Goshawk Trades Profile picture
Jun 20, 2023 7 tweets 3 min read Read on X
A lot of trading books are complete jokes.

But for every 5 terrible ones there is 1 with pieces of gold.

I am going to have a lot of time on my hands this week waiting while doing Jury service.

So here are the 5 books I'll be recapping to improve my trading: Image
One Good Trade

By: Mike Bellafiore Image
Designing the Mind

By: Ryan A. Bush Image
The Daily Trading Coach

By: Brett N. Steenbarger Image
Thinking, Fast and Slow

By: Daniel Kahneman Image
Inside the Black Box

By: Rishi K. Narang Image
If there's a book that you think I should check out or you're currently reading, reply to this thread. I would love to add more books to my digital shelf.

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1. Follow me @GoshawkTrades for more content like this

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More from @GoshawkTrades

Apr 29
Stop trying to trade every move.

I spent months doing it,
It trapped me in a losing cycle, throwing away weeks of PNL.

Then I focused on ONE principle & finally made over 6 figures.

Here's how:
The Principle: To make money in trading, you need an EDGE.

But most traders are obsessed with entries and exits while completely ignoring if an edge even exists.

Without it, you're just doing "sophisticated" gambling.

Here's how to solve that.
There are two main types of "edges":

Inefficiency: Finding pricing inefficiencies or informational advantages.

Risk Premiums: Taking calculated risks others avoid. Getting paid for the volatility you're willing to endure, for example.
Read 14 tweets
Apr 16
Evidence–Based Technical Analysis.

David Aronson's Evidence–Based Technical Analysis will change how you see trading.

Here’s a full breakdown - so you don’t have to read all 544 pages.

Be sure to save this thread: Image
1. Subjective vs objective analysis.

Most traders draw lines on charts and trust their gut.

This is purely subjective analysis.

Objective analysis is where you can confirm or deny ideas with real data.

This is why data is so important.
Jim Simons, one of the most successful hedge fund managers ever, recognized the power of data very early on.

He even hired people to manually collect data from the FED,

Well before anyone else considered using it.
Read 14 tweets
Apr 16
I run a $100,000+ portfolio of automated trading strategies.

I execute 0 trades manually.

Here are 7 tools I couldn't live without:
1. Ninjatrader.

This is where I run the majority of my automated strategies for futures markets.

They have backtesting and automation capabilities and solid infrastructure.

It's always an easy recommendation.
2. Python

The Swiss Army knife of algorithmic trading.

Not the fastest, but incredibly versatile

I use it for custom backtesting and algo coding in both equities and crypto.
Read 11 tweets
Apr 8
I wasn’t a bad trader. I just couldn’t execute the trades I knew I should.

I'd freeze up, overanalyze, and watch winning trades move on without me.

Then I made ONE change that erased all doubt & turned those profits into reality.

Here's what I did (so you can copy me):
Finding a strategy has rarely been a problem for me,

But consistently executing and managing positions,

That's where it all fell apart.

Every. Single. Time.
I'd:

• Take profit way too early
• Miss my entry due to life getting in the way
• Let losers run because "it might come back"

I'm not proud to admit any of these, but these are the realities of the early months of trading.
Read 13 tweets
Apr 3
The 6 math formulas every trader needs to know (explained simply):

1. Expected value
The backbone of trading.

Positive EV is what you're after if you want to succeed in trading.

You will want to calculate this for every strategy.
2. Risk of Ruin.

This calculates the probability of losing your entire trading capital.

It's the cold, hard math behind why proper position sizing is key.

Survival is everything in trading.
Read 8 tweets
Apr 1
Me in 2019: Losing $3,000+ per year.
Me in 2024: Making $100,000+ per year.

Here are 6 trading skills that made it possible: Image
1. Systematic over discretionary.

When I first started, I made emotional decisions based on gut feelings and the illusion of having "intuition."

Now I have clear, defined criteria for every trade my strategies take.

This by itself was the most pivotal skill to learn.
2. Backtesting.

I used to take strategies at face value without validation.

Now I rigorously test every strategy with:
• Out-of-sample data
• Monte Carlo simulations
• Parameter sensitivity tests

This separates real edges from cherry-picked examples.
Read 9 tweets

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