My biggest issue investing is giving back too much of good gains. So I've been working on offensive sell rules and this is what I've come up with. Still a work in progress so this is just the beginning.

Use the attached chart for extensions above key moving averages.

Calculate market cap at time of breakout.
Small cap less than 2 Billion
Mid Cap 2-10 Billion
Large over 10 Billion
Once the average extension above the 200 day is reached. Look back at the uptrend since last breakout and determine which moving average shows the most obvious support. Sell on first close below that moving average.
Can use 10 21 or 50 day. If uncertain use the larger of the two
If the Top 10 extension is reached then stop changes to close below the 10 day.

If price continues up and gets above both 50 and 200 day Top Ten extensions then sell.
Some examples.
NVDA Large Cap break out March 2016
7/11 over 52% use 50 day as stop
11/11 over 68% use 10 day as stop
11/30 closes below 10 day. Sell
AMEH Small Cap break out January 2021
6/15 over 111% use 21 day as stop
7/7 over 189% use 10 day as stop
7/16 closes below 10 day. Sell
DDOG Large Cap break out July 2021
10/29 over 52% use 21 day as stop
11/08 over 68% use 10 day as stop
11/18 closes below 10 day. Sell
MU Large Cap break out November 2020
1/14/21 over 52% use 21 day
1/27/21 closes below 21 day. Sell

More from All

How can we use language supervision to learn better visual representations for robotics?

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)
The best morning routine?

Starts the night before.

9 evening habits that make all the difference:

1. Write down tomorrow's 3:3:3 plan

• 3 hours on your most important project
• 3 shorter tasks
• 3 maintenance activities

Defining a "productive day" is crucial.

Or else you'll never be at peace (even with excellent output).

Learn more


2. End the workday with a shutdown ritual

Create a short shutdown ritual (hat-tip to Cal Newport). Close your laptop, plug in the charger, spend 2 minutes tidying your desk. Then say, "shutdown."

Separating your life and work is key.

3. Journal 1 beautiful life moment

Delicious tacos, presentation you crushed, a moment of inner peace. Write it down.

Gratitude programs a mindset of abundance.

4. Lay out clothes

Get exercise clothes ready for tomorrow. Upon waking up, jump rope for 2 mins. It will activate your mind + body.

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12 TRADING SETUPS which experts are using.

These setups I found from the following 4 accounts:

1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili

Share for the benefit of everyone.

Here are the setups from @Pathik_Trader Sir first.

1. Open Drive (Intraday Setup explained)


Bactesting results of Open Drive


2. Two Price Action setups to get good long side trade for intraday.

1. PDC Acts as Support
2. PDH Acts as


Example of PDC/PDH Setup given