Algorithmic trading
Coding your rules so a machine executes them without emotion, 24 hours, without fatigue. It sounds like the trader's dream, but automating amplifies both your edge and your mistakes. Here you see what it really involves, not the fantasy.
By the TradingCalculator.Pro team · Updated on · About us
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What it is (systematic vs discretionary)
An algorithm is a set of entry, exit and sizing rules so precise a computer can follow them with no human judgment. Systematic trading = the rules decide; discretionary = you decide. The real advantage isn't speed, it's removing fear and greed from execution.
Backtesting
Testing the strategy on historical data before risking real money. Essential, but treacherous: it is dead easy to 'curve-fit' (overfit) until the backtest shines and then fails live. Golden rule: hold out out-of-sample data the algorithm never saw and validate there. A perfect backtest is usually a red flag, not a success.
Execution, APIs & latency
The bot connects to the broker via API to read prices and send orders automatically. For retail, milliseconds rarely matter; professional HFT does pay for colocation (servers next to the exchange). What does affect you: slippage and fees turn a winning backtest into a losing system if you don't model them.
Pitfalls: overfitting & biases
The silent killers of systems: overfitting to past data; survivorship bias (testing only on stocks that still exist); look-ahead bias (using data you wouldn't have had at the time); and ignoring real costs. Each makes the backtest lie. The more parameters you tune, the more likely you memorize the noise instead of learning the signal.
Automation risk
A faulty algorithm can drain an account in minutes: a bug, corrupt data or a market outside the expected range, and the bot repeats the error at full speed. Non-negotiable: a kill switch, coded daily loss limits, alerts and human oversight. Never leave a live-money system running unwatched.