Swarm Intelligence

Preliminary phase of a group experiment for the determination of prices in a controlled collective environment
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BACKGROUND
Linear thinking represents an approach that is increasingly seen as limited when compared to more effective methodologies. One such method that stands in stark contrast is the concept of connected biomimicry, particularly through the lens of swarm intelligence. This concept posits a superior solution by leveraging the inherent collective wisdom found in nature. In the natural world, organisms are innately predisposed to collaborate effectively, exemplified by the maneuvers of birds or the cooperative hunting strategies of lions. Such collaborative behaviors underscore the principle of Swarm Intelligence. This phenomenon encapsulates how the aggregated actions of a group of simple entities can lead to outcomes that are significantly more sophisticated than the sum of individual efforts.

The principles of Swarm Intelligence have been successfully abstracted and applied beyond the natural world, finding utility in several modern-day fields. These applications range from robotics, where it informs the design and operation of autonomous systems, to information technology, enhancing processes and optimizing scheduling. Through these diverse applications, Swarm Intelligence demonstrates its versatility and effectiveness as a model for addressing complex challenges in a collaborative manner.

THE IDEA
The start of a series of tests is the subject of this thread. This test series evaluates price forecasts of a small collective of participating traders for initially a handful of markets, in that each participating trader in the test collective submits his price forecasts for these markets. The forecasts are evaluated with different individual weightings and ultimately result in final fixed prices. This will be posted here in the thread immediately after the evaluation. The method is refined until a high degree of precision is achieved. The whole process is experimental with no guarantee of success. Several test series will be started. We will journal transactions (entries and exits) in this thread based on the determinations once a certain level of accuracy is reached.

The experiment starts next tuesday. We invite you to post a simple "I'm on board" to keep the thread at the top of the thread list. This will also let us know the amount of data that we can expect to receive. It is not necessary to actively trade the specific markets. Intuitive guessing is perfectly fine!

PROCEDURE
(Almost) every day at 11:00PM (cet) the query of high and low price of a market or several markets for the next day is asked in this thread. Participants then send their forecasts to: swarmintelmarkets@gmail.com
by 11:30PM (cet) at the latest. It is relevant that no forecast is made available to the other participants or posted here. Each part of the "swarm" must forecast autonomously. At 11:45PM (cet) the result will be published here. At the end of the day, it will be evaluated how the course of trading has reflected or missed the forecast.

Email Text format example
EURUSD H:1.0860 L:1.0735
DAX H:18722 L:18510
INT (or) TA
________________
H=High of the day
L=Low of the day
INT=If you have used your intuition (incl. fundamental data knowledge)
TA=If you have used technical analysis

No additional text please!

If you like this experiment, forward this thread to your friends! The higher the number of participants, the higher the expected accuracy.

Isn't that just groupthink? This is already explained in Fibonacci so not sure what you're trying to accomplish but give me the stocks and I'll tell you the future prices.

Also starling murmation is the result of sensing the shift in flight of the birds immediately around them...so it's more of a domino affect than a group thing.
 
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Yes... but wait... You have to consider the impact of Bell's Theorem of Quantum Entanglement and the essence of synchronicity in a complex system based on the Fearful Symmetry of any specific trade even the ones that are never taken.

Add to this a deep understanding and the ultimate need for the purification of a Trader's Nadi Channels and the alignment of his Chakras at the open of the market... all helping to magnetize a traders ultimate PnL...

Knowing This Is Paramount For Trading Successfully... :cool:

Correct.I was about to say exactly this.

:D
 
I use to have the Morgan Kaufmann Series book "Swarm Intelligence" but I can't say I figured out how to relate anything in that book to trading.

Agent based models are obviously interesting but then again, the issue is how to relate this to trading. It is hard enough to model one trader (yourself) let alone millions.

I suspect much of anything you find code wise about this too will be in NetLogo. NetLogo really had a foothold in the early days of Complex Systems because Northwestern was an early university in taking the subject seriously and NetLogo was made at Northwestern.

Studying swarm intelligence specifically without studying Complex Systems generally doesn't really make sense either. It would be like studying the window length of a moving average without knowing what a moving average is.
User 'trismes' was kind enough to post the link to Estimize https://www.estimize.com/
So there are obviously ways to apply the principle of swarm intelligence. What we are trying to do now is narrow it down to a few markets and estimate not earnings data but the highs and lows of the next session. Hope that helps.
 
Isn't that just groupthink? This is already explained in Fibonacci so not sure what you're trying to accomplish but give me the stocks and I'll tell you the future prices.

Also starling murmation is the result of sensing the shift in flight of the birds immediately around them...so it's more of a domino affect than a group thing.
No, it's not what's called groupthink. In this case, the participants do not discuss or share their estimates with each other, but transmit them in isolation.
 
User 'trismes' was kind enough to post the link to Estimize https://www.estimize.com/
So there are obviously ways to apply the principle of swarm intelligence. What we are trying to do now is narrow it down to a few markets and estimate not earnings data but the highs and lows of the next session. Hope that helps.


https://www.linkedin.com/pulse/fibonacci-perspective-emotions-ali-anani-phd

It's all Fibonacci at work not swarming. Like at the supermarket or bar you get cycles of lineups and no lineups...one would think it would be spread out evenly.

No, it's not what's called groupthink. In this case, the participants do not discuss or share their estimates with each other, but transmit them in isolation.

Why does your website reference murmation then? That phenomenon is not done in isolation.
 
No, it's not what's called groupthink. In this case, the participants do not discuss or share their estimates with each other, but transmit them in isolation.
https://www.linkedin.com/pulse/fibonacci-perspective-emotions-ali-anani-phd

It's all Fibonacci at work not swarming. Like at the supermarket or bar you get cycles of lineups and no lineups...one would think it would be spread out evenly.



Why does your website reference murmation then? That phenomenon is not done in isolation.


What you should be considering is the markets determinism. Earnings reports can be forecast...even determined by cycles in the price action. People think that price reacts to news, but price is determined by Fibonacci cycles, so therefore news will facilitate what is necessary for the price to complete the current cycle.

In other words Fibonacci determines the environment needed to complete the cycle, and the news will tend to facilitate this. So related to your experiment, a good earnings report can be forecast if the price cycle determines an extension in price.
 
That's great. So are agent based models. But it's not this...
https://en.wikipedia.org/wiki/The_Wisdom_of_Crowds

Mindgamer you might have noticed everyone's gone off at a tangent. 15 years back I pitched Autonomy to use their sentiment analysis to predict volatility in financial markets. My pitch wasn't clear; actually it was bloody awful looking back. They dismissed it out of hand, then two years later two tech students sold a model based on same to Goldmans for a couple of mill. Just sayin.
 
That's great. So are agent based models. But it's not this...
https://en.wikipedia.org/wiki/The_Wisdom_of_Crowds

Mindgamer you might have noticed everyone's gone off at a tangent. 15 years back I pitched Autonomy to use their sentiment analysis to predict volatility in financial markets. My pitch wasn't clear; actually it was bloody awful looking back. They dismissed it out of hand, then two years later two tech students sold a model based on same to Goldmans for a couple of mill. Just sayin.
It is a lively exchange. Everyone has ideas about this little experiment and shares them. That's perfectly fine. We'll start on Tuesday and the empirical results will then be available for us to look at and ponder.
 
What you should be considering is the markets determinism. Earnings reports can be forecast...even determined by cycles in the price action. People think that price reacts to news, but price is determined by Fibonacci cycles, so therefore news will facilitate what is necessary for the price to complete the current cycle.

In other words Fibonacci determines the environment needed to complete the cycle, and the news will tend to facilitate this. So related to your experiment, a good earnings report can be forecast if the price cycle determines an extension in price.
"The chart makes the news!"
 
Please check the charts of the following instruments and estimate what the high and the low of tomorrow will be!
  1. EURUSD
  2. USDJPY
  3. DJIA
  4. TBONDS
  5. AAPL
  6. Bitcoin/USD
Write your estimation as an email to: swarmintelmarkets@gmail.com
by 11:30PM (cet) at the latest. It is relevant that no forecast is made available to the other participants or posted here. Each part of the "swarm" must forecast autonomously. Do technical analysis (TA) or just guess intuitively INT). At 11:45PM (cet) or maybe later the result will be published here.

Write the Email in the following format:
EURUSD H:1.0860 L:1.0735
DAX H:18722 L:18510
INT (or) TA
________________
H=High of the day
L=Low of the day
INT=If you have used your intuition (incl. fundamental data knowledge)
TA=If you have used technical analysis

No additional text please!

If you like this experiment, forward this thread to your friends! The higher the number of participants, the higher the expected accuracy.
 
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