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I’m a scientist, and I treat trading bots like experiments: build, test, clone, improve, repeat

I’m a scientist by profession, and automated trading has been a hobby of mine for years. I think the reason I enjoy designing trading bots so much is that I naturally approach them the same way I approach experiments in the lab. I don’t really believe a strategy should be built, backtested once, and then immediately trusted with real money. For me, a good strategy should spend a long time in the lab first . You build an idea.. You test it. You collect the data. If it performs well,

五维评分

付费意愿
65
需求真实度
60
个人可落地
65
竞争空间
30
新鲜度
35

AI 分析

痛点:现有交易机器人平台按运行机器人数量收费,导致需要并行做多策略实验的散户/爱好者成本过高,且缺少克隆、变量对比、批量回测的实验管理流程。

目标用户:加密货币/量化交易机器人爱好者、独立交易者、需要并行回测与纸面交易多个策略的人。

证据:Eventually I stopped because 3Commas’ pricing for running multiple bots became too expensive for me. The whole point of my setup was to run many experiments in parallel, and the new pricing made that workflow impractical.

变现:按并行回测/纸面实验数量或计算资源订阅收费,而非按实盘机器人数量;提供自托管授权、历史数据/API增值包。

MVP:用 ccxt + 向量化回测库做网页端:创建策略模板,一键克隆并只改一个参数,批量回测,并排对比收益/回撤/夏普,先只支持纸面交易和 CSV/交易所历史数据。

竞品:3Commas、Cryptohopper、Freqtrade、Hummingbot、TradingView、QuantConnect、Composer

摘要:一名科学家把交易机器人当作实验,习惯 build-test-compare-improve 循环;他多年前用 3Commas 同时跑多个机器人做并行实验,但因多机器人定价太贵而放弃,最近自己搭了环境。这验证了‘低成本并行策略实验管理’的痛点,但竞品多、完整实盘系统对独立开发者偏重。