polyalpha 0.2.2

Python SDK for Polymarket — market discovery, real-time price streaming, and paper trading

polyalpha

Python SDK for Polymarket — discover prediction markets, stream live prices, trade paper or real, run bots with composable strategy conditions, analyse with 20+ TA indicators and AI signals, track P&L with full reporting, and manage wallets.

pip install polyalpha

---

Quick start

import polyalpha

client = polyalpha.Client()
market = client.markets.latest("BTC", "5m")

stream = client.stream(market)
@stream.on("price")
def on_price(up, down):
    print(f"UP={up:.4f}  DOWN={down:.4f}")
stream.start(background=True)

client.paper.buy(market, side="UP", amount=10.0)
client.paper.summary()

---

Market discovery

Find any Up/Down market by asset + timeframe, slug, keyword, or browse all active.

client.markets.latest("BTC", "5m")
client.markets.latest("ETH", "15m")
client.markets.latest("SOL", "1h")
client.markets.get("btc-updown-5m-1751234700")
client.markets.search("ETH 15m")
client.markets.available("5m")      # all active 5m markets

Assets: BTC, ETH, SOL, XRP, DOGE, HYPE, BNB
Timeframes: 5m, 15m, 1h, 4h, 24h

---

Price streaming

WebSocket stream with auto-reconnect, PING keepalive, and five event hooks.

stream = client.stream(market)

@stream.on("price")   def on_price(up, down): ...
@stream.on("book")    def on_book(data): ...
@stream.on("trade")   def on_trade(data): ...
@stream.on("close")   def on_close(): ...
@stream.on("error")   def on_error(exc): ...

stream.start()                    # blocking
stream.start(background=True)     # daemon thread
stream.stop()

# Latest prices without a handler
stream.up
stream.down

See examples/stream.py and examples/async_stream.py.

---

Paper trading

Simulate orders with configurable fees, slippage, execution delay, and risk limits. Attach a stream for live P&L.

client = polyalpha.Client(balance=500.0)

client.paper.buy(market, side="UP", amount=10.0)
client.paper.sell(market, side="UP", amount=5.0)
client.paper.limit(market, side="UP", price=0.92, amount=25.0)
client.paper.cancel(order.id)
client.paper.cancel_all()

client.paper.positions()       # open positions
client.paper.all_positions()   # all, incl. resolved
client.paper.balance
client.paper.summary()         # P&L table

# Advanced order types
client.paper.buy(market, side="UP", amount=10.0,
    trailing_stop=0.05,         # 5% trailing stop
    stop_loss=0.10,             # 10% stop-loss
    take_profit=0.50,           # 50% take-profit
    oco_group="group1")         # one-cancels-other

# Attach a stream for auto-fill + live P&L
client.paper.attach_stream(stream, market)

# Resolve after settlement
client.paper.resolve(market, outcome="UP")

See examples/paper.py and examples/advanced_orders.py.

Paper config & presets

Tune realism: fee model, slippage, fill probability, execution delay, risk limits.

from polyalpha import PaperConfig

config = PaperConfig.REALISTIC    # 2s delay, polymarket fees, 85% fill prob
config = PaperConfig.AGGRESSIVE   # no delay, high fill prob
config = PaperConfig.CONSERVATIVE # slippage, low fill prob
config = PaperConfig.TEST         # zero fees, instant, 100% fill

client = polyalpha.Client(balance=500.0, paper_config=config)
# or load from .env:
client = polyalpha.Client(paper_config_from_env=True)

Built-in presets

Preset	Slippage	Delay	Fee	Fill prob
CONSERVATIVE	0.1%	1s	2%	85%
BALANCED	0.02%	~1s	2%	92%
AGGRESSIVE	0%	0	2%	100%
REALISTIC	0.03%	2s	polymarket	85%
STRESS	0.1%	5s	polymarket	70%
TEST	0%	0	0%	100%

---

Bots

Bot handles the full lifecycle: discover → stream → tick → resolve → rollover → repeat.

bot = polyalpha.Bot("BTC", "5m", balance=500)

@bot.on_tick
def strategy(ctx):
    if ctx.price.up > 0.9 and ctx.rsi > 50:
        ctx.buy("UP", 20)

bot.run()  # blocking, auto-rollover

TickContext

ctx.price.up / ctx.price.down   # current prices
ctx.balance                     # paper balance
ctx.positions                   # open positions
ctx.pnl                         # realised P&L
ctx.rsi / ctx.sma_20 / ctx.ema_12   # indicators (requires pandas)
ctx.tick_count / ctx.trade_count
ctx.buy("UP", 20)               # market buy
ctx.limit("UP", 0.92, 25)       # limit order
ctx.close_position("UP")        # close position

Composable conditions

Use declarative conditions with and_, or_, not_ (or &, |, ~).

from polyalpha.conditions import rsi_above, price_above, and_

bot.when(and_(rsi_above(50), price_above("up", 0.9))).buy("UP", 20)
bot.when(rsi_below(30) & price_below("down", 0.15)).buy("DOWN", 20)
bot.run()

Built-in conditions: rsi_above, rsi_below, price_above, price_below, price_change_pct_above, sma_above, sma_below, trending_up, trending_down, volatility_above, volume_above, min_tick_count, max_spend, stopped

See examples/bot_simple.py.

---

Real trading

Trade live on Polymarket via CLOB with EIP-712 signing.

client = polyalpha.Client(
    private_key="0x...",
    rpc_url="https://polygon-rpc.com",
    polymarket_api_key="...",
)

client.real.buy(market, side="UP", amount=10.0)
client.real.cancel(order.id)
client.real.positions()
client.real.order_history()

Real trading presets: conservative, balanced, aggressive, scalp, dca, test.

See examples/real_trading.py and examples/clob_client_example.py.

---

Auto-redeem

Schedule automatic redemption of winning positions.

from polyalpha import AutoRedeemConfig

config = AutoRedeemConfig(time_interval="1d", min_value_usd=100.0)
client.paper.set_auto_redeem_config(config)
client.paper.auto_redeem.start_scheduler()

# Manual
client.paper.auto_redeem.redeem()
client.paper.auto_redeem.get_redeem_history()

Triggers: time interval, market count, value threshold. Safety: dry-run, min age, max value caps.

See examples/auto_redeem.py.

---

Order book

REST snapshots + optional WebSocket deltas, in-memory O(1) manager, analytics, and backtestable strategies.

# REST
feed = client.orderbook(market)
feed.refresh()
feed.bids[:3]
feed.asks[:3]

# Attach stream for live updates
feed.attach_stream(client.stream(market))

# Analytics
from polyalpha.orderbook import estimate_fill, book_summary, cumulative_depth
estimate_fill(snapshot, side="UP", amount=100.0)

# Strategies + backtesting
from polyalpha.orderbook import MomentumStrategy, SpreadStrategy, BacktestEngine

Strategies: MomentumStrategy, MeanReversionStrategy, SpreadStrategy (market making), ImbalanceStrategy.

See examples/orderbook_example.py.

---

Technical analysis

Multi-source data feed and 20+ TA indicators.

from polyalpha.analysis import DataFeed, IndicatorCalculator, SignalGenerator

feed = DataFeed(DataFeedConfig(source="binance", timeframe="5m"))
data = feed.fetch("BTC")

ind = IndicatorCalculator(data)
ind.rsi(14)
ind.bollinger_bands(20, 2.0)
ind.macd(12, 26, 9)
ind.adx(14)
ind.atr(14)
ind.stochastic(14, 3, 3)
ind.obv()

sig = SignalGenerator(ind)
sig.rsi_above(50)
sig.price_above_sma(20)
sig.bollinger_breakout("upper")
sig.macd_crossover()
sig.summary()  # all signals at once

Data sources: binance (default), chainlink, coingecko, custom.

See examples/analysis.py.

---

AI-powered signals

Analyse markets and generate trading signals via OpenRouter.

client = polyalpha.Client(openrouter_api_key="sk-or-...")

analysis = client.ai.analyse(market)
analysis.sentiment    # "bullish" | "bearish" | "neutral"
analysis.confidence   # 0.0 – 1.0
analysis.reasoning    # markdown explanation

signal = client.ai.signal(market)
signal.action         # "BUY" | "SELL" | "HOLD"
signal.side           # "UP" | "DOWN" | None
signal.strength       # 0.0 – 1.0

See examples/ai_trading.py.

---

Reporting

Generate terminal summaries, interactive HTML dashboards, and PNG snapshots of paper-trading performance.

client.paper.report.show()                    # terminal (rich tables)
client.paper.report.html(open_browser=True)   # interactive HTML
client.paper.report.save_png("report.png")    # requires kaleido

30+ metrics: Sharpe, Sortino, Calmar, Omega, Kelly criterion, VaR, CVaR, profit factor, win rate, average win/loss, max drawdown, recovery factor.

12 charts: equity curve, underwater drawdown, P&L per trade, win/loss distribution, monthly returns, rolling Sharpe, correlation matrix, P&L hourly heatmap.

See examples/report.py and examples/reporting.py.

---

Database

SQLite-backed trade persistence with optional encryption.

client = polyalpha.Client(db_path="./trades.db")

db = client.paper.db
db.get_statistics(start_date="2026-01-01", end_date="2026-07-22")
db.get_trades(market_slug="btc-updown-*")
db.export_json("trades.json")
db.export_csv("trades.csv")

See examples/database_example.py and examples/database_security_example.py.

---

Sniper bot

Time-window execution bot with configurable thresholds and auto-rollover.

from polyalpha import Sniper, SniperConfig

Sniper(SniperConfig(
    asset="BTC", timeframe="5m",
    balance=500.0, window_seconds=30,
    side="UP", order_size=25.0,
    auto_rollover=True,
)).run()

See examples/sniper.py and examples/sniper_ta.py.

---

Tracker

Real-time P&L tracking with JSON/CSV export.

from polyalpha import Tracker

tracker = Tracker(client.paper)
tracker.sync()
tracker.summary()
tracker.export_json("trades.json")
tracker.export_csv("trades.csv")

See examples/tracker.py.

---

Wallet management

Multi-wallet paper trading and secure wallet storage (AES-256, multi-sig, audit logging).

from polyalpha.trading import PaperWallet

client.paper.add_wallet(PaperWallet(balance=1000.0, name="trader-1"))
client.paper.switch_wallet("trader-1")

See examples/multi_wallet_paper.py.

---

Errors

Typed exceptions for every failure mode:

from polyalpha import (
    PolyalphaError,          # base
    MarketNotFound,          # slug not found
    MarketClosed,            # window closed
    StreamDisconnected,      # WS retry exhausted
    InsufficientBalance,     # balance too low
    OrderNotFound,           # unknown order
    OrderRejected,           # CLOB rejection
    OrderTimeout,            # not filled
    RiskLimitExceeded,       # risk check failed
    NetworkError,            # HTTP/WS failure
)

---

Logging

Variable	Default	Description
POLYALPHA_LOG_LEVEL	WARNING	DEBUG / INFO / WARNING / ERROR
POLYALPHA_LOG_FILE	—	File path (10 MB rotate)
POLYALPHA_LOG_FORMAT	text	text or json

Sensitive data (keys, addresses, tokens) is auto-redacted in both formats.

---

Configuration

client = polyalpha.Client(
    balance         = 100.0,        # paper USDC balance
    timeout         = 10,           # HTTP timeout (s)
    retries         = 3,            # HTTP retries
    log_level       = "WARNING",
    rate_limit      = None,         # requests/s
    paper_config    = None,         # PaperConfig instance
    paper_config_from_env = False,
    db_path         = None,         # SQLite path
    openrouter_api_key = None,      # AI features
    private_key     = None,         # real trading key
    rpc_url         = None,         # Polygon RPC
    polymarket_api_key = None,      # CLOB API key
    real_config     = None,         # RealTradingConfig
)

---

Examples index

File	What it shows
examples/market.py	Market discovery and slug resolution
examples/stream.py	Price streaming with all event hooks
examples/paper.py	Paper trading — buy, sell, limit, summary
examples/advanced_orders.py	Trailing stop, OCO, take-profit
examples/bot_simple.py	Bot with on_tick strategy
examples/sniper.py	Sniper time-window bot
examples/sniper_ta.py	Sniper + technical analysis
examples/analysis.py	TA data feed, indicators, signals
examples/ai_trading.py	AI-powered analysis + signals
examples/orderbook_example.py	Order book REST + WS + analytics
examples/report.py	Report engine — show, HTML, PNG
examples/reporting.py	Full reporting with metrics + charts
examples/real_trading.py	Live CLOB trading
examples/auto_redeem.py	Scheduled auto-redeem
examples/tracker.py	P&L tracker + export
examples/multi_wallet_paper.py	Multi-wallet paper trading
examples/database_example.py	SQLite trade persistence
examples/database_security_example.py	Encrypted database
examples/async_bots.py	Async bot strategies
examples/risk_management.py	Risk limits and controls
examples/pairsum_arb.py	Arbitrage example
examples/pre_trade_checks.py	Pre-trade validation
examples/fee_rebates.py	Fee rebate tracking
examples/portfolio_analytics.py	Portfolio-level analysis
examples/weather_config_example.py	Weather market example

---

Project layout

src/polyalpha/
├── __init__.py          Public API surface
├── client.py            Client — single entry point
├── markets.py           MarketClient — discovery
├── stream.py            Stream — WebSocket price feed
├── bot.py               Bot — lifecycle runner
├── conditions.py        Composable strategy conditions
│
├── core/                Constants, errors, market models, env
├── trading/             PaperEngine, RealTradingEngine, auto-redeem, retry
├── orderbook/           REST + WS book, manager, strategies, backtest
├── analysis/            DataFeed, 20+ indicators, 30+ signals
├── ai/                  OpenRouterClient, MarketAnalysis, TradingSignal
├── report/              ReportEngine, metrics (30+), charts (12), HTML
├── bots/                Sniper, Tracker
├── database/            SQLite, encryption, auth
├── wallet/              WalletSecurity, MultiSig, TransactionSigner, AuditLogger
└── utils/               Sensitive-data logging

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License

MIT