S Patel

After dealing with brokerages, taxes and slippages, not many intraday systems perform well. And the few that overcome these trading costs to be profitable in backtest are screwed in live trading because of bad brokers. Select your broker wisely.

@kotakneo Hello, I deposited 100000 to Kotak from my bank..Money is deducted but it's not showing under Kotak Funds..

@vivbajaj Also blame Manmohan Singh and Nehru, but not current govt..👏

He is the one who introduced STT in 2004-05 and now he is giving gyan

@JigneshTrade But what if they are operating from GIFT city??

The STT hike hurts HFTs 10x more than retail algos. It destroys the business model of bots that front-run order flow for pennies. Once that predatory churning stops, the market becomes somewhat fairer for retail strategies. #NirmalaSitharaman #Budget2026 #StockMarketCrash

@kirubaakaran And 75k followers isn't just a no.; it’s a responsibility. Using the 'smart enough' excuse was the same script used to sell tobacco and betting apps: 'I just show it, they choose to use it.' If you’re leading the way, you’re responsible for the destination. Own your influence.

@kirubaakaran DYOR (Do Your Own Research) is a convenient shield for influencers. This isn't about your followers being smart, it’s about social proof. When you validate high-risk gambling to 75k people, you aren't just 'sharing content'. You’re providing the bridge. (1/2)

Just started exploring Polymarket, find it interesting. The one who understands the probablity well, have good chance of making decent returns, but many will go broke looking at the reward instead of focusing on probablity. Polymarket is what happens when prediction markets meet crypto. In the coming days, will explore more.

@kirubaakaran The reality is platforms like these are designed to be addictive and volatile. You might not be 'leading them into a trap,' but you’re certainly opening the door and pointing the way. Won't debate with you further. It's just that with such high following u shld b more careful.

@kirubaakaran Whether you're getting paid or not isn't the point. Using your influence to lead people into high-risk platforms is still a "promotion," and it’s reckless. If they don't understand the risks, you're leading them into a trap, sponsored or not.

@AlgoPatel Just stop assuming everything we don’t understand as promotion/scam. I don’t get paid for these tweets, it’s a $9 billion company, who is least bothered about my tweets on Polymarket.

No matter how hard I try, I just can't seem to build systems that consistently deliver more than 30-35% returns without leverage in the cash market. I know it's actually solid, but damn, that greed for higher returns never shuts up. Any fellow system traders feel this?

@A_K_Mandhan I understood it when I visited Srilanka..If Srilanka can have such good roads then India mai to fir scam hi chal raha hai..

90% of Indians will never Travel to to Dubai , Hong kong , china Vietnam and Thailand so they will never know the Fact that How much Indian authority are SCAMMING them for Just Basic Inrastructure and Human Safety

@zerodha Facing issues squaring off trades..

@Nithin0dha I think there should be addition to this feature that if loss crosses certain amount all trades are squared off and kill switch is activated and no trades allowed for the day..

The other common trading mistake I have seen over and over again in all my years of being a trader and running a brokerage is over-trading and revenge trading. Sometimes, the best trade is the one you don't take. This is why we launched Kill Switch. If you get the urge to keep trading, you can enable it, and you won't be able to place trades for the rest of the day. See the link in the comments to know how to use it. @NikNifty

@quatltd How much drawdown??

Had to pause my stocks algo after trading since 2019 (~6 yrs). Past 3 months: nonstop losses. None of my patterns worked at all. Taking a break. #TradingBreakForStockAlgo

@quant_wizard Universe: Nifty 500??

+1.2% #algotrading #adanipower #atgl #adani group FTW 😅

@GoldenDustbin Will DM you..

@AlgoPatel "Also test few execution strategies" Do you have any key words or idea suggestions I could dig deeper into?

Formulate idea --> Design the rules --> Validate the rules --> Automate the rules Only 1 month turnaround time from step 1 to step 4 all thanks to AI. Taking a forward step in my push to overcome regulatory risk Uncompounded returns curve with 100% account size utilized in pic

@GoldenDustbin Slippage of 0.12% is more than enough. Also test few execution strategies. This will bring down the slippages further..

System metrics (post costs and slippage): - expectancy 0.16 - win rate 38.25% - calmar 2.1 - average annual return +78% - max DD ~37% Costs modeled (for futures segment): - Round trip slippage: 0.12% - Brokerage & transaction charges as per Zerodha brokerage calculator.

@AlphaWizarDD R

Same rule backtested on Two different Index- perform much better than buy & hold with Max DD below 10% [Handled Covid 2020 fall of more than 30%]- [1] Nifty 50 [2] Nifty Mid cap [1] Nifty 50 Trading Stats:- Initial Capital: ₹10,00,000 Final Equity: ₹34,20,467.65 Net Profit: ₹24,20,467.65 Period: ~6.7 years (Jan 2019 – Sept 2025) CAGR: ≈ 20.2% per year Max Equity Drawdown: ₹1,50,416.45 [2] Midcap Nifty trading Stats: Total Trades: 596 Wins: 346 Losses: 250 Win Rate: 58.1% Net Profit: ₹27,94,072 Final Equity: ₹37,94,072 (Starting with ₹10L) CAGR : 43.9% Max DD : 1,49,116 Period: ~3.66 years (Jan 2022 – Sept 2025) Backtested on Tradingview screenshot attached below.- [1] First Screenshot- Nifty 50 return [2] Second screenshot- Midcap Nifty Return [3] Third Screenshot- Brokerage For Trading Rules and complete backtested report- Drop a comment: R I'll DM you the full report alongwith trading rules.

@GoldenDustbin The good thing for me is I started with intraday stocks & then diversified with daily/weekly strategy.. The returns will come down, but even without leverage intraday stocks system steadily generates 35-40% returns. But the equity curve was pretty smooth with daily/weeklies.

All good things come to an end... Although the relatively new good may not be as good as the old good, it is still the best good as the newer good may not be as good as new good. Got to be grateful for what we have at present and make the best use of it as if there's no tomorrow

@GoldenDustbin Curve Fitting..

You backtest 200 stocks with uniform generic rules long + short, 1.2L trades over 10.5 years The top performers (say 'n' stocks) have consistently done well across years both long and short. Would it be curve fitting to trade only those 'n' stocks in live market?

@GoldenDustbin How much is decent performance according to you?

The more I backtest searching for decent good intraday stock algos the more I realize I've been fed easy money with theta decay in 0DTE option selling. My dustbin is getting filled up fast with backtest report of variations of ideas shared in youtube videos