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466,924 tools. Updated 2026-08-20 09:58

"How to Trade on E*TRADE" matching MCP tools:

  • [START HERE — 'vet my trade'] Ask n0brains First: graded pre-trade conditions assessment for a proposed trade. Give asset + side (long/short); optionally entry, stop, target, leverage, horizon_hours (default 24). Returns grade A..F with flags (positioning crowding, scheduled event risk inside the horizon, liquidation distance vs realized daily volatility, stop inside noise range, proven-edge conflicts, late entry), supporting factors, and falsifiers to watch. Grades are logged and resolved at horizon; cross-grade performance stays withheld until the deployed weekly truth gate clears. Pair with get_positioning (who is crowded) + get_event_outlook (scheduled risk inside the horizon) for the full vet. Analytical, not advice.
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  • [JOURNAL] Void a mis-logged journal trade by trade_id (wrong asset, duplicate, fat-finger) with an optional reason. Soft-delete: the trade is removed from your stats and the default journal view but retained and recoverable (get_journal status='void' lists voided trades). Voiding a CLOSED trade removes its outcome from your calibration — disclosed in the response. Use this for entries that never should have existed; use close_trade for real trades that ended. Pro.
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  • [JOURNAL] Void a mis-logged journal trade by trade_id (wrong asset, duplicate, fat-finger) with an optional reason. Soft-delete: the trade is removed from your stats and the default journal view but retained and recoverable (get_journal status='void' lists voided trades). Voiding a CLOSED trade removes its outcome from your calibration — disclosed in the response. Use this for entries that never should have existed; use close_trade for real trades that ended. Pro.
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  • Pre-trade risk readout for a Robinhood Chain token by symbol or 0x address — designed to be called BEFORE placing a trade elsewhere (e.g. via robinhood agentic trading). Returns observed data only, never a buy/sell recommendation: liquidity/volume/holders, rug-guard status, launch-radar assessment when available (riskGate pass|watch|fail, opportunity 0-100, data confidence, risk flags, paid-promotion flag), and the estimated one-shot exit price impact for your trade size. Unknown values are null, never fabricated.
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  • [READ FIRST] The routing guide for every n0brains tool: which tool answers which intent (find a trade / vet a trade / coin snapshot / market brief / monitoring) and how to interpret the honesty fields (action_hint, historical_edge, n_eff, calibration). Call this once if you are unsure which tool to use — it replaces trial-and-error over the 40-tool catalog. Static text, no market data, free tier.
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  • The cost of the currency you were never quoted in. Use for "what does it really cost me to trade $5M of SOL", "which venue is cheapest for a USD fund", "how much am I paying to hold USDT", "should I use a USDC venue instead". THE POINT: every execution cost in this API, and in every competing tool, is denominated in the VENUE'S OWN quote currency. Most perp venues quote USDT. A fund's money is USD. So the quoted cost is for a trade the fund cannot place until it has bought USDT, and the price of that conversion appears in nobody's TCA. This walks the live USD/USDT and USD/USDC books at the caller's size, reports the cheapest round trip and the capacity ceiling, and re-ranks venues on cost INCLUDING the leg. IT DOES NOT TELL YOU WHICH VENUE TO TRADE ON, and you must not present it as if it does. That output existed, was measured across 20 coins x 5 sizes, flipped 0 of 95 times, and was deleted — `leg_does_not_change_venue` in the response carries the numbers. What it tells you is what the trade ACTUALLY costs: quote `leg_as_pct_of_execution_cost`, which is the leg measured against the trade's own execution cost on the venue the desk would really use. THE LEG IS A COST ON CAPITAL MOVED, NOT ON TURNOVER. `turns` is how many times the desk turns the balance over before repatriating to USD. At turns=1 the full round trip is charged; at turns=50 the leg is rounding error and the response will show that. Do not quote the turns=1 figure as a per-trade cost for a desk that trades continuously. `coin` = ticker e.g. 'sol'. `notional_usd` = order size in USD. `side` = 'buy' or 'sell'. Requires an EnsoTrade Pro API key.
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Matching MCP Servers

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  • Census Trade MCP — US Census Bureau International Trade data

  • Trade Intel MCP — Compound tools that chain Comtrade, Census, Treasury,

  • Explains, in order, how to obtain a cogDepot API key and become able to trade. Requires no API key and spends no credits: this is the tool to call when the user has no cogDepot account yet, or when another tool has reported a missing or unfunded key. Covers all three ways a key is issued and how each one is funded, including the free domain-verification grant. Returns instructions for a human or agent to follow. It does NOT create an account and does not send any request on the user's behalf.
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  • Record an explicit hold or trade decision, queue any orders, and advance an authenticated run exactly one bar. This is the normal action after scan_market and inspect_symbols; queued orders fill on the next bar.
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  • In which macro regime has this strategy worked? Historical backtest performance for ONE (strategy, asset, interval) combination SPLIT BY macro market regime (sweet_spot / late_cycle_warning / crisis / recovery — classified at each trade's entry date), PLUS the CURRENT live regime so you can align the buckets yourself. Answers 'WHEN has this strategy worked?' — deliberately NOT 'should I trade now': the former recommendation.verdict was removed (2026-08-15) because it ranked regimes on the pooled trade sum and could flip when another user's backtest changed the pool. Each regime bucket returns trades, trades_per_config (trade counts pool ALL parameter-variant configs — see config_count), win_rate, avg_pnl_pct (per-trade return, not annualized), reward_risk_ratio (per-trade mean/stddev, NOT annualized Sharpe), share_of_time_pct and a rating. The `benchmark` block anchors the payload with the combination's buy-and-hold CAGR (identical to arena_get_strategy_performance vs_buy_hold — without that anchor, regime avg_pnl_pct is a trajectory, not an excess). For a decision-grade view compose with arena_get_strategy_filter_effect and arena_is_distinguishable. [Free tier]
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  • Report-section helper ("General overview"): condensed, report-ready digest of how a market has evolved over the chosen window -- one call instead of separately fetching and cross-referencing get_overview + get_reporter_detail + get_concentration + get_net_import_reliance yourself. Set `query.frequency = "year"` for a multi-year evolution summary (recommended over the model's default of "quarter"). Every figure reflects `query` exactly as given -- the same product/reporter/partner_set/period slice a dashboard user would have selected. Nothing here substitutes a different reporter or partner_set (e.g. to contrast intra-EU against extra-EU trade): call this again with a different `query.partner_set` for that, the same way a dashboard user would switch the sidebar's selector. Returns `{narrative_facts, chart_data, available, reason}`. `narrative_facts` combines, for the flow selected by `query.partner_set`: - Headline trade: first/last/min/max/pct_change for export & import value, quantity and price, plus the trade-balance trend. - Partner concentration: first/last/pct_change of the value-based HHI for imports and exports. - Top partners *and* top EU reporters by value: each one's first/last/pct_change -- i.e. who is gaining or losing share. - Net import reliance: first/last/pct_change of the annual NIR % for `query`'s own `reporter`/`partner_set` (only `frequency` is normalised to "year", since NIR is structurally annual and the upstream API always returns it that way regardless); omitted if the product has no PRODCOM mapping. `chart_data` carries the full-fidelity headline trade and top-partner/ top-reporter series for charting.
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  • Shipping & Logistics Stress Intelligence — composite view of global freight market conditions across ocean, air, truck, and rail. Tracks energy-driven shipping costs (Brent crude, diesel), 8 key global trade routes with disruption status, and trade flow signals. Returns a settlementRelevance section mapping logistics conditions to cross-border payment corridor risk: invoice delay risk, trade finance stress, and affected corridors. Useful for treasury teams with supply chain financing exposure, trade finance desks, and agents pricing cross-border payments on goods-backed corridors. Data: FRED (Brent crude), EIA (US diesel). 4h cache.
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  • Returns recent on-chain trade and settlement activity. - With `ticker`: raw per-market trade rows from the live by-market feed (/onchain-trades-by-market). - Without `ticker`: aggregated counts across all markets (total_trades_observed, distinct_markets_observed, markets_sample) from /onchain-trades-summary. The two branches return DIFFERENT shapes (raw rows vs aggregated counts). Tickers are prediction-market event tickers (e.g. KXUSNFP-26MAY01). On failure returns a structured {status:"error", kind, retryable, detail} envelope.
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  • Get today's highest-conviction silver or bitcoin trade signal from the PMP edge model — the Kalshi weekly-silver (KXSILVERW) or twice-daily bitcoin (KXBTCD) strike with the largest model edge, as a trade ticket: entry side and price, resolve criterion, model probability, edge in percentage points, confidence tier, and quarter-Kelly sizing. Pro key required. Use for "silver edge today", "bitcoin trade signal", "is there a commodity edge". Pass tickers[] to check specific Kalshi markets — e.g. paste your Kalshi Pro screener watchlist (returns the signal only if it matches the strike PMP is modeling).
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  • [READ FIRST] The routing guide for every n0brains tool: which tool answers which intent (find a trade / vet a trade / coin snapshot / market brief / monitoring) and how to interpret the honesty fields (action_hint, historical_edge, n_eff, calibration). Call this once if you are unsure which tool to use — it replaces trial-and-error over the 40-tool catalog. Static text, no market data, free tier.
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  • FINRA TRACE corporate-bond trade prints for one issuer — individual OTC trades (price, yield, volume, buy/sell side) showing where the company's bonds ACTUALLY trade (realised credit spreads, not quotes). Matched by the FINRA bond-symbol prefix of the equity ticker; window spans at most 90 days (422 beyond). TRACE on licensed-research lags realtime by months — when the default recent window is empty the response includes latest_available; page backwards from it.
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  • Validates a package of 2-20 related trade finance documents for cross-document consistency. Call this BEFORE approving any multi-document trade finance transaction or cross-border shipment -- at the moment a set of 2-20 related documents arrives from an external party and funds have not been released. Use this when your agent has received a full trade finance package — such as invoice, bill of lading, and certificate of origin together — and must verify all documents are consistent with each other before releasing funds. Returns PASS/FLAG/FAIL verdict per document with mismatch details. Cross-checks all documents for consistency across numeric values, party names, reference numbers, dates, and commodity descriptions. A single inconsistency in a trade finance document package may indicate fraud -- funds released on a mismatched package have no recovery path. Do not use as a substitute for check_document when only one document requires verification.
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  • AUTHORITATIVE bilateral trade data between two countries from UN Comtrade — the official international-trade statistics database (every country's customs filings, harmonized). Returns trade values USD, quantities, and HS commodity-level detail for imports and exports between reporter + partner. Use for "how much X did US import from China in 2024", "what does Germany export to Brazil", "Mexico's top trade partners by commodity". UN Comtrade reporter/partner codes (842=US — Comtrade uses 842, NOT the ISO 840; 156=China, 276=Germany, 0=World — see comtrade_country_codes). Annual data, lags ~3 months from reporting period.
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  • Pre-trade expected execution cost for a ticker: spread, market impact, and commission for a given qty (default 100) and side (buy/sell). Call it to know what a trade will actually cost before sizing or routing it; use twap_plan/vwap_plan for the execution schedule itself.
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  • Execute a REAL on-chain swap on Robinhood Chain via the Rialto router, signed by Otto's server-side trading wallet. side=buy spends `usd_amount` USDG to buy the ticker's Hood token; side=sell sells `qty` tokens back to USDG. The server enforces hard guardrails independently of the caller: USDG<->allowlisted-token pairs only, per-trade and daily USD caps, and a slippage cap. On success the matching order_filled/position_closed event (payload mode=onchain, with tx_hash) is written automatically — the position book, performance stats and trade chart update without a separate report_agent_status call. key: the operator's OTTO_AGENT_KEY. agent: gap-trader | narrative-trader. Returns tx_hash, fill qty/price/usd and pnl_bps (sells with a known entry).
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  • [STEP 2 — pick the coin] Cross-asset ranking: assembled trade plans for the given coins sorted by setup_score (best first) — answers 'which coin is the better trade right now?'. coins = comma-separated (default BTC,ETH,SOL). Mirrors GET /rank. Analytical, not advice.
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