PropdeskTraders.com

7 months since launching our prop-grade algo 🚀 Delivered 19.86% in just 7 months — ~34% annualised, despite a tough market. 📊 Funds scaled 11x 📈 Consistent performance 📉 Controlled drawdowns ⚙️ Fully systematic From test phase to serious scale. Just the beginning — more statistics in the comments. 📍

@sni6pe We run 30+ strategies on expiry days. Some strategies include re-entry setups, while others focus on capturing single, clean moves

@propdesktraders @propdesktraders Whats the criteria for closing the losing legs. What happens if Reversal, again reentry ?

Intraday P&L: ₹4,23,476 ROI: 2.11% Base Capital: ₹2 Cr This was shaping up to be an easy ~6% day. However, we couldn’t deploy our buying strategies due to algo platform and market order execution issues. That said, strong performance from the selling side helped us close the day well. Days like this actually validate the strength of our buying strategies — even when we couldn’t run them.

@flappybird2344 We trade only on intraday trading. Positional trades are not suitable for controlling drawdowns. No overnight risk—ensuring peace of mind and better sleep.

@propdesktraders Is it only intraday? How much intraday and positional?

7 months since launching our prop-grade algo 🚀 Delivered 19.86% in just 7 months — ~34% annualised, despite a tough market. 📊 Funds scaled 11x 📈 Consistent performance 📉 Controlled drawdowns ⚙️ Fully systematic From test phase to serious scale. Just the beginning — more statistics in the comments. 📍

Final trading day of the financial year closed in a loss. Intraday P&L: ₹-2,09,514 ROI: -1.05% Base Capital: ₹2 crore However, the month, quarter, and full year ended on a positive note.

Algo tried everything to recover the day but couldn’t handle the volatility. Booked a minor loss. Intraday PnL: -₹71,737 ROI: -0.36% Base Capital: ₹2 Cr

Zig-zag day. Booked portfolio loss and exited. One setup showed strong potential—moved up to 1:8 RR, but reversed sharply and hit stop loss. Intraday PnL: -₹2,53,578 ROI: -1.27% Base Capital: ₹2 Cr

Intraday PnL: ₹3,70,649 ROI: 1.85% Capital Deployed: ₹2 Cr Algo continues to capture direction efficiently — profits booked despite overall market weakness. Looks like best quarter of the financial year.

Stop-loss hunts with heavy slippage today. One by one, all algos got triggered—eventually hitting portfolio SL as well. Intraday PnL: -3,54,900 ROI: -1.78% Capital Used: 2 Cr Part of the game—reset and move to the next session.

Running five strategies that all go long when the market rallies is not diversification, it is concentration with extra steps. True diversification means your strategies have different triggers, different holding periods, and ideally different responses to the same market condition. When one is in drawdown, another should be flat or positive. If all your systems bleed on the same day, you do not have five strategies, you have one strategy wearing five masks. Check your correlation before you check your returns.

It’s *.21%

Intraday PnL: ₹45,343 ROI: 0.42% Base capital: ₹2 Cr Perfect M-shape in the market today. Patterns like this are usually difficult for our setups to extract money from. However, good premium and time decay helped in closing the day with some profits. Happy to exit green. 🙂

Learning and upgrading ourselves with insights from experienced traders. #face2facegoa

Stop losses and slippages today. Intraday PnL: -61,467 ROI: -0.31% Base Capital: 2 Cr Small losses are part of the process. Just steps before the next win.

@ProBro2828 Making around 35% is possible with aggressive positional trading, but it comes with huge drawdowns. Okay to try with 1–2 lots, but not really suitable for serious capital.

@propdesktraders Exactly what I have been saying. All positional traders are basically sitting on dynamites. I am yet to see a positional only option seller who consistently makes 35% or higher a year.

Feeling for those who shorted puts in stocks ,indexes and calls in crude oil last week. Crude oil was extremely risky — in many cases there were no counterparties to square off positions. Positional trading in the Indian market is not a scalable business, especially when managing large capital.