Maximize Your Trading Potential with Our Stock Trading Tracker and Alert Tool on Telegram

Are you a stock trader looking to learn and earn? Look no further than NSE Trading Alerts, the ultimate resource for trading setups and ideas.

Our comprehensive spreadsheet provides you with all the technical aspects you need to know, including which scrip to buy and at what price. We even update it frequently during market hours to identify good setups and publish them in real-time.

But we know you're busy, and checking the spreadsheet periodically might not be feasible. That's why we've created a telegram channel where you can get trading setups and ideas directly in the channel – no need to leave the app.

Plus, we've added new functionality with alerts that notify you when a scrip's CMP is near the trigger price, making it easier to identify the right trade. And the best part? The channel is completely free to use.

My new project is for Stock Traders who want to study and earn. 

So I’ve created a spreadsheet with trading setup’s where you can see which scrip to buy at what price. This will be a bit educational also as it will explain the technical aspects also.

And here is the link if you want to take a look:

https://docs.google.com/spreadsheets/d/1Pi3bViTDWwgxEjK44hiWJCrhOFT2yR_T-RQ08bm16UM/edit#gid=0

The sheet will update frequently during market hours to identify good setups and publish it in the spreadsheet with its trigger price. I’m not publishing SL or Target you can set your own Target and SL based on your convenience. There is also a MaxMove column to watch out for to see how much the scrip went after triggering.

The next thing that came to my mind is that somebody might need to look at the sheet periodically to enter a good setup and this might not be useable for someone who is busy or not an intraday trader.

the answer is telegram channel…

So I’ve created a new channel in telegram @nsetradingalerts

Once you joined the channel, you will get trading setups and ideas in the channel itself, no need to go and check the spreadsheet.

Here are a couple of screenshots of how the channel looks like:

Now comes the main issue, there will be a lot of ideas and possible setups in the channel and it will be difficult to identify a good one during a trade.

So I’ve added new functionality – Alerts

Now the channel will notify you if its CMP is near the trigger price (not at the trigger price as you may miss the entry) and it will send an alert to the channel which will be much easier to identify the right trade.

Here is a screenshot:

The channel is free to use, those who are interested can join at https://t.me/s/nsetradingalerts

Disclaimer: This is for educational purposes only, I’m not a SEBI registered analyst. Take advice from your financial experts before jumping into any trade. 

Join our telegram channel @nsetradingalerts today and start your journey towards successful trading.

Travancore Photos Old vs Restored

I’m trying to restore the old Travancore photos in color format using deep learning AI methods.

Most of these original photos are taken from “Album of South Indian Views” from the Curzon Collection taken by Govt. Photographer Zacharias D’Cruz during 1900’s others are from various websites I found.

So here are those…

Photograph of the gopura of the Padmanabha Temple at Trivandrum during 1890s. This ancient Hindu temple is one of the greatest of Kerala and was patronized mainly in the 18th century by the Travancore kings. The sanctuary, which enshrines a large image of Vishnu, is built in the typical Kerala style while the surrounding walls and towers are similar to those of the Dravidian architecture of Tamil Nadu. The imposing gopura or entrance gateway consists of ascending storeys ending with a vaulted roof and reflect the contemporary Nayaka style of architecture.

Maharaja’s State Carriage in Trivandrum. It was drawn by a team of six horses. In the background can be seen the gopuram of the Padmanabha Swamy temple.

A rare image from 1900’s of the richest temple in India, Padmanabhaswamy Temple.

This will be a live page, more photos will be added in the coming days.

Reviving History: Sree Padmanabha Swamy Temple During 1895 Comes to Life in HD Color with Deep Learning Technology

One of the most amazing things about artificial intelligence is its ability to learn and improve through experience. This is especially true for deep learning, a subset of AI that uses neural networks to analyze and learn from data. Colorization and enhancement of images and videos is one area where deep learning has made significant strides, and it's all thanks to the power of AI.

Colorization involves adding color to grayscale images or videos, while enhancement refers to improving the overall quality of an image or video, such as sharpening or denoising. These tasks were traditionally done manually, requiring a lot of time and effort from professionals. But with the advent of deep learning, these tasks can now be done quickly and accurately.

One of the most popular methods for colorization and enhancement is using deep neural networks, which are trained on large datasets of images and videos. The neural networks learn to recognize patterns and relationships between the grayscale and color or degraded and enhanced versions of the same image. Once the neural network has been trained, it can be used to apply color or enhancement to new images or videos.

Another technique used for colorization is to use reference images, where a neural network is trained to learn the color distribution of similar images. This allows the neural network to predict the colors of the pixels in a grayscale image more accurately.

Deep learning has also made it possible to enhance images and videos in real-time, which is useful for applications such as video conferencing or live streaming. This involves using deep neural networks to remove noise, blur, or other imperfections from an image or video in real-time, producing a clearer and more visually pleasing result.

One of the benefits of using deep learning for colorization and enhancement is that it can be done automatically and at scale. This means that large amounts of images and videos can be colorized or enhanced quickly and with a high degree of accuracy. This also saves professionals a significant amount of time and effort, allowing them to focus on other tasks.

However, there are also some limitations to this technology. For example, if the neural network has not been trained on a specific object or scene, it may not be able to accurately colorize or enhance it. Additionally, the colorization or enhancement process may introduce artifacts or errors into the image or video.

Despite these challenges, deep learning AI has revolutionized the way we approach colorization and enhancement of images and videos. It has made it easier and more accessible for professionals to produce high-quality images and videos, while also offering new possibilities for real-time applications. As deep learning technology continues to improve, we can expect to see even more exciting developments in this area.

Colorization and enhancing is done by deep learning AI.

Original

After colorization

Source Credits:

Photograph of the gopura of the Sree Padmanabha Swamy Temple at Trivandrum, taken by Zachariah D’Cruz in the 1890s from the ‘Album of South Indian Views’ of the Curzon Collection.

Reliving History: Nehru's 1958 Visit to Thiruvananthapuram in Stunning 4K Color Restoration with Deep Learning AI

This is my first attempt of video restoration with deep learning AI models.

Color restoration using deep learning AI is an exciting and innovative technology that can bring old black and white photographs and videos to life. By using artificial intelligence algorithms, it is possible to add color to historic images and videos with incredible accuracy and detail, providing a new and captivating way to relive the past.

One fascinating example of the power of deep learning AI color restoration is the restoration of old footage of Jawaharlal Nehru's visit to Thiruvananthapuram in 1958. The original footage was in black and white, but with the help of deep learning AI, it has been colorized to stunning effect, providing a vivid and immersive experience of this historic event.

The process of color restoration using deep learning AI involves training a neural network on a vast dataset of images and videos to recognize and replicate the colors that would have been present in the original scene. This involves teaching the network to recognize patterns and textures, as well as to understand the relationships between different colors in the image.

Once the neural network has been trained, it can be used to colorize new images and videos with remarkable accuracy. The technology can be used to add color to everything from historic photographs and film footage to more recent digital media, providing a new and engaging way to experience the past.

Color restoration using deep learning AI is not without its challenges, however. The technology requires access to high-quality source material, as well as careful calibration to ensure that the colors are accurately replicated. It also requires significant computational resources to process large datasets and produce high-quality results.

Despite these challenges, the potential benefits of color restoration using deep learning AI are enormous. By bringing historic images and videos to life in full color, this technology offers a new and immersive way to experience the past, enabling us to connect with history in a more immediate and engaging way than ever before.

Processing done

• Denoising/Deinterlacing/Restoration with fewer motion artifacts and video detail recovery using AI Enhanced models.
• Colorization using deep learning AI models.
• 4K 60fps conversion.

Input: 640×360/672×504 @ 25fps in B/W

Output: 3140×2160 @ 60fps in Color

You can view original source videos from here:

And

https://www.britishpathe.com/video/VLVACT3MUL8FNYRS3E8VQLKBB3S89-INDIA-NEHRU-VISITS-KERALA/query/VISIT

Behind the video,
For the first time since the Communist assumption of power in the state of Kerala, India, the Prime Minister of India, Mr. Jawaharlal Nehru has paid an official state visit.

His first point of call was at Trivandrum, the capital where he was met by the Governor of the State, Mr Ramakrishna Rao (wearing the cap) and the Communist Chief Minister Mr. E.M.S. Nambudripad. The Governor garlanded Mr. Nehru as he stepped down from the plane, and shook hands. Then flowers and Arti (candle lights) were offered in Kerala traditional, fashion, and 68 pigeons were released to follow the one Mr. Nehru released, the whole to symbolize Mr. Nehru’s 69 years of peaceful life.

On the way into the town shouting crowds lined the route ‘Nehru Zindabad’ they called – Long Live Nehru – Later Mr. Nehru inaugurated the Mahatma Gandhi College in Trivandrum.

Here is the final rendering,

DIY Custom Ambient Light for Your PC: Create a Stunning Visual Experience on a Budget with Arduino and RGB LED Strip

If you are a PC enthusiast, you know the value of customizing your setup to suit your style and preferences. One great way to do this is by adding ambient lighting to your PC setup. This can create a more immersive and dynamic visual experience, adding depth and dimension to your gaming, movies, or work. In this blog, we will explore how to create a cheap custom ambient light for your PC using Arduino, RGB LED Strip, and a LED frame.

The ambilight that I’ve built is completely DIY and uses RGB LEDs with integrated controllers and an Arduino. Lights will change based on what you have in your screen.

Materials:

• Arduino Nano
• WS2812B RGB LED Strip
• LED Frame
• Jumper wires
• USB cable
• Soldering iron
• Solder wire
• Heat shrink tube
• Power supply

Steps:

1. Assemble the LED frame by following the manufacturer's instructions. Ensure that the frame is large enough to fit behind your monitor and that it is securely mounted.
2. Cut the RGB LED strip to the length of the LED frame. Make sure to cut it at the designated cutting points on the strip.
3. Connect the power supply to the LED strip. The power supply should be rated to match the voltage and current requirements of the LED strip.
4. Solder jumper wires to the LED strip's data input and ground. Connect these wires to the Arduino Nano's digital pin 6 and ground pin, respectively.
5. Connect the Arduino Nano to your computer using a USB cable.
6. Install the FastLED library in your Arduino IDE. This library allows you to control the LED strip using Arduino code.
7. Write the code for your custom ambient light. The code should use the FastLED library to control the color and brightness of the LED strip. You can customize the code to suit your preferences and style.
8. Upload the code to the Arduino Nano.
9. Test the LED strip to ensure that it is working correctly.
10. Insert the LED strip into the LED frame, making sure that each LED lines up with the corresponding slot in the frame.
11. Connect the power supply to the Arduino Nano and turn on your PC. The LED strip should light up, displaying the colors and patterns you programmed in the code.

Creating a custom ambient light for your PC is an excellent way to add some personality and style to your setup. With a little bit of DIY know-how and some inexpensive materials, you can create a custom ambient light that is tailored to your preferences and style. So why not give it a try and see how it can transform your PC experience!

This setup is very cheap but only works on a PC. You cannot use this for your Blu-ray player or standalone TV. This could work on an Android TV but not tested.

Below is the final working version,

And here are some pics of the completed product,

Cost of Components

• Arduino (Nano is preferred Cost: INR 300/)
• RGB LED Strip (Cost: INR 350/-)
• LED 5V Power Adapter (Cost: INR 250/-)
• Frame for setting up the LED Strip (Cost: INR 200/-)