Algorithmic trading
FX algo users change tack to navigate market doldrums
BestX data finds traders ditching TWAP in favour of more opportunistic execution styles
Slicing algos blamed for market impact on dark venues
Fragmented markets contribute to sixfold jump in possible price moves
Deutsche Börse building equities dark pool
Move comes hot on heels of Euronext launching its own dark pool
How AI can give banks an edge in bond trading
Machine learning expert Terry Benzschawel explains that bots are available to help dealers manage inventory and model markets
AI expert warns of algo-based market manipulation
Regulators must keep pace with new technology that could be used to control financial markets
The cost of mis-specifying price impact
Expected returns can be significantly affected by the wrong use of impact models
Will generative AI crack the code for bank tech teams?
Banks could roll out tools to help translate old – or write new – code within months
LMAX taps real money clients with Cürex deal
Acquisition aims to offer liquidity providers diverse flows from asset managers
Measuring expected cost models on large FX trades
BestX study assesses factors influencing algo performance on trades over $100m in size
Assessing the potential profitability of automated power market trading using event signals sourced from grid frequency data
The authors put forward a profitable trading strategy based on power grid events, demonstrating that minimized reaction times can increase profits.
Better tech brings threat of two-speed trading in fixed income
Smaller asset managers may get left behind as automation allows the big players to prosper
All-to-all no panacea for Treasury liquidity
Traders fear push for equity-style market could be detrimental to off-the-run securities
Electronic FX swaps execution advances on 360t
Sun platform could help banks auto-hedge and develop algo execution for the instruments
Why GTS bought HC Tech’s FX business
Rubenstein and Rosenwald open up on reasons for the deal – plus US lawsuit and culture questions
How patchy liquidity is stymieing systematic credit
…and what investors like AllianceBernstein, Man Numeric and Acadian are doing about it
Flow Traders bullish about threat from big banks
Talking Heads 2023: Non-bank market-maker remains confident of its edge in small-ticket corporate credit
Exploiting causal biases in market impact models
Model calibration gains efficiency by including biased but adjusted trading data
Getting more for less: better A / B testing via causal regularisation
A causal machine learning algorithm is used to estimate trades’ price impact
Plugging the leaks in skewed pricing
Liquidity recycling has made it trickier for LPs to identify information leakage
Why NDF execution algos might still hit the spot
Products have yet to live up to initial hype, but their long-term potential for investors remains significant
Equity traders ticked off by SEC price increment plan
BlackRock and Citadel Securities push back on minimum price increments for OTC equities trades