AB Alpha Beta

AB Alpha Beta Strategy

                                              Quantum Delta Neutral Based Premium Price Strike Selection

                                              Quantum Mathematical Formulated Pre Defined Calculated  Risk

                                              Intraday Dynamic Plotted Step By Step Target Lock  System

                                              Intraday Dynamic Trailed   Step By Step    Stop Loss Lock  System

                                                                                                                                                                                                                     All the strategy developed by AB Alpha Beta  by using Calculated Risk and  Rule Based        Artificial Intelligence  Indicator Quantum Mathematical   with Arithmetic Progression Number System.

Quantum Photon Strategy 

                                          "AB Alpha Beta" likely refers to a strategy that combines concepts from both alpha and beta investing. A strategy might incorporate market-neutral elements for alpha generation while also having a beta component for overall market exposure. 

Elaboration:

• Alpha:
  Alpha in finance refers to the excess return generated by a strategy beyond what is expected based on its risk exposure (beta). It's the ability to outperform a benchmark index.

• Beta:
  Beta measures the volatility of a security or portfolio relative to the broader market. A beta of 1 means the asset moves in line with the market, a beta greater than 1 indicates higher volatility, and a beta less than 1 suggests lower volatility.

•   Combining Alpha and Beta:
  A strategy that combines both aims to generate returns not just from market movements (beta) but also from the ability to identify mispriced assets or undervalued opportunities (alpha). 

In the context of  Algoritham:

• Strategy Builder:
  Quantum Algoritham strategy builder allows users to create custom strategies with various parameters and logic. Users can implement alpha-generating techniques (e.g., identifying specific patterns or anomalies) while also defining a market exposure component (beta) based on their desired risk profile. 

• Backtesting:
  Alogoritham Previous Data  provides backtesting capabilities, allowing users to simulate their strategies with historical data and evaluate their performance under different market conditions, as detailed in Build Alpha. 

• Risk Management:
  Users can also incorporate risk management tools, such as stop-loss orders and position sizing rules, to protect their capital and control their exposure to market risk. 

Fear is the most painful trading killer.                                                               Greed is the most powerful trading killer. 

                                                                                       Trading is a business; 

                                                                                       where your Strategy is your blueprint, 

                                                                                       Discipline is your currency, and 

                                                                                       Consistency is your profit