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Scalping · Turnover

Scalping Bot Developer for High-Turnover Strategies

Scalping is an execution problem. We build scalpers with hard spread ceilings, time-in-trade limits, and broker-latency profiling—so edge is measured in ticks you can actually capture.

production / validated
pre_trade.validate()
execution.route(order)
risk.enforce_limits()
log.audit(event_id)

Scalpers die from costs—not bad entries alone

A one-pip target with two-pip average slip is a donation machine. Crypto scalpers ignore maker rebates; FX scalpers run during rollover with triple spread.

  • ×Backtests assume zero spread at all times.
  • ×Order types wrong for broker—market only when limits were viable.
  • ×Overtrading outside liquid sessions balloons costs.
  • ×No auto-pause when latency or spread spikes vs baseline.

Cost-aware scalping infrastructure

Live spread and slip trackers adjust aggression; optional maker-first posting; VPS co-location near broker matching engine region.

  • Per-trade cost ledger separating signal P&L from execution drag.
  • Session profiles for London/NY overlap vs Asia thin hours.
  • Max trades per hour/day preventing revenge loops in code.
  • Sub-100ms paths on crypto where colocated VPS used.

High-frequency discretionary codifiers

Traders who already scalp manually and want repeatability without illusion of tick data fantasy on wrong broker.

FX prop scalpers

MT5 EAs with firm lot and time stop rules.

Crypto perp scalpers

Binance/Bybit bots with maker rebate optimization.

Futures index scalpers

NinjaTrader or API bots on CME micro contracts.

Desk automation

Codify lead trader clicks with approval layer.

Real-world delivery examples

EURUSD M1 prop scalper

Trader needed 5–8 pip targets with 1.2 pip max spread on IC Markets.

Execution drag 0.4 pip avg; passed funding with 6% monthly return target.

BTC perp maker scalper

Bybit scalper prioritized maker fills with 30s time stop.

Fee rebate contributed 22% of gross; net Sharpe 1.4 over 90 days.

What you get

Spread percentile gate

Skip entries when spread above N-minute percentile.

Slippage budget tracker

Pause strategy when rolling avg slip exceeds config.

Time stop enforcement

Flat after N seconds regardless of P&L.

Maker-first order logic

Post-only attempts before market cross when exchange supports.

Latency probe

Periodic ping to broker API; alert on degradation.

Tick-quality filter

Ignore signals on stale or synthetic tick gaps.

Technology stack

TechnologyRole in your build
MQL5 / Rust / C++Platform-matched scalping core
WebSocket feedsLow-latency book and trade streams
InfluxDBTick-level slip and spread analytics
Co-located VPSLD4, TY3, or AWS region near venue
GrafanaReal-time execution quality dashboards

Development process

  1. 01

    Broker benchmark

    Measure spread, slip, and latency on your account.

  2. 02

    Signal codify

    Translate entry/exit rules with cost assumptions.

  3. 03

    Execution shell

    Gates, order types, and time stops integrated.

  4. 04

    Micro-lot live

    Minimum size forward test with cost ledger review.

  5. 05

    Scale decision

    Data-driven go/no-go on size increase.

Frequently asked questions

Can scalping work on standard VPS?+

Often yes for FX with good broker. Crypto perps benefit from closer regions—we benchmark first.

Do you guarantee pip targets?+

No. We engineer execution quality; alpha remains your strategy responsibility.

Tick data backtests?+

Yes on MT5 and stored crypto ticks with realistic spread models.

Prop firm scalping EAs allowed?+

Depends on firm; we encode their rules and avoid forbidden patterns like latency arb.

Human approval before trades?+

Optional semi-auto mode sends Telegram confirm before send.

Related services

Build a scalping bot that respects costs

Share broker, symbols, and avg hold time—we benchmark before quoting build.