Mesoblast Ltd

Mesoblast Ltd (MESO) News & Events

$17.440

-0.710 (-4.07%)At close

MESO News

MESO Events

8/26 09:00

Liquid Option Borrow Rates Rise, Live Microsystems Hits 209.67%

Latest data shows the largest indicative borrow rate increases among liquid option names include: Rezolve AI Ltd (RZLV) 14.95% +1.30, iShares High Yield Corporate Bond ETF (HYG) 1.90% +0.77, DEFIANCE DAILY TARGET 2X LONG RIOT ETF (RIOX) 18.41% +0.65, Live Microsystems (LVWR) 209.67% +0.40, Mesoblast (MESO) 10.60% +0.35, Blaize Holdings Inc (BZAI) 17.79% +0.32, T-REX 2X LONG NVIDIA DAILY (NVDX) 16.43% +0.32, Defiance Daily Target 2X Long RGTI ETF (RGTX) 30.68% +0.31, A2Z Cust2Mate Solutions Corp (AZ) 1.41% +0.29, and Tradr 2X Short SNDK Daily ETF (SNDQ) 42.49% +0.28.

8/19 09:00

Largest Indicative Borrow Rate Increases Among Liquid Option Names

Latest data shows the largest indicative borrow rate increases among liquid option names include: iShares US Medical Devices (IHI) 2.23% +0.56, Globant (GLOB) 1.08% +0.48, iShares Global Clean Energy (ICLN) 14.77% +0.46, American Resources Corp (AREC) 13.38% +0.22, Critical Metals Corp (CRML) 14.44% +0.21, GRANITESHARES 2X LONG MRVL DAILY ETF (MVLL) 14.13% +0.19, Mesoblast (MESO) 9.18% +0.16, iShares Silver Trust (SLV) 0.41% +0.16, Chevron (CVX) 0.41% +0.16, and Visa Inc (V) 0.41% +0.16.

7/28 09:00

Significant Increases in Borrow Rates for Liquid Option Names

Latest data shows the largest indicative borrow rate increases among liquid option names include: Tradr 2X Short SNDK Daily ETF (SNDQ) 42.53% +1.30, SpendSmart Networks Inc (SSPC) 17.87% +1.00, Mesoblast (MESO) 7.48% +0.64, TSLR ETF (TSLR) 7.72% +0.56, Direxion Daily Smal Cap Bull 3X Shares (TNA) 10.33% +0.54, T-REX 2X Long BMNR Daily Target ETF (BMNU) 8.36% +0.53, SPDR S&P Regional Banking (KRE) 1.93% +0.32, T-REX 2X INVERSE MSTR DAILY TARGET (MSTZ) 17.26% +0.31, Faraday Future Intelligent Electric Inc (FFAI) 11.76% +0.30, and GraniteShares 2x Long NOW Daily ETF (NOWL) 8.08% +0.26.

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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