Intra-day Trading Simplified
Just Select Put or Call option, Stricks are automatically selected for you!
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Works With Major Brokers
Integrate with Any Major Broker in India
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No Commissions
We dont Change any Commissions for orders
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Flat Pricing
We only Charge 2K per month
Trade Intra-Day fast & Instantly.
Link your Broker account and Start Trading. It’s super easy & fast.
- Setup auto Stop Loss or GTT
- Stop Loss Trailing
- Auto Exit and Enter Trades
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Create Account
Get on the wait list and get an account
Link Your Broker
Link your broker account in minutes
Start Buy & Sell
Start one click trading
Why Choose us for your business.
- Simple and Sophisticated Technology
- Clear instruction based trading
- Minimize Risk with easy entry and exit
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Professional traders as Beta Testers
Million in Trades done in platform
Brokers
Trsuted by Clients
Any Questions? Find here.
Don’t find your answer here? just send us a message for any query.
Contact usAlgorithmic trading, often referred to as algo trading, is a strategy that utilizes computer algorithms to execute trading orders in financial markets. These algorithms are designed to analyze market data, identify trading opportunities, and execute orders at optimal prices and speeds. Algo trading aims to remove human emotion from the trading process and can be applied to various asset classes, including stocks, forex, and commodities.
Algorithms in algo trading work by processing vast amounts of market data in real-time. They use predefined sets of rules and mathematical models to analyze price movements, trading volumes, and other relevant indicators. Based on this analysis, algorithms can generate buy or sell signals and automatically execute trades. The efficiency and speed of algorithmic trading are crucial, allowing traders to capitalize on market opportunities that might be fleeting for human traders.
Speed and Efficiency: Algorithms can execute trades at speeds incomparable to manual trading, leading to faster order placements and executions. Reduced Emotion: Algo trading eliminates emotional decision-making, which can be a significant factor in human trading errors. Backtesting and Optimization: Algorithms can be tested on historical data (backtesting) to fine-tune strategies, improving their performance in real-market conditions. Diversification: Algo trading allows for simultaneous execution of trades across multiple assets, markets, or strategies, providing diversified portfolios.
Technical Risks: Issues such as system failures, connectivity problems, or glitches can disrupt algorithmic trading. Market Risks: Rapid market changes or unexpected events can lead to unforeseen losses, especially if algorithms are not adaptive enough. Over-Optimization: Excessive fine-tuning of algorithms based on historical data (overfitting) may lead to poor performance in real-market conditions. Regulatory Risks: Changes in financial regulations or unexpected legal developments can impact algo trading strategies.
Yes, individual traders can participate in algo trading, thanks to the availability of user-friendly algorithmic trading platforms. These platforms often provide pre-built algorithms, allowing traders to automate their strategies without extensive programming knowledge. Additionally, some brokerage firms offer API access, enabling traders to develop and implement their custom algorithms. However, it's crucial for individual traders to thoroughly understand the principles of algo trading and continuously monitor their algorithms to mitigate risks effectively.