BTC Buy/Sell Long/Short Super Indicator

BTC Patented Trading Method

The BTC Trading Method is designed to automate the cryptocurrency trading process, enabling the analysis of market data, identification of entry and exit points, and automatic execution of trading operations based on developed algorithms.

Algorithm Operation

The patented trading method utilizes a complex, multi-stage algorithm to automate analysis and trade execution based on technical indicators and specially designed trading strategies. The program’s core operation relies on data from technical and fundamental analysis, analyzed by artificial intelligence in real-time, allowing traders to find the best entry and exit points in the market.

Initiation of the Trading Process

When the strategy is launched, the program activates the calculation of key technical analysis indicators, with defined parameters (periods, data sources, and overbought/oversold zones). Parameters can vary depending on the user’s chosen configuration.

Next, the program tracks historical and current market data in real-time, using these indicators to create a “current state” of the market and subsequently analyze price dynamics.

Formation of Trading Signals

Based on the accumulated data, including historical price extremes and changes in indicator values, the program generates potential trading signals.

These signals are divided into two types:

Bullish Signals - generated upon detection of overbought conditions and corresponding divergence, indicating a potential upward price reversal.
Bearish Signals - created upon finding an oversold zone and bearish divergence, indicating a possible price decline.
The program also records local minimums and maximums for added signal accuracy, providing traders with complete information for decision-making.

Historical Analysis and Strategy Adjustment

The program records the history of all trades and signals, providing the trader with the opportunity for retrospective analysis. This data is used for further strategy optimization and adjustment of the trading system’s parameters depending on the current market situation and the user’s trading style.

In this way, the system automatically performs analysis, generates trading signals, initiates orders, and manages positions, allowing traders to minimize the emotional impact on the trading process and make informed decisions based on mathematically validated data.