0 5 strategies to buy and sell stocks using algo trading


Algo strategies can help you identify the trend or early reversal of the trend. Strategies on algo are based on price ...

Introduction -

Algorithmic trading (also quoted as automated trading, black-box trading, or algo-trading) utilizes a computer program that obeys a defined set of instructions (an algorithm) to place a trade. The trade, in concept, can develop profits at a rate and frequency that is absurd for a human trader. The defined sets of instructions are based on timing, rates, quantity, or any accurate model. Apart from profit opportunities for the trader, algo-trading renders markets more liquid and trading more systematic by ruling out the effect of human sentiments on trading actions.

Algo Trading Strategies For Stocks

Algo trading strategies give opportunities to either earn revenues or lessen expenditures. Learn about commonly utilized Algo trading strategies from this blog. Algorithm trading, furthermore known as automated, or algo trading utilizes computer programming software that follows a pre-defined set of instructions to place the trade. The instructions may be established on several parameters, such as volume, price, time, or other mathematical criteria.


Advantages of Buying And Selling Stocks Using Algo Trading


·       With algo trading software, traders are implemented at reasonable prices.

·       Trades are executed immediately and with precision with a high probability of being finalized at your desired prices.

·         Real-time trading assures you do not miss any chance due to time lag.

·         Accessible trading expenditures and payments

·         Automated stock trading software enables you to check numerous parameters simultaneously

·         Minimal risks due to human negligences

·         Backtesting algo trading strategies utilizing real-time and historical data

·         Elimination of subjective and psychological human aspects.

·         Trades are executed at the best reasonable prices.

·         Trade order placement is instant and precise (there is a high possibility of execution at the desired levels).

·         Trades are timed correctly and rapidly to avert crucial price changes.

·         Decreased transaction expenses.

·       Coexisting automated checks on numerous market conditions.

·       Decreased risk of manual negligences when placing trades.

·       Algo-trading can be backtested utilizing available historical and real-time data to detect if it is a viable trading strategy.

·       Diminished the possibility of errors by human traders based on subjective and psychological characteristics.

Algo-trading is utilized in many forms of trading and investment activities including:

·       Mid- to long-term investors or buy-side firmspension funds, mutual funds, insurance businesses utilize algo-trading to buy stocks in huge quantities when they do not need to influence stock prices with discrete, large-volume investments.

·        Short-term traders and sell-side participantsmarket traders  (such as brokerage houses), speculators, and arbitrageurs—take advantage of automated trade execution; moreover, algo-trading aids in developing sufficient liquidity for sellers in the market.

·         Systematic traders—trend followers, hedge funds, or pairs traders (a market-neutral trading strategy that approximates a lengthy position with a brief position in a pair of highly correlated instruments such as two stocks, exchange-traded funds (ETFs) or currencies)—find it much more productive to program their trading regulations and allows the program trade automatically.

Algorithmic trading gives a more standardized strategy to active trading than strategies based on trader wisdom or instinct. The majority of precise trading software is high-frequency that capitalizes on executing a large number of trades rapidly across various stock markets utilizing numerous parameters based on a pre-defined set of instructions.


Trading strategies

Algo trading strategies give opportunities to either reap profits or decrease expenditures. Some of the commonly utilized strategies include:

·         Trend-following

The commonest strategy follows trends in technological indicators, such as moving averages, price level movements, and channel breakouts. These do not require making any price forecasts or forecasts. Trades are enforced when attractive trends occur without requiring detailed predictive analysis.


·         Mean reversion

This strategy is based on the premise that the high and low rates of the shares are interim and the price would return to its mean value after a duration. Observing and specifying the range and utilizing an algorithm facilitates automatic placement of trades when the price of the stock moves out of the defined spectrum.


·         Time-weighted average price (TWAP)

The time-weighted average price technique breaks a large order into trades of minor orders. These are evenly distributed slots between the beginning and the end times. The objective is to minimize the effect and enforce the larger order as close to the average price as feasible. The commonest usage of the TWAP technique is to distribute large orders during the trading day.

Executing a huge order as a single trade will boost its price. Traders can define periods during the trading hours over which smaller quantities are bought. For instance, if you want to purchase 100,000 shares of Reliance  Limited, the TWAP strategy halts it into smaller orders that are implemented throughout the trading hours.


·         Volume-weighted average price (VWAP)

1.       This strategy utilizes the historical volume data of a specific stock to break large orders into minor chunks that are dynamically discharged for implementation. The primary objective of the strategy is to enforce the entire order close to the volume-weighted average price. Mutual funds and institutional Traders may utilize VWAP to purchase or sell stocks without considerably influencing the market. Traders may begin with long positions if the price is more than VWAP and may take shorter positions if the price is below VWAP.


2.       The volume-weighted average price strategy dissolves a large order and releases dynamically specified into smaller pieces of the order to the market utilizing stock-specific historical volume profiles. The goal is to implement the order close to the volume-weighted average price (VWAP).


·         Percentage of volume

1.       The algo trading bot always sends one-sided orders until the entire order is implemented. The release of partial orders is based on a pre-defined participation ratio based on the market volume. This strategy sends orders as per your defined market volume percentage, which boosts or reduces as the participation ratio attains the pre-determined phase.

2.       Although automated stock market software may seem highly productive and easy to maintain and implement there are some risks too. You need to bear in mind that different traders may also utilize the same algorithms resulting in price variations in milli and micro-seconds. Thus, it is crucial to select reliable and reputed automated trading software to maximize the advantages.

3.       Until the trade order is, this algorithm continues transmitting partial orders according to the pre-defined participation ratio and according to the volume traded in the stock markets. The applicable “steps strategy” sends orders at a user-defined percentage of market volumes and boosts or reduces this participation rate when the stock price movements reach user-defined tiers.




1) Momentum and Trend


·        This is the easiest of all Algo strategies, it attempts to comprehend the price rhythm in a specific direction and executes trades accordingly. The hypothesis is that the stock will continue to move in a similar direction as it is presently trending. This encourages traders to demonstrate the take-profit or stop-loss price for a provided stock.


·        When the stock price moves beyond recent highs, and even when it moves down, it stays above the initial swing lows, then the stock is in an all-around upward trajectory. The same strategy holds when the price goes below the recent lows. Stock Analysts can utilize technicals such as when the 30-day moving average goes above the 180-day moving average, then it is a buy for that stock and when the 30-day moving average goes below the 180-day moving average, then it is a sell for that stock.


2) Arbitrage Trading


·        Usually, stocks are registered in more than one stock exchange. The prices on each of these exchanges may fluctuate. Arbitrage trading takes benefit of these discrepancies in the price, of the same stock, on various stock exchanges. The Algo trading strategy will purchase the stock on the low-price exchange and sell the stock on the high-price exchange. For a more effective choice, you can partner up with the most prominent Trading Systems, which specializes in Algo trading strategies and assists you to maximize your profits.

·         Purchasing a dual-listed stock at a lower price in one market and simultaneously selling it at a greater price in another market gives the price differential as risk-free revenue or arbitrage. The same operation can be repeated for stocks vs. futures instruments as price differentials do prevail from time to time. Executing an algorithm to observe such price differentials and placing the orders effectively enables many profitable opportunities in your trading portfolio.


3) Mean Reversion


This strategy depends on the theory that regardless of the price instabilities, the price of provided security will come back to the average value at some point. According to statistician Francis Galton, severe geopolitical or economic events are usually followed by normal healthy events in the economy, i.e., things will even out over time.

Traders will specify the upper and lower price limits of the stock and will purchase when the price is below the lower limit and sell when the price is above the higher limit, anticipating the prices to return to the average.

4) Statistical Arbitrage


When stocks are connected, then they will respond similarly to a global economic event or news. The statistical arbitrage strategy utilizes the price inefficiencies that originate among related stocks based on news or events. Usually, these are relatively short-term trades and Algo trading can enable you to take benefit of the small window of opportunity.


5) Weighted Average Price


Another creative Algo trading strategy would be - "The weighted average method utilizes the weighted average price to discharge small orders at a predefined time slot. So, you could have numerous buys and sells hingeing on the price instabilities of the stock. It is tough to carry out these share trades accurately and promptly; therefore, Algo trading strategies come into play.

So, if you’re an enthusiastic trader, we suggest that you utilize one of the above Algo trading strategies to enter and exit stocks with precision and efficiency. This will maximize the return on your wealth which you have invested in the share market.

Conclusion -

In this blog, we have highlighted 5strategiestobuyandsellstocksusingalgotrading. These 5 strategies are easy and manageable! Nonetheless, the practice of algorithmic trading is not that easy to maintain and implement. Remember, if one investor can place an algo-generated trade, so can other market participants do the same. Accordingly, share prices differ in milli- and even microseconds.

There are several risks and challenges such as system failure risks, network connectivity mistakes, time-lags between trade orders and their implementation, and, most crucial of all, imperfect algorithms. The more complicated an algorithm, the more rigid backtesting is required before it is put into action for live trading.



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