We re-define the approach to trading with Behavioral Trading AI.
Over 85% of retail traders experience losses in active trading despite having access to various technical & fundamental analysis tools. At Hoc-trade, we firmly believe that traders themselves hold the key to success. By assessing the behavioral biases and emotion-triggered actions of a trader, Hoc-trade helps to create measurable
improvements by identifying & warning of repetitive loss-making patterns.
Hoc-trade is a 100% data-driven behavioral trading analytics platform that leverages AI and big data for your trading success. Our smart system identifies individual trading patterns, particularly those leading to losses, and promptly notifies traders whenever they exhibit behaviors indicative of loss-making patterns. The Hoc-trade Trade Medic report helps traders of all experience levels to quickly identify their most destructive behaviors.
Hoc-trade enables easy integration for brokers, exchanges, and prop trading firms seeking to improve their traders, drive trading volume, and provide the best AI-powered user experience to their clients. Hoc-trade strives to elevate trader's performance by limiting the impact of loss-making patterns and strengthening their trading edge. Our smart algorithms identify those loss-making patterns by looking at wide array of trading metrics, such as Entry & Exit Timing, Revenge Trading, Early Closing of Win Trades, Late Closing of Loss Trades, and Overtrading.
All processes are entirely automated within our application. Hoc-trade provides traders with vital tools to enter a continuous improvement cycle. Detect & comprehend behavioral patterns, track pattern impact over time, receive real-time alerts, benchmarking personal trading metrics against profitable traders, and enable knowledge exchange within the trading community.
***Currently in alpha testing - beta testing starting soon***
If you are interested in enjoying an early access (free), please join our Discord server. All necessary information will be provided there: https://discord.gg/hcvytJnb5U