I used to spend my mornings jumping between four dashboards just to see what one position was doing. If you have ever stitched together a TradingView chart, a broker terminal, a portfolio tracker, and a Google Sheet to answer a simple question, you already know the friction. A fresh piece from Siliconindia puts numbers behind the frustration I keep hearing from traders: algorithmic trading has officially crossed half of all cash market turnover on India's NSE, hitting roughly 53.8% as of February FY25, up from about 17% back in FY11. Here is why that matters for anyone wiring up bots in crypto — the workflow itself is now the edge.
The signal keeps showing up outside our lane
Applied Industrial, a US industrial products distributor with nothing to do with digital assets, just printed Q2 CY2026 results that beat Wall Street — sales up 10.4% year on year to $1.35 billion, with GAAP profit of $3.17 per share, about 8.7% above consensus. CEO Neil Schrimsher credited "automation adoption, including physical AI integration" as a driver. That is the cross-market confirmation I keep seeing. When an old-line industrial distributor and a Mumbai exchange both put automation at the centre of forward guidance, the playbook is converging: automate the repeatable work, keep humans for the judgment calls.
What to actually check this week
If you have been meaning to tighten your own stack, three quick moves I would make:
- Tag every order, log every state. SEBI's February 2025 framework for retail algorithmic trading sets out how retail participants can use broker APIs and brings third-party algo providers under supervision, with safeguards including a unique identifier on every algo order above a set orders-per-second threshold and two-factor authentication. The same hygiene carries over to crypto — shared keys and anonymous fills are how routine audits turn into weekend outages.
- Run the loop more often. A piece circulating on Mshale this week references building, backtesting, and automating strategies with Claude AI alongside TradingView and AlphaInsider. The interesting part is not the model itself, it is that the idea → backtest → paper → live cycle is now cheap enough to repeat daily. We should be running that loop multiple times a week, not once a quarter.
- Watch the regional wrappers. TechBullion reports that Immediata Quantaro has rolled out an accessible route to AI-assisted automated trading in Italy. If you have been waiting for a friendlier European on-ramp, more localised shells around the same underlying models are multiplying fast.
What I am watching next
Three things, in plain English. First, whether the automation-order momentum Applied Industrial's management flagged actually holds — it is a useful proxy for whether "physical AI" hype translates into real capex or just slideware. Second, how SEBI's framework settles in for retail participants, because regulators tend to copy templates that survive contact with reality. Third, whether the Claude-plus-TradingView-style stacks mature enough to replace the patchwork of Python scripts most of us are still babysitting on a Saturday morning.
The lesson I keep landing on is simple. Automation has stopped being the feature you bolt on later. It is the design choice you make on day one — and the traders adapting earliest are pulling ahead. Same lesson, different market, every single time.