diff --git a/README.md b/README.md
index d927316..3110acd 100644
--- a/README.md
+++ b/README.md
@@ -38,5 +38,141 @@ The following technical indicators are supported:
 - Volume Weighted Average Price (VWAP)
 - Williams %R (WR)
 
+## Install
+
+Add the following line to Gemfile:
+
+```ruby
+gem 'technical-analysis'
+```
+
+and run `bundle install` from your shell.
+
+To install the gem manually from your shell, run:
+
+```shell
+gem install technical-analysis
+```
+
+## Usage
+First, for the sake of these code samples, we'll load some test data from `spec/ta_test_data.csv`. This is the same data used for the unit tests. The data will be an `Array` of `Hashes`.
+
+```ruby
+input_data = SpecHelper.get_test_data(:close)
+# [
+#   { date_time: "2019-01-09T00:00:00.000Z", close: 153.3100 },
+#   { date_time: "2019-01-08T00:00:00.000Z", close: 150.7500 },
+#   ...
+#   { date_time: "2018-10-09T00:00:00.000Z", close: 226.8700 }
+# ]
+```
+
+Each technical indicator has the following methods:
+- `calculate` - Each technical indicator returns an Array of values. These values are instances of a class specific to each indicator. It's typically in the format of SymbolValue. For example, Simple Moving Average (SMA) returns an Array of `SmaValue` instances. These classes contain the appropriate data fields for each technical indicator.
+- `indicator_symbol` returns the symbol of the technical indicator as a String.
+- `indicator_name` returns the name of the technical indicator as a String.
+- `valid_options` returns an Array of keys (as Symbols) for valid options that the technical indicator accepts in its `calculate` method.
+- `validate_options` returns true if the options provided are valid or raises a `ValidationError`.
+- `min_data_size` returns the minimum number of observations needed (as an Integer) to calculate the technical indicator based on the options provided.
+
+### Class-Based Usage
+You can call methods on the class of the specific technical indicator that you want to calculate. To calculate a Simple Moving Average, for example, you would just call `calculate` on the Simple Moving Average class like so:
+
+```ruby
+input_data = SpecHelper.get_test_data(:close)
+
+TechnicalAnalysis::Sma.calculate(input_data, period: 30, price_key: :close)
+```
+
+Here are examples of other methods for technical indicators:
+
+```ruby
+TechnicalAnalysis::Sma.indicator_symbol
+# "sma"
+
+TechnicalAnalysis::Sma.indicator_name
+# "Simple Moving Average"
+
+TechnicalAnalysis::Sma.valid_options
+# [:period, :price_key]
+
+options = { period: 30, price_key: :close }
+TechnicalAnalysis::Sma.validate_options(options)
+# true
+
+options = { period: 30, price_key: :close }
+TechnicalAnalysis::Sma.min_data_size(options)
+# 30
+```
+
+### Generic Usage
+You can also use the generic indicator class. The purpose of this class is to be a sort of master class that will find and call the correct indicator based on the params provided to it.
+
+The `calculate` method on the `Indicator` class accepts:
+- The indicator symbol as a String - `"sma"`
+- The data to be used for calculations as an Array of Hashes - `input_data`
+- The calculation to be performed as a Symbol - `:technicals`
+- The options for the indicator as a Hash - `options`
+
+```ruby
+input_data = SpecHelper.get_test_data(:close)
+options = { period: 30, price_key: :close }
+
+TechnicalAnalysis::Indicator.calculate('sma', input_data, :technicals, options)
+```
+
+Here's each example again using the generic indicator class:
+
+```ruby
+input_data = SpecHelper.get_test_data(:close)
+
+TechnicalAnalysis::Indicator.calculate('sma', input_data, :indicator_symbol)
+# "sma"
+
+TechnicalAnalysis::Indicator.calculate('sma', input_data, :indicator_name)
+# "Simple Moving Average"
+
+TechnicalAnalysis::Indicator.calculate('sma', input_data, :valid_options)
+# [:period, :price_key]
+
+options = { period: 30, price_key: :close }
+TechnicalAnalysis::Indicator.calculate('sma', input_data, :validate_options, options)
+# true
+
+options = { period: 30, price_key: :close }
+TechnicalAnalysis::Indicator.calculate('sma', input_data, :min_data_size, options)
+# 30
+```
+
+Or you can use it to find the correct technical indicator class based on indicator symbol:
+
+```ruby
+simple_moving_average = TechnicalAnalysis::Indicator.find("sma")
+# TechnicalAnalysis::Sma
+
+input_data = SpecHelper.get_test_data(:close)
+simple_moving_average.calculate(input_data, period: 30, price_key: :close)
+
+simple_moving_average.indicator_symbol
+# "sma"
+
+simple_moving_average.indicator_name
+# "Simple Moving Average"
+
+simple_moving_average.valid_options
+# [:period, :price_key]
+
+options = { period: 30, price_key: :close }
+simple_moving_average.validate_options(options)
+# true
+
+options = { period: 30, price_key: :close }
+simple_moving_average.min_data_size(options)
+# 30
+```
+
+## Further documentation
+This gem is also documented using [Yard](https://yardoc.org/). You can view the [guides](https://yardoc.org/guides/index.html) to help get you started.
+
 ## Run Tests
 `rspec spec`