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If I remember back to my heady days as a trader, I was the unfortunate point-person on the desk tasked with cooperating with the Compliance team and scrutinizing any unusual patterns in our transactional data., This meant periodically reviewing a sub-set of client orders generated by a TCA exception report due to their variation in slippage from the client strategy benchmark, and then validating the disparity. It was a manual, labour-intensive process often involving trades from weeks or months in the past that typically had to be investigated at the individual execution fill level. For a relatively busy trading desk. it was incredibly difficult to recollect why strategies were changed and specific trading decisions made for many of our discretionary orders. Even less so without tangible evidence or quantitative reasoning.

Today, this type of compliance process is becoming increasingly automated and more sophisticated, but the challenges remain for traders. The onus is on them to rationalize and prove out their trading behaviour. The ability to demonstrate ‘Best Execution’ is multifaceted and currently relies heavily on standard post-trade TCA reports. Yet, many do not provide quantitative historical recorded evidence that validates and supports decision making and course correction in-trade. The OTAS Intraday Lingo application does.

By displaying visual and written exception analysis, Intraday Lingo helps traders easily articulate and support why certain trading decisions were made with respect to prevailing market conditions at specific times during the life of an order. Principally, Intraday Lingo demonstrates four core competencies-

  1. Automates control & process efficiencies,
  2. Proves how trade execution was in the best interest of client orders,
  3. Validates trader behaviour,
  4. Provides full audit history of course correction and market conditions.

Lets look at a recent example:

Hargreaves Lansdown experienced several exceptional market condition events on the 6th July. These event alerts are catalogued in a textual timeline and are also annotated on the return chart. The alerts (visible through the OTAS Alerts app) provided a potential ‘call to action’ for the trader and are recorded by Intraday Lingo as the catalyst for implementing a change in strategy.

  1. Extreme Liquidity – Outsized build in lit market bid/offer liquidity. Opportunity to spread cross using liquidity seeking algos.
  2. Low Return – Idiosyncratic price return. Recalculate participation rate based on order direction.
  3. Wide Spread – Potential liquidity issues. Consider block trading/dark aggregators (such as Liquidnet) for sourcing liquidity and spread capture.

The ability to present such evidence is a must-have for traders under today’s regulatory environment and when populated with order fill data* provides a very powerful, post-trade, compliance friendly tool.

*On product roadmap

One of the biggest challenges facing busy buy-side and sell-side trading desks is the ability to effectively manage large quantities of orders in real-time. Standard pre-trade processes involve ‘bucketing’ orders within the EMS and typically prioritizing by size (in terms of percentage of historic ADV or total notional value) or other variables like expected market risk and trade impact. Orders exposing higher values for these factors would be considered ‘high touch‘ orders, segregated and worked manually by the trader.

But what about the not-so-large trades or highly ‘liquid stocks,’ the type of flow that gets sent straight through the pipe into regular benchmarking algos? Should these orders be treated with any less importance than their larger counterparts just because of their rank in the trade hierarchy? A rhetorical question of course, and under the implementation of upcoming regulatory changes, trading desks need to demonstrate their ability to process and diligently execute their entire pad in accordance with best execution policies. This requires sophisticated monitoring, and it’s where technology steps in.

At OTAS, we understand that traders with consistently large order pads cannot realistically manually manage all their flow every day. The key is the ability to identify the trades where they can add real value, rather than focus where they cannot.

Intraday Screener solves this problem by helping traders optimise their order pad in real time. ‘Outlier’ orders are identified using the stock behaviour that the trader deems most important to their trading style; such as extreme price movements, capturing irregular traded volumes and liquidity, or monitoring price spreads. Importantly, the analysis is systematically applied across the whole order pad, meaning once the trader has applied specific scenario analysis, he/she can manage the exceptions from the smallest low touch ticket to the largest multi-day ticket on the pad.

To simplify the optimization of order pads, Intraday Screener provides ‘hot buttons‘ at the top of the application, which combine multiple stock characteristics and allow traders to change views to monitor specific trading conditions to support decision making and strategy.

Basic compares the intra-day price return (+/-) and traded volume. Stocks in the top right quadrant, for example, exhibit positive idiosyncratic price performance on higher than expected volume, which may make them easier to trade, but subject to mean reversion. A trader may want to take a closer look at an order in this security. The Basic combination of factors help traders manage orders that are reacting to new information in the market, such as trending with volume, or that are being affected by the heavy footprint of others and may mean revert when those orders finish.

**London Stock Exchange a visual outlier trading higher on large volume

Volatility Risk‘ compares the liquidity of orders on the pad with the spread between best bids and offers. Traders use this analysis to identify high impact or potentially hard to trade orders. Conversely, a stock with exceptional liquidity and low spread should be easier to trade.

**Ashtead Group experiencing poor trading conditions with below average liquidity and exceptionally wide spread.

‘HFT Signals’ compares the volume and liquidity fractions, which we define as fifteen-minute moving averages of the relative strength of buyers and sellers, in terms of posted liquidity and traded volume. A stock in the top left-hand quadrant, for example, has seen more shares traded on the bid (sellers crossing the spread) but is displaying more posted bid liquidity than offer. As with all intraday exceptions, the potential for mean reversion in this stock should be front and centre of a trader’s mind (because the HFTs are thinking the same thing).

 ‘Custom’, as the name suggests, allows the trader to determine the factors that show on the chart axes and determine the size and colour of the bubbles.

Intraday Screener is a powerful trade-monitoring tool shaped to the factors that matter most to you and your trading strategy. In an ever-increasingly automated market, Intraday Screener ensures that you never miss an anomaly on your order pad, freeing you up to trade more efficiently.

Through client led demand, in the last 12 months we have again significantly accelerated the breadth of our offering through strategic channel partners. Our recent partnership announcement with Charles River being the latest OEMS to deliver our trader intelligence via their platform:
https://www.finextra.com/pressarticle/69102/charles-river-and-otas-combine-for-trade-transparency

OTAS analytics are now integrated into the majority of market leading front end Order Management and Trading systems globally, strengthening our partners existing offering by providing leading edge technologies and process relevant analyses linked directly to their clients live order pads.

From initial order acknowledgement and strategy implementation, through in-trade exception management to the final execution fill and post-trade recording, our applications ensure each client/trader has the toolkit to maximise their execution efficiency by keeping them constantly connected with their orders(single stock and consolidated pad level) in way that provides complete transparency for every trading decision they make.

This simple flow chart demonstrates how our trading analytics are applied at various stages in the life cycle of client orders directly through the traders Execution Management System.

Progressive, forward thinking asset managers and trading firms understand the real need to embrace technology to create real alpha in their investment process. As the trading landscape looks set to change again in 2018 with the implementation of MIFID II, firms not using smart technologies will be heavily disadvantaged in an ever increasingly quantitative and systematic marketplace. Let OTAS help you solve those challenges.
Dont get left behind, speak to us directly at otassales@otastech.com or contact your EMS provider on how we can improve efficiency, transparency and profitability across your desk.

 

 

 

What a difference a year makes….well 10 months !

We revealed in our post-Brexit blog back in June of last year how senior directors(‘insiders‘) of the largest UK companies were using the market sell off as an opportunity to invest their personal wealth back into their own businesses by buying company stock. At the time, it was a telling signal that they believed their own companies were mispriced and undervalued, whilst simultaneously boosting market confidence about the limited impact of Brexit on UK PLC.
Retrospectively it seems these directors were vindicated in their assessment. The pullback was temporary and the market has since rallied a further 14% from preBrexit levels and some have made a killing.

So lets roll forward 10 months…..

Today’s insider analysis now paints a very different picture, well, certainly for the UK companies most exposed to fluctuations in sterling, the UK 250 Mid-Caps.
The Net Discretionary Transaction Value(Sells vs Buys) of insider transactions for this segment of the market over the last three months has seen its highest selling intensity since the same three month period in 2007. A total of £173m worth of company stock was sold from February to April, over four times more than was bought by directors.

Our analysis shows there has been two real notable periods of consistent, high intensity insider selling in UK Mid-Caps both coinciding with negative event catalysts; in 2007 ahead of the impending Credit Crisis and in similarly in 2010 at the onset of the Greek Debt crisis.
Are we to assume this increased vigour to sell company stock represents an about turn by the directors of UK PLC and their estimation of the company’s fortunes in a post-Brexit world ? Or now that they have had time to properly assess the impact of Brexit on their businesses are they unknowingly signalling to the market about an expected material slowdown in business conditions ? Time will tell…

We also noted in our previous Brexit blog that Andrew Pidgley the Executive Chairman at UK property firm Berkeley Group had transacted the single largest individual buy trade in the immediate aftermath of the vote,  purchasing c£1m worth of stock. Those who use OTAS to monitor his transaction history will have seen that he has recently sold over £31m worth of stock(around 15% of his total holding,) his largest single transaction ever. Furthermore, they will have identified his previous selling history as particularly knowledgeable. 

With the triggering of Article 50 now discounted by the market, the focus turns to the next two years of negotiations and it will be this that has the greatest influence on UK companies. However, if the market is looking a for a proxy on the confidence of UK businesses it only needs to looks at how some of their leaders are positioning themselves now, especially in the sectors which are potentially most exposed.

Many traders believe that trading around earnings announcements doesn’t provide an attractive risk/reward proposition, probably due in part to the information asymmetry that exists and the fact they are generally not well informed. They just dont have that ‘edge.’

Our clients do.

OTAS’ unique ability to bring multiple factor analysis and key risk identifiers together in one place gives our clients the ability to actively manage portfolios and stock positions by minimizing surprise risk over earnings season.

Clients with access to our Estimize earnings estimates have the ability to compare current consensus EPS data whilst additionally combining the power of OTAS’ Earnings Positioning screen and other Core multi-asset analytics to identify which of their investments have potentially elevated positive/negative price risk heading into numbers.

Let look at a couple of current examples with upcoming earnings:

Possible downside risks:
Wyndham Worldwide – Earning Release Wed 26th April

  • Stock making new 52-week highs. Technical RSI of 83.5, currently the third most overbought stock in S&P500.
  • Analyst EPS estimates remained unchanged over last month versus share price +9%.
  • Shares are now trading at the median analyst price target of $91(consensus ‘Buy’)
  • Estimize consensus expects only a 2 cent(or 2%) Q1 beat vs Wall St.
  • Short Interest in the last week has increased by a significant 18% to 9.11% of free float.
  • Shares are priced to heavily beat, market EPS expectations are inline. Negative Hedge Fund positioning suggests possible ‘Travel & Arrive‘ scenario.

Possible upside risks:
Tractor Supply – Earning Release Wed 26th April

  • Positive price reaction following fall in shares after negative pre-announcement in early April.
  • Earnings estimate downgrades now reflected in share price. Shares trading at 16% discount to median analyst price target(consensus ‘Buy’)
  • Company valuation and 12m yield looking potentially attractive
  • Estimize forecast Q1 EPS of 0.50 cents, still 6.4% higher than Wall St average
  • Significant 1 week fall in short interest, -37% to 2.4% of free float.
  • Pre-announced downgrades now ‘in the price,‘ strong fundamentals, heavy short covering, general consensus still expect a Q1 beat.

For more information on any of our risk screening tools or trading analytics, make sure you visit our stand at TradeTech(Stand 14) over the next few days where we’d be happy to show you more.

Under new MIFID II proposals the responsibilities bestowed on an individual executing trader will be under increased internal and external scrutiny. For their part, they will now be expected to be a source of alpha and value-add in the investment process whilst also providing direct accountability for the best execution of every order on the firms pad under their supervision.

In the third blog of our Preparing for MIFID II series, we showcase how OTAS’ intelligent In-Trade technology is enabling traders to become more efficient through the life of a trade, by being active by exception. This means using advanced artificial intelligence techniques to monitor idiosyncrasies in live stock behaviour and informing traders so that they are able to reassess and reselect the best strategy for their orders in reaction to changes in real-time market information. Put simply, traders can now take real ownership of their trade blotter, optimizing their flow to the orders where they can have most impact and by providing transparent, recordable visual evidence for the basis of their decision making.

Our Microstructure charts use quantitative modelling to predict the expected daily forecasts for a range of stock trading metrics including price return(absolute and vs basket,) volumes, liquidity and spread. If during the course of an order any of these live stock conditions trade in extreme of these forecasts(through impact caused by the trader or general market) it is considered a potentially actionable signal for the trader and a visual Alert is fired. Further important price sensitive information is also relayed via the Alerts including outsized Dark/OTC volume, live company Insider transactions and Peer Event reporting.
Extensive market intelligence tools including total volume and closing auction forecasts, venue breakdown analysis(Dark & Lit), V.A.P and latest News are also provided within the Microstructure stack.

Key Benefits of Microstructure & Alerts:

  • Systematically monitor trade blotters of any size, using an exception based approach.
  • Course correction of orders in response to realtime Alerts
  • Alert metric(s) selectable by client preference including trigger threshold/sensitivity.
  • Microstructure and Alerts recorded to provide visualization evidence of traders decision process.
  • Extensive volume analysis across Lit & Dark markets

Order Blotter Alerts sample                                                Alerts recorded through Order life cycle

Additionally, our In-Trade Performance function allows traders to monitor live order performance against specific client execution instructions or a range of strategy benchmarks. It also allows them to perform real-time analysis of the direct impact of their trading decisions on execution price(slippage) and participation rate.

A large majority of our EMS partners now have OTAS In-Trade components directly embedded into their trading platforms, meaning their clients are already benefiting from fully integrated, optimizable execution processes. These are just three of a whole suite of bespoke real-time trading applications we have created to help Global Trading desks provide a systematic approach and facilitate ‘sufficient steps’ under the guidelines and framework of MIFID II.

Contact us now to explore the current apps available within your EMS and how we can assist your current execution policy or technology mandate at otassales@otastech.com

***OTAS has been nominated for the Intelligent Trading Technology Awards 2017 under the Best Trading Analytics Platform category. Please vote for us using the following linkhttp://resource.datamanagementreview.com/intelligent-trading-technology-awards-2017-survey . Voting is open through April 21, 2017. Winners will be announced at the Intelligent Trading Summit on June 8.***

 

Under MIFID2, executing traders will be accountable for every aspect of a client order and for ensuring that a firm’s best execution policies are implemented. Ultimately, this means demonstrating the ability to record a consistent, compliance-approved process of why each decision was made.
OTAS helps traders achieve this via a simple 2-step process using the Trade Schedule and Intraday Lingo applications. Traders can copy, store and send the analysis from both apps to satisfy the desk, compliance and clients.

In our previous Function of the Week, we demonstrated how traders can optimize an entire order pad and distribute high and low touch orders based on exceptional trading characteristics and workflow scenarios. This week we concentrate on the individual orders that comprise an order pad, focusing on the initial stage of the execution process,  Strategy selection and Implementation.

The Trade Schedule component offers traders proprietary pre-trade order analysis using quantitative forecasts of stock risk(volatility), impact cost and total expected trade costs for their order size across a range of benchmark strategies. This includes our own Optimal schedule and provides justifiable decision making evidence for strategy selection and best execution processes. Each order schedule can be optionally tailored to an individual clients needs by presenting revised cost calculations based on the clients level of risk aversion.

Once a strategy is selected and implemented it is then dynamically monitored in real-time, continually calculating suggested participation rates to account for changing market conditions and execution fill data throughout the life of the trade.

Key Benefits of OTAS Trade Schedule:

  • Demonstrating ‘best possible results’ on an on-going, consistent, systematic basis.
  • Variable cost output forecasts based on individual client risk appetite/trading style.
  • Justification of pricing decisions for OTC risk trades.
  • Dynamic in-trade monitoring of schedule suitability(decision support for adjusting participation)
  • Multi stage analysis of order execution process

Example: Schedule forecasts to Buy 200k Siemens

A large majority of our EMS partners now have the OTAS Schedule component along with risk, impact and total cost forecast columns directly embedded into their trading platforms, meaning their clients are already benefiting from fully integrated, optimizable execution processes.

Example : Blotter view optimized by ‘riskiest’ orders

Trade Schedule analysis is just one of a suite of bespoke real-time trading applications we have created to help Global Trading desks provide a systematic approach and facilitate ‘sufficient steps’ under the guidelines and framework of MIFID II.

Contact us now to explore the current apps available within your EMS and how we can assist your current execution policy or technology mandate at otassales@otastech.com

The OTAS Intraday Screener app offers a fully configurable heatmap tool providing traders ‘at a glance‘ direction of where outliers sit on the pad, allowing them to immediately focus their attention on where it is most needed.
Embedded within a trading EMS it provides a recognizable systematic approach to order pad optimization, where each scenario analysis a trader wishes to perform is monitored in real-time, highlighting actionable opportunities and exceptions from the norm.

Each axis and chart annotation can be user-configured to suit distinct trading workflows, such as…..

Irregular Price & Volume Order Optimization

Screen an order pad for ‘action’ stocks where asymmetric behaviour in daily price performance and traded volume presents exception outliers for manual trader intervention.

  • Manage ‘high touch’ flow broken out by idiosyncratic daily share price performance from the open(x-axis)
  • Combine with disproportionate volume(y-axis) conditions to focus on highly liquid or harder to trade orders, vis-á-vis passive/aggressive strategy decision
  • Example Screenshot: Standard Life, Informa & St James Place all under-performing on well above average volume with WPP significantly outperforming.

In-Trade Liquidity Screening:

Optimise High Touch vs Low Touch flow, spread crossing and liquidity opportunities

  • Minute by minute lit market liquidity profiling relative to historic normalised ranges(x-axis.) Identify orders with above average liquidity and live trading opportunities Example: Shire, Diageo & Worldpay or conversely adjust to low liquidity trading indicators.
  • Current indicative price spread levels(y-axis) relative to normal. Exceptionally wide spread = execution cost impact from spread crossing, plus low liquidity  Example: Convatec.


Adjusting to Price Momentum changes:

Identify idiosyncratic returns from normal expected ranges.
Actively manage flow and adjust aggression based on rolling absolute and basket relative returns.

  • Highlight orders with abnormal positive or negative price behaviour from the market open(y-axis) and combine with short term momentum compared to peers(x-axis.) Also assess traded volume for trend analysis and intraday mean reversion potential.
  • Examples: Sainsburys Extreme basket relative under-performance over last hour on lower than normal volume = potential Mean Reversion 
  • Capita – Significantly low absolute return from open, excessively high trade volume, negative one hour basket relative return = probable Trend Continuation 
  • Schroders & Merlin– Unusually low absolute return from open, excessively high trade volume, strong positive one hour relative performance = potential Trend Reversal or Continuation

Intraday Screener is just one of a suite of bespoke real-time trading applications we have created to help Global Trading desks provide a systematic approach and facilitate ‘sufficient steps’ under the guidlines and framework of MIFID II.

Contact us now to explore the current apps available within your EMS and how we can help your current technology mandate at otassales@otastech.com

Often traders are asked to provide ‘colour’ or identify reasons why stocks are behaving idiosyncratically during a trading session and what the possible catalysts are. Newsflow is clearly one of the key elements behind daily performance but that doesn’t always offer a full quantifiable picture of intra-day flows or other potential investor sentiment driven reasons.

The combined analysis provided by OTAS Alerts, Microstructure and Core Summary offer users much more granularity and content than just simple commentary of corporate news headlines, as is demonstrated in Vodafone Group today.

The Alerts Overlay function on the Return chart above provides a sequenced timeline of events and abnormal behaviour in a stock’s microstructure.
Significantly for Vodafone, two exceptionally low Return alerts fired in red this morning highlighting large under-performance on both an absolute(R) and basket relative(B) basis. Our model indicates Vodafone shares do not typically encounter moves like this intraday and are highly irregular. Statistical outliers in performance such as these can be used to trade more effectively by identifying potential areas of support or inflection.

The most likely reason for the underperformance can be explained by the other alert flag on the return chart. At 8.07am an exceptionally large Dark/Offbook trade printed in 10.55m shares, it was OTC printed through BATS/CHI-X Offbook reporting exchange. The subsequent absolute and basket relative share price performance gives a simple indication on the direction of the trade and the impact of the risk unwind.

The clues to the motivation behind the trade may well lie in the Core Summary detail. For example, this will quickly inform users of the most recent newsflow and any upcoming Events. Vodafone provides a Sales Release in 2 days

 

 

 

 

The Liquidity tab embedded within our real-time Microstructure application provides traders with a range of key volume forecasts for the current trading session including estimates on important high ‘natural’ liquidity events like the closing auction. The forecasts update dynamically with reference to historic volume and current live market conditions and provide:-

  • Pre-trade volume fragmentation analysis for modelling P.O.V and VWAP strategies
  • Closing auction volume estimates for risk unwind to avoid carrying unwanted positions overnight
  • Assessing liquidity, impact and feasibility of Market on Close orders.

The current Day Total forecast volume can be immediately compared to the recent 30 day historic mean average in the Microstructure charts and accompanying legend to establish whether the stock is expected to trade heavy or light relative to normal.


Traders using the OTAS Schedule component are also offered forecast participation rates over a range of short term trading periods in view of completing an order ahead of its optimal schedule. The key benefits here are:-

  • Provides statistical evidence of potential impact on ‘must be completed’ order execution instructions.
  • Allows traders to visualise the best strategy approach and evaluate participation rate from the time the order is received.
  • Calculates your total order size as a percentage of remaining forecast volume still to trade on the day.