BTC DCA Engine
Historical dollar-cost-averaging simulator for Bitcoin and other assets.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~3,005Token（工具定義）
~7.6 KB典型回應大小
顯著的注意力影響（128k 上下文的 2.35%）
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"btc-dca-engine": {
"url": "https://btcdcaengine.com/mcp"
}
}
}遠端端點
https://btcdcaengine.com/mcpstreamable-http它能做什麼
工具清單
工具（4）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_assets
Assets this endpoint can simulate, with the date each series starts and ends. Call before composing a plan so start dates fall inside coverage.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢data_status
The vintage of the loaded price data and how often it refreshes.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢run_dca(asset, type, amount, frequency, start_date, ...)
Simulate one dollar-cost-averaging plan against real historical closes. Returns totals, end-of-year checkpoints and a share_url that opens the same run in the app.
輸入結構描述
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"description": "Asset key from list_assets, e.g. \"btc_daily\", \"Ethereum\", \"S&P 500\"."
},
"type": {
"description": "\"dca\" repeats on the schedule; \"lump-sum\" buys once at the start. Default \"dca\".",
"type": "string",
"enum": [
"dca",
"lump-sum"
]
},
"amount": {
"type": "number",
"exclusiveMinimum": 0,
"description": "USD per contribution, or the single amount for lump-sum."
},
"frequency": {
"description": "Contribution cadence. Default \"monthly\". Quarterly is the coarsest offered: wider gaps behave like a few lump sums (see the knowledge base, \"The gap between buys\").",
"type": "string",
"enum": [
"daily",
"weekly",
"monthly",
"quarterly"
]
},
"start_date": {
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"description": "First scheduled contribution."
},
"end_date": {
"description": "Window end. Defaults to the last loaded close, never a relative \"today\".",
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
},
"wait_periods": {
"description": "Save this many scheduled contributions as cash before the first purchase.",
"type": "integer",
"minimum": 0,
"maximum": 9007199254740991
},
"last_buy_date": {
"description": "Stop buying here and hold to end_date.",
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
},
"as_of": {
"description": "Pin the answer to this data vintage so the share link keeps returning the same number.",
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
},
"settings": {
"description": "Chart overlays carried into share_url, and the figures they add to each summary. Flags marked \"Pro only\" need a signed-in Pro account or a Pro API key; without one, the call returns an error naming the setting.",
"type": "object",
"properties": {
"fng": {
"description": "Draw the Fear & Greed overlay on the shared chart.",
"type": "boolean"
},
"log": {
"description": "Log scale on the shared chart.",
"type": "boolean"
},
"lump": {
"description": "Pro only. Lump-sum benchmark: the same total bought at once on day one. Adds lump_sum_equivalent_final_value to the summary and the overlay to share_url.",
"type": "boolean"
},
"cpi": {
"description": "Pro only. Inflation arm: what the contributed cash is worth after CPI-U. Adds cash_after_cpi to the summary and the overlay to share_url.",
"type": "boolean"
},
"mayer": {
"description": "Pro only. Mayer Multiple overlay on the shared chart.",
"type": "boolean"
},
"risk": {
"description": "Pro only. Adds annualized sharpe and sortino to the summary.",
"type": "boolean"
},
"smart": {
"description": "Pro only. Buy rule: a signal read on each purchase date, two thresholds, and a multiplier for each of the three bands they make. `true` is the Mayer default (0.8/2.4 — buy as usual, skip above 2.4); an object sets its own. Adds `rule` and `rule_finding` (cost per unit against flat purchases from fixed starts) to the summary and the rule to share_url.",
"anyOf": [
{
"type": "boolean"
},
{
"type": "object",
"properties": {
"signal": {
"description": "Which reading decides each purchase. mayer (default): price vs its 200-day average, Bitcoin, Ethereum, Solana and XRP. fng: the alternative.me Fear & Greed index (0-100), the same four assets. dd: percent below the running high close, any market asset (not bonds or index levels).",
"type": "string",
"enum": [
"mayer",
"fng",
"dd"
]
},
"low": {
"description": "Lower threshold, from the signal's own list — mayer 0.5/0.6/0.7/0.8/0.9/1/1.2/1.5/2/2.4/3; fng 10/20/25/30/40/45/55/60/70/75/80/90; dd 10/20/30/40/50/60/70/80. Defaults mayer 0.8, fng 25, dd 20.",
"type": "number"
},
"high": {
"description": "Upper threshold, from the same list and above low. Defaults mayer 2.4, fng 75, dd 50.",
"type": "number"
},
"below": {
"description": "Multiplier on the scheduled amount when the reading is under low: one of 0, 0.25, 0.5, 1, 2, 3, 4, 6. 0 skips the purchase (that money is not invested).",
"type": "number"
},
"between": {
"description": "Multiplier when the reading is between the thresholds, same list. Default 1.",
"type": "number"
},
"above": {
"description": "Multiplier when the reading is over high, same list. Defaults: mayer 0 and fng 0 (skip the euphoric top), dd 2 (double in a deep drawdown).",
"type": "number"
},
"bank": {
"description": "Hold and deploy: the cash a band below 1× withholds is kept and spent on the next purchase the rule does not scale down, and counts as invested from the day it was scheduled. With no band above 1× the rule then invests the same total as flat purchases, so final value is comparable too. Any pile still standing at the end is reported as cash_held. Default false.",
"type": "boolean"
}
},
"additionalProperties": false
}
]
}
},
"additionalProperties": false
},
"include": {
"type": "object",
"properties": {
"ledger": {
"description": "Per-purchase rows: \"none\" (default), \"head\" (first 20), \"all\" (capped at 200).",
"type": "string",
"enum": [
"none",
"head",
"all"
]
},
"checkpoints": {
"description": "End-of-year value points. Default \"yearly\".",
"type": "string",
"enum": [
"yearly",
"none"
]
}
},
"additionalProperties": false
}
},
"required": [
"asset",
"amount",
"start_date"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢compare_plans(plans, as_of, settings, include)
Run up to 5 plans over the same data and rank them by final value (2 without a signed-in Pro account or a Pro API key). Use to compare assets, cadences or start dates side by side. One share_url opens them all together.
輸入結構描述
{
"type": "object",
"properties": {
"plans": {
"minItems": 1,
"maxItems": 5,
"type": "array",
"items": {
"type": "object",
"properties": {
"asset": {
"type": "string",
"description": "Asset key from list_assets, e.g. \"btc_daily\", \"Ethereum\", \"S&P 500\"."
},
"type": {
"description": "\"dca\" repeats on the schedule; \"lump-sum\" buys once at the start. Default \"dca\".",
"type": "string",
"enum": [
"dca",
"lump-sum"
]
},
"amount": {
"type": "number",
"exclusiveMinimum": 0,
"description": "USD per contribution, or the single amount for lump-sum."
},
"frequency": {
"description": "Contribution cadence. Default \"monthly\". Quarterly is the coarsest offered: wider gaps behave like a few lump sums (see the knowledge base, \"The gap between buys\").",
"type": "string",
"enum": [
"daily",
"weekly",
"monthly",
"quarterly"
]
},
"start_date": {
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"description": "First scheduled contribution."
},
"end_date": {
"description": "Window end. Defaults to the last loaded close, never a relative \"today\".",
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
},
"wait_periods": {
"description": "Save this many scheduled contributions as cash before the first purchase.",
"type": "integer",
"minimum": 0,
"maximum": 9007199254740991
},
"last_buy_date": {
"description": "Stop buying here and hold to end_date.",
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
}
},
"required": [
"asset",
"amount",
"start_date"
],
"additionalProperties": false
},
"description": "The plans to compare: up to 2 anonymously or on a Free-account key, up to 5 with a signed-in Pro account or a Pro API key."
},
"as_of": {
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
},
"settings": {
"description": "Chart overlays carried into share_url, and the figures they add to each summary. Flags marked \"Pro only\" need a signed-in Pro account or a Pro API key; without one, the call returns an error naming the setting.",
"type": "object",
"properties": {
"fng": {
"description": "Draw the Fear & Greed overlay on the shared chart.",
"type": "boolean"
},
"log": {
"description": "Log scale on the shared chart.",
"type": "boolean"
},
"lump": {
"description": "Pro only. Lump-sum benchmark: the same total bought at once on day one. Adds lump_sum_equivalent_final_value to the summary and the overlay to share_url.",
"type": "boolean"
},
"cpi": {
"description": "Pro only. Inflation arm: what the contributed cash is worth after CPI-U. Adds cash_after_cpi to the summary and the overlay to share_url.",
"type": "boolean"
},
"mayer": {
"description": "Pro only. Mayer Multiple overlay on the shared chart.",
"type": "boolean"
},
"risk": {
"description": "Pro only. Adds annualized sharpe and sortino to the summary.",
"type": "boolean"
},
"smart": {
"description": "Pro only. Buy rule: a signal read on each purchase date, two thresholds, and a multiplier for each of the three bands they make. `true` is the Mayer default (0.8/2.4 — buy as usual, skip above 2.4); an object sets its own. Adds `rule` and `rule_finding` (cost per unit against flat purchases from fixed starts) to the summary and the rule to share_url.",
"anyOf": [
{
"type": "boolean"
},
{
"type": "object",
"properties": {
"signal": {
"description": "Which reading decides each purchase. mayer (default): price vs its 200-day average, Bitcoin, Ethereum, Solana and XRP. fng: the alternative.me Fear & Greed index (0-100), the same four assets. dd: percent below the running high close, any market asset (not bonds or index levels).",
"type": "string",
"enum": [
"mayer",
"fng",
"dd"
]
},
"low": {
"description": "Lower threshold, from the signal's own list — mayer 0.5/0.6/0.7/0.8/0.9/1/1.2/1.5/2/2.4/3; fng 10/20/25/30/40/45/55/60/70/75/80/90; dd 10/20/30/40/50/60/70/80. Defaults mayer 0.8, fng 25, dd 20.",
"type": "number"
},
"high": {
"description": "Upper threshold, from the same list and above low. Defaults mayer 2.4, fng 75, dd 50.",
"type": "number"
},
"below": {
"description": "Multiplier on the scheduled amount when the reading is under low: one of 0, 0.25, 0.5, 1, 2, 3, 4, 6. 0 skips the purchase (that money is not invested).",
"type": "number"
},
"between": {
"description": "Multiplier when the reading is between the thresholds, same list. Default 1.",
"type": "number"
},
"above": {
"description": "Multiplier when the reading is over high, same list. Defaults: mayer 0 and fng 0 (skip the euphoric top), dd 2 (double in a deep drawdown).",
"type": "number"
},
"bank": {
"description": "Hold and deploy: the cash a band below 1× withholds is kept and spent on the next purchase the rule does not scale down, and counts as invested from the day it was scheduled. With no band above 1× the rule then invests the same total as flat purchases, so final value is comparable too. Any pile still standing at the end is reported as cash_held. Default false.",
"type": "boolean"
}
},
"additionalProperties": false
}
]
}
},
"additionalProperties": false
},
"include": {
"type": "object",
"properties": {
"ledger": {
"description": "Per-purchase rows: \"none\" (default), \"head\" (first 20), \"all\" (capped at 200).",
"type": "string",
"enum": [
"none",
"head",
"all"
]
},
"checkpoints": {
"description": "End-of-year value points. Default \"yearly\".",
"type": "string",
"enum": [
"yearly",
"none"
]
}
},
"additionalProperties": false
}
},
"required": [
"plans"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}社群
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