Pavel | Robuxio Profile picture
Jul 28, 2025 11 tweets 3 min read Read on X
Can a two-decade-old stock strategy still work in crypto?

I tested Larry Connors’ famous 2-period RSI strategy on crypto.

Here’s what happened (and how I improved it): Image
Larry Connors' RSI(2) strategy is one of the most cited mean reversion systems in stock trading.

But how does it hold up in crypto, a market with 24/7 trading, higher volatility and slightly different behaviour

Let's test it:
Basic entry rules:
1. Close > Moving Average 200
2. Close < Moving Average 5
3. RSI 2 < 10

Exit rule: Close > Moving Average 5

Entry and exit occurs on daily close. Image
Results on Bitcoin are not very good

Only +50% from 2020 to mid-2023.

Mostly out of the market. Performance is flat and inconsistent. Image
Results on Ethereum are even worse.

Flat returns equity curve and no consistent edge.

So… is the strategy useless in crypto?

Not necessarily. Image
What if we take a different approach?

I applied the strategy to a portfolio of the 100 largest coins, always entering the top 3 coins with the strongest 7-day momentum.

Let's take a look at the results:
The strategy returned 370% from 2020 to mid-2023.

It was flat in 2022. Yet this is a period when it should perform relatively decently.

The drawdowns are also quite deep, up to 50%, which is not an ideal characteristic of a Mean Reversion strategy. Image
What's the reason for these large drawdowns?

Entries into the market when conditions are not favourable.

The strategy keeps entering an oversold market in a severe bear market.

But we can avoid this with a regime filter:
My favourite basic regime filter for crypto long trades?

BTC > Moving Average 50

With this simple change in logic, we only enter when Bitcoin is in a bullish regime.
With the BTC > MA(50) filter:

• We avoided much of the 2022 drawdown
• Preserved gains from earlier phases
• Re-entered in 2023 as the market recovered
• Equity curve smoothed significantly Image
At first glance, the RSI(2) strategy looked useless in crypto.

But with a few tweaks, this strategy could be live traded.

Old ideas still work. They just need to be adapted to the nature of the new market.

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More from @PKycek

Nov 3, 2025
Mean Reversion strategy description.

Long/Short using Bollinger Bands.

Rules: Image
1. Strategy trades long/short

Especially for mean reversion strategies, it is quite important to run both sides of the market. Image
2. Long entry:

• Price closes below the lower Bollinger Band
• Today's close < yesterday's close

Hold: 1 day
Max positions: 10 Image
Read 8 tweets
Oct 30, 2025
6 important steps to maximise trading returns, after 20 years of experience trading all asset classes (+ Pro Tips):

1/ Choose the least efficient asset

Efficient markets leave less room for profits. To test efficiency, run basic trading models across different assets:
• Moving average crossover
• 30-day breakout
• RSI2 mean reversion

Use the same strategy across different assets and compare Expectancy and Sharpe ratio.

Pro Tip:
Liquidity often correlates with efficiency. More liquid = more efficient. Look for the sweet spot: liquid enough to trade, inefficient enough to profit.Image
2/ Choose the most effective trading approach

Different assets behave differently.

Yes, trend-following works broadly. But it's not optimal everywhere.

Test basic models to find what works best for your chosen asset and compare performance.

Pro Tip:
• Crypto - breakouts/trend following
• Commodities - trend following/breakouts
• Stocks - mean reversion/trend following
• Forex - mean reversion/trend following (only on certain pairs)
3/ Build your backbone from the most profitable strategies

Example: Trading crypto?

Start with momentum. It's the highest-return approach in inefficient, volatile markets.

Build your core portfolio around momentum strategies first. They'll generate the most profit long-term.

Pro Tip:
Start with what makes the most money. Add diversification second.
Read 8 tweets
Sep 1, 2025
Most traders overcomplicate crypto.

They chase “the next big coin,” follow influencer picks, or try to time every move.

But what if a simple approach could outperform Bitcoin?

Here are the rules: Image
Before we dive in, I post daily insights on crypto trading.

If you want to cut through the noise, consider following me.
Rule 1: Bitcoin is king

• Only buy crypto when BTC is rising.
• Entry filter: BTC daily close > 50-day MA.

If BTC isn’t rising, stay out.
Read 10 tweets
Aug 14, 2025
This is Larry Williams.

A swing trader who turned $10,000 into $1,100,000 in just one year.

Here’s his story and how one of his most famous strategies performs on crypto: Image
1/ Audited Returns

Plenty of traders claim big numbers.
Larry’s are audited.

In 1987, he achieved a 11,376% return.

What's crazier?

His daughter made 1,000% a decade later.
2/ Who is Larry Williams?

An American trader best known for pioneering systematic swing trading.

He started in the 1960s, took early losses like most, and broke through in the 1970s with commodity futures trading. Image
Read 12 tweets
Aug 7, 2025
Crypto is a goldmine for trading.

High volatility.
Plenty of inefficiencies.
Immature market.

But there’s a catch: a lack of reliable data.

Here's how we deal with this and build robust strategies: Image
1/ Start with an idea-first approach.

With limited history, you can’t afford to "mine" strategies from the data. You’ll just find noise that looks like signal.

Every strategy should start with a clear hypothesis:
→ Why will this make money?
→ When should it work?
2/ Keep it simple.

The shorter the data sample, the easier it is to overfit.

Our rule: 2–4 conditions max
(including entries, exits, and filters)

The more complex the model, the higher the likelihood its over-optimized. Image
Read 14 tweets
Jul 30, 2025
The most powerful edge in systematic trading isn’t a secret indicator.

It’s portfolio construction.

Here’s why combining simple, uncorrelated strategies is the true holy grail: Image
The most robust strategies tend to be simple.

Few entry/exit rules. Clear logic. Repeatable behavior.

But simplicity comes with tradeoffs:
Each strategy usually thrives in just one market regime:

→ Bull
→ Bear
→ Sideways

And outside their ideal conditions?
Read 8 tweets

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