Behavioural Training Exercises

First published 23 Aug 2026 · Last verified 29 Aug 2026

Lesson 53.1 — The Pre-Trade Checklist: Interrupting the Impulse

A Kathmandu taxi driver does not pull into oncoming traffic just because the road looks empty. He checks the mirror, signals, and looks over his shoulder — a fixed sequence, performed every single time, precisely because judgment under pressure is unreliable. Buying or selling a share on NEPSE deserves the same discipline, yet most Nepali investors treat the "buy" button in their TMS (Trading Management System, the broker's online order-entry platform) or the phone call to their broker as a reflex rather than a decision. Chapter 52 built the temperament — the settled mind — that discipline requires. This chapter builds the tools that make that temperament usable on an ordinary Tuesday morning when Sunrise Bank's counter is flashing green and a Viber group is typing "load karnali, load karnali" in capital letters.

The pre-trade checklist is the simplest and most powerful of these tools. It is nothing more than a short, fixed list of questions that must be answered — in writing, not in your head — before an order is placed. The entire value of the checklist comes from its rigidity. A checklist you can skip when you are excited is not a checklist; it is a suggestion, and suggestions lose to adrenaline every time.

Why a list of questions works better than "just being careful" is worth explaining, because many readers will be tempted to skip this lesson as too simple. The problem is not that Nepali investors do not know the rules of good investing. Ask any BEED (an investor active in the market for even one cycle) about diversification, and they will recite it back to you. The problem is that knowledge sitting in the front of the brain gets overridden by emotion sitting in the back of the brain at exactly the moment it is needed — when the share price of a hydropower counter is up 15 percent (the current daily circuit limit on an individual NEPSE-listed stock, raised from 10 percent in 2026) and every uncle in the family WhatsApp group is asking why you have not bought yet. A checklist works precisely because it does not rely on memory or willpower in the moment. It relies on a decision made earlier, in a calm state, about what questions must be answered before money moves.

Consider the mechanics of how an order actually gets placed in Nepal. Through a broker's TMS or app, or through the CDS and Clearing Limited-linked MeroShare system for IPO and rights applications, the physical act of buying a share takes fewer than thirty seconds: select the scrip, enter the quantity, enter the price, confirm. Thirty seconds is not enough time for reflection. It is enough time for a scroll through a Telegram channel showing someone's "80,000 profit in two days" screenshot to translate directly into a buy order. The checklist's job is to insert friction — a mandatory pause — between the impulse and the click.

A good pre-trade checklist for the NEPSE investor should cover four categories: thesis, price, sizing, and process. Below is a working template. It is deliberately short — six to eight questions — because a checklist with forty items will not survive contact with a busy trading day. The discipline is in always using it, not in making it exhaustive.

Two of these questions deserve emphasis because they are where Nepali retail behaviour most often fails. Question 4, the source check, exists because the single largest driver of poor NEPSE decisions is not bad analysis — it is outsourced analysis dressed up as a personal decision. When forty people in a 500-member Viber group are all buying the same microcap hydropower counter within an hour of a "target price 850" message, none of those forty people did forty independent valuations. Question 7, the emotional state check, exists because self-reported euphoria is a remarkably reliable predictor of a bad entry price — the very fact that a trade feels urgent and exciting is itself information about the trade's quality, not just about the trader's mood.

The checklist is not meant to prevent trading. A share that clears all eight questions with honest answers is a share worth buying. The checklist is meant to prevent the specific failure mode described in Chapter 50 — buying because everyone else is buying, selling because everyone else is panicking — by forcing a moment of individual, written reasoning between the impulse and the execution. Investors who adopt this habit consistently report the same experience after a few months: roughly a third of the trades they were about to make simply do not survive the checklist. That third is the discipline paying for itself.

Lesson 53.2 — The Investment Journal: Building a Memory Better Than Your Own

Nepali households have kept a bahi khata — a running ledger of household accounts — for generations, precisely because memory alone is an unreliable record of what was spent, on what, and why. An investment journal applies the same logic to your portfolio, and it is arguably the single highest-leverage habit an individual investor can build, because it is the only exercise in this chapter that compounds — every entry makes the next review more valuable, and every review makes the next entry more honest.

The purpose of the journal is not to record what you bought and at what price. Your TMS statement and your CDS account (the Central Depository System account that holds your dematerialized shares) already do that perfectly. The purpose of the journal is to record the three things no broker statement ever captures: what you believed at the time, what you expected to happen, and how you felt. Six months or two years later, when the trade has resolved one way or another, these three captured-in-the-moment data points are what let you separate a good decision that had a bad outcome from a bad decision that got lucky — a distinction Chapter 51 introduced as central to overcoming outcome bias, and one that is impossible to make from memory alone, because memory reliably edits itself to make past decisions look more reasoned than they were.

A workable investment journal entry needs six fields, filled in at the time of purchase — not reconstructed afterward. Below is a template you can copy into a notebook, a spreadsheet, or a simple app.

The kill condition field deserves special attention because it is the field investors most often skip, and skipping it is exactly how a "temporary dip" becomes a five-year bag-holding position. Deciding the kill condition at entry, while still unemotional about the specific shares you do not yet own, produces a very different answer than deciding it three months later while sitting on an unrealized loss and hoping. Writing it down at entry — "I will sell if the promoter share lock-in expiry in Chapter 46's sense triggers heavy insider selling" or "I will sell if quarterly report shows revenue decline two quarters running" — converts a vague hope into a testable rule.

The second half of the journal's value comes not from writing entries but from reviewing them — a practice covered fully in Lesson 53.6's post-mortem exercise. For now, the discipline to build is simply this: no purchase or sale is entered into your CDS account without a corresponding journal entry made on the same day, ideally before the order is placed. Investors who try to journal "later, when I have time" almost never do it, because the emotional charge that made the entry worth recording fades within hours. If the pre-trade checklist in Lesson 53.1 interrupts the impulsive trade, the journal entry captures the psychological truth of the trades that do go through — including the good ones, which are just as important to study as the losses.

Lesson 53.3 — The Personal Circuit Breaker

NEPSE itself does not allow the market to fall without limit in a single session. Under the exchange's current rules, an individual scrip's price is allowed to move up to 15 percent from the previous close in a single day before trading in that scrip is halted for the session, and the entire market is suspended for the day if the NEPSE index moves 8 percent from the previous close — a mechanism that has existed in various tiered forms (formerly halting the market in stages at smaller index moves) since the sharp corrections of the mid-2010s taught the regulator that unrestricted panic selling feeds on itself. The exchange's circuit breaker exists for one reason: to force a cooling-off period when prices are moving too fast for rational decision-making to keep pace.

There is no reason an individual investor should not build the same mechanism into personal trading rules — and every reason they should, because your personal capacity for panic does not wait for an 8 percent index move. You can be ruined at the individual portfolio level well before NEPSE-wide circuit breakers ever activate.

A personal circuit breaker system typically operates on two levels, mirroring how NEPSE's own system has tiers.

The first is a per-position circuit breaker: a predetermined percentage loss on a single holding — commonly set between 15 and 25 percent below your entry price, though the right number depends on the volatility of the sector (a microcap hydropower developer pre-commissioning naturally swings more than Nabil Bank) — at which you are required to stop and re-run the pre-trade checklist in reverse: is the original thesis still intact, or has something genuinely changed? This is not necessarily an automatic sell order. It is an automatic stop-and-think order. The distinction matters because a rigid stop-loss can force you to sell into a temporary, sentiment-driven dip that has nothing to do with the company's fundamentals — exactly the kind of noise Chapter 47's ratio-driven, fundamentals-first approach teaches you to look through. The circuit breaker's job is to guarantee a deliberate re-examination, not to guarantee a sale.

The second is a portfolio-level circuit breaker: a predetermined cumulative loss across your entire portfolio — for instance, a 10 percent drawdown from your portfolio's most recent high-water mark within a rolling month — at which you stop opening any new positions entirely for a fixed cooling-off period, commonly two to four weeks, regardless of how attractive any individual opportunity looks during that window. This rule exists because the data on investor behaviour, in Nepal as everywhere, shows a consistent pattern: investors who are already down tend to take larger, more desperate risks to "make it back," a behaviour formally known as the disposition toward loss-chasing, and this is precisely when judgment is most impaired.

Writing the rule down in advance, exactly as NEPSE's own circuit breaker percentages are published rules known to every market participant in advance, is what makes it enforceable. A circuit breaker decided in the moment — "I'll stop trading if things get much worse" — is not a rule; it is a mood, and moods move with the price. Below is a simple worked format for setting your own two-tier system.

Some investors object that a circuit breaker will cause them to "miss the bottom" and sell at the worst possible time, or to sit out a rebound they could have caught. This objection misunderstands the tool. The circuit breaker is not a forecasting device; it does not claim to know where the bottom is, any more than NEPSE's own halt claims to know where the index will land after trading resumes. Its entire function is to guarantee that the next decision, whatever it turns out to be, is made with a clearer head than the one that existed in the middle of the fall. A rule that occasionally costs you a fast rebound is a rule that, applied consistently across a full market cycle, will save you from the far larger and far more common cost of panic-selling into an air pocket or averaging down into a company whose fundamentals genuinely broke.

Lesson 53.4 — The Devil's Advocate Exercise

Every investment thesis, no matter how carefully built, is constructed by a mind that already wants to believe it, because the act of researching a stock is usually motivated by an initial spark of interest — a tip, a chart pattern, a sector story — that came before the analysis, not after it. Chapter 51 named this confirmation bias: the tendency to notice and weight evidence that supports a conclusion you have already half-reached, while discounting evidence that contradicts it. The devil's advocate exercise is a structured way to fight this tendency, not by hoping to be more objective, but by deliberately assigning yourself the job of building the strongest possible case against your own trade.

The exercise has a simple format. Before placing any position above a size threshold you set for yourself (a reasonable starting point is any position larger than 5 percent of your portfolio), write a one-page memo arguing why you should not buy this share. The memo must be genuinely adversarial — not a token paragraph tacked onto a bullish thesis, but the best case a smart, skeptical friend who does not want your money in this stock would make.

A useful structure for the memo borrows directly from the analytical toolkit built across Chapters 40 through 49:

First, the valuation objection: at the current price, what does the market already have to believe about this company's future for the price to make sense, and is that belief realistic? If a hydropower counter is trading at a price implying a return on equity the company has never once achieved historically, the devil's advocate must say so plainly.

Second, the governance objection, drawing on Chapter 39-40's tools: who are the promoters, what is their history with minority shareholders, and is there a related-party transaction, a sudden rights issue, or a board composition red flag that a bullish read would prefer to overlook?

Third, the sector-cycle objection: is this security attractive because of the company, or because the entire sector — hydropower, banking, life insurance, hospitality — is being re-rated by a market-wide narrative that has, in past NEPSE cycles, reliably reversed? Chapter 51 documented how sector rotations on NEPSE tend to be driven more by narrative than by earnings revisions in the short run.

Fourth, the liquidity objection: if the thesis is wrong, can this position actually be exited at a reasonable price, or is the counter thinly traded enough that a decision to sell could itself move the price against you?

The devil's advocate exercise is especially important during sector-wide rallies, which is precisely when NEPSE investors are least inclined to do it. When hydropower counters are broadly rallying — as has repeatedly happened around monsoon-season generation updates, new plant commissioning announcements, or national narratives about energy exports to India — the entire information environment (Viber groups, YouTube commentary channels, TV panel discussion) becomes one-sided. Everyone around you is bullish, which is exactly when the discipline of assigning yourself the contrary position has the highest value, because the market is, at that moment, least likely to be doing it for you.

A genuinely useful devil's advocate exercise sometimes changes the decision, and sometimes does not — both outcomes are successes. If the memo is written honestly and the bull case still survives it, you now hold the position with a far stronger foundation, and you have a pre-written record of the specific risks to monitor, which folds directly into the journal entry from Lesson 53.2's kill condition field. If the memo exposes something the original excitement had papered over, you have avoided a loss for the cost of one page of writing — a trade that, over an investing lifetime, will look very good in hindsight even though it never appears on any brokerage statement.

Lesson 53.5 — The Media Diet

Ask a hundred active NEPSE investors where their last ten trade ideas came from, and an uncomfortable number will trace back not to a company's annual report, its quarterly financial statement, or an independent valuation exercise, but to a Viber group, a Telegram channel, a YouTube "expert" livestream, or a WhatsApp forward of a screenshot with a target price and no source. This is not a moral failing particular to Nepal — retail investors everywhere are drawn to social proof and shortcuts — but the specific texture of it in Nepal, where investment-tip Viber and Telegram groups can run into the thousands of members and often blend genuine market commentary with promotional pumping of illiquid counters, makes managing this information diet a distinct and necessary exercise, not an optional afterthought.

Managing a media diet does not mean withdrawing from all sources of market information — that would be its own mistake, since some of these channels genuinely do carry useful, timely information about circulars, dividend announcements, and book-closure dates. The exercise is about classification and dosage, the same way a household manages a diet not by eliminating all food but by being deliberate about what is eaten, how much, and how often.

A workable media diet exercise has three steps. First, categorize every regular information source you consume — sharesansar.com, MeroLagani, a specific Viber group, a specific YouTube channel, TV business panels, a broker's research note — into one of three buckets: primary data (company disclosures, NEPSE circulars, SEBON notices, audited financial statements), analytical commentary (research grounded in visible methodology you can check), and unfiltered noise (tips, rumours, screenshots, target prices with no stated reasoning). Second, set a rule for how each bucket is used: primary data feeds directly into your checklist and journal; analytical commentary is read but always cross-checked against your own numbers before acting; noise is, at most, a prompt to go verify — never a basis for action on its own.

Third — and this is the step most investors skip — set a time boundary. Decide, in advance, a fixed window (many experienced investors use the thirty minutes after market close, once the day's excitement has passed) during which you will review tip groups and market chatter, and do not check them during trading hours. Checking a pump-oriented Viber group while the market is live and your money is exposed is the single worst timing possible: it is exactly when the group's collective emotional temperature is highest and your own judgment is most likely to be hijacked by it, precisely the failure mode Lesson 53.1's checklist is built to interrupt.

The media diet exercise also has a household dimension specific to Nepal that is worth naming directly: family and social pressure to act on a relative's or neighbour's tip. It is genuinely difficult, in a culture where financial decisions are often discussed openly within extended families, to tell a maternal uncle who "made lakhs" on a finance company counter that you will not be following his tip. The tool here is not confrontation; it is simply routing every tip, regardless of its source, through the same pre-trade checklist and devil's advocate exercise as any other idea. A tip from a trusted relative is not disqualified from being a good idea — it is simply not exempted from being checked like every other idea, and saying so honestly ("I check everything the same way, it's not personal") tends to be both truthful and socially survivable.

Lesson 53.6 — The Post-Mortem: Reviewing Every Trade, Win or Lose

A pilot involved in even a minor incident does not simply move on to the next flight. There is a structured review — what happened, what was decided in the moment, what the instruments showed, what should change — regardless of whether the flight ended safely. Investing deserves the same structured after-action review, and the discipline is called a post-mortem: a systematic look back at a closed position, conducted using the journal entry written at the time of entry (Lesson 53.2) as the honest baseline, comparing what you believed then against what actually happened.

The single most important design feature of a good post-mortem is that it must be run on winning trades as rigorously as on losing trades. Most investors, left to their own habits, will do an informal post-mortem only on losses — replaying what went wrong — while simply banking a profit without examination. This asymmetry is a mistake, because a profitable trade made for a bad reason (a lucky tip that happened to work, a sector rally that lifted a poor company along with good ones) teaches exactly the wrong lesson if left unexamined: it teaches you that the bad process works, which sets you up to repeat it with a larger position next time, at worse odds.

A post-mortem template, run on every closed position, should walk through five questions:

First, what did the journal say at entry — thesis, expected outcome, kill condition — and how does that compare with the memory you currently hold of why you bought? If there is a gap between the two, that gap is hindsight bias at work, and it is worth naming explicitly.

Second, did the kill condition trigger, and if so, did you actually honour it, or did you move the goalposts once the price approached the level you had pre-committed to? Investors who write down a stop-loss and then rationalise past it in the moment ("just a bit more room, the fundamentals haven't changed") are a very common failure pattern, and the post-mortem is where this pattern gets caught and named, so it can be corrected next time.

Third, was the outcome driven primarily by the thesis playing out, or by something else entirely — a broader market rally, a sector-wide re-rating, a change in NEPSE-wide liquidity conditions, a currency or remittance-driven inflow into the market unrelated to the specific company? A hydropower stock that rose 40 percent because monsoon generation data beat expectations, exactly as your thesis predicted, is a different outcome from the same stock rising 40 percent because the whole sector was swept up in a rally with no company-specific news at all — even though your account statement shows an identical profit.

Fourth, what would you do differently in sizing, timing, or verification if you encountered the identical setup again tomorrow? This question converts the specific trade into a general, reusable lesson rather than a one-off anecdote.

Fifth, does this trade reveal a pattern when placed alongside your last ten to twenty journal entries — a recurring source of good ideas, a recurring source of bad ones, a recurring emotional trigger, a recurring sector bias? A single trade rarely teaches much on its own; a post-mortem run consistently across dozens of trades, read together, is where the real signal about your own behaviour as an investor emerges.

A Worked Example: The Hydropower Rally Decision

Bring all five preceding exercises together with a single hypothetical, deliberately realistic scenario. It is the middle of the monsoon season. A mid-cap hydropower company — call it "Himal Urja Hydropower Ltd." — has seen its share price rise 35 percent over three weeks on the back of strong river flow data, a Viber group screenshot claiming an analyst "target of Rs 650" against a current price of Rs 480, and general sector enthusiasm as several hydropower counters near their 15 percent daily limit on the same day. An investor, call her Sunita, is considering buying.

Sunita runs the pre-trade checklist first. Her thesis, written honestly, is: "Generation data has been strong and the stock is rallying with the sector." Answering question 2 honestly, she finds Himal Urja is trading at roughly 1.8 times its replacement cost per installed MW, well above the sector's five-year average of about 1.2 times — a valuation anchor from Chapters 46-47's project-finance-aware methods that she would not have checked without the checklist forcing the question. Question 3 forces her to note the price is within 4 percent of its 52-week high. Question 4, the source check, is uncomfortable: the specific "Rs 650 target" came from an unnamed post in a Viber group, not from any research she can independently verify. Question 7, her emotional state, is honestly "excited, slightly FOMO-driven" — she is aware that colleagues at her office have already bought in.

She next writes a short devil's advocate memo. The strongest case against buying: at 1.8x replacement cost, the market is already pricing in several more years of above-average river flow and no major maintenance capex, an assumption her own review of Himal Urja's last three annual reports (Chapter 45's tools) suggests is optimistic given an aging penstock the company flagged in its own auditor's notes. The rally, on inspection, is sector-wide rather than company-specific — every hydropower counter on the board moved similarly that week regardless of individual generation performance, which is itself evidence the price move reflects narrative and new retail money rather than firm-specific news.

Sunita decides, based on the checklist and the devil's advocate memo together, on a modified position: a smaller allocation than she originally intended (2 percent of portfolio rather than the 6 percent she first considered), entered with a written kill condition — "sell if price falls 18 percent from entry, or if Q2 generation data due in three months shows flow below the five-year seasonal average" — and a portfolio-level circuit breaker already in place from her broader trading rules. She writes the full journal entry, including the honest "FOMO-driven" note, before placing the order. She mutes the Viber group's notifications until market close.

Two outcomes are plausible, and both are worth walking through, because the value of the process does not depend on which one occurs. If Himal Urja falls 20 percent over the following month as the sector-wide rally cools — a common pattern after narrative-driven, sector-wide moves on NEPSE — her per-position circuit breaker triggers a mandatory pause and reassessment rather than either a panicked sale at the bottom or a stubborn hold with no plan; because her position was already sized smaller than her first impulse, the loss in rupee terms is manageable, and her post-mortem, conducted a month later against her original journal entry, will show a thesis that was honestly weak from the start ("rallying with the sector" is not a company-specific thesis) — a lesson about her own tip-sourcing habits, not just about hydropower valuation, that a plain memory of "I lost money on Himal Urja" would never have surfaced. If instead the stock continues higher because generation data does come in strong, her smaller position still participates in the gain, her journal entry lets a later post-mortem correctly attribute the win partly to a real thesis and partly to sector luck, and she has a written record for next time of exactly how a rushed, tip-sourced idea can be improved by the checklist without being abandoned outright.