Crypto DCA Backtester

核心功能为模拟每周DCA定投与等额总资本的一次性投资，对比两者的最终市值、投入资本及回报率，采用CoinGecko免费API的历史价格数据（最长365天）。典型场景包括抉择入场策略、回测特定币种过往表现、跨币种对比策略等。通过命令行输入币种、回测天数、每周定投金额等参数，输出两类策略的对比数据及胜出者，无需API密钥。

ssidharhubble

热度 15.40

最近更新 2026-07-26 13:00:48

分类：数据依赖：代码执行 / 第三方 API应用场景：财务 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add crypto-dca-backtester

Metadata

name: crypto-dca-backtester
description: Backtest dollar-cost averaging (DCA) against lump-sum investing on any coin's real historical price data, using the free CoinGecko market_chart API (no API key required, up to 365 days of daily history). Built for crypto traders and passive-income investors deciding between DCA and lump-sum entry strategies before committing capital. Simulates weekly contributions and compares final portfolio value, invested capital, and percent return against a lump-sum baseline of the same total capital deployed on day one. Complements trading, whale-tracking, and DeFi yield skills by covering the entry-strategy decision, which is distinct from picking what to buy or where to farm yield.
compatibility: Created for Zo Computer
metadata: {"author":"ssyopros.zo.computer"}
allowed-tools: Bash

Crypto DCA Backtester

Simulates weekly dollar-cost averaging vs a lump-sum investment of the same total capital, using real historical daily prices from CoinGecko's free market_chart API. No API key needed.

When to use

Deciding whether to DCA into a position or deploy capital all at once
Backtesting how DCA would have performed on a specific coin over the last N days (up to 365)
Comparing entry strategies across multiple coins before allocating
Building intuition for how DCA smooths volatility vs a single entry point

Commands

python3 scripts/dca_backtest.py --coin bitcoin --days 365 --weekly-contribution 100
python3 scripts/dca_backtest.py --coin ethereum --days 90 --weekly-contribution 250
python3 scripts/dca_backtest.py --coin solana --days 365 --weekly-contribution 100 --json

--coin takes a CoinGecko coin id (e.g. bitcoin, ethereum, solana, matic-network) — use CoinGecko's /coins/list if you need to look one up.

Output

Total invested, end portfolio value, and return % for both DCA and lump-sum, using the same total capital for a fair comparison, plus a declared winner for that specific historical window.

Notes

Data source: CoinGecko free market_chart endpoint, daily granularity, max 365-day lookback on the free tier.
This is a historical return comparison only — it does not model volatility-adjusted or risk-adjusted returns, and past performance over one specific window is not predictive of future results. Not financial advice.
Requests use a curl-style User-Agent; some public API providers block the default Python User-Agent.