OUR MISSION
Ivan Honis, Founder
Integrating enterprise AI systems while helping you navigate technological, security, ethical and regulatory challenges.
Ivan Honis, Founder
AI-powered reinforcement learning tool for optimizing technical analysis parameters in stock market trading strategies. Automatically identifies optimal indicator settings to enhance trading accuracy and profitability.
Automated system that detects rapid market corrections on Binance and executes responsive trades. Designed to quickly capitalize on sudden price movements or minimize potential losses.
AI-based system for accurately detecting and trading market breakouts. Identifies key price levels and signals when the market breaks beyond established trading ranges.
Market trading strategy focusing on capturing profitable action-reaction price movements. Analyzes price action patterns to anticipate and profit from short-term market reversals.
Cryptocurrency market data collection and database management tool. Provides structured storage and easy retrieval of historical crypto market data for analysis and backtesting.
Research and strategy-building tool utilizing AI to develop advanced market trading strategies. Allows traders to experiment, optimize, and validate AI-driven strategies across various market conditions.
Backend trade execution server specifically designed for strategies developed with the nDot AI tool. Facilitates rapid and reliable execution of trades generated by AI strategies.
Automated cryptocurrency arbitrage strategy for identifying and exploiting price discrepancies across crypto markets. Arbitrage involves simultaneously buying and selling an asset on different markets to profit from temporary price differences.
I focus on stocks that are expected to show significant price movements (gaps) during the premarket, usually due to news or earnings reports. I record the highest price formed during the premarket, and if the price exceeds this level after the market opens, I go LONG. Based on my experience, it’s advisable to exit after a few percentage points of increase, as the premarket boom often corrects itself.
This strategy was developed for CRYPTO FUTURES – ETHUSDT.P. I aimed for the strategy to function in a live environment, so I focused on making its operation realistic. Modified a simple, well-known method: the crossover of two exponential moving averages (FAST, SLOW) generates the entry and exit signals.