Bitcoin Trading Bot

Built for consistency not prediction

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BTCbot is a disciplined execution system designed to systematically extract small, repeatable profits from real market conditions — without relying on guesswork or hype.

The core strategies that the bot trades are strategies that we have manually trades over time and still use today

The bot is able to trade multiple strategies in unison thanks to a multi layered processing core. Each trade is allocated to the originating strategy to ensure we know which strategies are performing or under performing.

New strategies are incorporated into the development bot instances and tested thoroughly before they make it into production

This isn’t a system that tries to predict the market. It’s a system designed to operate within it — consistently, repeatedly, and with controlled risk

Consistency over prediction

Our system doesn’t try to guess where the market is going

It focuses on executing high-probability trades with controlled risk, taking small gains repeatedly rather than chasing big wins

Built by experienced developers and traders - Designed for real market conditions — not theory

Human insight. Machine execution

The biggest advantage the bot has over most is the ability to inject manual trades into the engine

No automated system can perfectly interpret every market condition.

BTCbot combines structured automation with human oversight

When high-quality opportunities are identified, trades can be injected into the system — where the bot then manages execution, scaling, and exits with precision

This allows us to:

  • Increase exposure at key levels
  • Maintain disciplined execution
  • Avoid emotional decision-making

All trades — whether automated or manually introduced — are executed and managed under the same system rules

How is BTCbot different?

Most trading systems:

  • Try to predict the market
  • Rely on complex indicators
  • Break down in live conditions

BTCbot:

  • Reacts to price, not forecasts
  • Keeps logic simple and robust
  • Is refined through live trading, not theory
  • Removes strategies that don’t perform in reality

Every trade is tracked. Every decision is measurable. Performance is based on real execution — not simulated results

The system has been refined through live testing, with many filters and strategies deliberately removed when they reduced real-world performance

How it works

1. Small, repeatable gains

Most trades target between 0.3% and 0.6%

The focus is consistency, not large wins

2. High frequency execution

When conditions allow, the system operates continuously, capturing small movements rather than waiting for major market swings

3. Adaptive strategies

Multiple strategies operate depending on market structure:

  • Trend following
  • Counter trend
  • Long and short positioning
  • Strategies selectively enabled depending on market conditions

4. Strict risk control

Position sizing, scaling, and execution are all managed systematically

  • Exposure is capped by limiting total position size relative to capital
  • New trades pause under stress
  • Recovery is systematic, not reactive

No emotional decisions. No chasing

How much does it cost?

  • Capital is allocated in blocks (£500 per block)
  • Each block participates proportionally in system performance
  • Withdrawals require 15 days’ notice to allow positions to be managed correctly
Notice is required so that trades can be exited in profit. Blocks carry many trades and profit share is allocated to all blocks that were live as the trade was openedAny trades lines open after the 15 days will be transferred to an internal block and profit from remaining trades reallocated

Why choose algorithmic bot trading?

Finding and maintaining the discipline to be consistently profitable is something that most never master

Trading is all about strategy, math and monitoring results. Entering trades and exiting when either take profit or stop loss is hit is not enough to build a sustainable set of strategies

Having an understanding of every strategies performance and meta data of the trading conditions that the bot entered and exited on is invaluable

Trading requires discipline - a bot has discipline

Strategy, risk management and discipline are the backbones of success

Discipline is the one that's hardest to master, for some it is impossible. Chasing green candles, taking profits early, moving stop losses and trading high leverage are some of the hardest elements of trading to fight against

BTCbot removes this issue - it is coded to trade in a particular way and cannot deviate from that

What is the risk

No trading strategy is risk free..... however the bot has been built to give each instance the best opportunity possible to lift off with as close to zero risk as possible

Upon start up both long and short positions will begin to open which means as price moves against some trades the other trades are taking profit immediately

  • Max risk is 10% of capital
  • If the 10% level is breached the bot will automatically stop entering new trades
  • Existing trades remain open until price movement begins closing trades in profit
  • At this point the bot will begin opening new trades
  • This allows for a controlled stop/start scenario if max risk is encountered
  • 10% is a big move for Bitcoin and happens over days/weeks rather than minutes/hours
  • The bot trades based on the one and five minute timeframes and closes trades on a small percentage gain so the high frequency opening and closing stops a buy and hold type scenario which is where risk is often exposed
Our job is to manage risk, yes we are very focussed on making profit but even more focussed on not losing money!

What about the profits?

We don't deal in pump and dump crypto, the bot engine has one focus... take profit

Profit targets are small but there are many of them - the bot locks them in as soon as they hit target

Now that all the strategies are coded in we're now in the phase where our day is spent watching charts and injecting trades

These injected trades are what set the bot apart from all of the competition - we analyse the markets, the bot deals with the execution cycle

  • Profits are small but very often and build up on account over time
  • The bot will continually close trades on small percentage moves to ensure profits are locked in when on the table
  • The bot trades on small market fluctuation rather than big moves that take time to build and often fail
  • Injected trades are what really push the profitability up
  • As soon as a trade is closed the profit is added back to capital and compounded into very next trade
  • The system manages positions dynamically, balancing exposure across trades and timeframes to reduce the impact of adverse movement.

Read more about maker and taker fees

How do you make your money?

We earn money in two ways

1. From our own capital being traded through existing bot instances we already run

2. From opening the bot to external users, which creates a passive income stream that can then be used as additional trading capital

We do not take a share of your profits. Our model is based on benefiting from the maker/taker trading fee difference offered by exchanges

  • Exchanges allow two types of trade entry - Maker and Taker
  • A taker trade is charged at x% and a maker trade at a lower y%
  • We worked hard to ensure that every trade the bot takes is a maker trade which saves on fees
  • Upon each trade closure (in profit) we take the percentage difference between the maker and taker fee
  • We only make money by making you money, we're essentially performance targeted
  • Lots of trades builds up over time for us and for you

We do not take the maker/taker fee difference until the bot instance is in profit! This is to ensure profitability is achieved as quickly as possible

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Want to join or simply have a question about how it all works? Send us a message and we’ll get back to you.

We’ll only use your details to reply to your enquiry.

Recent Articles

Profit sharing

A bit more about how we allocate profit and protect block capital

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Maker and Taker fees

A simplified overview of what maker and taker fees

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Is the trading bot made with AI?

A brief discussion on AI bots

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Our story

Why and how the bot came about

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