Brighter Data

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Brighter Data

Brighter Data

@BrighterData

A statistics platform designed to enable data-driven trading decisions. Guess less. Win more. Trade the odds.

Katılım Aralık 2024
15 Takip Edilen2.1K Takipçiler
Brighter Data
Brighter Data@BrighterData·
The edge every trader has been looking for. ⚡
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JONZi
JONZi@jonzitrades·
super stoked to announce my partnership with @BrighterData 🥂 been using their platform over the past year to gain an edge on the market using historical data & it's become a daily tool for me with my trading 📈 use code: JONZI at checkout for a 25% discount 🔫 brighterdata.com
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Brighter Data
Brighter Data@BrighterData·
🗓️ This Week on Brighter Data 🎙️ Livestreams with @tradingjip completely free for all discord members! Don’t miss the insights — mark your calendars!
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Brighter Data
Brighter Data@BrighterData·
Confidence starts with better insights.
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Brighter Data
Brighter Data@BrighterData·
Trusted by traders who value data.
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Brighter Data
Brighter Data@BrighterData·
🗓️ This Week on Brighter Data 🎙️ Livestreams with @sergio_tesla_ & @tradingjip and a special guest appearance from @D_DTRADING completely free for all discord members! Don’t miss the insights — mark your calendars!
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Brighter Data
Brighter Data@BrighterData·
How to draw typical high levels for bearish events.
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Stoic
Stoic@Stoiiic·
What typically happens when a month starts off with a grind up on BTC? The law of reversion ends up taking over more often than not. In this case, plotting the top 10 fractals with similar behavior shows upside contained between 65-70k for a 50-80% high target before reversion occurs (unless there's an outlier month). This is interesting because although these are fractals (which I don't put much weight on) but when adding behavioral context it aligns with areas of confluence namely the developing yearly, structural anomalies etc.
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Brighter Data
Brighter Data@BrighterData·
Helping traders stay ahead, every day.
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Brighter Data
Brighter Data@BrighterData·
How to draw typical high timing for bearish events.
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Tim Heus
Tim Heus@timheus·
One thing I’ve been focusing on more lately is not just finding trades, but filtering them better. Because a trade can fully fit your system, but still be lower quality when the underlying data doesn’t support the idea. You’ve probably noticed I started using @BrighterData in my own trading, as an addition to Wyckoff. I use it as an extra layer of confluence to help separate higher quality setups from trades that look clean, but have less backing behind them. So I spoke with the founder and got a code for my community if you want to test it yourself. Code TIM25 gets you 25% off your first month.
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DD
DD@D_DTRADING·
solana:So11111111111111111111111111111111111111112 Was stuck between the potential M1 into M2D and the M1A. Because of that, I was only interested in longs if we got the M1 into M2A by taking extreme demand and liquidity first, followed by a bullish BOS from there. Price sliced straight through that POI, so the long never got confirmed. That idea is now invalidated and SOL has turned into a bearish idea for me instead. The M1A failed, which is a bearish sign. From here, I am looking for a bearish retest of the range VAL and POC to potentially form a lower high for a lower low. In other words, a bearish RIMC play. If we also look at the BD Lens, we can see that the weekly is behaving like a typical bearish week so far. 78% of bearish weeks had the high in by now, while 80% and 92% of bearish weeks would make a new low from here based on time and distance respectively. That is a very clean confluence to use for the bearish idea. This is one of the ways @BrighterData helps me form a trading bias instead of just relying on the chart alone. You can use code DDT25 for 25% off your first month. No long confirmation means no long trade. Now I wait for the bearish retest and only get involved if the trigger is clean.
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DD@D_DTRADING

solana:So11111111111111111111111111111111111111112 Clean example of how a proper range can look when models flow back and forth. First, price formed the M1D. Unfortunately, it never gave the supply retest for the M1 > M2D entry, but the technical target still got hit by taking out the range lows. From there, price flowed over into an M1A since it swept the lows once again and broke internal structure back to bullish. After the bullish BOS, I wanted to look for longs, but price was already too high up for a clean entry. Because of that, I set alerts at the demand levels below, but those never got hit before price pushed back into extreme supply. Price is now pulling back and technically I can still look for longs if we either retest extreme demand, or take extreme liquidity and break internal structure back to bullish again to target new weekly highs. This also shows once again that you can predict movements well, but if your entry triggers don’t get hit, you can’t profit from them. That’s part of the game. More important to follow your rules than to chase every movement. Main attention remains on longs from the extreme discount levels.

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$nipez
$nipez@Snipezhq·
I'm happy to announce the partnership with @BrighterData As you guys know, I've been using brighterdata lens the past few weeks and also experimenting with it in the background. And I have to say it's amazing to add confluence to your trades, to size up and/or extend your TP targets. Technical analysis is supported by data now and I'm a big believer that it's going to be even more significant in the future. Brighterdata is offering you guys 25% off your first month with the code SNIPEZ, so you can try it yourself. I spoke with the developers myself and more things are going to be added over time. And probably the best thing is that you guys can make suggestions in their Discord server for data events to add. They've been listening to all of the community requests. This tool has been insane, especially for the weekly price action and the weekly sweep statistics. The best thing? It's not hindsight, it's real statistics based on data from the last years. You can even filter if you just want to use one year, 2 years, 5 or even all data. Underrated tool in my opinion.
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