Ask it the way you would ask a colleague. Eight engines answer in parallel, each the same engine the console uses, every figure from live Bitget, SEC, Yahoo or news data and every line naming its source. It ends in one verdict and each engine's bottom line — nothing on this page is written by a language model, and your question is read without one.
Example Run live when this page loaded — not your question. Ask your own above.
I hold 40% NVDA, 30% MSFT, 30% AAPL — should I add 15% TSLA?
No measured edge: enter only on your own view
Nothing the engines measured favours entering over waiting: from states like today's TSLA rose 78% of the time over 24 hours, median +174 bps, but 4 independent episodes cannot tell 78% from an even chance (±50% at two standard errors); the long-run daily base rate does not move either. Entering is a view you hold, not one the data gives.
Add, at 15%
At 15%, TSLA would carry 16% of the book's risk, inside the 25% budget; 21% is the most that stays inside.
The book's concentration is NVDA, not TSLA: after the trade NVDA carries 51% of the risk at 34% of the money. If that is the worry, trimming NVDA to 17% brings it inside the 25% budget.
Fill it as 100% single order: near-touch limit, market if unfilled for $15,000, about 8.9 bps all in on the live book.
What would change the call: if TSLA outruns the rest of the book by 51%, it drifts past 21% of the book and back over the budget; trim it to 15% then. A jump in its correlation with the book lowers that ceiling, so re-ask after a large move.
Bottom line: a round trip in TSLA costs about 12.6bps (12bps taker fees + the 0.6bps spread) — a trade needs a move bigger than that just to break even.
TSLA last 361.04 USDT on Bitget (+4.68% over 24h); bid 360.91 / ask 360.93, spread 0.6bps; 24h range 335.99 to 363.08; funding +0.0000% per interval; 24h volume about $25,686,812.
Funding: flat, so holding TSLA costs nothing beyond fees.
The US anchor market is open, so this price has price discovery behind it.
Versus the stock: TSLA 360.36 → the perpetual trades at a 18.9bps premium (both live).
Quoted 2026-11-06 17:08:13 UTC.
Sources reached: 2 of 2 answered.
Data: Bitget live ticker, plus the stock's quote from bitget-mcp-server.
Bottom line: momentum down but fading.
RSI(14, 4h) 40.2 — neutral.
MACD -11.811 vs signal -11.026 (histogram -0.785).
The last MACD cross was bearish (MACD crossed below its signal), 21 bars (84h) ago, and the gap has narrowed for 5 bars, so that momentum is fading toward the next cross.
Price 360.92: nearest resistance 364.67 (1.0% above); nearest support 355.95 (1.4% below).
Swing levels on Bitget's 4h candles over 30 days (a bar lower or higher than the three each side): support 355.95 (1.4% below); resistance 364.67 (1.0% above).
ATR 9.181 (4h).
Caveat: technicals describe the tape, not an edge — the systematic signals this desk tested on these names did not clear costs.
Sources reached: 2 of 2 answered.
Data: Bitget's bitget-signal technical-analysis Skill, live.
Bottom line: 14 headlines name TSLA in 48h and no 8-K was filed this week — no company event on the record, so the move is sentiment or the market, not a disclosed fact.
TSLA is +4.68% over 24 hours on Bitget. QQQ moved +0.45%, which at TSLA's beta of 0.81 (to QQQ, hourly, last 30 days) explains +0.36%; the other +4.32% is TSLA's own.
0h ago — Nio Climbs 6%, Tesla and Lucid Rise 5% as EV Stocks Rebound From Election Sell-Off (247wallst.com, via Yahoo Finance) 247wallst.com ↗
0h ago — Elon Musk's Tesla to 'wind down' Cybertruck production next year (euronews.com, via Yahoo Finance) euronews.com ↗
1h ago — SpaceX, Tesla Merger Less Likely After Midterms. Texas Gov. Requests Pause On Land Talks. (Yahoo Finance) finance.yahoo.com ↗
1h ago — Musk bids farewell to Cybertruck as Tesla bets on robots and self-driving (Yahoo Finance) finance.yahoo.com ↗
1h ago — Tesla support and resistance levels to watch now (Yahoo Finance) finance.yahoo.com ↗
Prediction market on TSLA (Polymarket): "Tesla and SpaceX merger officially announced by December 31?" priced at 10% — $354,435 traded, closes 2027-01-01.
Prediction market on TSLA (Polymarket): "Tesla and SpaceX merger officially announced by December 31, 2027?" priced at 68% — $102,468 traded, closes 2028-01-01.
Prediction market on TSLA (Polymarket): "Tesla and SpaceX merger officially announced by June 30, 2027?" priced at 56%, +1 points in 24h — $89,097 traded, closes 2027-07-01.
Sources reached: 11 of 12 answered. Did not answer: bitget-signal — everything above is built without it.
Data: Bitget live tickers and hourly candles, headlines from Yahoo Finance and eight outlet feeds, SEC EDGAR filings, live.
Bottom line: TSLA reports in 82 days, on 27 Jan — no earnings gap inside 7 days for a position opened now.
Most recent report on file: 2026-10-22 (period ending 2026-10-01); Bitget's data service has not published the next one, Yahoo's calendar has.
Analyst consensus (EPS, 27 analysts): 0.5 (range 0.34 to 0.88).
Analyst price targets, last 90 days (16 firms, each firm's latest): median 446, range 360 to 550, +24% from the stock's 360.36; 9 buy, 7 hold, 0 sell; 10 raised and 0 cut their target. Left out as stale or unadjusted (under a third or over three times the price): GLJ Research 24.86.
Next report: 2027-01-27 (an estimated date) — 82 days away (Yahoo Finance's earnings calendar, read as the second source).
Against analysts: the fiscal quarter Yahoo dates 2026-09-30 reported adjusted EPS 0.48 against a consensus of 0.45 — above it, by 6.4% (Yahoo Finance's earnings history; adjusted EPS is the analysts' basis, and the SEC filing's GAAP diluted EPS differs).
Earnings against its own past: the quarter ending 2026-09-30 showed a moderate fall in GAAP diluted EPS — 0.22, -0.17 on the same quarter a year earlier against a usual swing of 0.15 (SUE -1.12; SEC filing, filed 2026-10-22).
TSLA market cap $1,424bn.
TSLA corporate actions: last split 3-for-1 on 26 Aug 2022 (Bitget's data service, bitget-mcp-server).
Latest SEC filings: 10-Q filed 22 Oct 2026; 10-K filed 29 Jan 2026 (amended 30 Apr 2026); 8-K filed 21 Oct 2026.
Valuation on 2026-11-06: P/E (trailing 12m) 421.9, P/S (trailing 12m) 13.1, P/B (latest quarter) 15.2.
Institutions: 4,623 holders own 49.4% of the shares (as of 2026-11-05).
Largest disclosed holders (as of 2026-09-30, filed 2026-10-19): Elon Musk 17.7%.
Company: Tesla, Inc., 134,785 employees, trading since 2010-06-29, ISIN US88160R1014.
Prediction market on TSLA (Polymarket): "Tesla and SpaceX merger officially announced by December 31?" priced at 10% — $354,435 traded, closes 2027-01-01.
Prediction market on TSLA (Polymarket): "Tesla and SpaceX merger officially announced by December 31, 2027?" priced at 68% — $102,468 traded, closes 2028-01-01.
Prediction market on TSLA (Polymarket): "Tesla and SpaceX merger officially announced by June 30, 2027?" priced at 56%, +1 points in 24h — $89,097 traded, closes 2027-07-01.
Sources reached: 14 of 14 answered.
Data: Bitget's bitget-mcp-server (US equity data), Yahoo Finance and SEC EDGAR, live.
Bottom line: treat this as thin — the 50 past states that resemble now come from only 4 independent episodes in the last 41 days, too few for a base rate. For what it is worth, the next 24h median was +174bps and it rose 78% of the time.
Path match (the shape of the last 24 hours, not only its size): the closest past stretch ended 11 Oct 23:00 UTC and looks alike, but shuffling TSLA's own returns produced a match that close in 42% of 50 tries. The shape is not distinguishable from chance, so what followed it says nothing about what comes next.
Next 5 sessions, 80% band: -6.4% to +6.5% — TSLA's own 440 past 5-session moves, widened or narrowed by its current volatility. On a 2,698-question test built for bands like this one, the method scored best of every one tried, though not by a significant margin (the comparison is on /proof).
Now: TSLA is +573bps over the 24 hours to the last completed hourly close (17:00 UTC) — not Bitget's own 24h change, which runs to this minute — with hourly volatility of 77bps.
Over 10 years of daily closes: TSLA is -5.8% over the last 20 trading days. In the past states most like that, then against every day in the same span:
next 1 trading day: median +0.4%, up 55% of the time (100 states, 48 independent episodes) — every day: median +0.1%, up 52%
next 5 trading days: median -0.9%, up 44% of the time (100 states, 27 independent episodes) — every day: median +0.6%, up 54%
next 20 trading days: median -6.2%, up 43% of the time (100 states, 22 independent episodes) — every day: median +1.9%, up 55%
Today's setup does not measurably change the odds: at every horizon its up-rate is within two standard errors of an ordinary day's, counted on independent episodes — a base rate, not a signal.
Sources reached: 1 of 1 answered.
Data: live Bitget hourly candles, last 41 days (the venue's older history did not arrive in time, so the search covers 41 days rather than 90).
Bottom line: adding 15% TSLA takes the book's beta from 0.88 to 0.87, and TSLA would carry 16% of your total risk — inside the 25% budget used by default; the most it could take within it is 21%.
Open-session beta 0.88 → 0.87
Risk spread across 2.2 → 2.9 effective position(s) by share of risk
Most correlated with NVDA at +0.35; partly the same trade; the diversification is real but smaller than the position count suggests
Hedge: short QQQ worth about 87% of the book's value neutralises its market exposure (book beta 0.87, QQQ explains 80% of its moves); it does nothing for single-name news risk.
After the trade: NVDA 34% weight / 51% risk; MSFT 26% weight / 21% risk; TSLA 15% weight / 16% risk; AAPL 26% weight / 12% risk.
In the book's worst 5% of hours (an average loss of 0.71% an hour), TSLA would carry 22% of the loss, against 16% of the ordinary swing — it concentrates in the bad hours.
If QQQ falls 5%, the book moves about -4.3% through beta alone.
If QQQ falls 10%, the book moves about -8.7% through beta alone.
Realised worst case: the worst 24-bar window in the observed history (719 hourly bars, about 30 days) would have moved this book -6.71% — driven by TSLA -11.41%, NVDA -9.71%, MSFT -4.45%, AAPL -2.20%
Sectors after the trade (Yahoo's classification, GICS names): Information Technology 100% → 85%, Consumer Discretionary 0% → 15%.
Factor loadings before → after (daily regression on SPY, IWM minus SPY, MTUM minus SPY, VLUE minus SPY, QUAL minus SPY, USMV minus SPY, IEF and BTC): market 1.09 → 1.13, size -0.14 → -0.08, momentum -0.21 → -0.16, value -0.27 → -0.28, quality -0.20 → -0.45, low vol -0.58 → -0.56, rates -0.35 → -0.27, crypto 0.01 → 0.03. Ask "what are my exposures" for the t-statistics.
How far to trust that beta: on 1,800 test books, it missed the next four weeks' realised beta by 0.24 on average, against 0.55 for the best other tool measured on the same books (a Season 2 entry, named on /proof) (p = 0.01; 0.36 on the same benchmark, p = 0.10, not significant) and 0.30 for simply assuming a beta of 1.0 — the comparison is on /proof. The QQQ-fall lines were off by 0.92 points on the 39 days QQQ really fell 1% or more (1.00 for the strongest statistical model tested), and they are a centre, not a worst case
Sources reached: 1 of 1 answered.
Data: live Bitget hourly candles, last 30 days, fetched just now.
Bottom line: adding 15% TSLA moves Information Technology from 100% to 85% of the book — the biggest sector change — and market-factor beta (daily, eight-factor regression) from 1.09 to 1.13; the largest factor change is quality (-0.24), and the book becomes more spread by name (2.9 → 3.7 effective positions by weight).
Sector weights of the book now (Yahoo's classification, GICS names): Information Technology 100%.
After the trade: Information Technology 100% → 85%, Consumer Discretionary 0% → 15%.
Industries: Semiconductors (NVDA); Software - Infrastructure (MSFT); Consumer Electronics (AAPL); Auto Manufacturers (TSLA).
Market beta (S&P 500, SPY): 1.09 → 1.13 for the book; per holding NVDA 1.11, MSFT 1.40, AAPL 0.75, TSLA 1.39.
Size beta (IWM minus SPY; above 0 leans small-cap, below 0 large-cap): -0.14 → -0.08 for the book; per holding NVDA -0.12, MSFT -0.38, AAPL 0.09, TSLA 0.22 (NVDA t -0.7; MSFT t -2.0; AAPL t +0.6; TSLA t +0.9).
Momentum beta (MTUM minus SPY; above 0 leans to recent winners): -0.21 → -0.16 for the book; per holding NVDA 0.22, MSFT -0.33, AAPL -0.66, TSLA 0.11 (NVDA t +1.6; MSFT t -2.2; AAPL t -5.6; TSLA t +0.6).
Value beta (VLUE minus SPY; above 0 leans to cheap stocks, below 0 to expensive growth): -0.27 → -0.28 for the book; per holding NVDA -0.40, MSFT -0.49, AAPL 0.13, TSLA -0.32 (NVDA t -2.5; MSFT t -2.9; AAPL t +0.9; TSLA t -1.5).
Quality beta (QUAL minus SPY; above 0 leans to profitable, low-debt companies): -0.20 → -0.45 for the book; per holding NVDA -0.61, MSFT -0.31, AAPL 0.44, TSLA -1.83 (NVDA t -1.5; MSFT t -0.7; AAPL t +1.2; TSLA t -3.3).
Low-volatility beta (USMV minus SPY; above 0 leans defensive, below 0 to the names that swing most): -0.57 → -0.56 for the book; per holding NVDA -1.17, MSFT 0.18, AAPL -0.53, TSLA -0.47 (NVDA t -4.2; MSFT t +0.6; AAPL t -2.2; TSLA t -1.3).
Rates beta (IEF, 7-10 year Treasuries; above 0 the name falls when bond prices fall, that is when yields rise; below 0 it rises then): -0.35 → -0.27 for the book; per holding NVDA -0.42, MSFT -0.57, AAPL -0.03, TSLA 0.15 (NVDA t -1.2; MSFT t -1.5; AAPL t -0.1; TSLA t +0.3).
Crypto beta (Bitget BTCUSDT): 0.01 → 0.03 for the book; per holding NVDA -0.03, MSFT 0.10, AAPL -0.02, TSLA 0.11 (NVDA t -0.7; MSFT t +2.3; AAPL t -0.6; TSLA t +2.0).
Assumed: loadings fitted over the last 252 US trading days available (2025-11-06 to 2026-11-06, 252 daily returns per holding), all 8 factors at once; |t| above 2 is a loading the data pins down, below 2 one it cannot tell from zero.
After the trade, concentration: effective positions by weight 2.9 → 3.7 (1/Σw²), effective sectors 1.0 → 1.3; largest holding NVDA 40% → NVDA 34%.
TSLA's daily correlation +0.46 with the rest of the book over 252 shared days (daily closes, about a year — not the hourly 30-day figure the risk answers quote): it moves partly apart from what you hold.
Data: sectors from data/sector_map.json (Yahoo quoteSummary, frozen 2026-09-25); factor returns from SPY, IWM, MTUM, VLUE, QUAL, USMV and IEF daily closes (Yahoo) and BTCUSDT daily candles (Bitget, 16:00 UTC close, four hours before the US close); holdings from AAPL daily closes (Yahoo); MSFT daily closes (Yahoo); NVDA daily closes (Yahoo); TSLA daily closes (Yahoo).
Method: one least-squares regression per holding of its daily returns on SPY, IWM minus SPY, MTUM minus SPY, VLUE minus SPY, QUAL minus SPY, USMV minus SPY, IEF and BTC together; the book's loading is the weight-sum of its holdings' (argus.lui.exposures).
Bottom line: in one market order this costs about 8.9bps (6.0bps fee + 2.9bps book impact), about $13.30 on $15,000 — one order is the plan; the book impact is the price of filling now, and a limit at the touch saves it if the fill can wait.
A $15,000 order is 0.058% of TSLA's 24h volume ($25,686,812); the fees come to about 6.0bps, and the square-root impact law — calibrated on Bitget's own books, at TSLA's own 318bps daily volatility (30 daily closes, about 51% a year) — puts this size's market impact near 2.6bps; the live book below shows what taking it at once costs.
Plan: at 0.058% of 24h volume the order cannot move the price; one order is cheapest — splitting would only add time in the market and a fee per slice.
Order book (buy side, live): taking all $15,000 at once walks 16 level(s) for 2.9bps of slippage on top of the fee.
Slice 1: 100% ($15,000) as single order: near-touch limit, market if unfilled — about 6.0bps fee plus 2.9bps book impact.
Agent Hub preview of the first child, which sends nothing: `bgc order --action place --category USDT-FUTURES --symbol TSLAUSDT --side buy --orderType limit --price 360.9 --timeInForce ioc --qty 41.54 --paper-trading --dry-run` — bgc answers with the request it would POST to /api/v3/trade/place-order on Bitget's Demo account: {"category":"USDT-FUTURES","symbol":"TSLAUSDT","side":"buy","orderType":"limit","price":"360.9","timeInForce":"ioc","qty":"41.54"}. It is a USDT-perpetual order, the market this desk reads books and sizes on; spot is a different market with its own book. The recorded check against bgc's own dry-run covers the market form; this limit form follows Bitget's published parameters for the same call.
Sources reached: 3 of 3 answered.
Data: Bitget live 24h ticker and order book (50 levels).
Ran at 17:08 UTC on 06 Nov, in 5.8s. Execution is sized on a $100,000 book. This is analysis, not advice — you make the call. JSON