Runbot – The No-Code Weapon to Monetize Bitcoin Orderflow Imbalances

There are days when markets scream, but few know how to listen. A sudden Bitcoin surge, a flood of institutional capital—and yet, most internet users miss the signal.

There are days when markets scream, but few know how to listen. A sudden Bitcoin surge, a flood of institutional capital—and yet, most internet users miss the signal. Why? Because raw information isn’t opportunity until it becomes actionable. In this era ruled by ETFs and bots, one key question emerges: can you monetize these signals without being glued to your screen or learn complex programming languages? The answer is yes—if you have the right tool and a strategy that reads between the lines of the order book.

Bitcoin ETF Inflows: A Macro Force

Bitcoin ETF inflows are a measure of large-scale institutional capital entering the market. When giants like BlackRock report record-breaking inflows, the crypto market reacts nearly instantly. On April 29, 2025, a $590 million surge drove BTC from $93,800 to $95,450—a 1.75% intraday jump.

Now, these moves aren’t exactly gradual. They create a sharp imbalance between buy and sell orders, which in turn, creates a strong pressure that can be anticipated. The good news? This data is largely public. Platforms like YCharts display it openly, and it allows traders to react accordingly. But to combine this insight with a bot in real time—that's where the real opportunity lies.

Orderflow: A Key Indicator for Direct Action

The Orderflow indicator tracks the real-time imbalance between market buys and sells. It’s based on a simple formula: Volume of Market Buys / (Volume of Market Buys + Volume of Market Sells). A ratio above 55% signals strong buy pressure.

Unlike lagging indicators (like MACD or RSI) which are plotted on a chart with lagging candlesticks, Orderflow reacts instantly. It captures the market's tension as it unfolds, making it ideal for quickly responding to macroeconomic news or massive ETF inflows. Its interpretation is simple: a sustained high ratio (e.g., above 55%) signifies an intensity of buying that can be followed mechanically.

Runbot: The No-Code Weapon for Algo Trading

Nowadays, automating your trading strategy isn't a skill reserved for Python developers. Runbot offers an intuitive interface where strategies are built like Lego structures. Each block is a condition, a trigger, or an action. Traders can select indicators (Orderflow, VWAP, Liquidations…) and define their rules with a visual logic builder. Order execution is done via Webhook connectors to exchanges like OKX.

This design allows even beginners to create robust strategies, test them with backtesting modules, and launch automation—all without writing a single line of code. It's a complete democratization of algorithmic trading.

Tutorial: Creating an Orderflow Bot

Step 1: Open Runbot.io and create a new strategy.

Step 2: Add the Orderflow indicator from the "Indicators" library.

Step 3: Define a trigger condition: "Orderflow ratio > 55%."

Step 4: Set up a buy order with a specific position size, ideally limited to 2% of your capital.

Step 5: Define the stop loss and take profit levels (to be chosen according to the risk you wish to take).

Step 6: Run a 30-day backtest to validate the strategy's relevance in various market conditions.

Case Study: April 29, 2025

Now, let's apply this. April 29 is a textbook case. As Bitcoin ETFs recorded a massive $590 million inflow, Bitcoin surged more than $1,600 in just a few hours. If a Runbot bot had been programmed to be triggered by a 59% Orderflow spike and react with a buy order, an entry at $94,000 and exit at $95,200 would have been realistic.

With a $500 position on OKX and 2x leverage, the net gain would be around $12, or a 2.4% return in less than half a day. A small gain, but crucial in a scalping strategy. If we repeat this on three similar signals, we achieve a 7.2% return in 24 hours—a promising start for a semi-passive scalping strategy. And it all pivots around a powerful fundamental: large-scale institutional capital.

Going Further: Combining Indicators for Precision

Orderflow imbalance isn't always directly linked to institutional influx. It could also signal a massive closure of shorts, i.e., a short squeeze. To refine our reading, we can use a second indicator: Open Interest. If this rises at the same time as Orderflow exceeds 55%, we can deduce that new long positions are being opened. In this case, we’ll need