Crypto Exchanger Development

We design and develop full-cycle blockchain solutions: from smart contract architecture to launching DeFi protocols, NFT marketplaces and crypto exchanges. Security audits, tokenomics, integration with existing infrastructure.
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Crypto Exchanger Development
Medium
~1-2 weeks
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Crypto Exchanger Development

A crypto exchanger is architecturally simpler than an exchange, but requires thoughtful business logic: liquidity management, rate formation, integration with payment systems. The exchanger's task is to buy cryptocurrency from one party and sell to another, converting it with a margin or directly.

Exchanger Models

Aggregator (Without Own Liquidity)

The exchanger routes transactions through partner APIs: Changelly, ChangeNow, SimpleSwap. No own reserves, profit comes from partner commissions or rate differences.

Pros: minimal operational risks, quick launch. Cons: partner dependency, limited rate control.

With Own Reserves

The exchanger holds reserves of different currencies. On exchange — issues from reserve, replenishes through exchanges.

Pros: full rate control, no partner dependency. Cons: operational risks (cryptocurrency storage), need for liquidity management.

Hybrid Model

Small exchanges from reserve, large ones through aggregator. Optimal choice for most projects.

Rate Formation

class RateCalculator:
    def __init__(self, markup_pct: float = 1.5):
        self.markup_pct = markup_pct  # exchanger margin
        self.price_feeds: dict[str, PriceFeed] = {}  # prices from external exchanges
    
    def get_exchange_rate(self, from_currency: str, to_currency: str, 
                           amount: Decimal) -> ExchangeQuote:
        # Get base market price
        market_rate = self.price_feeds['binance'].get_price(from_currency, to_currency)
        
        # Apply markup
        markup_multiplier = Decimal(1) - Decimal(str(self.markup_pct)) / 100
        client_rate = market_rate * markup_multiplier
        
        # Account for network fee (sum lost on transfer)
        network_fee = self.get_network_fee(to_currency)
        
        result_amount = amount * client_rate - network_fee
        
        return ExchangeQuote(
            from_currency=from_currency,
            to_currency=to_currency,
            from_amount=amount,
            to_amount=result_amount,
            rate=client_rate,
            network_fee=network_fee,
            expires_at=datetime.utcnow() + timedelta(minutes=15),  # fix rate for 15 min
        )

Dynamic Margin

Margin depends on amount: small sums — high margin (high % fee from network), large — reduced for attracting big clients:

def get_dynamic_markup(self, amount_usd: Decimal) -> Decimal:
    tiers = [
        (Decimal('100'),    Decimal('3.0')),   # up to $100 — 3%
        (Decimal('1000'),   Decimal('2.0')),   # up to $1000 — 2%
        (Decimal('10000'),  Decimal('1.5')),   # up to $10k — 1.5%
        (Decimal('inf'),    Decimal('1.0')),   # above $10k — 1%
    ]
    for threshold, markup in tiers:
        if amount_usd <= threshold:
            return markup
    return tiers[-1][1]

Exchange Process

1. Client specifies: give BTC, receive USDT, amount X
2. System: generates deposit address BTC, fixes rate for 15-30 min
3. Client sends BTC to deposit address
4. System: monitors blockchain, waits for N confirmations
5. After confirmation: converts and sends USDT to client address
6. Client receives notification with output TxHash

Key transaction states:

class ExchangeStatus(str, Enum):
    CREATED = 'created'        # created, awaiting deposit
    AWAITING = 'awaiting'      # deposit noticed, awaiting confirmation
    CONFIRMING = 'confirming'  # N/M confirmations
    EXCHANGING = 'exchanging'  # converting
    SENDING = 'sending'        # sending to client
    FINISHED = 'finished'      # completed
    EXPIRED = 'expired'        # time expired, no deposit
    FAILED = 'failed'          # error
    REFUNDED = 'refunded'      # refund

Reserve Management

class ReserveManager:
    def reserve_for_exchange(self, currency: str, amount: Decimal) -> bool:
        """Reserve amount for client payout"""
        available = self.get_available_reserve(currency)
        if available < amount:
            # Not enough reserves — need to top up
            self.trigger_reserve_topup(currency, amount)
            return False
        
        # Atomically reserve
        self.db.execute(
            "UPDATE reserves SET reserved = reserved + %s WHERE currency = %s",
            (amount, currency)
        )
        return True
    
    def check_low_reserves(self):
        """Alert on low reserves"""
        for currency, balance in self.get_all_reserves():
            threshold = self.config.reserve_thresholds[currency]
            if balance < threshold:
                self.alerter.send(f"Low reserve: {currency} = {balance} (threshold: {threshold})")

Tech Stack

Component Technology
Backend Python (FastAPI) / Go
Database PostgreSQL
Blockchain monitoring Own + Alchemy/QuickNode
Price data Binance / CoinGecko API
Task queues Redis + Celery / Bull
Frontend React / Next.js
KYC/AML Sumsub / Veriff (optional)

Development Timeline

  • MVP (2–3 pairs, no KYC): 6–8 weeks
  • Full exchanger (10+ pairs, KYC, admin panel): 3–4 months
  • Mobile app: +2–3 months