Argos Terminal · Education Hub

The trader's edge starts here

Professional traders have always had the tools, the data, and the knowledge. We're closing that gap. Ten modules covering everything from trading foundations to advanced options strategies — with direct links to the features in Argos Terminal.

Module 01 · Trading Foundations

Risk, position sizing & the trader's mindset

Most traders lose money not because they can't pick stocks — but because they don't manage risk. Understanding how to size positions, set rules, and protect capital is the difference between a trader who survives and one who blows up their account in a bad month.

💰 Risk per trade

The percentage of your account you're willing to lose on a single trade. Most professional traders risk 1–2% per trade — meaning a string of 10 losses only reduces the account by 10-20%, leaving plenty of capital to recover.

Rule: Never risk more than 2% on a single trade

📏 Position sizing

How many shares or contracts to buy given your risk tolerance. Position size = (Account × Risk %) ÷ (Entry price − Stop loss price). Bigger accounts don't mean bigger bets — they mean the same risk in dollar terms.

Position size = (Capital × Risk%) ÷ Stop distance

🎯 Risk/reward ratio

The ratio between potential profit and potential loss. A 1:3 ratio means you risk $1 to make $3. With a 40% win rate and a 1:3 ratio, you're profitable over time — which is why R/R matters more than win rate alone.

Target R/R: 1:2 or better before entering

🌐 Diversification

Spreading exposure across sectors, strategies, and timeframes so no single event destroys the portfolio. Holding 20 highly correlated tech stocks is not diversification — they all move together when the sector drops.

Target: 3–5 uncorrelated positions at a time

🛑 Stop losses

A predetermined price at which you exit a losing trade. Setting stops before entering removes emotion from the decision. The most common mistake is moving a stop further away when a trade goes against you — this is how small losses become catastrophic ones.

Set the stop before entry, not after

📓 Trading journal

Logging every trade — entry, exit, rationale, and outcome — is the single highest-leverage habit for improvement. Patterns in your losses reveal your actual weaknesses, not the ones you imagine you have.

Review weekly, adjust monthly

🧮 Position Size Calculator

Max position size
33 shares

Risk amount: $100 · Dollar risk per share: $3.00

Worked example

Scenario: You have a $10,000 account and risk 1% per trade. You spot AAPL at $236 and plan to exit if it drops below $230 — a $6 stop distance.

Risk amount = $10,000 × 1% = $100
Stop distance = $236 − $230 = $6
Position size = $100 ÷ $6 = 16 shares
Total exposure = 16 × $236 = $3,776 (37.8% of account)

⚠ Common mistakes

❌
Oversizing after a win streak

Confidence after wins leads to larger bets. One bad oversized trade can erase weeks of gains. Keep position size rules regardless of recent performance.

❌
No stop loss "because it will come back"

Hope is not a strategy. Every large loss started as a small loss someone refused to take. Define your exit before you enter.

❌
Concentrating in one sector

Owning 10 tech stocks feels like diversification but it isn't — they all drop together in a tech selloff. Mix sectors, timeframes, and strategies.

❌
Trading without a plan

Entering a trade without knowing your target, your stop, and your rationale means you're gambling. Write it down before you click buy.

📊

Track your portfolio in Argos Terminal

Monitor open positions, real-time P&L, delta exposure, and theta decay across all your strategies — stocks and options — in one place. Set position limits and track your risk in real time.

Open Portfolio Tracker →
Module 02 · Financial Statements

Reading the three financial statements

A company's financial statements are its report card. The income statement shows if it's profitable, the balance sheet shows what it owns and owes, and the cash flow statement shows if the profits are real. Together, they tell you whether a business is actually healthy — or just good at accounting.

📊 Income statement

Shows revenue, expenses, and profit over a period. Key line: net income (the bottom line). Watch for revenue growth trend, margin expansion or compression, and whether EPS (earnings per share) is growing.

Revenue → Gross profit → Operating income → Net income

🏦 Balance sheet

A snapshot of assets, liabilities, and equity at a point in time. Assets = Liabilities + Equity. High debt relative to equity is a warning sign. Cash on hand relative to short-term debt matters for survival in downturns.

Assets = Liabilities + Shareholders' Equity

💵 Cash flow statement

Shows actual cash movement — operating, investing, and financing. Profitable companies can still go bankrupt if cash flow is poor. Operating cash flow should be consistently positive for a healthy business.

Operating CF > 0 = business generates real cash

📈 Revenue growth

Top-line growth tells you if the business is expanding. Accelerating revenue growth (each quarter faster than the last) is a powerful signal. Declining growth even with good margins can signal a maturing business.

Argos tracks: Revenue Growth YoY %

🎯 Earnings per share (EPS)

Net income divided by shares outstanding. EPS growth is what drives stock prices long-term. Watch for earnings beats vs estimates — stocks often move 5–10% on earnings surprises.

EPS = Net Income ÷ Shares Outstanding

⚠️ Red flags

Revenue growing but cash flow declining = possible accounting issues. Debt growing faster than revenue = deteriorating balance sheet. Frequent "one-time" charges = management hiding recurring costs. Goodwill exceeding equity = acquisition risk.

Always read the footnotes
How to read an income statement — simplified

Here's what a strong company looks like vs a struggling one:

STRONG: Revenue +18% YoY · Gross margin 65% · Net margin 22% · EPS +24%
STRUGGLING: Revenue +3% YoY · Gross margin 28% · Net margin −2% · EPS declining

The strong company is growing fast with expanding margins and positive earnings.
The struggling one has thin margins, slow growth, and is losing money.
🔬

See financials in Argos Terminal

Every stock in the screener includes revenue growth, EPS growth, margins, debt ratios, and FCF metrics — pre-calculated so you can filter and compare without reading raw filings.

Open Stock Screener →
Module 03 · Fundamental Analysis

The metrics that actually matter

Fundamental analysis asks: is this business worth owning? The answer comes from ratios that reveal valuation, profitability, growth, and financial health. The Argos Terminal screener covers 90+ of these metrics — here are the ones that matter most and what they tell you.

Valuation metrics

P/E Ratio
Price divided by earnings per share. Tells you how much you're paying for each dollar of earnings. Below 15 is often "value", above 35 is often "growth premium". Always compare within the same sector.
PEG Ratio
P/E divided by earnings growth rate. Below 1 means you're getting growth at a reasonable price. A PEG of 0.8 with 25% EPS growth is far more attractive than a P/E of 20 with 5% growth.
P/B Ratio
Price divided by book value. Below 1 means the stock trades below its net asset value — potentially undervalued. Common in financial stocks and deep value plays.
EV/EBITDA
Enterprise value relative to earnings before interest, taxes, depreciation and amortization. Better than P/E for comparing companies with different debt loads. Below 10 is often considered value.
FCF Yield
Free cash flow divided by market cap. Higher yield means more real cash generation relative to price. A 5%+ FCF yield with growing revenue is a strong signal of an undervalued business.
ROE
Return on Equity
Net income ÷ shareholder equity. How efficiently management uses investor capital.
✓ Good: > 15% · Excellent: > 25%
ROIC
Return on Invested Capital
Best measure of capital allocation quality. Companies with ROIC > cost of capital create wealth.
✓ Good: > 10% · Excellent: > 15%
Net Margin
Net Profit Margin %
Net income as % of revenue. Bottom-line profitability after everything. Expanding margins = improving business.
✓ Depends on sector · Software: 20%+
D/E
Debt / Equity
How much debt relative to equity. High debt amplifies risk in downturns.
✓ Conservative: < 0.5 · Caution: > 2
Current Ratio
Liquidity
Current assets ÷ current liabilities. Below 1 means the company can't cover short-term obligations.
✓ Healthy: > 1.5
Rev Growth
Revenue Growth YoY
Year-over-year top-line expansion. Accelerating growth (each quarter faster) is a strong signal.
✓ Good: > 10% · Strong: > 25%
Div Yield
Dividend Yield %
Annual dividend ÷ stock price. High yield is only good if the payout ratio is sustainable (<60%).
✓ Sustainable: yield < FCF yield
Interest Cov.
Interest Coverage
EBIT ÷ interest expense. How easily a company covers its debt payments.
✓ Safe: > 5 · Risky: < 2

⚠ Common mistakes

❌
Comparing P/E across sectors

A 30 P/E is cheap for a software company and expensive for a utility. Always compare within the same sector and against the stock's own history.

❌
Ignoring cash flow

A company can show net income profit while burning cash. Always check operating cash flow — it's harder to manipulate than earnings.

❌
Chasing high dividend yield

A 10% yield is often a sign the market expects a dividend cut. Check the payout ratio — if it's above 80%, the dividend is at risk.

⊞

Screen by any of these metrics in Argos Terminal

The Argos Stock Screener covers all 90+ fundamental metrics with pre-built preset strategies — Buffett Quality, GARP, Dividend Compounder, Deep Value, and more — or build your own filter combination.

Open Stock Screener →
Module 04 · Technical Analysis

Reading charts & indicators

Technical analysis studies price action and volume to identify trends, momentum shifts, and support/resistance levels. It doesn't tell you what a company is worth — it tells you what the market is doing right now and where it might go next. The best traders combine fundamentals and technicals.

RSI 14
Relative Strength Index
Momentum oscillator 0–100. Below 30 = oversold (potential reversal up). Above 70 = overbought (potential reversal down).
Sweet spot for premium sellers: 40–65
SMA 200
200-Day Moving Average
The most important long-term trend indicator. Price above SMA200 = uptrend. Below = downtrend. Institutions watch this level closely.
✓ Bullish: price > SMA200
SMA 50
50-Day Moving Average
Medium-term trend. A "golden cross" (SMA50 crossing above SMA200) is a bullish signal. "Death cross" (below) is bearish.
✓ Bullish: SMA50 > SMA200
EMA 21
21-Day Exponential MA
Short-term momentum. Reacts faster than SMA. Commonly used by swing traders to define entries and exits.
Short-term trend: price vs EMA21
Volume × Avg
Relative Volume
Today's volume vs 30-day average. Above 2× suggests unusual activity — news, institutional buying, or options expiry.
Meaningful signal: > 1.5× average
Beta
Market Sensitivity
How much the stock moves vs the S&P 500. Beta 1.5 = moves 50% more than the market. High beta = more risk and more reward.
Conservative: < 0.8 · Volatile: > 1.5

📐 Support & resistance

Support is a price level where buyers have historically stepped in and stopped declines. Resistance is where sellers have capped rallies. Breakouts above resistance on high volume are bullish signals. Breakdowns below support on volume are bearish.

🕯️ Candlestick patterns

Each candle shows open, high, low, close for the period. Key patterns: doji (indecision), hammer (potential reversal up), engulfing candle (momentum shift). Context matters more than any single pattern — always check volume.

📊 Volume analysis

Price moves on high volume carry more conviction than moves on low volume. A breakout to new highs on 3× average volume is far more significant than the same move on 0.5× average volume.

📉 52-week range

Knowing where a stock sits relative to its 52-week high and low provides immediate context. Near the high = momentum/breakout potential. Near the low = value/reversal potential. The context determines which setup you're in.

Breakout setup — reading the signals together

A strong breakout setup typically looks like this:

Price: above SMA200 and SMA50 ✓
RSI: between 50–65 (momentum but not overbought) ✓
Volume: 2× above 30-day average on breakout day ✓
Price: clearing a key resistance level (52-week high, round number) ✓

When all four align → higher-probability continuation signal
📈

Filter by RSI, SMA, and volume in Argos Terminal

The Stock Screener lets you filter by RSI range, position vs SMA200/SMA50, relative volume, and 52-week range — and the AI Screener lets you describe technical setups in plain English.

Open Screener →
Module 05 · Options Basics

Calls, puts, and the options chain

An option is a contract that gives you the right — but not the obligation — to buy or sell a stock at a specific price before a specific date. Options are powerful tools for generating income, hedging positions, and expressing directional views with defined risk. Understanding them well is the foundation for everything else in this hub.

📞 Call option

The right to buy 100 shares at the strike price before expiration. Buyers profit if the stock rises above the strike + premium paid. Sellers collect premium and profit if the stock stays below the strike.

Buyer: bullish · Seller: neutral to bullish

📉 Put option

The right to sell 100 shares at the strike price before expiration. Buyers profit if the stock falls below the strike − premium paid. Sellers collect premium and profit if the stock stays above the strike.

Buyer: bearish · Seller: neutral to bullish

💲 Strike price

The fixed price at which the option can be exercised. A $230 put gives the holder the right to sell at $230 regardless of where the stock is trading. The further from current price, the cheaper the option.

📅 Expiration date

The date after which the option expires worthless (if out of the money). Options decay in value as time passes — this decay accelerates in the last 21 days before expiration, which is why theta matters so much.

💰 Premium

The price of the option contract. Determined by intrinsic value (how far in the money) + extrinsic value (time + implied volatility). Sellers collect premium upfront; buyers pay it.

📐 Intrinsic vs extrinsic

Intrinsic value = how far in the money (real value). Extrinsic value = time value + implied volatility premium. Out-of-the-money options have only extrinsic value — it decays to zero at expiration.

The Greeks — explained simply

Delta (Δ)
How much the option price moves for every $1 move in the stock. A delta of 0.30 means the option gains $0.30 when the stock rises $1. Also approximates the probability of expiring in the money — a 0.30 delta option has roughly a 30% chance of being in the money at expiration.
Theta (Θ)
Daily time decay — how much the option loses in value each day purely from the passage of time, assuming everything else stays equal. Option sellers love theta because they collect it. Buyers fight against it. Theta accelerates sharply in the last 21 days before expiration.
Vega (V)
Sensitivity to implied volatility. When implied volatility rises, option premiums increase (good for sellers waiting to close). When IV falls (IV crush after earnings), premiums drop — which is why selling options into earnings announcements is popular.
Gamma (Γ)
How fast delta changes as the stock moves. High gamma near expiration means small stock moves cause large option price changes. Short gamma (selling options) carries risk near expiration if the stock moves sharply.
IV Rank (IVR)
Where current implied volatility sits relative to its 52-week range, expressed as a percentage. IVR of 70 means IV is in the 70th percentile of its range — relatively high. Selling options when IVR is high means collecting elevated premiums.
DTE
Days to expiration. Most premium sellers target 30–45 DTE — enough time for the trade to work out while still benefiting from accelerating theta decay.
⛓

View the full options chain in Argos Terminal

Live bid/ask, delta, IV, theta, open interest, and volume across all strikes and expiries. Click any strike to build a position directly in your portfolio tracker.

Open Options Chain →
Module 06 · Options Strategies

Income strategies for premium sellers

Options strategies let you define exactly what you're betting on — direction, time, volatility — and how much you can lose. The strategies below are the core of a premium-selling approach: collecting time decay with defined or bounded risk. They work best in higher-IV environments on stocks you understand well.

StrategySetupMax profitMax lossBest whenOutlook
Cash-Secured Put (CSP)Sell 1 put, hold cash = strike × 100Premium collectedStrike − Premium (large)Stock you'd buy anyway, IV elevatedNeutral–Bullish
Covered Call (CC)Own 100 shares, sell 1 call aboveStrike − Cost + PremiumStock goes to zeroStock you own, want income, capped upside OKNeutral–Bullish
Short StrangleSell 1 OTM put + 1 OTM callBoth premiumsUnlimited (both sides)High IV, stock expected to stay in rangeNeutral
Iron CondorSell OTM put + call, buy further OTM protectionNet premiumSpread width − PremiumHigh IV, defined risk wantedNeutral
Put Credit SpreadSell put, buy lower putNet premiumSpread width − PremiumModerate IV, defined riskNeutral–Bullish
Call Debit SpreadBuy call, sell higher callSpread width − PremiumPremium paidDirectional bullish, reduce costBullish

🎯 Cash-Secured Put (CSP)

The most popular income strategy. Sell a put at a strike you'd be happy buying the stock at. Collect premium. If the stock stays above strike, keep the premium. If it drops below, you buy shares at your preferred price — effectively getting paid to wait.

Example: AAPL at $236, sell $220 put for $0.65 → $65 collected

📞 Covered Call (CC)

Own shares, sell a call above current price. Collect premium. If stock rises above the strike, shares get called away at a profit. If it stays below, keep premium and repeat. Reduces cost basis month by month.

Example: Own NVDA at $130, sell $140 call for $1.40 → $140/month

↔️ Short Strangle

Sell an OTM put AND an OTM call simultaneously. Collect both premiums. Profit if the stock stays between the two strikes at expiration. Risk is if the stock moves sharply in either direction. Best in high-IV environments on stable underlyings.

Example: META at $570, sell $550P + $600C → collect both premiums

🦅 Iron Condor

A strangle with protection — sell an OTM put spread AND an OTM call spread. Max profit is the net premium. Max loss is the spread width minus the premium. Defined risk, no margin surprises. Ideal for indexes (SPY, QQQ).

Max loss = Spread width − Net premium collected

P&L Diagram

⚠ Common mistakes

❌
Selling puts on stocks you wouldn't own

If the put gets assigned and you're forced to buy shares, you want to own that stock. Only sell CSPs on quality companies.

❌
Ignoring IV rank

Selling options when IV is low means collecting thin premiums for the same risk. Wait for IVR above 30 before selling premium.

❌
Holding through earnings unintentionally

Earnings cause IV crush and large price moves. Know your DTE and your earnings date. Close or roll positions before earnings if you're not intentionally taking that risk.

❌
Not managing winners

Most professional options traders close at 50% of max profit and move on to the next trade. Holding to expiration for the last 50% of premium is where most losses occur.

⊕

Find CSP and CC setups in Argos Options Screener

Filter by strategy type, IV rank, delta, DTE, and premium yield across thousands of options. The screener shows you which setups meet your criteria in real time.

Open Options Screener →
Module 07 · Options Flow & Dark Pool

Reading unusual options activity

Options flow shows you what the big money is doing — before price often reflects it. Large unusual options trades, particularly sweeps and blocks, can signal that well-informed players are positioning ahead of a move. It's not a crystal ball, but it's one of the most powerful edges available to retail traders.

🌊 What is options flow?

The real-time feed of options transactions on public exchanges. Each print shows: ticker, strike, expiry, type (call/put), premium, volume, and whether it was a sweep or block. Unusual prints — especially large ones far from expiration — catch our attention.

⚡ Sweep vs Block

A sweep is a large order split across multiple exchanges simultaneously — urgency to fill. A block is a single large negotiated trade away from the tape. Both indicate conviction. Sweeps particularly suggest a trader needing to get in fast before the move happens.

Sweep = urgency · Block = large conviction bet

📊 Volume vs Open Interest

Volume = contracts traded today. Open Interest = contracts outstanding. When volume exceeds OI on a strike, it's likely a new position — not closing an old one. This matters because new large positions are more meaningful signals than closing activity.

Vol/OI > 1 = likely new position opening

🎯 Premium size

A $500K+ single options trade in an individual stock is unusual. Millions signal serious conviction. The premium total matters more than just the contract count — 1,000 contracts at $0.05 is noise; 100 contracts at $10 is significant.

Look for: premium > $100K per single print

🏊 Dark pool prints

Large stock trades executed off-exchange (in "dark pools") to avoid moving the market. When institutions buy hundreds of thousands of shares quietly, it shows up later in the dark pool data. Bullish dark pool prints on low-price stocks = potential accumulation.

⚠️ What flow doesn't tell you

Flow is often hedging, not speculation. A large put purchase might be a fund protecting a long position — not a bearish bet. Context matters: check the stock's current trend, the option's expiry, and whether similar prints have happened recently.

Always ask: hedge or speculative bet?
Reading a flow print — example

You see this in the Argos flow feed:

NVDA · $150 Call · Jan 2026 · 2,500 contracts · $2.1M premium · SWEEP · Bid side

Reading: Someone swept $2.1M into NVDA Jan 2026 $150 calls (OTM).
Buying on the ASK with urgency (sweep). 4 months out — not a hedge, likely directional.
The bet: NVDA above $150 + premium paid by January 2026.

This doesn't mean you buy — but it tells you someone with serious capital
is betting on upside. File it as a bullish data point.

⚠ Common mistakes

❌
Blindly following every large print

Most large prints are hedges or routine institutional activity. Look for patterns — multiple prints in the same direction over several days are far more meaningful than a single trade.

❌
Ignoring the expiry

A $1M bet on calls expiring in 3 days is very different from the same bet expiring in 6 months. Short-dated large bets are often directional; long-dated could be anything.

❌
Not checking if it's above/below ask

Trades above the ask (buyer-initiated) are bullish signals. Trades at the bid (seller-initiated) are bearish. This context flips the interpretation of any given print.

🌊

Live options flow in Argos Terminal (Pro)

Real-time feed of unusual options activity and dark pool prints, filtered by premium size, ticker, sweep/block, and sentiment. Pro plan includes live same-day flow.

View Live Flow →
Module 08 · Institutional & Smart Money

Following the institutions

Institutional investors — pension funds, mutual funds, hedge funds, ETFs — manage trillions of dollars. When they buy or sell, they move markets. The SEC requires them to disclose their holdings quarterly (13F filings), giving retail traders a window into where the smart money is positioned. Used correctly, this is one of the most powerful signals available.

📋 What is a 13F filing?

A quarterly SEC disclosure required from institutional investment managers with >$100M AUM. Filed within 45 days of quarter-end. Shows every long equity position. Note: it's a lagging indicator — you're seeing positions as of 45-90 days ago.

Filed 45 days after quarter end · Q2 → mid-August

📈 Institutional ownership %

The percentage of a company's shares held by institutions. High institutional ownership (>70%) in a small-cap can be a risk — if they all leave, the exit is crowded. In large-caps, 70%+ is normal and healthy. Rising ownership QoQ is the signal.

🔄 Ownership change QoQ

The quarter-over-quarter change in institutional ownership percentage. Positive = net accumulation. Negative = net distribution. This trend matters more than the absolute level — institutions steadily increasing a position is a strong bullish signal.

Positive QoQ change = institutional accumulation

🆕 New positions

When a major fund initiates a brand new position in a stock — especially a "starter" position that could grow — it signals conviction. Multiple large funds initiating simultaneously is a particularly powerful signal (institutional herding into a new idea).

📉 Closed positions

When institutions completely exit a position, it's worth noting. Especially if multiple large holders exit simultaneously — it often precedes a significant price decline as selling pressure increases with no major buyers absorbing the flow.

📊 Buy ratio

The fraction of institutional activity that was buying (new + increased positions vs closed + reduced). Above 0.6 = net buying environment. Below 0.4 = net selling. This is the most actionable summary metric from the 13F data.

Buy ratio > 0.60 = institutions net buying

Key terms

13F Filing
Quarterly SEC disclosure of institutional long equity positions. Filed within 45 days of quarter end. Does not show short positions or options positions.
Inst. Change QoQ
Quarter-over-quarter change in institutional ownership %. Positive = accumulation, negative = distribution. The most useful single metric from 13F data.
Holder Δ
Net change in the number of institutions holding the stock. A stock gaining 50 new institutional holders in a quarter is a meaningful signal of broadening institutional interest.
Congressional Trades
U.S. Congress members are required to disclose stock trades within 45 days under the STOCK Act. Research shows these trades have historically outperformed — tracking them provides a unique signal layer.
Insider Signal
Buys/sells by company executives and directors (Form 4 filings). Insider buying is particularly meaningful — executives buying their own stock with personal money is a strong conviction signal. Insider selling is less meaningful (stock compensation).
🏛

Smart Money & 13F data in Argos Terminal (Plus+)

Institutional ownership %, QoQ change, new positions, buy ratio, congressional trades, and insider signals — all pre-processed and available as screener filters. Find stocks with rising institutional conviction before they move.

View Smart Money Data →
Module 09 · Stock Screening

Finding the right stocks for your strategy

A stock screener lets you filter thousands of stocks down to the handful that match your specific criteria. Instead of researching stocks randomly, you define what you're looking for — and the screener finds them. Different strategies need different filters. Here are the most effective approaches.

🚀 Growth screening

Looking for companies expanding revenue and earnings fast. Revenue growth >20% YoY, EPS growth >20%, expanding margins, strong ROIC. These stocks often carry higher P/E ratios — the premium is for the growth rate, not the current earnings.

Argos preset: High Growth, Growth Acceleration

💰 Dividend & income

Companies with sustainable dividends and growing payouts. Key filters: yield >2.5%, payout ratio <60% (sustainable), revenue growth >5% (growing the business), low debt (protecting the dividend). Watch for yield traps — very high yield often means the dividend is at risk.

Argos preset: Dividend Compounder, Dividend Safety

📊 Quality/value (Buffett style)

High-quality businesses at reasonable prices. ROE >20%, ROIC >15%, low debt, strong margins, consistent earnings growth — but not at any price. PEG <1.5 or P/E <25 ensures you're not overpaying for quality.

Argos preset: Buffett Quality, Quality Compounder

🎢 Momentum

Stocks moving strongly with increasing volume. 1-month performance >10%, RSI 50–70 (momentum but not overbought), relative volume >1.5×. Momentum works in trending markets and fails in choppy ones — know which environment you're in.

Argos preset: Momentum Leaders, Breakout Setup

💎 Deep value

Beaten-down companies trading below intrinsic value. P/B <1.5, positive FCF, ROE >10%, low debt. These are patience plays — the thesis might take 12–24 months to play out. The risk is that cheap stocks can stay cheap for a long time.

Argos preset: Deep Value, Hidden Value

🤖 AI-powered scan

Describe your investment thesis in plain English and Argos AI scans the universe for matching stocks. "Large-cap tech with strong earnings momentum and no earnings in the next 30 days" — the AI translates this and returns ranked candidates.

Argos: AI Screener (Pro) · Natural language queries
Building a screen — step by step

Here's how to build a quality growth screen in Argos Terminal:

1. Revenue Growth YoY > 15% → growing top line
2. EPS Growth YoY > 15% → growing bottom line
3. Net Margin > 10% → profitable with decent margins
4. Debt/Equity < 1 → not overleveraged
5. RSI between 40–65 → not overbought or in freefall
6. Avg Volume 30D > 500,000 → liquid enough to trade

Sort by: Argos Score descending → highest quality first
Result: Quality growth companies in healthy technical shape

⚠ Common mistakes

❌
Too many filters

Over-filtering produces a list of 3 stocks that perfectly match your criteria but may all be in the same sector. Start broad and narrow from there.

❌
Treating screener output as a buy list

A screener finds candidates, not recommendations. Research each result before committing capital. The screener removes the noise — the analysis is still your job.

❌
Ignoring context

A great screener result in a bear market is still a stock going down. Always check the broader market environment and sector trend before acting on screener output.

⊞

Argos Stock Screener — 90+ filters, 5,900 stocks

Filter by any combination of fundamental, technical, momentum, and ownership metrics. Use preset strategies or build your own. The AI Screener (Pro) lets you describe your thesis in plain English.

Open Stock Screener →
Module 10 · Options Screening

Finding high-probability options setups

Options screening narrows thousands of contracts down to the handful of setups that fit your strategy and risk tolerance today. The key metrics are IV rank (are premiums elevated?), delta (how much directional exposure?), DTE (how much time?), and premium yield (are you being adequately compensated?). Here's how to use them.

IV Rank
Implied Volatility Rank
Where current IV sits in its 52-week range. High IVR = expensive options = better time to sell. Target IVR > 30 for premium selling.
✓ Sell premium: IVR > 30–40
Delta
Directional Exposure
For CSPs and CCs, delta approximates the probability of the option expiring in the money. Sell 0.20–0.30 delta for ~80% probability of success.
✓ Conservative: 0.15–0.25 delta
DTE
Days to Expiration
Most premium sellers target 30–45 DTE — the sweet spot where theta starts accelerating and there's still enough premium to make the trade worthwhile.
✓ Target: 30–45 DTE
ROC
Return on Capital
Annualized return on the capital required for the trade. A CSP that returns 2% in 30 days = 24% annualized ROC. Higher ROC = more efficient use of capital.
✓ Target: 2%+ per month
Earn Safe
Earnings Safety
Whether the trade expires before the next earnings announcement. Trading through earnings exposes you to IV crush and large price moves. Argos flags this.
✓ Prefer: expires before earnings
Premium
Credit Collected
The actual dollar credit collected per contract (×100 for dollar value). Should justify the capital committed and the risk taken.
✓ Minimum: premium covers transaction costs
Finding a CSP setup — using the Argos Options Screener

Here's the filter combination for a conservative CSP scan:

Strategy: Cash-Secured Put (CSP)
IV Rank: 20–60 (elevated but not extreme)
Delta: 0.15–0.30 (75–85% probability of expiring worthless)
DTE: 25–45 days (sweet spot for theta)
Earn Safe: Yes (expires before next earnings)
Underlying: optionable stocks with avg vol > 500K

Result: A ranked list of CSP opportunities sorted by ROC
Each result shows: strike, expiry, premium, delta, IVR, days to earnings

📉 When to sell CSPs

IV rank above 30 (elevated premiums). Stock in an uptrend (above SMA50/SMA200). At a strike you'd be happy owning shares. No earnings within the expiry period. Enough premium to justify the capital tied up (target 1–2% per 30 days).

📞 When to sell covered calls

You already own shares. IV rank elevated (collect more premium). At a strike above your cost basis to lock in a profit if called away. Target 30–45 DTE. Avoids selling the call during strong earnings momentum — you might cap a large gain.

↔️ When to sell strangles

High IV environments on stable underlyings (established companies, not speculative). Wide strikes that the stock is unlikely to reach. Enough premium on both sides. Have a plan for rolling or defending if the stock tests one side.

🦅 When to sell iron condors

Best on broad indexes (SPY, QQQ, IWM) during low-volatility consolidation periods. Defined risk — you know your maximum loss. Sell when IVR is above 25. Target the 10–20 delta strikes for the short legs.

⚠ Common mistakes

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Selling premium when IV is low

Low IVR (under 20) means you're collecting thin premiums for the same amount of risk. Wait for elevated IV — patience is the edge in options selling.

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Not managing at 50% profit

Holding a CSP from $0.65 credit all the way to $0.00 at expiration takes the same amount of time as going from $0.65 to $0.32. Close at 50% profit and redeploy the capital for another trade.

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Trading through earnings

Earnings announcements cause massive IV crush and large price gaps. Unless you're intentionally trading the event, always check that your options expire before the next earnings date.

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Selling too close to current price

High delta options collect more premium but also carry much higher assignment risk. New options sellers often sell 0.40-0.50 delta — too close. Start with 0.20-0.25 delta to learn the mechanics.

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Filter by strategy (CSP, CC, strangle, iron condor), IV rank, delta, DTE, ROC, and earnings safety. Sorted by best risk/reward. Pro plan adds strangles and multi-leg strategies.

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