io.github.gigshow/decker

Axis③ (Order/Execution) — closes (or partially reduces) an existing position through DECKER'S OWN execution engine (see decker.place_order for what that means — same account-linkage requirement applies here for real positions). Unlike place_order, there is no crypto-6 restriction — this reduces risk, not adds it, so any symbol you actually hold (including HL-synthetic/KRX paper positions) can be closed. Mode is NOT chosen by the caller — this looks up whatever position(s) actually exist for the symbol (real via live exchange query, virtual via the paper ledger) and closes whichever are open; if both a real and a virtual position exist for the same symbol, both are closed and the response reports execution_mode as 'mixed'. No open position for the symbol = a clean not-found response, not an error — safe to call speculatively.

Axis③ (Order/Execution) — unlike every other tool here, this one moves money. It places a market order through DECKER'S OWN execution engine (same path as the decker-ai.com chat trading UI, source='mcp') — it does NOT hand off to your own broker connection or exchange account; Decker executes using whatever exchange credentials this user has separately linked to their Decker account on the website. execution_mode (virtual|real) is NOT chosen by the caller — it is resolved server-side from this user's account settings (user_settings.execution_mode) AND the platform's real-trading kill switch; a real-money order requires both an explicit user opt-in AND role/tier eligibility (PRO/ENTERPRISE or admin) AND passing the tier's hard notional/leverage/daily-count caps (checked here before dispatch — violation blocks the order, does not downgrade it to virtual). The response always states which mode actually executed — treat 'virtual' in the response as authoritative even if you expected real. Restricted to the crypto-6 universe (BTCUSDT/ETHUSDT/SOLUSDT/BNBUSDT/XRPUSDT/DOGEUSDT) for this MCP path — HL-synthetic and KRX symbols are read-only via other tools. Call decker.validate_intent first to read the engine's current stance; this tool does not check it for you. Positions are tracked as ONE net row per user+symbol+mode, not per order — if you already hold a position on this symbol, this order nets into it and the response's pre_existing_position field says so. A later close_position call closes the combined total, not just what this call added.

Change active trading skill overlay for this user. Immediately affects all subsequent get_signals calls and downstream channels.

Axis③ (Order/Execution) — modifies the stop-loss and/or take-profit on an EXISTING open position. There is no cancel_order tool because Decker only places market orders (there is no resting order to cancel) — the actual gap this fills is modifying protective stops on a position you already hold. real: cancels the old exchange stop/take-profit order(s) and places new ones at the given price(s) (new order placed first, old one canceled only after — no unprotected window). virtual: updates the paper position's stop_loss/take_profit columns directly (polled by the paper monitor). Provide at least one of sl_price/tp_price — the other side, if omitted, is left at its current value. If both a real and a virtual position are open for this symbol, pass mode explicitly or the call is rejected asking which one.

THE answer for 'what is the situation and what do I do on this symbol now' — one verdict per symbol, built from the per-timeframe judgment state (CR1); no scores or weights. READ IN THIS ORDER: (1) verdict = state (direction · phase) + action: 진입 enter now (a new signal) | 유지 hold the existing stance, NOT a new entry | 청산 exit | 대기 wait; `reason` says why, `until` names the close that would change it. (2) summary_ko = ready-to-show Korean lines. (3) entry / stop / target / rr = the prices (entry.mode says whether it is a new entry or on hold — when the action is not 진입 it never says 'now'; target may be null with target.reason, e.g. no coordinate at least 2% from the entry price; rr mixes the entry timeframe's stop with the target timeframe's target). (4) as_of = the bar this answer is based on. Default = the answer only (about 3KB per symbol; summary_ko already narrates the next closes and the last signal). Pass detail=true for the structured detail: path (nearby prices and what a close there means), watch (upcoming bar closes in time order and the question each decides), story (this / last signal), ladders, matrix_summary (every timeframe's row incl. gate). Omit `symbol` for all 14 symbols. Roles: frame = highest confirmed timeframe (sets direction and target); entry = lowest aligned timeframe whose signal is alive; 1w supplies direction/target only, never an entry. grade: 정렬 aligned | 되돌림 pullback against the frame | 전환 시험 frame under test | 재장전 no confirmed signal. Caveats: 정렬 does not mean every timeframe's gate is GO (check matrix_summary[].gate); entry.mode '지금' does not mean a new event this bar. Narrate or filter the result — do not re-decide coordinates.

Price-axis EPISODE history — answers 'where did I buy/sell last time, what was the target value and the event chain then, and where did price move WITHOUT a signal (and which target values it passed = missing points)'. Read-only from the persisted event ledger (no recompute). `episodes` (newest first) = one target selection until the next: target {price, from_price, reason}, chain (primary-unit judgment events), signals {ts, side, entry, targets, resolved{status, close, bar_low, bar_high}}, left (target_left: MISSING = a target value price passed through with no judgment; MOVED), missing, signal_gap (no signal in that episode), move {start_close, end_close, pct}. `signal_gaps` (ascending) = the interval between consecutive signals with its price move and the missing points inside (last one is open). Missing points carry `sign` and `position` (price below/above the target at the pass) — classify on the read side; do not re-decide coordinates. History starts at the first persisted event of this generation.

PER-TIMEFRAME judgment state of a symbol, structured (consumer contract CR1) — the evidence behind decker.get_assembly's single verdict. For 'what is the situation and what do I do' call decker.get_assembly first; use this when you need one timeframe's exact state. Per timeframe (top→short): stage = target_selected (대상선정) | pending (판정보류: the close is still inside the signal bar) | confirmed (확인) | failed (실패) | none; side = buy/sell (a failed signal asserts nothing about the opposite side); signal_time; signal_bar {time, low, high} (its edges decide confirm/fail); entry (= close at the signal); stop; target (take-profit: opposite-side confirmed-signal edge at least 2% from entry, else null + target_reason); unit_target (the price this timeframe is judging now — NOT the take-profit); units (the targets judged together, max 6, primary first); reverse_pending (a reversal on hold: the first reversing key appeared, the next judgment bar has not closed beyond the target); standing (the last confirmed signal's entry/stop/target while a new target is being selected); prev_signal; turn (reverse|same|null); levels (nearby prices). state_text = ready-to-show Korean lines (🟢▲ buy confirmed · 🔴▼ sell confirmed · ⚪ pending · 🟡 target selected / reversal on hold · ✖[U+FE0F] failed). timeframe_summary lists timeframes by (stage, side) — a listing, not a verdict; no scores, weights or probabilities anywhere. events = recent target_selected / signal / signal_resolved / reverse_failed / reverse_tested / conn_arrival, newest first, always including each timeframe's own latest 2 (pass `timeframe` for one timeframe's full history). as_of = the latest closed bar among the returned timeframes (it can be earlier than get_assembly.as_of, which is the 30m bar). Read as persisted (no recompute). A state reading, NOT a trade instruction. Crypto and Hyperliquid synthetics only (KRX: decker.get_reading). Before placing any order, check the intent with decker.validate_intent.

Axis③ (Order/Execution) — this user's actual exposure (each open row carries vs_verdict: does the held side match the current symbol verdict): real open futures positions (execution_mode=real, with live sl_price/tp_price), virtual (paper) open positions, and the last 10 closed round-trips per mode. This is what your money actually did, distinct from decker.get_signals (axis②, what the engine recommends) — use this before deciding whether to place another order (avoid duplicate/over-exposure) and to check current protective stop/target on a real position.

How ONE timeframe looks right now, in plain language: state (phase, this timeframe's key direction, posture GO/WATCH/HOLD — a stance, not an order), mtf.by_tf (the same for other timeframes), narrative, plus `assembly` = the symbol's single verdict (the same one decker.get_assembly returns: direction, action 진입/유지/청산/대기, entry/stop/target). ⚠ `state.direction` is only this timeframe's direction and can differ from `assembly.direction` — for the decision use `assembly` (direction_basis says which is which). For the full detail call decker.get_assembly with detail=true; for the structured per-timeframe judgment use decker.get_market_state. Engine-native raw fields are not exposed here.

Active trading signals for the current user (with Skill Overlay applied), in customer-facing shape: coordinates (entry/target/stop), decision (ENTER/WAIT/SKIP — is_actual_trigger=true only for ENTER; WAIT/SKIP are standing candidates, not executed triggers), action_gate posture (GO/WATCH/HOLD — a stance, not an order command), progress, MTF verdict, and a plain-language summary_ko line. risk_reward_ratio is computed on the DISPLAYED coordinates (after overlay). Signals are retained rather than cut when they age (turn-retention policy) — read freshness_state (open|aged) / age_bars / freshness_sec before treating an old PENDING row as current. Filtered by symbols / min_progress / action_gate — action_gate here filters the CURRENT-MOMENT representative state, it does not search history (almost always 0 rows unless a gate is GO right now); for past GO events with their entry/target/stop and realized performance use decker.get_trigger_history instead. Before placing any order through any execution tool, check the intent with decker.validate_intent.

ACTION axis — actual historical GO triggers (not standing WATCH/HOLD candidates) for a symbol, with entry/target/stop coordinates and realized performance (mfe_pct/mae_pct/exit_reason/exit_price from trigger_performance, null = still open). Distinct from decker.get_signals (which reflects only the current-moment state, not a searchable history — its action_gate filter answers 'what does symbol×tf look like right now', not 'when did this last fire'). Use this to answer 'what did the engine actually trigger recently and at what price' — decker.get_signals/get_market_state cannot answer that. direction is judgment_signals-native vocabulary ("long"/"short"), distinct from the "+"/"-" convention used by other tools — read as-is, no translation.

Trading skill catalog + currently active overlay for this user. Returns 8 published skills (conservative_v0/standard_v0/aggressive_v0/default_v0/scalp_v0/tight_v0/wide_v0/swing_v0) and the user's selected one. Also returns symbol_skills: the symbols where this user's paper account turns the symbol verdict's entry event into an order (read-only here; turn on/off via REST /auto-order-rules/symbol-skills).

Ready-to-show Korean status card for a symbol — the same card the daily briefing sends, built from the same consumer contract (CR1) as decker.get_market_state, so direction and prices always agree with it. Shows the timeframes grouped 상위/중간/단기 with one line each (direction + stage + the price that decided it), the nearby prices to watch, and a short explanation of the chosen timeframe (tf, default 4h): what closed beyond what, whether the signal flips the previous one, entry/target/stop. Also returns direction (+/- only while that timeframe's signal is pending or confirmed; a failed or absent signal gives no direction — failure does not assert the opposite side), wait_target, invalidation, ref_price and recent self-scoring verdicts. Use this when you want text to show as-is; use decker.get_market_state when you want structured values to reason over. layer=STATE_VIEW: a market-state reading, NOT a trade instruction. Before placing any order through any execution tool, check the intent with decker.validate_intent.

Pre-trade gate check for a proposed order intent. Call this BEFORE placing any order through any execution tool (e.g. a broker MCP's review→place flow). Checks the intent (symbol + side) against Decker's deterministic market state: engine action_gate (GO/WATCH/HOLD — a transition posture, not an order command), current structural state, and the active signal's direction / invalidation (stop) coordinates. Returns a stance reading, NOT an approval or rejection: the vocabulary is the engine gate as-is plus a mechanical tf_signal_alignment (aligned/opposed vs the active signal's direction). covered=false means the engine does not emit state for this symbol — treat as unknown, not as HOLD. top-level action_gate can be null even when covered=true — this is not a missing field, it means the current bar has no fresh trigger reading; check gate_null_reason ('no_gate_available' = neither the current bar nor the carried-forward signal had a gate at all, vs 'signal_stale' = a value existed but the underlying signal exceeded the staleness threshold and was deliberately suppressed rather than served as a confident-but-old answer). The order decision and responsibility remain with the calling agent/user. Every check is persisted to an auditable decision ledger (check_id). READ verdict_check FIRST: it compares the intent with the symbol's single verdict (the same one decker.get_assembly returns — direction, action 진입/유지/청산/대기, entry/stop/target, what would change it) and says in summary_ko whether a NEW entry exists now (entry_now) or the stance is only being held. The timeframe-level gate/signal fields below describe one timeframe (default: your open position's) and can be stale.