Hello Friends 🤗
Here is a link of screener to filter out Techno Funda #Stocks
Save it in your research tool kit folder 📂
#StockMarketScientist
More from Stock Market Scientist™
Here are the links to access all the threads of Price Patterns📈
1️⃣H&S Pattern
https://t.co/fmWhajgRFk
2️⃣C&H Pattern
https://t.co/6ZW977dCbr
3️⃣Flag Patterns
https://t.co/YUVRiLrVgI
4️⃣Wedge Patterns
https://t.co/6Lhka9dgyw
Happy Learning..!! 😇
H & S Pattern Simplified\U0001f4d2
— Stock Market Scientist\u2122 (@MarketScientist) May 25, 2020
Head & Shoulder Pattern\U0001f4ca
\U0001f535It is\xa0formed by a peak (shoulder), followed by a higher peak (head), & then another lower peak (shoulder)
\U0001f535A line called neckline\xa0is\xa0drawn by connecting the lowest points of the two troughs
1/n#StockMarket #Technicals pic.twitter.com/ElCKkli5h3
Here are the links of some important threads of TA 📊 for new learners to study 😇😇
1️⃣Moving Avg
https://t.co/xbORdUm2MH
2️⃣Fibonacci
https://t.co/QS2FveTuF7
3️⃣Ichimoku
https://t.co/pITLA6IL9m
4️⃣Darvas Box Theory
https://t.co/PJ70uverV4
Happy Learning😇
Moving Averages Simplified\U0001f4d2
— Stock Market Scientist\u2122 (@MarketScientist) April 30, 2020
\U0001f535Its a technical indicator used by traders to identify trading opportunities
\U0001f535Its a Lagging indicator
\U0001f5352 MAs which traders use more often are..
SMA(Simple moving average) & EMA(Exponential moving average)
1/n#StockMarket #Technicals pic.twitter.com/ClDPEgVWZP
Here is the single point to access
all the threads of Price Patterns📈
1️⃣H&S Pattern
https://t.co/fmWhajgRFk
2️⃣C&H Pattern
https://t.co/6ZW977dCbr
3️⃣Flag Patterns
https://t.co/YUVRiLrVgI
4️⃣Wedge Patterns
https://t.co/6Lhka9dgyw
Happy Learning..!! 😇
H & S Pattern Simplified\U0001f4d2
— Stock Market Scientist\u2122 (@MarketScientist) May 25, 2020
Head & Shoulder Pattern\U0001f4ca
\U0001f535It is\xa0formed by a peak (shoulder), followed by a higher peak (head), & then another lower peak (shoulder)
\U0001f535A line called neckline\xa0is\xa0drawn by connecting the lowest points of the two troughs
1/n#StockMarket #Technicals pic.twitter.com/ElCKkli5h3
More from All
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)

Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)