From 76684278f4f60f22f458be63bbe79d3e1adb675c Mon Sep 17 00:00:00 2001 From: vonuhau-saitex Date: Wed, 18 Mar 2026 12:47:53 +0700 Subject: [PATCH] feat: add multi-market support with Vietnam (VN) stock market provider Introduce an extensible market provider registry that allows TradingAgents to analyze stocks from non-US markets. Adds Vietnam market as the first non-US implementation using vnstock. The system auto-detects which market a ticker belongs to and routes data requests to the appropriate provider. --- .gitignore | 3 + cli/main.py | 51 +- cli/utils.py | 82 +- pyproject.toml | 5 +- .../agents/analysts/market_analyst.py | 17 + tradingagents/agents/analysts/news_analyst.py | 17 + tradingagents/dataflows/interface.py | 57 +- tradingagents/dataflows/market_registry.py | 186 +++++ tradingagents/dataflows/markets/__init__.py | 32 + .../dataflows/markets/vn/__init__.py | 5 + tradingagents/dataflows/markets/vn/config.py | 29 + tradingagents/dataflows/markets/vn/news.py | 203 +++++ .../dataflows/markets/vn/provider.py | 314 ++++++++ tradingagents/default_config.py | 9 + uv.lock | 746 ++++++++++++++++++ 15 files changed, 1705 insertions(+), 51 deletions(-) create mode 100644 tradingagents/dataflows/market_registry.py create mode 100644 tradingagents/dataflows/markets/__init__.py create mode 100644 tradingagents/dataflows/markets/vn/__init__.py create mode 100644 tradingagents/dataflows/markets/vn/config.py create mode 100644 tradingagents/dataflows/markets/vn/news.py create mode 100644 tradingagents/dataflows/markets/vn/provider.py diff --git a/.gitignore b/.gitignore index 9a2904a9..3cb1b376 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,6 @@ +# macOS +.DS_Store + # Byte-compiled / optimized / DLL files __pycache__/ *.py[codz] diff --git a/cli/main.py b/cli/main.py index adda48fc..2f725feb 100644 --- a/cli/main.py +++ b/cli/main.py @@ -462,7 +462,7 @@ def update_display(layout, spinner_text=None, stats_handler=None, start_time=Non def get_user_selections(): """Get all user selections before starting the analysis display.""" # Display ASCII art welcome message - with open("./cli/static/welcome.txt", "r", encoding="utf-8") as f: + with open("./cli/static/welcome.txt", "r") as f: welcome_ascii = f.read() # Create welcome box content @@ -498,29 +498,38 @@ def get_user_selections(): box_content += f"\n[dim]Default: {default}[/dim]" return Panel(box_content, border_style="blue", padding=(1, 2)) - # Step 1: Ticker symbol + # Step 1: Market selection console.print( create_question_box( - "Step 1: Ticker Symbol", "Enter the ticker symbol to analyze", "SPY" + "Step 1: Stock Market", "Select which stock market to analyze", "Auto-detect" + ) + ) + selected_market = select_market() + + # Step 2: Ticker symbol + ticker_hint = "VCB, FPT, VNM" if selected_market == "VN" else "SPY" + console.print( + create_question_box( + "Step 2: Ticker Symbol", "Enter the ticker symbol to analyze", ticker_hint ) ) selected_ticker = get_ticker() - # Step 2: Analysis date + # Step 3: Analysis date default_date = datetime.datetime.now().strftime("%Y-%m-%d") console.print( create_question_box( - "Step 2: Analysis Date", + "Step 3: Analysis Date", "Enter the analysis date (YYYY-MM-DD)", default_date, ) ) analysis_date = get_analysis_date() - # Step 3: Select analysts + # Step 4: Select analysts console.print( create_question_box( - "Step 3: Analysts Team", "Select your LLM analyst agents for the analysis" + "Step 4: Analysts Team", "Select your LLM analyst agents for the analysis" ) ) selected_analysts = select_analysts() @@ -528,32 +537,32 @@ def get_user_selections(): f"[green]Selected analysts:[/green] {', '.join(analyst.value for analyst in selected_analysts)}" ) - # Step 4: Research depth + # Step 5: Research depth console.print( create_question_box( - "Step 4: Research Depth", "Select your research depth level" + "Step 5: Research Depth", "Select your research depth level" ) ) selected_research_depth = select_research_depth() - # Step 5: OpenAI backend + # Step 6: LLM Provider console.print( create_question_box( - "Step 5: OpenAI backend", "Select which service to talk to" + "Step 6: LLM Provider", "Select which service to talk to" ) ) selected_llm_provider, backend_url = select_llm_provider() - - # Step 6: Thinking agents + + # Step 7: Thinking agents console.print( create_question_box( - "Step 6: Thinking Agents", "Select your thinking agents for analysis" + "Step 7: Thinking Agents", "Select your thinking agents for analysis" ) ) selected_shallow_thinker = select_shallow_thinking_agent(selected_llm_provider) selected_deep_thinker = select_deep_thinking_agent(selected_llm_provider) - # Step 7: Provider-specific thinking configuration + # Step 8: Provider-specific thinking configuration thinking_level = None reasoning_effort = None @@ -561,7 +570,7 @@ def get_user_selections(): if provider_lower == "google": console.print( create_question_box( - "Step 7: Thinking Mode", + "Step 8: Thinking Mode", "Configure Gemini thinking mode" ) ) @@ -569,13 +578,14 @@ def get_user_selections(): elif provider_lower == "openai": console.print( create_question_box( - "Step 7: Reasoning Effort", + "Step 8: Reasoning Effort", "Configure OpenAI reasoning effort level" ) ) reasoning_effort = ask_openai_reasoning_effort() return { + "market": selected_market, "ticker": selected_ticker, "analysis_date": analysis_date, "analysts": selected_analysts, @@ -908,6 +918,7 @@ def run_analysis(): config["deep_think_llm"] = selections["deep_thinker"] config["backend_url"] = selections["backend_url"] config["llm_provider"] = selections["llm_provider"].lower() + config["market"] = selections.get("market", "auto") # Provider-specific thinking configuration config["google_thinking_level"] = selections.get("google_thinking_level") config["openai_reasoning_effort"] = selections.get("openai_reasoning_effort") @@ -948,7 +959,7 @@ def run_analysis(): func(*args, **kwargs) timestamp, message_type, content = obj.messages[-1] content = content.replace("\n", " ") # Replace newlines with spaces - with open(log_file, "a", encoding="utf-8") as f: + with open(log_file, "a") as f: f.write(f"{timestamp} [{message_type}] {content}\n") return wrapper @@ -959,7 +970,7 @@ def run_analysis(): func(*args, **kwargs) timestamp, tool_name, args = obj.tool_calls[-1] args_str = ", ".join(f"{k}={v}" for k, v in args.items()) - with open(log_file, "a", encoding="utf-8") as f: + with open(log_file, "a") as f: f.write(f"{timestamp} [Tool Call] {tool_name}({args_str})\n") return wrapper @@ -972,7 +983,7 @@ def run_analysis(): content = obj.report_sections[section_name] if content: file_name = f"{section_name}.md" - with open(report_dir / file_name, "w", encoding="utf-8") as f: + with open(report_dir / file_name, "w") as f: f.write(content) return wrapper diff --git a/cli/utils.py b/cli/utils.py index 5a8ec16c..206672e3 100644 --- a/cli/utils.py +++ b/cli/utils.py @@ -1,12 +1,8 @@ import questionary from typing import List, Optional, Tuple, Dict -from rich.console import Console - from cli.models import AnalystType -console = Console() - ANALYST_ORDER = [ ("Market Analyst", AnalystType.MARKET), ("Social Media Analyst", AnalystType.SOCIAL), @@ -35,6 +31,35 @@ def get_ticker() -> str: return ticker.strip().upper() +def select_market() -> str: + """Select the stock market to use. Returns market code string.""" + MARKET_OPTIONS = [ + ("Auto-detect (Recommended)", "auto"), + ("US Market (NYSE, NASDAQ)", "US"), + ("Vietnam Market (HOSE, HNX, UPCOM)", "VN"), + ] + + choice = questionary.select( + "Select Stock Market:", + choices=[ + questionary.Choice(display, value=value) for display, value in MARKET_OPTIONS + ], + instruction="\n- Use arrow keys to navigate\n- Press Enter to select", + style=questionary.Style( + [ + ("selected", "fg:green noinherit"), + ("highlighted", "fg:green noinherit"), + ("pointer", "fg:green noinherit"), + ] + ), + ).ask() + + if choice is None: + return "auto" + + return choice + + def get_analysis_date() -> str: """Prompt the user to enter a date in YYYY-MM-DD format.""" import re @@ -130,30 +155,30 @@ def select_shallow_thinking_agent(provider) -> str: """Select shallow thinking llm engine using an interactive selection.""" # Define shallow thinking llm engine options with their corresponding model names - # Ordering: medium → light → heavy (balanced first for quick tasks) - # Within same tier, newer models first SHALLOW_AGENT_OPTIONS = { "openai": [ - ("GPT-5 Mini - Balanced speed, cost, and capability", "gpt-5-mini"), - ("GPT-5 Nano - High-throughput, simple tasks", "gpt-5-nano"), - ("GPT-5.4 - Latest frontier, 1M context", "gpt-5.4"), - ("GPT-4.1 - Smartest non-reasoning model", "gpt-4.1"), + ("GPT-5 Mini - Cost-optimized reasoning", "gpt-5-mini"), + ("GPT-5 Nano - Ultra-fast, high-throughput", "gpt-5-nano"), + ("GPT-5.2 - Latest flagship", "gpt-5.2"), + ("GPT-5.1 - Flexible reasoning", "gpt-5.1"), + ("GPT-4.1 - Smartest non-reasoning, 1M context", "gpt-4.1"), ], "anthropic": [ - ("Claude Sonnet 4.6 - Best speed and intelligence balance", "claude-sonnet-4-6"), - ("Claude Haiku 4.5 - Fast, near-instant responses", "claude-haiku-4-5"), - ("Claude Sonnet 4.5 - Agents and coding", "claude-sonnet-4-5"), + ("Claude Haiku 4.5 - Fast + extended thinking", "claude-haiku-4-5"), + ("Claude Sonnet 4.5 - Best for agents/coding", "claude-sonnet-4-5"), + ("Claude Sonnet 4 - High-performance", "claude-sonnet-4-20250514"), ], "google": [ ("Gemini 3 Flash - Next-gen fast", "gemini-3-flash-preview"), - ("Gemini 2.5 Flash - Balanced, stable", "gemini-2.5-flash"), - ("Gemini 3.1 Flash Lite - Most cost-efficient", "gemini-3.1-flash-lite-preview"), + ("Gemini 2.5 Flash - Balanced, recommended", "gemini-2.5-flash"), + ("Gemini 3 Pro - Reasoning-first", "gemini-3-pro-preview"), ("Gemini 2.5 Flash Lite - Fast, low-cost", "gemini-2.5-flash-lite"), ], "xai": [ ("Grok 4.1 Fast (Non-Reasoning) - Speed optimized, 2M ctx", "grok-4-1-fast-non-reasoning"), ("Grok 4 Fast (Non-Reasoning) - Speed optimized", "grok-4-fast-non-reasoning"), ("Grok 4.1 Fast (Reasoning) - High-performance, 2M ctx", "grok-4-1-fast-reasoning"), + ("Grok 4 Fast (Reasoning) - High-performance", "grok-4-fast-reasoning"), ], "openrouter": [ ("NVIDIA Nemotron 3 Nano 30B (free)", "nvidia/nemotron-3-nano-30b-a3b:free"), @@ -195,32 +220,33 @@ def select_deep_thinking_agent(provider) -> str: """Select deep thinking llm engine using an interactive selection.""" # Define deep thinking llm engine options with their corresponding model names - # Ordering: heavy → medium → light (most capable first for deep tasks) - # Within same tier, newer models first DEEP_AGENT_OPTIONS = { "openai": [ - ("GPT-5.4 - Latest frontier, 1M context", "gpt-5.4"), - ("GPT-5.2 - Strong reasoning, cost-effective", "gpt-5.2"), - ("GPT-5 Mini - Balanced speed, cost, and capability", "gpt-5-mini"), - ("GPT-5.4 Pro - Most capable, expensive ($30/$180 per 1M tokens)", "gpt-5.4-pro"), + ("GPT-5.2 - Latest flagship", "gpt-5.2"), + ("GPT-5.1 - Flexible reasoning", "gpt-5.1"), + ("GPT-5 - Advanced reasoning", "gpt-5"), + ("GPT-4.1 - Smartest non-reasoning, 1M context", "gpt-4.1"), + ("GPT-5 Mini - Cost-optimized reasoning", "gpt-5-mini"), + ("GPT-5 Nano - Ultra-fast, high-throughput", "gpt-5-nano"), ], "anthropic": [ - ("Claude Opus 4.6 - Most intelligent, agents and coding", "claude-opus-4-6"), + ("Claude Sonnet 4.5 - Best for agents/coding", "claude-sonnet-4-5"), ("Claude Opus 4.5 - Premium, max intelligence", "claude-opus-4-5"), - ("Claude Sonnet 4.6 - Best speed and intelligence balance", "claude-sonnet-4-6"), - ("Claude Sonnet 4.5 - Agents and coding", "claude-sonnet-4-5"), + ("Claude Opus 4.1 - Most capable model", "claude-opus-4-1-20250805"), + ("Claude Haiku 4.5 - Fast + extended thinking", "claude-haiku-4-5"), + ("Claude Sonnet 4 - High-performance", "claude-sonnet-4-20250514"), ], "google": [ - ("Gemini 3.1 Pro - Reasoning-first, complex workflows", "gemini-3.1-pro-preview"), + ("Gemini 3 Pro - Reasoning-first", "gemini-3-pro-preview"), ("Gemini 3 Flash - Next-gen fast", "gemini-3-flash-preview"), - ("Gemini 2.5 Pro - Stable pro model", "gemini-2.5-pro"), - ("Gemini 2.5 Flash - Balanced, stable", "gemini-2.5-flash"), + ("Gemini 2.5 Flash - Balanced, recommended", "gemini-2.5-flash"), ], "xai": [ - ("Grok 4 - Flagship model", "grok-4-0709"), ("Grok 4.1 Fast (Reasoning) - High-performance, 2M ctx", "grok-4-1-fast-reasoning"), ("Grok 4 Fast (Reasoning) - High-performance", "grok-4-fast-reasoning"), + ("Grok 4 - Flagship model", "grok-4-0709"), ("Grok 4.1 Fast (Non-Reasoning) - Speed optimized, 2M ctx", "grok-4-1-fast-non-reasoning"), + ("Grok 4 Fast (Non-Reasoning) - Speed optimized", "grok-4-fast-non-reasoning"), ], "openrouter": [ ("Z.AI GLM 4.5 Air (free)", "z-ai/glm-4.5-air:free"), diff --git a/pyproject.toml b/pyproject.toml index 4c91a733..74cc7016 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,13 +4,14 @@ build-backend = "setuptools.build_meta" [project] name = "tradingagents" -version = "0.2.1" +version = "0.2.0" description = "TradingAgents: Multi-Agents LLM Financial Trading Framework" readme = "README.md" requires-python = ">=3.10" dependencies = [ "langchain-core>=0.3.81", "backtrader>=1.9.78.123", + "chainlit>=2.5.5", "langchain-anthropic>=0.3.15", "langchain-experimental>=0.3.4", "langchain-google-genai>=2.1.5", @@ -30,6 +31,8 @@ dependencies = [ "tqdm>=4.67.1", "typing-extensions>=4.14.0", "yfinance>=0.2.63", + "vnstock>=3.0.0", + "feedparser>=6.0.0", ] [project.scripts] diff --git a/tradingagents/agents/analysts/market_analyst.py b/tradingagents/agents/analysts/market_analyst.py index e175b94e..492ada41 100644 --- a/tradingagents/agents/analysts/market_analyst.py +++ b/tradingagents/agents/analysts/market_analyst.py @@ -5,6 +5,20 @@ from tradingagents.agents.utils.agent_utils import get_stock_data, get_indicator from tradingagents.dataflows.config import get_config +def _get_market_context(ticker: str) -> str: + """Get market-specific context for the ticker, if it belongs to a registered market.""" + try: + from tradingagents.dataflows.market_registry import registry + market_code = registry.detect_market(ticker) + if market_code: + provider = registry.get_provider(market_code) + if provider: + return "\n\n" + provider.get_market_context() + except Exception: + pass + return "" + + def create_market_analyst(llm): def market_analyst_node(state): @@ -17,6 +31,8 @@ def create_market_analyst(llm): get_indicators, ] + market_context = _get_market_context(ticker) + system_message = ( """You are a trading assistant tasked with analyzing financial markets. Your role is to select the **most relevant indicators** for a given market condition or trading strategy from the following list. The goal is to choose up to **8 indicators** that provide complementary insights without redundancy. Categories and each category's indicators are: @@ -44,6 +60,7 @@ Volume-Based Indicators: - Select indicators that provide diverse and complementary information. Avoid redundancy (e.g., do not select both rsi and stochrsi). Also briefly explain why they are suitable for the given market context. When you tool call, please use the exact name of the indicators provided above as they are defined parameters, otherwise your call will fail. Please make sure to call get_stock_data first to retrieve the CSV that is needed to generate indicators. Then use get_indicators with the specific indicator names. Write a very detailed and nuanced report of the trends you observe. Do not simply state the trends are mixed, provide detailed and finegrained analysis and insights that may help traders make decisions.""" + """ Make sure to append a Markdown table at the end of the report to organize key points in the report, organized and easy to read.""" + + market_context ) prompt = ChatPromptTemplate.from_messages( diff --git a/tradingagents/agents/analysts/news_analyst.py b/tradingagents/agents/analysts/news_analyst.py index 03b4fae4..d8844fc0 100644 --- a/tradingagents/agents/analysts/news_analyst.py +++ b/tradingagents/agents/analysts/news_analyst.py @@ -5,6 +5,20 @@ from tradingagents.agents.utils.agent_utils import get_news, get_global_news from tradingagents.dataflows.config import get_config +def _get_market_context(ticker: str) -> str: + """Get market-specific context for the ticker, if it belongs to a registered market.""" + try: + from tradingagents.dataflows.market_registry import registry + market_code = registry.detect_market(ticker) + if market_code: + provider = registry.get_provider(market_code) + if provider: + return "\n\n" + provider.get_market_context() + except Exception: + pass + return "" + + def create_news_analyst(llm): def news_analyst_node(state): current_date = state["trade_date"] @@ -15,9 +29,12 @@ def create_news_analyst(llm): get_global_news, ] + market_context = _get_market_context(ticker) + system_message = ( "You are a news researcher tasked with analyzing recent news and trends over the past week. Please write a comprehensive report of the current state of the world that is relevant for trading and macroeconomics. Use the available tools: get_news(query, start_date, end_date) for company-specific or targeted news searches, and get_global_news(curr_date, look_back_days, limit) for broader macroeconomic news. Do not simply state the trends are mixed, provide detailed and finegrained analysis and insights that may help traders make decisions." + """ Make sure to append a Markdown table at the end of the report to organize key points in the report, organized and easy to read.""" + + market_context ) prompt = ChatPromptTemplate.from_messages( diff --git a/tradingagents/dataflows/interface.py b/tradingagents/dataflows/interface.py index 0caf4b68..af82cffd 100644 --- a/tradingagents/dataflows/interface.py +++ b/tradingagents/dataflows/interface.py @@ -24,6 +24,12 @@ from .alpha_vantage import ( ) from .alpha_vantage_common import AlphaVantageRateLimitError +# Market provider registry +from .market_registry import registry as market_registry, MARKET_METHOD_MAP + +# Auto-discover and register market providers +from . import markets # noqa: F401 + # Configuration and routing logic from .config import get_config @@ -109,6 +115,30 @@ VENDOR_METHODS = { }, } + +def _extract_ticker(method: str, args: tuple, kwargs: dict) -> str: + """Extract the ticker/symbol from method arguments. + + Most data methods take ticker/symbol as the first positional argument. + get_global_news is the exception — it has no ticker argument. + """ + # Methods that don't have a ticker argument + no_ticker_methods = {"get_global_news"} + if method in no_ticker_methods: + return None + + # First positional arg is the ticker/symbol for all other methods + if args: + return args[0] + + # Check common keyword names + for key in ("symbol", "ticker"): + if key in kwargs: + return kwargs[key] + + return None + + def get_category_for_method(method: str) -> str: """Get the category that contains the specified method.""" for category, info in TOOLS_CATEGORIES.items(): @@ -132,7 +162,30 @@ def get_vendor(category: str, method: str = None) -> str: return config.get("data_vendors", {}).get(category, "default") def route_to_vendor(method: str, *args, **kwargs): - """Route method calls to appropriate vendor implementation with fallback support.""" + """Route method calls to appropriate vendor implementation with fallback support. + + First checks if the ticker belongs to a registered non-US market (VN, TH, etc.). + If so, delegates directly to that market's provider. Otherwise, uses the + existing vendor routing (yfinance/alpha_vantage). + """ + # --- Market provider check --- + ticker = _extract_ticker(method, args, kwargs) + market_code = None + + if ticker: + market_code = market_registry.detect_market(ticker) + elif method == "get_global_news": + # For global news with no ticker, check config for explicit market + config = get_config() + market_setting = config.get("market", "auto") + if market_setting not in ("auto", "US"): + market_code = market_setting + + # If a market provider handles this method, delegate to it + if market_code and method in MARKET_METHOD_MAP: + return market_registry.call_market_method(market_code, method, *args, **kwargs) + + # --- Default vendor routing (US / yfinance / alpha_vantage) --- category = get_category_for_method(method) vendor_config = get_vendor(category, method) primary_vendors = [v.strip() for v in vendor_config.split(',')] @@ -159,4 +212,4 @@ def route_to_vendor(method: str, *args, **kwargs): except AlphaVantageRateLimitError: continue # Only rate limits trigger fallback - raise RuntimeError(f"No available vendor for '{method}'") \ No newline at end of file + raise RuntimeError(f"No available vendor for '{method}'") diff --git a/tradingagents/dataflows/market_registry.py b/tradingagents/dataflows/market_registry.py new file mode 100644 index 00000000..7f7aa17b --- /dev/null +++ b/tradingagents/dataflows/market_registry.py @@ -0,0 +1,186 @@ +""" +Market provider registry for extensible multi-market support. + +Each market (VN, TH, JP, etc.) implements MarketProvider and registers +itself via the MarketRegistry. The routing layer in interface.py checks +the registry before falling back to the default US vendors. +""" + +from abc import ABC, abstractmethod +import json +import os +import time +from typing import Optional + + +class MarketProvider(ABC): + """Base class for market-specific data providers.""" + + market_code: str = "" + market_name: str = "" + currency: str = "" + + @abstractmethod + def get_listed_tickers(self) -> set: + """Return all valid ticker symbols for this market.""" + ... + + @abstractmethod + def get_stock_data(self, symbol: str, start_date: str, end_date: str) -> str: + ... + + @abstractmethod + def get_indicators(self, symbol: str, indicator: str, curr_date: str, look_back_days: int) -> str: + ... + + @abstractmethod + def get_fundamentals(self, ticker: str, curr_date: str = None) -> str: + ... + + @abstractmethod + def get_balance_sheet(self, ticker: str, freq: str = "quarterly", curr_date: str = None) -> str: + ... + + @abstractmethod + def get_cashflow(self, ticker: str, freq: str = "quarterly", curr_date: str = None) -> str: + ... + + @abstractmethod + def get_income_statement(self, ticker: str, freq: str = "quarterly", curr_date: str = None) -> str: + ... + + @abstractmethod + def get_insider_transactions(self, ticker: str) -> str: + ... + + @abstractmethod + def get_news(self, ticker: str, start_date: str, end_date: str) -> str: + ... + + @abstractmethod + def get_global_news(self, curr_date: str, look_back_days: int = 7, limit: int = 10) -> str: + ... + + def get_market_context(self) -> str: + """Return market-specific context string for agent prompts.""" + return "" + + +# Method name -> MarketProvider method mapping +MARKET_METHOD_MAP = { + "get_stock_data": "get_stock_data", + "get_indicators": "get_indicators", + "get_fundamentals": "get_fundamentals", + "get_balance_sheet": "get_balance_sheet", + "get_cashflow": "get_cashflow", + "get_income_statement": "get_income_statement", + "get_insider_transactions": "get_insider_transactions", + "get_news": "get_news", + "get_global_news": "get_global_news", +} + + +class MarketRegistry: + """Registry of all available market providers with ticker auto-detection.""" + + _instance = None + + def __new__(cls): + if cls._instance is None: + cls._instance = super().__new__(cls) + cls._instance._providers = {} + cls._instance._ticker_to_market = {} + cls._instance._initialized = False + return cls._instance + + def register(self, provider: MarketProvider): + """Register a market provider.""" + self._providers[provider.market_code] = provider + + def _ensure_tickers_loaded(self): + """Lazy-load ticker lists from all registered providers.""" + if self._initialized: + return + + from .config import get_config + config = get_config() + cache_dir = config.get("data_cache_dir", "data") + os.makedirs(cache_dir, exist_ok=True) + + for code, provider in self._providers.items(): + cache_file = os.path.join(cache_dir, f"market_tickers_{code}.json") + tickers = None + + # Try loading from cache (24h TTL) + if os.path.exists(cache_file): + try: + with open(cache_file, "r") as f: + cached = json.load(f) + if time.time() - cached.get("timestamp", 0) < 86400: + tickers = set(cached["tickers"]) + except (json.JSONDecodeError, KeyError): + pass + + # Fetch fresh if cache miss or expired + if tickers is None: + try: + tickers = provider.get_listed_tickers() + with open(cache_file, "w") as f: + json.dump({ + "timestamp": time.time(), + "market": code, + "tickers": list(tickers), + }, f) + except Exception as e: + print(f"Warning: Could not load tickers for market {code}: {e}") + tickers = set() + + for ticker in tickers: + self._ticker_to_market[ticker.upper()] = code + + self._initialized = True + + def detect_market(self, ticker: str) -> Optional[str]: + """Detect which market a ticker belongs to. Returns market code or None.""" + if not ticker: + return None + + # Check config for explicit market override + from .config import get_config + config = get_config() + market = config.get("market", "auto") + if market not in ("auto", "US") and market in self._providers: + return market + + self._ensure_tickers_loaded() + return self._ticker_to_market.get(ticker.upper()) + + def get_provider(self, market_code: str) -> Optional[MarketProvider]: + """Get a market provider by its code.""" + return self._providers.get(market_code) + + def get_all_providers(self) -> dict: + """Return all registered providers.""" + return dict(self._providers) + + def call_market_method(self, market_code: str, method: str, *args, **kwargs): + """Call a method on the appropriate market provider.""" + provider = self.get_provider(market_code) + if provider is None: + raise ValueError(f"No provider registered for market '{market_code}'") + + provider_method_name = MARKET_METHOD_MAP.get(method) + if provider_method_name is None: + raise ValueError(f"Method '{method}' not mapped to any market provider method") + + provider_method = getattr(provider, provider_method_name) + return provider_method(*args, **kwargs) + + @classmethod + def reset(cls): + """Reset the singleton (useful for testing).""" + cls._instance = None + + +# Global registry instance +registry = MarketRegistry() diff --git a/tradingagents/dataflows/markets/__init__.py b/tradingagents/dataflows/markets/__init__.py new file mode 100644 index 00000000..bc39674b --- /dev/null +++ b/tradingagents/dataflows/markets/__init__.py @@ -0,0 +1,32 @@ +""" +Auto-discovery and registration of market providers. + +Each market subdirectory (vn/, th/, etc.) should export a `provider` instance +that is a subclass of MarketProvider. This module auto-discovers and registers them. +""" + +import importlib +import pkgutil +from pathlib import Path + +from ..market_registry import registry + + +def _discover_and_register(): + """Discover all market provider modules and register them.""" + package_dir = Path(__file__).parent + + for module_info in pkgutil.iter_modules([str(package_dir)]): + if not module_info.ispkg: + continue + + try: + module = importlib.import_module(f".{module_info.name}", package=__name__) + provider = getattr(module, "provider", None) + if provider is not None: + registry.register(provider) + except Exception as e: + print(f"Warning: Could not load market provider '{module_info.name}': {e}") + + +_discover_and_register() diff --git a/tradingagents/dataflows/markets/vn/__init__.py b/tradingagents/dataflows/markets/vn/__init__.py new file mode 100644 index 00000000..70d34e55 --- /dev/null +++ b/tradingagents/dataflows/markets/vn/__init__.py @@ -0,0 +1,5 @@ +"""Vietnam (VN) stock market provider.""" + +from .provider import VNMarketProvider + +provider = VNMarketProvider() diff --git a/tradingagents/dataflows/markets/vn/config.py b/tradingagents/dataflows/markets/vn/config.py new file mode 100644 index 00000000..99df043b --- /dev/null +++ b/tradingagents/dataflows/markets/vn/config.py @@ -0,0 +1,29 @@ +"""Vietnam stock market constants and configuration.""" + +MARKET_CODE = "VN" +MARKET_NAME = "Vietnam" +CURRENCY = "VND" +TIMEZONE = "Asia/Ho_Chi_Minh" # UTC+7 +TRADING_HOURS = "9:00-11:30, 13:00-15:00" +EXCHANGES = ["HOSE", "HNX", "UPCOM"] +PRICE_BANDS = {"HOSE": 7, "HNX": 10, "UPCOM": 15} # percent +SETTLEMENT = "T+2" +DEFAULT_SOURCE = "VCI" # Options: "VCI", "TCBS", "SSI" + +# VnExpress RSS feed URLs (primary news source) +VNEXPRESS_RSS_URLS = [ + "https://vnexpress.net/rss/kinh-doanh.rss", +] + +MARKET_CONTEXT = ( + "Vietnam (VN) market context: " + "Exchanges: HOSE (Ho Chi Minh), HNX (Hanoi), UPCOM. " + f"Trading hours: {TRADING_HOURS} (UTC+7). " + "Price band limits: HOSE +/-7%, HNX +/-10%, UPCOM +/-15%. " + f"Settlement: {SETTLEMENT}. " + "Currency: VND. " + "Key considerations: Foreign ownership limits apply to many stocks, " + "SBV (State Bank of Vietnam) monetary policy impacts market sentiment, " + "VND/USD exchange rate trends are important for foreign investors, " + "VN30 index tracks the 30 largest HOSE-listed companies." +) diff --git a/tradingagents/dataflows/markets/vn/news.py b/tradingagents/dataflows/markets/vn/news.py new file mode 100644 index 00000000..9bb9219d --- /dev/null +++ b/tradingagents/dataflows/markets/vn/news.py @@ -0,0 +1,203 @@ +"""Vietnam news provider using vnstock and VnExpress RSS.""" + +import feedparser +import requests +from datetime import datetime +from dateutil.relativedelta import relativedelta + +from . import config as vn_config + +_RSS_HEADERS = { + "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" +} + + +def _parse_rss_articles(feed_url: str, limit: int = 20) -> list: + """Parse articles from an RSS feed URL using requests for proper headers.""" + articles = [] + try: + resp = requests.get(feed_url, headers=_RSS_HEADERS, timeout=10) + if resp.status_code != 200: + return articles + + feed = feedparser.parse(resp.text) + for entry in feed.entries[:limit]: + pub_date = None + if hasattr(entry, "published_parsed") and entry.published_parsed: + try: + pub_date = datetime(*entry.published_parsed[:6]) + except Exception: + pass + + articles.append({ + "title": entry.get("title", "No title"), + "summary": entry.get("summary", ""), + "link": entry.get("link", ""), + "publisher": feed.feed.get("title", "VnExpress"), + "pub_date": pub_date, + }) + except Exception as e: + print(f"Warning: Could not parse RSS feed {feed_url}: {e}") + + return articles + + +def _get_vnstock_news(ticker: str, source: str = "VCI") -> list: + """Fetch news from vnstock company.news() API.""" + articles = [] + try: + from vnstock import Vnstock + stock = Vnstock().stock(symbol=ticker.upper(), source=source) + news_df = stock.company.news() + + if news_df is not None and not news_df.empty: + for _, row in news_df.iterrows(): + pub_date = None + date_str = row.get("public_date") or row.get("created_at") + if date_str: + try: + pub_date = datetime.fromisoformat(str(date_str).replace("Z", "+00:00")) + pub_date = pub_date.replace(tzinfo=None) + except (ValueError, AttributeError): + pass + + articles.append({ + "title": row.get("news_title", "No title"), + "summary": row.get("news_short_content", ""), + "link": row.get("news_source_link", ""), + "publisher": "vnstock", + "pub_date": pub_date, + }) + except Exception as e: + print(f"Warning: vnstock news fetch failed for {ticker}: {e}") + + return articles + + +def _filter_by_date(articles: list, start_dt: datetime, end_dt: datetime) -> list: + """Filter articles by date range.""" + filtered = [] + for article in articles: + if article["pub_date"]: + pub = article["pub_date"] + if isinstance(pub, datetime) and not (start_dt <= pub <= end_dt + relativedelta(days=1)): + continue + filtered.append(article) + return filtered + + +def _strip_html(text: str) -> str: + """Strip HTML tags from text.""" + try: + from parsel import Selector + sel = Selector(text=text) + clean = sel.css("::text").getall() + return " ".join(clean) if clean else text + except ImportError: + import re + return re.sub(r"<[^>]+>", "", text) + + +def _format_articles(articles: list, header: str) -> str: + """Format articles into the standard output string.""" + if not articles: + return header + "No articles found.\n" + + news_str = "" + seen_titles = set() + for article in articles: + title = article["title"] + if title in seen_titles: + continue + seen_titles.add(title) + + news_str += f"### {title} (source: {article['publisher']})\n" + if article.get("summary"): + summary = _strip_html(article["summary"]) + news_str += f"{summary}\n" + if article.get("link"): + news_str += f"Link: {article['link']}\n" + news_str += "\n" + + return header + news_str + + +def get_news_vn( + ticker: str, + start_date: str, + end_date: str, + source: str = "VCI", +) -> str: + """ + Retrieve news for a VN stock ticker. + + Priority chain: + 1. vnstock company.news() API + 2. VnExpress RSS filtered by ticker keyword + """ + start_dt = datetime.strptime(start_date, "%Y-%m-%d") + end_dt = datetime.strptime(end_date, "%Y-%m-%d") + all_articles = [] + + # 1. Try vnstock built-in news + vnstock_articles = _get_vnstock_news(ticker, source=source) + all_articles.extend(vnstock_articles) + + # 2. Try VnExpress RSS filtered by ticker + for url in vn_config.VNEXPRESS_RSS_URLS: + rss_articles = _parse_rss_articles(url, limit=30) + ticker_upper = ticker.upper() + for article in rss_articles: + title_upper = article["title"].upper() + summary_upper = article.get("summary", "").upper() + if ticker_upper in title_upper or ticker_upper in summary_upper: + all_articles.append(article) + + # Filter by date range + all_articles = _filter_by_date(all_articles, start_dt, end_dt) + + if not all_articles: + return f"No news found for {ticker} between {start_date} and {end_date}" + + header = f"## {ticker} News (Vietnam Market), from {start_date} to {end_date}:\n\n" + return _format_articles(all_articles, header) + + +def get_global_news_vn( + curr_date: str, + look_back_days: int = 7, + limit: int = 10, +) -> str: + """ + Retrieve global/macro Vietnam market news from VnExpress RSS. + """ + curr_dt = datetime.strptime(curr_date, "%Y-%m-%d") + start_dt = curr_dt - relativedelta(days=look_back_days) + start_date = start_dt.strftime("%Y-%m-%d") + + all_articles = [] + seen_titles = set() + + # Fetch from VnExpress RSS + for url in vn_config.VNEXPRESS_RSS_URLS: + rss_articles = _parse_rss_articles(url, limit=limit * 2) + for article in rss_articles: + title = article["title"] + if title not in seen_titles: + seen_titles.add(title) + all_articles.append(article) + + if len(all_articles) >= limit: + break + + # Filter by date range + all_articles = _filter_by_date(all_articles, start_dt, curr_dt) + + # Limit results + all_articles = all_articles[:limit] + + if not all_articles: + return f"No Vietnam market news found for {curr_date}" + + header = f"## Vietnam Market News, from {start_date} to {curr_date}:\n\n" + return _format_articles(all_articles, header) diff --git a/tradingagents/dataflows/markets/vn/provider.py b/tradingagents/dataflows/markets/vn/provider.py new file mode 100644 index 00000000..a62588c6 --- /dev/null +++ b/tradingagents/dataflows/markets/vn/provider.py @@ -0,0 +1,314 @@ +"""Vietnam stock market data provider using vnstock library.""" + +import os +import pandas as pd +from datetime import datetime +from dateutil.relativedelta import relativedelta +from stockstats import wrap + +from ...market_registry import MarketProvider +from . import config as vn_config + + +class VNMarketProvider(MarketProvider): + market_code = vn_config.MARKET_CODE + market_name = vn_config.MARKET_NAME + currency = vn_config.CURRENCY + + def _get_source(self): + from ...config import get_config + cfg = get_config() + return cfg.get("market_config", {}).get("VN", {}).get( + "vnstock_source", vn_config.DEFAULT_SOURCE + ) + + def _get_cache_dir(self): + from ...config import get_config + cfg = get_config() + cache_dir = cfg.get("data_cache_dir", "data") + os.makedirs(cache_dir, exist_ok=True) + return cache_dir + + def _create_stock(self, symbol): + from vnstock import Vnstock + return Vnstock().stock(symbol=symbol.upper(), source=self._get_source()) + + def get_listed_tickers(self) -> set: + """Fetch all listed tickers from HOSE/HNX/UPCOM.""" + from vnstock import Vnstock + stock = Vnstock().stock(symbol="VCB", source=self._get_source()) + df = stock.listing.all_symbols() + return set(df["symbol"].str.upper().tolist()) + + def get_stock_data(self, symbol: str, start_date: str, end_date: str) -> str: + """Fetch OHLCV data for a VN stock.""" + try: + datetime.strptime(start_date, "%Y-%m-%d") + datetime.strptime(end_date, "%Y-%m-%d") + + stock = self._create_stock(symbol) + data = stock.quote.history(start=start_date, end=end_date) + + if data is None or data.empty: + return f"No data found for symbol '{symbol}' between {start_date} and {end_date}" + + # Rename columns to match yfinance output format + column_map = { + "time": "Date", + "open": "Open", + "high": "High", + "low": "Low", + "close": "Close", + "volume": "Volume", + } + data = data.rename(columns=column_map) + + # Round numerical values + for col in ["Open", "High", "Low", "Close"]: + if col in data.columns: + data[col] = data[col].round(2) + + # Set Date as index for CSV output matching yfinance format + if "Date" in data.columns: + data = data.set_index("Date") + + csv_string = data.to_csv() + + header = f"# Stock data for {symbol.upper()} from {start_date} to {end_date}\n" + header += f"# Market: Vietnam ({self.currency})\n" + header += f"# Total records: {len(data)}\n" + header += f"# Data retrieved on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n" + + return header + csv_string + + except Exception as e: + return f"Error fetching VN stock data for {symbol}: {str(e)}" + + def get_indicators(self, symbol: str, indicator: str, curr_date: str, look_back_days: int) -> str: + """Calculate technical indicators using stockstats on vnstock OHLCV data.""" + best_ind_params = { + "close_50_sma": "50 SMA: Medium-term trend indicator.", + "close_200_sma": "200 SMA: Long-term trend benchmark.", + "close_10_ema": "10 EMA: Responsive short-term average.", + "macd": "MACD: Momentum via differences of EMAs.", + "macds": "MACD Signal: EMA smoothing of MACD line.", + "macdh": "MACD Histogram: Gap between MACD and signal.", + "rsi": "RSI: Overbought/oversold momentum indicator.", + "boll": "Bollinger Middle: 20 SMA basis for Bollinger Bands.", + "boll_ub": "Bollinger Upper Band: 2 std dev above middle.", + "boll_lb": "Bollinger Lower Band: 2 std dev below middle.", + "atr": "ATR: Average true range volatility measure.", + "vwma": "VWMA: Volume-weighted moving average.", + "mfi": "MFI: Money Flow Index using price and volume.", + } + + if indicator not in best_ind_params: + raise ValueError( + f"Indicator {indicator} is not supported. Choose from: {list(best_ind_params.keys())}" + ) + + try: + curr_date_dt = datetime.strptime(curr_date, "%Y-%m-%d") + before = curr_date_dt - relativedelta(days=look_back_days) + + # Fetch historical data for indicator calculation (need enough history) + cache_dir = self._get_cache_dir() + today_date = pd.Timestamp.today() + start_date = today_date - pd.DateOffset(years=5) + start_date_str = start_date.strftime("%Y-%m-%d") + end_date_str = today_date.strftime("%Y-%m-%d") + + cache_file = os.path.join( + cache_dir, f"{symbol.upper()}-VN-data-{start_date_str}-{end_date_str}.csv" + ) + + if os.path.exists(cache_file): + data = pd.read_csv(cache_file) + data["Date"] = pd.to_datetime(data["Date"]) + else: + stock = self._create_stock(symbol) + raw = stock.quote.history(start=start_date_str, end=end_date_str) + if raw is None or raw.empty: + return f"No data found for {symbol} to calculate indicators" + + # Normalize column names for stockstats + data = raw.rename(columns={ + "time": "Date", "open": "Open", "high": "High", + "low": "Low", "close": "Close", "volume": "Volume", + }) + data.to_csv(cache_file, index=False) + + df = wrap(data) + df["Date"] = df["Date"].dt.strftime("%Y-%m-%d") + + # Calculate indicator + df[indicator] + + # Build result for the requested date range + date_values = [] + current_dt = curr_date_dt + while current_dt >= before: + date_str = current_dt.strftime("%Y-%m-%d") + matching = df[df["Date"] == date_str] + if not matching.empty: + val = matching[indicator].values[0] + if pd.isna(val): + date_values.append((date_str, "N/A")) + else: + date_values.append((date_str, str(val))) + else: + date_values.append((date_str, "N/A: Not a trading day (weekend or holiday)")) + current_dt = current_dt - relativedelta(days=1) + + ind_string = "".join(f"{d}: {v}\n" for d, v in date_values) + + return ( + f"## {indicator} values from {before.strftime('%Y-%m-%d')} to {curr_date}:\n" + f"## Market: Vietnam ({self.currency})\n\n" + + ind_string + "\n\n" + + best_ind_params.get(indicator, "") + ) + + except Exception as e: + return f"Error calculating indicators for {symbol}: {str(e)}" + + def get_fundamentals(self, ticker: str, curr_date: str = None) -> str: + """Get company fundamentals overview.""" + try: + stock = self._create_stock(ticker) + + # Get company overview + overview = stock.company.overview() + if overview is None or overview.empty: + return f"No fundamentals data found for {ticker}" + + # Get financial ratios + try: + ratio = stock.finance.ratio(period="quarter") + has_ratio = ratio is not None and not ratio.empty + except Exception: + has_ratio = False + + lines = [ + f"# Company Fundamentals for {ticker.upper()}", + f"# Market: Vietnam ({self.currency})", + f"# Data retrieved on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", + "", + ] + + # Overview fields + row = overview.iloc[0] + for col in overview.columns: + val = row.get(col) + if val is not None and str(val).strip(): + lines.append(f"{col}: {val}") + + # Financial ratios (latest quarter) + if has_ratio: + lines.append("") + lines.append("## Financial Ratios (Latest Quarter)") + latest = ratio.iloc[0] + if isinstance(ratio.columns, pd.MultiIndex): + for col in ratio.columns: + label = col[-1] if isinstance(col, tuple) else col + val = latest[col] + if val is not None and str(val).strip() and label not in ("ticker", "yearReport", "lengthReport"): + lines.append(f"{label}: {val}") + else: + for col in ratio.columns: + val = latest[col] + if val is not None and str(val).strip() and col not in ("ticker", "yearReport", "lengthReport"): + lines.append(f"{col}: {val}") + + return "\n".join(lines) + + except Exception as e: + return f"Error retrieving fundamentals for {ticker}: {str(e)}" + + def get_balance_sheet(self, ticker: str, freq: str = "quarterly", curr_date: str = None) -> str: + """Get balance sheet data.""" + try: + stock = self._create_stock(ticker) + period = "quarter" if freq.lower() == "quarterly" else "year" + data = stock.finance.balance_sheet(period=period) + + if data is None or data.empty: + return f"No balance sheet data found for {ticker}" + + csv_string = data.to_csv(index=False) + header = f"# Balance Sheet for {ticker.upper()} ({freq})\n" + header += f"# Market: Vietnam ({self.currency})\n" + header += f"# Data retrieved on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n" + return header + csv_string + + except Exception as e: + return f"Error retrieving balance sheet for {ticker}: {str(e)}" + + def get_cashflow(self, ticker: str, freq: str = "quarterly", curr_date: str = None) -> str: + """Get cash flow data.""" + try: + stock = self._create_stock(ticker) + period = "quarter" if freq.lower() == "quarterly" else "year" + data = stock.finance.cash_flow(period=period) + + if data is None or data.empty: + return f"No cash flow data found for {ticker}" + + csv_string = data.to_csv(index=False) + header = f"# Cash Flow for {ticker.upper()} ({freq})\n" + header += f"# Market: Vietnam ({self.currency})\n" + header += f"# Data retrieved on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n" + return header + csv_string + + except Exception as e: + return f"Error retrieving cash flow for {ticker}: {str(e)}" + + def get_income_statement(self, ticker: str, freq: str = "quarterly", curr_date: str = None) -> str: + """Get income statement data.""" + try: + stock = self._create_stock(ticker) + period = "quarter" if freq.lower() == "quarterly" else "year" + data = stock.finance.income_statement(period=period) + + if data is None or data.empty: + return f"No income statement data found for {ticker}" + + csv_string = data.to_csv(index=False) + header = f"# Income Statement for {ticker.upper()} ({freq})\n" + header += f"# Market: Vietnam ({self.currency})\n" + header += f"# Data retrieved on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n" + return header + csv_string + + except Exception as e: + return f"Error retrieving income statement for {ticker}: {str(e)}" + + def get_insider_transactions(self, ticker: str) -> str: + """Get insider transaction data.""" + try: + stock = self._create_stock(ticker) + data = stock.company.insider_deals() + + if data is None or data.empty: + return f"No insider transaction data found for {ticker} on VN market" + + csv_string = data.to_csv(index=False) + header = f"# Insider Transactions for {ticker.upper()}\n" + header += f"# Market: Vietnam ({self.currency})\n" + header += f"# Data retrieved on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n" + return header + csv_string + + except Exception as e: + return f"No insider transaction data available for {ticker} on VN market" + + def get_news(self, ticker: str, start_date: str, end_date: str) -> str: + """Get news for a VN stock ticker. Delegates to news module.""" + from .news import get_news_vn + return get_news_vn(ticker, start_date, end_date, source=self._get_source()) + + def get_global_news(self, curr_date: str, look_back_days: int = 7, limit: int = 10) -> str: + """Get global/macro VN market news. Delegates to news module.""" + from .news import get_global_news_vn + return get_global_news_vn(curr_date, look_back_days, limit) + + def get_market_context(self) -> str: + return vn_config.MARKET_CONTEXT diff --git a/tradingagents/default_config.py b/tradingagents/default_config.py index ecf0dc29..18190336 100644 --- a/tradingagents/default_config.py +++ b/tradingagents/default_config.py @@ -19,6 +19,15 @@ DEFAULT_CONFIG = { "max_debate_rounds": 1, "max_risk_discuss_rounds": 1, "max_recur_limit": 100, + # Market configuration + "market": "auto", # "auto" (detect from ticker), "US", "VN", or future market codes + "market_config": { + "VN": { + "vnstock_source": "VCI", # Options: "VCI", "TCBS", "SSI" + "news_sources": ["cafef", "vnexpress"], + }, + # Future markets: "TH": {...}, "JP": {...} + }, # Data vendor configuration # Category-level configuration (default for all tools in category) "data_vendors": { diff --git a/uv.lock b/uv.lock index 37bddf36..386b4b20 100644 --- a/uv.lock +++ 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