Goshawk Trades🔨 Profile picture
Jul 20 8 tweets 3 min read Twitter logo Read on Twitter
Over the past 4 years, I've read almost 100 trading books.

99% were useless in progressing my trading journey.

Especially for trying to become a systematic trader.

Save yourself the time and just read these 5 👇 Image
New Trading Systems and Methods

By Perry J. Kaufman Image
Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals: 274

By David Aronson Image
Quantitative Trading: How to Build Your Own Algorithmic Trading Business

By Ernie Chan Image
Volatility Trading

By Euan Sinclair Image
Trade Like a Hedge Fund 20 Successful Uncorrelated Strategies & Techniques to Winning Profits How to Play the QQQ-SPY Spread Using Unilateral Pairs Trading

By James Altucher Image
These 5 books have helped me the most. If you're considering buying one, give this tweet a like.

If you have any other suggestion leave them down below.

If you found this content valuable:

1. Follow me @GoshawkTrades for more content like this

2. Jump to the top & retweet
Benefit from Coding Your Strategy Without The Time Loss Learning It!

If you have 2+ years of trading experience, custom code can take your trading game to the next level!

•Robust backtests
•Algos
•Custom Needs

I've got you.

Visit the link below:
unbiasedtrading.carrd.co

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More from @GoshawkTrades

Jun 22
I have finally found the most useful indicator.

It took me 100s of useless ones, but I found it!

It's so useful I implemented it into 80% of my algos.

Linear Regression Channels.

What are they?

How do I use them?

Here's how:
What is it?

Linear regressions are simply a linear relationship between a dependent variable & one or more independent variables.

Linear regression channels are similar however they plot a straight line that best fits the prices between the starting & end point.

Pretty basic.
What makes the indicator a channel is that it includes an above & below line.

These are formed by applying two standard deviations added & subtracted from the linear regression line.

This creates an expected top & bottom to the price section.
Read 8 tweets
Jun 20
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
Read 7 tweets
Jun 19
I'm stuck in jury service.

My first thought is how rusty I'll be when I get back to the market a week from now.

We are all taken away from the market at some point,

Here's how I'm planning on keeping up to date so I don't trade like shyt when I'm back:
1. Replaying the market

Simple yet effective advice.

You can now do this on multiple platforms, my 3 favorite ones are:

@TradingSim
@tradersync
@tradingview
2. Median Charts

Pulling the median price charts for all the gappers while I'm away, allows me to get a quick big-picture view of the price action recently.

Are we in a fading market currently?
Are we getting afternoon reclaims?
Read 5 tweets
Jun 1
Systematic Trading 101

Over the past 3 years, I have gone from struggling to find a single profitable strategy to having too many for my equity to handle.

Want to know how?

I use a four-step framework for turning an idea into a profitable strategy.

Here it is:
So let's talk about the purpose of this framework.

The main goal here is to get rid of ineffective strategies & focus only one the ones that are truly profitable & robust.

We want to gather as many ideas as possible and then filter them down to the best of the best.
Part #1: Idea Classification

What bucket does our strategy idea fall into?

This is an important step as each will have unique pros & cons to them.

The 4 buckets:
• Momentum
• Trend Based
• Mean Reversion
• Pattern Based
Read 9 tweets
May 24
The $12,000,000 Trader:

Tim Grittani @kroyrunner89

In the past decade he traded all aspects of the market: penny stocks, small caps, long, short.

Then he turned his strategies into algos, a move that cost him 800k in losses.

But he came back stronger.

Here's what he learnt: Image
Tim was drawn to algo trading because he desired to spend more time with his family instead of computer screens.

He expected it to be a smooth transition, but found it was a lot more complex than he thought.

"I thought it was going to much easier than it is"
Initially his first algo attempts were a huge success making over $900k in Jan / Feb 2021.

He felt like he cracked the code to algo trading, but over the next 6 months he lost over 800k of that profit.

The market environment changed, & he realized he had overfit his strategy.
Read 8 tweets
May 23
Most trading chatrooms failed to teach me how to make systematic strategies.

So I have been dusting off old strategies that I no longer pursue or trade.

I'm sharing them and the backtested results too.

But unlike a $200 chatroom, here is another one for free: Image
I introduce the Pre Market High Long strategy!

This is for all my long small traders out there.

I know it can be incredibly hard to create a systematic long strategy, and this took me over 30 attempts at finding one.
Strategy Criteria:

It centers around longing breaks of pre market high when there's a solid volume above 1000 on the candle break.

I also shared this strategy with my fellow traders in the How To Backtest Bootcamp, along with a few extra variables to consider. Criteria
Read 7 tweets

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