2025-12-29 18:26:47

An open-source quantitative trading system framework has been released. After a comprehensive security audit and code review, it has been stably integrated with the API of a leading exchange, supporting local rapid deployment and high-frequency interactions. Real-world testing data shows that strategy execution is highly efficient, with a significant improvement in capital flow speed.

The system adopts a modular design, making it easy to customize strategy parameters. For perpetual contracts in the Ink ecosystem, several mature top-tier contract interaction schemes are built-in and can be used directly.

Developers interested in quantitative trading, strategy optimization, or high-frequency interaction implementation are welcome to discuss technical details and explore strategy adaptation issues across different market environments.

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AirdropBlackHole

· 2m ago

Another set of quantitative frameworks, is this one reliable? Can high-frequency interactions truly generate stable profits? I still have some doubts. The perpetual contract solution in the Ink ecosystem is worth trying out. The code audit has been completed, which is somewhat convincing. Modular design sounds good, but I'm worried it might be ineffective in actual use. Has anyone tested it in live trading? Share your real returns, please.

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WhaleWatcher

· 14h ago

Hmm, this framework looks like some effort was put into it, I trust the security audit. Alright, let's give it a try. If the Ink solution works, it really saves effort. What do you mean by high-frequency method? How fast exactly? Is there backtest data available for review? This modular design sounds good. Can you modify the parameters yourself? But I still want to see actual cases that have been run; just talking without proof is a bit uncertain. Is the contract interaction scheme open-sourced, or do we need to integrate it ourselves? If this really stabilizes, it will spread within the community.

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ValidatorViking

· 14h ago

audited code is one thing, but where's the actual battle data? ran this against ink perps yet or just lab tested...

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RebaseVictim

· 14h ago

Hmm, this framework does seem to have some substance, and modular design is quite practical. How did the security audit go? Is it really reliable? Worried about pitfalls. The Ink ecosystem has ready-made solutions, which saves effort. Be careful with high-frequency interactions; slippage can be deadly. Want to see real-world testing data, but afraid of a replay leading to trading failures. Local deployment is ready; manage your own risks. The biggest risk with this kind of framework is setting the parameters incorrectly; you could lose everything with one bad move. How many strategies can it run simultaneously? Is there a limit?

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NoStopLossNut

· 14h ago

Speaking of which, passing the security audit for this framework definitely adds points, but can high-frequency interactions really be stable? It still feels like the risks need to be carefully assessed. Modular design sounds good, but I wonder if it will encounter issues when actually running. Are there any pitfalls in Ink's contract interactions? Is the yield really that exaggerated, or is it just backtest data? If the code is open source, can it be reviewed? It seems like a good idea to study the approach. Once this quantitative framework is set up, it should be a passive income, right? Why are some people still losing money?

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LiquidationKing

· 15h ago

Wow, finally someone open-sourced this thing. I have to give it a try. High-frequency interaction is really a must-have; I used to do everything manually. Are the Ink perpetual contract solutions all built-in? Impressive. Has the code been audited? Dare to run with real money? How is this modular design? Can I add my own strategies? How stable are the APIs of major exchanges? Is slippage well-controlled? Is local deployment fast? I don't want to rely on cloud servers. Seems pretty good. When will there be detailed documentation?

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