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Kalshi provides a [WebSockets API](https://trading-api.readme.io/reference/introduction) for real-time, two-way communication. This would be highly beneficial (and arguably necessary) for observing pr…
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Awesome library! One minor suggestion is that
```rust
let kalshi = Kalshi::new(TradingEnvironment::DemoMode)
```
is a bit verbose. You could supply two helper methods `Kalshi::live()` and `Ka…
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Some JSON response and request fields are optional per the Kalshi docs. We can facilitate this with Oat++'s [`required` field](https://oatpp.io/api/latest/oatpp/core/data/mapping/type/Object/#baseobje…
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I hope you don't mind me throwing some issues at you. If I collect enough of them and they start to become urgent I'll open a PR myself.
Another quality-of-life improvement would be to make `Tradi…
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A month ago, I created a draft PR for a [NIP for prediction markets on nostr](https://github.com/nostr-protocol/nips/pull/517) and posted about it [on SN](https://stacker.news/items/177188).
Then, …
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Source|Task
-- | --
Kalshi | economic
Kalshi | culture
Kalshi | trending
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In my mind, some good next steps are:
- [x] Add history to the graphql API (maybe https://github.com/quantified-uncertainty/metaforecast/issues/50)?
- [x] Add charts functionality, both as an endpoi…
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Oat++ makes it easy to code up to an API spec[^1]. It is a header-only library and uses macros; they also provide examples and various modules.
[^1]: [trading-api-v2.0.json](https://github.com/user…