Jignesh Patel @JigneshTrade Twitter profile

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Jignesh Patel

@JigneshTrade

3 years

List of #AlgoTrading platforms: 1. 2. 3. 4. 5. 6. 7. 8.

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Jignesh Patel

@JigneshTrade

3 years

We use this #python formula to calculate #Nifty and #Banknifty option premiums in our risk calculations. In this financial quarter, we have given 20 % rerun to our #intraday algo users (screenshot on 25L capital) at risk that can be managed with estimated theta decay.

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Jignesh Patel

@JigneshTrade

5 years

python script to download stock prices from #zerodha and save to #influxdb To start #indluxdb , 1. download 2. extract zip file 3. run influxd.exe

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Jignesh Patel

@JigneshTrade

3 years

I use only following basic python libraries for my trading model backtest. 1. numpy 2. pandas 3. streamlit 4. altair

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Jignesh Patel

@JigneshTrade

3 years

Run my backtest simulation on most famous 9.20 straddle on #banknifty options. Used #python and 1 min closing price.

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Jignesh Patel

@JigneshTrade

4 years

@jitendrajain , one sample zerodha algo for banknifty options buying based on rsi and vwap is given at this link. anyone can use it freely for learning or actual trading.

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Jignesh Patel

@JigneshTrade

3 years

These are intraday chart of Banknifty for Dec'21.

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Jignesh Patel

@JigneshTrade

5 years

I have learned #python from this #YouTube channel for #trading and #ArtificialIntelligence #algorithmes Development.

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Jignesh Patel

@JigneshTrade

5 years

This script will scan 50 stock and place "BUY" order in #Zerodha when #supertrend buy signal is generated. you can vary, 1. Risk per trade 2. target 3. stoploss 3. supertrend parameter 4. stocks to trade

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Jignesh Patel

@JigneshTrade

2 years

Keeping only required things in GUI for #algotrading in #OptionsTrading . Developed using #python and #streamlit .

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Jignesh Patel

@JigneshTrade

3 years

Working on new ideas, Scanning chart manually first, before processing in machine learning model.

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Jignesh Patel

@JigneshTrade

4 years

Getting many DM on how to learn algo trading. The first step is to learn python programming. It's very easy to learn and gives power to combine calculation and executions. The best source to learn python is given in the link

Python Tutorial for Beginners 1: Install and Setup for Mac and Windows

In this Python Beginner Tutorial, we will start with the basics of how to install and setup Python for Mac and Windows. We will also take a look at the inter...

www.youtube.com

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Jignesh Patel

@JigneshTrade

4 years

Will answer all your queries related to #Algorithms #trading in #nifty50 #banknifty #optiontrading in this thread.

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Jignesh Patel

@JigneshTrade

3 years

Reward to risk ratio and win probability is highest when reference level has false break.

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Jignesh Patel

@JigneshTrade

3 years

Winning streak continues....

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Jignesh Patel

@JigneshTrade

2 years

Successful businessman don't do everything by themselves, but hire professional in field any pay them well (not just 15-25K onetime), Success depends on their skill to identify and differentiate between genuine(+in top 1%) and fraud people. Only #expiry #algo can beat FD rerun

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Jignesh Patel

@JigneshTrade

3 years

Tick data of banknifty on 23-07-2021. It takes just 5 sec for almost 300 point fall.

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Jignesh Patel

@JigneshTrade

3 years

Got call from broker RMS team to stop my system because higher number of orders are loading their servers.

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Jignesh Patel

@JigneshTrade

5 years

This #python code is simplest example of how to #automate trade in #nifty #future in #zerodha In 100 lines, it 1. Get instrument token of near month nifty future 2. define function to generate signal 3. download data, evaluate logic and place order

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Jignesh Patel

@JigneshTrade

4 years

This #algorithm #trades only based on price % change. #Visualizing decisions made by #algo . #Python #MachineLearning #zerodha

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Jignesh Patel

@JigneshTrade

3 years

it took 1 hr to find how to make 9:20 straddle profitable in banknifty, i just changed strike selection and exit rule. 1 trade on CE and 1 on PE sell with 50 quantity. 1 year backtest results in banknifty, without cost.

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Jignesh Patel

@JigneshTrade

3 years

Working on ideas to avoid getting trapped by freak trade.

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Jignesh Patel

@JigneshTrade

4 years

To make consistent money from market, its not necessary that you should have good trading skill, you can achieve it if you have skill to judge the good algo service. Given 14 % return in Feb 2021, irrespective of fund size.

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Jignesh Patel

@JigneshTrade

2 years

30-40% yearly return from option trading, on bigger fund, is realistic, rationale, achievable and sufficient to create wealth.

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Jignesh Patel

@JigneshTrade

5 years

Will start sharing python codes for algorithmic trading. #NIFTY #python #zerodha #algotrader #tradingstrategy #trading #quant @QuantInsti @TradingTuitions @indiaquantrader #algotrade

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Jignesh Patel

@JigneshTrade

3 years

This code generates monthwise chart you need data and basic python skill to use it.

Jignesh Patel

@JigneshTrade

3 years

These are intraday chart of Banknifty for Dec'21.

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Jignesh Patel

@JigneshTrade

3 years

I use this python code to automate zerodha account positions page screenshot copy to disc and send to telegram in window pc.

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Jignesh Patel

@JigneshTrade

4 years

#UserInput and #Options in my #4in1 #zerodha #Algorithm . 1. #banknifty #WeeklyOptions #straddle 2. #banknifty #WeeklyOptions #strangle 3. #nifty #WeeklyOptions #straddle 4. #nifty #WeeklyOptions #strangle

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Jignesh Patel

@JigneshTrade

3 years

When testing code in live market, generally I have loss of about 1 to 2k. Today I was testing code to have better slicing of orders with quantity above 2000 in bank nifty, code has glitch,which misfire in live order, but I got benefitted. Sometimes luck also works in market.

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Jignesh Patel

@JigneshTrade

2 years

Dashboard build with #python and @streamlit for backtesting and analysis of multiple trading strategies.

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Jignesh Patel

@JigneshTrade

11 months

If its event day, probability of going #zeroda down is 100 %. @zerodhaonline #zerodha

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Jignesh Patel

@JigneshTrade

4 years

added this to my page, can be useful if want to learn algo trading.

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Jignesh Patel

@JigneshTrade

2 years

Does 0 (zero) brokerage by @FINVASIA is sustainable business model ?. It will be game changer for small account holder (2-20L) in options trading with free API and no brokarage, if this broker is reliable. why should we pay heavy brokarge to @zerodhaonline ? for #algotrading

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Jignesh Patel

@JigneshTrade

5 years

My intraday algo framework.

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Jignesh Patel

@JigneshTrade

4 years

This small script helped me today to make other people also earn more than his monthly salary in a single day.

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Jignesh Patel

@JigneshTrade

2 years

#python numpy array structure to store 10 year OHCL #banknifty options data on 1 min frequency. Size : approx 500 mb

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Jignesh Patel

@JigneshTrade

2 years

Code that start-stops multiple AWS instances of #Algorithms #trading based on #BankNiftyOptions exipy day. #python #AWS

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Jignesh Patel

@JigneshTrade

4 years

#python #script to #schedule #Algorithms #trading . #zerodha #MachineLearning

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Jignesh Patel

@JigneshTrade

2 years

#algotrading is easy to start-with but it takes time to learn many practical aspect, that are mostly not is open-source. One of the trick is :-

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Jignesh Patel

@JigneshTrade

2 years

Guideline to backtest option trading strategies with technical indicator and chart pattern Usecase : Banknifty Intraday with superTrend

UseCase-1.pdf

drive.google.com

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Jignesh Patel

@JigneshTrade

2 years

Computer generating human interpretable trading rules in #banknifty from multidimentaional space of differenet setups, triggers and risk managment. with just 2 dimention of premium and SL, It seleted 500 premium PE and 300 prem CE, with 150 point stoploss for intraday, why?

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Jignesh Patel

@JigneshTrade

4 years

Managed to get 5% return in march 2021. If you're my algo subscriber, you may have 2 more red days, but that loss will not be more than 0.2%.

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Jignesh Patel

@JigneshTrade

2 years

All #options trading strategies can be impoved by adding conditions for position initialize (RISK ON) and exit (RISK OFF). e.g. in 920 straddle (understand purpose only), i just added moving average on 200 rs premium call and put, to sell leg only if below X MA.

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Jignesh Patel

@JigneshTrade

3 years

I use @streamlit library of #python to monitor #algo . python script saves panda dataframes, lists and dictionaries to disk, streamlit reads it using pickle library. its very user friendly.

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Jignesh Patel

@JigneshTrade

2 years

Someone was uploading #banknifty and #nifty index option data at this site. If your looking for free options data, this may be userful. NB : we do not have any assiciation with this site.

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Jignesh Patel

@JigneshTrade

5 years

#Nifty #trendlines #keras #tensorflow #trading #Algorithms #algotrade #quant @in_tradingview @indiaquantrader This is how algo draw trendlines on #Nifty chart.

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Jignesh Patel

@JigneshTrade

2 years

Simplest 2D chart showing stoploss points where risk reward are favorable, for 300 rs premium call and put sell in banknifty, without any regime or quantity dimensions.

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Jignesh Patel

@JigneshTrade

10 months

If you're interested in coding your own trading algorithms, this YouTube channel is providing tutorials to startwth. #Algo #python

Data For Traders

Welcome to DATA FOR TRADERS , explore the world of finance data analysis with our videos. Learn to leverage Python for building powerful trading applications. Join us as we dive deep into the world...

www.youtube.com

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Jignesh Patel

@JigneshTrade

4 years

28% return in Dec 2020. In self account as well as in accounts that are mapped to my "copy trade algo".

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Jignesh Patel

@JigneshTrade

3 years

April 2021, net return ~10%.

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Jignesh Patel

@JigneshTrade

4 years

It's most similar to my work. Algorithmically drawing Trend Lines on a Stock Chart by Christian Kindler in @TDataScience

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Jignesh Patel

@JigneshTrade

5 years

This is most simplest range break #algorithm #strategy #zerodha #python #code , place buy and sell order at high and low of the day at given time. stock selections are deciding factor in making it profitable.

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Jignesh Patel

@JigneshTrade

4 years

Algorithmically Detecting (and Trading) Technical Chart Patterns with Python by Sam Chakerian

Algorithmically Detecting (and Trading) Technical Chart Patterns with Python

Algorithmically trade technical Chart patterns using Python and the Alpaca API.

link.medium.com

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Jignesh Patel

@JigneshTrade

1 year

A solid understanding of the difference between backtesting and live trading is necessary in options trading to profit from algorithms. When its 4 MBPS (Retail Broker) Vs 10 GBPS (Co-location Algo), It's not unusual in options trading for stop-loss orders getting triggered even

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Jignesh Patel

@JigneshTrade

1 year

Mastering the art of expiry trading – where portfolio margin becomes a powerhouse for generating alpha. This code decide which expiry day is today and trade same model for all expiry. #AlphaGeneration #expiryTrading #Nifty #Banknifty #finnifty #python #algorithm

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Jignesh Patel

@JigneshTrade

2 years

added script to calculate pivot point for #nifty and #banknifty in python at below link from my archives.

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Jignesh Patel

@JigneshTrade

2 years

For us, trading is setup + trigger + execution. While traditional algorithms are good in identifying trigger (time and SL only ?)+executions. You need to be one step ahead to make money in zero-sum game. look for edge in trading, return comes automatically.

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Jignesh Patel

@JigneshTrade

2 years

We don't generally speak against anyone in social media. But, we can't remain silent on this tweet by @PRSundar64 . We have reported his ID to Twitter.

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Jignesh Patel

@JigneshTrade

5 years

working sample code for moving average crossover strategy. How to use : Copy code and replace "api_key" and "access_token" with your credentials and run. Warning : This code is not for education, order will go live.

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Jignesh Patel

@JigneshTrade

2 years

Once you have framework to control multiple strikes simultaneous in vectorised cupy array processing, it’s simple to configure most of strategies and run it faster, otherwise it would take hrs to run. added just 15 lines of code in framework to make rolling strategy backtest.

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Jignesh Patel

@JigneshTrade

2 years

Don't look for profitable trading strategy. All options trading strategies are profitable. Our target is to get 30-40% per year, at lowest possible risk.

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Jignesh Patel

@JigneshTrade

2 years

There are many algo platforms now for trading in Indian market. What’s your experience about trade execution in these platforms? Which one is best?

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Jignesh Patel

@JigneshTrade

3 years

#banknifty and #Nifty expiry #trading #ALGO

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Jignesh Patel

@JigneshTrade

2 years

Backtesting is only one part of #algotrading lifecycle. few others are, 1. Backtesting results "Confidence Score". 3. Deployment 2. Forward testing ( not for few days only!) 3. Slippages evalution in live trading 4. Scallability 5. live trading vs backtest results

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Jignesh Patel

@JigneshTrade

2 years

moving from #nonGUI to #GUI using @streamlit and #Python .

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Jignesh Patel

@JigneshTrade

2 years

@Nithin0dha Many of your competitors also have fixed brokarage monthly plan. Looking to have similar plan in zerodha, like pay rs. 9999 and trade unlimited.

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Jignesh Patel

@JigneshTrade

2 years

This code decides how much quantity to sell in my latest expiry algo. comment if you can decode it.

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Jignesh Patel

@JigneshTrade

4 years

4% return in November 2020.

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Jignesh Patel

@JigneshTrade

4 years

Given 12% profit in January 2021 from market. After many months of live testing of new PYTHON scripts in multiple accounts, it's running without any bugs. Ready to add few more subscribers.

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Jignesh Patel

@JigneshTrade

2 years

#MachineLearning or #ArtificialIntelligence can't predict market, becase market is stochastic not deterministic, that's the fundamental of having CALL and PUT. But it can decode #priceaction and can generate return higher than risk taken. #TradingExperiance + #ML + #CommonSense

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Jignesh Patel

@JigneshTrade

4 years

@swing_trader19 follow this steps. 1. learn python basics 2. learn broker library 3. learn to manupulate data and generate signal 4. develop very simple strategy and take it live. 5. focus on two to three strategy and make it robust. 6. list all the issues during live trade and debug.

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Jignesh Patel

@JigneshTrade

3 years

1% loss in may 2021. The real challenges in trading starts when your volume start contributing in candle formation. Taken new trade execution mechanism inline from today.

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Jignesh Patel

@JigneshTrade

3 years

We have #algorithms designed specifically for expiry day options trading in #nifty and #banknifty . This algorithms is intelligent to quickly learn and adopt present market dynamics. These are results of live trading.

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Jignesh Patel

@JigneshTrade

2 years

Managing 100cr at 30% yearly return with algorithm is not same as managing 10cr with 200% return, Investors confidence and consistency matters.

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Jignesh Patel

@JigneshTrade

2 years

This is where domain expertise differentiate traders from data scientist. Data scientist tried to predict stock prices, while traders use data science to generate profit. Who to predict something that's stochastic by nature.

Carl Carrie (@🏠)

@carlcarrie

2 years

Spacetimeformer for Stock Price Prediction Python GitHub: 2021 Paper: Python GitHub application: Stock Prices (low markets utility, but interesting nonetheless)

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Jignesh Patel

@JigneshTrade

2 years

#OptionsTrading #BankNiftyOptions Smoothest decay in premium, in recent time.

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Jignesh Patel

@JigneshTrade

2 years

Framework for #Backtest of Trading Setup.

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Jignesh Patel

@JigneshTrade

5 years

Refer this article if interested in interpreting stock trend with new dimensions. "A Novel Method of Trend Lines Generation Using Hough Transform Method"

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Jignesh Patel

@JigneshTrade

3 years

In options trading, return is proportional to risk taken. In August 2021, we have set 1% risk per day in system and it's given 6 % return. Total 5 day in loss with 1% limit hit on 3 days. Will add few new users to system, with minimum capital 10L.

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Jignesh Patel

@JigneshTrade

4 years

Portfolio Optimization With NumPy by @tonester524 in @TDataScience

Portfolio Optimization With NumPy

All You Need Is Some Matrix Algebra To Make Optimal Portfolios

towardsdatascience.com

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Jignesh Patel

@JigneshTrade

5 years

Python Script to download and save all near month nifty options data with open interest. #Nifty #trading #banknifty #python #zerodha #algotrade #quant

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Jignesh Patel

@JigneshTrade

4 years

Only 15 % return in Oct 2020.

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Jignesh Patel

@JigneshTrade

3 years

9. 10. 11. 12. 13. 14. 15. 16.

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Jignesh Patel

@JigneshTrade

4 years

If you are looking for strategy for systematic trading. I highly recommend to watch this video by @vishalmehta29 and @vivbajaj .

Learner Vivek Bajaj

@vivbajaj

4 years

#face2face release Losses जाओ भूल, सीखो Nifty, Banknifty Options के systematic trading Rule with Systematic Trader @vishalmehta29 90 minutes of best learning video on rule base trading. Literally a course for free. Take it or leave it.

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Jignesh Patel

@JigneshTrade

2 years

#Trading in options is zero sum game.

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Jignesh Patel

@JigneshTrade

3 years

Our last few expiry day trading pnl on Rs. 30L fund user. Leveraging #python ,AI and ML for #algorithmic trading.

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Jignesh Patel

@JigneshTrade

3 years

Margin required for placing sell order in intraday index options is complex, if the available margin is with hedged buy positions. The solution i implemented in python is, if : last order is rejected, don't place new sell order". else : "broker server will get chocked"

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Jignesh Patel

@JigneshTrade

3 years

Reverse engineering on #banknifty .

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Jignesh Patel

@JigneshTrade

2 years

Structural regime change after few years are part of derivative trading and there is no choice but to adopt it. Understanding of statistics and edge of algorithms is more important to survive for longer in changing market dynamics.

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Jignesh Patel

@JigneshTrade

5 years

Must have lines in #Algotrading #python # zerodha

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Jignesh Patel

@JigneshTrade

2 years

#AlgorithmicTrading with #Python

Kirk Borne

@KirkDBorne

2 years

Get the Source code for “ #AlgorithmicTrading with #Python ” (2020) by Chris Conlan here:

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Jignesh Patel

@JigneshTrade

2 years

Trading over decade gives experience of all type of market regime, something that you can't realise in just backtest. If you're new to market, it's difficult to recognise long term regime change, either in equity or in options. My first account was with Sharekhan in 2008 boom.

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Jignesh Patel

@JigneshTrade

4 years

Unable to keep all day green in Sept 2020. Today's result +1.7%. 1 red day with -5%. All other day from 0.1 to 6 %.

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Jignesh Patel

@JigneshTrade

1 year

Don't miss out on this valuable resource! #AlgorithmicTrading #ProfitableTrading #Python #TimeSeries #PredictiveAnalytics #Forecasting #MachineLearning #Statistics #DataScience #Algorithms #Mathematics

Kirk Borne

@KirkDBorne

1 year

Download free 208-page PDF >> Successful #AlgorithmicTrading — quantitative strategies for profitable trading results: ———— #TimeSeries #PredictiveAnalytics #Forecasting #MachineLearning #Statistics #DataScience #Algorithms #Mathematics

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Jignesh Patel

@JigneshTrade

2 years

Backtest is all about updating arrays. we use static array for data that can be set before we start backtest run like premiums, previous day data, technical indicator. during run time dynamic arrays get updated. With GUP and cupy, without any runtime visuals, its fast in python.

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Jignesh Patel

@JigneshTrade

3 years

After many failed ideas to keep pnl same in multiple accounts, which also resulted in huge slippages this month, finally able to design system that have minimum variation.

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Jignesh Patel

@JigneshTrade

4 years

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Jignesh Patel

@JigneshTrade

8 months

How do algo traders do timepass. I am observing option prices move to get some timepass !! #Nifty #optiontrading #algotrading

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Jignesh Patel

@JigneshTrade

3 years

17. 18. 19. 20. 21. 22. 23. 24.

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Jignesh Patel

@JigneshTrade

1 year

Ready to dive into #CNN for chart pattern recognition? The first step is to generate charts that can be easy for machine to read. Check out this code I used back in 2018 to generate images from equity data. #AlgorithmicTrading #TechInFinance

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