From the original post
Jev + TradingView is the most INSANE trading setup ever built for FREE
i plugged TradingView into my Jev stack and now my 24/7 trading bot turns real-time live chart data into a calibrated buy or sell in JUST 81 milliseconds
it's like the BEST chart data in the world feeding the FASTEST decision model in the world
with this open source repo we get -
> PREMIUM indicators in
> a typed AI decision out
> AND zero agent hallucination
here is how you set it up for completely FREE:
1. clone the TradingView API repo (open-sourced on GitHub), one npm install gets you real time feeds, premium indicators and replay mode without a paid account
2. pull the live indicators into one compact state snapshot, RSI, MACD, Ichimoku, Supertrend, order flow, all in a single numeric object under 400 tokens
3. send that snapshot to Jev as a battery of typed questions, regime, direction, setup quality, risk, all scored in parallel in one call
4. Jev returns calibrated probabilities in 81 milliseconds, not text, not a guess, a typed buy sell or hold your code acts on directly
5. gate every trade on confidence, RLCD training makes the probability real so you Kelly size straight from the model output, nothing fires below your threshold
6. run it on replay mode first, free and unlimited across any timeframe, so you watch the engine decide on years of premium data before risking a cent
7. telegram alerts fire the chart snapshot, the Jev confidence score, direction, and the Kelly sized position the instant a setup lands
the EXACT system i am running with JEV is in the article below:
How Jev fits in the loop
- Agent collects runtime context or input state from external sources.
- Bounded decision options are formatted into Jev System One questions.
- Jev scores each candidate option and returns a probability for it.
- Deterministic code executes the selected action or routes to specialized models.
How to reproduce
- Read the author's original post on X at https://x.com/RohOnChain/status/2102082148866130323.
- Inspect the described workflow architecture and bounded decision points.
- Test Jev System One decision queries against the provided task context.
Why this build matters
Demonstrates real-world Jev Agent experimentation by @RohOnChain with verified community reach of 193.8k views.
Limitations
- Implementation details are based on the author's public post on X.
- Performance figures and benchmarks are author-reported community claims.
- Production deployments may require custom calibration and policy thresholds.