MacroView turns messy market data into decisions you can act on in 10 seconds. A quant engine scores every asset and reads the macro regime (Risk-On / Risk-Off), then Claude explains it in plain language: bull case, bear case, key levels, and why it matters. AI technical + macro analysis on every asset Macro calendar (never get blindsided by CPI or the Fed) Macro-chat: ask "what if CPI runs hot?" and get a grounded answer 10-year backtest with a full trade journal — losses included
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Maker
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Hey Product Hunt,
I built MacroView solo because I was tired of the gap in retail trading tools: you either get dumbed-down "buy/sell" apps with no reasoning, or a Bloomberg terminal you need a finance degree to read.
So I built the in-between. A deterministic quant engine decides the signal (trend, momentum, volatility regime), and Claude explains it like a strategist would, never inventing the direction, just making it readable. The AI narrates and the math decides.
Two things I care about: Honesty : there's a 10-year out-of-sample backtest with a trade-by-trade journal, including the assets it does badly on. Shown, not hidden. Depth without the jargon wall : a macro-chat lets you interrogate any asset ("why is this NEUTRAL?", "what happens if CPI runs hot?") in plain English.
The ambition is bigger: alt-data like card-spending flows and satellite imagery — the edge that costs hedge funds six figures — made accessible to individuals, step by step.
Would love your feedback, and happy to answer anything about the quant model or the AI layer.
It was really fun to build this despite all the problems a founder has to go through. Since I'm 16 years old, I had to work after school and I have to admit that this was quite difficult🥲. But I'm very proud of my work and I hope it will help you either to understand the global regime of the market, either to take better trading decisions ; clarity is key.
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the inclusion of losses in the trade journal is a really honest touch, shows the team cares about proving the edge rather than just selling a dream
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The "losses included" honesty in the 10-year backtest journal is refreshing. So many tools show you only the wins.
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Maker
@taagzahide13498 Yes ! I think honesty is really important, especially in the field of finance
the inclusion of losses in the trade journal is a really honest touch, shows the team cares about proving the edge rather than just selling a dream
The "losses included" honesty in the 10-year backtest journal is refreshing. So many tools show you only the wins.
@taagzahide13498 Yes ! I think honesty is really important, especially in the field of finance