FlashAlpha Java SDK

Java client library for the FlashAlpha options analytics API. Provides a live options screener (filter/rank symbols by GEX, VRP, IV, greeks, harvest scores, and custom formulas), real-time gamma exposure (GEX), delta exposure (DEX), vanna exposure (VEX), charm exposure (CHEX), 0DTE analytics, volatility surface, implied volatility, Black-Scholes greeks, Kelly criterion position sizing, stock quotes, and option chain data — all from a single, dependency-light Java 11+ package.

🔑 Get a free API key at flashalpha.com → · 📚 API documentation · 💹 FlashAlpha options analytics API

Requirements

Java 11 or later
Maven 3.6+ or Gradle 7+

Installation

Maven

<dependency>
    <groupId>com.flashalpha</groupId>
    <artifactId>flashalpha</artifactId>
    <version>1.1.0</version>
</dependency>

Gradle (Groovy DSL)

implementation 'com.flashalpha:flashalpha:1.1.0'

Gradle (Kotlin DSL)

implementation("com.flashalpha:flashalpha:1.1.0")

Quick start

import com.flashalpha.FlashAlphaClient;
import com.google.gson.JsonObject;

public class Example {
    public static void main(String[] args) {
        FlashAlphaClient client = new FlashAlphaClient(System.getenv("FLASHALPHA_API_KEY"));

        // Gamma exposure for SPY
        JsonObject gex = client.gex("SPY");
        System.out.println(gex);

        // Live stock quote
        JsonObject quote = client.stockQuote("AAPL");
        System.out.println(quote.get("last").getAsDouble());

        // Black-Scholes greeks
        JsonObject greeks = client.greeks(450.0, 455.0, 5.0, 0.20, "call", null, null);
        System.out.println(greeks);

        // Implied volatility from market price
        JsonObject iv = client.iv(450.0, 455.0, 5.0, 3.50, "call", null, null);
        System.out.println(iv);

        // Live options screener — harvestable VRP setups
        java.util.Map<String, Object> filters = java.util.Map.of(
            "op", "and",
            "conditions", java.util.List.of(
                java.util.Map.of("field", "regime", "operator", "eq", "value", "positive_gamma"),
                java.util.Map.of("field", "harvest_score", "operator", "gte", "value", 65)
            )
        );
        java.util.Map<String, Object> body = new java.util.LinkedHashMap<>();
        body.put("filters", filters);
        body.put("sort", java.util.List.of(java.util.Map.of("field", "harvest_score", "direction", "desc")));
        body.put("select", java.util.List.of("symbol", "price", "harvest_score", "dealer_flow_risk"));
        JsonObject screen = client.screener(body);
        System.out.println(screen);
    }
}

Authentication

All endpoints (except /health and /v1/surface/{symbol}) require an API key, which is passed in the X-Api-Key HTTP request header. Obtain your key at flashalpha.com.

Set it as an environment variable and read it at runtime — never hard-code secrets in source files.

Error handling

All errors extend FlashAlphaException (a RuntimeException). Catch the specific subclass you care about:

import com.flashalpha.*;

try {
    JsonObject gex = client.gex("SPY");
} catch (AuthenticationException e) {
    // HTTP 401 — invalid or missing API key
    System.err.println("Bad key: " + e.getMessage());
} catch (TierRestrictedException e) {
    // HTTP 403 — endpoint requires a higher plan
    System.err.printf("Need %s, have %s%n", e.getRequiredPlan(), e.getCurrentPlan());
} catch (NotFoundException e) {
    // HTTP 404 — symbol or resource not found
} catch (RateLimitException e) {
    // HTTP 429 — slow down; retry after e.getRetryAfter() seconds
    Thread.sleep(e.getRetryAfter() * 1000L);
} catch (ServerException e) {
    // HTTP 5xx — server-side error
} catch (FlashAlphaException e) {
    // Catch-all for any other API error
    System.err.println("Status " + e.getStatusCode() + ": " + e.getMessage());
}

API methods

All methods return com.google.gson.JsonObject.

Market data

Method	Description	Plan
`stockQuote(ticker)`	Live stock quote (bid/ask/mid/last)	Any
`optionQuote(ticker)`	Option quotes with greeks for all contracts	Growth+
`optionQuote(ticker, expiry, strike, type)`	Filtered option quotes	Growth+
`surface(symbol)`	Volatility surface grid	Public
`surfaceSvi(symbol)`	SVI-fitted vol surface — calibrated `(a, b, rho, m, sigma)` params, per-expiry forward, ATM total variance and ATM IV	Alpha+
`stockSummary(symbol)`	Comprehensive stock summary	Any

Historical data

Method	Description	Plan
`historicalStockQuote(ticker, date, time)`	Minute-by-minute historical stock quotes	Any
`historicalOptionQuote(ticker, date, time, expiry, strike, type)`	Historical option quotes	Growth+

Exposure analytics

Method	Description	Plan
`gex(symbol)`	Gamma exposure by strike	Any
`gex(symbol, expiration, minOi)`	Gamma exposure with filters	Any
`dex(symbol)`	Delta exposure by strike	Any
`dex(symbol, expiration)`	Delta exposure filtered by expiration	Any
`vex(symbol)`	Vanna exposure by strike	Any
`vex(symbol, expiration)`	Vanna exposure filtered by expiration	Any
`chex(symbol)`	Charm exposure by strike	Any
`chex(symbol, expiration)`	Charm exposure filtered by expiration	Any
`exposureLevels(symbol)`	Key support/resistance levels	Any
`exposureSummary(symbol)`	Full GEX/DEX/VEX/CHEX + hedging summary	Growth+
`narrative(symbol)`	Verbal narrative analysis of exposure	Growth+
`zeroDte(symbol)`	Real-time 0DTE analytics	Growth+
`zeroDte(symbol, strikeRange)`	0DTE analytics with custom strike range	Growth+
`zeroDte(symbol, strikeRange, expiry)`	0DTE analytics for a specific expiry	Growth+
`maxPain(symbol)`	Max pain analysis with dealer alignment, pain curve, pin probability	Growth+
`maxPain(symbol, expiration)`	Max pain for a single expiry	Growth+
`exposureSheet(symbol[, expiration, minOi])`	Unified per-strike sheet — GEX/DEX/VEX/CHEX + DAG, chain totals, Line-in-the-Sand inflection strike, gamma peaks, OPEX / triple-witching flags	Growth+
`exposureTermStructure(symbol)`	Net GEX/DEX/VEX/CHEX aggregated by DTE bucket and rolled up per expiry	Growth+
`exposureBasket(symbols[, weights])`	Weighted cross-symbol exposure basket — aggregate net GEX/DEX/VEX/CHEX across up to 50 symbols	Growth+
`oiDiff(symbol[, topN])`	Day-over-day open-interest deltas, top-N changes by magnitude, call/put aggregate totals	Growth+

Flow (live, simulation-aware) — requires the Alpha plan

Each method has a strongly-typed *Typed variant (e.g. flowLevelsTyped).

Method	Description
`flowLevels(symbol[, expiry])`	Live gamma flip / call & put walls / max pain
`flowPinRisk(symbol[, expiry])`	0DTE pin-risk score + component breakdown
`flowSummary(symbol[, expiry])`	At-a-glance flow direction + headline GEX shift
`flowOi(symbol[, expiry])`	Open-interest simulator state (official vs intraday)
`flowGex(symbol[, expiry])`	Live (flow-adjusted) GEX + per-strike profile
`flowDex(symbol[, expiry])`	Live (flow-adjusted) DEX + per-strike profile
`flowDealerRisk(symbol[, expiry])`	Settled-vs-live dealer GEX/DEX + flow adjustment
`flowLive(symbol[, expiry])`	Everything-at-once live flow bundle
`flowSignals(symbol, minScore, intent, structure, windowMinutes, limit, expiry)`	Scored, classified unusual-flow feed (block/sweep, intent, 0-100 score)
`flowSignalsSummary(symbol, windowMinutes, expiry)`	Net bullish/bearish + opening/closing premium roll-up + top 10 signals
`flowOptionRecent(symbol, limit, expiry)`	Recent option trades, newest-first
`flowOptionSummary(symbol, expiry)`	Per-underlying option-flow aggregates
`flowOptionBlocks(symbol, minSize, expiry)`	Large option prints (`size >= minSize`)
`flowOptionHistory(symbol, minutes, expiry)`	Per-minute option-flow buckets
`flowOptionCumulative(symbol, minutes, expiry)`	Cumulative option net-flow series
`flowStockRecent(symbol, limit)`	Recent stock trades, newest-first
`flowStockSummary(symbol)`	Per-symbol stock-flow aggregates
`flowStockBlocks(symbol, minSize)`	Large stock prints (`size >= minSize`)
`flowStockHistory(symbol, minutes)`	Per-minute stock-flow buckets w/ OHLC
`flowStockCumulative(symbol, minutes)`	Cumulative stock net-flow series
`flowStockBars(symbol, resolution[, minutes])`	Per-resolution stock-flow OHLC bars (`1s/1m/5m/15m/30m/1h/4h`)
`flowDealerPremium(symbol[, windowMinutes, expiry])`	Full-tape Net Dealer Premium roll-up over a window
`flowOptionsLeaderboard(n, windowMinutes)`	Cross-symbol option-flow leaderboard
`flowOptionsOutliers(limit, minTrades, windowMinutes)`	Cross-symbol option-flow outliers
`flowStocksLeaderboard(n, windowMinutes)`	Cross-symbol stock-flow leaderboard
`flowStocksOutliers(limit, minTrades, windowMinutes)`	Cross-symbol stock-flow outliers

Pricing and position sizing

Method	Description	Plan
`greeks(spot, strike, dte, sigma, type, r, q)`	Full BSM greeks (1st/2nd/3rd order)	Any
`iv(spot, strike, dte, price, type, r, q)`	Implied volatility from market price	Any
`kelly(spot, strike, dte, sigma, premium, mu, type, r, q)`	Kelly criterion position sizing	Growth+

Volatility analytics

Method	Description	Plan
`volatility(symbol)`	Term structure, skew, realized vs implied	Growth+
`advVolatility(symbol)`	SVI, variance surface, arbitrage detection	Alpha+
`liquidity(symbol)`	Per-expiry execution / liquidity score (0-100) — ATM bid-ask spread %, OI-weighted spread %, ATM OI depth, best/worst expiry	Growth+
`skewTerm(symbol)`	Skew term structure — ATM IV, 25Δ / 10Δ wing IVs, `skew_25d`, `risk_reversal_25d`, `butterfly_25d`, `tail_convexity`	Growth+
`spotVolCorrelation(symbol)`	Rolling spot-vol correlation (empirical leverage / spot-vol-beta)	Growth+
`dispersion(index, symbols[, weights, horizonDays])`	Implied-vs-realized dispersion / vol-arb between index and constituent basket, per-constituent contribution	Alpha+
`expectedMove(symbol[, expiry])`	Straddle-implied expected move per expiry from ATM IV	Basic+
`realizedVolatility(symbol)`	Range-based realized vol over 10 / 20 / 30-day windows — close-to-close, Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang	Alpha+
`volatilityForecast(symbol[, dist])`	Conditional vol forecasts — EWMA (λ=0.94), HAR-RV, GARCH(1,1) MLE with persistence, half-life, and multi-horizon forecast path	Alpha+

Variance risk premium (VRP)

Method	Description	Plan
`vrp(symbol)`	Variance risk premium — IV-vs-RV spread, directional skew, GEX-conditioned harvest scores, short-vol strategy scores, term VRP curve	Alpha+
`vrp(symbol, date)`	Point-in-time VRP for a specific historical date	Alpha+
`vrpHistory(symbol[, days])`	Trailing series of daily VRP snapshots	Alpha+

Strategy signals

Ten decision-grade strategy signals sharing the StrategyDecisionResponse envelope (recommendation, conviction, rationale, suggested structure). Each has a *Typed variant.

Method	Description	Plan
`strategyFlowAnomaly(symbol[, expiry])`	Directional flow-anomaly signal	Growth+
`strategyExpiryPositioning(symbol[, expiry, minOpenInterest, wingWidth])`	OPEX pin / expiry-positioning signal	Basic+
`strategyZeroDte(symbol[, expiry, minOpenInterest, wingWidth])`	0DTE range-compression signal	Growth+
`strategyDealerRegime(symbol[, expiry])`	Dealer gamma-regime signal	Growth+
`strategyVolCarry(symbol[, expiry, minOpenInterest, targetShortDelta, maxWidth, minCredit])`	Vol-carry / VRP harvest signal	Alpha+
`strategyYieldEnhancement(symbol[, expiry, targetDelta, minOpenInterest, structure, excludeEarningsBeforeExpiry])`	Covered-call / cash-secured-put yield signal	Growth+
`strategySurfaceAnomaly(symbol[, expiry])`	SVI surface-anomaly signal	Alpha+
`strategySkew(symbol[, expiry])`	25-delta skew signal	Growth+
`strategyTermStructure(symbol)`	ATM term-structure signal	Growth+
`strategyTailPricing(symbol[, expiry])`	Downside-tail-pricing signal	Growth+

Earnings

Method	Description	Plan
`earningsCalendar([days, symbols, importance])`	Upcoming earnings calendar over a forward window	Growth+
`earningsExpectedMove(symbol)`	Straddle-implied earnings expected move	Growth+
`earningsHistory(symbol[, limit])`	Historical post-earnings move history	Growth+
`earningsIvCrush(symbol)`	Earnings IV-crush profile	Growth+
`earningsVrp(symbol)`	Earnings variance-risk-premium read	Alpha+
`earningsDealerPositioning(symbol)`	Earnings dealer-positioning read	Alpha+
`earningsStrategies(symbol)`	Suggested earnings option structures	Alpha+
`earningsScreener([sort, limit, days, minImportance])`	Rank upcoming earnings (e.g. `vrp_richest`)	Growth+

Structures (multi-leg, pure math)

POST endpoints — no symbol resolution; supply legs via StructureRequest / StructureGreeksRequest (StructureLeg.pnlLeg(...) / StructureLeg.greeksLeg(...)).

Method	Description	Plan
`structurePnl(request)`	At-expiry P&L curve, breakevens, max profit/loss for an arbitrary multi-leg structure	Basic+
`structureGreeks(request)`	Aggregate Black-Scholes greeks across a multi-leg position (per-leg expiry + IV)	Basic+

Zero-DTE flow

Method	Description	Plan
`flowZeroDteSnapshot(symbol)`	Intraday 0DTE flow snapshot + net `flow_direction`	Growth+
`flowZeroDteSeries(symbol[, bar, minutes])`	Intraday 0DTE bucketed-flow time series	Growth+
`flowZeroDteHedgeFlow(symbol[, side, bar, minutes])`	Intraday 0DTE dealer hedge-flow series	Growth+
`flowZeroDteHeatmap(symbol[, metric, mode, bar, minutes])`	Intraday 0DTE strike × time heatmap	Alpha+
`flowZeroDteStrikeFlow(symbol[, bar, minutes])`	Intraday 0DTE per-strike flow	Growth+

Macro and universe

Method	Description	Plan
`vixState()`	Composite VIX-state read (level, regime, term structure)	Growth+
`universe([sort, limit])`	Curated tier-1 / tier-2 symbol directory (pre-warmed universe)	Public

Screener

Method	Description	Plan
`screener(body)`	Live options screener — filter / rank symbols by GEX, VRP, IV, greeks, harvest scores, and custom formulas	Growth+

v1.1 adds screenable fields covering the new analytics: expected_move, liquidity_score, skew_25d, risk_reversal_25d, butterfly_25d, tail_convexity, spot_vol_corr, oi_diff_call, oi_diff_put, vix_state, plus the per-strike exposure_sheet columns — combinable with existing regime, harvest_score, dealer_flow_risk, vrp_regime, atm_iv, net_gex, and term_state fields.

Reference data

Method	Description	Plan
`tickers()`	All available stock tickers	Any
`options(ticker)`	Option chain metadata (expirations + strikes)	Any
`symbols()`	Currently queried symbols with live data	Any

Account and system

Method	Description	Plan
`account()`	Account info and quota usage	Any
`health()`	API health check	Public

Running tests

# Unit tests only (no API key required)
mvn test -Dtest=ClientTest

# Integration tests (requires live API key)
export FLASHALPHA_API_KEY=your_key_here
mvn test -Dtest=IntegrationTest

# All tests
mvn test

Building from source

git clone https://github.com/FlashAlpha-lab/flashalpha-java.git
cd flashalpha-java
mvn package

License

MIT. See LICENSE.

Other SDKs

Language	Package	Repository
Python	`pip install flashalpha`	flashalpha-python
JavaScript	`npm i flashalpha`	flashalpha-js
.NET	`dotnet add package FlashAlpha`	flashalpha-dotnet
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

What the Alpha tier unlocks

Free and entry tiers cover live exposure analytics. The Alpha tier ($1,499/mo) adds the data you cannot get anywhere else:

Aggregate vanna and charm exposure. FlashAlpha is the only public source for these dealer-positioning aggregates.
Point-in-time replay since 2018. Backtest and trade the same code, with no look-ahead and no training-serving skew.
SVI vol surfaces, VRP analytics, higher-order Greeks, uncached and unlimited.

Built for quants, prop desks, and vol funds. See the full picture and get a key: flashalpha.com/for-quant-teams

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.m2/repository/org/sonatype/central/central-publishing-maven-plugin/0.6.0		.m2/repository/org/sonatype/central/central-publishing-maven-plugin/0.6.0
docs		docs
src		src
.gitignore		.gitignore
AGENTS.md		AGENTS.md
CHANGELOG.md		CHANGELOG.md
LICENSE		LICENSE
README.md		README.md
llms.txt		llms.txt
pom.xml		pom.xml

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FlashAlpha Java SDK

Requirements

Installation

Maven

Gradle (Groovy DSL)

Gradle (Kotlin DSL)

Quick start

Authentication

Error handling

API methods

Market data

Historical data

Exposure analytics

Flow (live, simulation-aware) — requires the Alpha plan

Pricing and position sizing

Volatility analytics

Variance risk premium (VRP)

Strategy signals

Earnings

Structures (multi-leg, pure math)

Zero-DTE flow

Macro and universe

Screener

Reference data

Account and system

Running tests

Building from source

License

Other SDKs

Links

What the Alpha tier unlocks

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