Markov runs a set of strategies across all 760 NSE cash-equity stocks. Factor models — quality, momentum, residual momentum (after removing NIFTY and sector moves), sector-neutral momentum, low-loss quality and a vol-targeted basket — score every stock and surface the top picks as signals. Baskets are recomputed every quarter; a stock stays in until the next quarterly recompute. We add new models as they pass internal review. Full methodology below.
The universe is the full NSE cash-equity list we keep five years of price history for. F&O-eligible names are added when a short setup needs them. The scan runs every minute during market hours. A setup that forms at 11:14 is in the feed by 11:15.
Each strategy scans the same universe but uses different rules. Together they widen what the feed picks up — quality, momentum, low-loss, multi-factor — so a slow stretch for one doesn't slow down the whole feed. A strategy goes live only after the internal-review checklist is cleared.
Quarterly long-only basket combining quality, momentum and a junk-rank score.
Momentum left after removing NIFTY and sector moves — the stock-specific part.
Best-of-sector momentum picks, equal-weighted across sectors to avoid over-concentration.
High-quality stocks trading with below-average price swings.
Companies with steady ROE, low debt and stable margins across quarters.
Portfolio that adjusts exposure to keep price swings in a steady band.
Six more methods are written down and under internal review. They run in research only — none of them is on the live feed yet. Each one goes live only after methodology review, exit-policy declaration, cross-strategy correlation check and operational-readiness sign-off.
Stocks whose trend direction holds across back-to-back quarters. A stricter momentum filter than raw price strength.
Stock-specific momentum after removing NIFTY and a tighter sector move — independent from the wider residual version on the live feed.
Stocks with steady quarter-on-quarter returns and small loss swings. A lower-noise option vs standard quality.
Stocks that are strong both vs cash and vs peers — must clear both tests.
Wider blend across quality, momentum, value and low-loss signals than QMJ.
Trend-persistence rule applied across the wider universe, not just the F&O list.
Different strategy types use different alignment rules. Both are there to keep single-bar noise out of the feed. Trend-following and intraday setups must clear a three-timeframe check. Quality and factor strategies must clear a quarterly rerank check.
Trend-following strategies never trade against the primary trend. If the three timeframes disagree, the signal is dropped before it reaches the feed.
Higher-highs / lower-lows pattern, 9 / 21 / 50 EMA stack. Sets whether long or short is allowed at all.
Pullback to moving average, oscillator state, volume behaviour. Sets when in the day the setup is ready.
Reversal candle, breakout retest, opening-range pattern. Sets the exact entry price and stop level.
Factor portfolio strategies recompute the basket every quarter using written-down factor scores. A stock enters only when it earns its slot at rerank, and exits when it drops out at the next rerank — not on a single intraday signal.
Score every eligible stock on the strategy's factors — quality, momentum, residual return, volatility — every quarter.
Stocks that clear the rank threshold enter the basket. Position sizing is rule-based — equal-weight, vol-targeted or sector-neutralised, depending on the strategy.
Stocks that fall out of rank at the next rerank are exited. Mid-quarter exits only on structural-trend break, ATR-based stop or regime-break alert.
Every strategy declares one of four types up front. The type sets the exit-policy class — target rules, invalidation signals, structural-stop logic — before the strategy ships. Each setup is also scored 0–12 across trend, alignment, volume, pattern quality, risk/reward and oscillator / factor state. Setups below 7 don't make the feed.
Drives most of the live feed today
Portfolio recomputed every quarter on written-down factor scores. Stocks enter on rerank promotion and exit on rerank dropout. Mid-quarter exits only on structural-trend break, ATR-based stop or regime alert.
Strategies QMJ · Residual momentum · Sector-neutral momentum · Low-vol quality · Persistent quality · Vol-targeted basket
Continuation in an established trend
Pullback to moving average, breakout continuation, RS pullback, intraday momentum, volatility breakout. Three timeframes must agree before entry. Exits on EMA21 break, swing-low break, MA50/200 cross or rebalance-rerank dropout.
Strategies Naive momentum · Multi-horizon momentum · Breakout continuation · RS pullback · Intraday momentum
Counter-trend inside a known range
Bollinger extreme reversal in a defined channel, oversold-in-uptrend, statistical pairs trading. Targets are midlines — BB midline, VWAP, 21 EMA. Exits on trend continuation past entry or vol expansion.
Strategies BB extreme mean-reversion · Pairs trading
Triggered by a single event
Post-earnings drift, index-inclusion add/drop, F&O expiry squeeze, FII/DII flow signal. Exits are tied to the event window — measured-move targets, Fibonacci extensions, event-day-high resistance — and a close back through the pre-event level cancels the setup.
Strategies Post-earnings drift · Index inclusion · F&O expiry squeeze · FII/DII flow
Every strategy — live or pipeline — is reviewed against the same internal checklist for methodology, risk, regime gating and operational readiness. To go live, all twelve must be cleared. Any past-performance figures used during internal review are not publicly displayed and are not certified by SEBI's Past Risk-and-Return Verification Agency (PaRRVA).
A Markov signal is a research recommendation — under the SEBI Research Analyst framework — with the full card up front. What you do with it is your call.
We show you the full card. How much you put in, when you enter, and whether you act on any signal at all is up to you.
Not a guarantee. No SEBI-registered intermediary can or will guarantee returns. Past performance is not indicative of future returns. Across a group of rule-based strategies, a meaningful share of single signals will lose.
Not execution. Markov produces research recommendations. You place every trade yourself through your own broker. We never touch your money.
Not a tip channel. We don't run Telegram groups, WhatsApp tip channels or YouTube stream tips. If someone says they speak for Markov on those platforms, they don't.
Not personalised advice. Signals are general research recommendations under SEBI's Research Analyst framework. They are not tailored to your personal financial situation. For personal advice, talk to a SEBI Registered Investment Adviser.
Markov scans the full NSE cash-equity list — around 760 stocks — every minute during market hours. Six strategies vote in parallel on that list: quality, momentum, residual momentum, low-loss quality, sector-neutral momentum and a vol-targeted basket. Only setups that clear a 16-check walk-forward test on five years of NSE data are published as signals to the mobile app.
Each signal is a complete recommendation: direction, entry zone, hard stop loss, two price targets and a score from 0 to 12. You decide whether to act, how much to put in, and when to exit.
Risk control — not signal accuracy — drives the math. We expect 50–60% of single ideas to lose money. Profit comes from a strong win-to-loss ratio, hard stops and steady position sizing. Every signal includes the risk numbers before the trade idea.
Markov also runs many strategies side by side instead of betting on one edge. A slow stretch for momentum isn't a slow stretch for quality. The feed shows you whatever the tests find that day.
Markov operates under a SEBI Research Analyst registration. The registration number, validity, principal officer, compliance officer and registered office are listed in every page footer and on the Disclosures page. They can be independently verified on the SEBI Intermediaries lookup.
Markov is not a broker. We do not place trades, do not hold client funds, and have no access to any user's broker account.
Markov is a good fit if:
Markov is the wrong fit if:
Product, billing and general questions: support@markov.in.
Grievances and regulatory escalations: see Grievance redressal for the full SEBI escalation steps (compliance officer, SCORES portal, SmartODR).
Direct answers to the questions people ask before, during and after subscribing. For anything not covered here, email support@markov.in.
Markov is a SEBI-registered Research Analyst that delivers real-time signals for NSE Indian equities to a mobile app. Every signal includes a hard stop loss, position size and confluence-based target before the entry. It is a research product, not a broker or execution platform.
Yes. Markov operates under a SEBI Research Analyst registration. The registration number, validity, principal officer and compliance officer are listed in every page footer and on the Disclosures page, and can be independently verified on the SEBI Intermediaries lookup.
No. Markov is a research product, not a broker. It does not connect to your broker account, does not place orders, and never holds client funds. You execute every trade yourself through your own broker.
Markov is a software product delivered through a mobile app. Signals are published research recommendations under the SEBI Research Analyst framework, each with a defined entry zone, hard stop loss and targets — not hot tips. Markov does not run Telegram groups, WhatsApp channels or YouTube tip streams. If anyone claims to represent Markov on those platforms, they are not us.
A SEBI Research Analyst (RA) publishes research recommendations to the public — the same call goes to every subscriber. A Registered Investment Adviser (RIA) gives one-to-one personalised advice based on your financial situation, risk profile and goals. Markov is an RA, not an RIA.
Yes. Markov publishes research, but does not place orders. To act on a signal you need your own broker account — Zerodha, Dhan, Upstox, Groww, Kotak Neo or any SEBI-registered broker works.
Signals are delivered live to the Markov Android app over a WebSocket connection, with a push notification when a new signal is published. The app also keeps an offline cache so the last batch of signals is visible without a network connection.
Signals are pushed over WebSocket and a parallel push notification within a second of being published by the scanner. The app shows the entry zone, stop loss and target the moment the signal is broadcast — no manual refresh needed.
Six strategies run in parallel in production: QMJ (Quality / Momentum / Junk), residual momentum (wide), sector-neutral momentum, low-vol quality, persistent quality, and a vol-targeted basket. Each strategy follows a documented methodology grounded in classical technical analysis and factor-investing principles.
Free tier covers Nifty 50 and BankNifty index signals. Paid tiers cover a fixed market-cap universe per plan — from the top 10 NSE stocks by market cap up to all ~760 NSE stocks above ₹1,000 Cr market cap. There is no per-user stock selection. See the Pricing page for the universe per tier.
Each signal publishes an entry zone, not a single price. If price has moved beyond the zone or invalidated the stop level by the time you act, the cleanest call is to skip that signal. There will be another. Chasing a setup after the structure has broken usually means a worse risk/reward than the signal was designed for.
Volume varies with market conditions and which strategies are active. Across the six production strategies you can expect several setups in an active session and very few in quiet ones. Signals scoring under 7 on the 0–12 conviction scale never ship, so volume is intentionally selective.
The main feed is positional — signals are held until target or stop, which usually plays out over a few days to a few weeks. Intraday setups appear when the methodology triggers them, but Markov is not a day-trading scalper service.
Markov's primary product is NSE cash-equity signals. F&O-eligible names are pulled in only when short setups warrant. There is no options-trading product at this time.
Position size is computed from three numbers: your capital, your risk-per-trade percentage (default 1.5% in the methodology) and the distance from entry to stop loss. The formula is shares = (capital × risk_per_trade) ÷ (entry − stop). Each signal in the app shows a suggested share count based on your configured capital.
Every Markov signal ships with a hard, structural stop loss — not a 'mental' stop. The stop is placed at order entry, not after the fact, and is anchored to ATR or to the nearest swing low (for longs) or swing high (for shorts). If price hits the stop, the position is closed.
The reference risk model caps daily portfolio loss at 3% of capital. When that cap is hit, the system stops issuing new signals for the rest of the day and switches to observation mode. A weekly loss above 6% drops the system to observation-only for the week. These are guidelines from Markov's risk model; you set the actual circuit breakers in your own trading.
No. No SEBI-registered intermediary can or will guarantee returns. Past performance is not indicative of future results. Many ideas in any rule-based portfolio will lose; trade discipline, position sizing and adherence to stops are the user's responsibility.
Markov never takes custody of your money. Your funds stay in your own broker and bank accounts at all times. The only payment Markov collects is the subscription fee, processed through Cashfree Payments or the app store.
No. Past performance is for context only and is not indicative of future returns. Backtests are simulated, walk-forward results are out-of-sample but historical, and live results can differ from both. Markets change; no rule-based system works in every regime.
Nifty and BankNifty index signals are free, forever. Stock signals are tiered by coverage: ₹300/month for the top 10 NSE stocks by market cap, ₹550/month for the top 30, ₹2,500/month for all ~200 NSE F&O-eligible stocks, and ₹4,000/month for all 760 NSE stocks above ₹1,000Cr market cap. Coverage is a fixed market-cap universe per tier — there is no per-user stock selection. Every paid plan ships with real-time delivery, the full trade journal and the production strategy stack on its covered universe. Prices are exclusive of GST.
Nifty 50 and BankNifty index signals are free to use, with no time limit, no card required. That is the standing free tier — the closest thing to a trial. Paid tiers start when you want stock-level coverage.
You can cancel any time directly from inside the app, under account settings. Your subscription continues until the end of the current billing period, after which it does not auto-renew.
Subscriptions are not pro-rated. If you cancel mid-period you keep access until the end of that billing period and are not charged again. Refunds outside that flow are handled case-by-case by support@markov.in and are subject to the refund policy in the Terms of Service.
Payments in India are processed through Cashfree Payments. Subscriptions started through the Play Store are billed through the platform store under its standard terms. Markov never sees or stores raw card details.
The registration details — legal entity, SEBI RA registration number, registration validity, officer contacts and registered office — are listed in every page footer and on the Disclosures page. You can verify the registration independently on the SEBI Intermediaries lookup linked from the Disclosures page.
First, email support@markov.in. If unresolved, escalate to the compliance officer (contact listed on the Grievance page). If still unresolved, file on the SEBI SCORES portal (scores.sebi.gov.in) or the SmartODR online dispute resolution platform (smartodr.in). The full escalation matrix is on the Grievance page.
No. Signals are general research recommendations published under the SEBI Research Analyst framework. They are not tailored to any individual's financial situation, risk tolerance or goals. For personalised investment advice, consult a SEBI Registered Investment Adviser.
Account data, journal entries and subscription records are stored on infrastructure hosted in India. Details on what is collected, why, and how long it is retained are in the Privacy Policy, which also covers Markov's posture under the Digital Personal Data Protection (DPDP) Act.
The Markov app runs on Android phones and tablets (Android 8 and above). An iOS build is planned but not yet live. There is no desktop or web app today — the signal feed is mobile-first by design.
Not yet. The Markov app is Android first and live on Google Play. An iOS build is planned but not yet live and has no announced ETA.
Markov is live on Google Play. Open the Play Store listing and tap Install — Play verifies the app signature and keeps it auto-updated. Android only for now; there is no iOS app yet.
Yes. You sign up with a phone number, complete one-time KYC for paid tiers, and signals are delivered to your account-linked device. The free Nifty and BankNifty feed also requires an account so push notifications can route to you.
Side-by-side on the questions that decide a subscription — regulatory classification, coverage universe, methodology transparency, what ships in each published recommendation, and pricing. Facts are sourced from each platform’s own public pages and the SEBI Intermediary lookup; check the latest filings before subscribing to either.
| Feature | Markov | Univest |
|---|---|---|
| Regulatory classification | SEBI-registered Research Analyst (RA). Both are research-analyst products, not brokers. Neither executes trades for users. | Operates under a SEBI registration. Refer to Univest's own disclosures and the SEBI Intermediary lookup for the latest filing. |
| Coverage universe | Full NSE cash-equity universe — 760 names with 5-year history. F&O-eligible subset (~200) for short setups. | Stock and F&O coverage across NSE; see Univest's product page for the up-to-date universe. |
| Per-recommendation payload | Direction, illustrative entry zone, structural stop, two indicative targets, 0–12 conviction score, source strategy. | Buy/sell calls with target and stop; refer to Univest's app for current payload format. |
| Methodology transparency | Each of six production strategies has a documented rule-set published on this page (multi-timeframe gates, scoring rubric, exit-policy archetypes). | Methodology level disclosed on Univest's site varies — review their product documentation directly. |
| Strategy stack | Six rule-based strategies running in parallel — quality factor, residual momentum, sector-neutral momentum, low-vol quality, persistent quality, vol-targeted basket — with six more in the research pipeline. | Multiple advisory verticals and analyst calls — see Univest for the current product split. |
| Delivery | Live mobile feed (Android first). Real-time WebSocket + push for paid tiers; 15-minute delayed on free. | Mobile app with notifications; refer to Univest for current channels. |
| Free tier | Nifty + BankNifty index signals, real-time, unlimited time. | Free tier scope varies — refer to Univest's pricing page. |
| Paid pricing (entry) | ₹300/month for 10 stocks; ₹550 for 30; ₹2,500 for full F&O coverage; ₹4,000 for the full 760-name universe. | Subscription plans listed on Univest's pricing page. |
| Cancellation | Cancel any time from inside the app. Access ends at billing-period end. No pro-rated refunds. | Refer to Univest's terms and refund policy. |
| Telegram / WhatsApp tips | Markov does not run Telegram, WhatsApp or YouTube tip channels. | Refer to Univest's official channels list — anyone else claiming to represent the brand is unauthorised. |
Comparison is informational. Verify each platform’s current registration, coverage and pricing directly on its website and on the SEBI Intermediary lookup at sebi.gov.in before subscribing. Past performance is not indicative of future returns. Markov is a SEBI-registered Research Analyst; we do not represent Univest and this section is not endorsed by them.
Both operate under SEBI registrations. Markov is registered as a Research Analyst (RA). Univest publicly states it operates under a SEBI Research Analyst registration. RA registrations can be independently verified on the SEBI Intermediary lookup at sebi.gov.in.
Markov publishes recommendations across the full 760-name NSE cash-equity universe Markov maintains a five-year price history for, scanned every minute during market hours. Coverage scope and publishing cadence on competitor platforms varies — refer to each platform's own product page for their universe definition.
Every Markov recommendation includes: direction (LONG / SHORT), an illustrative entry zone, a structural stop level, two indicative targets, a 0–12 internal conviction score, the strategy that produced the idea, and the support/resistance context. When evaluating any signal provider, compare what's published per recommendation — entry, stop, target, sizing reference — and whether the rule-set behind it is documented.
Markov publishes its full rule-set for each of the six production strategies on this page, including the multi-timeframe alignment gates, the conviction scoring rubric and the four exit-policy archetypes. Many tip / advisory products do not publish the underlying methodology of individual calls. Always read the methodology and disclosures section of any service before subscribing.