Investing · Algorithmic trading

Systematic investing.
Rule-based trading.

TradeTick is where long-term investing meets disciplined, algorithm-driven trading: strategies that run across intraday and overnight horizons, built on clear rules and strict risk management.

Overview

Two complementary activities

Capital is split between a long-horizon investment portfolio and an actively traded book run by algorithms. Each has its own goals, time frame and risk budget.

Investing

A long-term portfolio built to compound over years, not days. Positions are chosen deliberately and held through market cycles.

  • Horizon measured in years
  • Diversified across sectors and themes
  • Periodic review and rebalancing

Algorithmic trading

Systematic strategies that act on predefined rules, with execution, sizing and exits handled by code rather than emotion.

  • Intraday and overnight strategies
  • Every trade has a defined entry, stop and exit
  • Automated execution with live monitoring

Trading strategies

Algorithms across time horizons

Strategies are grouped by how long a position is held. Shorter horizons trade more often with tighter risk; longer horizons give trends room to develop.

Intraday
Same session

Intraday algorithms

Positions are opened and closed within the same trading session, so no risk is carried overnight. The strategies look for short-lived opportunities in price and volume, with strict per-trade and per-day loss limits.

  • Fully squared off before the market closes
  • Defined stop-loss and target on every entry
  • Daily loss cap that halts trading when reached
  • Rules-based entries; no discretionary overrides
Overnight
1 night

BTST

Buy Today, Sell Tomorrow. Positions are taken near the close and exited in the next session, aiming to capture overnight and opening momentum.

Days to weeks

Positional

Swing positions held across several sessions to capture a larger move, with stops set to tolerate normal day-to-day noise.

Weeks to months

Trend following

Systematically joins established trends and rides them for as long as they last, using trailing exits rather than fixed targets.

Approach

How strategies are built and run

Every algorithm goes through the same path from idea to live trading, and stays under continuous review once it is live.

01

Defined rules

Each strategy is written as explicit, testable rules for entry, exit and position size.

02

Backtested

Rules are tested against historical data before any capital is committed.

03

Risk first

Position sizing, stop-losses and daily limits are part of every strategy, not an afterthought.

04

Monitored live

Live strategies are tracked continuously, and performance is reviewed against expectations.

Contact

Get in touch

Questions about the strategies, collaboration or anything else? Send a message and I'll get back to you.

@krishnamoorthy
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