Plain-English meanings for terms on the Parkhu desk, plus one simple example each. This is a reading aid — not trading advice. Capital and sizing stay with Claude.
A short label for the overall market weather — how friendly or hostile conditions look for new risk (bullish / mixed / bearish style labels).
Example: Like checking if it’s sunny before a picnic. “Bearish + high VIX” ≈ heavy rain — you still might go out, but you pack less food (fewer new trades).
A fear / expected-volatility gauge for the Indian market. Higher usually means bigger expected swings; lower means calmer expected moves.
Example: VIX is like wind speed at the airport. Calm day → smoother flights (tighter ranges). Gusty day → more turbulence; many traders size down or wait.
FII = Foreign Institutional Investors; DII = Domestic Institutional Investors. Net buy/sell shows whether large money is flowing into or out of Indian equities that day (often in ₹ crore).
Example: FII selling while DII buying is like tourists leaving a mall while local shoppers keep shopping — busy inside, but one big wallet group is exiting.
How many rupees one US dollar buys. A rising USDINR means a weaker rupee.
Example: If USDINR moves from 83 to 84, the same $100 trip abroad costs more in rupees — risk assets often feel that pressure too.
Oil price cue. India imports a lot of oil, so sharp crude moves can ripple into inflation expectations and market mood.
Example: Crude jumping is like fuel prices at your local pump rising overnight — everyone notices, and some stocks (energy vs consumers) react differently.
A quick mix of how Asia / Europe / US sessions look — supportive, mixed, or risk-off — used with VIX and FII, not alone.
Example: Like glancing at three weather apps (Tokyo, London, New York) before your commute. All green ≠ guaranteed good trade day; all red is a reason to slow down.
Top-down view of the hard rules stocks must pass (trend, moving averages, ADX, RSI, earnings window, etc.). Each step shows how many names survive. On the desk, tap ? on a step for a plain-language what / why.
Example: Airport security lanes. 500 people enter; after ID, bags, and boarding pass checks, 40 remain. Early collapse = weak day for new ideas.
How widely participation is across the universe — many names advancing/surviving vs a thin market led by a few.
Example: A cricket team win where 8 batters score vs one batter carrying everyone. Broad win ≈ healthier risk; one-hero win ≈ fragile.
Share of the score’s knowledge-base weights that are live today. Low coverage means parts of the score are missing or stale.
Example: A restaurant rating with only 2 of 10 review categories filled in. You can still read the score — but treat it as provisional.
Explicit warnings about data gaps or process issues for the session (missing fields, stale feeds, etc.).
Example: A map app saying “traffic data delayed 20 minutes.” Routes still show — you just don’t trust them blindly.
The day’s structured handoff file (JSON/MD) the desk and Claude both read — regime, funnel, ideas, ledger snapshot, quality notes.
Example: Like a morning briefing folder on a trader’s desk: one place for “what happened + what cleared filters,” not a trade ticket.
A composite quality score for a cleared idea (higher generally means stronger process fit). It is not a buy order and includes no position size.
Example: Like a hotel star rating for setup quality. A 4.5-star hotel can still be wrong for your trip — and stars never tell you how many rooms to book.
A bucket for the idea’s strength or readiness (e.g. stronger vs weaker / watch-style labels depending on the pack).
Example: Exam grades A / B / C. “A” gets first look; “C” might stay on the watchlist only.
The planned buy zone / trigger price from the process — where you’d consider starting a long idea if all else fits.
Example: “I’ll only buy this phone if it dips to ₹50,000.” Entry ≈ that planned price, not a forced purchase.
The invalidation price — if price hits here, the idea is considered wrong and risk should be cut.
Example: A seatbelt for the trade. You hope not to use it; if price breaks your line, you exit rather than hope.
First planned profit-taking / objective level on the idea.
Example: Driving to a city 300 km away with a first rest stop at 100 km. T1 is that first planned stop — not the only possible destination.
Estimated trading days to reach T1 (ATR √time). Parkhu swing holds are 3–22 trading days (~1 month max). Names needing longer to T1 are dropped.
Example: Like booking a trip that must finish within a month. If the plan needs six weeks to the first destination, it doesn’t make the list.
How much upside to T1 versus downside to stop. Often shown as a ratio (e.g. 2 means ~2× reward vs risk to T1).
Example: Risk ₹1 to try to make ₹2. R:R = 2. Casino odds flipped in your favor — still no guarantee you win the hand.
Monitor only — interesting enough to track, not a green light to add risk today.
Example: Bookmarking a sale page. You’re interested; you haven’t checked out.
The sector bucket used for crowding checks (how many open/idea names sit in the same theme). Not a capital % allocation.
Example: Already holding three bank stocks and the new idea is also a bank — that’s stacking the same shelf in your fridge.
Live tracked suggestions as of the selected date — entry vs last price, P&L%, MFE, MAE. Empty before the first tracked idea is normal.
Example: Your open food-delivery orders screen. Nothing open ≠ broken app; it just means no active orders that day.
Profit or loss percent from entry to the latest price (as stored for that ledger row).
Example: Bought at 100, last at 105 → about +5% P&L. Simple mark — not your broker’s full tax/fee statement.
Best unrealized gain % the idea saw while open — how far it ran in your favor at its peak.
Example: Your trade was +12% at the high, now +3%. MFE = 12%. Like a hike that reached a great viewpoint, then walked back down a bit.
Worst unrealized drawdown % while open — how deep it went against you at its low.
Example: Trade dipped −8% then recovered to flat. MAE = −8%. That was the deepest “ouch” so far — useful for checking if stops/entries were realistic.
Flags that something on the open book wants a decision first (earnings window, missing data, process alerts) before adding new risk.
Example: A phone notification “package stuck at customs.” Clear that before ordering five more packages.
Groq’s high-level posture for the session (e.g. defensive / neutral / selective aggressive). Commentary only — levels still come from Parkhu gates.
Example: A coach saying “play defense today” vs “look for good shots.” Advice for tone — not a substitute for the scoreboard (regime + ideas).
consider_entryAI action hint: setup looks worth considering for entry — still your/Claude’s call on capital.
Example: A friend texts “this café looks good if you’re hungry.” Not an order to walk in and eat.
watch (AI action)AI action hint: keep on radar; don’t treat as an immediate entry push.
Example: Adding a show to your Watch Later list.
stand_asideAI action hint: stay out for now — conditions or setup don’t justify new risk.
Example: Skipping a rainy trek. You can revisit when the trail dries.
manage_openAI action hint: focus on an already-open idea (trail, trim, respect stop) rather than hunting new names.
Example: Fixing the leak in your current house before shopping for a second one.
Claude owns capital, sizing, and final trade decisions from the research pack. Groq adds an optional narrative overlay (stance, brief, suggestions) with entry/stop/T1 stamped from Parkhu — skip-safe if offline.
Example: Claude = portfolio manager. Groq = junior desk note taped on the pack. If the note is missing, the pack still stands.
Headline Indian equity indices — broad market (Nifty) and banking-heavy (Bank Nifty).
Example: Like the Sensex’s cousins on the dashboard — quick “is the market up or down?” gauges.
The scored factors / weights behind Parkhu scores — coverage % refers to these.
Example: The recipe card behind the dish. Missing ingredients → coverage drops.
India Standard Time — timestamps on the desk are usually in IST.
Example: “Generated 15:40 IST” means afternoon India time, not your laptop’s local zone if you’re abroad.
Indian unit for large sums: 1 crore = 10 million. Flow charts often use ₹ crore.
Example: FII net −1,200 ₹ cr ≈ foreigners were net sellers by that amount that day (order of magnitude cue, not your P&L).
Position size and rupee risk. Intentionally not shown on the public desk — those decisions stay with Claude / your process.
Example: The menu lists dishes and prices of ingredients (levels), but not how many plates you should order for your table.