ktiwari9/algotradingbot

This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.

Hi 👋, I'm Kshitij Tiwari, Ph.D.

Roboticist| Consultant| Mentor

• 🔭 I’m currently working on Autonomous Mobile Robot Navigation

• 🌱 I’m currently learning Wordpress (CMS), WiX, SEO Audit, Social Media Marketing

• 👯 I’m looking to collaborate on Robotics Path Planning Research

• 🤝 I’m looking for help with Algorithmic Stock Trading Bot for Beginners

• 💬 Ask me about Path Planning, SLAM, Social Media Management, Overseas education

• 📫 How to reach me https://kshitijtiwari.com/

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algotradingbot's Issues

Show profit and loss for a strategy of choice.

As this project evolves, a lot of trading strategies will be implemented and made available for public use. Towards the end of these strategies, perhaps it would be nice to show the net profit or loss that was made for the time window and asset being analyzed.

Label the lossy trade decisions

Sometimes the strategies may yield lossy propositions i.e., buy high and sell low. What could be a good way to label such lossy decisions so these can be used as performance metric when comparing various trading strategies?

Quantitative Performance Metrics

Identify and implement the quantitative performance metrics to understand how good or bad was a particular strategy other than the net loss/gain accrued.

Logo for the Github pages not rendering

Tried to define the path for the logo following this issue. Still the site icon/logo is not being rendered properly. Any suggestions/ help?

Stockmarket Dashboard throw Syntax errors in callback

Attempted to create a Jupyter notebook to showcase a Stock Market Dashboard. Currently, it throws syntax error "Unexpected EOF" for all callbacks for the Dash app. Also, the localhost refuses to connect.

new complementary tool

My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators).
All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.

The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction).
For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation.
And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.