In the Era of Tool Equality, Retail Investors Are Using Wall Street's Execution Methods and Complex Tools

With the introduction of POV, TWAP, and Iceberg into ordinary accounts, the execution gap between retail investors and institutions has shifted from access to tools to parameters, data, and risk control.

Written by: ChandlerZ, Foresight News

At institutional trading desks, "buy" only indicates direction; a complete trading instruction still requires execution time, visible quantity, market participation rate, and price limits. Traders need to determine how long to complete the order, how much to display each time, how much to follow up during active trading, and how to reduce the impact of large trades on market prices. Tools like TWAP, Iceberg, and POV, which handle these issues, have traditionally relied on order management systems, broker algorithms, and specialized trading interfaces.

The execution time of TWAP, the display quantity of Iceberg, and the market participation rate of POV can all be parameterized, which provides the conditions for centralized exchanges (CEX) to offer these tools in bulk. Exchanges connect user accounts, real-time market data, and matching systems simultaneously, and once an execution engine is built, the same software can serve a large number of accounts. Algorithms from institutional systems thus enter the order pages of ordinary users, and the costs of technical access and system procurement are shared across the entire platform.

At the same time, DEX aggregators have begun to split trading paths, with some protocols offering limit orders and automated interfaces, while on-chain derivatives platforms also allow users to run trading bots through programs. CEX can more easily encapsulate complex orders into a unified interface, while DEX retains the characteristics of on-chain verifiability and self-custody, but must also handle gas fees, wallet authorizations, fragmented liquidity, and program access. Both paths ultimately point to professional execution tools moving away from the dedicated systems of a few institutions.

How Bybit Integrates Seven Tools into One Execution Process

The trading page on Bybit features seven tools: TWAP, Iceberg, POV, Chase Limit, Scaled Order, Arbitrage, and Webhook signal trading, covering time, visible quantity, liquidity, price, and external signals.

A large order entering the order book can quickly consume nearby liquidity, so TWAP breaks the order into a series of smaller orders based on preset time and frequency. Bybit allows users to set trigger prices, stop prices, and choose between market or limit execution. The impact of a single large order can decrease when spread over a period; however, if the market continues to trend in one direction during the execution period, subsequent child orders may be executed at worse prices.

When traders want to hide the full size of their orders, Iceberg only shows one child order to the market at a time, submitting the next one only after the current child order is completed. Bybit offers four order preferences, allowing users to choose their order method based on execution speed, maker identity, and price chasing range, meaning the number of orders on the order book no longer equates to the trader's full intent.

Compared to TWAP, which advances at a fixed time, POV first reads how many orders the market can absorb. After users set their participation rate, the system adjusts the size of child orders based on real-time transaction volume or order book depth. Bybit categorizes reference objects into three modes: executed volume, counterparty liquidity, and same-side order book liquidity, speeding up execution when the market is active and slowing down when depth contracts.

Once a limit order enters the order book, if the best buy and sell prices keep moving, Chase Limit adjusts the order to follow the price, reducing the need for manual cancellations and re-listings. Users can set price chasing methods, maximum deviations, and trigger prices, with the system defaulting to Post-only to maintain maker identity as much as possible. When needing to spread positions or exit within a price range, Scaled Order can batch orders and offers four distribution methods: uniform, incremental, decremental, and custom.

In the face of funding rates or price differences between different markets, Arbitrage places orders on both sides into the same process, helping users coordinate the establishment and exit of positions in spot, perpetual contracts, and more. The operation of dual-leg trading is simplified, but the timing of executions, fees, and price differences still affect the final results. When strategies originate outside of Bybit, Webhook can receive TradingView signals and execute perpetual or futures orders based on preset conditions, allowing users to connect indicators and strategy conditions to real accounts without building intermediate programs.

Putting these functions into the same matrix, Bybit offers seven tools, Gate.io five, OKX four, Binance three, and Bitget two. Beyond quantity, the three POV modes, four Iceberg preferences, four Scaled Order distributions, and the price chasing limits of Chase Limit also allow Bybit users to adjust execution methods based on different liquidity and price states.

Once these tools enter the trading page, AI has also lowered the difficulty of learning indicators, organizing rules, and writing basic strategies, with TradingView and Webhook bringing strategy signals to real trading accounts. Ordinary users can first understand one strategy and then let it execute continuously. As users begin to compare how an order is executed, whether manual monitoring is needed, and whether strategy signals can directly land in accounts, competition among exchanges also shifts towards the number of tools, parameter depth, and execution efficiency.

POV Allows Retail Investors to Start Ordering Based on Liquidity

The execution progress of TWAP is determined by time, while the speed of POV depends on how many orders the market can currently absorb. After users set their participation rate, the system calculates the size of each child order based on real-time transaction volume or order book depth, speeding up execution when the market is active and automatically slowing down when depth thins, thus avoiding a complete disconnect between order speed and market capacity.

Moreover, institutions often adjust order speeds based on liquidity changes when handling large directional trades. Bybit has created three selectable modes for transaction volume, counterparty depth, and same-side order book depth, allowing ordinary users to decide how to participate in the market without needing to develop algorithms themselves.

If the participation rate is set too high, POV may still increase impact costs; improper selection of observation windows or liquidity patterns can also alter execution speed and slippage. Retail investors thus gain execution logic similar to that of institutions, with parameter settings still dependent on trade size, market conditions, and risk tolerance.

How Execution Gaps and Markets Will Change with Tools Entering Ordinary Accounts

Completing order splitting, hiding orders, following liquidity, and executing based on external signals with an ordinary account means that the entry point for retail investors and institutions has become closer. Bybit's seven tools cover multiple execution stages, and parameters like the three POV modes and four Iceberg preferences enable users to respond to different market conditions. However, the differences brought by position and capital scale still exist.

Even if the order page provides similar tools, institutions still possess lower latency infrastructure, proprietary data, larger trading capacities, and complete risk systems. The same tools may yield different results, with differences falling on parameter settings, strategy validation, anomaly handling, and trading discipline; professional capabilities still require long-term accumulation.

If these tools are used by more ordinary accounts, there may be more small child orders in the order book, making it harder for single orders to reflect complete trading intent. POV may cause some order flows to change with transaction volume, and Webhook may increase automatic orders triggered by indicators and conditions, gradually shifting retail operations towards parameters, backtesting, and risk limits. The adoption rate of related tools, order proportions, and changes in slippage will determine how much impact this demystification will ultimately have on the microstructure of the market.

Summary

With TWAP, POV, and Iceberg entering ordinary accounts, TradingView signals can also directly trigger orders on Bybit. Excluding capital and position scales, retail investors and institutions have at least begun to use the same type of execution methods, and ordinary users can also manage execution time, visible quantity, liquidity participation, and strategy triggers.

Overall, institutions still have advantages in low latency, proprietary data, and systematic risk control. Exchanges have solved the issue of whether tools can be accessed, but traders still need to answer how to set parameters, whether strategies are effective, and how to control risks. Future differences will increasingly reflect who can set parameters correctly and manage risks effectively.