Live on Kalshi — scanning now

Find Mispriced
Crypto Contracts
Before Anyone Else

Tocalana scans Kalshi's 15-minute crypto prediction markets in real time, pricing every contract with a quantitative model to surface trades with genuine edge.

See How It Works

15m

Market Windows

BTC + ETH

Assets Tracked

45s

Scan Frequency

tocalana.xyz/dashboard

Balance

$247.50

Realized P&L

+$47.50

Win Rate

62.5%

Trades

5W / 3L

BTC8 min
LONG
Entry $0.12Payout $0.88
ETH11 min
SHORT
Entry $0.18Payout $0.82
BTC6 min
LONG
Entry $0.08Payout $0.92

Why Tocalana

Your Edge in Prediction Markets

Real-Time Mispricing Detection

Scans every open Kalshi 15-minute crypto market every 45 seconds, pricing contracts with a Black-Scholes model to find genuine edge.

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Quantitative Pricing Model

Fair values computed using log-normal distribution with EMA-20 trend confluence. Not vibes — math.

Confidence-Rated Signals

Every signal scored 0-100 on edge size, trend alignment, risk/reward ratio, and time window. Only the highest quality trades surface.

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Bank-Grade Encryption

Your Kalshi API keys are encrypted with Fernet (AES-128-CBC) before storage. Decrypted only in memory, never logged, never stored in plaintext.

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One-Click Execution

See a signal you like? Execute directly from the dashboard. Order goes straight to Kalshi with optimal limit pricing.

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Mobile-Ready PWA

Works on any device. Install as an app on your phone — no app store needed. Get signals on the go.

How It Works

From Sign-Up to First Trade in 2 Minutes

1

Sign in with Google

One click to create your account. No passwords to remember, no email verification.

2

Connect your Kalshi account

Paste your Kalshi API key and private key in Settings. They're encrypted instantly and stored securely.

3

Scan for signals

Hit Scan or enable Auto-Scan (every 45s). Tocalana prices every open market and surfaces mispriced contracts.

4

Execute with one click

Each signal shows entry price, payout, edge, and confidence. Like what you see? One tap to place the order.

The Model

Quantitative Edge,
Not Gut Feeling

Tocalana prices every binary option using the Black-Scholes d2 term — the same framework used by institutional derivatives desks. When our fair value diverges from the market price, that's your edge.

Log-normal pricing model calibrated to crypto vol
EMA-20 trend filter for directional confluence
Kelly Criterion position sizing (fractional)
Minimum 2.5:1 reward-to-risk ratio on every trade
Counter-trend trades automatically penalized

Fair Value Computation

d2 = (ln(S/K) - 0.5σ²T) / σ√T
P(above) = Φ(d2)
Edge = Fair Value - Market Price

S = spot price, K = strike, σ = volatility, T = time to expiry

Ready to Find Your Edge?

Join Tocalana and start scanning Kalshi markets for mispriced crypto contracts. Free to start.