My Algo Trading Journey – Daily Updates, Strategies & Learnings
Follow my real algo trading journey as I share daily updates, trading strategies, PnL summaries, and lessons learned from live market experiments. 100% transparent and data-driven.
🗓️ November 10, 2025
💰 Capital: ₹40,000
🏛️ Exchange: NSE
📊 Status: Loss
💸 PnL: -120.98
Summary
Today was the initial deployment phase of my algo trading system.
The strategy ran partially — a few stocks executed through limit orders, while others failed due to capital allocation issues. Some positions did not auto-exit as planned, so I had to manually square off all trades before market close.
Improvements
- Replaced limit orders with market orders for smoother entry execution.
- Adjusted the script to auto-execute all stocks based on strategy logic immediately when the market opens.
- Planning to refine capital distribution and error handling for partial fills.
🗓️ November 11, 2025
💰 Capital: ₹60,000
🏛️ Exchange: NSE
📊 Status: Profit
💸 PnL: +1,813
Summary:
I deployed my code early in the morning — all stocks executed successfully at 09:15 AM using market orders and squared off automatically at 03:15 PM.
The system ran smoothly without any errors, indicating that the execution, threading, and exit logic worked as intended. This is a strong starting point for scaling and adding performance metrics in upcoming sessions.
🗓️ November 12, 2025
💰 Capital: ₹60,000
🏛️ Exchange: NSE
📊 Status: Loss
💸 PnL: -368.72
Summary:
The system encountered an unexpected interruption today.
During live trading, the code stopped mid-session, triggering the exception handler, which immediately closed all open positions to prevent further exposure.
As a result, all trades were exited prematurely during trading hours, leading to a small loss for the day.
🗓️ November 13, 2025
💰 Capital: ₹60,000
🏛️ Exchange: NSE
📊 Status: Profit
💸 PnL: 368.17
Summary:
A smooth trading day — the system executed flawlessly from entry to exit without any interruptions.
The bearish stocks performed well, giving clean downside moves that contributed positively to today’s PnL.
Most of the bullish shortlisted stocks remained in a rangebound zone, which limited upside potential, but the bearish trades compensated effectively.
🗓️ November 14, 2025
💰 Capital: ₹60,000
🏛️ Exchange: NSE
📊 Status: Loss
💸 PnL: -386.10
Summary:
A slightly negative day for the system.
🗓️ November 17, 2025
💰 Capital: ₹60,000
🏛️ Exchange: NSE
📊 Status: Loss
💸 PnL: -960.40
Summary:
A tough day — not because of market movement, but due to a system interruption.
The code stopped running in the middle of the session without restarting automatically.
Since there was no active exit logic, all open positions were auto square-off at 3:20 PM, which resulted in ₹700+ penalty charges from the broker.
🗓️ November 18, 2025
💰 Capital: ₹60,000
🏛️ Exchange: NSE
📊 Status: Loss
💸 PnL: -4.79
Summary:
Most shortlisted stocks showed no clear trend, and price action stayed within tight ranges.
Took a Break
🗓️ Dec 03, 2025
💰 Capital: ₹60,000
🏛️ Exchange: NSE
📊 Status: Profit
💸 PnL: 359.04
Summary:
Changed the strategy a bit, rest execution remains same.
