AlgoTrader_Piyush @algotradepiyush
I m Developing and Testing #OptionBuying Algo for #BankNifty & #Nifty50 (IntraDay )⏳ Python Enthusiast 🐍 | Exploring AI & ML Mumbai Joined August 2023-
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🚨 #H1B Shockwave 🚨 With Trump’s $100K visa fee, experts warn: ⚠️ 75,000+ Indian tech jobs in the U.S. could vanish in the next 12–18 months. ➡️ Renewals hit hardest ➡️ Mid-level roles at risk ➡️ Work shifting back to India/Canada at lower pay #Jobs #Layoffs #Tech #Immigration
#SEBI is squeezing retail traders out of FnO: 1. Forcing discount brokers to hike fees. 2. Spiking STT, leading to higher trading losses. 3. Increasing lot sizes, making small option sellers into buyers. 4. FnO will be controlled by big players, sidelining most traders
#SEBI if retail volume was increasing then what was the need to bring daily weekly option . Now capping them for big players only. Changing policies almost every month put questions on credibility of Regulatory bodies. #optiontrading
Day 9 : Live Paper Trading of #OptionBuying Algo "FREEDOM" Index: #banknifty NetProfit = TradeProfit - TransactionFees Total No of Trade: 12 Lot size: 10 MaxProfit : 4462 | MaxLoss = -1725 MaxDrawdown: 3253.00 #algotrading #trading #nify #OptionsTrading
Day 8 : Paper Trading of #optionbuying Algo "FREEDOM" Index: #banknifty NetProfit = TradeProfit - TxnFees Total Trade: 11 LotSize: 10 MaxProfit : 2769.8 | MaxLoss = -3866.5 MaxDrawdown: -6636.36 #algotrading #trading #pnl #intradaytrading #optionbuying #Optionselling
Day 7 : Paper Trading of #OptionBuying Algo "FREEDOM" #banknifty NetProfit = TradeProfit - TransactionFees Total No of Trade: 11 Lot size: 10 MaxProfit : 3652 | MaxLoss = -1016.91 MaxDrawdown: 3824 #algotrading #trading #pnl #intradaytrading #OptionsTrading #Options
Day 6 : Live Paper Trading of #OptionBuying BOT "FREEDOM" Index: #banknifty NetProfit = TradeProfit - TransactionFees Number of Trade: 8 Lot size: 10 MaxProfit : 3486 | MaxLoss = -1991.91 MaxDrawdown: 5478.00 #algotrading #trading #pnl #intradaytrading
Day 5 (Delayed) : Live Paper Trading of #OptionBuying Algo "FREEDOM" #banknifty #TnxFees: as per #Zerodha charges NetProfit = TradeProfit - TransactionFees Total No of Trade : 10 Lotsize : 10 MaxProfit : 2551.48 | MaxLoss = -583.29, #Drawdown : 3123 #algotrading
Day 4 : Live Paper Trading of Option Buying Algo "FREEDOM" Index : BANKNIFTY Brokerage and Fees : as per Zerodha charges Net Profit = Trade_Profit - Fees Total Trade : 27 Lot size : 10 Max Profit : 4870 , Loss = -1851
Day 3 Option Buying Algo live paper trading Max_Profit :12800 Max_Loss : -936 will optimize this algo in coming days .
Day 2 of Option Buying Scalping Python Algo: My First Live Trading exp: 1. Algo Executed 24 buy/ sell live market orders over fyers api . 2. Dived deep into spread analysis, syncing entry and exit. 3. Code execution on AWS is good. Made first Loss but its part of this game !
Day 1: Live Paper Trading Options Buying 🚀 Update on trades: Counts ..Profit Trades -7 Loss Trades - 5 , got lucky its all probability game .
📈 Day 1 of testing my Options Scalping Algo in paper trading! 🤖 After 6 months of development, I'm excited to see how it performs. Crossing my fingers for optimized results in the coming months! 🤞 #AlgorithmTrading #OptionsTrading #PaperTrading #FingersCrossed
From this First post , I am starting my trading journey with Python for Algo scalping and discretionary trading using my custom made tool. Excited to navigate the markets and learn along the way! 📈💻 #Trading #Python #AlgoScalping
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