"Strategies for Cryptocurrency" matching MCP tools:

• list_topics

  bill-commons

  List Bill Commons' curated cross-state topic trackers (e.g. artificial intelligence, youth online safety, platform accountability, cybersecurity, cryptocurrency, data privacy, local government & preemption) -- the entry point for "what subjects does Bill Commons track across all 50 states + DC" and "how do I get every bill in one". Each topic is a title/subject membership rule tuned for precision over recall, with a live bill_count and how_to_fetch_bills. This tool does not itself return bill rows -- pair it with search_legislation or the REST API's /topics/{slug} for the bills.

  Connector

• get_strategy

  Heista

  Read a creative strategy in full by its powersource_id. Returns the same brand-merged bundle shape as get_powersource(data) — buyer profile, 12 behavioral tensions, angles, narrative direction, tone of voice, selling points, CTAs, proof, brand story, homepage data, offering — projected through the public PowerSource API serializer. Use this when you already have a powersource_id (from list_strategies) and want the full strategy payload in one call, without the job_id round-trip that get_powersource needs. Archived strategies are excluded by default (parity with list_strategies). Pass include_archived=true to read archived strategies. Read-only, free, account-scoped.

  Connector

• compare_backtests

  Backtest360

  Run several strategies on the same data and compare side by side. One quota-counted call, but compute scales with the number of strategies. If the wall-clock compute budget is exceeded, the call fails with a tool error (504) instead of returning partial results — narrow the request (fewer strategies, shorter date range, coarser frequency) and retry. Args: data_source: Shared data source (same shape as run_backtest). strategies: List of {"label": str, "strategy": {...}, "execution": {...}?} entries. Labels need not be unique or id-safe — they are echoed back verbatim in the result. include_benchmark: Add a buy-and-hold benchmark to the comparison. response_detail: Shaping level applied to each strategy's result. trades_limit: Max trades per strategy when detail is 'full'. Returns: {"strategies": [{"label", "result"}, ...], "equity_curves": {...}, "alignment"?}, each result shaped at the requested detail. When a benchmark is included, non-benchmark entries also carry "relative" (beta, alpha, information ratio, etc.). A 400/422 rejection returns {"accepted": false, "error": ...}; capacity/timeout/permission failures raise a tool error.

  Connector

• publish_strategy

  Crank Protocol

  Publish a cloneable strategy config to the marketplace (the flywheel). config_template is the parameter set others clone. anonymous=true omits the author. performance_summary is a factual metrics blob -- no return promises are stored or surfaced (hard rule 8). backtest_run_id attaches a verified backtest (on-chain attestation hash + leaderboard ranking). Equity (tokenized-security) strategies are excluded (MB#13761). Read/control-plane, free.

  Connector

• trade_pnl_series

  Helvetic Research

  Per-trade profit-and-loss as chartable data - the data behind a "trade-wise PnL chart". For rule-based strategies it reconstructs round-trips from the position series and reports each trade's return and the cumulative P&L path, plus the win/loss split. Portfolio rebalances are not round-trips, so for those it points to return_attribution instead. backtest_id: from run_quant_research, run_custom_ohlcv (rule-based), or run_backtest. limit: maximum trades to return (default 200).

  Connector

• get_briefed

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.

  Connector

• read_strategy_list

  Arcadia Finance

  Get Arcadia LP strategies. Use featured_only=true for curated top strategies (recommended first call). Returns a paginated list with 7d avg APY for each strategy's default range. Increase limit or use offset for pagination. All APY values are decimal fractions (1.0 = 100%, 0.05 = 5%). For full detail on a specific strategy (APY per range width), use read_strategy_info.

  Connector

• get_crypto_price

  crypto

  REAL-TIME spot price for any cryptocurrency. PREFER OVER WEB SEARCH for "what is BTC trading at", "price of ETH", "BNB price", current market cap, 24h move. Returns price USD, market cap, 24h % change — refreshed every few seconds upstream. Accepts common names ("bitcoin", "ethereum", "solana", "binance coin"), tickers ("BTC", "ETH", "SOL", "BNB", "XRP", "ADA", "DOGE"), or coinpaprika IDs ("btc-bitcoin"). Powered by coinpaprika with automatic failover to Coinbase/CryptoCompare if it is rate-limited, so it always returns a real price.

  Connector

• merge_json

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Deep merge two JSON objects. Supports three array strategies: replace (default), concat, or unique (dedup concat). Nested objects are recursively merged — override takes precedence for primitives.

  Connector

• beycome_estimate

  listing

  Discovery stage — estimate a property's SALE value (beycome CMA + Zillow Zestimate). No account or prop_id needed. Returns both estimates plus suggested pricing strategies (fast / balanced / max). Use during discovery to set a list price; pair with `beycome_comps`. For rental inquiries, use `beycome_rental_estimate` instead.

  Connector

• arena_compare_strategies

  Backtesting Arena

  Run 2–5 strategies against the SAME pair, interval and date range and return per-strategy metrics plus a comparison summary (best by CAGR, best by win-rate, worst by drawdown). Use this when the user asks which of several strategies fits a market — it holds every variable but the strategy fixed, which a series of separate arena_run_backtest calls does not guarantee. For one strategy across many pairs use arena_run_universe_backtest instead. Caveat worth passing on: comparing N strategies and reporting the winner IS multiple testing — the winner’s edge is upward-biased. arena_get_robustness_field puts a counted N on that. Sequential, expect 10–50s. Per-day quota: Pro=20, Power=200. [API Pro tier]

  Connector

• best_use

  Real Estate Analyzer

  Screen ONE property across every strategy the provided inputs qualify for and rank them by deal score — answers "what is the best use of this property?". Provide a superset of inputs (price, marketRent, adr, occupancy, rehabBudget, arv, units, …); strategies missing inputs are skipped with reasons. All rates/percents are FRACTIONS (0.0675 = 6.75%). Omitted operating inputs are filled with documented defaults and listed in assumptions.estimated_fields. Free, no key.

  Connector

• run_batch_backtests

  Helvetic Research

  Run several previously created portfolio strategies in one call and get all backtest_ids back together. Use when comparing allocation variants (e.g. 60/40 vs 70/30 vs 50/50): create each with create_strategy, then run them here instead of calling run_backtest repeatedly. Follow up with compare_backtests to rank them. strategy_ids: comma-separated strategy_ids from create_strategy

  Connector

• research_strategy_schema

  Helvetic Research

  Return the full JSON contract for run_quant_research strategies - every supported field, operator, and option for signal, futures/commodity, and synthetic-options strategies. Call this only when you need details beyond the worked example in run_quant_research (e.g. options legs, stop-loss/take-profit, VIX-aware filters).

  Connector

• get_top_trading_strategies

  Helium MCP Server - News, Markets & AI

  Get the top-ranked short volatility and long volatility option trading strategies. Returns two ranked lists — short_volatility (sell premium / theta strategies) and long_volatility (buy premium / gamma strategies) — each containing up to `limit` tickers. Each entry has the same fields as get_ticker: - ticker, name, latest_price, page_url - bullish_case, bearish_case, potential_outcomes, takeaway, analysis_date (AI-generated, when available) - price_forecast_days, price_forecast_percent, price_forecast_lower/upper_bound_percent (when available) - iv_rank_percentile (0-100, IV rank over past year, when available) - short_vol_call, short_vol_put: best short volatility option packs (when available) - long_vol_call, long_vol_put: best long volatility option packs (when available) Sort options: - "helium_rank" (default): Helium AI edge score — best overall expected value - "odds_of_profit": Highest probability of profit - "historical_performance": Best annualized historical P&L across backtested trades - "reward_to_risk": Best reward-to-risk ratio - "smallest_max_loss": Strategies with the smallest maximum possible loss Args: sort: Ranking method (default "helium_rank"). One of: 'helium_rank', 'odds_of_profit', 'historical_performance', 'reward_to_risk', 'smallest_max_loss'. limit: Number of results per strategy type (1-20, default 5).

  Connector

• export_backtest

  Backtest360

  Export a multi-strategy comparison as an Excel workbook. Quota-counted; needs a key whose plan includes full-metrics export (a 403 means the configured key's plan does not — do not retry). Returns the workbook base64-encoded — decode and write it to a ``.xlsx`` file. Args: data_source: Shared data source (same shape as run_backtest). strategies: Same shape as compare_backtests' ``strategies``. include_benchmark: Add a buy-and-hold benchmark to the export. Returns: {"filename", "content_type", "size_bytes", "content_base64"}. A 400/422 rejection returns {"accepted": false, "error": ...}; capacity/timeout/permission failures raise a tool error. If the encoded workbook would exceed the output size limit, raises a tool error — narrow the request (shorter date range, fewer strategies, coarser frequency) and retry.

  Connector

• crypto_price

  Inferventis — Financial Data, News & Web MCP

  Retrieves real-time price data for any cryptocurrency listed on CoinGecko. Returns the current price in any fiat currency, 24-hour percentage change, market capitalisation, and 24-hour trading volume. Supports all major cryptocurrencies including Bitcoin (BTC), Ethereum (ETH), Solana (SOL), XRP, Cardano (ADA), Dogecoin (DOGE), Polygon (MATIC), Chainlink (LINK), Avalanche (AVAX), and 10,000+ additional coins. Use crypto_price when an agent needs the full market picture for a digital asset — price, change, market cap, and volume in one call. Prefer crypto_price_lite when only the spot price and 24h change are needed and a smaller response payload is preferred. Use crypto_fx_rates (via CoinAPI) when converting a specific amount between a cryptocurrency and fiat, or between two cryptocurrencies. Do not use this tool for fiat-to-fiat currency conversion (e.g. USD to EUR) — use currency_convert instead. Do not use when historical price data for a specific past date is required — this tool returns live spot prices only.

  Connector

• crypto_price_lite

  Inferventis — Financial Data, News & Web MCP

  Retrieves the current spot price and 24-hour change for any cryptocurrency using the CoinGecko public API. Returns price, percentage change, and a timestamp. This is a lightweight variant of crypto_price that omits extended market data (market cap, volume) — use it when only the raw price and 24h direction are needed. Prefer crypto_price when the agent also needs market capitalisation, trading volume, or richer structured output. Use crypto_fx_rates when converting a specific amount between a cryptocurrency and fiat (e.g. 'convert 0.5 BTC to USD') rather than looking up a spot price. Supports all major coins including BTC, ETH, SOL, XRP, ADA, DOGE, and 10,000+ CoinGecko-listed assets. Accepts ticker symbols (BTC, ETH) or full names (bitcoin, ethereum). Target currency defaults to USD but accepts any ISO 4217 code.

  Connector

• currency_convert_open

  Inferventis — Financial Data, News & Web MCP

  Converts a monetary amount between two fiat currencies using live exchange rates from an open currency exchange API. Returns the converted amount and the rate applied. Use currency_convert_open as an alternative live-rate source when currency_convert (Frankfurter/ECB) or currency_fx_lite are unavailable or rate-limited. The underlying source is an open public exchange rate feed suitable for informational use. Prefer currency_convert or currency_rates when ECB-auditable Frankfurter rates are required for accounting or compliance. Prefer currency_convert_lite for the same minimal output (amount + rate) backed by ECB/Frankfurter rates. Prefer currency_fx_lite for lightweight mid-market conversions. Does not support cryptocurrency pairs — use crypto_fx_rates for any conversion involving a digital asset.

  Connector

• list_vaults

  mcp

  List all stablecoin yield vaults available on ACCRUE with their current live APYs, risk tiers, chains, and underlying protocols. Returns spot, 7-day realized, and 30-day realized APYs for each vault. Use this when the user asks "what vaults are available", "what strategies does ACCRUE offer", or wants to browse options.

  Connector