FinzData Workspace
AI workspace with FinzData built in: stocks, futures, options GEX, macro, crypto data and code runs.
作者による説明(英語の原文)
Crypto backtesting & Bitcoin cycle analytics. Point-in-time, DSR-corrected, look-ahead-aware.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
Authorization「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
このアドレスはリクエストの header にキーが必要ですが、コネクタを追加するメニューでは設定できません。代わりにClaude Code、Cursor、VS Codeを使ってください。
ターミナルでこれを実行します
claude mcp add --transport http backtesting-arena https://tradingstrategies.work/api/mcp --header 'Authorization: your-value'動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"backtesting-arena": {
"url": "https://tradingstrategies.work/api/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"backtesting-arena": {
"type": "http",
"url": "https://tradingstrategies.work/api/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
このアドレスはリクエストの header にキーが必要ですが、コネクタを追加するメニューでは設定できません。代わりにClaude Code、Cursor、VS Codeを使ってください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
Authorization 秘密 HTTP headerこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月8日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
arena_get_pulseHow hot is the Bitcoin market today? Daily 0-100 heat score for the Bitcoin market, aggregated from 8 components (BTC-Cycle, F&G, Altcoin-Season, Bullmarket-Ampel, Funding-Rate, Hash-Ribbons, Mayer-Multiple, MVRV-Z). Returns score, band label, color, 7d/30d delta, verdict, compon
arena_get_cycleCrypto cycle position — where are we in the cycle? Default BTC: point-in-time 9-indicator aggregation (Pi-Cycle Top & Bottom, Mayer Multiple, weekly RSI, 200-week-MA distance, halving position, Fear & Greed, BTC-dominance trend, mining-difficulty trend — each indicator’s 0-100 su
arena_get_spot_priceCurrent BTC, ETH and SOL spot price — what is Bitcoin (or ETH/SOL) worth right now? Live USDT-quoted last price plus 24h change %, high and low from Binance. Use this to anchor the connector’s own analytics (cycle, historical-analog, gem scores) with the current market price inst
arena_get_stablecoin_supplyAggregate stablecoin supply (crypto-liquidity proxy) — is the liquidity impulse turning or accelerating? macro_regime only gives the 30d delta; this exposes the trend: current supply, 30d/90d change (USD + %) plus a daily time series (`days`, default 365; `resolution` states poin
arena_get_etf_flowsSpot-ETF net flows (USD millions) — is the flow impulse turning or accelerating? The summary only gives point-in-time deltas; this exposes the trend: 30d/90d net flow, a direction label (inflows/outflows/flat) and a daily series (every US trading day: cumulative inflow + that day
arena_get_altcoin_seasonIs it altcoin season? Daily Altcoin-Season indicator (v7 Native-Filter methodology). Returns BTC-, alt- and stablecoin dominance, the 4 Layer-1 signals (alt_dominance, total_market_cap, btc_dominance, stable_dominance — weekly smoothed-Heikin-Ashi directions; weights in methodolo
arena_get_fear_greedHow fearful or greedy is the market right now? Crypto Fear & Greed Index (alternative.me). Returns the current `value` (0-100) and `classification` (extreme fear / fear / neutral / greed / extreme greed) as their own fields, plus `history` — the last 90 daily readings by default,
arena_get_bullmarket_ampelIs this still a bull market? Bitcoin Bullmarket-Ampel current state (0-5 active stages). Returns active_count, a stages[] breakdown (each stage with key, label, active and `since` = first day of its current state; null when the state predates the 400-day lookup) and stage_history
arena_get_funding_rateAre longs or shorts paying right now? Latest BTC perpetual funding rate, averaged across up to 4 exchanges (Binance, Bybit, OKX, Deribit; 8h settlement cadence). Returns the day's averaged value plus each exchange's own value (no moving average or Z-score — for the history use ar
arena_get_macro_regimeWhat is the macro backdrop doing? Daily Macro Regime snapshot from 18 components in 6 tiers (Liquidity 30%, Financial Conditions 20%, Risk Appetite 15%, Crypto Liquidity 10%, Business Cycle 15%, Inflation/Real Rates 10%). FRED-sourced. Returns composite_score (0-100), regime_labe
arena_get_btc_market_structureIs the trend up or down, and how fresh is the flip? Daily Bitcoin market structure from 1000-bar Phantomflow adaptation (BTCUSDT 1d). Returns current_trend (up/down/sideways), last trend change timestamp, counts of waves + fractals, last-5 fractals on each side (up = pivot highs,
arena_get_key_levelsWhich price levels matter above and below spot? Reproducible Bitcoin structural levels on BOTH sides of spot, in TWO distinct provenance classes. (1) resistance/support: swing-pivot clusters — where past pivot highs+lows cluster into price zones (touch-count, band, last-touch dat
arena_get_iv_snapshotWhat is the options market pricing in? Latest Deribit volatility snapshot for BTC or ETH. Returns DVOL (30d vol index), constant-maturity ATM implied vol (30/60/90/180d via options chain), 30d realized vol, and `vol_risk_premium_30d`, which is the TRAILING spread: ATM implied vol
arena_list_onchain_seriesWhich on-chain series are available? Lists all 71 available Bitcoin Research Kit (BRK) on-chain series across the groups pilot, sentiment, mining, supply, cointime, activity, liquidity (e.g. MVRV, NUPL, SOPR, Realized-Price, Mayer, Puell, STH/LTH SOPR, Hash-Ribbons). Returns id +
arena_get_onchain_latestWhat does this on-chain metric read right now? Returns the most recent value of ONE on-chain series from the Bitcoin Research Kit as { series_id, metric_name, date, value }. Cheapest way to answer "what is X right now" (MVRV, SOPR, realized price, hash rate, …). Discover valid se
arena_get_sth_cost_basisWhat did recent buyers pay on average — and how far is spot from that? Latest BTC short-term-holder cost basis (realized price of coins younger than ~155 days, BRK brk_sth_realized_price), derived STH-MVRV (spot ÷ STH cost basis), an in_loss flag, plus ±1σ/±2σ bands: basis × exp(
arena_get_onchain_historyHow has this on-chain metric moved over time? Returns the full TIME SERIES of one on-chain metric from the Bitcoin Research Kit — date/value pairs in ascending order, with history back to 2009 for most series. Use it for trend and percentile work; for the single current reading c
arena_get_max_painWhat happened at the last Deribit expiry? Max pain and how spot settled against it: max_pain_strike, spot_at_expiry, %-diff, put_call_ratio, notional. Plus up to 10 upcoming expiries, each with current live max-pain level, days_to_expiry, open_interest_contracts and open_notional
arena_get_max_pain_historyDoes max pain actually pull price to the strike? Settled Deribit BTC options expiries with the max-pain level we compute per expiry, for measuring the convergence question: does spot drift toward the max-pain level as expiry approaches? Each row: expiry_date, max_pain_strike, spo
arena_statusAm I connected, and what can this key do? Returns auth status (key kind: oauth connector or bearer API key, tier), server version, current UTC time, and the rate-limit state (hour/day used, remaining, reset) WITHOUT consuming extra quota beyond this call itself. Call this first w
arena_list_strategiesWhich strategies can I backtest here? Lists all backtest strategies (key, label, plan, supported asset classes, primary indicators, free_params = number of user-tunable parameters incl. mode switches). Filterable by asset class and plan. Use this before calling arena_run_backtest
arena_list_universesWhich asset universes can I test against? Lists all crypto asset universes (BTC, top-10 crypto, top-50 crypto, etc.) — the underlying pair-sets used by custom-report and universe-backtest endpoints. [Free tier]
arena_get_universeWhich pairs are in this universe? Returns one pair universe in full: its id, label, selection rule and the complete list of pairs it currently contains. Use it to see what you are about to test BEFORE handing a universe_id to arena_run_universe_backtest, or to resolve a universe
arena_get_strategy_insightsWhich strategy and interval combinations actually performed? Aggregated backtest performance per (strategy × interval) cell. If `strategy` AND `interval` provided, returns detail with per-asset breakdown + param variants. Otherwise returns the matrix. Free tier is limited to the
arena_get_strategy_performanceHow did this exact strategy, asset and interval perform? Aggregated backtest performance for ONE specific (strategy, asset, interval) combination. Returns run_count, avg_cagr, avg_win_rate, avg_drawdown, effective_years, vs_buy_hold comparison (beats_buy_hold, cagr_delta, plus no
arena_get_strategy_filter_effectWhat would each entry filter have changed for this strategy? Per-(strategy, asset, interval) filter-effect analysis. Returns baseline-stats (no filters) + each observed filter-variant's stats with cagr_delta / drawdown_delta / win_rate_delta vs the time-overlap-matched baseline +
arena_get_strategy_performance_by_regimeIn 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
arena_get_edge_reportsWhich entry filter carries a real edge? Platform-wide aggregated analysis: how each Pro+ entry filter (200 WMA, ATR low/high/expansion, Altcoin Season, Bullmarket confirm/strict) affects strategy CAGR — baseline vs. filtered, asset-equal-weighted (per-asset medians over param-ded
arena_list_backtestsWhich backtests have I run? Lists the backtest runs belonging to the authenticated user — newest first, with id, strategy, pair, interval, date range and headline metrics per run. Use it to find a run_id, then call arena_get_backtest for its detail or arena_get_backtest_trades fo
arena_get_backtestWhat exactly did that backtest do? Returns the full record of ONE backtest run by id: strategy, pair, interval, date range, parameters, filters and the aggregate metrics (CAGR, total return, win-rate, max drawdown, trade count, Buy & Hold comparison, net-of-fees figures). Only yo
validate_strategyDoes this strategy survive an honest test? Backtest a trading strategy honestly — look-ahead-aware validation; signal_list/trade_list also get the probabilistic Sharpe ratio (psr, Bailey & López de Prado) — no correction for the number of variants a caller has tried. Returns an E
arena_run_backtestHow would this strategy have performed? Run ONE strategy on ONE pair over a date range and get the full result: CAGR, total return, max drawdown, win-rate, trade count, Buy & Hold comparison, net-of-fees figures, and a run_id for later retrieval. Synchronous, typically 3–10s. Use
arena_compare_strategiesWhich of these strategies performed best on the same data? 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
arena_run_universe_backtestDoes this strategy hold up across a whole universe? Runs it against every pair in the universe. Pair cap depends on your API tier: Pro 50, Power 250 — Power covers crypto-top-250 in ONE job, and a single job keeps the ranking on one pair set (merging results across different pair
arena_get_job_statusIs my universe backtest finished? Polls an async job by job_id (created via arena_run_universe_backtest). Returns status (pending/running/completed/failed), progress_pct, pairs_completed, and once completed: the full result (summary + per-pair results). [Free tier]
arena_run_grid_backtestWould a grid bot have made money here? Simulate a GRID BOT (buy-low / sell-high ladder inside a fixed price range) on historical candles. Returns final value, return %, CAGR, trade count, fees paid and a Buy & Hold comparison — plus `zerlegung` (spot runs): `decomposition` splits
arena_get_gem_scoresAltcoin screener ranking — which altcoins look strong right now? Today's CoinGecko Top-200 minus stablecoins and tokenized fiat, scored by a composite of 3 factor groups: Mean-Reversion (A), Tokenomics (B), Market-Structure (C). Each score carries `plain` (one sentence: rank with
arena_get_volatility_historyHow volatile has Bitcoin been? Daily Bitcoin volatility time series: realized volatility (30d & 90d, √365-annualized — calendar days, the same basis as DVOL — close-to-close) and ATR% (Wilder EMA-14, captures intraday range + gaps), on the same scale. Ranks come in two flavours a
arena_list_knowledgeWhat knowledge objects exist here? Discover what Knowledge Objects exist: lists all published types + their subjects (with min_tier, api_path, seo_slug, latest as_of). Use this BEFORE arena_get_knowledge to learn valid type/subject pairs instead of guessing. New types appear auto
arena_get_knowledgeWhat does the platform know about this subject? Fetch a versioned, explainable Knowledge Object by type + subject (e.g. type='market_regime', subject='GLOBAL'). Returns the current published envelope: payload, explanation (factors + weights + confidence), provenance (inputs + par
arena_dip_decisionBuy now or wait for the dip? Decision-math over the user's OWN assumptions (target/dip prices, probabilities, capital). Two modes: "compare" = expected value of Buy-Now vs Wait vs Split + the breakeven dip probability (prices as MULTIPLES of today); "allocate" = the risk-adjusted
arena_get_historical_analogWhat happened historically after the Bitcoin cycle looked like this? Conditional forward-return distribution for a named preset cycle state — over N DISTINCT historical episodes matching that state (matched_episodes), returns median/IQR/positive-share forward returns (30/90/180/3
arena_get_robustness_fieldIs this backtest result real, or a lucky cell? Assess one backtest result against its neighborhood instead of trusting a single "+X% CAGR" cell. Given a (strategy, interval, pair) and YOUR result (user_cagr, optional user_sharpe), returns: the cross-asset distribution of the SAME
arena_is_distinguishableDo these two backtest figures actually differ? Check before ranking them. Pass the two values as `a` and `b` (same metric, same basis) plus `axes` — which arbitrary choices went into them — and the tool returns whether their gap clears the MEASURED noise floor of those choices, a
arena_get_indicator_snapshotWhat do the classic indicators read right now? Current RSI(14), MACD(12/26/9), Bollinger(20,2), ATR(14) and OBV for a pair — each with a PERCENTILE RANK against that indicator's own history on that pair, plus the observation count — the rank turns a raw reading into a placement.
arena_get_signal_contextShould I take this entry? Answers it for one (strategy, pair, interval) in ONE call instead of seven. Aligns what each entry filter historically did to this strategy (arena_get_strategy_filter_effect) with where that filter stands TODAY (bull-market gauge, altcoin-season signal,
arena_get_asset_snapshotWhere does this coin stand? ONE call per Binance USDT pair instead of six: last daily close, 7/30/90/365-day returns, relative strength vs BTC and vs ETH on the same horizons (with the MEASURED base rate next to it — the median altcoin loses against Bitcoin, so a positive number
arena_batchSeveral market snapshots in ONE call instead of one roundtrip per read. Batchable reads (14): spot_price, pulse, cycle, fear_greed, funding_rate, macro_regime, iv_snapshot, etf_flows, stablecoin_supply, mayer_multiple, onchain_latest, max_pain, altcoin_season, bullmarket_ampel. P
arena_call_extendedGateway to the EXTENDED tools of this server — listed here in one line each instead of individually, to keep the tool list short. Use it when no listed tool fits: per-metric daily history series, subscriptions, chart images, niche primitives. mode="call" runs the tool with `argum
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント Schoasch で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
173ミリ秒で応答(HTTP 200)
サインイン不要
49件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:Authorization
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は–、最新バージョン(1.13.0)がレジストリに届いたのは24 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:FinzData Workspace, FinzData, Agentwallet
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
AI workspace with FinzData built in: stocks, futures, options GEX, macro, crypto data and code runs.
Point-in-time stocks, ETFs, ticks, futures, options GEX, FX, crypto, macro, COT, 13F; backtests.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Battle-tested market intelligence for AI agents — every claim backtested, versioned, and explainable. Evidence and base rates, never financial advice.
Skill package for AI agents and LLMs that need programmatic access to the [Backtesting Arena](https://tradingstrategies.work) API: daily Bitcoin / crypto cycle scoring, on-chain indicators, aggregated strategy insights, and on-demand backtests.
Three channels, one product:
| Channel | Auth | Use case |
|---|---|---|
| Public | none, fair-use cache | quick reads, no signup |
| REST + MCP | Bearer API key (Free tier available) | full surface, higher quotas |
| x402 pay-per-call | EIP-3009 wallet signature (USDC on Base) | autonomous agents, no account |
The full capability descriptor an agent should load is SKILL.md.
# Coming soon when /install-skill GA's; for now clone + reference manually:
git clone https://github.com/Schoasch/skill-backtesting-arena.git
Reference skills/backtesting-arena/SKILL.md as a context document in your agent runtime, or use the MCP server directly (see below).
curl https://tradingstrategies.work/api/arena-pulse/today
Want higher quotas + full surface? Get a free Bearer key.
# First call returns HTTP 402 + payment instructions:
curl -i https://tradingstrategies.work/api/v1/agent/btc-cycle/latest
curl https://tradingstrategies.work/.well-known/x402
Full Python client showing the EIP-3009 sign + retry pattern: examples/python-x402-client.py.
Two transports — HTTP (recommended, requires Bearer key) or stdio.
HTTP variant (drop into claude_desktop_config.json → mcpServers):
{
"backtesting-arena": { "url": "https://tradingstrategies.work/api/mcp", "headers": { "Authorization": "Bearer sk-arena-…" } } }
Full example incl. stdio variant + Cursor config: examples/claude-desktop-config.json.
| File | What |
|---|---|
examples/curl-snippets.sh | Bash snippets for public + Bearer endpoints |
examples/python-x402-client.py | Python EIP-3009 signing + retry for x402 endpoints |
examples/typescript-mcp-client.ts | Connect to MCP server, list the 49 default tools, call one |
examples/claude-desktop-config.json | Drop-in config for Claude Desktop / Cursor |
For AI tooling that auto-discovers APIs:
/openapi.json — full OpenAPI 3.1 spec, ~70 paths, x-x402 extension on agent endpoints/skill.md — this skill (canonical, kept in sync with this repo)/llms.txt — LLM-friendly summary/.well-known/api.json — cross-tool discovery hub/.well-known/x402 — Bazaar-v2 descriptor of paid endpoints (alias .json)/.well-known/ai-plugin.json — OpenAI-style plugin manifestOne subscription covers both REST and MCP channels. Pricing is reviewed quarterly against agent-economy benchmarks (changelog).
MIT (this skill package). The Backtesting Arena API itself follows the Terms.
Solo-built crypto strategy backtesting platform from Germany/Austria. Public since 2026. Educational and research focus, not signal-selling.
Contact: info@tradingstrategies.work · Issues: github.com/Schoasch/skill-backtesting-arena/issues