Our AI-powered trading analytics help retail traders instantly analyze their trading behavior, save up to 20%* on trading costs, and enhance their returns - with a free trade report.
Boost Your ProfitsStock Name
Time Frame
Number of Shares to Trade
Time
Size (in shares)
Order Types
12:30:00
10
MKT
14:20:00
10
LMT @200
16:10:00
10
LMT @190
Book a call with our quantitative analysts to receive personalized execution strategies that further your trading edge
Unleash Your Trading PotentialHidden fees such as the bid-ask spread and slippage quietly diminish potential gains. If a trader buys a stock at a higher ask price and sells it at a lower bid price, the spread represents a hidden cost. Over time, these small, unnoticed fees add up, significantly reducing profitability.
Retail traders often face unseen trading costs due to suboptimal trade execution. These costs include the bid-ask spread, slippage, and poor order routing practices. These unseen costs quietly accumulate and can significantly impact overall returns.
Hidden fees such as the bid-ask spread and slippage quietly diminish potential gains. If a trader buys a stock at a higher ask price and sells it at a lower bid price, the spread represents a hidden cost. Over time, these small, unnoticed fees add up, significantly reducing profitability.
Without access to advanced trading tools and analytics that provide detailed cost breakdowns, traders remain unaware of the exact costs involved in each transaction. This operational blindness means that retail traders often lack real-time insight into transaction costs, making it difficult to evaluate the true cost of their trades.
Unlike institutional traders, retail traders lack access to advanced algorithms and comprehensive market data, leading them to settle for the National Best Bid and Offer (NBBO). This results in missing out on better price improvements and higher transaction costs that go unnoticed, leading to higher transaction costs and reduced profitability.
The cumulative effect of hidden fees and suboptimal execution strategies leads to lower than expected investment returns. Over time, these unseen costs compound, significantly reducing the overall growth of a trader's portfolio. What may seem like small, individual losses can add up to substantial financial discrepancies, undermining long-term financial goals.
Retail traders face a competitive disadvantage in the market due to these inefficiencies and higher costs. They cannot maximize their trading potential without access to the same advanced tools and insights as institutional traders. This results in missed opportunities and lower overall performance, leaving retail traders struggling to keep up in a fast-paced, competitive market.
Simply drag and drop your trade history onto Hoodwinked. In one click, we'll prepare your trade data for immediate analysis. Our platform ensures all relevant trade data is captured securely, accurately, and efficiently for actionable insights.
Upload Your TradesOnce uploaded, we'll instantly analyze your trading behavior to provide deep insights into key patterns and areas of concern. We highlight trading styles, strategies, and high slippage trades through clear, understandable visualizations in our FREE trade report.
Uncover Hidden Trading CostsOur advanced AI-powered analytics generate personalized strategies to reduce hidden trading costs. We offer actionable insights to adjust trading techniques, and evaluate them with backtests to provide confidence in our analytics.
Access FREE trade reportBlockhouse Sample Best Execution Report
Blockhouse uses cutting-edge Machine Learning (ML) techniques to analyze your trades and spot trends that are increasing your transaction costs. With our ML model, we have created this report to provide an overview of your trading behavior, identify trends in past trades that could be increasing your implicit trading costs, and provide actionable suggestions for how you can reduce your transaction costs by up to 21%. Let's dive in.
Recommendations to Reduce Your Costs by 21%:
Below are some suggestions for areas of improvement based on the trends that our model identified. For real-time trade recommendations, please see Section 4 at the end:
Timestamp | Price | Slippage(%) | Venue | Market Condition (Liquidity, Price Action, Volatility) |
---|---|---|---|---|
Here are some trends in your trading behavior and some recommendations for how to adjust performance in the future:
Trade Timing
Trade Size
Trade Order Type
Market Conditions
To rigorously test the performance of our recommendations, we employed a dual-pronged backtesting approach using both real historical market data and simulated market conditions reflective of historical scenarios within the analysis period.
These results underscore the potential for significant cost savings and enhanced portfolio performance through the implementation of our tailored trading recommendations.
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