v1.28 - Volume Spread Analysis Implemented

README.md

@@ -21,34 +21,35 @@ Screenipy is totally customizable and it can screen stocks with the settings tha
 * Linux users should make sure that the `screenipy.bin` is having `execute` permission.
 * **Run** the file. Following window will appear after a brief delay.
 
-![home](https://user-images.githubusercontent.com/6128978/114149274-5c424f80-9938-11eb-9eda-4f300c0248ee.png)
+![home](https://raw.githubusercontent.com/pranjal-joshi/Screeni-py/new-features/screenshots/home.png)
 
 * **Configure** the parameters as per your requirement using `Option > 8`.
 
-![config](https://user-images.githubusercontent.com/6128978/114150376-9c560200-9939-11eb-9d46-e7bbd32d6cb1.png)
+![config](https://raw.githubusercontent.com/pranjal-joshi/Screeni-py/new-features/screenshots/config.png)
 
 * Following are the screenshots of screening and output results.
 
-![screening](https://user-images.githubusercontent.com/6128978/114150728-ff479900-9939-11eb-9f76-7b98830b0ba4.png)
-![results](https://user-images.githubusercontent.com/6128978/114150744-040c4d00-993a-11eb-8a69-a39e831761e7.png)
-![done](https://user-images.githubusercontent.com/6128978/114150766-09699780-993a-11eb-82b1-43ec77cba2fb.png)
+![screening](https://raw.githubusercontent.com/pranjal-joshi/Screeni-py/new-features/screenshots/screening.png)
+![results](https://raw.githubusercontent.com/pranjal-joshi/Screeni-py/new-features/screenshots/results.png)
+![done](https://raw.githubusercontent.com/pranjal-joshi/Screeni-py/new-features/screenshots/done.png)
 
 * Once done, you can also save the results in an excel file.
 
 ## Hack it your way:
 Feel free to Edit the parameters in the `screenipy.ini` file which will be generated by the application.
 ```
 [config]
-period = 365d
-daystolookback = 20
+period = 300d
+daystolookback = 30
 duration = 1d
-minprice = 20.0
-maxprice = 50000
+minprice = 30
+maxprice = 10000
 volumeratio = 2
 consolidationpercentage = 10
 shuffle = y
+cachestockdata = y
 onlystagetwostocks = y
-useEMA = y
+useema = n
 ```
 Try to tweak this parameters as per your trading styles. For example, If you're comfortable with weekly charts, make `duration=5d` and so on.
 

src/classes/CandlePatterns.py

@@ -11,7 +11,7 @@
 
 class CandlePatterns:
 
-    reversalPatternsBullish = ['Morning Star', 'Morning Doji Star', '3 Inside Up', 'Hammer', '3 White Soldiers', 'Bullish Engulfing', 'Dragonfly Doji']
+    reversalPatternsBullish = ['Morning Star', 'Morning Doji Star', '3 Inside Up', 'Hammer', '3 White Soldiers', 'Bullish Engulfing', 'Dragonfly Doji', 'Supply Drought', 'Demand Rise']
     reversalPatternsBearish = ['Evening Star', 'Evening Doji Star', '3 Inside Down', 'Inverted Hammer', 'Hanging Man', '3 Black Crows', 'Bearish Engulfing', 'Shooting Star', 'Gravestone Doji']
 
     def __init__(self):

src/classes/Changelog.py

@@ -7,7 +7,7 @@
 
 from classes.ColorText import colorText
 
-VERSION = "1.27"
+VERSION = "1.28"
 
 changelog = colorText.BOLD + '[ChangeLog]\n' + colorText.END + colorText.BLUE + '''
 [1.00 - Beta]
@@ -131,5 +131,8 @@
 1. Display more information about an update when it is available.
 2. Minor Fixes (MA Confluence).
 
+[1.28]
+1. Volume Spread Analysis added for Bullish Reversals. Option > 6 > 5
+
 --- END ---
 ''' + colorText.END

src/classes/ParallelProcessing.py

@@ -102,8 +102,6 @@ def screenStocks(self, executeOption, reversalOption, maLength, daysForLowestVol
             with self.screenCounter.get_lock():
                 self.screenCounter.value += 1
             if not processedData.empty:
-                # screeningDictionary['Stock'] = colorText.BOLD + \
-                #     colorText.BLUE + stock + colorText.END
                 screeningDictionary['Stock'] = colorText.BOLD + \
                      colorText.BLUE + f'\x1B]8;;https://in.tradingview.com/chart?symbol=NSE%3A{stock}\x1B\\{stock}\x1B]8;;\x1B\\' + colorText.END
                 saveDictionary['Stock'] = stock
@@ -146,6 +144,7 @@ def screenStocks(self, executeOption, reversalOption, maLength, daysForLowestVol
                     isInsideBar = screener.validateInsideBar(processedData, screeningDictionary, saveDictionary, chartPattern=respChartPattern, daysToLookback=insideBarToLookback)
 
                 isMomentum = screener.validateMomentum(processedData, screeningDictionary, saveDictionary)
+                isVSA = screener.validateVolumeSpreadAnalysis(processedData, screeningDictionary, saveDictionary)
                 if maLength is not None and executeOption == 6:
                     isMaSupport = screener.findReversalMA(fullData, screeningDictionary, saveDictionary, maLength)
 
@@ -180,6 +179,9 @@ def screenStocks(self, executeOption, reversalOption, maLength, daysForLowestVol
                         elif reversalOption == 4 and isMaSupport:
                             self.screenResultsCounter.value += 1
                             return screeningDictionary, saveDictionary
+                        elif reversalOption == 5 and isVSA and saveDictionary['Pattern'] in CandlePatterns.reversalPatternsBullish:
+                            self.screenResultsCounter.value += 1
+                            return screeningDictionary, saveDictionary
                     if executeOption == 7 and isLtpValid:
                         if respChartPattern < 3 and isInsideBar:
                             self.screenResultsCounter.value += 1

src/classes/Screener.py

@@ -306,6 +306,35 @@ def findTrend(self, data, screenDict, saveDict, daysToLookback=None,stockName=""
             saveDict['Trend'] = 'Unknown'
         return saveDict['Trend']
 
+    # Find if stock is validating volume spread analysis
+    def validateVolumeSpreadAnalysis(self, data, screenDict, saveDict):
+        try:
+            data = data.head(2)
+            try:
+                # Check for previous RED candles
+                # Current candle = 0th, Previous Candle = 1st for following logic
+                if data.iloc[1]['Open'] >= data.iloc[1]['Close']:
+                    spread1 = abs(data.iloc[1]['Open'] - data.iloc[1]['Close'])
+                    spread0 = abs(data.iloc[0]['Open'] - data.iloc[0]['Close'])
+                    lower_wick_spread0 = max(data.iloc[0]['Open'], data.iloc[0]['Close']) - data.iloc[0]['Low']
+                    vol1 = data.iloc[1]['Volume']
+                    vol0 = data.iloc[0]['Volume']
+                    if spread0 > spread1 and vol0 < vol1 and data.iloc[0]['Volume'] < data.iloc[0]['VolMA'] and data.iloc[0]['Close'] <= data.iloc[1]['Open'] and spread0 < lower_wick_spread0:
+                        screenDict['Pattern'] = colorText.BOLD + colorText.GREEN + 'Supply Drought' + colorText.END
+                        saveDict['Pattern'] = 'Supply Drought'
+                        return True
+                    if spread0 < spread1 and vol0 > vol1 and data.iloc[0]['Volume'] > data.iloc[0]['VolMA'] and data.iloc[0]['Close'] <= data.iloc[1]['Open']:
+                        screenDict['Pattern'] = colorText.BOLD + colorText.GREEN + 'Demand Rise' + colorText.END
+                        saveDict['Pattern'] = 'Demand Rise'
+                        return True
+            except IndexError:
+                pass
+            return False
+        except:
+            import traceback
+            traceback.print_exc()
+            return False
+
     # Find if stock gaining bullish momentum
     def validateMomentum(self, data, screenDict, saveDict):
         try:

src/classes/Utility.py

@@ -169,9 +169,10 @@ def promptReversalScreening():
     2 > Screen for Sell Signal (Bearish Reversal)
     3 > Screen for Momentum Gainers (Rising Bullish Momentum)
     4 > Screen for Reversal at Moving Average (Bullish Reversal)
+    5 > Screen for Volume Spread Analysis (Bullish VSA Reversal)
     0 > Cancel
 [+] Select option: """ + colorText.END))
-            if resp >= 0 and resp <= 4:
+            if resp >= 0 and resp <= 5:
                 if resp == 4:
                     try:
                         maLength = int(input(colorText.BOLD + colorText.WARN +

src/release.md

@@ -1,15 +1,15 @@
 ![MADE-IN-INDIA](https://img.shields.io/badge/MADE%20WITH%20%E2%9D%A4%20IN-INDIA-orange?style=for-the-badge) ![GitHub release (latest by date)](https://img.shields.io/github/v/release/pranjal-joshi/Screeni-py?style=for-the-badge) ![GitHub all releases](https://img.shields.io/github/downloads/pranjal-joshi/Screeni-py/total?color=Green&label=Downloads&style=for-the-badge) ![MADE_WITH](https://img.shields.io/badge/BUILT%20USING-PYTHON-yellow?style=for-the-badge&logo=python&logoColor=yellow)
 ## What's New?
-1. New **Chart Patter** Added! **MA Confluence** of 2 MA Signals for high probability trades - Try `Option > 7 > 4`
+1. **Volume Spread Analysis** Added for catching Bullish Reversals - Try `Option > 6 > 5`
+1. New **Chart Pattern** Added! **MA Confluence** of 2 MA Signals for high probability trades - Try `Option > 7 > 4`
 2. New **Chart Pattern** Added! **IPO Base Breakout** - Try `Option > 7 > 3`
 3. Now, Open TradingView chart directly by clicking on the stock symbol! :tada: (Windows users should download and run the Application through  the **Windows Terminal** from the Microsoft Store.)
 4. Now **Create Your Own Watchlist** in Excel and screen for only those stocks! Try `Option > W`
-5. Bug-Fixes and Performance Upgrades!
 
 ## Downloads
-* For :desktop_computer: **Windows** users, download **[screenipy.exe](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.27/screenipy.exe)**
-* For :penguin: **Linux** users, download **[screenipy.bin](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.27/screenipy.bin)**
-* For :apple: **MacOS** users, download **[screenipy.run](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.27/screenipy.run)** ([Read Installation Guide](https://github.com/pranjal-joshi/Screeni-py/blob/main/INSTALLATION.md#for-macos))
+* For :desktop_computer: **Windows** users, download **[screenipy.exe](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.28/screenipy.exe)**
+* For :penguin: **Linux** users, download **[screenipy.bin](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.28/screenipy.bin)**
+* For :apple: **MacOS** users, download **[screenipy.run](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.28/screenipy.run)** ([Read Installation Guide](https://github.com/pranjal-joshi/Screeni-py/blob/main/INSTALLATION.md#for-macos))
 
 ## How to use?