The order types and algos available on our platform help traders implement algorithmic trading strategies and may help limit risk, speed execution, support price improvement, provide privacy, time the market and simplify the trading process through advanced trading functions.
Use the links below to sort by product or category, and then select an order type to learn more.
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This strategy seeks liquidity in dark pools with a combination of probe and resting orders in an attempt to minimize market impact. Works child orders at better of limit price or current market price. Prioritizes venue by probability of fill.
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Participation-rate algorithm that uses Fox River alpha signals with the goal of achieving best execution. Allows the user to determine the aggression of the order. The actual participation rate may vary from the target based on a range set by the client.
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An aggressive arrival price strategy for traders who "pick their spots" based on their own market signals. Trades with short-term alpha potential, more aggressive than Fox Alpha.
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Liquidity seeking dark strategy with the ability to dynamically slide between targeted levels with a single numeric input in an effort to minimize market impact. Ability to access major dark pools and hidden liquidity at lit venues. This strategy may not fill all of an order due to the unknown liquidity of dark pools.
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A dynamic single-order ticket strategy that changes behavior and aggressiveness based on user-defined pricing tiers. Ability to set individual POV rate, "I Would" dark setting and sweep price.
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A strategy designed to provide intelligent liquidity-taking logic that adapts to a variety of real-time factors such as order attributes, market conditions, and venue analysis. Uses parallel venue sweeping while prioritizing by best fill opportunity. Routing reaches all major lit and dark venues.
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An ETF-only strategy designed to minimize market impact. This algorithm is designed to assess market impact and if orders are a large percentage of ADV (average daily volume), the strategy will attempt to minimize impact while completing the order. Aims to execute large orders relative to displayed volume. Dynamic and intelligent limit calculations to market impact.
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Percent of volume (POV) strategy designed to control execution pace by targeting a percentage of market volume. Emphasis on staying as close to the stated POV rate as possible.
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A time-weighted algorithm that aims to evenly distribute an order over the user-specified duration using Fox River alpha signals. Allows the user flexibility to control how much leeway the model has to be off the expected fill rate. Seeks to outperform TWAP using Fox River Alpha and short-term alpha signals.
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A passive time-weighted algo that aims to evenly distribute an order over the user-defined time period. Participation rate is used as a limit.
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A volume specific strategy designed to execute an order targeting best execution over a specified time frame. Allows the user flexibility to control how much the strategy has to be ahead or behind the expected volume. Using Fox short term alpha signals, this strategy is optimized for the trader looking to achieve best overall performance to the VWAP benchmark.
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Passive volume specific strategy designed to execute an order targeting best execution over a specified time frame. Tags specifying a time frame can optionally be set. Participation rate is used as a limit.
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Benchmark: Arrival Price
Designed to achieve best execution across wide-ranging market conditions by striking the perfect balance between passive and aggressive fills.
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Benchmark: Volume Weighted Average Price (VWAP) or Time Weighted Average Price (TWAP)
Trade on a user-defined schedule while positioning for opportunities to capture the spread.
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Benchmark: Daily Settlement Price (Cash close for US equity index futures)
Trade optimally over time while targeting the settlement price as the benchmark.
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Benchmark: Sweep Price
A liquidity-seeking strategy designed to optimally execute when urgent completion is the primary objective. Recommended for orders expected to have strong short-term alpha.
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The broker simulates certain order types (for example, stop or conditional orders). To provide clients with a consistent trading experience, simulated order types may be used in cases where an exchange does not offer an order type. While simulated orders offer substantial control opportunities, they may be subject to performance issue of third parties outside of our control, such as market data providers and exchanges.
Although the broker attempts to filter external data to ensure the best possible execution quality, they cannot anticipate all of the reasons that a simulated order may not receive an execution, or may receive an erroneous execution. Unsatisfactory (non)executions may result from events, including [i] erroneous, missing or inconsistent market data; [ii] data filters (example: the broker may ignore last sale data that is reported outside the prevailing bid-ask as it often represents untimely or erroneous transactions; this may impact triggering of simulated orders); [iii] transactions subsequently deemed erroneous by an exchange; [iv] market halts and interruptions.
Clients should understand the sensitivity of simulated orders and consider this in their trading decisions.
Please note that exchanges and regulators require brokers to impose various pre-trade filters and other checks to make sure that orders are not disruptive to the market and do not violate exchange rules. Exchanges also apply their own filters and limits to orders they receive.
These filters or order limiters may cause client orders to be delayed in submission or execution, either by the broker or by the exchange. Filters may also result in any order being canceled or rejected. The broker may also cap the price or size of a customer's order before the order is submitted to an exchange.
The broker reserves the sole right to impose filters and order limiters on any client order and will not be liable for any effect of filters or order limiters implemented by us or an exchange.
Please note that GTC orders are not supported for IBAlgos.