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Futures / Options Intelligence Trading Advanced Singapore S&P 500 E-mini Futures NASDAQ 100 E-mini Futures Single Stock CFDs Options on Futures

Profits from detecting and following unusual options activity

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Quick Reference

Strategy Type Options Flow / Smart Money Detection
Market Outlook Profits from detecting and following unusual options activity
Risk Profile Moderate-High - flow signals require interpretation
Reward Profile Large potential gains following institutional positioning (30-100%+)
Time Horizon Short to medium-term (days to weeks based on expiry)
Iv Environment All IV environments - flow indicates expected moves
Breakeven Depends on flow signal accuracy and trade management

Payoff Profile

Profits from following options flow signals

Singapore Market Details

Primary Instruments US stocks via CFDs, S&P 500 E-mini, NASDAQ 100 E-mini, SPY/QQQ options
Mas Compliance MAS regulated brokers required for CFD/futures/options trading
Trading Hours US options market 9:30 PM - 4 AM SGT; flow data real-time during session
Contract Size Options: 100 shares per contract; E-mini S&P: USD50 per point
Settlement Options American style, futures cash settled
Tax Treatment No capital gains tax for individuals in Singapore
Margin Requirements Options buying requires premium only; selling requires margin
Cdp Account Not required for CFD/futures/options
Singapore Relevance US options flow visible during evening SGT hours - ideal for monitoring institutional activity before and during US market hours

Frequently Asked Questions

What is options flow?

Real-time tracking of options transactions to detect unusual activity. Large trades, sweeps, and unusual volume often indicate institutional positioning and smart money bets.

What is a sweep order?

An aggressive order that hits multiple exchanges simultaneously for immediate fill. Sweeps indicate high urgency - the trader wants the position NOW. Strongest flow signal type.

How do I interpret at ask vs at bid?

At ask = buyer paid asking price (aggressive buy). At bid = seller hit bid (aggressive sell). For calls, at ask is bullish. For puts, at ask is bearish.

What premium size matters?

Focus on trades over $100K premium for significance. Over $250K is strong signal. Over $500K is very high conviction. Smaller trades may be retail noise.

Where do I get flow data?

Services like Unusual Whales, FlowAlgo, Cheddar Flow, BlackBox Stocks. Cost $50-200/month. Some brokers provide basic flow data. All available in Singapore.

What is delta flow?

Sum of delta exposure from all options flow. Positive delta = net bullish positioning. Negative delta = net bearish. Provides overall directional sentiment.

What is GEX?

Gamma Exposure of market makers. Positive GEX = dealers dampen moves. Negative GEX = dealers amplify moves. Affects how market behaves around key levels.

How do I know if flow is opening or closing?

Compare volume to open interest. If volume > OI, likely new positions (opening). If volume < OI, may be closing existing positions. Opening trades more meaningful.

How do I integrate flow with technicals?

Flow provides direction, technicals provide timing. Best setups: bullish flow at support, bearish flow at resistance, flow confirming breakout direction.

What is a repeat buyer?

Same strike purchased multiple times over hours/days. Indicates accumulation by same entity. Stronger signal than one-time trade.

How do I calculate GEX?

Sum gamma across all strikes weighted by OI and spot price. Positive for calls (dealer short), negative for puts. Complex calculation requiring full options chain data.

What is the GEX flip level?

Strike where net GEX crosses zero. Major support/resistance level. Above flip = positive GEX (mean reversion). Below flip = negative GEX (trending).

How do I build a flow prediction model?

Use features (premium, sweep type, OTM, DTE, volume ratio) to predict returns. Train on historical data with walk-forward validation. Optimize for risk-adjusted returns.

How do I detect institutional flow?

Large premium (>$500K), clean execution, specific strikes, accumulation patterns. Filter for these characteristics to focus on institutional signals.

What is walk-forward optimization?

Optimize parameters on training period (e.g., 1 year), test on out-of-sample (e.g., 3 months), roll forward. Ensures parameters work outside training data.

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