Ordinary people also have the opportunity to build their own automated quantitative trading systems.
After obtaining the beta testing qualification for Binance AI, I conducted a round of in-depth testing. I sighed; after completing this round of testing, I find it very difficult to go back to using those scattered, patchwork 'lobster tools'. 😂
Because the production efficiency of Binance AI is too high!
Binance AI is powered by the Anthropic Claude Sonnet series large model (deployed on AWS Bedrock).
This model is understood by those who know.
In summary:
Expensive and powerful.
Especially in coding and complex task handling, it has always been recognized as a strong model.
So for this internal test, I directly tested its core capabilities.
Create an automated trading arbitrage system.
1. Why did I choose automated trading as this internal test direction?
The cryptocurrency market has become increasingly mature.
The trading scenarios of market participants are increasing, strategies are becoming more mature, and the demand for efficiency is also rising.
Thus, a trend is becoming increasingly obvious:
More and more people are starting to need their own automated trading.
The reason is simple:
People cannot watch the market 24 hours a day.
Many trading opportunities arise very quickly; missing them means missing them.
Mature trading will eventually lead to
Regularized → Systematized → Automated.
But the real issues are also quite clear.
Many people are not unwilling to do automated trading,
But it just can't be done.
There are mainly two reasons:
First, technical threshold.
You need to understand:
API interface.
Script.
Deployment.
Monitoring.
Error message.
Investigate.
Many people are already discouraged just thinking about these.
Second, cost threshold.
There are many automated trading systems on the market.
But it's too expensive, and it's not their own trading strategy.
Many people start to worry directly.
Thresholds are raised, making it unaffordable.
What I found interesting about this internal test is:
Binance AI has greatly lowered this threshold.
Give technical novices the opportunity to use it at a lower cost.
Build your own automated system.
So after I obtained the internal testing qualification for Binance AI,
I directly gave it intensity: automated trading system.
2. My 'super engineer'.
My task for Binance AI is:
Create an automated arbitrage system.
The core logic is actually very simple:
Monitor the price difference between Binance spot and contracts.
When the price difference reaches the arbitrage threshold:
Spot opening.
Contract reverse opening.
When the price difference returns:
Simultaneously closing positions on both sides.
Sounds simple.
But when truly unpacked, it is actually a whole set of system issues.
For example:
How to monitor price differences.
Which currencies are included in monitoring.
How to set the price difference threshold.
How to calculate transaction fees.
How to dynamically configure the thresholds for opening and closing positions.
How to equalize spot and contract positions.
What to do with single-leg transactions?
How to handle slippage.
How to record actual transaction price differences.
How to control single currency limits.
Is a blacklist mechanism needed?
Whether automatic opening and closing positions can be toggled individually.
Is the funding rate direction used as a filtering condition?
Can the page be created for easy direct operation?
Wait, wait, wait.
I originally thought that,
This will be a:
Product manager vs developer engineer.
Dialogue.
I put forward my needs.
It is gradually being realized.
But I quickly found out that,
I thought too much. 😂
3. Binance AI really gets things done.
During this internal test, what surprised me the most about Binance AI was:
It will push itself towards a complete product direction.
You are facing someone who also serves as:
Product manager.
Developer engineer.
Test engineer.
Compound-type players.
This is particularly satisfying!
Because you do not need to communicate with it in a particularly professional way.
You just need to verbally express:
The goal is clear.
Clear rules.
It will start by itself:
Building structure.
Find logic.
Filling in details.
Communication costs are very low!
Even many system details,
All of this is gradually pushed out by Binance AI itself.
The whole process is roughly like this:
From the very beginning:
Basis monitoring.
To the later:
Automated arbitrage system design.
And then:
Parameter system.
UI prototype.
Deployment online.
Investigate issues.
Repeatedly fixing.
The whole process continues to move towards the goal.
This point is actually very important.
Because in reality, truly valuable tasks,
Are rarely completed in a single Q&A.
Most of the time it is:
First communicate.
Supplement details again.
Constantly discovering problems along the way.
Fix.
Test again.
Revise again.
Many AI tools start to get confused when tasks are complex and context is lengthy:
Forget what was said earlier.
Just confirmed rules start to conflict.
The logic drops when it gets long.
When encountering deployment issues, just shift the blame back to the user.
But this time Binance AI is different:
It can truly participate in a complete production chain.
4. Why is it so hard for me to go back to using other tools?
Previously used various 'lobster tools',
Actually quite tiring.
Because many times,
You are not using tools,
But rather serving as an assistant to the tools.
You need to:
Constantly supplementing information.
Constantly explaining the context.
Constantly correct logic.
Very time-consuming.
But the feeling of Binance AI is completely different.
It is like a 'general dispatcher'.
This has a very obvious impact on production efficiency.
Especially when you are dealing with a systematic trading system,
Advantages will be magnified very clearly.
Written at the end.
Chat-type AI, many have already seen a lot.
An AI that can write code is no longer surprising.
But being able to handle a complex task:
Continuously understand your goals.
Fill in your logic.
Advance your system.
Accompany you to grind things out bit by bit.
Such AI is actually not common.
What Binance AI showed me this time is,
This is that capability.
Especially in a high-frequency, high-complexity, high-efficiency requirement environment like the cryptocurrency industry,
The value of this capability will be very high.
Implement trading ideas into a system.
Binance AI is lowering the threshold for this step.