)
}
// Chat processes a message with smart context injection
func (sa *SmartAgent) Chat(ctx context.Context, sessionID string, userMessage string) (*AgentResponse, error) {
session := sa.GetSession(sessionID)
// Add user message to history
session.AddMessage(Message{
Role: "user",
Content: userMessage,
Timestamp: time.Now(),
})
// Build system prompt with tools
systemPrompt := sa.buildSmartSystemPrompt()
// Build conversation prompt with context injection
conversationPrompt := sa.buildSmartConversationPrompt(session, userMessage)
// Agent loop
var finalResponse string
toolCallCount := 0
for {
if ctx.Err() != nil {
return nil, ctx.Err()
}
if toolCallCount >= sa.config.MaxToolCalls {
logger.Warnf("⚠️ Max tool calls reached (%d)", sa.config.MaxToolCalls)
break
}
response, err := sa.aiClient.CallWithMessages(systemPrompt, conversationPrompt)
if err != nil {
return nil, fmt.Errorf("AI call failed: %w", err)
}
toolCalls, textResponse, err := sa.parseResponse(response)
if err != nil {
finalResponse = response
break
}
if len(toolCalls) == 0 {
finalResponse = textResponse
break
}
// Execute tool calls
toolResults := sa.executeToolCalls(ctx, toolCalls)
toolCallCount += len(toolCalls)
// Add results to conversation
conversationPrompt += fmt.Sprintf("\n\nAssistant called tools:\n%s\n\nTool results:\n%s\n\nBased on the tool results, provide a helpful response:",
formatToolCalls(toolCalls),
formatToolResults(toolResults))
if textResponse != "" {
finalResponse = textResponse
}
}
// Add response to history
session.AddMessage(Message{
Role: "assistant",
Content: finalResponse,
Timestamp: time.Now(),
})
return &AgentResponse{
Text: finalResponse,
SessionID: sessionID,
}, nil
}
// buildSmartSystemPrompt builds system prompt with tools
func (sa *SmartAgent) buildSmartSystemPrompt() string {
sa.toolsLock.RLock()
defer sa.toolsLock.RUnlock()
var toolDefs []string
for _, tool := range sa.tools {
toolDef := fmt.Sprintf(`- **%s**: %s
Parameters: %s`, tool.Name(), tool.Description(), tool.ParameterSchema())
toolDefs = append(toolDefs, toolDef)
}
toolsSection := ""
if len(toolDefs) > 0 {
toolsSection = fmt.Sprintf(`
## 可用工具
调用工具时,使用以下 JSON 格式:
{"tool_calls": [{"name": "工具名", "arguments": {"参数": "值"}}]}
收到工具结果后,用自然语言回复用户。
可用工具:
%s
`, strings.Join(toolDefs, "\n"))
}
return sa.systemPrompt + toolsSection
}
// buildSmartConversationPrompt builds conversation with context injection
func (sa *SmartAgent) buildSmartConversationPrompt(session *Session, currentMessage string) string {
var sb strings.Builder
// Inject current trading context if enabled
if sa.autoInjectContext {
tradingCtx := sa.contextBuilder.BuildContext()
sb.WriteString(tradingCtx.FormatContextForPrompt())
}
// Add conversation history
messages := session.GetMessages()
for _, msg := range messages {
sb.WriteString(fmt.Sprintf("\n%s: %s\n", strings.Title(msg.Role), msg.Content))
}
return sb.String()
}
// QuickStatus returns a quick status summary
func (sa *SmartAgent) QuickStatus() string {
ctx := sa.contextBuilder.BuildContext()
var sb strings.Builder
sb.WriteString("📊 **交易状态概览**\n\n")
sb.WriteString(fmt.Sprintf("💰 总权益: $%.2f\n", ctx.TotalEquity))
sb.WriteString(fmt.Sprintf("💵 可用余额: $%.2f\n", ctx.AvailableBalance))
if ctx.UnrealizedPnL >= 0 {
sb.WriteString(fmt.Sprintf("📈 未实现盈亏: 🟢 +$%.2f\n", ctx.UnrealizedPnL))
} else {
sb.WriteString(fmt.Sprintf("📉 未实现盈亏: 🔴 $%.2f\n", ctx.UnrealizedPnL))
}
sb.WriteString(fmt.Sprintf("📍 持仓数: %d\n", len(ctx.Positions)))
sb.WriteString(fmt.Sprintf("🤖 运行交易员: %d\n", len(ctx.ActiveTraders)))
if len(ctx.Alerts) > 0 {
sb.WriteString("\n⚠ **警报**\n")
for _, alert := range ctx.Alerts {
sb.WriteString(fmt.Sprintf("- %s\n", alert.Message))
}
}
return sb.String()
}
// GetTradingContext returns current trading context
func (sa *SmartAgent) GetTradingContext() *TradingContext {
return sa.contextBuilder.BuildContext()
}

115
assistant/smart_prompts.go Normal file
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package assistant
import "fmt"
// SmartTradingPrompt returns an enhanced system prompt with trading intelligence
func SmartTradingPrompt() string {
return `# 🧠 NOFX 智能交易助手
你是一个专业的 AI 交易助手,具备以下能力:
## 核心能力
### 1. 智能分析
- 分析用户意图,理解交易需求
- 在执行交易前,主动评估风险
- 结合市场数据给出建议
### 2. 主动提醒
- 发现持仓风险时主动警告
- 大额亏损时建议止损
- 接近强平时紧急提醒
### 3. 专业建议
- 根据仓位情况建议操作
- 评估杠杆和仓位大小是否合理
- 提供入场/出场时机建议
## 交易原则
1. **安全第一**:任何交易操作前必须确认,高风险操作要多次确认
2. **风险控制**
- 单笔交易不超过总资金的 10%
- 杠杆建议BTC/ETH ≤10x山寨币 ≤5x
- 发现强平风险立即警告
3. **理性决策**:不鼓励情绪化交易,亏损时建议冷静
## 回复风格
- 简洁专业,像交易员一样说话
- 数据说话,给出具体数字
- 风险提示放在显眼位置
- 支持中英文,根据用户语言回复
## 工具使用策略
当用户问到持仓、余额时:
1. 先调用 list_traders 获取交易员列表
2. 对运行中的交易员调用 get_balance 和 get_positions
3. 汇总数据后清晰展示
当用户想交易时:
1. 先获取当前持仓和余额
2. 评估这笔交易的风险
3. 明确告知风险后请求确认
4. 确认后执行交易
当用户问市场行情时:
1. 获取相关币种价格
2. 结合持仓情况分析
3. 给出操作建议(但声明不构成投资建议)
## 重要:响应格式
- 持仓展示用表格
- 重要警告用 ⚠️ 标注
- 盈利用 🟢,亏损用 🔴
- 操作建议用列表
记住:你的目标是帮助用户更好地管理交易,而不是鼓励频繁交易。稳健盈利比追求高收益更重要。`
}
// RiskAssessmentPrompt returns a prompt for risk assessment before trades
func RiskAssessmentPrompt(action, symbol string, quantity, leverage float64, currentBalance, currentPositions string) string {
return fmt.Sprintf(`## 交易风险评估
请评估以下交易的风险:
**操作**: %s %s
**数量**: %.4f
**杠杆**: %.0fx
**当前账户状态**:
%s
**当前持仓**:
%s
请分析:
1. 这笔交易是否合理?
2. 仓位大小是否过大?
3. 杠杆是否过高?
4. 有什么潜在风险?
5. 你的建议是什么?
如果风险过高,请明确警告用户。`, action, symbol, quantity, leverage, currentBalance, currentPositions)
}
// MarketAnalysisPrompt returns a prompt for market analysis
func MarketAnalysisPrompt(symbol string, priceData, positionData string) string {
return fmt.Sprintf(`## %s 市场分析
**价格数据**:
%s
**相关持仓**:
%s
请分析:
1. 当前价格趋势
2. 关键支撑/阻力位
3. 持仓建议(继续持有/加仓/减仓/平仓)
4. 风险提示
注:这是基于有限数据的分析,不构成投资建议。`, symbol, priceData, positionData)
}

51
main.go
View File

@@ -142,32 +142,39 @@ func main() {
var telegramBot *telegram.Bot
telegramConfig := telegram.LoadConfigFromEnv()
if telegramConfig.Token != "" {
logger.Info("🤖 Initializing Telegram AI Assistant...")
logger.Info("🤖 Initializing Smart Trading Assistant...")
// Create AI client for the assistant
aiClient := createAssistantAIClient()
// Create AI Agent with trading tools
agentConfig := assistant.DefaultAgentConfig()
agent := assistant.NewAgent(aiClient, agentConfig)
// Register trading tools
tradingTools := assistant.NewTradingTools(traderManager, st)
agent.RegisterTools(tradingTools.GetAllTools()...)
// Set system prompt based on language
if telegramConfig.DefaultLanguage == "zh" {
agent.SetSystemPrompt(assistant.ChineseSystemPrompt())
}
// Create and start Telegram bot
var err error
telegramBot, err = telegram.NewBot(telegramConfig, agent)
if err != nil {
logger.Errorf("❌ Failed to create Telegram bot: %v", err)
if aiClient == nil {
logger.Error("❌ No AI API key configured, Telegram bot disabled")
} else {
go telegramBot.Start()
logger.Info("✅ Telegram AI Assistant started successfully")
// Create Smart AI Agent with trading context awareness
agentConfig := assistant.DefaultAgentConfig()
smartAgent := assistant.NewSmartAgent(aiClient, agentConfig, traderManager, st)
// Register trading tools
tradingTools := assistant.NewTradingTools(traderManager, st)
smartAgent.RegisterTools(tradingTools.GetAllTools()...)
// Create and start Telegram bot
var err error
telegramBot, err = telegram.NewBot(telegramConfig, smartAgent.Agent)
if err != nil {
logger.Errorf("❌ Failed to create Telegram bot: %v", err)
} else {
// Start background monitor with alert forwarding to Telegram
smartAgent.OnAlert(func(alert assistant.Alert) {
telegramBot.BroadcastAlert(alert.Message)
})
smartAgent.StartMonitor()
go telegramBot.Start()
logger.Info("✅ Smart Trading Assistant started successfully")
logger.Info(" 📊 Real-time context injection: enabled")
logger.Info(" 🔍 Background monitoring: enabled")
logger.Info(" ⚠️ Proactive alerts: enabled")
}
}
} else {
logger.Info(" Telegram bot not configured (set TELEGRAM_BOT_TOKEN to enable)")

View File

@@ -408,6 +408,25 @@ func (b *Bot) AddAllowedUser(userID int64) {
b.allowedUsers[userID] = true
}
// BroadcastAlert sends an alert to all admin users
func (b *Bot) BroadcastAlert(message string) {
for _, adminID := range b.config.AdminUserIDs {
chat := &tele.Chat{ID: adminID}
_, err := b.bot.Send(chat, "🚨 "+message)
if err != nil {
logger.Errorf("Failed to send alert to admin %d: %v", adminID, err)
}
}
// If no admins configured, send to allowed users
if len(b.config.AdminUserIDs) == 0 {
for userID := range b.allowedUsers {
chat := &tele.Chat{ID: userID}
_, _ = b.bot.Send(chat, "🚨 "+message)
}
}
}
// RemoveAllowedUser removes a user from the allowlist
func (b *Bot) RemoveAllowedUser(userID int64) {
b.allowedUsersLock.Lock()