此 MCP 可以做什么
Backtests NIFTY options strategies on real one-minute data and produces out-of-sample, walk-forward, cost, risk, and trade-level reports.
工具
输入模式
{'type': 'object', 'required': ['backtest_id'], 'properties': {'format': {'enum': ['artifact', 'link', 'full'], 'type': 'string', 'default': 'link', 'description': "'link' (default) returns the hosted URL of the report page. 'artifact' returns the whole self-contained HTML document as well, which costs considerably more tokens. 'full' builds the full strategy report and returns its link: the strategy's rules in plain English, what it did to a given capital, every trade plotted on a zoomable NIFTY chart, the evidence panel and the capital curve. 'full' is rate limited."}, 'capital': {'type': 'integer', 'maximum': 100000000, 'minimum': 100000, 'description': "format 'full' only. Starting capital in rupees. It sets the report's OPENING view — the reader can change it in the page without a new report. Default 1,000,000."}, 'risk_pct': {'type': 'number', 'maximum': 100, 'minimum': 0.1, 'description': "format 'full' only. Size by RISK instead of margin: the percent of capital the trade is allowed to lose in its worst case (2 means 'risk 2% per trade'). Only works where the position has a bounded worst case — a naked short does not, and the call is refused with that reason rather than sized off a guess. Overrides deploy_pct."}, 'deploy_pct': {'type': 'number', 'maximum': 100, 'minimum': 1, 'description': "format 'full' only. Percent of capital used as margin on any one trade. Default 10."}, 'backtest_id': {'type': 'string', 'description': 'From a previous run_backtest.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'bytes': {'type': 'integer'}, 'message': {'type': 'string'}, 'contains': {'type': 'object', 'additionalProperties': True}, 'document': {'type': 'string'}, 'mime_type': {'type': 'string'}, 'report_url': {'type': 'string'}, 'backtest_id': {'type': 'string'}, 'document_properties': {'type': 'object', 'additionalProperties': True}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'from': {'type': 'string'}, 'tier': {'type': 'string'}, 'symbol': {'type': 'string'}, 'resolution': {'type': 'string'}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {'topic': {'enum': ['changelog', 'common_mistakes', 'contract_spec', 'costs', 'interpreting_results', 'intraday', 'liquidity', 'margin', 'overfitting', 'overview', 'sample_size', 'slippage', 'strategy_book', 'structures', 'validation', 'what_is_returned'], 'type': 'string'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'body': {'type': 'string'}, 'title': {'type': 'string'}, 'topic': {'type': 'string'}, 'topics': {'type': 'array', 'items': {'type': 'string'}}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'text': {'type': 'string'}, 'title': {'type': 'string'}, 'metadata': {'type': 'object', 'additionalProperties': True}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['backtest_id'], 'properties': {'detail': {'enum': ['summary', 'standard', 'full'], 'type': 'string'}, 'backtest_id': {'type': 'string'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'spec': {'type': 'object', 'additionalProperties': True}, 'trades': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}}, 'honesty': {'type': 'object', 'additionalProperties': True}, 'summary': {'type': 'object', 'additionalProperties': True}, 'report_url': {'type': 'string'}, 'backtest_id': {'type': 'string'}, 'detail_note': {'type': 'string'}, 'data_release': {'type': 'object', 'additionalProperties': True}, 'trade_detail': {'type': 'object', 'additionalProperties': True}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 10, 'maximum': 50, 'minimum': 1}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'note': {'type': 'string'}, 'count': {'type': 'integer'}, 'backtests': {'type': 'array', 'items': {'type': 'object', 'properties': {'name': {'type': 'string'}, 'n_trades': {'type': 'integer'}, 'created_at': {'type': 'string'}, 'report_url': {'type': 'string'}, 'backtest_id': {'type': 'string'}, 'net_pnl_rupees': {'type': 'number'}}, 'additionalProperties': True}}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1}, 'order': {'enum': ['consistency', 'health', 'pnl'], 'type': 'string', 'description': "'consistency' (default) sorts by worst walk-forward fold, then median fold. 'pnl' sorts by total P&L and is the ranking most likely to put an overfit at the top."}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'note': {'type': 'string'}, 'count': {'type': 'integer'}, 'strategies': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'count': {'type': 'integer'}, 'items': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['spec'], 'properties': {'lots': {'type': 'integer', 'maximum': 100, 'minimum': 1}, 'spec': {'oneOf': [{'type': 'object', 'required': ['structure', 'params'], 'properties': {'bias': {'type': 'string', 'description': "Chooses the side each cycle for directional structures. 'neutral' to use a fixed direction instead."}, 'gate': {'type': 'string', 'description': "Entry filter; 'always' to disable."}, 'params': {'type': 'object', 'properties': {'sl_pct': {'type': 'number', 'maximum': 1, 'exclusiveMinimum': 0}, 'tp_pct': {'type': 'number', 'exclusiveMinimum': 0}, 'sl_mult': {'type': 'number', 'exclusiveMinimum': 0}, 'direction': {'enum': ['CE', 'PE'], 'type': 'string'}, 'entry_dte': {'type': 'integer', 'maximum': 45, 'minimum': 0}, 'pct_width': {'type': 'number', 'maximum': 20, 'minimum': 0}, 'pct_offset': {'type': 'number', 'maximum': 20, 'minimum': 0}, 'entry_days_before': {'type': 'integer', 'maximum': 30, 'minimum': 0, 'description': "Entry day as TRADING SESSIONS before expiry (0 = expiry day, 2 = 'T-2'), instead of calendar entry_dte. Set one or the other."}}, 'description': 'Structure parameters. pct_offset and pct_width are percent of spot. sl_mult is a multiple of the credit received; sl_pct and tp_pct are fractions of premium paid. entry_dte is days to expiry at entry. direction is CE or PE for directional structures, and must be omitted when a bias is set.'}, 'period': {'type': 'object', 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}}, 'description': 'YYYY-MM-DD, inside 2025-07-01 to 2026-06-30.', 'additionalProperties': False}, 'symbol': {'enum': ['NIFTY'], 'type': 'string', 'description': 'Free tier serves NIFTY only.'}, 'cadence': {'enum': ['weekly', 'daily'], 'type': 'string', 'description': "'weekly' (default) enters ONCE per expiry, on the day matching entry_dte — about 58 trades a year. 'daily' enters EVERY trading session on whichever expiry is nearest — about 246. Use 'daily' for anything described as 'every day'."}, 'max_dte': {'type': 'integer', 'maximum': 45, 'minimum': 0, 'description': "cadence 'daily' only: skip sessions where the nearest expiry is further out than this. max_dte 0 is expiry-day only."}, 'overlay': {'type': 'string', 'pattern': '^vol[0-9]{1,3}$', 'description': "Volatility filter: 'vol20' skips a cycle when the index's 20-day realised volatility is above 20% at entry. Omit for none."}, 'exit_time': {'enum': ['09:15', '09:30', '11:00', '12:00', '12:30', '13:00', '14:00', '15:00', 'EOD'], 'type': 'string', 'description': 'IST clock exit — squares the position off the SAME session, so it never reaches expiry. Omit to hold until a stop, a target or settlement. Must be after entry_time. Set this to express an intraday round trip such as in at 11:00, out at 14:00.'}, 'structure': {'enum': ['credit_spread', 'iron_condor', 'iron_fly', 'long_option', 'short_strangle'], 'type': 'string', 'description': 'Option structure to trade.'}, 'entry_time': {'enum': ['09:15', '09:30', '11:00', '12:00', '12:30', '13:00', '14:00', '15:00', 'EOD'], 'type': 'string', 'description': 'IST. EOD is 15:29, the last tradeable minute.'}}, 'additionalProperties': False}, {'type': 'object', 'required': ['legs'], 'properties': {'exit': {'type': 'object', 'properties': {'time': {'type': 'string', 'description': 'hard square-off at this minute on the entry day.'}, 'when': {'type': 'object'}}, 'additionalProperties': False}, 'legs': {'type': 'array', 'items': {'type': 'object', 'required': ['side', 'type', 'strike'], 'properties': {'qty': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'lots of THIS leg relative to the others. Unequal quantities are how a ratio spread is written.'}, 'side': {'enum': ['sell', 'buy'], 'type': 'string'}, 'type': {'enum': ['CE', 'PE'], 'type': 'string'}, 'label': {'type': 'string'}, 'expiry': {'enum': ['near', 'next', 'far'], 'type': 'string', 'description': "'near' is the nearest expiry at entry; 'next' is the one after, which is how a calendar or diagonal is written."}, 'strike': {'description': 'How to pick the strike. One of: {"pct_offset": 1.0} percent from spot (negative for puts) | {"points_offset": 200} | "atm" | {"strike": 24000} | {"premium_near": 50} the strike whose last real print is nearest 50 points | {"delta_near": 0.20} | {"from_leg": {"leg": 0, "pct": 0.5}} relative to another leg. Add {"ref": "entry"} to measure from the spot at entry rather than the spot now.'}}, 'additionalProperties': False}, 'maxItems': 12, 'minItems': 1, 'description': 'What to open. Leg order defines the indices rules use.'}, 'name': {'type': 'string'}, 'entry': {'type': 'object', 'properties': {'dte': {'type': 'integer', 'maximum': 60, 'minimum': 0, 'description': 'weekly/monthly only: days before expiry to enter. Defaults to 4 weekly, 21 monthly.'}, 'time': {'type': 'string', 'description': "ANY minute of the session, e.g. '09:20'. Not a grid."}, 'when': {'type': 'object', 'description': 'Optional gate on the cycle — the REASON for taking the trade. combined_premium is the credit on offer, so {"combined_premium": {"gte": 80}} means \'only if I collect 80 points\'. Market state is here too: day_of_week, gap_pct, prev_day_move_pct, realised_vol_20d, vix, vix_change_pct, vix_prev_close. e.g. {"vix": {"gte": 15}}, {"prev_day_move_pct": {"lte": -1}}, {"day_of_week": {"eq": 1}} for Mondays. INDEX INDICATORS too, computed on closes up to YESTERDAY: rsi_N (0-100), close_vs_sma_N_pct and close_vs_ema_N_pct (per cent above/below the N-day average), ema_F_vs_S_pct and sma_F_vs_S_pct (fast against slow, positive = fast is above). N from 2 to 250. e.g. {"rsi_14": {"lt": 30}} for oversold, {"close_vs_ema_50_pct": {"gt": 0}} for \'above the 50-day\', {"ema_9_vs_21_pct": {"gt": 0}} for a 9/21 crossover. All are knowable before the session — none can see the day\'s own close.'}, 'cadence': {'enum': ['weekly', 'daily', 'monthly'], 'type': 'string', 'description': 'weekly = one entry per weekly expiry; monthly = one per monthly expiry (the last of its calendar month); daily = one per session.'}, 'max_dte': {'type': 'integer', 'maximum': 60, 'minimum': 0, 'description': 'daily only: skip sessions further than this from expiry.'}}, 'additionalProperties': False}, 'rules': {'type': 'array', 'items': {'type': 'object', 'required': ['when', 'then'], 'properties': {'then': {}, 'when': {'type': 'object'}, 'label': {'type': 'string'}, 'max_times': {'type': 'integer', 'maximum': 100, 'minimum': 1}}, 'additionalProperties': False}, 'maxItems': 24, 'description': 'Checked every minute, in order; the first match fires. Fields: adjustments_done, combined_premium, credit_kept_frac, day_of_week, drawdown_from_peak, dte, gap_pct, leg_mark, leg_mark_delta, leg_mark_mult, leg_pnl_pts, minutes_held, pnl_frac_of_credit, pnl_frac_of_max, pnl_pts, pnl_rupees, prev_day_move_pct, realised_vol_20d, runup_from_trough, spot, spot_beyond_strike, spot_move_pct, spot_move_pts, time, vix, vix_change_pct, vix_prev_close. Actions: "close" | {"close_legs": [0]} | {"open": [leg,...]} | {"roll": {"legs": [0], "to": strike}} | {"close_and_open": {"close": [0], "open": [leg]}}.'}, 'period': {'type': 'object', 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}}, 'additionalProperties': False}, 'symbol': {'enum': ['NIFTY'], 'type': 'string'}, 'portfolio': {'type': 'object', 'properties': {'max_trades': {'type': 'integer', 'minimum': 1}, 'skip_after_loss': {'type': 'boolean'}, 'stop_after_losses': {'type': 'integer', 'minimum': 1}, 'stop_after_profit_pct': {'type': 'number'}, 'stop_after_drawdown_pct': {'type': 'number'}}, 'description': 'Rules over the SEQUENCE of trades, which no per-trade condition can express.', 'additionalProperties': False}, 'resolution': {'enum': [1, 5, 15], 'type': 'integer', 'description': 'minutes per rule check. 1 is the default and the honest one.'}, 'max_adjustments': {'type': 'integer', 'maximum': 50, 'minimum': 0, 'description': 'how many times the rules may change the position in one trade. Default 4.'}}, 'description': 'An open strategy: any legs, any rules. Covers what the presets cannot say — ratio spreads, calendars, diagonals, jade lizards, broken wings, delta- or premium-selected strikes, per-leg stops, rolling a tested side, trailing stops, entry conditions on the credit available, and book-level rules like standing down after three losers.', 'additionalProperties': False}], 'description': 'Either a preset spec (structure + params) or an open strategy (legs + rules). Use the open form for anything the presets cannot say.'}, 'detail': {'enum': ['summary', 'standard', 'full'], 'type': 'string', 'description': "How much per-trade data to return. 'standard' (default) is the equity curve, breakdowns and the first 25 trades with their leg prices. 'full' returns up to 300 trades — ask for it when the caller wants to audit or chart every trade. 'summary' returns aggregates only, and is the cheapest to read."}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'spec': {'type': 'object', 'additionalProperties': True}, 'quota': {'type': 'object', 'additionalProperties': True}, 'trades': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}}, 'honesty': {'type': 'object', 'additionalProperties': True}, 'summary': {'type': 'object', 'additionalProperties': True}, 'breakdown': {'type': 'object', 'additionalProperties': True}, 'report_url': {'type': 'string'}, 'backtest_id': {'type': 'string'}, 'methodology': {'type': 'object', 'additionalProperties': True}, 'cost_seconds': {'type': 'number'}, 'data_release': {'type': 'object', 'additionalProperties': True}, 'equity_curve': {'type': 'array'}, 'trade_detail': {'type': 'object', 'additionalProperties': True}, 'strategy_book': {'type': 'object', 'additionalProperties': True}, 'interpretation': {'type': 'object', 'additionalProperties': True}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'results': {'type': 'array', 'items': {'type': 'object', 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': True}}}, 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['title', 'body'], 'properties': {'body': {'type': 'string', 'maxLength': 4000, 'description': "What was expected, what happened, and any spec involved. Write it from the user's report, not from your own summary of it."}, 'title': {'type': 'string', 'maxLength': 160, 'description': 'One line naming the problem or request.'}, 'category': {'enum': ['bug', 'confusing', 'data_gap', 'feature_request', 'other', 'performance', 'praise', 'pricing'], 'type': 'string', 'description': 'Omit it and it will be inferred from the text.'}, 'severity': {'enum': ['blocker', 'idea', 'major', 'minor'], 'type': 'string'}, 'backtest_id': {'type': 'string', 'description': 'The result this is about, if any.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'properties': {'note': {'type': 'string'}, 'status': {'type': 'string'}, 'message': {'type': 'string'}, 'category': {'type': 'string'}, 'severity': {'type': 'string'}, 'feedback_id': {'type': 'string'}}, 'additionalProperties': True}
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