Stochastic Crossover EA for MT5 — No Code
Can I build a Stochastic crossover EA for MT5 without coding?
Yes. Add Stochastic on Step 3 — Signals in AlfaTactix Strategy Builder. Buy: condition Cross → Target = d, Direction = Up ( %K crosses above %D ). Sell: Cross → Target = d, Direction = Down. Set K Length 14, D Length 3, Smoothing 3, Overbought 80, Oversold 20, Source Close. Add Stop Loss on Step 5, Save, export MQL5 from Code Generator, compile once, backtest H1 EURUSD with Every tick in the Strategy Tester.
Disclosure: Educational build guide — not financial advice. Backtest and Demo do not guarantee live profits.
Related guides: Stochastic Indicator (academy) · RSI Overbought/Oversold EA — No Code · Build EA Without Coding · Backtest in Strategy Tester · EA Strategy Library
What Is a Stochastic Crossover EA?
A Stochastic crossover Expert Advisor automates entries when the %K and %D lines interact:
| Signal | Rule (this guide) |
|---|---|
| Buy | %K crosses above %D — Cross, Target d, Direction Up |
| Sell | %K crosses below %D — Cross, Target d, Direction Down |
Alternative: cross out of oversold/overbought zones (Target oversold / overbought) — documented below.
The EA runs on OnTick() [1]. Strategy Builder exports iStochastic [2] logic — you do not hand-write CopyBuffer calls.
Classic Settings and When It Works
| Setting | Starter | Notes |
|---|---|---|
| K Length | 14 | %K lookback |
| D Length | 3 | %D smoothing |
| Smoothing | 3 | Extra %K smoothing |
| Overbought | 80 | Zone cap |
| Oversold | 20 | Zone floor |
| Timeframe | H1 | M15 = more signals; H4 = fewer |
| Symbol | EURUSD | Tight spread helps |
Works best: Range-bound or pullback markets after a move into oversold/overbought.
Struggles in: Strong trends — Stochastic can stay pegged high/low. Combine with trend filter (MA Crossover EA) or session filter.
Theory: Stochastic Indicator guide.
Stochastic Parameters in Strategy Builder
| Parameter | Range | Default |
|---|---|---|
| K Length | 1 – 100 | 14 |
| D Length | 1 – 50 | 3 |
| Smoothing | 1 – 20 | 3 |
| Smoothing Length | 1 – 20 | 3 |
| Offset | -50 – 50 | 0 |
| Overbought | 50 – 100 | 80 |
| Oversold | 0 – 50 | 20 |
| Source | Close, High, Low | Close |
| Timeframe | 1m … 1M (UI list) | 1d |
Align Timeframe parameter with your Step 3 tab (e.g. H1).
Stochastic Condition Types Explained
1. Cross (recommended for this guide)
| Field | Options | Default |
|---|---|---|
| Target | k, d, overbought, oversold, 50 | d |
| Direction | Up · Down | up |
| Value | Number (custom level when needed) | 50 |
Starter recipe: Target d, Direction Up (buy) / Down (sell).
Zone exit variant: Target oversold, Direction Up, Value 20 for buy; Target overbought, Direction Down, Value 80 for sell.
2. Compare
Operator (>, <, >=, <=, ==, !=) + Value (default 50).
Use case: “Only trade when Stochastic > 50” as a trend filter (AND with Cross).
3. Divergence
Divergence Type (bullish/bearish) · Period · Lookback Period · Strength · Timeframe.
4. Breakout
Direction · Threshold · Period · Confirmation · Volume Confirmation (none / above_average / high).
5. Pattern
Pattern Type (double top, head & shoulders, etc.) · Min Height · Min Width · Volume Confirmation.
6. Slope
Direction · Period · Min Slope · Smoothing · Smoothing Length · Source.
7. Test
Period · Threshold · Confirmation.
8. Failure Swing
Direction · Period · Confirmation.
9. Golden Cross / 10. Death Cross
Period · Confirmation — Stochastic-specific cross labels (parallel to MA Golden/Death naming in UI).
Build the Stochastic EA Step by Step
Step 1 — Strategy information
Name: Stochastic K/D H1 EURUSD
Step 2 — Timeframes
Enable H1 for Step 3 tabs.
Step 3 — Signals
- Buy tab → H1 → add Stochastic.
- Parameters: K 14, D 3, Smoothing 3, OB 80, OS 20, Source Close.
- Condition: Cross → Target d, Direction Up.
- Sell tab → same parameters → Cross → Target d, Direction Down.
Optional AND: Compare > 20 on Buy (already left oversold zone).
Step 4 — Filters
Session or spread — Advanced EA MTF & Filters.
Step 5 — Risk
Lot, Stop Loss, optional TP. EA Risk Management.
Step 6 — Save
Export, Compile, and Backtest
- Code Generator → MQL5 →
.mq5. - MetaEditor F7.
- Strategy Tester: Every tick, 6–12 months.
- Demo → Strategy Tester vs Live.
10016: Invalid Stops.
Improvements: Filters and Risk
| Problem | Lever |
|---|---|
| Over-trading in trend | AND with MA trend filter |
| Late entries | Tighter zones (75/25) or Confirmation on Breakout |
| Whipsaw in range | Confirmation 2 on Cross (if exposed) or session filter |
Tactix AI on this workflow
AlfaTactix includes Tactix AI: use Tactix Studio to describe your idea in plain language and draft timeframes, signals, filters, and risk into the same six-step Strategy Builder form — or open Tactix Guide on any step when you only need a field explained. Review every value, then export MQL5 or Pine Script from Code Generator (form-first — not untested prompt-to-code).
Next Steps
- RSI EA — No Code — similar oscillator workflow
- Stochastic + MA Confluence EA — add SMA Golden Cross with AND
- MACD + RSI Confluence
- Build EA Without Coding
- Production-Ready MQL5 Without MetaEditor
Whipsaw test: Backtest Stochastic-only for three months, then add your planned session filter in the live demo and compare trade count — if trades drop by half and drawdown improves, keep the filter; if trades vanish, tune OB/OS before giving up on the indicator.
References: MQL5 iStochastic [2] · MetaTrader 5 Strategy Tester [3].