
TradingAlgo
@Souvik131
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Coding my trade and trading my code :/
Mumbai
Joined January 2012
Dear desi brokers, what’s stopping you from building a trading terminal like this? #terminal #analytics
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Inspired by Chris, I ran a factor model on my own book. Interesting takeaways on what’s really driving pnl. #factormodel #nifty #portfolio 🎥 https://t.co/3YRMNklbKu
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Remember the drunken men? On the frontier, you will only find those portfolios with more weight to those who cancel out each other’s wild moves, making your ride smoother. And it gives less weight to the ones dancing in sync, since they only amplify the bumps. 10/n
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This is where the Efficient Frontier comes in. To get the best possible return for a given volatility, you simply pick a portfolio on the upper side of the curve. – Aggressive? Choose a higher-volatility point. – Conservative? Choose a lower-volatility point. Once you choose,
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What if we try different weight combinations of each stock and plot dots for the risk/return of every portfolio? On the chart, you’ll see a cloud of portfolios. And if you measure the Sharpe of each dot, some dots clearly have better Sharpe than any single stock. You’ll also
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Before we go ahead, let’s be clear about our goal. For a given level of volatility, what’s the maximum return I can make? In simple words: I’ll take risk only if I’m paid for it. And I want the best return for each unit of risk. This is called the Sharpe ratio. For
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So the real question: how do I size my investments to get max returns with the least fluctuations (or drawdowns)? To answer this, let’s take 10 stocks and look at their historical annual returns and how much each one fluctuates. That fluctuation is measured by standard
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One big reason people fail to build wealth is that they ‘get off the investment’ when times are bad. If you’re stuck with one drunk guy who had too much, you might land in the gutter with him, right? Jokes aside, if you want to stick around, your portfolio needs to give the
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If two stocks dance together → that’s positive correlation. If they take opposite steps → that’s negative correlation. And if they don’t care about each other → that’s no correlation. Now the real question: why is this dancing so important? 4/n
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In a group of 10 drunken men: – Some are good friends, dancing step for step together – Some don’t care about anyone else – Some take the opposite step from the crowd This is called correlation. Let me explain how it works… 3/n
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Stocks dance like a drunken man - up, down, up, down. And you never really know what this drunken man is up to. Now imagine several drunken men together, like your portfolio. Chaotic, right? So let’s understand how to make sense of that chaos. 2/n
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Does "diversification" really make you rich? Or is it just another buzzword experts keep throwing around? By the end of this thread, you’ll know everything about diversification. 🧵1/n
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~ jokes apart ~ gave me “one of the best trades” this month (at tiny size) ~ doubled cap on 10x lev, so clearly a genius 🤡 ~ ready to watch it screw me as I add size ~ wish me luck as I got none ~ now I am officially another degenerate crypto clown https://t.co/GTo5olzFO5
I have analyzed and backtested 5 years of Crypto data formulated a just-make-money strategy that yields an average return of 13% per month. Dm if you want PDF like & retweet https://t.co/j431gC1nt0
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🌍 Last 1-Year Asset Returns ₿ Bitcoin +97% 🇨🇳 China +58% 🇪🇸 Spain +46% 🥇 Gold +44% 🇸🇬 Singapore +37% 🇮🇹 Italy +36% 🇲🇽 Mexico +28% 🇰🇷 Korea +28% 🇹🇼 Taiwan +23% 🇺🇸 USA +19% 🇯🇵 Japan +16% 🇬🇧 UK +15% 🇦🇺 Australia +6% 🇧🇷 Brazil +3% 🇮🇳 India -6% Free indicator to track it 👇
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I have analyzed and backtested 5 years of Crypto data formulated a just-make-money strategy that yields an average return of 13% per month. Dm if you want PDF like & retweet https://t.co/j431gC1nt0
I have analyzed and backtested 5 years of Nifty monthly options data formulated a Positional strategy that yields an average return of 2–3% per month. Dm if you want PDF like & retweet #nifty
#sebi
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Indians paying 17% extra to buy Hong Kong ETF. Are we ready to declare these citizens anti-national yet? #ETFs
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Here’s why it works: The strike with the minimum CE+PE is closest to the actual future price. As the underlying moves, your ATM shifts gradually. No artificial spikes when strikes change, rollover happens smoothly. Try it and let me know if it worked. 🤝 5/n
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Here’s the right way: 1️⃣ Start with spot ATM strike 2️⃣ Go ±5 strikes (or more) 3️⃣ For each: CE + PE = straddle price 4️⃣ Pick the lowest, and that’s your true ATM No fake jumps when strikes change. 🥳 4/n
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So let’s calculate it. Weekly Future Price ≈ Strike Price + (CE Price – PE Price) You might think picking the strike closest to this price as ATM will solve it? Well, it might not. So, what’s the easy and robust way? 🤠 3/n
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