QHASH AI
Artificial Trading Intelligence
Step 1
Tradable Cryptocurrencies
Live market price actions, trends, and news are continuously monitored by QHASH AI, defining a unique list of cryptocurrencies by filtering them based on market cap, volume, liquidity, and volatility. The list is updated on a day-to-day basis to ensure it reflects the most current market conditions.
Step 2
Targeted Cryptocurrencies
Setting up a trading session starts with the AI analyzing the tradable cryptocurrencies list for the given moment, considering the latest training results and selecting the target group of coins for trading.
Step 3
Risk Rate & Target ROI Percentage
The optimal risk rate and target ROI % ranges have been established through extensive training and testing sessions of QHASH AI. The risk rate indicates the accuracy of successful trade outcomes, while the target ROI % represents the minimum profit margin for each trade. Both risk rate and target ROI % are adjustable parameters for each trading session, defining the risk-to-reward ratio.
Step 4
Initial Funds
Each trading session begins with an initial starting fund in Ethereum. This budget is an adjustable parameter that can be increased or decreased based on QHASH AI's recommendations during the trading process, optimizing risk and maximizing profit generation.
Step 5
Profitability Model
QHASH AI utilizes various trading strategies within each session and executes trades across a targeted group of cryptocurrencies, disregarding stablecoin values, to enhance Ethereum holdings. Once the desired ROI% is achieved, QHASH AI secures the profit and proceeds with the next transaction using the initial fund amount.
Example: If the initial cryptocurrency fund is 10 Ethereum and the target ROI % is 1%, QHASH AI executes trades across a targeted group of cryptocurrencies to achieve a minimum profit of 0.1 Ethereum. With a profit of 0.1 Ethereum achieved, the total current balance reaches 10.1 Ethereum. QHASH AI secures the 0.1 Ethereum profit and continues trading with the initial budget of 10 Ethereum.
Step 6
Trading Strategies
Various trading strategies, including Scalping, Multi-Pair Trading, Swing Trading, News-Based, and Event-Driven, are utilized within trading sessions. Each session can implement multiple strategies simultaneously, taking into account historical and real-time data along with the continuous training and testing results to recognize profitable patterns.
Step 7
Prediction Model
Alongside QHASH AI's main model, a prediction AI model operates to support trading sessions with short, mid, and long-term market forecasts. This model combines results from in-house historical data analysis with various third-party sources, considering up to 18 technical indicators related to market sentiment, trend directions, and potential trading signals.
Step 8
Trading Environment
All trading sessions are conducted on centralized exchanges (CEXs) while still utilizing decentralized exchanges (DEXs) for specific analytical purposes.