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. 📍
Algo attempted to capture gains through option buying but ended up loosing profits on the selling side.
Intraday PnL: -54,164
ROI: -0.28%
Base Capital: 2 Cr
Execution by @AlgoTest_in
50:50 cash vs cash equivalent is honestly one of the most pointless rules you see in India.
Across global markets, derivatives trade just fine without forcing this kind of split. Liquidity is encouraged, but not forced in such a rigid way.
Even otherwise, linking cash requirements to portfolio VaR is a far more logical approach.
If someone is just holding something like Nifty BEES, asking them to park 50% in cash makes no sense, it’s just inefficient use of capital.
@Deltatrader99@AlgoTest_in We use multiple platforms, but recently we’ve started relying more on AlgoTest and are actively migrating accounts to it. Over the past year, AlgoTest has consistently delivered strong execution results.
Market dipped early, gave good hope, but later reversed and hit a few stop losses.
Still managed to close the day in profit.
Intraday PnL: 143,605
ROI: 0.71%
Base Capital: 2 Cr
Powered by @AlgoTest_in
I am a client of @NirmalBang and I have faced a shocking case of UNAUTHORIZED TRADING in my account.
My own Relationship Manager misused access and caused a loss of ₹2,16,000.
Thread 👇
Another volatile day, another hit.
Intraday PnL: -₹1,53,026
ROI: -0.77%
Capital deployed: ₹2 Cr
Days like these are part of the game — risk managed, discipline intact.
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.
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.