Quantitative Trading Strategies for Profiting During Rising & Falling Markets


Our algorithmic trading strategies provide diversification to your portfolio by trading the S&P NIFTY index stocks and futures. Applying trend-following, counter-trend trading, and range bound cycle based strategies, we seek to provide a systematic, highly automated trading decision process capable of providing consistent returns for our clients.*

We offer a three-in-one investing and daytrading service where all algorithmic strategies are automatically traded within your brokerage account as one system. Rock-Trader Algos Strategy "Rock Tradersqueeze V1.0" has been granted approval by NSE for trading on Presto Platform of Symphony Fintech Solutions Pvt Ltd. through Composite Investments P Ltd, a Trading member of NSE


1. Short term momentum shifts between overbought and oversold market conditions, which are traded using long and short positions allowing, potential profits in any market direction.

2. Trend following takes advantage of extended multi month price movements in either direction up or down.

3.Cyclical trading allows potential profits during a range bound sideways market. Some of the largest gains are encountered during choppy market conditions with this strategy.*

Our Product – Rock Traders is an all-in-one trading system that combines the three strategies listed above into one unique algorithmic trading system to make one complete system.

Algorithmic Trading Strategies

Rock-Trader Algos quantitative trading strategies diversify your portfolio in two ways; (1) it trades NIFTY index stocks and futures covering the top ten market sectors, (2) it employs three unique strategies. The three unique strategies provide additional stability (or diversification) as a result of multiple approaches and the fact positions vary in length from 2 – 90 days.

algorithmic trading strategies


Rock-Trader Algos seeks to add value by maximizing return efficiency, a statistical measurement of performance. We add value through consistent performance, regardless of the current market condition or trend.** Our intricate risk management rules and system can provide low portfolio volatility and a low correlation to stock market returns.

Riding the stock market roller coaster and watching your portfolio fall with the financial market can now be avoided through the use of our algorithmic trading strategies.^.^

The value we provide to our investors state-of-the-art research, properly managed positions and high transparency levels , all of which are designed to assist investors in reaching their financial goals sooner.***



Our algorithmic trading strategies are not market-neutral, meaning we do not hedge our position because we seek to profit from the stock market. Instead, our trades are directional and typically in the direction of the major trend, whether price is moving up, down or sideways.

Investing with Rock-Trader Algos carries the risk of loss as does with all investments.

However, we are very conscious and aware of the importance of controlling risk, and believe that trading using our algorithmic trading strategies and automated approach will successfully manage risk while seeking attractive returns.***


Our Algorithmic Trading Strategies – Description & Philosophy

We believe the Rock-Trader Algos algorithmic trading system is everything an investor wants and needs to generate consistent long-term growth.*

Our unique proprietary tools and algorithms allow us to take advantage of financial markets regardless of the market’s direction (up, down, or sideways). Rock-Trader Algos’ advanced filters monitor the market on a tick-by-tick basis evaluating each entry, profit or loss, or stop placement level in real-time, so you don’t have to.

What We Trade:

The system trades the NIFTY Index Stocks and Futures contract with both long and short positions. Trades are typically held for ten days, and the system generates an average of 46 trades per year for Equity Share Investments and 1 or 2 trades for Daytrading.

Rock-Trader Algos’ number one priority following the execution of a position is to maximize profits and reduce risk. Initial protective stops are always 3% or less from the entry price.


Position Management Used

Our dynamic position management system actively trims and adds contracts during overbought and oversold market conditions. Multiple partial legs can be open at the same time as part of our strategy to maximize profits during strong trends as recent winning trades (legs) will still have a partial open position open with an oversized profit.

Account Size Needed

Minimum trading account required for all trades to be executed by the system is a ₹5,00000 INR for Equity Share Investments and ₹1,00000 INR for Day trading  account. The strategy trades in blocks of three contracts per leg (For Investments)  and one contract for Day trading. Each position is broken into thirds allowing for quick partial profit taking, a larger gain on another third and allows us to utilize a runner for trends that continue for an extended period of time.*


The market does not always provide quality trading opportunities thus the system may not trigger any trades for 30+ days (In the case of Equity Investments), but this rarely happens. During repeated trend reversals that take place within a few months we have seen Rock-Trader Algos take up to three months before a new high water line (new trading account high) has been reached. While the system ordinarily does exceptionally well during choppy markets, each time there is trend reversal the last trade entered will be a losing trade. This is typical with virtually all trading strategies and is part of algorithmic trading.*

Trend reversals is when the majority of losing trades will take place. When a trend reversal occurs, the most recent position entered is likely to have all three contracts open, which means the losing trade will be holding three futures contracts. Losses can be as high or higher than 9% per trade. This is rare for the system but should be expected. Keep in mind the average loss per trade is only 3%. Because our algorithmic trading strategies have a high win ratio our losing trades can be larger than our average winning trade and the system will continue to generate gains. Review the trade history to see for yourself how our system performs in up, down, sideways and trend reversals.**


Each year the stock market has a sweet spot where 80% of the gains will be generated within a few months so commitment to the algorithmic trading system is important for long term success.

Algorithmic Trading Results

Depending on market analysis by the system when running in real-time, position size may vary from 1-3 contracts per trade to better manage risk during high volatile market conditions. Back testing results are based on a full position size of 3 contracts per trade.


This methodology was created in 2007 and during the last two years has been converted to an automated system. Thus, after a six year period of extensive backtesting, manual reviewing of each trade and position adjusting, Rock-Trader Algos is now available for individual investors to help level the playing field with the pros, hedge funds and private equity firms on Dalal Street.

Our algorithmic trading strategies use several data points to power its decision making and trades. The use of cycles, volume ratios, trends, volatility, market sentiment, and pattern recognition puts the probability in our favor. Rock-Trader Algos uses three algorithmic trading strategies and it identifies the best strategy for the current market condition. Then, it automatically trades for you. Trades are entered as a limit or market order depending on the current algorithmic strategy running. This ensures the best possible price and performance possible.

IMPORTANT ALGORITHMIC TRADING STRATEGIES FEATURE & BENEFIT: When a futures contract is nearing expiration, our system will automatically close out the front or nearby contract and re-establish the position in the new front or nearby contract month. No action is required on your part. It’s a true hands free trading strategy.