cgrx

Crypto Stocks Indices

[PyQuant News 🐍 @pyquantnews]

Missiles, robots, and traffic.

Nothing to do with quant finance, right?

Quants use the Kalman filter to predict future observations of hidden variables.

You can use it too-with Python.

Without the explosions:

[Ignas | DeFi @DefiIgnas]

1/ How to get rich in crypto without getting lucky.

[Propchain @PropChainGlobal]

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[Graham Stephan @GrahamStephan]

The Chinese economy is experiencing a near-complete collapse.

Nearly half a million customers have lost their deposits as the banks lent indiscriminately to housing developers who are now facing cascading defaults.

Here’s the story the Chinese Govt. doesn't want you to know 👇

[Arthur Hayes @CryptoHayes]

2/ The curve is in backwardation, that is futures < spot, out until Jan '23. My guess is because traders are hedging out $ETH exposure pre-merge just in case ... tech is hard.

[Logarithmic Rex @LogarithmicRex]

(1/28) The History of Modern Finance: From 1492 to 2022

In the 16th century, Europe catapulted from the backwater of Eurasia into the forefront of global dominance. The secret? The invention of modern finance.

Read on to learn why the world needs @ethereum, ASAP.

[𝐥𝐮𝐜𝐢𝐮𝐬 @luciusthe3rd]

#education

SESSIONS

Session highs and lows are key levels for stop hunts, price may raid old highs/lows or an FVG and leave a displacement to bid

Buy/sell stops rest above/below these important highs and lows so it's best to use them as points of interest for entries and exits

[Cred @CryptoCred]

Used to think more indicators = more info = more accurate signals

In reality more indicators = more noise = harder to build a system

Especially if you’re stacking similar tools

If you’re gonna use them: start with 1 & find 1 setup — master it

Minimum effective dosage first

[Youssef @youssef_amrani]

I’ve wanted for a long time to compare both @cosmos and @Polkadot ecosystems. They are both considered to be third generation blockchains and share a similar horizontal scaling approach, as opposed to Ethereum and Solana who favor vertical scaling.

A thread 🧵

[Kingpin Crypto @Kingpincrypto12]

To end, my HTF outlook on $BTC is bearish and I expect new lows. All rallies are bear market rallies until proven otherwise. However, I have been crushing trades playing them level to level with no bias. I recommend you do the same.
Linking some of my previous $BTC trades👇

[Algod @AlgodTrading]

Most of these projects will die when incentives stop

Cough cough $crv

[Patrick Scott @patfscott]

The bear market is also a “build market.”

In this thread I’ll show you 7 DeFi applications that are actively growing and expanding right now.

These protocols have increased their revenue or total value locked over the past few months.

Read on to learn more 🧵

1/12

[PyQuant News 🐍 @pyquantnews]

A Bloomberg Terminal costs $24,000 per year.

It's the portal to all the world's financial data.

Unaffordable for 99% of us.

Reserved for the Wall Street elite to outfox the normal investor.

Until now:

[Quit @0xQuit]

99% of users don't understand the behind the scenes when interacting with Ethereum, and that leaves them vulnerable to attack.

This is the master thread for newbies and journeymen alike - everything you need to know to avoid getting scammed, and minimize damage when you do.
1/🧵

[Will @WClemente]

Everything you need to know about the current state of the Bitcoin market

[THREAD 1/35]

[Cheds Trading @BigCheds]

$BTC early in the day but for fun ill point out we are forming an “Advance block” pattern on daily

3 black crows into outside bar, then advance block for possible LH (lower high) and continuation of that 3BC signal

https://t.co/AAZ6LN9me2

[razor @razoreth]

We just released one of the coolest features yet on @definedfi. Now you can click on any candle on any chart and the transaction table will only show the transactions that took place during that candle. Perfect for finding the first swaps of a new token.

[Easlo @heyeaslo]

No-code helps you build your startup 4x faster.

Here are the best no-code tools for 2022:

[PyQuant News 🐍 @pyquantnews]

College completely failed to teach me data analysis.

So I spent over 10,000 hours learning Python.

Then, I picked the 13 best libraries for machine learning and data analysis.

But unlike college, these won't cost you $120,000.

Here they are for free: