From losing $15k over 2 years, to now making $15k/month...

Here's 10 tips I'd tell my younger self:

1. Focus on the process

The money will come. Stop worrying about how much money you made today

Focus on how much work you're putting in

How many hours are you studying charts?

Inputs > Outputs
2. Journal your trades!

I didn't start doing this until about a year in of trading.

It helped TREMENDOUSLY

You'll learn a lot about how you can improve and stop you from making the same mistakes
3. Listen to others

Don't be listening to the random on Twitter who just started out

But if someone with experience and a professional in their field gives you advice...

take it.

They know something you don't.
4. Stop Full Porting

Trading is not a "get rich quick" business.

It will take time.

Even with a $500 account, learn to use risk management and the money will come
5. Focus on one

Although learning everything over the years has helped..

I would have been successful much faster had I stuck to one process (day vs swing, penny vs options, etc.)

Strategy hopping only leads to more losses
6. Less is more

Stop "searching" for trades

Once you start scrolling through your watchlist looking for a setup, you've lost.

Let the trade come to you.

Set alerts when the charts setup for your strategy
7. Find a hobby

If trading is your life, you'll fail.

You need to be able to step away from the screens and not be "addicted" to trading

Find something you can do to stop you from over trading
8. Network!

Some of the best trading knowledge and tips I found were on twitter

I DM'd about 200 people when I first started and it led to me meeting my mentor
9. Stop following alerts

I only followed alerts for a little when I started and it didn't help at all

If you want real success in this game, you're going to have to learn how to trade properly
10. Focus on yourself

There will be people you know who started later than you and are more successful

It's frustrating.

But if you stay in your lane, you'll be unstoppable.
If you learned something from this thread, feel free to leave a like + RT the original tweet so others can learn too

I’m writing a thread every day for June 😱

So follow me @FT__Trading if you’re interested in trading strategies and psychology

More from Jordan F┃Stock Trader

I made 68 threads in 2022...

exposing everything I've learned in my 5 years of being a trader

Here's all of them:🧵

Before I dive in, it would mean the world to like + RT the tweet above to spread the knowledge with others👆

I take personal time out of my day to make these for you for FREE

When others are charging $5,000 courses for the same info...

Ok, LETS DIVE IN 👇

1/68

https://t.co/3W1wqqqyCx


2/68
https://t.co/1Uu2G7YxFF


3/68
https://t.co/sSzDTHrAKp

More from All

#தினம்_ஒரு_திருவாசகம்
தொல்லை இரும்பிறவிச் சூழும் தளை நீக்கி
அல்லல் அறுத்து ஆனந்தம் ஆக்கியதே – எல்லை
மருவா நெறியளிக்கும் வாதவூர் எங்கோன்
திருவாசகம் என்னும் தேன்

பொருள்:
1.எப்போது ஆரம்பித்தது என அறியப்படமுடியாத தொலை காலமாக (தொல்லை)

2. இருந்து வரும் (இரும்)


3.பிறவிப் பயணத்திலே ஆழ்த்துகின்ற (பிறவி சூழும்)

4.அறியாமையாகிய இடரை (தளை)

5.அகற்றி (நீக்கி),

6.அதன் விளைவால் சுகதுக்கமெனும் துயரங்கள் விலக (அல்லல் அறுத்து),

7.முழுநிறைவாய்த் தன்னுளே இறைவனை உணர்த்துவதே (ஆனந்த மாக்கியதே),

8.பிறந்து இறக்கும் காலவெளிகளில் (எல்லை)

9.பிணைக்காமல் (மருவா)

10.காக்கும் மெய்யறிவினைத் தருகின்ற (நெறியளிக்கும்),

11.என் தலைவனான மாணிக்க வாசகரின் (வாதவூரெங்கோன்)

12.திருவாசகம் எனும் தேன் (திருவா சகமென்னுந் தேன்)

முதல்வரி: பிறவி என்பது முன்வினை விதையால் முளைப்பதோர் பெருமரம். அந்த ‘முன்வினை’ எங்கு ஆரம்பித்தது எனச் சொல்ல இயலாது. ஆனால் ‘அறியாமை’ ஒன்றே ஆசைக்கும்,, அச்சத்துக்கும் காரணம் என்பதால், அவையே வினைகளை விளைவிப்பன என்பதால், தொடர்ந்து வரும் பிறவிகளுக்கு, ‘அறியாமையே’ காரணம்

அறியாமைக்கு ஆரம்பம் கிடையாது. நமக்கு ஒரு பொருளைப் பற்றிய அறிவு எப்போதிருந்து இல்லை? அதைச் சொல்ல முடியாது. அதனாலேதான் முதலடியில், ஆரம்பமில்லாத அஞ்ஞானத்தை பிறவிகளுக்குக் காரணமாகச் சொல்லியது. ஆனால் அறியாமை, அறிவின் எழுச்சியால், அப்போதே முடிந்து விடும்.
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)

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