Trading & Investment
We help you to grow with your money and savings.
We help you to grow with your money and savings.
Intraday trading involves buying and selling financial instruments within the same day, aiming to profit from short-term price movements using technical analysis and rapid decision-making..
Long-term investment focuses on holding assets for an extended period, leveraging market growth, compounding, and fundamental analysis to achieve sustained wealth accumulation.
Swing trading involves holding assets for a few days to weeks, capturing short- to medium-term price swings using technical and fundamental analysis.
Alpaca API is a commission-free trading API designed for algorithmic stock and crypto trading.
It allows developers to buy, sell, and manage assets programmatically using Python, JavaScript, and other languages.
The API provides access to real-time market data, historical price data, and paper trading (simulated trading) for testing strategies. Alpaca is widely used for automated trading bots, portfolio management, and AI-driven financial analysis.
IEX Cloud is a financial data platform that provides real-time and historical market data, stock fundamentals, and analytics via API. It is widely used by traders, fintech developers, and analysts for algorithmic trading, portfolio tracking, and market research. IEX Cloud offers reliable, low-latency data with flexible pricing, making it a popular choice for financial applications. It supports multiple asset classes, including stocks, forex, and crypto, for seamless data integration.
QuantConnect is an algorithmic trading platform that allows developers to design, backtest, and deploy automated trading strategies. It supports multiple asset classes like stocks, forex, crypto, and options, using Python and C# for strategy development. QuantConnect provides historical market data, cloud-based backtesting, and live trading integration with brokerages like Interactive Brokers and Alpaca.
It is widely used by quant traders, hedge funds, and financial researchers for AI-driven trading and portfolio optimization.
SARSA (State-Action-Reward-State-Action) is an on-policy reinforcement learning algorithm that updates Q-values based on the next state-action pair, ensuring safer learning.
TD (Temporal Difference) Learning updates value estimates before knowing the final outcome, combining ideas from Monte Carlo and Dynamic Programming for efficient decision-making.