flashalpha 0.3.2

Python SDK for the FlashAlpha options analytics API — live options screener, gamma exposure (GEX), VRP, delta, vanna, charm, greeks, 0DTE analytics, volatility surfaces, and more.

FlashAlpha Python SDK

Python client for the FlashAlpha options analytics API. Access a live options screener (filter/rank symbols by gamma exposure, VRP, IV, greeks, harvest scores, and custom formulas), real-time gamma exposure (GEX), delta exposure (DEX), vanna exposure (VEX), charm exposure (CHEX), 0DTE analytics, Black-Scholes greeks, implied volatility, volatility surfaces, dealer positioning, Kelly criterion sizing, and more — all from Python.

pip install flashalpha

Quick Start

from flashalpha import FlashAlpha

fa = FlashAlpha("YOUR_API_KEY")  # Get a free key at flashalpha.com

# Gamma exposure by strike
gex = fa.gex("SPY")
print(f"Net GEX: ${gex['net_gex']:,.0f}")
print(f"Gamma flip: {gex['gamma_flip']}")

for strike in gex["strikes"][:5]:
    print(f"  {strike['strike']}: net ${strike['net_gex']:,.0f}")

Get your free API key at flashalpha.com — no credit card required.

Features

Live Options Screener

Filter and rank symbols in real time across your universe by gamma exposure, VRP, implied volatility, greeks, harvest scores, dealer flow risk, and custom formulas. Data is live from an in-memory store refreshed every 5-10 seconds.

# Harvestable VRP setups with low dealer flow risk
result = fa.screener(
    filters={
        "op": "and",
        "conditions": [
            {"field": "regime", "operator": "eq", "value": "positive_gamma"},
            {"field": "vrp_regime", "operator": "eq", "value": "harvestable"},
            {"field": "dealer_flow_risk", "operator": "lte", "value": 40},
            {"field": "harvest_score", "operator": "gte", "value": 65},
        ],
    },
    sort=[{"field": "harvest_score", "direction": "desc"}],
    select=["symbol", "price", "harvest_score", "dealer_flow_risk"],
)
for row in result["data"]:
    print(f"{row['symbol']}: score={row['harvest_score']} risk={row['dealer_flow_risk']}")

# Custom formula — rank by IV premium over realized vol
result = fa.screener(
    formulas=[{"alias": "iv_premium", "expression": "atm_iv - rv_20d"}],
    sort=[{"formula": "iv_premium", "direction": "desc"}],
    select=["symbol", "atm_iv", "rv_20d", "iv_premium"],
    limit=20,
)

Cascading filters on expiries, strikes, and contracts (e.g. expiries.days_to_expiry, strikes.call_oi, contracts.delta) trim the tree at each level and return only the matching subtree. See the Screener spec and cookbook for all fields, operators, and recipes.

Options Exposure Analytics

Gamma exposure, delta exposure, vanna exposure, and charm exposure by strike. See where dealers are positioned and how they need to hedge.

gex = fa.gex("SPY")                                        # Gamma exposure
dex = fa.dex("AAPL")                                       # Delta exposure
vex = fa.vex("QQQ")                                        # Vanna exposure
chex = fa.chex("NVDA")                                     # Charm exposure

levels = fa.exposure_levels("SPY")                          # Key levels
print(f"Call wall: {levels['levels']['call_wall']}")
print(f"Put wall: {levels['levels']['put_wall']}")
print(f"Gamma flip: {levels['levels']['gamma_flip']}")

summary = fa.exposure_summary("SPY")                        # Full summary (Growth+)
narrative = fa.narrative("SPY")                              # AI narrative (Growth+)
print(narrative["narrative"]["outlook"])

0DTE Analytics

Real-time zero-days-to-expiration analysis: gamma regime, expected move, pin risk scoring, dealer hedging estimates, theta decay acceleration, and per-strike breakdown.

dte = fa.zero_dte("SPY")                                    # Growth+
print(f"Pin score: {dte['pin_risk']['pin_score']}/100")
print(f"Expected move: ±{dte['expected_move']['remaining_1sd_pct']:.2f}%")
print(f"Theta/hr: ${dte['decay']['theta_per_hour_remaining']:,.0f}")
print(f"Gamma acceleration: {dte['decay']['gamma_acceleration']}x vs 7DTE")

Black-Scholes Greeks and Implied Volatility

Full BSM greeks — first order (delta, gamma, theta, vega, rho), second order (vanna, charm, vomma), and third order (speed, zomma, color, ultima).

g = fa.greeks(spot=580, strike=580, dte=30, sigma=0.18, type="call")
print(f"Delta: {g['first_order']['delta']}")
print(f"Vanna: {g['second_order']['vanna']}")
print(f"Speed: {g['third_order']['speed']}")

iv = fa.iv(spot=580, strike=580, dte=30, price=12.69)
print(f"IV: {iv['implied_volatility_pct']}%")

Volatility Analytics

Realized vol, IV-RV spreads, skew profiles, term structure, GEX by DTE, theta decay, put/call breakdowns, OI concentration, hedging scenarios, and liquidity analysis.

vol = fa.volatility("TSLA")                                 # Growth+
print(f"ATM IV: {vol['atm_iv']}%")
print(f"RV 20d: {vol['realized_vol']['rv_20d']}%")
print(f"VRP: {vol['iv_rv_spreads']['assessment']}")
print(f"Skew 25d: {vol['skew_profiles'][0]['skew_25d']}")

Advanced Volatility (SVI, Variance Surfaces, Arbitrage Detection)

Raw SVI parameters per expiry, total variance surface grids, butterfly and calendar arbitrage flags, higher-order greeks surfaces (vanna, charm, volga, speed), and variance swap fair values.

adv = fa.adv_volatility("SPY")                              # Alpha+
print(f"SVI params: {adv['svi_parameters'][0]}")
print(f"Arbitrage flags: {len(adv['arbitrage_flags'])}")
print(f"Var swap fair vol: {adv['variance_swap_fair_values'][0]['fair_vol']}%")

Kelly Criterion Position Sizing

Optimal position sizing using numerical integration over the full lognormal distribution — not the simplified gambling formula.

kelly = fa.kelly(                                            # Growth+
    spot=580, strike=580, dte=30,
    sigma=0.18, premium=12.69, mu=0.12,
)
print(kelly["recommendation"])
print(f"Half-Kelly: {kelly['sizing']['half_kelly_pct']}%")

Market Data

quote = fa.stock_quote("AAPL")                              # Live stock quote
opt = fa.option_quote("SPY", expiry="2026-03-21",           # Option quote (Growth+)
                       strike=660, type="C")
summary = fa.stock_summary("SPY")                           # Comprehensive summary
surface = fa.surface("SPY")                                  # Vol surface (public)

Historical Data (ClickHouse)

Minute-by-minute stock and option quotes from ClickHouse — 3.5 billion rows across 141 tickers.

hist = fa.historical_stock_quote("SPY", date="2026-03-05", time="10:30")
hist_opt = fa.historical_option_quote(
    "SPY", date="2026-03-05", expiry="2026-03-20", strike=580, type="C"
)

Reference Data and Account

tickers = fa.tickers()                # All available stock tickers
chain = fa.options("SPY")             # Option chain metadata
symbols = fa.symbols()                # Symbols with live cached data
account = fa.account()                # Plan, usage, quota
health = fa.health()                  # API health check (public)

Error Handling

from flashalpha import (
    FlashAlpha,
    AuthenticationError,
    TierRestrictedError,
    NotFoundError,
    RateLimitError,
)

fa = FlashAlpha("YOUR_API_KEY")

try:
    data = fa.exposure_summary("SPY")
except AuthenticationError:
    print("Invalid API key")
except TierRestrictedError as e:
    print(f"Need {e.required_plan} plan (you have {e.current_plan})")
except NotFoundError:
    print("Symbol not found")
except RateLimitError as e:
    print(f"Rate limited — retry after {e.retry_after}s")

API Plans

Plan	Daily Requests	Access
Free	5	Stock quotes, GEX/DEX/VEX/CHEX by strike, levels, BSM greeks, IV, historical quotes, tickers, options meta, surface, stock summary
Basic	100	Everything in Free + index symbols (SPX, VIX, RUT, etc.)
Growth	2,500	+ Exposure summary, narrative, 0DTE analytics, volatility analytics, option quotes, full-chain GEX, Kelly sizing
Alpha	Unlimited	+ Advanced volatility (SVI, variance surfaces, arbitrage detection, greeks surfaces, variance swap)

Get your API key at flashalpha.com

All Methods

Method	Endpoint	Plan
fa.gex(symbol)	Gamma exposure by strike	Free+
fa.dex(symbol)	Delta exposure by strike	Free+
fa.vex(symbol)	Vanna exposure by strike	Free+
fa.chex(symbol)	Charm exposure by strike	Free+
fa.exposure_levels(symbol)	Key levels (gamma flip, walls, max pain)	Free+
fa.exposure_summary(symbol)	Full exposure summary with hedging	Growth+
fa.narrative(symbol)	AI narrative analysis	Growth+
fa.zero_dte(symbol)	0DTE analytics (regime, pin risk, decay)	Growth+
fa.exposure_history(symbol)	Daily exposure snapshots	Growth+
fa.stock_quote(ticker)	Live stock quote	Free+
fa.option_quote(ticker)	Option quotes with greeks	Growth+
fa.stock_summary(symbol)	Comprehensive stock summary	Public/Free+
fa.surface(symbol)	Volatility surface grid	Public
fa.historical_stock_quote(ticker)	Historical stock quotes	Free+
fa.historical_option_quote(ticker)	Historical option quotes	Free+
fa.greeks(...)	BSM greeks (1st, 2nd, 3rd order)	Free+
fa.iv(...)	Implied volatility solver	Free+
fa.kelly(...)	Kelly criterion sizing	Growth+
fa.screener(...)	Live options screener — filter/rank by GEX, VRP, IV, greeks, formulas	Growth+
fa.volatility(symbol)	Comprehensive volatility analytics	Growth+
fa.adv_volatility(symbol)	SVI, variance surface, arb detection	Alpha+
fa.tickers()	All available stock tickers	Free+
fa.options(ticker)	Option chain metadata	Free+
fa.symbols()	Symbols with live data	Free+
fa.account()	Account info and quota	Free+
fa.health()	Health check	Public

Other SDKs

Language	Package	Repository
JavaScript	npm i flashalpha	flashalpha-js
.NET	dotnet add package FlashAlpha	flashalpha-dotnet
Java	Maven Central	flashalpha-java
Go	go get github.com/FlashAlpha-lab/flashalpha-go	flashalpha-go
MCP	Claude / LLM tool server	flashalpha-mcp

Links

• FlashAlpha — API keys, docs, pricing
• API Documentation
• Examples — runnable tutorials
• GEX Explained — gamma exposure theory and code
• 0DTE Options Analytics — 0DTE pin risk, expected move, dealer hedging
• Volatility Surface Python — SVI calibration, variance swap, skew analysis
• Awesome Options Analytics — curated resource list

License

MIT