96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
@BullyDCrypto A case for more upside can be made based on stats based levels. Are you much of a data guy bully? Would love to get your thoughts on this https://t.co/EMtvSo6qcS
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
@Stoiiic A bull case can be made for atlest some upside to take out high signifianc, stats based anomalies such as 3 block poor highs, what do you think? https://t.co/EMtvSo6qcS
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
@TraderMorin Back inside the range, but a case for another leg higher into deviaton zone to take stats based levels could be made, what do you think? https://t.co/EMtvSo6qcS
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
96.7 % chance we tag 70667 on binance futures today
current day return path skewed towards positive returns
multiple poor highs on the tpo profile
should be a fun day
Vectora - From Data to Signals @VectoraData
Today I’m officially announcing Vectora - a trading statistics project me and my partner @traderayer have been developing for some time now.
What began as a private, internal archive of the data and statistical work we relied on to sharpen our own trading - and push our performance to the next level - is now being opened up and made public.
In a time where trading is being taken less and less seriously ( trading gurus , scam trading groups , signals etc ) and where “signals,” shortcuts, and empty hype are everywhere ,we want to do the opposite. With Vectora, we’re not trying to collect users or simply customers in the usual sense. We’re trying to build a community of highly skilled, ambitious traders people who actually care about process, data, and simply being number 1.
Vectora isn’t meant to be a static product. This is a living project, and in a real way the community will dictate the pace and direction of its growth.
To start, access will be limited ( most probably 50 participants ). The project is still young, and we’d rather bring in a smaller group of serious people first ( traders who are willing to give honest feedback, break things, point out what’s missing, and tell us what’s actually useful ). We want to hear what you like, what you don’t, what feels unnecessary, and what you want to see added next. Everyone whos really interested in being within those first 50 "testers" can DM me via X/Twitter ( still will need to pay ).
We’re also actively looking for people who can help on the backend side especially anyone experienced with data infrastructure, SQL databases, pipelines, and anything related to handling and organizing large datasets. We can't be pretending it’s small build.
And to be completely transparent: this first version is only a fraction of what we have planned. Realistically I'd say it’s less than 1% of the full vision. The scope of data, statistical research, and tooling we want to ship is massive , and the amount we can release will naturally correlate with the amount of support and help we get from the community.
That said, we’re committed to updating Vectora either way. The difference is how fast we can push it forward. With the right people involved, this can grow into one of the most serious statistical software projects trading has seen in a long time.
What you can expect in v1.0.0. ( it's not much but it's honest work and a "cool" starting ground to see how the masses like it/dislike it " , and it's solely crypto based for now btw ):
- Returns Research ( Daily + Session )
A nice way to contextualize performance and behavior across different parts of the trading day.
- Structure & Continuation Research
Tools designed to help you gauge when price action is behaving “clean” vs when it’s likely noise.
- High Probability Interaction Zones
Research that highlights areas where price historically tends to react.
- Regime Identification
A framework for separating different market conditions so you’re not applying the same approach in the wrong environment.
- Multi Timeframe Reference Levels
Statistical tracking around key reference points across several timeframes, presented in a way that’s usable during execution.
- Session Based Market Structure ( Market Profile/TPO )
Session structure insights built for context and decision making.
- Weekly Behavior Research ( for example early week dynamics )
A module dedicated to recurring weekly patterns and tendencies.
- Event/Anomaly Behavior ( for example extreme candles, spikes)
Research built around “unusual” price behavior and what tends to follow it.
- TradingView Indicators ( derived from Vectora research )
Indicators that surface the outputs from these modules in a usable way.
- And yes , machine learning based research modules will be included in the first release as well.
+ Some more...
When it comes to pricing: we’re keeping it competitive and relatively affordable , the goal is to make this accessible to serious traders without turning it into an overpriced “exclusive” product.
Release is expected to be within a month or so.
Kind regards ~marin