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Algo Trading: Algorithmic Trading

Also known as: Automated Trading, Black-Box Trading, Systematic Trading, Robo Trading

What is Algo Trading: Algorithmic Trading?

Algorithmic trading is the use of computer programs to place, manage, and close trades automatically according to pre-defined rules, without a human clicking the button on each order. The rules can be as simple as a moving-average crossover or as complex as a multi-factor statistical model.

In retail brokerage, most algorithmic trading runs on platform-native scripting: Expert Advisors (EAs) written in MQL4/MQL5 on MetaTrader, cBots in C# on cTrader, or standalone engines connected through a FIX API or the MT5 Gateway. The program monitors price ticks, checks its entry and exit conditions, sizes the position, and submits the order in milliseconds — far faster and more consistently than a manual trader.

Key takeaways
  • One algo account can produce hundreds of lots a month — the best volume-IB target there is.
  • Execution quality (low latency, low slippage, market execution) is the deal-breaker, not brand.
  • VPS and low-spread account offers are your strongest conversion hooks.
  • Rebates are recurring and low-churn as long as the bot stays profitable.
  • Match the strategy to the book: scalpers and arb bots belong on A-Book/ECN, not a market maker.

Because the logic never sleeps, an algo can trade a full 24/5 forex week or a 24/7 crypto market, reacting to setups at 3 a.m. that a person would miss. A single grid or scalping EA on one account can turn over hundreds of standard lots per month. That volume is exactly what makes algo traders the highest-value clients an IB can acquire.

For example, a modest EA risking 1% per trade and taking 20 trades a day at 0.5 lots each generates roughly 10 lots daily, about 200 lots a month. At a $6 per-lot rebate that is $1,200 of monthly IB income from one automated client — and the client rarely churns as long as execution stays clean.

How it works

An algorithmic strategy runs as a loop attached to a chart or data feed. On every new price tick it evaluates its entry conditions; when they are met it calculates lot size from a risk rule, submits a market or pending order, and then manages stops, take-profits, and trailing logic until the position closes.

Execution quality decides whether the strategy is profitable. The bot sends orders to the broker, which either fills them internally (B-Book) or routes them to a liquidity provider (A-Book / STP). Latency, requotes, and slippage between the bot's signal price and the actual fill directly erode edge, which is why serious algo traders demand raw-spread accounts, ECN routing, and a VPS located in the same data centre as the broker's server (commonly Equinix LD4 in London or NY4 in New York).

  1. Strategy is coded

    The trader writes the logic as an EA (MQL5), cBot (C#), or an external engine that connects via FIX API or the MT5 Gateway.

  2. Backtest and forward-test

    The bot is tested on historical data, then run on a demo or cent account to validate behaviour on live spreads and slippage.

  3. Deploy on a VPS

    The algo is moved to a low-latency VPS near the broker's server so it runs 24/5 without depending on the trader's home connection.

  4. Live execution

    The engine monitors ticks, sizes positions, and submits orders automatically as conditions are met.

  5. Volume accrues to the IB

    Every filled lot is logged against the introducing broker's link, generating spread or commission rebates.

Why it matters for partnership: Algo traders are the highest-value niche for volume IBs: one 24/5 bot can turn hundreds of lots a month into recurring rebates. Market execution quality, low spreads, and VPS partnerships are your core selling points.

Real World Example

An affiliate publishes 'Best Raw-Spread Brokers for EA Trading' and ranks IC Markets and Pepperstone for their Equinix-hosted MT5 servers. A developer clicks through, opens a raw ECN account, and runs a scalping EA that turns over 500 lots a month. At a $5 per-lot rebate the affiliate earns roughly $2,500 monthly from that single client.

Algorithmic vs manual (discretionary) trading
Aspect Algorithmic Manual
Speed Milliseconds, tick-driven Human reaction time
Uptime 24/5 unattended on a VPS Limited to when trader is present
Volume per account Very high (100s of lots/mo) Typically lower
Execution sensitivity Extremely sensitive to slippage/latency More tolerant
IB value Premium volume client Standard client

Pro Tip

Bundle a VPS affiliate offer with your low-spread broker link — algo traders need hosting anyway, so you earn a second commission from the VPS provider on the same lead.

Common Pitfalls

Recommending a high-slippage or requote-prone broker to algo traders causes their bots to underperform, and they close the account within weeks — killing your recurring rebate.

FAQ

Do I earn IB commissions on trades an EA places automatically?

Yes. Rebates are paid on filled volume regardless of whether a human or a bot submitted the order, which is why algo clients are so valuable.

Which platform do most algo traders use?

MetaTrader 5 and its MQL5 language dominate retail algo trading, with cTrader (C#) popular among those who prefer ECN execution. Institutional bots often connect via FIX API.

Why do brokers care whether an algo scalps?

Ultra-fast scalping and latency arbitrage can be unprofitable for a market maker, so B-Book brokers may restrict them. Route those clients to A-Book/ECN brokers who welcome the flow.

Is algorithmic trading legal for retail clients?

Yes, running EAs and bots on your own account is permitted at virtually all regulated brokers. The restrictions concern specific abusive tactics, not automation itself.

What single factor decides where I should send an algo lead?

Execution. Prioritise raw spreads, market execution, and a data-centre-hosted server; brand and bonuses matter far less to this audience.

Does algo trading guarantee my clients will profit?

No. Automation removes emotion and adds speed, but strategies can and do lose money. Market your broker on execution and reliability, never on promised returns.