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@howutrade

Trading Software Development [email protected] Tweets are intended for educational and informational purposes only. No Investment Advice.

Thanjavur, India Katılım Mart 2017
13 Takip Edilen4.4K Takipçiler
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Howutrade
Howutrade@howutrade·
Running an un-attended automated trading system in window servers is a difficult task for most users. Most of the default settings result in automation failure. Here are a few system settings to run your automated trading systems seamlessly in windows servers.
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NSE India
NSE India@NSEIndia·
Nanoseconds.  That’s the new standard at the NSE.  Faster execution. Stronger infrastructure. A more resilient India. The wait is over. The nanosecond revolution has begun.  #NSE #NSEIndia #Speed #NSERespondsinNanoseconds.
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Howutrade
Howutrade@howutrade·
You can check whether IPv6 is enabled and determine which IP version is preferred for connection using: howutrade.in/testip/
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Howutrade
Howutrade@howutrade·
Excel VBA Crash After Moving File? Fix 👇 Workbooks store compiled VBA (P-Code). Move across PCs → it can break. 👉 Macros crash even if file opens fine. Fix: Alt+F11 → small edit → Compile → Save Always recompile after moving files. Read: howutrade.in/2026/04/07/why…
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Nithin Kamath
Nithin Kamath@Nithin0dha·
People keep asking me if AI can help them make money from trading. My honest answer is not really. As long as there's a human in the loop, you're still dealing with the same creature driven by fear and greed, and that human will keep making the same mistakes. But beyond psychology, there's a bigger problem. There's no real informational edge left in markets. The odds are that everything is priced in. And even when it isn't, operating under that assumption is almost always a good idea. The people actually making consistent money in markets are high-frequency trading firms, market makers, prop desks etc that have built infrastructural and data moats over years, with significant investment of time and capital. Those are real edges. So, where does AI actually fit? It's a tool to help you behave better. Not to generate alpha. What it can do is help you build and test strategies, then execute them systematically, removing emotion from the equation. That means fewer panic sells, less revenge trading, and more consistency. What it can't do is turn a bad strategy into a good one or create a magic money tree. This is still an edge, just a different kind. AI can make you more disciplined, but not smarter. And if you think about where most trading losses actually come from, that distinction matters more than people realise.
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ChokS
ChokS@_botany02·
Most Common Retail Trader Behaviours EMOTIONAL • FOMO (Fear of Missing Out) • Greed (Overstaying the Trade) • Fear (Premature Exit / Avoiding Entry) • Loss Aversion • Revenge Trading COGNITIVE BIASES • Confirmation Bias • Anchoring Bias • Short-Term Memory Bias (Recency Bias) • Herd Mentality • Overconfidence Bias (After Wins) RISK & EXECUTION ERRORS • Excessive Leverage • Over Position Size • Averaging Down (Ego Averaging) • Over Trading • System Hopping
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ChokS
ChokS@_botany02·
“It never happened before” is not a risk plan. Markets move to take liquidity, not to respect history. Never trade infinite risk.
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ChokS
ChokS@_botany02·
Charges: The Silent Account Killer Most traders don’t lose to the market — they lose to charges. 1. Just to cover govt/exch fees, you need 8.94% returns. 2. To cover brkg, the required return ranges from 15.12% to 0.1%, depending on trade size. 3. With a trade size of ₹100000, you must make ~20.04% just to break even on brokerage and charges. Before thinking about profits, the market first asks for its cut.
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ChokS
ChokS@_botany02·
Impact of Trade Size on Brokerage & Returns Brokerage breakeven isn’t fixed — it drops as trade size increases. 1. With a ₹10000 trade size, you need ~15.12% returns just to cover brokerage. 2. At ₹100000, the required return falls to ~10.08%. 3. At ₹200000, it drops further to ~5.04%. Same brokerage. Different trade sizes. Your cost efficiency improves only when size increases.
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FFmpeg
FFmpeg@FFmpeg·
We would like to thank @Nithin0dha for the $100k donation to FFmpeg (pending)! While this does not solve the funding problems behind FFmpeg and Open Source in general, it's a step forward to a sustainable future for Open Source Software.
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Howutrade
Howutrade@howutrade·
Why Static Variables Are the Heart of Excel-Based Trading Systems? Static variables give your Excel VBA trading system state memory. They allow it to remember — between ticks, between recalculations, between events. howutrade.in/2025/10/24/why…
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Howutrade
Howutrade@howutrade·
Zerodha has announced the beta launch of its Disaster Recovery (DR) platform for major outages. During such events, users will now be able to exit their positions via WhatsApp. More details here: tradingqna.com/t/emergency-ex…
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ChokS
ChokS@_botany02·
@Nithin0dha At last, the real reason gets mentioned - Charges and Levies.
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ChokS
ChokS@_botany02·
Simply put, high charges and levies are what drain liquidity in the cash and futures markets — nothing else
Nithin Kamath@Nithin0dha

Securities Transaction Tax (STT) is the biggest tax that traders pay, and it's much higher than brokerage fees. At Zerodha, the STT we collect and pass on to the government is higher than the brokerage we earn. Trading volumes are highly sensitive to the STT. The level of STT also affects whether traders trade more in cash equities, futures, or options. There's a lot of concern that Indian options volumes have exploded; I don't think it would be a stretch to say that STT is a big factor in this. Until 2008, the STT on options was based on contract value, making it impossible for anyone to trade options. After that, STT was charged on the premium, and options became more cost-effective compared to futures, and volumes shot up. By the way, the idea of @zerodha came about when the STT for options was brought down to a premium value. The bet was that people would trade more options. It did play out the way we had thought it would. 😬 We've had several STT changes over the years. This has had a more significant impact on cash and futures than on options because STT was on premium value, and on cash/futures, it was on total value. And yes, the introduction of weekly expiry and restriction on intraday leverage for stocks added a lot of fuel to the fire of option trading volumes. So yeah, I wish we had no STT, but I guess that's not a solution. 😃 But if STT were brought down for cash and futures and intraday leverage were increased (from the minimum 20% now to as much as futures), I think the trading volumes in cash and futures would automatically go up. It is a much better strategy to increase cash/futures volumes than to reduce trading volumes in options.

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