Options Trading Algo using AI/ML
Budget: ₹150,000 – ₹250,000 INR
We are looking for experts to develop an options trading platform for US markets using alpaca or yahoo finance or any other sources(subject to discussion):
1. get data feeds from 3rd party or open source platforms.
2. plot the charts and identify Support and resistance and volatility on the charts using ML.
3. Select and take best options neutral strategies based on the Support and resistance from point (2). and volatility.
4. take positions with 10% of the value total value
5. Adjust trades as per the market directions, limiting the SL = 2%,
6.Take profits and move trailing stop loss for every 1% upside.:
- square off 50% with 2% profits
- square off 25% with 4% profits
- square off 25% with 6% profits.
Strategies in play are:
1. Calender trade when voltatility is low
2. iron condor when volatility is medium
3. ironfly when voltatility is high
The strateges will not be stand alone (place order and forget), program should be able to identify and suggest best adjustment strategy from IC to IF or vice versa, or any strategy based on inputs from GPT assistants.
use inputs from GPT assistants to make adjustments to the trades.
Need capabilities for paper trading and realtime trading.
Quit taking positions based on event (highly uncertain) days (eg: fed rate changes, huge volatility spikes 10-15% spikes in one day)
platforms to use are:
Nodejs,R, Python
Windows, AWS,
data feeds: alpaca, yahoofinance,
AI/ML: Pytorch, Tensorflow,keras
Custom User interface: Should display the current strategies at play (with upcoming adjustment recommendations, and possible outcomes like PL charts and statistics)
since this being direct impact with finances , I require someone with prior experience building such algo/programs successfully with prior project references and their performance.
the bidders need to provide.
1. Detailed Plan on how they would like build this tool and methodology -during bidding process
2. execution methodology with timelines- project plan - at bidding process
3. Development methodology.- post bidding.
4. Testing methodology- post bidding
5. deployment methodology.
post go-live support and guarantee
1. get data feeds from 3rd party or open source platforms.
2. plot the charts and identify Support and resistance and volatility on the charts using ML.
3. Select and take best options neutral strategies based on the Support and resistance from point (2). and volatility.
4. take positions with 10% of the value total value
5. Adjust trades as per the market directions, limiting the SL = 2%,
6.Take profits and move trailing stop loss for every 1% upside.:
- square off 50% with 2% profits
- square off 25% with 4% profits
- square off 25% with 6% profits.
Strategies in play are:
1. Calender trade when voltatility is low
2. iron condor when volatility is medium
3. ironfly when voltatility is high
The strateges will not be stand alone (place order and forget), program should be able to identify and suggest best adjustment strategy from IC to IF or vice versa, or any strategy based on inputs from GPT assistants.
use inputs from GPT assistants to make adjustments to the trades.
Need capabilities for paper trading and realtime trading.
Quit taking positions based on event (highly uncertain) days (eg: fed rate changes, huge volatility spikes 10-15% spikes in one day)
platforms to use are:
Nodejs,R, Python
Windows, AWS,
data feeds: alpaca, yahoofinance,
AI/ML: Pytorch, Tensorflow,keras
Custom User interface: Should display the current strategies at play (with upcoming adjustment recommendations, and possible outcomes like PL charts and statistics)
since this being direct impact with finances , I require someone with prior experience building such algo/programs successfully with prior project references and their performance.
the bidders need to provide.
1. Detailed Plan on how they would like build this tool and methodology -during bidding process
2. execution methodology with timelines- project plan - at bidding process
3. Development methodology.- post bidding.
4. Testing methodology- post bidding
5. deployment methodology.
post go-live support and guarantee