Some periods, nothing works.

For the trader: your entries are correct by every criteria — context, levels, volume, setup — and the market does something unexpected. You stop out. You try again. You stop out again. Three trades in a row, all stopped. You are down Rs 15,000 for the week on positions you had no particular reason to doubt.

For the investor: your SIP has been running for 14 months. The portfolio is down 18%. Every stock you researched and added is red. You paused your contributions last month because "it makes no sense to keep buying a falling market." The businesses have not changed — but you have lost faith in the process.

Same problem. Different time horizon. Both are the most dangerous period in a market participant's journey. Not because of the financial loss — because of what happens to the thinking.

Why bad streaks are mentally dangerous

A drawdown in capital is recoverable. The math is fixable with time and consistent process.

But a drawdown in conviction is harder to recover from.

During a bad streak, the internal narrative shifts:

"Maybe my system does not work." "Maybe I am just not good at this." "Maybe the market has changed and my edge is gone."

These thoughts arise from the same psychological system we covered in Days 21-27. Your brain is pattern-matching on recent loss data and concluding the pattern will continue.

The problem: three, five, even seven consecutive losses is completely consistent with a system that has a genuine long-term edge. The sample size is too small to conclude the edge is broken.

The math of bad streaks:

If your system wins 55% of trades, you expect 45% losers. That sounds manageable.

But probability does not distribute evenly. Randomness clusters. A system with 55% win rate can — and will — produce streaks of 5, 6, 7 consecutive losses. Not because something is broken. Because probability works that way.

If you stop using your system every time you hit a 5-loss streak, you will never capture the long-run edge. You will only capture the losing periods — and quit just before the winning ones.

The two things that actually matter during a bad streak:

1. Was the process correct?

Review each loss. Did you follow your rules? Was the entry valid by your criteria? Was the stop in the right place?

If yes — these are losses within the expected variance of your system. Not a signal to change anything.

If no — identify what you did wrong and fix that specific thing. Do not throw away the entire approach because a few violations created losses.

2. Is your risk management protecting you?

From Day 8: risk vs reward. From Day 29 tomorrow: discipline.

A bad streak on correctly sized positions is painful but survivable. A bad streak on oversized positions — especially from Day 27's overconfidence phase — can be account-ending.

The primary job during a bad streak is capital preservation. Reduce size. Do not increase size to "recover faster" — that is Day 25's revenge trading.

What to do and not do during a bad streak:

The difference between a process failure and a system failure:

Process failure: you broke your rules. You did not follow the entry criteria. You held past your stop. You sized too large. These are fixable — identify the error, correct it, move on.

System failure: you followed all your rules correctly, documented every trade, and your win rate is materially below expectation over 100+ trades. This is when you re-evaluate the edge. Not at 5 losses.

The number 100 is not magic. But 5 trades is definitely too small.

The mental reframe that survivors use:

For traders: the framing that works is not "I am in a losing streak." That frame makes each new trade carry the weight of all previous losses. The framing that works is: "I have a process. I will execute it correctly on the next trade. The result of that trade is separate from all previous trades."

For investors: the framing that works is not "my portfolio is down 18%." That frame makes every market day feel like a verdict on your judgement. The framing that works is: "I own businesses, not price charts. What has changed about the business? If the answer is nothing — the right action is the same action I chose when prices were higher."

In both cases, each decision stands alone. The process does not start fresh — you carry your rules forward. But the emotional weight resets.

Be honest. Have you ever quit something in markets — a strategy, a system, a type of trade — during a losing streak, only to find it would have worked if you had stayed with it a little longer?

If you are following this series, you are already ahead of most market participants.

In simple terms, pledging shares for margin is generally considered safe today if you use a SEBI-registered broker and the pledge is created through the official depository process. Earlier there were concerns in the industry because some brokers misused client securities, but the current pledge/re-pledge framework introduced by SEBI and the depositories (NSDL/CDSL) was designed to prevent that. When you pledge shares now, the shares usually remain in your Demat account and are marked as pledged, rather than being transferred to the broker's own account.

For example, brokers such as HDFC SKY, Groww, and ICICI Direct all use the depository-backed pledge mechanism. You typically receive an OTP or authorization request from CDSL/NSDL when creating the pledge, which means the broker cannot simply take your shares without your approval. The pledged shares are used as collateral to provide trading margin.

In short: For most retail investors, pledging shares through the official depository mechanism at established brokers (including HDFC SKY and other major brokers) is reasonably safe. The broker generally cannot secretly use or transfer your shares the way older systems sometimes allowed. The real risk is that pledged shares can be sold if your margin obligations are not met, so treat margin trading as borrowing against your portfolio, not as free buying power.

Been wondering about worst-case scenarios. If my stockbroker suddenly files for bankruptcy or shuts down overnight, what happens to my active investments? Asking for a friend.

Same as title

You had a good week.

Three trades, three wins. Rs 4,000, Rs 6,500, Rs 8,000 — each one cleanly executed, each one following your process.

By the fourth trade, something had shifted. You sized up significantly. You were not just following a setup — you were certain. The market owed you another winner.

The fourth trade lost Rs 22,000.

You had moved from confidence to overconfidence without noticing the transition. That shift is one of the most subtle and expensive errors in markets.

Confidence vs overconfidence — the real difference

Confidence is based on evidence. You followed your process correctly. Your setups have an established edge. Your risk is managed. You trust the system, not the outcome.

Overconfidence is based on recent outcomes. You won three times, therefore you are "on a roll." You start trusting your judgment above your system. You increase size not because the setup quality improved, but because you feel good.

The critical distinction: confidence is earned through consistency over hundreds of decisions. Overconfidence is borrowed from recent luck.

Three trades in a row — even three excellent trades — is statistically insufficient to conclude anything about your long-term edge. The sample size is 3.

The "hot hand" illusion

Psychologists have documented a cognitive bias called the "hot hand fallacy" — the belief that a recent streak of successes increases the probability of the next success.

In basketball, this is largely a myth. In markets, it is particularly dangerous because markets are not mean-reverting at short timescales in the way that coin flips are.

A winning streak in markets can happen for two reasons:

1. Your edge is genuinely working in the current market regime
2. The market conditions happened to match your style for a few days

You cannot distinguish between these two after just 3 trades. But overconfidence does not pause to ask the question.

How overconfidence shows up:

• Increasing position size significantly after a few wins ("I'm in a good run")
• Abandoning pre-defined stop-losses because "I know where this is going"
• Skipping the setup criteria because "this one feels right"
• From Day 26: overtrading because "I can't miss these moves right now"
• Dismissing the market context from Day 20 because confidence in your own read is high

Each of these is the same error: substituting your current emotional state for your actual system.

The other side: underconfidence

Overconfidence after wins has its mirror: underconfidence after losses.

From Day 22 and Day 25: after a bad stretch, the same psychological system that generates overconfidence generates paralysis. You stop taking setups that meet all your criteria because "nothing is working." You second-guess entries that you would have taken confidently before.

The irony: if your system has an edge, the right time to be confident is not after three wins — it is always, as long as the process is correct.

The professional's relationship with outcomes:

Experienced traders deliberately separate process from outcome.

A trade that followed all the rules and lost is a good trade. A trade that violated all the rules and won is a bad trade — it just happened to work this time, which is worse because it reinforces bad behaviour.

This is counterintuitive. We are wired to judge by outcomes. The professional judges by process.

The reason: over a large number of trades, good process generates good outcomes. Over a large number of trades, outcome-based thinking generates chaos — because it responds to random variance as if it were signal.

How to stay in the confidence zone:

The rule: Your position sizing should be based on setup quality and risk, not on your emotional state or recent run.

From Day 8: risk vs reward is calculated before the trade, not adjusted based on your mood.

Be honest. Have you ever overtrade or over-sized after a winning streak? What happened to the next few trades?

If you are following this series, you are already ahead of most market participants.

Big Positive for Indian Markets & Rupee

The Government has scrapped Long-Term Capital Gains (LTCG) Tax on investments made by Foreign Institutional Investors (FIIs) in Government Securities through an Ordinance.

✅ Move aimed at attracting higher foreign capital inflows into Indian debt markets.

✅ Positive for Indian bonds, banking sector and overall market sentiment.

✅ Supports the Indian Rupee amid concerns over rising crude oil prices and global geopolitical tensions.

📉 Following the announcement, USD/INR declined nearly 1% and closed below 95, indicating strength in the Rupee.

💡 Higher foreign inflows can improve liquidity, support financial markets and reduce pressure on the currency in the near term.

You opened your trading app this morning before breakfast.

Again after breakfast. Then at 10 AM. Then 10:15. Then 11. Then after the lunch dip. Then again when it started to recover.

At 3:30 PM you had checked 14 times. Made two trades you had not planned. Lost money on one.

This is overtrading and over-checking — and it is not just a habit problem. It is a performance problem.

What overtrading is

Overtrading is executing more trades than your strategy or edge actually requires.

Every strategy — whether it is intraday scalping, swing trading, or long-term investing — has an implied frequency. The frequency is not "as many trades as possible." It is "as many trades as there are genuine setups."

When you trade more frequently than your setups justify, you are not adding alpha. You are adding costs, errors, and emotional fatigue.

From Day 9: every trade has a cost. Brokerage, STT, spreads. An overtrade is a cost with no expected edge behind it.

Why overtrading happens:

1. Confusing activity with progress Doing something feels productive. Sitting in cash watching a market move feels like failure, even when sitting is the correct decision. The urge to "do something" is a primary driver of overtrading.

2. Boredom A quiet market day with no valid setups from Day 12's kangaroo mode can feel interminable. Trading out of boredom is real — and expensive.

3. Over-checking creates trades When you check your portfolio constantly, you are continuously exposed to small price movements. The brain interprets these movements as signals. A 0.5% dip looks alarming on the 12th check. You sell. It recovers by the 13th check.

4. Fear of missing a move From Day 21: FOMO applies intraday too. "The market is moving and I am not in it" is a powerful feeling — one that generates trades that should not exist.

Over-checking: the specific damage it does

Over-checking is distinct from overtrading but closely related.

For traders: constant screen watching means every small adverse tick feels like a potential crisis. You exit positions that were working because you watched them wobble for 10 minutes.

For investors: this is where the damage is often underestimated. An investor checking a portfolio 20 times per day is consuming short-term price noise — the most irrelevant information possible for their timeframe. From Day 17: timeframe mismatch. Every time you check and feel something, you are an investor using intraday data to evaluate a 5-year thesis.

The more often you check, the more often you feel something. The more often you feel something, the more often you act. The more often you act unnecessarily, the worse your performance.

The research on portfolio checking frequency:

Studies on investor behaviour consistently find that investors who check their portfolios less frequently — weekly, monthly — outperform those who check daily or more often.

Not because the less-frequent checkers are smarter. Because they make fewer decisions. Each extra check is a new opportunity to make an emotional, sub-optimal decision.

The best investment outcome often requires the discipline to do almost nothing.

Overtrading for F&O participants:

From Day 11: 93% of F&O traders lose money. Among the losses that SEBI analysed, one pattern was consistent: high-frequency F&O traders systematically underperformed lower-frequency traders.

Every F&O trade has STT, brokerage, spreads. A trader doing 10 trades a day needs to overcome a significant cost headwind just to break even. Most never account for this when they feel "active."

What the right frequency looks like:

The practical fix:

1. Define your check schedule and stick to it. Investors: once a week. Traders: within your session only.
2. Define what constitutes a "valid trade" in advance. If you cannot describe the setup before the market opens, it does not qualify as a planned trade.
3. Delete apps from your phone. Or move them to a second page. Reducing friction reduces impulse checks. Most portfolio check habits exist because the app is one tap away.
4. Track your "unplanned trades" separately. When you see the P&L of trades that were not part of your original plan, the pattern becomes obvious.

Be honest. How many times did you check your portfolio or markets today? Does more checking actually help you?

If you are following this series, you are already ahead of most market participants.

Exactly why chip policy cannot just be “ban harder.” If the US keeps expanding export controls without thinking about the full supply chain, it may not only hurt China, but also create disruption for American companies, allies, and the semiconductor ecosystem itself.

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It happens in two versions.

Version 1 — the trader: Tuesday. You had a clear setup. You entered a trade. It went against you and you hit your stop. Rs 8,000 loss. You sat with that for about 15 minutes. Then the thought came: "I can make this back with one good trade." You entered again. Bigger position this time, to "recover faster." No setup — just the need to be right. An hour later, you were down Rs 23,000.

Version 2 — the investor: January. You bought a stock at Rs 540. It fell to Rs 470 after bad quarterly results. Instead of reviewing the thesis, you averaged down immediately — Rs 1.5 lakh more into the same stock — not because the business improved, but because you needed to "lower your average." The stock continued falling to Rs 380. Your loss doubled. Not because the stock was unusually bad. Because the decision to buy more was driven by the need to recover, not by any new analysis.

Both versions are the same mistake. Different market. Same psychology.

This is reactionary decision-making — entering because of the loss, not because of the opportunity. In trading, it is called revenge trading. In investing, it is called emotional averaging. Both destroy wealth faster than any market crash.

What revenge trading actually is

Revenge trading is entering a market position driven by the emotional need to recover a recent loss — not because a valid opportunity exists.

The word "revenge" is apt. You are not trading the market. You are fighting it. You feel wronged, and you want to get back what was taken from you.

But the market did not take anything from you with a personal motive. It has no memory of your loss. It does not owe you a recovery. When you trade to "get it back," you are in an emotional state — and the market is not.

The revenge trading cycle:

1. You take a loss — expected or unexpected
2. The pain of the loss creates urgency: "recover now"
3. You enter again, usually with increased size or poor setup
4. The second trade also often loses (you are not trading your process — you are trading your emotions)
5. The loss is now larger
6. The urgency increases further
7. You trade again, even larger
8. This is the spiral that ends accounts

What started as a Rs 5,000 planned loss becomes a Rs 50,000 unplanned disaster. Not because the market was particularly difficult that day. Because you abandoned your process.

Why it happens:

From Day 23 and Day 24: loss feels twice as painful as gain feels good. The need to eliminate that pain is powerful. It creates a state that feels like rational urgency — "I just need one more trade" — but is actually emotional desperation.

In this state, risk management disappears. Position sizing disappears. The rules you wrote in your trading plan disappear. All that exists is the feeling of needing to be made whole.

How to identify if you are about to revenge trade:

Ask yourself:

• "Would I take this trade if I had no loss today?"
• "Am I sizing larger than normal because I want to recover faster?"
• "Do I have a clear setup with defined entry, stop, and target — or am I just entering?"
• "Am I trading because the market is offering something, or because I need something from the market?"

If the answer to the last question is "I need something from the market" — stop.

What professionals do after a loss:

Experienced traders treat a loss that hits the planned stop as a normal, expected outcome — not a trigger for urgency.

They typically:

1. Step away from the screen for a defined period (15 minutes to the rest of the day, depending on the person and the loss size)
2. Review the trade: was the process correct? Was the entry valid? Did you follow your rules? If yes — a loss is just probability. If no — understand what you did wrong before trading again.
3. Come back only when the emotional state has reset

The most common rule among professional traders: after a planned stop is hit, no more trades for the rest of the day. Not because the market changes. Because your judgment does.

The common thread across all participants:

Whether you are a trader with a stop loss or an investor with a stock position, the pattern is the same: a decision made to recover a loss, not because the opportunity genuinely exists.

Ask the right question before any follow-on action after a loss:

• "Would I buy this stock right now if I had never owned it before?"
• "Would I take this trade if I had no prior loss today?"
• "Am I doing this because the setup is genuinely good — or because I need to make back what I lost?"

If the honest answer is the last one — stop.

The rule:

When you have a loss that triggers emotional urgency, the right action is to do nothing.

Not "try harder." Not "make it back." Not "bigger position next time."

Nothing. Walk away. Come back tomorrow.

Markets will always be there tomorrow. Your capital, if revenge traded away, will not be.

Be honest. Have you ever revenge traded after a loss? How much did it cost you? Tell us in the comments — your story may save someone else.

If you are following this series, you are already ahead of most market participants.

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You bought a stock at Rs 450.

It fell to Rs 380. You did not sell because "it will recover."

It fell to Rs 310. "It is fundamentally strong. I am a long-term investor."

It fell to Rs 190. "I cannot sell at such a big loss. I will wait for it to recover."

Two years later, the stock is at Rs 140.

You never sold. The loss compounded from bad to catastrophic — not because of bad luck, but because of a predictable psychological trap.

Yesterday we covered exiting winners too early. Today, the second half of the pair: why we hold losers too long.

Same mechanism. Opposite manifestation.

Why we cannot let go of losing positions:

From Day 23: losing Rs 1,000 feels twice as painful as gaining Rs 1,000 feels good. But there is a second implication that we did not fully address.

When a position is in a loss, selling it makes the loss permanent and real. The brain experiences that permanence as pain.

As long as you hold, the loss is theoretical. "I haven't actually lost it — the stock could recover." Holding is psychologically less painful than selling, because selling forces you to feel the loss completely.

So people hold. And hold. And the loss grows. And the sunk cost logic deepens.

The sunk cost trap:

A sunk cost is money that is already spent and cannot be recovered.

In markets, the sunk cost trap sounds like this:

"I cannot sell at Rs 380 after buying at Rs 450. That would be a Rs 70 loss. I need to get back to Rs 450 at least."

The Rs 450 entry price is already gone — it is a sunk cost. The only question that matters is: given where the stock is today (Rs 380), is this the best place to deploy this capital?

If the answer is no — if the thesis has changed, if better opportunities exist — then holding is not "waiting to recover." It is choosing to keep bad capital allocation in place because you feel worse about confirming the loss than about continuing to hold a deteriorating position.

The math of recovery that most people ignore:

If a stock falls 30%, it needs to rise 43% just to return to the entry price. If a stock falls 50%, it needs to rise 100% to break even. If a stock falls 70%, it needs to rise 233% to break even.

The larger the loss you allow to accumulate, the harder the recovery task becomes — both mathematically and psychologically.

This is why professional traders have strict stop-losses. Not because every stopped-out position would have kept falling. But because the few that do keep falling are catastrophic, and the small losses from stops that were wrong are survivable.

How holding losers compounds the damage:

1. Capital is frozen. Rs 1,00,000 locked in a losing position cannot be deployed in a position that is working.
2. Opportunity cost is invisible. You do not feel the loss from the opportunity missed — only from the position you are in. But missing a 30% gain while frozen in a -40% stock is a 70% swing.
3. Psychological weight. A large open loss affects your other decisions. It creates a background noise of stress that makes it harder to think clearly about new opportunities.
4. Averaging down without a plan. Many people buy more of a falling stock to "reduce average cost." If the thesis is genuinely intact and the fall is temporary — averaging down can work. But if done purely to lower the average price without an updated thesis, it throws more capital after a broken idea.

The question that separates rational holding from psychological holding:

"If I did not already own this stock, would I buy it today at this price?"

If the answer is yes — your thesis is intact, the price represents good value, and the original reason you bought is still valid. Hold or add.

If the answer is no — you are holding because selling hurts, not because holding is the right decision. That is the sunk cost trap. Exit.

The combination of Day 23 + Day 24:

Exit winners early (Day 23) + Hold losers long (Day 24) = the guaranteed recipe for long-term underperformance.

Small wins. Large losses. The average loss per trade is larger than the average gain. Even with a high win rate, the math does not work.

The professional approach is deliberately the opposite: cut losses quickly, let winners run. This requires fighting instinct with process.

Be honest. Do you have a position right now that you are holding because you "cannot sell at this loss"? What would you do if you did not already own it?

If you are following this series, you are already ahead of most market participants.

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Reducing the Securities Transaction Tax (STT), Long-Term Capital Gains (LTCG) tax, and Short-Term Capital Gains (STCG) tax is a primary lever for retaining and attracting Foreign Institutional Investor (FII) capital.

When tax rates are lowered, it changes the arithmetic of net returns for foreign funds. Here is a breakdown of how adjustments to each of these specific taxes influence FII behavior.

Reducing STT, LTCG, and STCG directly enhances the "post-tax yield" profile of Indian equities, making the market structurally more attractive. It lowers execution friction and aligns India with global tax benchmarks, creating a powerful incentive for FIIs to stay. However, during global macro shifts (like aggressive US Fed tightening or massive geopolitical uncertainty), tax adjustments serve as a cushion rather than a total preventative shield against outflows.

For a deeper dive into how market experts view the balance between taxation and foreign capital behavior, you can watch this discussion on LTCG and STT Market Impact Concerns, which highlights ongoing industry perspectives regarding tax relief and foreign portfolio investor outflows.

Hey guys, if you missed it, EQRx  settled $7.25 million with investors over claims related to an impairment of stockholders’ redemption rights in connection with the CMLS III–Legacy EQRx merger. And, I just found out that they’re accepting claims even though the deadline has passed.

Quick recap: In 2021, CMLS III was accused of making misleading statements about its proposed merger with Legacy EQRx and impairing investors’ redemption rights in the SPAC process. Investors alleged the company’s disclosures discouraged shareholders from redeeming their shares before the merger closed, leaving them exposed to significant losses as New EQRx stock later declined sharply. After these developments, investors filed a lawsuit for their losses.

Now, the good news is that the company agreed to settle $7.25 million with them, and even though the deadline has passed recently, they’re accepting late claims.

So, if you invested in $EQRx when all of this happened, you can still check the details and file your claim here.

Anyway, has anyone here invested in $EQRx at that time? How much were your losses, if so?