Add Stockgrid io source (#496)

* poetry add new mypy and merge recent main updates * add shortdata command and dark short interest data * reformat black * Update Readme * Add stockgrid dd command and update readme info * Update Roadmao
2026-11-13 04:41:24 +00:00 · 2021-06-12 13:26:58 -04:00
parent a54d15ddad
commit c0248a5b08
11 changed files with 412 additions and 32 deletions
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -43,7 +43,7 @@
 * [x] Add top ratings updates (@hinxx) - [PR #357](https://github.com/DidierRLopes/GamestonkTerminal/pull/357)
 * [x] Add dark pool (ATS) data of tickers with growing trades activity (@didier) - [PR #372](https://github.com/DidierRLopes/GamestonkTerminal/pull/372)
 * [x] Past and future IPOs calendar (@didier) - [PR #432](https://github.com/DidierRLopes/GamestonkTerminal/pull/432)
-
+* [x] Short volume and dark pool short information (stockgrid) (@jmaslek) - [PR #496](https://github.com/GamestonkTerminal/GamestonkTerminal/pull/496

 **NEXT**

@@ -93,6 +93,7 @@
 * [x] Add dark pools (ATS) vs Non-ATS data over time (@didier) - [PR #363](https://github.com/DidierRLopes/GamestonkTerminal/pull/363)
 * [x] Add failure to deliver command (@hinxx) - [PR #366](https://github.com/DidierRLopes/GamestonkTerminal/pull/366)
 * [x] Ratings over time (@didier) - [PR #431](https://github.com/DidierRLopes/GamestonkTerminal/pull/431)
+* [x] Add short volume from stockgrid (@jmaslek) - [PR #496](https://github.com/GamestonkTerminal/GamestonkTerminal/pull/496)

 **NEXT**

--- a/gamestonk_terminal/README.md
+++ b/gamestonk_terminal/README.md
@@ -103,6 +103,9 @@ Command|Description|Source
 `trending`      |trending news |[Seeking Alpha](https://seekingalpha.com/)
 `ratings`      |top ratings updates |[MarketBeat](https://marketbeat.com)
 `darkpool`      |dark pool tickers with growing activity |[FINRA](https://www.finra.org)
+`topdark`       |largest dark pool positions | [Stockgrid](https://stockgrid.io)
+`darkshort`     | dark pool short information|[Stockgrid](https://stockgrid.io)
+`shortvol`      |short interest              |[Stockgrid](https://stockgrid.io)

 &nbsp;

@@ -242,6 +245,7 @@ Command|Description|Source
 `warnings`      |company warnings according to Sean Seah book |[MarketWatch](https://www.marketwatch.com/)
 `dp`            |dark pools (ATS) vs OTC data [FINRA](https://www.finra.org/#/)
 `ftd`           |display fails-to-deliver data [SEC](https://www.sec.gov)
+`shortview`     |shows price vs short interest over last year [Stockgrid](https://stockgrid.io

 &nbsp;

@@ -469,7 +473,7 @@ Command|Website
 `sell_house`            | plot top sell house tickers
 `last_contracts`        | last government contracts
 `sum_contracts`         | plot sum of last government contracts
-with ticker provided    | 
+with ticker provided    |
 `raw_congress`          | raw congress trades on the ticker
 `congress`              | plot congress trades on the ticker
 `raw_senate`            | raw senate trades on the ticker
--- a/gamestonk_terminal/discovery/README.md
+++ b/gamestonk_terminal/discovery/README.md
@@ -42,7 +42,15 @@ This menu aims to discover new stocks, and the usage of the following commands a
  * top ratings updates [MarketBeat]
 * [darkpool](#darkpool)
  * dark pool tickers with growing activity [FINRA]
-
+  
+* [topdark](#topdark)
+  * largest dark pool positions [Stockgrid.io]
+  
+* [darkshort](#darkshort)
+  * dark pool short information [Stockgrid.io]
+  
+* [shortvol](#shortvol)
+  * short interest [Stockgrid.io]

 ## ipo <a name="ipo"></a>

@@ -297,4 +305,72 @@ Display dark pool (ATS) data of tickers with growing trades activity. [Source: F

 ![darkpool](https://user-images.githubusercontent.com/25267873/115323195-8d642080-a17f-11eb-9ef8-d456ce769ab7.png)

+# Stockgrid.io

+## topdark <a name="topdark"></a>
+
+```
+usage: topdark [-n]
+```
+Display the largest dark pool positions
+* -n : Number of tickers to display
+
+```python
+(✨) (disc)> topdark -n 4
+
+╒══════════╤═══════════════════╤═══════════════╤════════════╕
+│ Ticker   │   Position ($1B)  │   Shares (1M) │ Date       │
+╞══════════╪═══════════════════╪═══════════════╪════════════╡
+│ QQQ      │             16.83 │         51.11 │ 2021-06-10 │
+├──────────┼───────────────────┼───────────────┼────────────┤
+│ IWM      │              5.18 │         22.99 │ 2021-06-10 │
+├──────────┼───────────────────┼───────────────┼────────────┤
+│ BND      │              3.24 │         37.98 │ 2021-06-10 │
+├──────────┼───────────────────┼───────────────┼────────────┤
+│ EEM      │              3.13 │         56.95 │ 2021-06-10 │
+╘══════════╧═══════════════════╧═══════════════╧════════════╛
+```
+
+## darkshort <a name="darkshort"></a>
+
+```
+usage: darkshort [-n]
+```
+Display the largest dark pool short positions
+* -n : Number of tickers to display
+
+```
+(✨) (disc)> darkshort -n 4
+
+╒══════════╤════════════╤══════════════════╤═════════════════════╤═════════════════════╤══════════════════╕
+│ Ticker   │ Date       │   Net Short (1M) │   Net Short ($100M) │   Short Volume (1M) │   Short Volume % │
+╞══════════╪════════════╪══════════════════╪═════════════════════╪═════════════════════╪══════════════════╡
+│ QQQ      │ 2021-06-10 │             1.66 │                5.65 │                5.90 │             0.58 │
+├──────────┼────────────┼──────────────────┼─────────────────────┼─────────────────────┼──────────────────┤
+│ IWM      │ 2021-06-10 │             1.38 │                3.17 │                5.43 │             0.57 │
+├──────────┼────────────┼──────────────────┼─────────────────────┼─────────────────────┼──────────────────┤
+│ RH       │ 2021-06-10 │             0.43 │                3.03 │                1.26 │             0.60 │
+├──────────┼────────────┼──────────────────┼─────────────────────┼─────────────────────┼──────────────────┤
+│ TLT      │ 2021-06-10 │             1.70 │                2.42 │                2.25 │             0.80 │
+╘══════════╧════════════╧══════════════════╧═════════════════════╧═════════════════════╧══════════════════╛
+```
+## shortvol <a name="darkpool"></a>
+
+Display the largest short positions
+* -n : Number of tickers to display
+
+```
+(✨) (disc)> shortvol -n 4
+
+╒══════════╤════════════╤════════════════╤═════════════════╤═══════════════════════╕
+│ Ticker   │ Date       │   %Float Short │   Days To Cover │   Short Interest (1M) │
+╞══════════╪════════════╪════════════════╪═════════════════╪═══════════════════════╡
+│ AGC      │ 2021-05-28 │          42.51 │           24.75 │                 15.94 │
+├──────────┼────────────┼────────────────┼─────────────────┼───────────────────────┤
+│ PETS     │ 2021-05-28 │          32.69 │           20.05 │                  6.40 │
+├──────────┼────────────┼────────────────┼─────────────────┼───────────────────────┤
+│ BCEL     │ 2021-05-28 │          27.86 │           24.51 │                  6.23 │
+├──────────┼────────────┼────────────────┼─────────────────┼───────────────────────┤
+│ KDMN     │ 2021-05-28 │          25.54 │           35.96 │                 39.73 │
+╘══════════╧════════════╧════════════════╧═════════════════╧═══════════════════════╛
+```
--- a/gamestonk_terminal/discovery/disc_controller.py
+++ b/gamestonk_terminal/discovery/disc_controller.py
@@ -23,6 +23,7 @@ from gamestonk_terminal.discovery import (
    marketbeat_view,
    finra_ats_view,
    finnhub_view,
+    stockgrid_view,
 )


@@ -54,6 +55,9 @@ class DiscoveryController:
        "latest",
        "trending",
        "darkpool",
+        "topdark",
+        "darkshort",
+        "shortvol",
    ]

    def __init__(self):
@@ -100,6 +104,9 @@ class DiscoveryController:
        print("   trending       trending news [Seeking Alpha]")
        print("   ratings        top ratings updates [MarketBeat]")
        print("   darkpool       dark pool tickers with growing activity [FINRA]")
+        print("   topdark        largest dark pool positions [Stockgrid.io]")
+        print("   darkshort      dark pool short information [Stockgrid.io]")
+        print("   shortvol       short interest [Stockgrid.io]")
        print("")

    def switch(self, an_input: str):
@@ -220,6 +227,18 @@ class DiscoveryController:
        """Process darkpool command"""
        finra_ats_view.dark_pool(other_args)

+    def call_topdark(self, other_args: List[str]):
+        """Process topdark command"""
+        stockgrid_view.top_dark_pools(other_args)
+
+    def call_darkshort(self, other_args: List[str]):
+        """Process shortvol command"""
+        stockgrid_view.darkshort(other_args)
+
+    def call_shortvol(self, other_args: List[str]):
+        """Process shortvol command"""
+        stockgrid_view.shortvol(other_args)
+

 def menu():
    """Discovery Menu"""
--- a/gamestonk_terminal/discovery/finra_ats_view.py
+++ b/gamestonk_terminal/discovery/finra_ats_view.py
@@ -260,6 +260,5 @@ def dark_pool(other_args: List[str]):
        print("")

    except Exception as e:
-        print(e)
-        print("")
+        print(e, "\n")
        return
--- a/gamestonk_terminal/discovery/stockgrid_view.py
+++ b/gamestonk_terminal/discovery/stockgrid_view.py
@@ -0,0 +1,172 @@
+""" Stockgrid View """
+__docformat__ = "numpy"
+
+import argparse
+from typing import List
+import requests
+import pandas as pd
+from tabulate import tabulate
+from gamestonk_terminal.helper_funcs import (
+    parse_known_args_and_warn,
+)
+
+
+def top_dark_pools(other_args: List[str]):
+    """
+    Get and show the top dark pool positions
+    Parameters
+    ----------
+    other_args: List[str[
+        Argparse arguments
+
+    """
+
+    parser = argparse.ArgumentParser(
+        prog="topdark", add_help=False, description="Get top dark pool positions"
+    )
+    parser.add_argument("-n", help="Number to show", type=int, default=10, dest="num")
+    print("")
+
+    try:
+        ns_parser = parse_known_args_and_warn(parser, other_args)
+        if not ns_parser:
+            return
+
+        link1 = "https://stockgridapp.herokuapp.com/get_dark_pool_data?top=Dark+Pools+Position+$&minmax=desc"
+        response = requests.get(link1)
+        df = pd.DataFrame(response.json()["data"]).sort_values(
+            "Dark Pools Position $", ascending=False
+        )
+        df = df[["Ticker", "Dark Pools Position $", "Dark Pools Position", "Date"]]
+        df["Dark Pools Position $"] = df["Dark Pools Position $"] / (
+            1_000_000_000
+        )  # %%
+        df["Dark Pools Position"] = df["Dark Pools Position"] / 1_000_000
+
+        df.columns = ["Ticker", "Position ($1B) ", "Shares (1M)", "Date"]
+        print(
+            tabulate(
+                df.iloc[: ns_parser.num],
+                tablefmt="fancy_grid",
+                floatfmt=".2f",
+                headers=list(df.columns),
+                showindex=False,
+            )
+        )
+        print("")
+    except Exception as e:
+        print(e, "\n")
+
+
+def darkshort(other_args: List[str]):
+    """
+    Get short volume data from Dark Pools.
+    Parameters
+    ----------
+    other_args: List[str]
+        Argparse arguments
+
+    """
+    parser = argparse.ArgumentParser(
+        prog="darkshort", add_help=False, description="Get dark pool short positions"
+    )
+    parser.add_argument("-n", help="Number to show", type=int, default=10, dest="num")
+    print("")
+
+    try:
+        ns_parser = parse_known_args_and_warn(parser, other_args)
+        if not ns_parser:
+            return
+
+        link = "https://stockgridapp.herokuapp.com/get_dark_pool_data?top=Dark+Pools+Position+$&minmax=desc"
+        response = requests.get(link)
+        df = pd.DataFrame(response.json()["data"])
+
+        df = df[
+            [
+                "Ticker",
+                "Date",
+                "Net Short Volume",
+                "Net Short Volume $",
+                "Short Volume",
+                "Short Volume %",
+            ]
+        ].sort_values(by="Net Short Volume $", ascending=False)
+        df["Net Short Volume $"] = df["Net Short Volume $"] / 100_000_000
+        df["Short Volume"] = df["Short Volume"] / 1_000_000
+        df["Net Short Volume"] = df["Net Short Volume"] / 1_000_000
+        df.columns = [
+            "Ticker",
+            "Date",
+            "Net Short (1M)",
+            "Net Short ($100M)",
+            "Short Volume (1M)",
+            "Short Volume %",
+        ]
+        print(
+            tabulate(
+                df.iloc[: ns_parser.num],
+                tablefmt="fancy_grid",
+                floatfmt=".2f",
+                headers=list(df.columns),
+                showindex=False,
+            )
+        )
+
+        print("")
+    except Exception as e:
+        print(e, "\n")
+
+
+def shortvol(other_args: List[str]):
+    """
+    Get and show short volume from stockgrid.io
+    Parameters
+    ----------
+    other_args: List[str]
+        Argparse arguments
+    """
+    parser = argparse.ArgumentParser(
+        prog="shortvol",
+        add_help=False,
+        description="Scrape stockgrid.io for short volume data",
+    )
+    parser.add_argument("-n", help="Number to show", type=int, default=10, dest="num")
+    print("")
+
+    try:
+        ns_parser = parse_known_args_and_warn(parser, other_args)
+        if not ns_parser:
+            return
+
+        link = "https://stockgridapp.herokuapp.com/get_short_interest?top=days"
+        r = requests.get(link)
+        df = pd.DataFrame(r.json()["data"])
+        df.head()
+
+        # %%
+        df = df[
+            ["Ticker", "Date", "%Float Short", "Days To Cover", "Short Interest"]
+        ].sort_values(by="%Float Short", ascending=False)
+        df["Short Interest"] = df["Short Interest"] / 1_000_000
+        df.head()
+        df.columns = [
+            "Ticker",
+            "Date",
+            "%Float Short",
+            "Days To Cover",
+            "Short Interest (1M)",
+        ]
+
+        print(
+            tabulate(
+                df.iloc[: ns_parser.num],
+                tablefmt="fancy_grid",
+                floatfmt=".2f",
+                headers=list(df.columns),
+                showindex=False,
+            )
+        )
+
+    except Exception as e:
+        print(e, "\n")
--- a/gamestonk_terminal/due_diligence/README.md
+++ b/gamestonk_terminal/due_diligence/README.md
@@ -30,6 +30,8 @@ This menu aims to help in due-diligence of a pre-loaded stock, and the usage of
  * dark pools (ATS) vs OTC data [FINRA]
 * [ftd](#ftd)
  * fails-to-deliver data [SEC]
+* [shortview](#shortview)
+  * shows price vs short interest over last year [Stockgrid.io]

 ## news <a name="news"></a>

@@ -198,3 +200,8 @@ The fails-to-deliver data collected by SEC. Fails to deliver on a given day are

 ![ftd](https://user-images.githubusercontent.com/25267873/115201750-93a9bc80-a0ed-11eb-8f13-68508749259e.png)

+## shortview <a name="shortview"></a>
+```text
+usage: shortview
+```
+Plots price and short volume over the past year.
--- a/gamestonk_terminal/due_diligence/dd_controller.py
+++ b/gamestonk_terminal/due_diligence/dd_controller.py
@@ -15,6 +15,7 @@ from gamestonk_terminal.due_diligence import reddit_view as r_view
 from gamestonk_terminal.due_diligence import news_view
 from gamestonk_terminal.due_diligence import finra_view
 from gamestonk_terminal.due_diligence import sec_view
+from gamestonk_terminal.due_diligence import stockgrid_dd_view as sg_view
 from gamestonk_terminal.due_diligence import finnhub_view
 from gamestonk_terminal import feature_flags as gtff
 from gamestonk_terminal.helper_funcs import get_flair
@@ -43,6 +44,7 @@ class DueDiligenceController:
        "sec",
        "dp",
        "ftd",
+        "shortview",
    ]

    def __init__(self, stock: DataFrame, ticker: str, start: str, interval: str):
@@ -108,6 +110,9 @@ class DueDiligenceController:
        )
        print("   dp            dark pools (ATS) vs OTC data [FINRA]")
        print("   ftd           fails-to-deliver data [SEC]")
+        print(
+            "   shortview     shows price vs short interest over last year [Stockgrid.io]"
+        )
        print("")

    def switch(self, an_input: str):
@@ -198,6 +203,9 @@ class DueDiligenceController:
        """Process ftd command"""
        sec_view.fails_to_deliver(other_args, self.ticker)

+    def call_shortview(self, other_args: List[str]):
+        sg_view.shortview(self.ticker, other_args)
+

 def menu(stock: DataFrame, ticker: str, start: str, interval: str):
    """Due Diligence Menu
--- a/gamestonk_terminal/due_diligence/stockgrid_dd_view.py
+++ b/gamestonk_terminal/due_diligence/stockgrid_dd_view.py
@@ -0,0 +1,90 @@
+"""Stockgrid DD View"""
+__docformat__ = "numpy"
+
+import argparse
+from typing import List
+from datetime import timedelta
+import requests
+import pandas as pd
+import matplotlib.pyplot as plt
+from gamestonk_terminal.config_plot import PLOT_DPI
+from gamestonk_terminal.feature_flags import USE_ION
+from gamestonk_terminal.helper_funcs import parse_known_args_and_warn, plot_autoscale
+
+
+def shortview(ticker: str, other_args: List[str]):
+    """
+    Plot price vs short volume over last year
+    Parameters
+    ----------
+    ticker: str
+        Stock to plot for
+    other_args : List[str]
+        Argparse arguments
+
+    """
+
+    parser = argparse.ArgumentParser(
+        prog="shortview", add_help=False, description="Shows price vs short interest"
+    )
+
+    try:
+        ns_parser = parse_known_args_and_warn(parser, other_args)
+        if not ns_parser:
+            return
+        link = f"https://stockgridapp.herokuapp.com/get_dark_pool_individual_data?ticker={ticker}"
+        response = requests.get(link)
+        response.json().keys()
+        df1 = pd.DataFrame(response.json()["individual_dark_pool_position_data"])
+        df2 = pd.DataFrame(response.json()["individual_short_volume"])
+        prices = response.json()["prices"]["prices"]
+
+        dates = pd.to_datetime(df1.dates)
+
+        fig = plt.figure(figsize=(plot_autoscale()), dpi=PLOT_DPI)
+
+        ax = fig.add_subplot(111)
+
+        ax.bar(
+            dates,
+            df2["total_volume"],
+            width=timedelta(days=1),
+            color="b",
+            alpha=0.4,
+            label="Total Volume",
+        )
+        ax.bar(
+            dates,
+            df2["short_volume"],
+            width=timedelta(days=1),
+            color="r",
+            alpha=0.4,
+            label="Short Volume",
+        )
+
+        ax.set_ylabel("Volume")
+        ax2 = ax.twinx()
+
+        ax2.plot(dates, prices, c="k", label="Price")
+        ax2.set_ylabel("Price ($)")
+
+        lines, labels = ax.get_legend_handles_labels()
+        lines2, labels2 = ax2.get_legend_handles_labels()
+        ax2.legend(lines + lines2, labels + labels2, loc="upper left")
+
+        ax.set_xlim(dates[0], dates[251])
+
+        ax.grid(b=True, which="major", color="#666666", linestyle="-")
+        ax.minorticks_on()
+        ax.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
+
+        plt.suptitle(f"Price vs Short Volume for {ticker}")
+        plt.gcf().autofmt_xdate()
+        if USE_ION:
+            plt.ion()
+
+        plt.show()
+        print("")
+
+    except Exception as e:
+        print(e, "\n")
--- a/poetry.lock
+++ b/poetry.lock
@@ -1180,19 +1180,21 @@ python-versions = "*"

 [[package]]
 name = "mypy"
-version = "0.812"
+version = "0.901"
 description = "Optional static typing for Python"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.5"

 [package.dependencies]
 mypy-extensions = ">=0.4.3,<0.5.0"
-typed-ast = ">=1.4.0,<1.5.0"
+toml = "*"
+typed-ast = {version = ">=1.4.0,<1.5.0", markers = "python_version < \"3.8\""}
 typing-extensions = ">=3.7.4"

 [package.extras]
 dmypy = ["psutil (>=4.0)"]
+python2 = ["typed-ast (>=1.4.0,<1.5.0)"]

 [[package]]
 name = "mypy-extensions"
@@ -2709,7 +2711,7 @@ prediction = ["tensorflow", "pmdarima"]
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.6.8"
-content-hash = "9510676944e6f58159239de8fc33956258c521b1cb58ad43be3ef57763633987"
+content-hash = "597c430e8a6c3bb6f5531acfdadfb9036ff0d3b7a91662e01638d14581dfb31c"

 [metadata.files]
 absl-py = [
@@ -3548,28 +3550,29 @@ multitasking = [
    {file = "multitasking-0.0.9.tar.gz", hash = "sha256:b59d99f709d2e17d60ccaa2be09771b6e9ed9391c63f083c0701e724f624d2e0"},
 ]
 mypy = [
-    {file = "mypy-0.812-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:a26f8ec704e5a7423c8824d425086705e381b4f1dfdef6e3a1edab7ba174ec49"},
-    {file = "mypy-0.812-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:28fb5479c494b1bab244620685e2eb3c3f988d71fd5d64cc753195e8ed53df7c"},
-    {file = "mypy-0.812-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:9743c91088d396c1a5a3c9978354b61b0382b4e3c440ce83cf77994a43e8c521"},
-    {file = "mypy-0.812-cp35-cp35m-win_amd64.whl", hash = "sha256:d7da2e1d5f558c37d6e8c1246f1aec1e7349e4913d8fb3cb289a35de573fe2eb"},
-    {file = "mypy-0.812-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:4eec37370483331d13514c3f55f446fc5248d6373e7029a29ecb7b7494851e7a"},
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 mypy-extensions = [
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--- a/pyproject.toml
+++ b/pyproject.toml
@@ -71,13 +71,14 @@ tensorflow = {version = "2.5.0", optional = true}
 jupyter-client = "6.1.12"
 vaderSentiment = "3.3.2"
 degiro-connector = "1.0.0"
+mypy = "^0.901"

 [tool.poetry.dev-dependencies]
 pytest = "^6.2.2"
 pylint = "^2.7.2"
 flake8 = "^3.9.0"
 black = "21.5b2"
-mypy = "^0.812"
+mypy = "^0.901"
 mock = "^4.0.3"
 codespell = "^2.0.0"
 pyupgrade = "^2.11.0"