Story of TurboBridge
I didn't start by trying to build a trading automation platform. I was simply trying to find a better way to test and automate my own trading ideas.
01 · Where it started
I started with the same idea many people have.
When I first decided to try my hands at cryptocurrency, I had the same thought many people do: I'll buy a few coins and wait for the next 100x.
But I quickly realized that those easy days might be gone. New coins keep appearing, and the crypto market is so volatile that investing blindly is scary. A $10,000 investment might not turn into a million, but it could easily drop to a few thousand — or even a few hundred.
Sitting in front of a computer all day staring at charts, drawing trend lines, and figuring out the next move wasn't really an option.
02 · The experiment
So I started looking into automated trading.
I started chatting with AI tools like ChatGPT to learn how automated trading works. I learned how to download historical market data from my exchange, which was CoinSwitch at the time, and asked ChatGPT to help me write Python scripts that could analyse the market and generate buy and sell signals for specific coin pairs.
One day, my exchange decided to run a special promotion with zero trading fees. Since trading commissions normally eat into profits, it felt like the perfect chance to test an idea.
01 · ENTRY
Momentum builds → enter
When the price movement gained momentum, the bot entered a trade.
02 · EXIT
Momentum slows → exit
When the momentum lost speed and acceleration, get out.
03 · RESULT
50%+
More than half of the trades were profitable during the experiment.
Then the fees returned.
Once the zero-fee promotion ended, maker-taker fees made it much harder to stay profitable without a much higher win rate.
03 · The problem
Testing ideas using Python was getting complicated fast.
For every new idea, I had to understand the strategy, write the code, set up WebSockets to stream live data, run backtests, generate signals, and deal with technical problems and then edge cases.
04 · The turning point
Then I discovered Pine Script on TradingView.
Everything became much faster. I didn't need to manually pull market data or keep rebuilding backend code just to test an idea.
With simple prompts, I could generate Pine Scripts, test existing indicators, and change parameters quickly to test further for better results.
Through this testing, I built strategies that showed win rates of 80-90% in testing. That didn't mean they were guaranteed to make money live, but it gave me a much better and much faster way to explore and refine ideas.
05 · Then came AI tools
AI could make things much faster.
I came across AI tools that could analyse a chart from a screenshot, suggest what to do, or even monitor markets in the background and point out potential opportunities.
It was impressive. In many ways, it was doing what I had been building — but MUCH faster.
I wasn't against those features. In fact, I could see how useful they could become with TurboBridge.
But first, I needed to make the underlying process and fundamentals something people could actually rely on.
06 · The next problem
TradingView solved the Live market data and strategy problem. Execution was still a problem.
I could create and test strategies much faster, but I still needed a reliable way to connect the alerts from my strategy to my exchange and have trades happen automatically.
The day that changed how I thought about it
I went out for a walk and left my strategy running.
My system was capturing TradingView alerts, turning them into orders, and sending those orders to my exchange automatically.
Then the lights went out.
Luckily, I wasn't in a trade. Otherwise, I don't know what would have happened that day or which direction the market would have taken me.
07 · The cloud realization
Everything needed to run in the cloud.
That experience made the requirement obvious. The strategy could be mine, but the execution infrastructure shouldn't depend on whether my computer was running, whether my internet was working, or whether I had access to the system at that moment.
The trades needed to keep running according to the strategy.
08 · Binance and the next simplification
Binance made the connection easier. But I still thought it could be simpler.
Binance provided a webhook option, and its trading fees also made it an attractive exchange to work with. After experimenting with that setup, I started looking at the problem from a simpler angle.
No matter how complicated the logic behind a strategy is, at the execution level the strategy is ultimately telling the system what it wants to do — go long/buy, go short/sell, or exit.
09 · TurboBridge - Buy/Sell/Exit - Simple
That was the idea behind TurboBridge.
I started working on TurboBridge around a simple idea: separate the strategy from the execution infrastructure.
Instead of every trader building automation and maintaining the exchange connection themselves, the strategy should be able to send a signal and have the execution layer take care of the rest, and specially should not be expensive for such a job.
Example:
or another signal source
receive · build order · execute
10 · What I wanted to make
Not just another webhook connection.
01
Dont code-use AI
Learn how to use AI to build Pine Scripts instead of treating scripts as something you have to code from scratch.
02
Free strategies
Start with ready-to-use Pine Script strategies and learn by testing and changing them.
03
Simpler setup
The setup was designed to be much simpler than the automation setups I had encountered.
04
Simple signals
The core signal can be simple. The execution infrastructure handles the exchange-side work.
05
Entry ≠ Exit
Entries and exits are treated as different order actions rather than simply using the opposite order for an exit.
06
TP / SL support
TPSL bots can place take-profit and stop-loss protection orders on Binance after entry.
11 · Bigger than one connection
TradingView → Binance was the starting point, not the whole idea.
The original thinking was not to make something that could only work with TradingView and Binance. The broader idea was a signal from anywhere, connected through one execution layer, and eventually to more exchanges if users need them.
Today, TurboBridge is focused on Binance Futures. The infrastructure can evolve based on what traders actually need.
12 · What I learned
Automated trading taught me a few things.
If you're serious about this industry, don't quit just because the first few attempts are difficult.
Test your scripts, backtest your ideas and understand what works before putting serious capital at risk.
There are no shortcuts. Strategies need testing, refinement, debugging and adjustment.
Don't add money because of luck or a few good trades. Understand how and why the system behaves first.
Builder note
“I didn't build TurboBridge because I thought automated trading was easy. I built it because I discovered how difficult it could become when you tried to do everything yourself — and I wanted to make the process simpler.”