dMoERA Creator

Build, backtest, and deploy crypto trading strategies via MCP.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

  • List Domains: List all available trading domains on dMoERA. Domains define what asset pair a strategy trades, what time horizon it uses (scalp=5m, swing=1h), and what data is available. Strategies mus
  • List Bots: List trading bots ranked by performance. Args: domain: Filter by domain key (e.g. "eth_usdc", "btc_usdc", "sol_usdc"). If omitted, returns top bots across all domains. limit: Maximum number
  • Get Bot Profile: Get detailed profile and performance stats for a specific bot. Args: bot_id: The bot identifier (e.g. "Eth_Full_Ensemble"). Returns JSON with: bot_id, domain, strategy type, full perf

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Build, backtest, and deploy crypto trading strategies via MCP. Access live market data (funding rates, Fear & Greed index, order book features), sandbox-backtest strategy code, submit to a 7-stage validation pipeline, and deploy for live paper trading. Browse the open-source strategy marketplace, fork strategies, and join trading tournaments.

Список инструментов сервера (16)

Технические названия из tools/list. Нужны только разработчикам.

list_domainsList all available trading domains on dMoERA. Domains define what asset pair a strategy trades, what time horizon it uses (scalp=5m, swing=1h), and what data is available. Strategies must declare which domain they belong to. Returns a JSON array of domain objects with: key, name, type, base_asset, quote_asset, grading_seconds, and feed_symbols.
list_botsList trading bots ranked by performance. Args: domain: Filter by domain key (e.g. "eth_usdc", "btc_usdc", "sol_usdc"). If omitted, returns top bots across all domains. limit: Maximum number of bots to return (default 20, max 100). Returns JSON array of bots with: bot_id, domain, strategy_name, sharpe, win_rate, total_trades, return_bps, and validation_score.
get_bot_profileGet detailed profile and performance stats for a specific bot. Args: bot_id: The bot identifier (e.g. "Eth_Full_Ensemble"). Returns JSON with: bot_id, domain, strategy type, full performance metrics (Sharpe, Sortino, Calmar, profit factor, win rate, return, max drawdown, avg trade), and proven tier.
get_feature_catalogList all data feeds available to strategies via ctx.features. Features are external data that strategies can read during on_bar(). Each feature has a status: "live" (available now) or "planned" (roadmap). Returns JSON array of features with: key, label, description, unit, example, cadence, source, and status.
get_market_regimeGet current market regime classification. Returns the aggregate regime (e.g. "bull_calm", "bear_volatile"), per-symbol regimes, crisis score, and the derivatives data driving the classification (funding rates, open interest, long/short ratios). Regime determines which trade directions are allowed: - bull_* -> longs only - bear_* -> shorts only - neutral_* -> both longs and shorts - crisis/meltdown -> no new positions
get_current_pricesGet current live prices for all tracked symbols. Returns JSON with symbol -> {price, change_24h_pct, volume_24h, source} for ETHUSDT, BTCUSDT, SOLUSDT.
sandbox_backtestRun a sandbox backtest of strategy code without persisting anything. This is the fastest way to test a strategy. The code is run through static checks and a full backtest on historical data, but no Strategy rows are created. Use this for rapid iteration. Args: code: Python source code implementing the Strategy contract. Must define a METADATA dict and a class extending Strategy with an on_bar(ctx) -> Signal method. See the strategy template resource. domain: Trading domain (e.g. "eth_usdc", "btc_usdc", "sol_usdc"). user_id: Identifier for the creator (requires authentication for this endpoint). Returns JSON with: success, metrics (sharpe, sortino, win_rate, total_trades, return_bps, max_drawdown, regime_breakdown), or error details if validation failed.
submit_strategySubmit a strategy for full validation and live deployment. Runs the complete 7-stage validation pipeline: 1. static_check — code safety (banned imports, syntax) 2. in_sample — sanity check on training data 3. out_of_sample — test on unseen data (70/30 split) 4. walk_forward — rolling window validation 5. randomized_start — different random start points 6. perturbation — market stress test 7. holdout — server-side reserved data (pass/fail only) If all stages pass, the strategy is registered for isolated live paper trading with status="incubating". Promotion to "live" requires a proven track record. Args: name: Human-readable strategy name (e.g. "ETH Momentum v2"). domain: Trading domain key (e.g. "eth_usdc"). code: Python source code implementing the Strategy contract. user_id: The creator's user ID (authentication required). symbol: Price symbol (auto-detected from domain if omitted). Returns JSON with: success, strategy_id, bot_id, validation results per stage, or error details.
list_strategiesList all strategies created by a user. Args: user_id: The creator's user ID (authentication required). Returns JSON array of strategies with: id, bot_id, name, domain, status, and created_at.
get_strategy_reportGet a detailed report card for a strategy. Includes validation run results for all 7 stages, performance metrics, and the integrity block (code hash, AST hash, parameter fingerprint). Args: strategy_id: The strategy's database ID. Returns JSON with: strategy details, latest validation runs, metrics.
get_marketplace_botsList bots published to the marketplace. Args: domain: Filter by domain (e.g. "eth_usdc"). Omit for all domains. sort: Sort order — "rating", "return", "subscribers", or "newest". limit: Max results (default 20, max 100). Returns JSON array of marketplace listings with: listing_id, bot_id, title, description, domain, creator, monthly_price_usd, stats (win_rate, return_bps, sharpe), subscriber_count, and avg_rating.
get_tournament_statusGet current tournament round status and leaderboard. Tournaments run every 3 days. Top 3 bots per domain win prizes from the reward pool. Scoring is based on the bot's own performance: 50% risk-adjusted (rolling Sharpe), 30% total return, 20% consistency. Returns JSON with: current round info (round_id, start/end time, reward_pool_usd, total_participants, hours_remaining), and leaderboard entries.
open_source_strategyConvert a rejected strategy to open-source status. The strategy must have passed stages 1-2 (static check + in-sample with >=5 trades). Its code becomes public on the open-source leaderboard where other creators can fork it. Open-source bots cannot enter tournaments or receive fund allocations — they're for community learning. Use this when a strategy fails full validation but still has educational value or interesting logic worth sharing. Args: strategy_id: The ID of the strategy to open-source (from submit_strategy or list_strategies). Returns JSON with: success, strategy_id, status, bot_id, or error.
fork_strategyGet the source code from an open-source strategy for forking. Returns the full code + parent info. Use this to study and remix open-source strategies from the open-source leaderboard. The actual submission of the forked code goes through submit_strategy with parent_strategy_id set (which the backend uses to exclude the parent from similarity checks). Args: strategy_id: The ID of the open-source strategy to fork. Returns JSON with: success, parent_strategy_id, parent_bot_id, parent_name, parent_domain, code.
get_open_source_leaderboardBrowse the open-source strategy leaderboard with FIFA-style ratings. Each strategy gets an overall rating (0-99) with sub-ratings for edge, drawdown control, regime fit, risk, turnover, and robustness. Strategies are tagged with positions (GK, DEF, MID, FWD) and tier (Bronze, Silver, Gold, Elite) like FIFA Ultimate Team cards. Use this to discover strategies worth forking. Then call fork_strategy with the strategy_id to get the code. Args: sort_by: Sort key — overall | edge | dd_ctrl | regime | risk | turnover | robust | forks | likes | return | sharpe | trades | newest domain: Filter by domain (e.g. "eth_usdc"). Empty = all domains. limit: Max entries to return. Returns JSON with: success, count, and bot entries with ratings, validation metrics, creator_username, fork_count, like_count.
delist_strategyDelist a strategy from the platform. Retired bots (tombstone=False) stay visible with their performance history — bad performance can't be hidden. Tombstoned bots (tombstone=True) are permanently removed and cannot be re-submitted. Args: strategy_id: The ID of the strategy to delist. tombstone: If True, permanently remove (cannot re-submit). If False, just retire (can re-submit with improvements). Returns JSON with: success, strategy_id, status.