PrivacyQuant

Building private quant research for crypto and tokenized real-world markets.

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[PrivacyQuant @QuantPrivacy]

PrivacyQuant is live.

CA: 0x0035ce0e701e7b3c4ef462e2e5fc635a43c5c28f

Explore historical BTC, ETH & SOL strategies. Compare risk, fees and rebalance rules. Save your work encrypted. Then try ZK proofs and encrypted calculations in the Privacy Lab.

Research. Privacy. Possibility.

https://t.co/7qiao07fIU @RobinhoodApp

[PrivacyQuant @QuantPrivacy]

https://t.co/vH4IYr4tiU

[PrivacyQuant @QuantPrivacy]

The SEC just approved a temporary, conditional path for limited tokenized U.S. stock trading on certain onchain venues.

The important part is not just tokenization. It is the market infrastructure around it: transparent data, records, safeguards, controlled liquidity, and rules built for onchain markets.

PrivacyQuant is not an execution venue. We are building the research layer agents and investors can use to interrogate market data before they form a view or deploy capital.

This is where capital markets are heading. @RobinhoodApp $PQUANT

[PrivacyQuant @QuantPrivacy]

gQuant @robinhoodapp CT.

🇺🇸 dev is up. More to build. Imma takeover on what our Chinese dev left us off with for the massive Chinese quant markets expansion we’re doing.

More upgrades to our current tech as well. Will be a long day

Stay with us for the build $PQUANT.

[PrivacyQuant @QuantPrivacy]

Telegram been asking how much load we can actually take in if our project gets hyped.

Numbers are in the post below. If we ever get close to that number we can always upgrade.

$PQUANT, the first quant intelligence layer of @robinhoodapp chain.

[PrivacyQuant @QuantPrivacy]

We now have 8× H200s behind PrivacyQuant. ~1.1TB HBM3e.

Using a 70B benchmark, then cutting peak throughput in half for reality, that is roughly 2,000–3,000 active AI agents at one request per minute.

Model capacity only. Data-provider limits are separate. @RobinhoodApp

[PrivacyQuant @QuantPrivacy]

“More turnover” does not automatically mean “money is flowing in.”

Mainland–Hong Kong Activity is shipping in a few hours. It will track turnover trends, flag unusual activity against history, and compare where trading is concentrating across the connect.

But it will keep the distinction clear: turnover is buy plus sell activity. It is not net inflow. That difference matters. @RobinhoodApp

[PrivacyQuant @QuantPrivacy]

面向中文市场，我们优先做的不是堆更多数据源，而是先把真正影响研究判断的数据适配好、对齐好。

第 层是中心化交易所衍生品。PrivacyQuant 现有研究目录已支持以 Binance、OKX 和 Bybit 为例的市场查询。我们优先关注资金费率、未平仓量、清算、多空账户和持仓比、主动买卖流，以及交易对、合约口径和时间戳之间的差异。

第二层是现货和订单簿：ticker、成交、K 线、深度和订单流。第三层是链上流动性：DEX 池、流动性、OHLCV、TVL、稳定币和预言机数据。

重点不是把不同交易所的数据混成, 个“价格”。每个适配器都需要保留来源、获取时间、市场口径和截断状态，让研究者知道数据来自哪里、覆盖到哪里、缺了什么。

这也是我们面向中文社区建设量化研究层的方式：先做可验证的数据基础，再做中文体验。保持只读，不接钱包，不执行交易。@RobinhoodApp

[PrivacyQuant @QuantPrivacy]

@solMclovin420 When main dev wakes up we can make another one yes.

[PrivacyQuant @QuantPrivacy]

Headline inflation does not tell you what your own money is buying.

Cost of Living is shipping today with a customizable household basket, inflation trends, and purchasing-power scenarios. $PQUANT

One important rule in the build: monthly official statistics and daily prices are not the same thing. We will label the difference instead of blending them into one fake real-time number. @RobinhoodApp

[PrivacyQuant @QuantPrivacy]

The end goal is not “China data” as a checkbox.

It is a research layer that can answer Chinese-market questions with clear coverage, timestamps, source context, and honest limits.

Still read-only. Still no wallet, custody, or execution. Just better intelligence before a decision. @RobinhoodApp

[PrivacyQuant @QuantPrivacy]

If we are serious about Chinese markets, a translated interface is the easy part. @robinhoodapp

The harder part is the data architecture underneath it. That is the layer PrivacyQuant is designing next.

$PQUANT thread 🧵

[PrivacyQuant @QuantPrivacy]

The pipeline we are working toward is:

source data → normalized records → market-specific research tools → Chinese-language output

Keep raw data separate from interpretation. Do not let an AI invent a feed, hide a delay, or turn different market structures into one fake universal price.

[PrivacyQuant @QuantPrivacy]

First quant intelligence on @robinhoodapp chain.

No competitors so building at our own pace.

[PrivacyQuant @QuantPrivacy]

All night with our Chinese developer, and the first beta of PrivacyQuant’s Chinese-market intelligence layer is built.

Before the wider rollout, we are putting it in the hands of a small group of Chinese Telegram members first. We want real feedback on the research flow, market context, and what still needs work before we scale it.

More details soon.

https://t.co/yCeI42GJM3

@RobinhoodApp

[PrivacyQuant @QuantPrivacy]

如果你在中国做研究、交易、写代码，或者长期关注中文市场，欢迎来 Telegram 直接聊。

我们不想靠猜。你们告诉我们该先做什么。

https://t.co/dDS338p8tZ

@RobinhoodApp

[PrivacyQuant @QuantPrivacy]

中文界面上线，只是第. 步。

PrivacyQuant 正在把中文市场当作真正的产品方向，不是, 次翻译，也不是为了追 波流量。 🧵👇 $PQUANT @robinhoodapp

[PrivacyQuant @QuantPrivacy]

我们已经有 位中国开发者加入团队，帮助我们把这个方向做扎实。

目标很简单：美国市场重要，中国市场也 样重要。PrivacyQuant 想同时服务两边真正做研究的人。

[PrivacyQuant @QuantPrivacy]

Did an investment actually perform, or did the RMB move? $PQUANT

RMB Lens is shipping tomorrow. It will show the same return in CNY and USD, then separate the asset move from the currency effect.

That sounds basic, but it changes how you read a trade when your base currency and the market’s quote currency are not the same. Built with our Chinese developers. @RobinhoodApp