Return top gainers for an exchange and timeframe using Bollinger Band analysis.

Args: exchange: Exchange name — crypto: KUCOIN, BINANCE, BYBIT, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, BURSA, HKEX, SSE, SZSE, TWSE, TPEX timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M limit: Number of rows to return (max 50)

Returns: list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}} — never a raw exception string.

Return top losers for an exchange and timeframe. Supports crypto (KUCOIN, BINANCE, MEXC) and stocks (EGX, BIST, NASDAQ).

Returns list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}.

Scan for assets with low Bollinger Band Width (squeeze detection). Works with crypto and stocks.

This scans a whole EXCHANGE for squeezes (canonical name is exactly bollinger_scan; there is no "get_bollinger_band_analysis" tool). For the Bollinger read of ONE symbol, call coin_analysis instead.

Example: bollinger_scan(exchange="BINANCE", timeframe="15m", bbw_threshold=0.008)

Args: exchange: Exchange — crypto: KUCOIN, BINANCE, BYBIT, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, BURSA, HKEX, SSE, SZSE, TWSE, TPEX timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M. Typical squeeze thresholds: 15m→0.008, 1h→0.02, 4h→0.04, 1D→0.12 bbw_threshold: Maximum BBW value to filter (default 0.04) limit: Number of rows to return (max 100)

Returns list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}.

Filter coins by Bollinger Band rating.

Args: exchange: Exchange name like KUCOIN, BINANCE, BYBIT, MEXC, etc. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M rating: BB rating (-3 to +3): -3=Strong Sell, -2=Sell, -1=Weak Sell, 1=Weak Buy, 2=Buy, 3=Strong Buy limit: Number of rows to return (max 50)

Returns list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}.

Get detailed analysis for a specific asset (coin or stock) on specified exchange and timeframe.

This is the canonical single-symbol technical readout (there is no "get_technical_analysis" or "get_technical_summary" tool — use THIS one). Use multi_timeframe_analysis instead when you need trend alignment across several timeframes, and combined_analysis when you also want news sentiment + headlines in the same call.

Example: coin_analysis(symbol="BTCUSDT", exchange="BINANCE", timeframe="1h")

Args: symbol: Bare ticker, no exchange prefix — crypto: "BTCUSDT", "ETHUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX) exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, BURSA, HKEX, SSE, SZSE, TWSE, TPEX. If the symbol isn't listed there, the error's listed_on field names exchanges that do list it. timeframe: Time interval (5m, 15m, 1h, 4h, 1D, 1W, 1M)

Returns: Detailed analysis with all indicators and metrics

Scan for coins with consecutive growing/shrinking candles pattern.

Args: exchange: Exchange name (BINANCE, KUCOIN, etc.) timeframe: Time interval (5m, 15m, 1h, 4h) pattern_type: "bullish" (growing candles) or "bearish" (shrinking candles) candle_count: Number of consecutive candles to check (2-5) min_growth: Minimum growth percentage for each candle limit: Maximum number of results to return

Advanced candle pattern analysis using multi-timeframe data.

Args: exchange: Exchange name (BINANCE, KUCOIN, etc.) base_timeframe: Base timeframe for analysis (5m, 15m, 1h, 4h) pattern_length: Number of consecutive periods to analyse (2-4) min_size_increase: Minimum percentage increase in candle size limit: Maximum number of results to return

Detect coins with volume breakout + price breakout.

Args: exchange: Exchange name like KUCOIN, BINANCE, BYBIT, MEXC, etc. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M volume_multiplier: How many times the volume should be above normal level (default 2.0) price_change_min: Minimum price change percentage (default 3.0) limit: Number of rows to return (max 50)

Returns list[dict] on success, or an error envelope on total upstream failure ({"error": {"code": "ALL_BATCHES_FAILED", ...}}). The empty list now strictly means "no matches today"; rate-limit cliffs surface explicitly.

Detailed volume confirmation analysis for a specific coin.

Args: symbol: Coin symbol (e.g., BTCUSDT) exchange: Exchange name timeframe: Time frame for analysis

Smart volume + technical analysis combination scanner.

Args: exchange: Exchange name min_volume_ratio: Minimum volume multiplier (default 2.0) min_price_change: Minimum price change percentage (default 2.0) rsi_range: "oversold" (<30), "overbought" (>70), "neutral" (30-70), "any" limit: Number of results (max 30)

Returns list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}.

Run a multi-agent debate (Technical, Sentiment, Risk) for a specific symbol.

Args: symbol: Symbol — crypto: "BTCUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX), "GDX" (AMEX) exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, AMEX, NYSEARCA, PCX, SSE, SZSE, TWSE, TPEX timeframe: Time interval (5m, 15m, 1h, 4h, 1D, 1W)

Returns: A structured debate between 3 AI agents culminating in a final trading decision.

Get a comprehensive overview of the Egyptian Exchange (EGX) market.

Args: timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D for stocks) limit: Number of stocks per category (max 20)

Scan EGX stocks by sector. Shows available sectors if none specified.

Args: sector: Sector name (banks, healthcare_and_pharma, real_estate, etc.) Leave empty to list all sectors. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M limit: Max results per sector (max 50)

Sector rotation scanner for EGX — identifies hot/cold sectors and top picks.

Args: timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D) top_n_sectors: Number of top sectors to show stock picks for (1-18, default 5) top_n_stocks: Number of top stocks per highlighted sector (1-10, default 3) min_stock_score: Minimum stock score for picks (0-100, default 60)

Analyse an EGX index showing constituent performance with full indicators.

Args: index: EGX30, EGX70, EGX100, SHARIAH33, EGX35LV, TAMAYUZ timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D) limit: Number of stocks to show in detail (max 100)

Production stock ranking engine for EGX — finds strong stocks with actionable setups.

Args: timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D) min_score: Minimum stock score to include (0-100, default 55) index_filter: Filter by index — EGX30, EGX70, EGX100, SHARIAH33, EGX35LV, TAMAYUZ limit: Number of results (max 50)

Generate a full trade plan for a specific EGX stock.

Args: symbol: EGX stock symbol (e.g., "COMI", "TMGH", "FWRY") timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D)

Fibonacci retracement analysis for EGX stocks.

Args: symbol: EGX stock symbol (e.g., "COMI", "TMGH", "FWRY") lookback: Period for swing high/low — "1M", "3M", "6M", "52W", "ALL" (default 52W) timeframe: Analysis timeframe (5m, 15m, 1h, 4h, 1D, 1W, 1M — default 1D)

Multi-timeframe alignment analysis (Weekly → Daily → 4H → 1H → 15m).

Canonical name is exactly multi_timeframe_analysis (there is no "get_multi_timeframe_analysis" tool). Use this for cross-timeframe trend alignment on ONE symbol; for a single-timeframe deep dive use coin_analysis; for TA + sentiment + news use combined_analysis.

Example: multi_timeframe_analysis(symbol="SOLUSDT", exchange="BINANCE")

Args: symbol: Bare ticker, no exchange prefix — crypto: "BTCUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX), "GDX" (AMEX) exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, AMEX, NYSEARCA, PCX, SSE, SZSE, TWSE, TPEX

News sentiment for stocks and crypto (licensed Marketaux entity sentiment).

Args: symbol: Asset symbol ("AAPL", "BTC", "ETH", "TSLA") category: News group to search ("crypto", "stocks", "all") limit: Max articles to analyse

Real-time financial news via Marketaux (licensed).

Args: symbol: Optional symbol filter ("AAPL", "BTC"). None = all news. category: News category ("crypto", "stocks", "all") limit: Max number of news items

POWER TOOL: TradingView technical analysis + news sentiment + financial news.

Use this when you want TA AND sentiment AND news for one symbol in a single call. For indicators only, coin_analysis is faster; for cross-timeframe trend alignment use multi_timeframe_analysis.

Example: combined_analysis(symbol="NVDA", exchange="NASDAQ", timeframe="1D")

Args: symbol: Bare ticker, no exchange prefix ("AAPL", "BTCUSDT", "THYAO", "GDX") exchange: Exchange (NASDAQ, NYSE, AMEX, NYSEARCA, PCX, BINANCE, KUCOIN, MEXC, BIST, EGX, TWSE, TPEX) timeframe: Analysis timeframe (5m, 15m, 1h, 4h, 1D, 1W)

Backtest a trading strategy on historical data with institutional-grade metrics.

Args: symbol: Yahoo Finance symbol (AAPL, BTC-USD, THYAO.IS, ^GSPC) strategy: rsi | bollinger | macd | ema_cross | supertrend | donchian | rsi_pullback | keltner_breakout | triple_ema (rsi_pullback and triple_ema need period >= '1y' for SMA200 warmup) period: '1mo', '3mo', '6mo', '1y', '2y' initial_capital: Starting capital in USD (default $10,000) commission_pct: Per-trade commission % (default 0.1%) slippage_pct: Per-trade slippage % (default 0.05%) interval: '1d' (daily) or '1h' (hourly) include_trade_log: Include full per-trade log (default False) include_equity_curve: Include equity curve data points (default False)

Run all 9 strategies (RSI, Bollinger, MACD, EMA Cross, Supertrend, Donchian, RSI Pullback, Keltner Breakout, Triple EMA) and return a ranked leaderboard.

Args: symbol: Yahoo Finance symbol (AAPL, BTC-USD, SPY…) period: '1mo', '3mo', '6mo', '1y', '2y' (period >= '1y' recommended so rsi_pullback and triple_ema can complete SMA200 warmup; otherwise they contribute zero trades) initial_capital: Starting capital in USD (default $10,000) interval: '1d' (daily) or '1h' (hourly)

Walk-forward backtest to detect overfitting — validates strategy on unseen data.

Args: symbol: Yahoo Finance symbol (AAPL, BTC-USD, SPY…) strategy: rsi | bollinger | macd | ema_cross | supertrend | donchian | keltner_breakout (rsi_pullback and triple_ema not supported here — SMA200 warmup exceeds typical fold size; use run_backtest with period='2y') period: '1mo', '3mo', '6mo', '1y', '2y' (recommend '2y') initial_capital: Starting capital per fold in USD (default $10,000) commission_pct: Per-trade commission % (default 0.1%) slippage_pct: Per-trade slippage % (default 0.05%) n_splits: Number of walk-forward folds (default 3, max 10) train_ratio: Fraction of each fold used for training (default 0.7) interval: '1d' (daily) or '1h' (hourly)

Backtest scalp/day/swing strategies (long AND short) on Binance 1m-1d klines.

Unlike backtest_strategy (Yahoo, 1h/1d, long-only), this simulates real execution: ATR-bracket exits (stop / take-profit / time-stop) checked intrabar against high/low, conservative stop-first fills, and per-side fee + slippage so the round-trip cost hurdle is explicit.

Args: symbol: Binance pair, e.g. BTCUSDT, ETHUSDT, SOLUSDT strategy: squeeze_breakout (Bollinger squeeze → band-break entry) | ema_momentum (EMA 9/21 cross gated by EMA200 side) interval: 1m | 3m | 5m | 15m | 30m | 1h | 4h | 1d (candle size) days: History window, 1-730. Suggested: 5m→14, 15m→30, 1h→90-365, 4h→365-730, 1d→730. (Capped at 30k candles total.) direction: both | long | short rr: Reward:risk ratio for the take-profit bracket (default 1.5) atr_mult: Stop distance in ATR(14) multiples (default 1.0) max_hold_bars: Time-stop — force exit after this many bars (default 60) fee_pct: Fee % per side (default 0.05 = Binance USDT-M futures taker; use 0.02 for maker, 0.1 for spot taker) slippage_pct: Slippage % per side (default 0.02) initial_capital: Starting capital in USD (default $10,000) include_trade_log: Include every trade with direction/exit_reason (default False) regime_filter: Gate signals by higher-timeframe trend — longs only in anchor uptrend, shorts only in downtrend, flat in chop regime_anchor: Symbol whose trend gates trades (default BTCUSDT — the market leader; "self" = the traded pair itself) regime_interval: Anchor timeframe for the regime read (default 4h)

Grid-search bracket parameters (rr × atr_mult) with a stability verdict.

Runs every combination on the same Binance data (candles and signals are computed once) and checks whether the best cell's NEIGHBORS are also profitable — a profitable cell surrounded by losers is noise, not edge. Verdicts: STABLE_CANDIDATE | FRAGILE | NO_EDGE.

Args: symbol: Binance pair, e.g. BTCUSDT strategy: squeeze_breakout | ema_momentum interval: 1m | 3m | 5m | 15m | 30m | 1h | 4h | 1d days: History window, 1-730 (default 180) direction: both | long | short rr_values: Reward:risk grid values (default [1.0, 1.5, 2.0, 3.0], max 8) atr_mult_values: Stop-distance grid in ATR multiples (default [1.0, 1.5, 2.0, 3.0]) max_hold_bars: Time-stop in bars (default 60) fee_pct: Fee % per side (default 0.05) slippage_pct: Slippage % per side (default 0.02) regime_filter: Gate signals by anchor trend (see bracket_backtest) regime_anchor: Anchor symbol (default BTCUSDT; "self" = traded pair) regime_interval: Anchor timeframe (default 4h)

True walk-forward optimization — THE gate a strategy must pass before paper trading.

Splits history into sequential folds. In each fold the best (rr, atr_mult) is picked on the train window, then applied ONLY to the unseen test window; positions are force-closed at segment boundaries so nothing leaks. The aggregated out-of-sample result is the honest estimate of live behaviour. Verdicts: PASSED | MIXED | OVERFIT | NO_EDGE, plus parameter-stability (do folds keep choosing the same parameters?).

Args: symbol: Binance pair, e.g. BTCUSDT strategy: squeeze_breakout | ema_momentum interval: 1m | 3m | 5m | 15m | 30m | 1h | 4h | 1d days: History window, 1-730 (default 365; use ≥180 for 1h) direction: both | long | short n_splits: Number of sequential folds, 2-10 (default 4) train_ratio: Train fraction per fold, 0.5-0.9 (default 0.7) rr_values: Reward:risk grid (default [1.0, 1.5, 2.0, 3.0], max 8) atr_mult_values: Stop-distance grid in ATR multiples (default [1.0, 1.5, 2.0, 3.0]) min_trades: Minimum train trades for a combo to be eligible (default 5) max_hold_bars: Time-stop in bars (default 60) fee_pct: Fee % per side (default 0.05) slippage_pct: Slippage % per side (default 0.02) regime_filter: Gate signals by anchor trend (see bracket_backtest) regime_anchor: Anchor symbol (default BTCUSDT; "self" = traded pair) regime_interval: Anchor timeframe (default 4h)

Create or wipe the paper-trading account (fake money, real Binance data).

Defaults to the two walk-forward-validated strategies: BTC squeeze-breakout 1h (ungated) and ETH squeeze-breakout 1h (regime-gated by BTC 4h trend). Refuses to overwrite an existing account unless confirm=true.

Args: confirm: Required true to wipe an existing account initial_capital: Starting fake capital in USD (default $10,000) risk_pct_per_trade: % of capital risked per trade via ATR sizing (default 1.0) daily_loss_halt_pct: Realized daily loss % that halts new entries until the next UTC day (default 3.0) max_drawdown_kill_pct: Drawdown from peak that freezes the account until manual reset (default 15.0) fee_pct: Fee % per side (default 0.05) slippage_pct: Slippage % per side (default 0.02) strategies: Optional custom strategy list; each item needs id, symbol, strategy, interval, and may set direction, rr, atr_mult, max_hold_bars, regime_filter, regime_anchor, regime_interval

Advance the paper trader one tick against live Binance data.

Processes every candle that CLOSED since the last step (safe to call any time; catches up after downtime; ignores the in-progress candle). Manages open positions with the same stop-first bracket semantics as the backtester, then takes new entries if a signal fired and the regime gate, daily-loss halt, and kill switch all allow. Returns the events that happened this tick plus the account snapshot.

Call this hourly (the strategies run on 1h candles) — or run the daemon: python -m tradingview_mcp.core.services.paper_trader_service --loop 3600

Paper-trading account report: capital, PnL, drawdown, risk-rule state, per-strategy win rates, open positions, and the last 10 trades.

Current market regime (trend up/down/chop + volatility) for an anchor symbol.

The same classification that regime_filter applies bar-by-bar inside the bracket backtests: EMA50/EMA200 ratio with a dead-band for trend, ATR% vs its own past median for volatility. Reports which trade directions the gate currently allows, recent regime transitions, and a 30-bar trend histogram.

Args: symbol: Binance pair to classify (default BTCUSDT — the market leader) interval: Timeframe for the regime read (default 4h) days: History window, 1-730 (default 180; needs enough for EMA200 warmup)

Real-time price quote from Yahoo Finance for any stock, crypto, ETF or index.

Args: symbol: Yahoo Finance symbol — e.g. AAPL, BTC-USD, SPY, ^GSPC, EURUSD=X, THYAO.IS

Global market overview: major indices, top crypto, FX rates, and key ETFs. Powered by Yahoo Finance.

Single-call BTC macro context: price, dominance, total market cap + risk assessment.

Use this WHENEVER analyzing any cryptocurrency (altcoin or BTC itself) to get the broader market frame in one shot. A SOL/ETH/whatever setup looks very different when BTC is dumping with rising dominance vs. when alts are leading. Calling this once gives Claude the macro context to provide Bitcoin-aware commentary alongside the per-coin analysis - without chaining 2-3 separate yahoo_price + manual reasoning calls.

Returns:

• bitcoin: price, 24h change %, volume, market cap

• dominance: BTC and ETH market-cap share of total crypto

• total_market: total crypto mcap + 24h change + active coin count

• assessment: label (HIGH_RISK / ALT_RISK / ALT_FAVORABLE / OPPORTUNITY_WITH_CAUTION / NEUTRAL) + 1-paragraph reasoning

Real-time pre-market and after-hours prices for a US stock symbol.

Use this when the user asks about a stock outside the regular 9:30am-4pm ET session — earnings reactions, overnight news, "what is X doing in after-hours?", "how did Y open in pre-market?". Returns the most recent valid print from each session window (pre-market, regular, post-market) along with computed % changes vs. the previous close and the regular close, respectively.

During the regular session, post_market will be null (no data yet). On weekends/holidays, returns whatever's most recent in each window.

Args: symbol: US stock symbol — AAPL, NVDA, TSLA, SPY, ^GSPC, etc.

Returns: - pre_market: {price, as_of_utc, change_vs_previous_close_pct} or null - regular: {price, as_of_utc, change_pct} (consolidated tape close) - post_market: {price, as_of_utc, change_vs_regular_close_pct} or null - previous_close, currency, exchange, market_state for context

Full options chain (calls + puts) for a US stock symbol and one expiry.

Use this when the user asks "what's the options chain for X?", "show me AAPL puts expiring next Friday", or wants to inspect bid/ask/IV/volume on a specific strike. If no expiry is provided, returns the nearest expiry so Claude can quote it back and ask "want a different one?".

Args: symbol: US stock symbol — AAPL, NVDA, TSLA, SPY, etc. expiry: Optional ISO date (YYYY-MM-DD). Must match one of the available_expiries Yahoo returns; otherwise returns an error with the list of valid dates.

Returns: - underlying_price, underlying_change_pct - requested_expiry, available_expiries (list of YYYY-MM-DD) - call_count, put_count - calls: list of {strike, last_price, bid, ask, volume, open_interest, implied_volatility, in_the_money, expiration} - puts: same shape as calls

Top strikes by volume / open-interest ratio — institutional positioning signal.

Use this when the user asks "any unusual options activity on X?", "where is the smart money positioned on NVDA before earnings?", or wants a V/OI screener for a ticker. A V/OI ratio > 1 means today's volume already exceeds standing open interest, which classically flags fresh institutional positioning on a specific strike in a specific direction (call vs put).

Scans the soonest few expirations, filters out illiquid strikes (under min_volume), and returns the top-N sorted by V/OI descending. Also returns aggregate call vs put volume so Claude can comment on the overall directional bias.

Args: symbol: US stock symbol — AAPL, NVDA, TSLA, SPY, META, etc. top_n: How many strikes to return. Default 10. min_volume: Filter floor for today's volume — prevents noise from illiquid strikes with high V/OI ratios. Default 100. expiries: Number of soonest expirations to scan. Default 4 (typically covers ~1 month of weeklies + monthlies).

Returns: - underlying_price - expiries_scanned (list of YYYY-MM-DD) - total_call_volume, total_put_volume, put_call_volume_ratio - unusual: list of top-N contracts sorted by V/OI desc, each with {strike, side (call|put), expiration, volume, open_interest, v_oi_ratio, last_price, implied_volatility, in_the_money, strike_vs_spot_pct (moneyness)}

Top futures contracts sorted by trading volume.

Args: category: all | equity_index | energy | metals | agriculture | rates | forex | crypto_futures exchanges: us (CME, COMEX, NYMEX, CBOT) | global (adds ICE, EUREX) limit: max contracts to return (default 30) volume_min: minimum volume filter (0 = no filter)

Returns: Dict with total_available count and list of contracts with OHLCV + % change.

Futures contracts with the biggest percentage moves today.

Args: direction: gainers | losers exchanges: us | global limit: max results volume_min: minimum volume filter (default 10, filters illiquid contracts)

Returns: List of futures ranked by % change with OHLCV data.

Quote all major front-month contracts in a specific futures category.

Args: category: equity_index | energy | metals | agriculture | rates | forex | crypto_futures

Returns: OHLCV quotes for the standard watchlist of contracts in that category. Example symbols: ES1! NQ1! (equity_index), CL1! NG1! (energy), GC1! SI1! (metals).

Return the full categorized list of well-known front-month futures symbols.

Categories: equity_index, energy, metals, agriculture, rates, forex, crypto_futures. Use these symbols with futures_category_snapshot or coin_analysis for deeper analysis.

Screen stocks by share type — the API twin of TradingView's "Common stock" / "Preferred stock" symbol-search filter.

Args: country: TradingView market name — e.g. america, korea, germany, brazil, japan, uk, india, turkey, canada, australia, france, hongkong stock_type: common | preferred limit: rows to return (max 2000, single upstream request), ranked by market cap descending exclude_otc: default True — drop OTC listings (foreign companies traded over-the-counter); "america" otherwise means "US venue", not "US company" compact: default False — True returns only ticker/symbol/price/currency/ change_percent per row (light payload for bulk price feeds) sort_by: market_cap (default) | dividend_yield | change | price — server-side descending sort over the WHOLE market, so e.g. sort_by=dividend_yield with limit=20 is the market's true top-20 dividend payers, not just the biggest companies re-sorted

Returns: Envelope dict: total_matches (market-wide count), returned, and rows of {ticker, symbol, description, exchange, price, open, high, low, currency, change_percent, dividend_yield, market_cap} — price is the current/last close; open/high/low are the current session's daily bar. Prices are in the market's local currency (e.g. KRW for korea).

Current price + daily % change for specific stock symbols.

Args: tickers: comma-separated EXCHANGE:SYMBOL list (max 2000 — one upstream request even at full size), e.g. "NASDAQ:NVDA, NASDAQ:TSLA, KRX:005930". The exchange prefix is required — the scanner's direct-ticker lookup is exchange-scoped.

Returns: Envelope dict: rows of {ticker, symbol, description, exchange, price, open, high, low, currency, change_percent} plus a not_found list naming any requested ticker the scanner didn't recognize.