fully-automated-nifty-options-trading

Unverified Other strategy on Options by srikar-kodakandla. BotFinder score 18 out of 100.

It is fully automated algo trading , It trades for you in Nifty options using Zerodha kite . You don't need to pay 4000 indian rupees monthly for kite api because this program uses

Source: github

Explorer/Options/fully-automated-nifty-options-trading
18
Data index
OptionsMedium risk⚠ Unverified

fully-automated-nifty-options-trading

srikar-kodakandlaGitHub
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Net return
—
Max drawdown
—
Sharpe
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Profit factor
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Win rate
—
Track record
4.3y
BotFinder Analysis

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About

fully-automated-nifty-options-trading

Fully automated nifty options trading It is fully automated algo trading , It trades for you in Nifty options using Zerodha kite . You don't need to pay 4000 indian rupees monthly for kite api because this program uses selenium to access zerodha kite website Notice: This project is deprecated as Fyers has updated their API from version 2 to version 3, which is not supported by this program. The Program follows supertrend strategy with adx to trade options , i rigorously backtested nifty in 5 min chart and find out the best supertrend values and adx values. when ever supertrend gives buy signal , This program sells options corresponding to the buy signal. it also checks all combinations of nifty options to sell , to see which combination gives more profits, there is a risk paramater in kitestrategy.py , where 50 is lowest possible risk , where it tries to sell options with 50 points difference (if nifty is at 14000 and supertrend gives buy signal then it tries to sell 14050PE and buys 14000PE) and if you choose 500 then , it tries to select options with 500 points difference (selectin

PythonMITOpen-sourcealgoalgo-tradingbacktestingfyers-apinifty50optionsoptions-tradingtrading
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
srikar-kodakandla
Since 2013 · 2 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars252
Forks105
Open issues3
LanguagePython
LicenseMIT
Last update2024-10-10
Created2022-06-25
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