Options Education Center — Greeks, Volatility, Strategy & Scanning
A practical, visual guide to options trading: contract mechanics, payoff diagrams, the Greeks, implied volatility, risk management, catalysts, reversal and breakout signals, and the ConvexRadar scanner workflow.
Original educational content for research only. This is not financial, tax, legal, or investment advice, and nothing here promises a trade outcome.
Options Basics
An option is a contract on the right to trade 100 shares at a fixed price before a deadline. Master five ideas first: rights vs obligations, strike, expiration, premium and break-even, and the split between intrinsic and extrinsic value.
Calls vs puts: rights and obligations
A call buyer pays premium for the right (not the obligation) to buy 100 shares at the strike. A put buyer pays for the right to sell 100 shares at the strike. The seller of either collects premium and takes on the matching obligation: a short call may be forced to deliver shares, a short put may be forced to buy them.
Strike price
The strike is the fixed price the contract references. It anchors moneyness: a call is in-the-money when spot is above the strike; a put is in-the-money when spot is below it. Strike choice trades probability against payoff, lower-probability strikes cost less but need a larger move.
Expiration
Expiration is the deadline for the thesis to play out. Time is an asset for the seller and a cost for the buyer: every day that passes, extrinsic value erodes (theta). Shorter-dated contracts move faster per dollar but leave little room for being early.
Premium and break-even
Premium is the per-share price paid or collected, multiplied by 100 per contract. For a long call, break-even at expiration is strike + premium; for a long put it is strike − premium. Break-even is a checkpoint, not a plan, you still need an exit, an invalidation level, and a catalyst window.
Intrinsic vs extrinsic value
Intrinsic value is the in-the-money amount that could be realized right now: max(spot − strike, 0) for a call. Extrinsic value is everything else, time, implied volatility, and demand. A directionally correct trade can still lose if extrinsic value collapses faster than intrinsic value builds.
Liquidity: volume, OI, spread
Volume is contracts traded today; open interest is contracts still outstanding; the bid/ask spread is the round-trip cost to enter and exit. Tight spreads with healthy volume and OI mean a theoretical edge is actually capturable. Illiquid strikes turn paper profits into trapped positions.
Assignment and exercise
Exercise is the long holder converting the contract into shares; assignment is a short holder being forced to fulfill the obligation. US equity options are American-style, so assignment can hit early, most often near expiration, around ex-dividend dates, and on deep in-the-money short calls.
Contract mechanics
One standard contract controls 100 shares, so a 2.50 premium quote costs 250 dollars. Multiplier, settlement style (shares vs cash), and adjustments after splits or special dividends all change what you actually own, read the contract specs before sizing.
Moneyness relative to spot (spot = $100)
A call gains intrinsic value when the strike sits below spot; a put gains it when the strike sits above spot. The two scales are mirror images around the at-the-money point.
Intrinsic + extrinsic value, and time decay
Here premium 8 = intrinsic 5 (spot 105 minus strike 100) + extrinsic 3. Extrinsic value decays faster as expiration nears (the curve steepens), reaching zero at expiry, leaving only intrinsic value behind.
Read the chain like a checklist
Confirm moneyness: is the strike ITM, ATM, or OTM versus spot?
Split the premium into intrinsic and extrinsic before judging value.
Check spread, volume, and open interest on the exact strike, not the underlying.
Map break-even, then ask whether the catalyst can clear it in time.
If short, plan for early assignment around dividends and deep-ITM strikes.
Quick reference
Call BEStrike + premium paid (long call, at expiration).
Put BEStrike − premium paid (long put, at expiration).
A payoff diagram is the single most useful picture in options: it maps every possible price of the underlying at expiration to your profit or loss, so you can see your risk before you ever place the trade.
How to read every chart on this page
Each diagram below shares one grammar. The horizontal axis is the price of the underlying at expiration — not today, not next week, but the very last moment the option exists. The vertical axis is your profit or loss in dollars, already net of the premium you paid or received. The flat horizontal line through the middle is the zero line: above it you are green (in profit), below it you are red (in a loss).
The payoff line itself is a hockey stick. Options have a strike price, and the line kinks at each strike because that is where the option starts (or stops) paying out. A long option has limited loss and a sloped profit leg; a short option has limited profit and a sloped loss leg. Read three numbers off every chart: the break-even (where the line crosses zero), the max profit (the highest the line reaches), and the max loss (the lowest it reaches).
Break-evenunderlying price where P/L = 0
Max profitbest outcome at expiration
Max lossworst outcome at expiration
Kinka strike price — slope changes here
Why the line bends where it does
A call is worth max(0, price − strike) at expiration; a put is worth max(0, strike − price). Those max functions are exactly what produce the flat-then-sloped shape. Below a call's strike the call expires worthless, so the line is flat; above it, every dollar of underlying adds a dollar of intrinsic value, so the line slopes up at 45 degrees.
When you combine legs — buy one strike, sell another — you add the individual payoff lines together. The result is a piecewise-linear path with a kink at every strike involved. A vertical spread has two kinks; an iron condor has four. The diagrams below show the net position, premium included, which is the only line that tells you whether the trade actually makes money.
Profit regionLoss regionPayoff at expirationBreak-even / strike
Single-leg structures
Long call
Bullish. Max gain unlimited as price rises. Max loss the $5 premium paid. Break-even = strike + premium = 105.
Long put
Bearish. Max gain strike − premium (price to zero). Max loss the $5 premium paid. Break-even = strike − premium = 95.
Long straddle
Volatility / big move either way. Max gain large on a large move. Max loss the $10 total premium at the strike. Break-evens = strike ± total premium = 90 and 110.
Stock-plus-option (income) structures
Covered call
Neutral-to-mildly-bullish on owned stock. Bought at 100, sold a 110 call for $3. Max gain (110 − 100) + 3 = $13 if called away. Max loss large if stock falls to zero (cushioned $3). Break-even = cost − premium = 97.
Cash-secured put
Willing-to-own / bullish-neutral. Sold a 100 put for $4 with cash set aside. Max gain the $4 premium kept above 100. Max loss large if assigned and stock falls toward zero. Break-even = strike − premium = 96.
Defined-risk vertical spreads
Bull call (debit) spread
Moderately bullish, defined risk. Buy 100 call / sell 110 call for $4 net debit. Max gain (width − debit) = 10 − 4 = $6. Max loss the $4 debit. Break-even = lower strike + debit = 104.
Bear put (debit) spread
Moderately bearish, defined risk. Buy 100 put / sell 90 put for $4 net debit. Max gain (width − debit) = 10 − 4 = $6. Max loss the $4 debit. Break-even = upper strike − debit = 96.
Four-leg, fully defined risk
Iron condor
Neutral / range-bound, low volatility. Sell 95 put & 105 call, buy 90 put & 110 call for $2 net credit (5-wide wings). Max gain the $2 credit while price stays between 95 and 105. Max loss (wing width − credit) = 5 − 2 = $3. Break-evens = short strikes ± credit = 93 and 107.
The two questions every diagram answers
Before you place any trade, the payoff diagram forces two decisions to the surface. First: where do I need the underlying to go, and by how much? A long call needs a real move up past the break-even, not just a finish above the strike — the premium is a hurdle. Second: what is the worst case, and can I survive it? Debit structures (long options, debit spreads) cap your loss at what you paid, which is why they are the safest place to start. Credit and stock-based structures (covered call, cash-secured put, iron condor) win small and often, but their loss leg is the steep one — respect it.
One thing the diagram hides
Every chart here is drawn at expiration, where only intrinsic value remains and the line is perfectly piecewise-linear. Before expiration the true value of an option also contains time value and is sensitive to implied volatility, so the live P/L curve is a smooth, rounded version of these hockey sticks that gradually decays toward the kinked shape as expiration approaches. That is why a long straddle can lose money even when the stock moves — if implied volatility collapses faster than the move delivers. Use the expiration diagram to understand your structural risk; use the Greeks (covered elsewhere in this center) to understand the journey to get there.
Structure
View
Max loss
Long call / put
Directional
Premium paid
Covered call
Mild bull
Large (stock)
Cash-secured put
Bull / own
Large (assigned)
Debit spread
Moderate dir.
Net debit
Long straddle
Big move
Total premium
Iron condor
Range-bound
Width − credit
The Greeks
The Greeks are the rate-of-change dials of an option — they tell you how its price reacts to the underlying moving, time passing, and volatility shifting.
An option’s price is not a single number frozen in place; it is a living function of several inputs at once. The Greeks are partial derivatives — each one isolates one input and asks: if only this changes, how much does my option move? Master them and a position stops being a lottery ticket and becomes a set of exposures you can measure, size, and hedge. The four that matter most for directional and volatility traders are Delta, Gamma, Theta, and Vega.
Delta — ∂Price / ∂Spot
How much the option moves per $1 move in the underlying. A call has delta between 0 and +1; a put between 0 and −1. A delta of 0.45 means the option gains roughly $0.45 (per share) when the stock rises $1. Delta also doubles as a rough probability of finishing in-the-money and as your share-equivalent exposure: one 0.45-delta call behaves like 45 shares of stock for small moves.
Deep ITM call→ delta near +1.00
At-the-money call→ delta near +0.50
Far OTM call→ delta near 0.00
Gamma — ∂Delta / ∂Spot
How fast delta itself changes as the underlying moves. Gamma is the curvature of your position. It is largest at-the-money and shrinks toward zero deep ITM or far OTM, where delta is already pinned near 1 or 0. Long options are +gamma: your delta grows in your favor as the move extends — you get longer into rallies and shorter into selloffs. That convexity is the whole appeal of owning options, and it is what short sellers pay theta to avoid.
Peak gamma→ at-the-money
Long option gamma→ positive (+)
Highest near expiry→ ATM gamma spikes
Theta — ∂Price / ∂Time
How much value the option bleeds as one day passes, all else equal. Only extrinsic (time) value decays — intrinsic value does not. Long options are −theta: you pay rent every day to hold convexity. Decay is not linear; it accelerates into expiration, and for at-the-money options the curve steepens sharply in the final weeks. Sellers harvest this; buyers must overcome it with a move large enough, soon enough.
Long option theta→ negative (−)
Decay over time→ accelerates near expiry
Decays→ extrinsic value only
Vega — ∂Price / ∂IV
How much the option moves per 1-point change in implied volatility. Higher IV means a wider expected range, so every option is worth more — long options are +vega. Vega is largest for at-the-money strikes and for longer-dated options, because more time and more uncertainty give volatility more room to matter. Buy options when IV is cheap; selling rich IV is how premium sellers earn their edge. An IV crush after earnings can sink a correctly-directioned trade.
Long option vega→ positive (+)
Largest vega→ ATM & long-dated
IV crush risk→ post-earnings drop
Sign cheat-sheet for a long single option
Greek
Measures sensitivity to
Long call
Long put
Trader takeaway
Delta
Underlying price
+ (0 to +1)
− (0 to −1)
Directional exposure & share-equivalent
Gamma
Delta’s rate of change
+
+
Convexity — you get longer/shorter automatically
Theta
Passage of time
−
−
Daily rent for holding optionality
Vega
Implied volatility
+
+
You profit if IV rises, lose if it crushes
Buying any single option means you are long gamma, long vega, and short theta — you own convexity and a volatility view, and you pay for both with time decay.
Delta — call (S-curve, 0 to 1)
Delta climbs from 0 (far OTM) through 0.5 (ATM) to 1 (deep ITM). A put’s delta mirrors this, running 0 to −1.
Gamma — bell peaked at-the-money
Curvature is concentrated at-the-money and fades to nearly zero deep ITM or far OTM, where delta is already pinned.
Theta — extrinsic value decay into expiry
Decay is gentle when expiry is distant, then steepens sharply in the final weeks — the slope of this curve is theta, and it grows more negative as expiration nears.
Vega — option value rises with IV
Value rises as IV rises (positive vega). The steeper cyan line is a longer-dated ATM option, whose larger vega makes it far more IV-sensitive than the shorter-dated dashed line.
Long-dated ATM (big vega)Short-dated (small vega)
Putting it together
The Greeks interact. Gamma is the engine that changes your delta, so a high-gamma position demands more frequent re-hedging. Theta and gamma are two sides of one coin: the convexity you enjoy from long gamma is exactly what you rent with negative theta. And vega tells you how exposed you are to a re-pricing of fear — the input no chart of the stock will warn you about.
Long options → +gamma, +vega, −theta. You own convexity and volatility; you pay with time.
Short options → −gamma, −vega, +theta. You collect rent but are short convexity and exposed to IV spikes.
ATM strikes carry the most gamma and the most vega — the most sensitive, most expensive place to be.
Worked example
You buy a 30-day ATM call with delta 0.50, gamma 0.06, theta −0.04, vega 0.12, on a $100 stock.
Stock rises $1→ call gains about $0.50
…and new delta→ 0.50 + 0.06 = 0.56
One day passes→ lose about $0.04
IV rises 1 point→ gain about $0.12
Notice the asymmetry: because of positive gamma, your delta grows toward 1 as the stock keeps rising, so each successive dollar earns you more — while your loss per dollar on the downside shrinks. That is convexity working for you, and the daily theta is the price of admission.
Implied Volatility
Implied volatility is the option market's forecast of future movement, priced into every premium. It is the single variable you do not observe directly — and the one that most often decides whether a directionally correct trade still loses money.
What IV actually is
IV is the volatility number that, fed into a pricing model, reproduces the option's current market price. It is forward-looking and annualized. Higher IV means richer premium because the market expects a wider range of outcomes.
IV is not direction
High IV says big move expected, not up or down. Calls and puts both inflate. You can be right on direction and still lose if you overpaid for volatility that then deflates.
Why buyers fear it
Long options carry positive vega: they gain when IV rises and lose when IV falls. Buy a contract while IV is elevated and a drop in IV alone can erase value even if the stock cooperates.
IV Crush — volatility collapses the morning after earnings
The classic trap: IV inflates for days before earnings as demand for protection and lottery tickets builds. Once the result is public, uncertainty vanishes overnight and IV collapses. A long call can lose even though the stock gapped up — the vega loss from the crush outweighs the delta gain from the move.
Volatility Skew — equities pay up for downside protection
For most single stocks and indices the curve is not a flat line. Out-of-the-money puts trade at a higher IV than equidistant calls because investors persistently bid for crash protection. This asymmetric “smirk” means downside strikes are structurally more expensive — relevant when choosing which leg to buy versus sell.
Historical IV rank — an educational example
Historical IV rank places current IV within a defined historical low-to-high range. This diagram uses illustrative values to explain that concept. ConvexRadar does not currently calculate historical IV rank: the scanner’s legacy “IV Rank” field is a normalized, clipped current-IV value. Neither reading establishes that an option is mispriced or determines which strategy is appropriate.
Term Structure — IV across days to expiration
Term structure plots IV against expiration. The normal shape is gentle contango — longer-dated options carry higher IV because more can happen over time. When a near-dated expiry straddles an event, its IV spikes above the smooth curve. An inverted (backwardated) front end usually signals near-term stress that the market expects to fade.
Use volatility context without assuming value
Lower current IV: this does not establish historical cheapness. Review premium, expiration, liquidity and the underlying before considering a structure.
Higher current IV: this may reflect event risk or uncertainty. A high reading alone does not justify selling premium or establish that volatility will fall.
A known catalyst: implied volatility can change sharply after new information. Consider both price movement and volatility exposure; the outcome is uncertain.
Understand the metric. ConvexRadar’s legacy IV field uses current volatility, not a historical range. It is research context, not a buy or sell recommendation.
Vega, the crush, and the buyer's dilemma
VegaDollar change in option value per 1-point change in IV. Long options are vega-positive; short options vega-negative.
IV crushA fast IV collapse after an event resolves. Hits long buyers hardest because their vega exposure works against them.
Expected moveRoughly the ATM straddle price (or spot × IV × √(DTE/365)). The move the option market is pricing — your edge is having a different, defensible view.
SkewIV difference across strikes. Steep put skew makes downside puts pricier; sometimes better sold via spreads than bought outright.
Term structureIV across expirations. Calendars and diagonals trade the slope between two dates rather than pure direction.
Concept
What it tells you
Practical read
IV LEVEL
Absolute annualized volatility priced into options right now.
One input to option pricing. A current reading alone does not establish historical cheapness or value.
HISTORICAL IV RANK
Where current IV sits between its 52-week low and high (0–100).
A historical comparison, not a strategy recommendation. ConvexRadar’s legacy IV field does not calculate this measure.
IV CRUSH
Sharp post-event IV collapse that drains long-option value.
If you must be long through earnings, size for the crush or use spreads to cut vega exposure.
SKEW
IV difference between downside and upside strikes.
Steep put skew means crash protection is dear — consider selling the rich wing inside a defined-risk spread.
TERM STRUCTURE
IV across expirations; normally upward-sloping contango.
Backwardation flags near-term stress; an isolated bump flags an event in that expiry.
EXPECTED MOVE
The market-implied range over a period, from the ATM straddle.
Compare it to your own target. Edge exists only when your view differs from what is already priced.
Risk Management
Options reward you for being right, but they punish size, time and structure more than direction — so manage the downside first and let the upside take care of itself.
Most blown accounts are not the product of one terrible call. They are the product of correct ideas sized incorrectly, or correct ideas wrapped in the wrong structure. A trader can pick the right direction six times in ten and still grind to zero if the four losers are each three times larger than the winners. Risk management is the discipline that decides, before you click buy, exactly how much a wrong answer is allowed to cost.
The mental shift is this: stop asking “how much can I make?” and start with “how much can I lose, and is that loss survivable?” Every professional framework — defined vs. undefined risk, fixed fractional position sizing, the R-multiple — is just a different lens on that single question. A setup is not a trade until the downside, the size, the invalidation level and the exit plan are all written down. If any one of those is missing, you do not have a trade. You have a hope.
The risk-first checklist
A setup is incomplete until every box is checked. No exceptions, no “I’ll figure it out later.”
Max loss is written — the exact dollar amount you lose if this goes to zero or hits your stop.
Size is a fixed fraction — risk a small, constant % of the account (commonly 1–2%) per idea.
Invalidation is defined — the price or thesis level that says “I was wrong, get out.”
Exit plan exists for both sides — where you take profit and where you cut, decided in advance.
There is a catalyst — a reason this moves before theta decays the premium away.
Enough time — the thesis can play out before expiration, with buffer.
IV is sane — you are not buying the top of an event-driven IV spike.
Liquidity is real — tight spread, open interest, you can actually get out.
Common failure modes
The five ways a directionally correct trade still loses money.
Too short Buying weeklies for a thesis that needs a month. Theta and a slow start kill it before you are proven right.
Too far OTM Chasing cheap deltas. Cheap is cheap because it probably expires worthless — lottery odds dressed as a trade.
IV crush Buying premium into earnings or an event, getting the direction right, and still losing as implied vol collapses post-event.
Wide spread Illiquid contract. You pay up to enter and get sawed on the way out — the market maker, not the market, takes your edge.
No catalyst No reason to move on your timeline. The position just bleeds theta while you wait for something that never comes.
Defined risk — long call (capped max loss)
The most you can lose is known and finite — the premium you paid. Worst case is fully written before entry.
Undefined risk — short call (open-ended loss)
Profit is capped at the small premium collected, but a gap higher can cost a multiple of the account. Survivable only with a defined-risk hedge.
Defined vs. undefined risk is the first fork in the road. With a long call or put, or any spread, the worst case is a fixed number you can write on a sticky note. With a naked short option, the loss is open-ended — a single overnight gap can exceed everything you collected over months. New traders should live almost entirely in defined-risk structures, where the max-loss box on the payoff diagram is closed and finite. The whole point of the left diagram above is that you can put a hard dollar figure on the worst day; the right diagram is what happens when you cannot.
Position sizing is where defined risk becomes durable. Knowing your max loss per trade is useless if that loss is 40% of the account. The fix is fixed-fractional sizing: decide that any single idea may risk a small constant slice — say 1% — and let that rule set your contract count. Risk a constant fraction and a losing streak shrinks your bets automatically; risk a constant dollar amount and a streak can wipe you out. Combine the two ideas and you get the R-multiple: define one unit of risk (1R), then judge every trade by how many R it returns.
The R-multiple — one risk unit, scaled targets
1R is the dollar amount you lose if the stop hits. Targets are measured in R, so a 3R winner pays for three 1R losses.
Why a small % per trade limits drawdown
2% risk / trade10% risk / trade
Ten losses at 2% leaves ~82% of the account — recoverable. Ten at 10% leaves ~35% — you now need a 186% gain just to break even.
The recovery tax of deep drawdowns
Drawdown math is asymmetric. A 50% loss needs a 100% gain to recover; a 75% loss needs 300%. Small losses keep the math on your side.
Risk lever
The mistake
The discipline
Downside
“I’ll see how it goes” — no written max loss.
Prefer defined-risk structures; write the worst-case dollar figure before entry.
Size
Sizing by conviction or by what looks cheap.
Risk a fixed fraction (e.g. 1–2%). Let max-loss-per-contract set the count.
Invalidation
Holding because “it has to come back.”
Pre-define the price or thesis level that proves you wrong, and honor it.
Exit
Winging the exit in the heat of the move.
Decide profit target and cut level in advance; manage in R-multiples.
Edge decay
Wrong tenor, far OTM, IV crush, wide spread, no catalyst.
Buy enough time, sane strikes, reasonable IV, tight spreads, a real catalyst.
Put the math to work. The drawdown table above is the quiet reason small losses matter so much: recovery is non-linear. Lose 10% and you need an 11% gain to get whole — barely a tax. Lose 50% and you need to double your remaining capital. Lose 75% and you need to quadruple it. The deeper the hole, the steeper the climb, which is exactly why fixed-fractional sizing and finite max loss are not conservative hand-wringing — they are what keeps you in the game long enough for your edge to compound.
Write it before you risk it. Every framework here collapses into one habit. Before entry, on paper or in your journal, record four numbers and one sentence: the max loss in dollars, the position size as a % of account, the invalidation level, the exit plan, and the catalyst. If you cannot fill all five, the setup is not ready — and the cheapest risk you will ever manage is the trade you decline to take.
Analysis, Catalysts & Sectors
How traders read the tape: stitching technicals, fundamentals, catalysts, sector rotation and regime together so that options flow becomes one input among many — never a standalone signal.
Unusual options activity is loud, but loudness is not direction. A single sweep of out-of-the-money calls might be a hedge against a short book, a roll of an expiring position, a volatility play that is delta-neutral, or a genuine directional bet. The job of analysis is to place that flow inside a wider picture — price structure, the company’s fundamentals, the calendar of catalysts, where the sector and broad market sit — and ask whether independent lines of evidence point the same way. When they do, conviction rises. When they conflict, you size down or stand aside.
Technical analysis
Reads price and volume directly. Trend (higher highs / lower lows), support and resistance, moving averages, and momentum oscillators describe where price is and how it is behaving — the structure flow has to fight or ride.
Trend Is price above or below its 50/200-day average?
Levels Is the strike clustered at a known support/resistance?
Volume Does share volume confirm the move, or is it thin?
Fundamental analysis
Asks what the business is worth. Revenue growth, margins, guidance, balance sheet and valuation multiples set the longer-horizon backdrop. Flow that aligns with a clear fundamental story is more durable than flow fighting it.
Growth Revenue and earnings trajectory
Quality Margins, cash flow, debt load
Value Multiples vs. peers and history
News & catalysts
The clock matters. Earnings, product launches, regulatory rulings, FDA decisions, guidance updates and macro prints are scheduled or surprise events that reprice a name fast. Flow ahead of a dated catalyst carries different meaning than flow on a quiet day.
Scheduled Earnings, investor days, econ data
Binary FDA, court rulings, M&A votes
Surprise Headlines, downgrades, guidance cuts
Sector rotation
Capital moves between sectors as the cycle turns — into defensives when growth fears rise, into cyclicals and tech when risk appetite returns. A bullish name in a sector being abandoned faces a headwind no single chart shows.
Relative Sector ETF vs. the broad index
Breadth Are peers moving together?
Leadership Which sectors lead the tape today?
Market regime
The weather over everything. Trending vs. choppy, low-vol vs. high-vol, risk-on vs. risk-off. The same setup behaves differently when the VIX is 13 and grinding up than when it is 30 and whipsawing. Regime sets your odds and your sizing.
Vol VIX level and term structure
Trend Index above/below key averages
Tone Credit spreads, breadth, risk appetite
Options-flow context
What the contracts themselves imply. Was it a sweep across exchanges (urgency) or a passive block? Bought at the ask or sold at the bid? Calls or puts, and at what delta? Opening or closing? Flow is a footprint — useful only once you read its shape.
Aggression Sweep at ask vs. resting order
Intent Opening interest vs. closing
Structure Outright vs. spread vs. hedge
Confluence: where conviction actually comes from
One input lights up a single circle. Two or three overlapping is a setup worth watching. Only the center — flow, price structure, a dated catalyst, and a supportive sector/regime all agreeing — is true high-conviction territory. Most flow alerts live in a single circle, and that is exactly why flow is context, not proof.
The confluence meter: stacking independent evidence
Conviction is built, not declared. Start at the bottom with the flow alert; only add a layer when an independent source agrees. One layer is a watch-list note. Four stacked is a thesis. If a layer contradicts the others, you remove it — the stack shrinks rather than grows.
Sector rotation through the cycle
A stylized cycle clock. Leadership tends to rotate through these groups as the economy moves from recovery to expansion to slowdown. A bullish flow alert lands differently depending on whether its sector is rotating into favor or out of it — rotation is the tailwind or headwind behind the single name.
Market regime: the same setup, two different worlds
Identical bullish flow, two regimes. In a low-vol uptrend the path of least resistance is up and the signal has a tailwind. In high-vol chop, premium is expensive, moves reverse violently, and the same alert is far more likely to be noise. Regime is not a detail — it changes your odds and should change your size.
Reading a flow alert in context
When an unusual-activity alert fires, resist the urge to act on the headline. Walk it through the layers and let the evidence either stack or cancel. The questions below turn a raw alert into either a thesis or a pass.
Is the trade aggressive and opening (sweep at the ask, new open interest) or passive/closing?
Does price structure agree — is the strike a level price is already pushing toward?
Is there a dated catalyst the position lines up with, and does the expiry cover it?
Is the sector rotating in or out, and do peers confirm?
Does the regime support follow-through, or punish it?
Could this plausibly be a hedge or spread leg rather than a directional bet?
What flow can and cannot tell you
Flow can suggest
Flow cannot prove
Where size and urgency are showing up
That the trader is right
Which strikes/expiries are in play
The direction of the underlying
Rising interest in a name or theme
Whether it is a bet or a hedge
Possible positioning into a catalyst
The outcome of that catalyst
Shifts in implied volatility demand
Your edge or appropriate size
Treat every alert as a question, not an answer. Options flow is a footprint in the snow — it tells you something large passed by, but the surrounding terrain tells you where it was headed and whether to follow.
Reversal & Breakout Signals
How ConvexRadar reads supply/demand zones, RSI divergence, moving-average crosses, and candlestick patterns — as confluence and context, never as a crystal ball.
Every signal in this section answers one question: where is the balance of supply and demand shifting, and is the shift confirmed? No single indicator is a forecast. Combining chart observations can organize research, but it does not establish a predictive edge or proven historical performance. Consider the observations alongside explicit risk limits, position size and invalidation criteria.
ConvexRadar treats these as CONTEXT tags, not buy/sell commands. The Breakout scanner watches the 50/200 moving-average cross and only flags it when price confirms the move. The Reversal Radar looks for daily supply/demand zones, RSI, and MACD lining up, then waits for a 2-hour engulfing candle to mark the actual turn. The candle is the trigger; the rest is the reason to be looking.
Why confluence, not single signals
One indicator aloneWEAK EDGE
Two independent reads agreeCONTEXT
Zone + momentum + trigger candleCONFLUENCE
...with a defined stop & sizeTRADEABLE
A signal tells you where to look. Risk management is what actually keeps you in the game.
1. Supply & Demand Zones
Zones are areas, not lines. Demand is where buyers have repeatedly stepped in (support); supply is where sellers cap the move (resistance). A zone that holds twice is context; a clean break through a zone, on volume, flips it (old resistance becomes new support). ConvexRadar's Reversal Radar starts here, on the daily chart.
2. RSI Overbought/Oversold + Bearish Divergence
Bearish divergence: price prints a higher high but RSI prints a lower high — the move up is running on weaker momentum. RSI above 70 (overbought) / below 30 (oversold) is context, not a trigger: strong trends stay overbought for weeks. Divergence is a yellow flag to watch the zone, not a short signal on its own.
3. Golden Cross vs Death Cross (50/200 MA)
A golden cross (fast 50 climbs above slow 200) marks a regime turning bullish; a death cross turns it bearish. Both lag by design — they confirm a trend already underway rather than call the bottom or top. ConvexRadar's Breakout scanner flags the cross but only fires when price confirms (closes through the level), filtering out whipsaw crosses in choppy ranges.
4. Bullish vs Bearish Engulfing
A bullish engulfing is a small down candle followed by a larger up candle whose body fully covers the prior body — buyers overwhelmed sellers in one bar. Bearish engulfing is the mirror. The Reversal Radar uses the 2-hour engulfing as its trigger: the daily zone + RSI + MACD say where, the engulfing bar says now.
Bullish / demand / golden crossBearish / supply / death crossPrice / fast 50 MA / RSISlow 200 MA / divergence line
Breakout Scanner
Core signal50/200 CROSS
ConfirmationPRICE CLOSE
NatureTREND / LAGGING
Catches regime shifts and continuation breaks. Slow to turn, but the price-confirmation filter cuts the false starts that plague raw crossover systems.
Reversal Radar
LocationDAILY ZONE
MomentumRSI + MACD
Trigger2H ENGULFING
A confluence engine: it only highlights a turn when location, momentum, and a fresh trigger candle agree. Framed as evidence-based context, not a prediction.
Signal
What it reads
Honest evidence
Best use
Supply/Demand zone
Where buyers/sellers repeatedly act
Self-fulfilling at obvious levels; weak in isolation
Define entry area & stop placement
RSI overbought/oversold
Speed of recent moves
Stays pinned in strong trends — many false reversals
Caution flag, not a trigger
RSI divergence
Momentum vs price disagreement
Mixed backtests; better as confluence
Confirm a zone is weakening
Golden / death cross
50 vs 200 MA relationship
Lags; whipsaws in ranges
Regime filter for the Breakout scanner
Engulfing candle
One-bar control shift
Edge near zero without context
Timing trigger at a known zone
Reading a signal responsibly
Is this a known supply/demand zone, or random price?
Do at least two independent reads agree (location + momentum + trigger)?
Where is invalidation — the exact level that says "I'm wrong"?
Is my position size set so that level only costs a small, planned amount?
Am I treating the signal as context, not a guarantee?
The honest bottom line
Any single indicator here is, on its own, weakly evidenced — close to noise once you account for fees and false signals. ConvexRadar surfaces these as CONTEXT so you know where to look and why. The durable edge is the combination: confluence to raise the odds, plus disciplined stops and sizing so the inevitable wrong calls stay survivable. Signals find the setup; risk management keeps you trading long enough for the math to matter.
ConvexRadar Scanner Workflow
Treat the scanner as a research funnel, not a buy list. Start from the whole market, let contract pressure surface candidates, then verify each one against price, catalyst, and a written risk plan before anything reaches the order ticket.
The research funnel: from market universe to one risk-defined trade
UniverseOptionable names5000+
PressureV/OI, premium, squeeze, liquidity~40
ContextTrend, breakout level, reversal read~12
CatalystEarnings, news, filings, targets~4
Risk-defined tradeOne plan, sized and invalidated1
Counts are illustrative. Each gate removes far more than it keeps. The discipline is letting candidates fail a gate cheaply on the screen instead of expensively in your account.
01
Find pressure
Open the Scanner. Sort for unusual volume, a high V/OI ratio, large premium value, and a usable delta. Cross-check the Breakout Scanner for names pressing range edges and the Reversal Radar for stretched, mean-reverting setups. Pressure is a reason to look, not a reason to buy.
02
Verify context
Open the Option Chain and the chart. Confirm trend versus the 50/200 averages, the nearest support and resistance, and whether the flow agrees with the breakout or reversal read. Check the bid/ask spread and open interest so the contract can actually be entered and exited.
03
Confirm catalyst
Use the Calendar, News, Filings, and analyst Targets to explain the urgency. A catalyst inside your expiration window supports the thesis; a surprise event (earnings you missed) is a reason to widen risk or stand aside.
04
Define risk and log it
Write max loss, invalidation, time stop, target, and position size before entry. Save survivors to Favorites to monitor, and record every entry and exit in the P/L Journal so process quality, not a single outcome, drives the next decision.
Stage 1 detail: the pressure map (what the Scanner surfaces)
Illustrative contracts above the dashed line have day volume above the latest published open interest. Repeated trading and closing activity also count toward volume; this does not prove new positions. Estimated premium describes activity size, and the squeeze flag is a research heuristic, not a forecast.
Why survivors are rare: confluence stacks the gates
The gates organize different research questions. Passing several checks does not establish that they are statistically independent, predict an outcome, or validate a trade.
Pressure signals (V/OI, premium, liquidity)Context and squeeze (trend, breakout, reversal)Catalyst and risk-defined survivorFiltered out (failed a gate)
Scanner: pressure first
The Scanner is the wide mouth of the funnel. It reads contract pressure: how today's volume compares to standing open interest, the estimated premium associated with that activity, and the available liquidity measures. It answers "where is attention building," never "what will go up."
V/OIDay volume divided by the latest published open interest. Above 1 means volume exceeds that snapshot; it does not prove opening trades, fresh money or direction. Zero open interest makes the ratio undefined.
PREMEstimated premium, roughly volume times a reference price times 100 for standard contracts. It measures activity size, not conviction or confirmed cash exchanged.
SQZA score based on contract pressure, gamma per premium, liquidity and expiration. It does not measure dealer inventory or predict a squeeze.
The two directional scanners answer different questions. The Breakout Scanner finds names pressing range edges where continuation is the thesis. The Reversal Radar finds stretched, confluence-heavy setups and frames them as context, evidence that a move is extended, not a prediction that it turns.
BRKUse when flow agrees with a clean push through resistance or support.
REVUse to fade exhaustion only when several independent signals line up.
Chain, Calendar, and the close
The Option Chain turns a flagged ticker into a specific contract: the right strike, expiration, spread, and open interest. The Calendar, News, Filings, and Targets supply the catalyst. Favorites holds survivors for monitoring, and the P/L Journal closes the loop so the workflow compounds.
CHAINConfirm the exact contract is liquid and the delta fits the thesis.
LOGJournal every trade so edge is measured over a sample, not one result.
What each gate is allowed to do
Each gate has a narrow research role. Passing the funnel does not validate expected returns, and pressure or reversal conditions should not be treated as a guarantee.
Gate
Tool
Answers
Cannot tell you
Pressure
Scanner
Where positioning is building today
Which way it resolves
Trend
Breakout
Which names press range edges
That the break holds
Context
Reversal Radar
Where a move looks extended
The exact turn (it is context)
Contract
Option Chain
Strike, expiry, spread, OI fit
Whether the thesis is right
Catalyst
Calendar / News
What can explain the urgency
The market's reaction to it
Risk
P/L Journal
Whether process beat outcome
The next trade's result
A repeatable session, end to end
Run the Scanner and sort by V/OI and premium value; note the squeeze flags.
Split candidates: continuation names to the Breakout Scanner, stretched names to the Reversal Radar.
Open the Option Chain and confirm spread, open interest, and a delta that fits the timeframe.
Check the Calendar, News, Filings, and Targets for a catalyst inside the expiration window.
Write max loss, invalidation, time stop, target, and size before the entry exists.
Save survivors to Favorites; log the trade and its thesis in the P/L Journal.
Review the journal weekly: keep what survives every gate, retire what only ever passed one.
Put the concepts to work
Take these ideas straight into the scanners. Each one is a focused research view to review, not a signal to act on blindly.
Apply the education to live scanner rows.Open ConvexRadar to compare options flow, current-IV context, catalysts, earnings, price context, and saved-contract follow-through.
Options trading involves substantial risk and is not suitable for every investor. This page is general education and research workflow guidance, not financial, tax, legal, or investment advice. ConvexRadar does not guarantee trade outcomes.