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The strategy engine
for event-driven trading

Model systematic trading on prediction-market and real-world event data. Backtest it. Paper trade it.No code needed.

Built on live data fromKalshiPolymarketCrypto
Your strategy

Your model.
Your rules.

You already have theses about how events move markets. What you don't have is a way to test them. Panther turns each one into a systematic strategy you own — built without code, backtested on history, and paper traded against live markets.

You decide

  • Which markets to watch
  • The rules and thresholds
  • Position size and exits

Panther handles

  • Live market data
  • Running every evaluation
  • Backtests, paper fills, versions
WhenPolymarket · Senate control0.54
IfOdds change over 1 day ≥ 8 pts+3 pts
ThenGo long ETH 2% of equity
ExitWhen odds revert 50%
Mode
Draft
Last edited
Just now
Waiting on 1 condition
Odds haven’t moved 8 pts yet
Who it's for
Prediction-market traders

You already read Kalshi and Polymarket all day. Use how the odds move as a signal for crypto — and prove it in paper before you put money behind it.

How it works

From idea to execution.

Build a strategy, prove it on real history, and paper trade it against live markets — with live execution on the way.

  1. Step 1 · Build

    Build your strategy

    Drag prediction-market, crypto, and logic blocks onto a canvas and wire them into rules. No code required.

  2. Step 2 · Backtest

    Prove it on real history

    Replay your strategy tick by tick against real market data. See return, Sharpe, and drawdown before you risk a dollar.

  3. Step 3 · Paper trade

    Paper trade live markets

    Deploy against live Kalshi, Polymarket, and crypto data with simulated fills — so you can prove it forward. Live execution is on the roadmap.

The thesis

Real-world events move every market.

Elections, rate decisions, approvals, conflicts — Kalshi and Polymarket price them as a live, explicit probability. Panther lets you turn that signal into systematic trades across markets.

Crypto is supported today — more asset classes on the way.

Prediction-market events
  • Fed cuts 25bps68%
    Kalshi
  • GOP wins Senate54%
    Polymarket
  • CPI above 3%41%
    Kalshi
Asset classes
  • CryptoAvailable
  • EquitiesSoon
  • FXSoon
  • CommoditiesSoon
  • RatesSoon
Build

Systematic strategies. No code.

Testing a thesis used to mean writing a script — API clients, rolling windows, order logic, a scheduler, and a backtest harness. In Panther you snap the same strategy together from blocks. No code to write, nothing to maintain.

With Panther No code
  • Any market is one block

    Kalshi and Polymarket odds, or crypto price and volume — pick a market and it streams straight into your graph.

  • Rules that read like the idea

    Changes, thresholds, and and/or logic are blocks, so the strategy reads the way you’d explain it — not like code.

  • No glue to maintain

    Data feeds, scheduling, backtests, and paper execution are handled for you. You change the idea, not the plumbing.

AI copilot

Describe it.
AI builds it.

Tell Panther what you want in plain English. The copilot proposes the nodes, wires them in, and explains the logic — you keep control of what ships.

CopilotMacro repricing
Add a stop if ETH drops 5% intraday
Added a 1-hour % change on ETH and a stop exit on Long ETH that closes at −5%. Review the highlighted nodes.
AcceptDismiss
Ask anything…
Backtest

Prove it on real market history.

Run your strategy against real market history in seconds — see returns, drawdowns, and every trade before you risk a dollar.

Backtest · Macro repricingSample · Since Jan 2026 · 43 trades
0%+5%+10%+15%JanMarMayJulSep
Total return
+13.8%
Sharpe
1.2
Win rate
55%
Max drawdown
−11%
Profit factor
1.45
Trades
43
Evolve

Every change, tracked.

Version your strategy like code. Compare any two revisions, see exactly what changed, and watch performance improve run over run.

Version history · Macro repricing
  1. +1.2%v1
  2. +6.8%v2
  3. +11.0%v3
  4. +13.8%v4
v3v4 · what changed
  • Added Liquidity filter — gate entries on 1h volume > $75k
  • Sharpe 1.0 → 1.2 · Max DD −14% → −11%
  • Trades 61 → 43 — fewer, higher-quality entries
Replay & trace

Replay any session. Trace every tick.

Every backtest and paper-trading run is recorded tick by tick. Scrub to any moment and see the exact inputs your strategy saw, which conditions passed or failed, and why it traded — or didn't.

  • Every evaluation on one timeline

    Market inputs, each node's output, and every order line up tick by tick, so you can watch a signal build before it fires.

  • Why it fired — and why it didn’t

    The trace shows each condition's value against its threshold. A missed entry is as easy to explain as a filled one.

  • The run you tested is the run you see

    Replays come from the same engine that ran the strategy — not a re-simulation after the fact.

Why Panther

A glass box, not a black box.

Most automated trading is a bot you can't question. Panther shows you every input, rule, and fill — and lets you change them.

Black-box bots & copy-trading

  • Hidden logic
  • No idea why it fired
  • Backtest ≠ reality
  • Rented signals

Panther — see every step

  • See every rule
  • Trace every tick
  • Backtest = what runs
  • Own & version your edge
Coming soon

A community of strategies.

Share your models, fork what works, and follow the traders whose edges you trust.

  • quantmara
    @quantmara
    Macro repricing · ETH
    +13.8%1.2k followers
  • delta_dev
    @delta_dev
    CPI-surprise BTC fade
    +21.4%840 followers
  • eventedge
    @eventedge
    Election vol harvester
    +9.2%2.3k followers

Own your strategy.

Build, backtest, and paper trade event-driven strategies — in a glass box you control, not a bot you can't question.