Strategy description

Strategy Description: Straddle Strategy (POSITIONAL)

This strategy constructs a synthetic price chart by summing the OHLC (Open, High, Low, Close) data of a NIFTY Call option and a NIFTY Put option of the same strike and expiry — effectively representing the straddle premium as a single, combined candle.

A custom indicator is then calculated on this combined straddle premium data. This helps determine the underlying trend and guides trade direction based on the movement of the premium.

KEY PARAMETERS:

Parameter	Value
Required Capital	₹285,000 per lot
Strategy Type	Nifty Straddle Only
Entry Time	09:15 AM
Exit Time	Trend Based
Universal Exit	03:15 pm (on expiry day)
Target	₹10,000

Entry Logic:

If the close of the straddle premium is above the trend line (indicating an uptrend), the strategy enters a Long Straddle position (buy both Call and Put).
If the close of the straddle premium is below the trend line (indicating a downtrend), the strategy enters a Short Straddle position (sell both Call and Put).
The strategy is always in the trade – switching between long and short straddle positions based on the Indicator direction change.

• This approach attempts to capture momentum and volatility expansions in the options premium, adapting dynamically to market conditions through the logic applied to the synthetic straddle chart.

THIS STRATEGY IS POSITIONAL STRATEGY 

ENTRY TIMINGS 09:15 AM

EXIT TIMINGS 15:15 ON EXIPIRY DAY 
TARGET RS.10000/-

3. Trader Responsibilities

Capital Buffer

Maintain an additional 5–10% margin buffer above your deployed capital to accommodate potential margin fluctuations during volatile sessions.

API Token Generation

Generate your API token daily between 8:30 AM – 9:00 AM to ensure smooth connectivity and uninterrupted execution when the strategy activates at 9:15 AM.

Error Monitoring

1. In case of any error, you may receive alerts via Tradetron or WhatsApp.
2. Check your Deployment logs immediately for diagnosis.
3. Contact Power Star Algo Trading Support through official channels for assistance

Contact:      @powerstaralgo  

                     Or WhatsApp +919886725456 

Broker Configuration

1. Use low or zero-brokerage brokers offering stable API infrastructure.
2. Our team can recommend broker options optimized for automated trading performance.

4. Performance & Expectations

1. Trades are executed only when strong, validated momentum signals are detected.
2. Minor variations due to execution price or strike difference typically normalize over time.
3. The strategy’s performance is driven by statistical consistency and disciplined risk management, not speculation.
4. With ~100 trades per month, returns should be evaluated on a monthly or cycle basis, not daily outcomes.

The model is designed for consistency, scalability, and long-term reliability in volatile market environments.

5. Best Practices & Operational Guidelines

1. Ensure reliable internet connectivity and API stability throughout market hours.
2. Periodically review your account for error or execution alerts.
3. Avoid manual interference with live trades unless explicitly advised by the support team.
4. Adjust your deployment capital before market open—never during active trading sessions.

Following these operational standards will help maintain seamless strategy execution and consistent performance.

Disclaimers:

1. Algorithmic trading is not a guaranteed income source. It is a disciplined, rule-based trading method that minimizes emotional involvement.
2. Both profitable and losing trades are natural outcomes; long-term consistency depends on maintaining discipline and patience.
3. Occasional technical issues (e.g., slippage, API errors, or order rejections) may occur due to exchange or broker limitations.
4. Power Star Algo Trading is not SEBI-registered and does not provide investment advice or guaranteed returns.
5. The strategy has been extensively back-tested and forward-tested, though actual results may vary with market volatility and execution speed. I am an individual trader who create strategy and sell it. I am NOT a SEBI registered investment or financial advisor, i don't take any claim, any guarantee, or any responsibility for any kind of profit or loss caused by the usage of the provided/sold strategy. However, to back it up i provide the paper trade results , but still i commend that any strategy after buying check it yourself by paper trading and then use it for real trade. Do take your responsibility for your choices made to trade, edit, buy and even gain/loss. Trade 
6. We do not assume any responsibility for financial outcomes resulting from the use of strategies or concepts presented in this course. 
7. Users are solely responsible for their trading decisions, including position sizing and risk management. Please proceed with discretion and consult a financial advisor if needed. 
8. This strategy is intended solely for educational purposes.  All strategies demonstrated are meant to showcase how algorithmic trading logic can be structured and should not be interpreted as financial advice or recommendations. Participants are encouraged to develop their own strategies based on individual research, risk tolerance, and trading objectives.