INIT.SEQ: RUNNING

/// Guide to
Algo Trading

From basics to launch.

KEY TAKEAWAYS

  • > Algo trading is the automation of exchange trades using programming code that operates according to pre-set rules.
  • > To minimize market impact, order slicing strategies are used: VWAP, TWAP, and POV.
  • > The main advantage is speed and lack of emotion. The main risk is technical failures and the need for programming skills.

01. WHAT IS ALGORITHMIC TRADING?

CONCEPT_FILE

Humans are prone to emotions, which often hinders rational trading decisions. Algorithmic trading solves this problem.

It is a method where computer algorithms analyze market data and automatically generate orders to buy or sell financial instruments.

The program acts strictly according to the conditions set by the trader. This not only multiplies the speed and efficiency of trading, but also completely eliminates fear, greed, and other emotions leading to losses.

02. HOW IT WORKS: 5 STEPS TO AUTOMATION

Launching a trading robot is a sequential process. Below are the main steps for creating your own algorithm:

01_

STRATEGY SELECTION

Everything starts with an idea. A strategy relies on technical indicators or price action. It doesn't have to be complex.

Example: Buy an asset if its price dropped by 5%, and sell if it rose by 5%.
02_

PROGRAMMING

The logic must be translated into computer language. Most commonly, Python (pandas and yfinance libraries) is used.

# Conceptual example if price_close < yesterday_close * 0.95: generate_signal('BUY') elif price_close > yesterday_close * 1.05: generate_signal('SELL')
03_

BACKTESTING

It is strictly forbidden to launch an algorithm without testing. Backtesting runs the code through historical market data. This shows historical profitability and helps correct errors before risking real money.

04_

EXECUTION & EXCHANGE CONNECTION

If tests are successful, the algorithm connects to a platform via an API. Using a library (e.g., python-binance) and API Keys, it gets rights to send orders.

# Sending a real order client.create_order( symbol='BTCUSDT', side='BUY', type='MARKET' )
05_

MONITORING & LOGS

You can't just turn on a robot and forget it. For control, a logging system is added: recording every step, price, and time into a file.

[2026-03-08 14:00] SIGNAL_BUY triggered
[2026-03-08 14:01] EXEC: Bought 0.1 BTC
[2026-03-08 14:01] Saved to trading.log

03. POPULAR STRATEGIES (EXECUTION)

Algorithms are often used not to find entry points, but to carefully execute large orders without 'moving' the market price.

VWAP (Volume-Weighted Average Price)

The algorithm slices a large order into smaller parts and executes them so the average price is as close as possible to the market's volume-weighted price.

TWAP (Time-Weighted Average Price)

A similar approach, but the order is sliced into equal parts and executed at regular time intervals (e.g., every hour during the day).

POV (Percentage of Volume)

The program buys or sells an asset so that the trade volume makes up a strictly defined percentage (e.g., 10%) of the current total market volume. Execution speed dynamically changes with market activity.

04. PROS & CONS

[+] Pros
High Speed

Programs execute trades in milliseconds, allowing you to profit from micro-fluctuations unavailable to humans.

Emotionless Trading

The robot is immune to FOMO or panic during market crashes. It strictly follows the rules.

[-] Cons
Technical Barrier

Requires a deep understanding of both financial markets and coding (programming).

Systemic Risks

A bug in the code, internet outage, or exchange server crash can lead to instant and massive financial losses.

conclusion.txt

IN CONCLUSION:

Algorithmic trading is a powerful tool that transforms trading from a manual routine into an automated process. Despite obvious advantages in speed and discipline, this approach requires serious technical preparation and constant system monitoring.

> root@algosys:~# exit