FUNDAMENTALS

What is
algorithmic trading?

Decisions come from rules written in advance, not from emotion — and rules can be tested.

SCROLL
Rule-based decision flowEXAMPLE
ENTRY CONDITIONEXIT CONDITIONRISK LIMIT
01 — DEFINITION

What is algorithmic trading?

It means turning a strategy into explicit rules: which conditions open a position, which conditions close it, how much risk is taken. Once the rules are written, the decision is driven by data rather than interpretation.

So the foundation of algorithmic trading is not prediction — it is definition. A vague instinct cannot be tested. A written rule can.

A decision made on emotion
ENTRYIt's going up, I don't want to miss it
EXITLet me wait a little longer
MEASUREThere is no record of why I bought
COMPARE
A decision made on rules
ENTRYRSI(4h) below 30 and price at the lower Bollinger band
EXITTake profit or stop loss, both set in advance
MEASUREEvery trade follows the same rule
02 — WHO USES IT

Who uses it?

01

Institutional funds

To manage large volumes in a rule-driven, auditable way.

02

Professional traders

To measure their own strategies and turn them into systems.

03

Individual investors

To separate decisions from emotion and stop living in front of a screen.

03 — ADVANTAGES

Why it matters

Free from emotion
The rule is written once; fear and haste never enter the decision.
Markets never close
Crypto runs around the clock. A rule defined in advance does not depend on you watching the screen.
Discipline
The same conditions produce the same behaviour — with no exceptions.
Measurable
Every decision is explicit, so it can be tested against historical data.
Repeatable
One rule applies identically across different coins and timeframes.
04 — THE CORE

At the center of everything:
backtesting

Until you have seen how a set of rules behaved on historical data, nothing is known about those rules. A backtest is not a promise — it is a measurement.

1STEP 1/4
Define the strategy
State your entry, exit and risk rules explicitly.
2STEP 2/4
Run it on history
Apply the rule across minute-level historical data.
3STEP 3/4
Measure the result
Trade count, distribution, robustness — read the raw numbers.
4STEP 4/4
Refine
Change the weak part and run the test again.
STEP 4 RETURNS TO STEP 1 — THE LOOP REPEATS
05 — PERSPECTIVE

Is the future of trading algorithmic?

Rule-based decision-making keeps spreading. As data access and computing power get cheaper, individual investors reach tools that were institutional-only for years.
But an algorithm is not an edge by itself. A badly defined rule will be wrong quickly and consistently. The difference lies in how honestly the rule was tested.
06 — PLATFORM

Why TrendArcher fits this work

81
coins
Every supported pair, computed every minute. Switching between them is a lookup, not a wait.
10
conditions at once
See which coins satisfy all ten right now — or test the same ten across years of history.
142
indicator values
Pair a 1-minute volume spike with a 24-hour trend reading, and query all 81 coins on it.
1m — 24h
timeframes
The full ladder. When scales agree the move is real; when they disagree, look closer.
Minute-level
backtest speed
Years of one-minute history across several coins in one run — change a rule and ask again.
07 — WHAT SETS IT APART

What you won't find elsewhere

01

No look-ahead

Every row is computed only from what was known at that moment. The next candle's information never leaks into the decision.

NO LOOK-AHEAD
02

Pre-computed indicators

Indicator values are calculated and stored in advance, so a backtest reads them instead of recomputing 142 values every minute.

PRECOMPUTED
03

Live and historical, cross-validated

The live pipeline and the historical one are held to the same output and compared value by value.

CROSS-VALIDATED
04

Undefined is not zero

When a value cannot be computed it stays empty. It is never quietly written as zero.

NULL ≠ 0

Write your rule. Ask the data.

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This page is for informational purposes and is not investment advice. Backtest results are based on historical data and do not indicate future market behaviour.