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Goshawk Trades

@GoshawkTrades

Jan 22, 2024 • 9 tweets • 4 min read • Read on X

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I've read and tested over 100 strategies since 2019.

There are countless bad ones,

And only a handful of good ones to draw from.

Here they are for free:

Playing Gaps.

From "Trade Like a Hedge Fund: 20 Successful Uncorrelated Strategies and Techniques to Winning Profits"

By James Altucher

Using momentum to identify trends and reversals.

From "High Probability Trading Strategies: Entry to Exit Tactics for the Forex, Futures, and Stock Markets"

By Robert Miner

This is a built-upon version of an EWMAC trend filter / "Advanced Trend
Following and Carry Strategies".

From "Advanced Futures Trading Strategies: 30 fully tested strategies for multiple trading styles and time frames"

By Robert Carver

N-Day Breakout trend following strategy.

From "Trading Systems and Methods"

By Perry J. Kaufman

Calendar Spreads Mean reversion.

From "Algorithmic Trading: Winning Strategies and Their Rationale"

By Ernie Chan

A interesting idea of unilateral pairs trading.

From "Trade Like a Hedge Fund: 20 Successful Uncorrelated Strategies and Techniques to Winning Profits"

By James Altucher

https://twitter.com/1336829759884550155/status/1749534983444730110

Most free strategies online have countless backtest errors,

But some hold value you can extract.

Be sure to check the books out as well.

If you find this type of content valuable and want more every week:

1. Follow me @GoshawkTrades for more.

2. Jump to the top & retweet.

https://twitter.com/1336829759884550155/status/1749534983444730110

I recently crossed 105 traders that I've assisted in turning their strategy ideas into code.

One trader's algo now manages $1,000,000 of capital.

If you know a trader of 2+ years looking to grow their trading to the next level using code.

Click below:
unbiasedtrading.info

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More from @GoshawkTrades

Goshawk Trades

@GoshawkTrades

Oct 23

I've been algorithmic trading for 5 years.

In that time, I went from 0 to 10+ live algo strategies making multi 6 figures.

Here are 12 things I wish I knew on day 1:

Context:

I've been trading for 6 and bit years. My first year was a disaster.

Then I discovered I could use coding and data for trading. Since then, it's been up year-over-year, but I've made tons of mistakes.

Here are the lessons learned (the hard way) so you don't have to:

1) Sample size matters more than you think.

A strategy with 5 trades that made 200% historically is meaningless.

You need at least 300+ trades, ideally 500+, to have statistical confidence.

More samples = more confidence it wasn't just luck / noise

Read 17 tweets

Goshawk Trades

@GoshawkTrades

Sep 23

Expected returns.

An Investor's Guide to Harvesting Market Rewards.

I've read it more than I can count, and it will change how you think about trading.

Here’s a full breakdown - so you don’t have to read all 979 pages:

1. Most returns come from risk (or mispricing).

If you think you’ve found alpha, it’s usually just a disguised risk premium.

The key is knowing which risk you’re being paid to hold.

It could be:
• Bearing a risk others avoid
• Providing liquidity
• Exploiting behavioral bias

2. Momentum works across assets.

3–12 month momentum is one of the most robust anomalies.

It’s also long volatility: it shines when crises hit, making it one of the few diversifiers against equity risk.

Read 10 tweets

Goshawk Trades

@GoshawkTrades

Aug 12

Algorithmic trading doesn't just solve execution.

It eliminates human bias, enables 24/7 trading, and
scales diversification.

If you care about consistency, scalability, and edge, read this:

Let's bust some myths:

Algorithmic trading is easy money with no effort.

Wrong.

It requires upfront work.

But that effort pays off with consistent and scalable execution.

1. Eliminates Emotional Trading Execution.

Often the destroyer of trading accounts isn't bad strategy—it's execution.

Code executes without emotion, following your rules exactly as backtested.

Read 11 tweets

Goshawk Trades

@GoshawkTrades

Jul 16

I've read Machine Trading more than I can count.

My favorite line:

"In trading, complexity doesn't pay"

Here are 6 lessons from the book you need to know:

1. Start with simple.

Ernest Chan emphasizes starting with the simplest technique, before moving to complex methods.

Most traders like to jump the gun to advanced machine learning thinking it guarantees them an edge...

It normally is the complete opposite.

2. Each parameter must fight for its place.

Chan warns that excess parameters are the easiest way to overfit a strategy.

Keep only parameters that show statistical significance and serve a clear purpose.

Whether generating returns or controlling risk.

Read 10 tweets

Goshawk Trades

@GoshawkTrades

Jul 8

I was a losing trader for almost 2 years.

Then a few small pivots in my process led me to be consistently profitable for these past 4 years.

Here’s what I changed:

1. Systematic thinking.

My discretionary trading was a mess - inconsistent entries, emotional exits, and second-guessing.

The shift: I started defining clear, backtestable rules for everything.

This removed 90% of the emotional decision-making that was killing my account.

2. Learned to respect risk above everything else.

I used to target returns first, then figure out risk later.

Entirely backwards.

This single change prevented me from over-leveraging and blowing up during inevitable bad streaks.

Read 12 tweets

Goshawk Trades

@GoshawkTrades

Jul 2

Poker is one of the most important cheat codes in trading.

Jeff Yass ($59B net worth) trains traders at his $500B+ hedge fund using poker for good reason.

Here are 5 poker concepts that will make you a better trader:

1. Position sizing is everything.

In poker, you don't put your life savings at risk even with pocket aces because "one out of five times you're bankrupt."

The same applies to trading - even great setups lose.

Size your positions so you can survive the variance.

2. Focus on process, not results.

There's a huge difference between making the right decision and having the right outcome.

Even correct decisions can lose money, and wrong decisions sometimes win.

You have to get comfortable with variance in your outcomes.