Search space minimization for computerized time-series data forecasting system

1. A method comprising:

receiving, using at least one processor, at least one user input for a zoned graph request including an option identifier from a user device;

determining, using the at least one processor, a current breakeven point on a current date based on a strike price of an option corresponding to the option identifier;

estimating, using the at least one processor, a future value of the option corresponding to the option identifier based on an expiration date of the option;

determining, using the at least one processor, a future breakeven point on the expiration date of the option based on the estimated future value;

determining, using the at least one processor, a range as a current price corresponding to the current breakeven point to a future price corresponding to the future breakeven point;

for each time of a set of times between the current date and the expiration date, determining, using the at least one processor, a middle breakeven point at the corresponding time based on the range;

generating, using the at least one processor, a zoned graph including the current breakeven point, the future breakeven point, and each middle breakeven point between the current breakeven point and the future breakeven point at the corresponding times;

selecting, using the at least one processor, a price equal to one price interval above the current price corresponding to the current breakeven point;

determining, using the at least one processor, a breakdown value of the selected price as a projected price of the option at the selected price less a cost associated with the option;

shading, using the at least one processor, an upper portion of the zoned graph as a profit in response to the breakdown value being above zero;

updating, using the at least one processor, the zoned graph in real-time based on a current price of a stock corresponding to the option identifier, and

wherein determining each breakeven point includes,

calculating a projected value of the option using a Black-Scholes pricing model; and

identifying each breakeven point as between the strike price and a second price using a Newton-Raphson point finding algorithm, wherein the second price is identified using the calculated projected value.

2. The method of claim 1 further comprising:

shading, using the at least one processor, the upper portion of the zoned graph as a loss in response to the breakdown value being below zero.

3. The method of claim 1 wherein determining the current breakeven point on the current date based on the strike price of the option corresponding to the option identifier includes:

determining a first projected value of the option at a price higher than the strike price,

calculating a difference between the first projected value and a cost associated with the option, and

in response to the difference being greater than zero, performing a point finding algorithm between the strike price and the price higher than the strike price to identify the current breakeven point.

4. The method of claim 1 wherein determining the current breakeven point on the current date based on the strike price of the option corresponding to the option identifier includes:

determining a first projected value of the option at a price lower than the strike price,

calculating a difference between the first projected value and a cost associated with the option, and

in response to the difference being less than zero, performing a point finding algorithm between the strike price and the price lower than the strike price to identify the current breakeven point.

5. The method of claim 1 wherein, for each time of the set of times between the current date and the expiration date, determining the middle breakeven point at the corresponding time based on the range includes:

after determining the middle breakeven point, reducing the range to a middle price associated with the middle breakeven point and the future price.

6. The method of claim 1 wherein each breakeven point includes a corresponding price and a corresponding time.

7. The method of claim 1 further comprising:

storing, using the at least one processor, a stock and option parameter database in memory, the stock and option parameter database including a plurality of options, wherein each option of the plurality of options includes a corresponding stock symbol, a value, and an expiration date.

8. The method of claim 7 further comprising:

obtaining, using the at least one processor, option data corresponding to the option from the stock and option parameter database to determine breakeven points.