.smirk

Github :

[.smirk @TheJerryInyang]

???

[Market Rebellion @RebellioMarket]

BEST MOVING AVERAGES HQ:
For Short-Term Trading (Scalping / Day Trading)

1.9 EMA (Exponential) – reacts fast, great for quick entries/exits.

2.20 EMA – balance between noise & trend, common intraday guide.

🔹 For Swing Trading:

3.50 SMA (Simple) – classic trend filter, used by institutions.

4.21 EMA – smooths short swings without too much lag.

🔹 For Long-Term / Position Trading:

5.100 SMA – strong trend indicator on daily/weekly charts.

6.200 SMA – the king of long-term trend direction; above = bullish, below = bearish.

Don’t just use one. Combine them.
Example: 20 EMA + 50 SMA + 200 SMA → short, medium, long-term trend alignment.

[.smirk @TheJerryInyang]

@SQUARED2_io Congratulations, brother 🤝

[.smirk @TheJerryInyang]

sHarPe rAtiO of 13.30.... AFTER TWO DAYS. Welcome back, Jim Simons 🤡

[Tobias Reisner @reisnertobias]

The @the_nof1 DeepSeek Model is already outperforming 99% of Traders.

HyperScore of 6.1 out of 10
Sharp Ratio of 13.3
Max DD of 15.52%

Why I like it?
It's automated. Rather than discretionary Vault Strategies I don't have to fear the usual outperformance of 3 weeks to be followed by a total wipe out because of poor risk management.

You can easily track and copy trade it on Tools like @HyperSignals_ai

Wallet
0xc20ac4dc4188660cbf555448af52694ca62b0734

[.smirk @TheJerryInyang]

@toyo_tp 👀

[.smirk @TheJerryInyang]

@Alkan1459903 @quantbeckman Don't be disrespectful, man.

If you can't get anything useful from it, just scroll to the next post on your TL.

Don't expect to be spoon-fed success.

[.smirk @TheJerryInyang]

@scalpinjimmy @TradeZella When you say 'tested on the entire 2025...', is that an out-of-sample test?

From what you've said, it might not be very wise to trust the results you're observing just yet

[.smirk @TheJerryInyang]

@momentmal2022 @TradeQuantiX @NorgateData Good work🤝
How did you define 'weakness'?

[.smirk @TheJerryInyang]

@JoachimMo1985 @ZionAlgos My thoughts exactly.
I think it just sounded cool, that's why he said it

[Quant Beckman @quantbeckman]

There are issues that, although they seem like common sense, are only common in the minds of some #quants. For example, why are firms hiring PhDs just to identify which methods are most appropriate to use with certain data?

One of the main blunders I've encountered time and again is this: Failure to align the modeling method with the #trading model’s objective. When you use methods created by third parties, the usual result is poor performance and losses. This happens because methods are designed to address specific problems and have inherent limitations that, if ignored, prevent the model from fulfilling its purpose.

[.smirk @TheJerryInyang]

@MarginCall4 1 year of 5-minute data still represents just 1 year of market period as 1 year of daily data, but with exponentially more noise and volatility.

If your strategy can extract meaningful signals from such a low signal-to-noise environment, then by all means, go for it.

[.smirk @TheJerryInyang]

@MarginCall4 This only works under the assumption that the relationship between more data (derived from more granularity) and statistical significance (or useful information) is linear; which is critically flawed.

[.smirk @TheJerryInyang]

@ZenomTrader Nice work🤝
What's your asset universe selection like? Manual or is this based on any selection rules?

[.smirk @TheJerryInyang]

@guy_nale You're doing very well, brother. You might not be where you want to be yet, but you're right you need to be. Keep pushing, man.

(PS: you still followed it with the motivational statement, and I dig it😄🤝)

[.smirk @TheJerryInyang]

@TradetroniX @SwarmQuant Great! Would be nice to see what you come up with. Cheers!

[.smirk @TheJerryInyang]

@MoDivine1 @SwarmQuant @TradetroniX Funny enough, I haven't tried this🤔

So far, in my experiments, I have only used Minmax normalisation (and sigmoid, sometimes) for the distance-related conditions

[.smirk @TheJerryInyang]

@TradetroniX @SwarmQuant Basically. You could also combine that with other signals to 'penalize' overbought/oversold conditions.

In a way, it's still the same thing as 'filtering' with extra conditions in a discrete system, but with continuous signals, rather than on/off switches

[.smirk @TheJerryInyang]

@Cheesecak_Mafia Thanks for reading, mate🤝
You're correct. The idea of a stop loss doesn't fit into the system, so I did not use it.

[.smirk @TheJerryInyang]

1/N

Last week, @JoachimMo1985 and @thetradler initiated the "continuous vs binary" conversation, which I found to be very interesting, including all the insights made by other respectable accounts.

I couldn't say anything because I had never tried it out, so I decided to...

[.smirk @TheJerryInyang]

@MoDivine1 I see. Maybe that's it, then.

Well, as long as it leads somebody a step closer to his/her AHA! moment, I have nothing against it

[.smirk @TheJerryInyang]

I can't tell if this post is satire, or intentionally vague.

It sounds like great advice (or even an edge) until you have to define:
- uptrend / downtrend
- pullback / rallies
- actual vs false breakouts/breakdowns
- support / resistance
- where the 'range' limits are

[Steve Burns @SJosephBurns]

Five basic trading strategies:

1. Buying pullbacks in an uptrend.

2. Shorting rallies in a downtrend.

3. Buying breakouts in bull markets.

4. Shorting range breakdowns in bear markets.

5. Buying support and shorting resistance in a rangebound market.

These are all valid ways to make money in any market if you manage your risk-to-reward ratio at entry.

[.smirk @TheJerryInyang]

@thetradler @arnaud710 @JoachimMo1985 How do you implement your continuous system?

[.smirk @TheJerryInyang]

@TradetroniX @JoachimMo1985 @thetradler I spoke about the image from post 17 of the thread. I agree, it's a bit too lengthy 😅

Those results are from further experiments with it. Particularly, applying weights to each member of the voting system and optimizing those weights on historical data.

[.smirk @TheJerryInyang]

@TradetroniX @JoachimMo1985 @thetradler That's very interesting. The whole conversation was very insightful. For all my years in experimenting with algorithms, I never tried it. I have also never seen a strategy work as well as this one did "right out of the box" without tweaking parameters.