Before a single number on this dashboard makes sense, you need to understand the game we are playing. So let us start there.
You know how insurance companies make money? They collect premiums from people who are afraid something bad might happen. Most of the time, nothing happens. The insurance company keeps the premium. Occasionally something does happen, and they pay out—but because they chose their risks carefully, they come out ahead over time.
That is exactly what we are doing with stocks.
We are selling insurance to other people in the stock market. Specifically, we sell put options—which are insurance contracts that say: “If this stock falls below a certain price, I promise to buy it from you at that price.”
For making that promise, we get paid a premium upfront. That premium is ours to keep no matter what happens.
Now here is the beautiful part—and this is what separates this from gambling:
This cycle—sell puts → get assigned → sell calls → stock gets called away → sell puts again—is called The Wheel Strategy.
Three structural edges are working in your favor:
This dashboard answers three questions every single day:
Every number you see exists to help answer one of these three questions. Let us go through them all.
These answer: “Is this a company I would be comfortable owning if things go wrong?”
This is your safety net. The whole strategy breaks down if you sell puts on garbage companies that keep falling. Fundamentals tell you whether the company underneath the stock is healthy.
What it is: The current market price of one share.
Why it matters here: This is your anchor. Every other number—strike distance, yield percentage, margin—is calculated relative to this. It is also what determines whether your put is in danger of assignment. If you sold a put at strike ₹1,200 and the price is ₹1,350, you are comfortable. If it is ₹1,180, you need to pay attention.
What it is: How many years of current earnings you are paying for when you buy the stock. A P/E of 20 means the stock is priced at 20 times its annual earnings.
Why it matters here: We are selling insurance on these stocks. If we get assigned (forced to buy), we want to own something that is reasonably priced. A stock with a P/E of 15 has more room to absorb bad news than one trading at 80x earnings. The expensive stock can fall much further.
| P/E Range | Reading | Implication for CSP |
|---|---|---|
| Below 15 | Cheap | Low downside risk, market is not excited |
| 15–25 | Fair | Most solid large-caps live here |
| 25–40 | Pricey | Growth expectations baked in, more risk |
| Above 50 | Expensive | If the story breaks, the fall will be steep |
What it is: How much you are paying relative to the company net asset value (what it owns minus what it owes). A P/B of 3 means you are paying 3x the book value.
Why it matters here: Book value is a floor of sorts. If a company trades at 1x book, in theory you are buying its assets at cost. For our strategy, lower P/B means a firmer floor under the stock—less distance to fall in a worst case.
Where it is most useful: Banks, NBFCs, and capital-heavy businesses where book value is meaningful. For IT and pharma, book value is less relevant because their value is in intangibles (talent, patents, brands).
What it is: How much profit the company generates with the money shareholders have invested. An ROE of 20% means for every ₹100 of shareholder equity, the company earns ₹20.
Why it matters here: This is probably the single best number to judge business quality. High ROE means the company is good at making money. When we get assigned on a high-ROE stock, we own a business that generates wealth—it is likely to recover and grow.
| ROE | Reading |
|---|---|
| Above 20% | Excellent business. Strong competitive advantage. |
| 15–20% | Good. Solid operator. |
| 10–15% | Average. Not bad, not special. |
| Below 10% | Mediocre. Company is not doing much with your capital. |
What it is: How much debt the company has relative to shareholder equity. A D/E of 0.5 means for every ₹100 of equity, there is ₹50 of debt.
Why it matters here: Debt is what kills companies during downturns. When we sell puts, we are betting a stock will not crash. Heavily indebted companies are more likely to crash during tight credit conditions, bad quarters, or sector downturns. Debt magnifies both gains and losses.
| D/E Range | Reading |
|---|---|
| Below 0.5 | Conservative. Can weather storms. |
| 0.5–1.0 | Moderate. Reasonable use of leverage. |
| Above 2.0 | High. One bad quarter and equity gets destroyed. |
What it is: Annual dividend as a percentage of current stock price. If a stock costs ₹100 and pays ₹2 in dividends per year, dividend yield is 2%.
Why it matters here: Two reasons. First, a company that pays regular dividends is usually stable and profitable—good characteristics for our strategy. Second, if we get assigned and hold the stock, we collect dividends on top of the covered call premiums we will be selling. It is another income stream layered into the wheel.
What it is: What percentage of the company is owned by its founders/promoters.
Why it matters here: Promoters have the most information about the company and the most at stake. High promoter holding (above 50%) signals that the people who know the company best believe in it enough to keep their wealth tied up in it. Low promoter holding, or worse, declining promoter holding, can signal trouble.
What it is: Total market value of all the company shares.
Why it matters here: We only scan Nifty 50 stocks, so everything here is large-cap (above ₹50,000 crores typically). This is deliberate. Large-cap stocks have:
What it is: The industry the company operates in.
Why it matters here: Diversification. If your top 5 CSP candidates are all banking stocks, you have concentrated sector risk. One RBI policy change could hit all five simultaneously. The dashboard shows sector breakdowns so you can consciously spread your risk.
These answer: “Is the stock trending up, down, or sideways? Am I selling into a falling knife?”
Fundamentals tell you what to sell puts on. Technicals tell you when the price action is favorable.
What it is: The highest price the stock touched in the past year, and how far the current price is from that peak.
Why it matters here: This gives you context about the stock recent journey.
| Distance | Interpretation |
|---|---|
| Within 5% | Strong. Uptrend intact. Puts are relatively safe. Premiums may be lower. |
| 10–20% below | Pulled back. Often the sweet spot—premiums are juicier but no freefall. |
| More than 30% | Something is wrong, or the whole market is crashing. Fat premiums but real risk. |
What they are: The average closing price over the past 20 and 50 trading days, respectively.
Why they matter here: These are trend filters. They smooth out daily noise and show you the direction.
What it is: A momentum oscillator that measures the speed and magnitude of recent price changes, expressed as a number from 0 to 100.
Why it matters here: RSI tells you if a stock has been bought too aggressively (overbought) or sold too aggressively (oversold).
| RSI | State | Implication for CSP |
|---|---|---|
| Below 30 | Oversold | Worst selling may be over, premiums elevated. If assigned, buying near a bottom. |
| 40–60 | Neutral | Stock moving normally. Safe territory. |
| Above 70 | Overbought | Stock has run up. Might pull back. Low premiums. |
| Above 80 | Very overbought | Pullback likely. Avoid new CSPs. |
These answer: “How much will I get paid, and what is the risk?”
This is where the actual money is made. Everything above is context. This section is the trade itself.
What it is: The price at which you are promising to buy the stock if the option gets exercised. When you sell a put with a strike of ₹1,200, you are saying: “I will buy this stock at ₹1,200 per share if it falls to that level.”
Why it matters: The strike determines both your income and your risk.
What it is: How far below the current price your strike is, expressed as a percentage.
| Distance | Stance | Guidance |
|---|---|---|
| 2–5% | Aggressive | High yield but thin cushion. |
| 5–10% | Balanced | Good premium-to-risk ratio. The sweet spot. |
| 10–15% | Conservative | Lower yield but significant protection. |
What it is: The price of the option—what someone is paying you to take on the obligation. LTP stands for Last Traded Price.
Why it matters: This is your income. When you sell one put contract, you receive Premium × Lot Size in cash, immediately. That money is yours no matter what happens.
Bid and Ask: The bid is what buyers are willing to pay. The ask is what sellers want. The LTP might be between them. When you actually sell, you will likely get closer to the bid. The dashboard shows both so you can estimate realistic fills.
What it is: Your return on the margin/capital blocked, expressed as a monthly percentage.
Why it matters: This is the number that makes or breaks the strategy. It normalizes everything—different stocks, different lot sizes, different margins—into one comparable number.
| Yield | Reading |
|---|---|
| Above 3% | Excellent. The market is frightened and paying generously. |
| 2–3% | Good. Bread-and-butter territory. Most profitable trades live here. |
| 1–2% | Acceptable. You need conviction in the stock. |
| Below 1% | Usually not worth the capital lock-up. |
What it is: How much capital your broker will block as collateral for the put you sold. This is the “cash-secured” part of Cash-Secured Put.
Why it matters: This is your capital deployed. It determines your yield and your position sizing.
How it is calculated: The dashboard estimates margin as 20% of (Strike × Lot Size). Actual margins from your broker (fetched from Kite when logged in) may differ—SEBI SPAN + exposure margins are dynamic.
What it is: The minimum number of shares per option contract. You can only sell in multiples of the lot size.
Why it matters: Lot size determines the minimum capital required. Reliance has a lot size of 250—at ₹1,300, one lot represents ₹3.25L of stock. Your margin for one lot might be ₹65,000+. Stocks with larger lot sizes or higher prices need more capital.
What it is: Number of calendar days until the option contract expires.
Why it matters more than you think: Options do not lose value linearly. Time decay (theta) accelerates as expiry approaches. This creates a sweet spot:
| DTE | Interpretation |
|---|---|
| 30–45 | The golden zone. Steepest theta curve. Enough recovery time. Best entry. |
| 20–30 | Acceptable. Theta accelerating but gamma risk increasing. |
| Below 15 | High risk for new positions. Gamma amplifies moves. |
| Above 45 | Capital tied up longer. Theta decay is slower. |
What it is: The market forecast of how much the stock will move over the life of the option, expressed as an annualized percentage.
IV of 25% means the market expects the stock could move about 25% over the next year (or roughly 7.2% in a month). Higher IV → more expected movement → higher option prices → more premium for you.
Where does IV come from in the dashboard?
When Kite is connected, the dashboard takes the actual market price of each put option and reverse-engineers what volatility assumption would produce that price using the Black-Scholes formula. This is called “solving for IV.” The market price embeds the collective fear/greed of every participant—IV extracts that sentiment into a single number.
The Black-Scholes put price is:
Given the market price P, the dashboard numerically solves for σ (IV).
When Kite is not connected, the dashboard estimates IV from historical price movements (HV) and scales it up by roughly 18% (because IV is typically higher than HV—the “fear premium”).
| IV Range | Reading |
|---|---|
| 15–25% | Low IV. Market is calm. Thin premiums. Not the best time to sell. |
| 25–40% | Moderate. Good premiums without excessive risk. The sweet spot. |
| 40–60% | High. Something is spooking the market. Fat premiums but real risk. |
| Above 60% | Very high. Enormous premiums but violent moves possible. |
The Greeks are sensitivity measures. They tell you how your option position will behave as things change.
What it is: How much the option price changes for a ₹1 move in the stock. A put delta of -0.20 means if the stock falls ₹1, the put becomes ₹0.20 more expensive (bad for you as the seller).
Delta also roughly approximates the probability of assignment:
| |Δ| Range | Stance | Meaning |
|---|---|---|
| 0.10–0.20 | Conservative | 10–20% probability of assignment |
| 0.20–0.35 | Balanced | 20–35% probability |
| Beyond 0.35 | Aggressive | >35% chance of assignment |
What it is: How much the option price decreases per day just from the passage of time.
Why it matters: Theta is your daily paycheck. When you sell a put with theta of -₹2.50, that means the option is losing ₹2.50 in value every single day. Since you sold it, that ₹2.50 is flowing into your pocket.
What it is: How fast delta changes as the stock moves. High gamma means delta is unstable—a small move in the stock can dramatically change your risk profile.
Why it matters: Gamma is highest for ATM options near expiry. This is why selling puts in the last week before expiry is dangerous—if the stock moves against you, your loss accelerates rapidly because gamma amplifies the move.
What it is: How much the option price changes for a 1% change in IV.
Why it matters: After you sell a put, if IV increases (market gets scared), the option becomes more expensive—bad for you (you would lose money if you tried to close). If IV decreases (market calms), the option gets cheaper—good for you.
What it is: The total number of open contracts at a particular strike price.
Why it matters: High OI means lots of market participants are positioned at this strike. This has two implications:
What it is: The ratio of put OI to call OI.
| PCR | Interpretation |
|---|---|
| > 1.0 | More puts than calls. Actually bullish—heavy put OI creates support cushion. |
| 0.8–1.2 | Normal. Balanced sentiment. |
| < 0.7 | More calls than puts. Complacency or speculative upside bets. |
This answers: “Among all 50 stocks, which are the best candidates right now?”
Each stock gets three sub-scores on a 0–100 scale:
| Grade | Score | What It Means |
|---|---|---|
| A+ | 85+ | Exceptional candidate. Strong on all three pillars. |
| A | 75–85 | Very good. Minor weakness in one area at most. |
| B+ | 65–75 | Good. Solid candidate with some imperfections. |
| B | 55–65 | Average. Tradeable but not exciting. |
| C | 45–55 | Below average. At least one pillar is weak. |
| D | 35–45 | Poor. Multiple weaknesses. Strong conviction required. |
| F | Below 35 | Avoid. The stock fails too many criteria. |
Now that you understand every number, here is how they come together in practice.
On each stock detail page:
If most signals align, enter the trade. If signals are mixed, reduce your position size (fewer lots) or wait.
Once you have sold a put:
Now that you own the stock:
If the stock rises above your call strike at expiry, your shares are sold. You have now completed one full wheel rotation:
Now go back to Stage 1. The wheel turns again.
No amount of analysis helps if you ignore these:
This strategy is not about getting rich quickly. It is about building a systematic, repeatable income stream that compounds over years. Some months will be boring—you will collect small premiums on stable stocks and wonder if it is worth the effort. Some months will be exciting—a market correction will hand you fat premiums and you will enter positions that yield 3–4% in 30 days.
The discipline is in treating both months the same way. Follow the data. Follow the process. Let the numbers on this dashboard guide you, not your emotions.
Every professional option seller will tell you: the first year is about learning. The second year is about consistency. The third year is when compounding becomes visible. Be patient with yourself.
The dashboard will get smarter with every scan you run. Your IV history will deepen. Your intuition for what makes a good trade will sharpen. And one day you will glance at a stock timing signals and know—without needing to think about it—whether it is time to sell or wait.
That is the goal. Not to predict the market. Just to consistently be on the right side of probability, collect premium, and let time do the heavy lifting.
Good luck. Trade safe. Be patient.
| Parameter | Ideal Range | Why |
|---|---|---|
| Grade | A+ to B+ | Quality filter |
| IV Rank | > 50% | Rich premiums |
| RSI | 30–60 | Neutral to oversold |
| DTE | 30–45 days | Optimal theta |
| Strike Distance | 5–10% | Balanced risk/reward |
| |Δ| | 0.15–0.25 | 15–25% assignment probability |
| Monthly Yield | > 1.5% | Minimum return threshold |
| Earnings | > 21 days away | No event risk |
| Timing Score | > 55 | Multiple signals aligned |
| Data | Source | Availability |
|---|---|---|
| Price, fundamentals, technicals | Yahoo Finance | Always available |
| Live option chain, Greeks, IV | Kite API | When logged in |
| ATM IV, IV Skew, OI | Kite option chain | When logged in |
| India VIX | Kite (NSE:INDIA VIX) | When logged in |
| IV Rank (real) | Stored Kite IV history | After 10+ daily scans |
| IV Rank (proxy) | Historical volatility | Immediate (fallback) |
| Earnings date | Yahoo Finance calendar | When available |
| Formula | Expression | Purpose |
|---|---|---|
| Monthly Yield | (P × L / M) × 100 | Income measurement |
| Cost Basis | K - P | Assignment price |
| IV Rank | (σcurrent - σlow) / (σhigh - σlow) × 100 | Timing |
| Safety Margin | (S - K) / S × 100 | Risk measurement |
where P = premium, L = lot size, M = margin, K = strike, S = spot price, σ = implied volatility.