Market Microstructure Failures in NEPSE

First published 21 Aug 2026 · Last verified 29 Aug 2026

Most books ignore this. Most Nepali investors are harmed by it.

When retail investors in Nepal lose money, they almost always blame themselves. They say they bought at the wrong time, or chose the wrong company, or lacked patience. Rarely do they understand that a significant portion of their losses are not random misfortune but the predictable outcome of a market structure that systematically favours insiders over outsiders. This chapter is about that structure.

Market microstructure is the study of how trading actually happens — the mechanics beneath the prices you see on your screen. It asks: who sets the price? Who gets filled first? Who knows what before you do? Whose order disappears before it should? These questions are usually discussed only in advanced finance textbooks aimed at institutional traders. They are not discussed in Nepali investment seminars, not because they are unimportant, but because the people who benefit from your ignorance of them have little incentive to educate you.

The Nepal Stock Exchange (NEPSE) is a small, shallow market. It has a limited number of actively traded scrips, a thin pool of liquidity, concentrated broker networks, and incomplete regulatory enforcement. These characteristics create a fertile environment for every form of microstructure predation. What might happen occasionally in a deep, well-monitored market like the NYSE happens routinely in NEPSE. Understanding this is not cause for despair but for precision. Once you understand the mechanics, you can trade around them, avoid them, and occasionally use them to your advantage.

This chapter covers eight lessons. The first two establish the conceptual foundation. The next five examine specific failure modes in detail. The last gives you a practical defence. Read carefully. These are not theoretical abstractions — every mechanism described here has real consequences for your portfolio balance.

Lesson 12.1 — What Market Microstructure Means and Why It Matters to a Retail Investor

The Gap Between Price and Execution

When you look at NEPSE and see that a stock is trading at Rs. 450, you are seeing a price. But a price is only the record of the last transaction that happened. It says nothing about whether you can buy at that price, how much you can buy, how quickly your order will execute, or what will happen to the price between the moment you place your order and the moment it fills. The machinery that governs all of these outcomes is market microstructure.

In academic terms, microstructure refers to the process by which investors' latent demands are translated into prices and volumes. The key word is 'process.' Between your desire to buy and the moment you actually own the shares, a complex sequence of events occurs: your order enters a queue, it is matched against other orders, brokers route it through systems, and prices respond. Each of those steps creates an opportunity for someone — broker, insider, or well-connected trader — to extract value from you.

The Three Dimensions of Cost That Most Investors Never See

Retail investors typically think about only one cost: the brokerage commission. In Nepal, the regulated commission schedule makes this cost visible and predictable. But brokerage commission is the smallest part of the real cost of trading. The three true costs are:

The first is the bid-ask spread. At any moment, the best available buyer (the bid) and the best available seller (the ask) are not the same price. When you buy at the ask and immediately need to sell at the bid, you lose the spread before any price movement occurs. In liquid markets, this spread is tiny. In thin NEPSE scrips, the spread can be several percentage points wide.

The second is market impact. When you place a large buy order into a thin market, your own order pushes the price up before it fills completely. You pay more for later shares than you would have for earlier ones. Operators know this and use your market impact against you.

The third is adverse selection. When someone sells to you, they often know something you do not — that the stock is about to fall, that fundamentals have deteriorated, that insiders are exiting. The price at which you buy already incorporates this informational disadvantage. You pay not just for the share but for your own ignorance.

Why NEPSE Amplifies Every Microstructure Problem

Microstructure problems exist in all markets but they are dramatically worse in NEPSE for structural reasons. First, the market has very low float on many scrips — a small number of shares are actually available for public trading, while promoters hold the majority in lock. This thinness means that even modest order flow can move prices substantially.

Second, NEPSE's trading system, while improved over years, still offers far less transparency and speed than markets like BSE or NSE. The information environment is opaque. Financial disclosures arrive slowly, are often incomplete, and are rarely accompanied by management commentary that retail investors can analyse.

Third, the broker community in Nepal is concentrated. A small number of brokers dominate order flow. Broker firms are not merely execution agents — many have proprietary trading positions, are connected to the promoter networks of listed companies, and have information advantages that are structurally built into their business model.

Fourth, the regulator — SEBON — has limited capacity for real-time surveillance. The SEC equivalents in more developed markets deploy algorithmic surveillance to detect wash trading, layering, and spoofing within hours or days. NEPSE enforcement typically operates on a much slower cycle, and many manipulative activities are never prosecuted at all.

Lesson 12.2 — Queue Priority Mechanics: How the Order Queue Works and Who Benefits

The Basic Logic of Price-Time Priority

NEPSE, like most electronic exchanges, operates on a price-time priority system. This means that among all orders at the same price, the one that arrived first gets executed first. If you and another buyer both place limit orders to buy at Rs. 400, and there is only one seller at Rs. 400, the buyer whose order was registered in the system earlier gets the shares. The later buyer waits.

This system sounds perfectly fair, and in isolation it is. The problem is that 'time of arrival' is not simply 'the moment you pressed the buy button.' Time of arrival in an electronic exchange is the microsecond the order reaches the matching engine. The distance between you pressing a button and that order landing at the engine depends on your connection, your broker's system, and the routing path your order takes. For a retail investor in Kathmandu using a mobile app, that path may involve multiple hops and significant latency. For a trader using a direct connection at a broker firm's terminal, that path is much shorter.

The Broker Terminal Advantage

In Nepal, many retail investors place orders through mobile apps or web portals that sit on top of broker systems. These systems add a layer between the investor and the exchange. The broker's own trading desk, however, often uses a direct connection. This means that if the broker's proprietary desk and a retail client decide to buy the same stock at the same price at approximately the same time, the broker's order will almost always arrive at the matching engine first.

This is not illegal in itself — the broker is using their infrastructure advantage. But when the broker has a direct conflict of interest — when they want to buy shares before filling your buy order so they can sell to you at a higher price later — the time priority system becomes a mechanism of extraction rather than fairness.

Queue Position and Price Discovery

Queue position matters not just for execution but for price discovery. When a large order enters NEPSE and starts consuming the order book, the price moves. Traders with early queue positions get filled at earlier, lower prices. Traders at the back of the queue — typically retail investors — get filled at later, higher prices, or do not get filled at all as the price moves away from their limit. They then face a choice: chase the price up (paying more) or miss the opportunity (losing the trading time they allocated).

Sophisticated market participants understand this and deliberately use queue mechanics. They place exploratory orders early in the session, at modest sizes, to establish queue priority. They wait. When institutional or retail demand starts showing up and the price begins to move, their queued orders execute first. They sell into that demand at progressively higher prices.

Spoofing at the Queue Level

Spoofing is the practice of placing large visible orders that a trader has no intention of executing, for the purpose of inducing other participants to behave in ways that benefit the spoofer, after which the fake orders are cancelled. In NEPSE, spoofing occurs at the queue level with some regularity. A large sell order appearing in the queue signals abundant supply and discourages buyers. Retail investors seeing that large sell order at Rs. 450 may conclude: there is heavy resistance here; I will wait. Meanwhile, the operator who placed the fake sell order is buying at lower prices. Once their buy accumulation is complete, the large sell order disappears. Retail investors, seeing the resistance removed, become buyers. The operator sells into their demand.

In more developed markets, sophisticated surveillance software detects spoofing patterns within minutes. In NEPSE, the monitoring is less comprehensive and real-time cancellation patterns are less closely tracked, giving spoofers more time to operate before detection — if they are detected at all.

Lesson 12.3 — Fake Volume Creation: How Matched Trades Between Connected Parties Simulate Activity

What Wash Trading Is

Wash trading is the practice of simultaneously buying and selling the same security between connected parties — or by the same party using different accounts — with the result that no real change in ownership occurs but transaction volume is artificially inflated. The trades 'wash' against each other. The economic content of such trades is zero, but their appearance in the public trading record creates the impression of activity, interest, and liquidity that does not actually exist.

The purpose of wash trading in NEPSE is almost always to manufacture the appearance of momentum. A scrip that has been dormant for months, with a few thousand shares changing hands per day, is not attractive to retail investors who have been conditioned to look for activity. But a scrip showing tens of thousands of shares per day, with consistent upward price movement, attracts attention. Wash trading generates that signal artificially.

How Connected Parties Execute Wash Trades in NEPSE

The mechanics in NEPSE typically work as follows. A group of operators who control a position in a scrip — typically accumulated during a quiet period — want to attract retail buying interest. They open buy and sell orders at the same or adjacent prices through different but coordinated accounts. These accounts may be registered in the names of family members, associates, shell individuals, or companies that function as nominees.

Because NEPSE matches orders based on price and time, the operators need to ensure their buy and sell orders are the best available on each side, and that no unintended third party steps in between them. They accomplish this by choosing illiquid scrips where the natural order flow is thin — fewer independent traders means less risk of an outsider disrupting the wash. They trade in off-peak hours when surveillance attention is lower. And they carefully size their orders so as to not be conspicuous on any individual ticket while generating meaningful aggregate volume over a session or week.

The Role of Volume in Retail Psychology

The effectiveness of wash trading depends on retail investors treating volume as a reliable signal of genuine interest. And this is a deeply ingrained habit. Volume is the first thing many retail traders look at in NEPSE screeners. When a stock 'breaks out on high volume,' it is treated as confirmation. When a stock rises but on thin volume, the move is treated as suspect. The operators know this habit and exploit it directly.

After a period of wash-traded volume has pushed the price up and attracted retail attention, the operators begin selling their real position into the genuine retail buying interest. The retail investors arrive thinking they are buying into an active, liquid market. They are actually providing the exit liquidity for the operators who manufactured the apparent activity.

Differentiating Genuine Volume From Manufactured Volume

Distinguishing genuine volume from wash-traded volume is not easy, but there are indicators. Genuine buying volume tends to be accompanied by widening participation — more individual trades, more varied trade sizes, more varied timing across the session. Wash-traded volume tends to show a different pattern: trades of suspiciously uniform size, trades clustering at specific times, a ratio of buy-initiated to sell-initiated volume that is unnaturally balanced, and a price that moves suspiciously smoothly upward without the natural volatility that genuine two-sided interest creates.

The most reliable indicator, however, is cross-checking volume surges against any plausible fundamental catalyst. If a company has released strong earnings, received a regulator approval, declared a bonus, or announced a significant business development, rising volume is explicable. If there is no such catalyst, volume surges in illiquid NEPSE scrips deserve deep scepticism.

Lesson 12.4 — Broker-Level Order Routing Incentives: Where Your Order Goes and Why It May Not Be in Your Best Interest

The Broker as Intermediary and as Principal

In a well-functioning market, a broker acts as your agent. Their job is to take your order and execute it in a manner that is most favourable to you — getting you the best price, the best fill rate, and the fastest execution. This is called best execution, and regulators in advanced markets require brokers to demonstrate it.

In NEPSE, brokers play a dual role. They are agents for retail clients, yes. But many are also principals — they trade for their own accounts. This creates a fundamental conflict of interest that is rarely disclosed clearly to retail clients and even less rarely resolved in the retail client's favour.

Front-Running: The Classic Broker Conflict

Front-running occurs when a broker uses knowledge of a pending client order to trade for the broker's own account before executing the client's order. If you call your broker and say 'buy me 500 shares of XYZ at market,' and the broker's desk buys 200 shares for its own account first, driving the price slightly higher, and then executes your order at that higher price, your broker has front-run you. You paid more because of your broker's prior action.

In Nepal, front-running is illegal. It is also difficult to prove and rarely prosecuted. The structural conditions that make it attractive are strong: brokers have advance knowledge of order flow, proprietary trading is common, the surveillance infrastructure is limited, and the profit from front-running — while small per trade — is reliable and risk-free across thousands of transactions.

Internalization and Its Costs

A related practice is internalization, where a broker matches your buy order against their own inventory or a sell order from another client rather than sending it to the exchange. In theory this can be neutral or even beneficial if done at a fair price. In practice it can be harmful if the broker uses the internal matching to avoid price discovery — to fill you at a price that is slightly worse than what the open market would have offered, pocketing the difference.

Because retail clients cannot easily monitor where their order was actually executed — was it matched internally or on exchange? at what time? against what counter-party? — the broker has significant latitude to extract value through internalization without detection.

The Consequences for Your Execution Quality

Even if no individual broker act reaches the level of front-running, the aggregate effect of broker-level routing incentives on your execution quality is negative. You will tend to get filled on the least attractive terms that are still consistent with plausible deniability. Your market orders will execute at the top of the spread. Your limit orders will get filled last within their price tier. Your large orders will move the price against you before they complete.

The practical implication is important: your trading costs in NEPSE are higher than the commission schedule suggests. When you factor in adverse execution quality, the real cost of each round trip may be significantly larger than the stated commission.

Lesson 12.5 — Price Ramping in Illiquid Stocks: The Mechanics of How It Is Done

What Price Ramping Is and Why It Works in NEPSE

Price ramping is the deliberate orchestration of a sustained upward price trend in a stock through a combination of controlled buying, volume generation, narrative seeding, and coordinated distribution. It exploits the fact that retail investors are strongly attracted to what has already been going up, and that in a shallow market a relatively small amount of capital, deployed strategically, can produce price movements that look significant.

The mechanics of price ramping in NEPSE are well-established among operators and largely unknown among the retail investors who are its targets. Understanding the full sequence is essential, because each phase of the ramp creates both risks and traps for uninformed buyers.

Phase One: The Quiet Accumulation

The first phase occurs when the scrip is dormant, ignored, and cheap. Operators accumulate shares quietly, in small lots, spread over many days or weeks to avoid triggering attention. They may buy through multiple broker accounts. They do not bid up the price — in fact, they prefer the price to remain flat or drift slightly lower during accumulation, as this allows them to build a larger position at a lower average cost. During this phase, retail investors have no reason to be interested. The stock is boring and shows no price action.

Phase Two: Volume Seeding and Price Ignition

Once operators have accumulated a sufficient position, they begin the second phase: creating the conditions that attract retail attention. They start executing small wash trades to inflate volume. They may plant positive stories about the company — rumours of a dividend announcement, a new project, management changes, regulatory approvals — through informal channels. Social media groups, message boards, and broker-connected analysts become conduits for these narratives.

Then, on a chosen day, operators begin buying more aggressively and lifting the ask price in visible increments. The stock moves 3%, then 5%, then hits the upper circuit limit. Volume on this day is conspicuous. Retail investors who track NEPSE volume leaders see the spike. The positive narrative they have heard makes the movement seem credible. Buying interest begins to form organically.

Phase Three: Retail Participation and Controlled Rally

As retail buying arrives, the operators control the price carefully. They do not simply sell into the initial retail interest — this would cap the price too early and not generate maximum return. Instead, they continue buying alongside retail investors, taking the price higher in visible steps. They let the upper circuit be hit several days running, which is extremely effective retail bait, because a stock that hits upper circuit multiple days in a row appears to be in irresistible demand.

During this phase, operators are simultaneously seeding exits — making small, measured sales that are invisible among the larger volume of genuine retail buying. They are reducing their position gradually while the price is still rising, so that by the time the rally peaks, they have already sold a significant portion of what they accumulated.

Phase Four: Distribution and Exit

The fourth phase is the distribution. The price has reached a level where the operators' remaining position can be sold entirely into retail buying without pushing the price down too quickly. This requires volume — retail buy volume — and the operators often manage this by creating a final buying surge through a climactic positive narrative (a bonus announcement that was always going to happen, a quarterly result that was already known to insiders) timed to coincide with their final exit.

Once distribution is complete, the operators stop supporting the price. The buying pressure that was keeping it elevated disappears. The stock begins to fall. Retail investors who bought at or near the peak are now holding shares no one is willing to buy at the price they paid. They either sell at a loss or hold indefinitely hoping for a recovery that the operators have no interest in supporting.

Lesson 12.6 — Information Asymmetry in NEPSE: Who Knows What and How Early

The Information Hierarchy

All markets operate under information asymmetry — some participants know more than others. What differs between markets is the severity of that asymmetry and the mechanisms by which it is governed. In well-regulated markets, insider trading laws, disclosure requirements, and surveillance technology work to compress the informational gap between informed and uninformed participants. In NEPSE, those compression mechanisms are weaker, and the gap is correspondingly wider.

The information hierarchy in NEPSE, from most to least informed, works approximately as follows. At the top are the promoters and management of listed companies — they know financial results before announcement, know about pending regulatory decisions, know about dividend declarations and rights issues weeks or months before public disclosure. Just below them are the broker networks that maintain close relationships with company promoters — they receive informal signals, can observe unusual corporate activity, and have access to analyst commentary that never reaches the general public. Below that are large institutional investors — mutual funds, insurance companies, banks' investment portfolios — who have dedicated research capacity and earlier access to disclosed information. At the bottom are retail investors — who receive information last, in whatever form it was decided to release it, after it has already been acted on by every tier above them.

Corporate Disclosure Quality in Nepal

Timely and accurate corporate disclosure is the primary mechanism by which regulators attempt to reduce information asymmetry. In Nepal, the quality of corporate disclosure, while improving, remains insufficient for meaningful retail analysis. Financial statements are sometimes delayed. Quarterly reports often lack the granularity needed to assess business trends. Management guidance — where companies explain their future expectations to shareholders — is rare. Significant corporate events, such as the departure of key executives, changes in business strategy, or emerging financial stress, are often disclosed only obliquely or after the fact.

This disclosure gap means that price-sensitive information about NEPSE companies is in the hands of insiders long before it reaches the market. During that gap, insiders can — and do — trade. By the time a quarterly result or dividend announcement is public, the shares have already moved to price in the information. The retail investor who buys on the news is buying at the post-information price, after the informed buyers have already profited.

Social Media as an Information Channel — and as a Manipulation Tool

Social media, particularly Facebook groups and informal WhatsApp networks, have become significant channels through which NEPSE information — and misinformation — travels to retail investors. These channels are fast and accessible. They are also completely unregulated and systematically exploited.

Operators use these channels with precision. They seed positive narratives before price ramps. They spread rumours of dividends, mergers, or regulatory approvals — some of which are true and early, some of which are completely fabricated. They create a sense of urgency ('this will hit upper circuit by tomorrow') designed to cause retail investors to act quickly without verification. Because retail investors in Nepal have learned that informal channels sometimes carry true early information, they are conditioned to act on it. This conditioning is the vulnerability the operators exploit.

The only rational response to social media information in NEPSE is systematic scepticism. The speed with which information travels through these channels does not make it more reliable — it makes it more effective as a manipulation tool, because the operators who plant it can execute their trades before retail investors even read the post.

Lesson 12.7 — Circuit Limit Exploitation: How Traders Use Circuits to Trap Retail Investors

What Circuit Limits Are and Why They Exist

NEPSE, like most exchanges, applies circuit limits — also called circuit breakers — to individual stocks. These limits prevent a stock's price from moving beyond a set percentage in a single day, either upward (upper circuit) or downward (lower circuit). The limits are designed to prevent extreme volatility, to give participants time to assess whether a sharp price move reflects genuine information or manipulation, and to protect investors from catastrophic single-day losses.

When a stock hits its upper circuit limit, no further transactions can occur above that price for the rest of the session. The stock is frozen at the limit. All pending buy orders that would have transacted above the limit are queued, unsatisfied. The next trading day, the stock may gap up further or may find equilibrium — depending on whether genuine demand continues or the circuit-day buying was manufactured.

The Upper Circuit Trap: Manufactured Scarcity

Operators use upper circuit limits to manufacture artificial scarcity. The mechanism works like this: an operator who holds a significant position in an illiquid scrip places a series of buy orders early in a session, lifting the price steadily toward the upper circuit. Once the circuit is triggered, all subsequent buy orders cannot be filled — there are more buyers than sellers at the limit price, and the sellers have chosen to withhold supply. The stock is visibly 'locked' at the upper circuit.

To a retail investor watching NEPSE, a stock locked at upper circuit for multiple days is an extremely compelling signal. It appears that everyone wants in and no one wants out. The queue of unfilled buy orders grows. The narrative around the stock intensifies. Retail investors, afraid of missing a multi-day run, place increasingly urgent buy orders to try to secure allocation.

What they do not see is that the operators are controlling the supply side. By not selling, or by selling only slowly and selectively, they keep the circuit locked and the queue growing. They choose the day and price at which they begin distributing — when retail impatience and narrative intensity have reached maximum levels — and they sell their position into the frenzied queue of retail buyers who have been waiting for days to get in.

The Lower Circuit Trap: Manufactured Panic

The lower circuit trap works in the opposite direction but with equal precision. An operator who wishes to accumulate shares cheaply, or who has established a short position and wants to force down the price, begins selling aggressively. The selling pushes the price to the lower circuit. Other holders, seeing the lower circuit hit and unable to sell (because all sell orders at the limit are backed up against limited buyers), panic. The stock appears to be in freefall. Retail investors who wanted to sell but could not — the circuit prevented their execution — place sell orders for the next day at any price, ready to exit at a loss just to avoid further decline.

The operator who manufactured the lower circuit is now the buyer of last resort. They purchase the distressed shares being thrown at the market by panicking retail sellers. By the time natural equilibrium reasserts itself, the operator has accumulated a new position at deeply discounted prices, at the expense of retail investors who sold in panic.

The Multi-Day Circuit Sequence

The most sophisticated circuit exploitation involves multiple consecutive circuits in a deliberate sequence. Upper circuits for several days to attract retail buying interest, then a sudden reversal — lower circuits — to shake out the weak-handed retail buyers who entered at the top, who then sell at losses to the same operators who sold to them at higher prices. This full cycle can execute in two to three weeks in a sufficiently illiquid scrip, and the operator who controls it can profit on both the upside (selling to retail buyers during upper circuits) and the downside (buying back from panicking retail sellers during lower circuits).

Lesson 12.8 — Protecting Yourself From Microstructure Predation: Practical Rules

The preceding seven lessons have described a set of adversarial mechanisms. This final lesson translates them into actionable defences. None of these rules guarantee that you will never be harmed by market manipulation — in a market like NEPSE, some exposure is unavoidable. But following these rules consistently will dramatically reduce the frequency and severity of the harm you absorb.

Rule 1: Never use market orders in illiquid scrips.

A market order in a thin NEPSE stock is an invitation for adversarial execution. You are saying: I will buy at any price. Brokers and operators will accommodate you at the worst price available. Use limit orders exclusively. Set your limit at a price that reflects your valuation, not the current market momentum. If the stock does not come to your price, you do not buy. This discipline protects you from paying the operator's distribution price.

Rule 2: Treat consecutive upper circuit days as a warning signal, not a buy signal.

The more days a stock has been at upper circuit, the higher the probability that you are looking at an operator's distribution phase rather than a genuine breakout. The time to buy a good company is when no one is talking about it, not when everyone is fighting to get in. Reverse your instinct: excitement in NEPSE is usually a reason for caution.

Rule 3: Require a fundamental catalyst for every volume surge you investigate.

Before you act on any volume spike, ask: what has changed for this company? Earnings release? Dividend announcement? Regulatory approval? New contract? If you cannot identify a credible, verifiable fundamental catalyst within ten minutes of searching, assume the volume is manufactured. Walk away. The opportunity will not be lost — there is no opportunity in wash-traded volume, only the illusion of one.

Rule 4: Never make investment decisions based primarily on social media information.

Social media channels in NEPSE are the final step in the operator's information dissemination chain. By the time you read a tip in a Facebook group, it has already been acted on by the operator, their network, and multiple layers of brokers and insiders. You are reading stale intelligence at the worst possible entry price. Use social media only as a source of leads to investigate through independent fundamental analysis — never as a substitute for it.

Rule 5: Build positions slowly and in tranches for illiquid scrips.

If you are buying a less liquid NEPSE stock, do not place your entire intended position in a single order. Break it into three to five tranches placed over multiple sessions. This reduces your market impact (you are less likely to move the price against yourself), gives you better average pricing, and allows you to observe how the stock responds to your buying before committing fully. If the price surges dramatically after your first small purchase, it may indicate that your order was being front-run — scale back your intended position.

Rule 6: Do not sell in panic during lower circuit sequences.

Lower circuit events are deliberately induced by operators to create panic selling at depressed prices. The worst decision you can make during a lower circuit sequence is to sell at or near the limit out of fear. If your original investment thesis — the fundamental reasons you bought the stock — remains intact, the correct action is usually to hold, and potentially to add at the artificially depressed price. Panic exits feed the operator who manufactured the circuit. The exception is if the lower circuit reflects genuine fundamental deterioration — which is why having an original fundamental thesis is non-negotiable.

Rule 7: Understand your broker's interests and manage the relationship accordingly.

Your broker is not your financial advisor. They have their own trading positions, their own relationships with company promoters, and their own incentives that frequently diverge from yours. Treat your broker as a transaction execution service — nothing more. Do not follow their stock tips unless you have independently verified the underlying analysis. Do not allow their enthusiasm for a particular scrip to substitute for your own valuation work. The brokers who are most enthusiastic about recommending specific stocks are often the ones with the most to gain from your buying.

Rule 8: Maintain a decision log to identify when microstructure vulnerabilities influenced your behaviour.

After each NEPSE investment decision — successful or not — write down the specific reasons you made it. Note whether those reasons included volume signals, circuit-day sequences, social media tips, broker recommendations, or FOMO-driven urgency. Over six months, review your log. You will almost certainly find a pattern: the decisions made under microstructure pressure underperform those made from fundamental analysis. Making this visible is the first step to eliminating it.

A Final Note on Systemic Change

The mechanisms described in this chapter are not the inevitable features of all markets — they are the features of an under-regulated, under-surveilled, informationally opaque market at a relatively early stage of development. NEPSE has made significant improvements in technology and regulation over the past decade, and will likely continue improving. Enforcement is expanding. Algorithmic surveillance is developing. Disclosure standards are rising.

But structural improvement takes time, and in the interim, the retail investor who waits for the system to protect them will absorb losses that a self-educated investor would have avoided. The purpose of this chapter is not to discourage you from participating in NEPSE — which, for all its structural imperfections, remains the most accessible wealth-building vehicle for most Nepali citizens. The purpose is to ensure that when you participate, you do so with accurate information about the environment you are operating in.

Knowledge of how predators operate is not pessimism. It is the precondition for surviving and eventually thriving in any ecosystem.