Add fa/analysis command to analyse filings using NLP (#761)

* Add alpaca keys to cfg_terminal

* Add fa/analysis command for sec filings

* no need for alpaca keys on config_terminal

* fix eclect naming

6 files changed, 92 insertions, 0 deletions

diff --git a/gamestonk_terminal/config_terminal.py b/gamestonk_terminal/config_terminal.py
index e112bae9633..832b54718e1 100644
--- a/gamestonk_terminal/config_terminal.py
+++ b/gamestonk_terminal/config_terminal.py
@@ -91,6 +91,8 @@ API_COINBASE_KEY = os.getenv("GT_API_COINBASE_KEY") or "REPLACE_ME"
 API_COINBASE_SECRET = os.getenv("GT_API_COINBASE_SECRET") or "REPLACE_ME"
 API_COINBASE_PASS_PHRASE = os.getenv("GT_API_COINBASE_PASS_PHRASE") or "REPLACE_ME"
 
+# https://alpaca.markets/docs/api-documentation/api-v2/
+# GT_APCA_API_BASE_URL, GT_APCA_API_KEY_ID and GT_APCA_API_SECRET_KEY need to be set as env variable
 
 # https://docs.whale-alert.io/
 API_WHALE_ALERT_KEY = os.getenv("GT_API_WHALE_ALERT_KEY") or "REPLACE_ME"
diff --git a/gamestonk_terminal/stocks/fundamental_analysis/eclect_us_model.py b/gamestonk_terminal/stocks/fundamental_analysis/eclect_us_model.py
new file mode 100644
index 00000000000..f72b927a31c
--- /dev/null
+++ b/gamestonk_terminal/stocks/fundamental_analysis/eclect_us_model.py
@@ -0,0 +1,33 @@
+"""Eclect.us model"""
+__docformat__ = "numpy"
+
+import requests
+
+# pylint: disable=R1718
+
+
+def get_filings_analysis(ticker: str) -> str:
+    """Save time reading SEC filings with the help of machine learning. [Source: https://eclect.us]
+
+    Parameters
+    ----------
+    ticker: str
+        Ticker to see analysis of filings
+
+    Returns
+    -------
+    str
+        Analysis of filings text
+    """
+    result = requests.get(f"https://api.eclect.us/symbol/{ticker.lower()}?page=1")
+
+    if result.status_code == 200:
+        if result.json():
+            return "\n\n".join(
+                {
+                    sentence["sentence"]
+                    for sentence in result.json()[0]["daa_highlights"]
+                }
+            )
+
+    return ""
diff --git a/gamestonk_terminal/stocks/fundamental_analysis/eclect_us_view.py b/gamestonk_terminal/stocks/fundamental_analysis/eclect_us_view.py
new file mode 100644
index 00000000000..a67570ad920
--- /dev/null
+++ b/gamestonk_terminal/stocks/fundamental_analysis/eclect_us_view.py
@@ -0,0 +1,24 @@
+"""Eclect.us view"""
+__docformat__ = "numpy"
+
+from gamestonk_terminal.stocks.fundamental_analysis import eclect_us_model
+
+
+def display_analysis(
+    ticker: str,
+) -> None:
+    """Display analysis of SEC filings based on NLP model. [Source: https://eclect.us]
+
+    Parameters
+    ----------
+    ticker: str
+        Ticker to do SEC filings analysis from
+    """
+
+    analysis = eclect_us_model.get_filings_analysis(ticker)
+
+    if analysis:
+        print(analysis)
+    else:
+        print("No SEC filings analysis found for this ticker")
+    print("")
diff --git a/gamestonk_terminal/stocks/fundamental_analysis/fa_controller.py b/gamestonk_terminal/stocks/fundamental_analysis/fa_controller.py
index 80fdda20e70..ed58366de0b 100644
--- a/gamestonk_terminal/stocks/fundamental_analysis/fa_controller.py
+++ b/gamestonk_terminal/stocks/fundamental_analysis/fa_controller.py
@@ -11,6 +11,7 @@ from gamestonk_terminal.stocks.fundamental_analysis.financial_modeling_prep impo
     fmp_view,
 )
 from gamestonk_terminal.stocks.fundamental_analysis import (
+    eclect_us_view,
     finviz_view,
     yahoo_finance_view,
     av_view,
@@ -37,6 +38,7 @@ class FundamentalAnalysisController:
     ]
 
     CHOICES_COMMANDS = [
+        "analysis",
         "score",
         "dcf",
         "screener",
@@ -108,6 +110,7 @@ Fundamental Analysis:
 
     screener      screen info about the company [Finviz]
     mgmt          management team of the company [Business Insider]
+    analysis      analyse SEC filings with the help of machine learning [Elect.us]
     score         investing score from Warren Buffett, Joseph Piotroski and Benjamin Graham [FMP]
     warnings      company warnings according to Sean Seah book [Market Watch]
     dcf           a customizable discounted cash flow created in excel [stockanalysis]
@@ -181,6 +184,24 @@ Other Sources:
         """Process Quit command - quit the program"""
         return True
 
+    def call_analysis(self, other_args: List[str]):
+        """Process analysis command"""
+        parser = argparse.ArgumentParser(
+            add_help=False,
+            formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+            prog="analysis",
+            description="""Display analysis of SEC filings based on NLP model. [Source: https://eclect.us]""",
+        )
+        try:
+            ns_parser = parse_known_args_and_warn(parser, other_args)
+            if not ns_parser:
+                return
+
+            eclect_us_view.display_analysis(self.ticker)
+
+        except Exception as e:
+            print(e, "\n")
+
     def call_mgmt(self, other_args: List[str]):
         """Process mgmt command"""
         business_insider_view.management(other_args, self.ticker)
diff --git a/website/content/stocks/fundamental_analysis/analysis/_index.md b/website/content/stocks/fundamental_analysis/analysis/_index.md
new file mode 100755
index 00000000000..06f672a7ef5
--- /dev/null
+++ b/website/content/stocks/fundamental_analysis/analysis/_index.md
@@ -0,0 +1,10 @@
+```text
+usage: analysis [-h]
+```
+
+Display analysis of SEC filings based on NLP model. [Source: https://eclect.us]
+
+```
+optional arguments:
+  -h, --help  show this help message (default: False)
+```
diff --git a/website/data/menu/main.yml b/website/data/menu/main.yml
index 48cfdb87ea0..fcdde35e745 100755
--- a/website/data/menu/main.yml
+++ b/website/data/menu/main.yml
@@ -197,6 +197,8 @@ main:
             ref: "/stocks/fundamental_analysis/screener"
           - name: mgmt
             ref: "/stocks/fundamental_analysis/mgmt"
+          - name: analysis
+            ref: "/stocks/fundamental_analysis/analysis"
           - name: score
             ref: "/stocks/fundamental_analysis/score"
           - name: warnings