MT5 Multi-Timeframe Candlestick Pattern Scanner & Backtester

A comprehensive tool to scan M5, M15, H1, H4, D1 charts for classical candlestick patterns, backtest their performance with realistic entry/exit simulation, and run a live scanner that scores and alerts when a new pattern appears.

Features

• 20+ patterns: Doji, Hammer, Shooting Star, Engulfing, Morning/Evening Star, Three White Soldiers, Three Black Crows, Marubozu, Harami, Tweezers, Rising/Falling Three Methods, Inverted Hammer, and more
• Multi-timeframe backtesting — backtest all 5 timeframes in a single run with per-TF statistics
• Pattern tier system — patterns auto-classified as A:ELITE, B:TRADEABLE, C:MARGINAL, or D:AVOID based on historical win rate
• Session quality classification — sessions ranked as PRIME, FAVORABLE, NEUTRAL, or UNFAVORABLE
• Signal scoring (0-100) — each live signal scored using pattern tier, session quality, cross-stat edge, and historical win rate
• Historical edge dashboard — displayed at scanner startup showing top setups, pattern x session combos, Tier D avoid list, and recommended live setups
• Per-timeframe WR columns — pattern table shows win rate broken down by M5/M15/H1/H4/D1 so you can see which TF each pattern performs best on
• Stop Loss / Take Profit based on ATR (configurable multiplier, R:R ratio)
• Higher-timeframe ATR for fast timeframes (M5/M15 automatically use H1 ATR for realistic SL/TP)
• Entry verification (stop orders only filled if price touches entry on the next candle)
• Forward evaluation with intra-candle path simulation — avoids look-ahead bias
• R-level tracking (up to R5) and hit-rate analysis
• Volume confirmation (optional)
• D1 trend filter (enabled by default) — requires the daily SMA 20 trend to align with the pattern direction
• Deduplication — picks the highest-priority pattern per candle
• Session classification (Asia, Pacific, London Open, London Morning, London/NY Overlap, NY Afternoon)
• Full backtests over date ranges — CSV reports, summary tables, JSON stats cache, and text reports
• Live scanner — monitors all active timeframes and prints formatted alerts when a new candle closes
• Sound alerts (Windows only) — high-Hz triple beep for STRONG BUY, low-Hz triple beep for STRONG SELL; starts muted, type m + Enter to toggle
• Position sizing (risk-based, standard lots) displayed in alerts
• Auto-reconnect with exponential backoff if MT5 connection drops

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Installation

1. Install MetaTrader 5

2. Install Python dependencies:

   pip install MetaTrader5 pandas numpy colorama python-dotenv

3. Copy mt5_multitf_pattern_scanner.py into your project folder.

4. Create a .env file in the same directory as the script:

   MT5_PATH=C:\Program Files\Broker\terminal64.exe MT5_ACCOUNT=12345678 MT5_PASSWORD=YourPassword MT5_SERVER=YourBrokerServer1

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Quick Start

Step 1 — Run the Backtest

The backtest generates the probability data that powers the live scanner's pattern tiers, signal scores, and historical edge display. Always run the backtest first.

python mt5_multitf_pattern_scanner.py --mode fullbacktest --from 2025-01-01 --to 2026-05-14

This scans all 5 timeframes (M5, M15, H1, H4, D1) over the date range and saves:

• Per-TF CSV files (detections, pattern summary, session summary) in ./backtest_results/
• latest_stats_multitf.json — the stats cache the live scanner loads at startup

With D1 trend filter enabled (default), only signals that aligned with the daily trend are counted. This gives the most accurate stats for live trading.

Step 2 — Run the Live Scanner

python mt5_multitf_pattern_scanner.py --mode live

The scanner starts, loads the backtest stats, and displays the Historical Setups Dashboard:

• Overall and per-timeframe win rates
• Pattern tiers with per-TF WR columns (M5 | M15 | H1 | H4 | D1)
• Session quality rankings
• Top pattern x session combos
• Tier D patterns to avoid
• Recommended live setups with signal scores

Then it monitors all timeframes and alerts on every new candle close when a pattern is detected, showing:

• Pattern name, tier, direction, session, D1 trend alignment
• Entry, SL, TP with pip distances and R:R ratio
• Prob(TP) percentage based on historical SL/TP hit rates
• Historical edge breakdown (pattern WR, session WR, cross-stat WR, signal score)
• Risk-based position sizing

Sound alerts start muted by default. Type m + Enter in the terminal to unmute and hear audio alerts for strong signals. See Sound Alerts for details.

Press Ctrl+C to stop.

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Usage

Full Backtest (date-ranged)

Runs a complete backtest across all active timeframes over a specified date range. This is the primary way to generate stats for the live scanner.

All timeframes, Jan 2025 to May 2026

python mt5_multitf_pattern_scanner.py --mode fullbacktest --from 2025-01-01 --to 2026-05-14

Specific timeframes only

python mt5_multitf_pattern_scanner.py --mode fullbacktest --timeframes H4 D1 --from 2025-01-01 --to 2026-05-14

With D1 trend filter ON (default) and volume filter

python mt5_multitf_pattern_scanner.py --mode fullbacktest --from 2025-01-01 --to 2026-05-14 --d1-trend-filter --volume-filter

Without D1 trend filter

python mt5_multitf_pattern_scanner.py --mode fullbacktest --from 2025-01-01 --to 2026-05-14 --no-d1-trend-filter

Output: ./backtest_results/ (change with --output)

Quick Backtest (last N bars)

Fast snapshot on the most recent N candles (default 500) for a single timeframe.

python mt5_multitf_pattern_scanner.py --mode backtest --bars 500

Live Scanner

All timeframes (default)

python mt5_multitf_pattern_scanner.py --mode live

Specific timeframes

python mt5_multitf_pattern_scanner.py --mode live --timeframes H1 H4 D1

Without D1 trend filter (must match how backtest was run)

python mt5_multitf_pattern_scanner.py --mode live --no-d1-trend-filter

One-Shot Scan

Scan the latest closed candle on all active timeframes and exit.

python mt5_multitf_pattern_scanner.py --mode scan

Test Sound Alerts

Play both the STRONG BUY and STRONG SELL test beeps to verify audio is working, then exit.

python mt5_multitf_pattern_scanner.py --test-sound

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Sound Alerts

The scanner includes Windows-only sound alerts so you don't have to stare at the screen waiting for strong signals.

How it works

• STRONG BUY (Bullish signal with score >= 65) — triple high-Hz beep (1200 Hz by default)
• STRONG SELL (Bearish signal with score >= 65) — triple low-Hz beep (400 Hz by default)
• The scanner starts muted — you must explicitly unmute to hear alerts
• Type m + Enter in the terminal to toggle mute/unmute at any time
• The keyboard listener runs in a background thread, so there is no delay — it responds instantly

Startup message

When the live scanner starts with sound enabled, you will see:

Sound Alerts: ENABLED | Buy: 1200Hz | Sell: 400Hz | Threshold: 65 Sound is MUTED — Type "m" + Enter to unmute

Toggling mute

Type m and press Enter at any time while the scanner is running:

Sound UNMUTED | Type 'm' + Enter to toggle Sound MUTED | Type 'm' + Enter to toggle

Testing sound

Before relying on alerts, verify your audio works:

python mt5_multitf_pattern_scanner.py --test-sound

This temporarily unmutes, plays both test beeps, then restores the muted state.

Sound configuration

These settings are in the CFG dict at the top of the script (not exposed as CLI args):

Key	Default	Description
sound_enabled	True	Master switch — set False to disable all sound
sound_buy_hz	1200	Frequency in Hz for STRONG BUY triple beep
sound_sell_hz	400	Frequency in Hz for STRONG SELL triple beep
sound_beep_duration	150	Duration of each individual beep in milliseconds
sound_beep_pause	100	Pause between beeps in milliseconds
sound_strong_threshold	65.0	Signal score must be >= this to trigger a sound alert

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How Backtest Stats Flow Into the Live Scanner

1. Backtest creates per-TF CSV files (*_detections.csv, *_pattern_summary.csv, *_session_summary.csv) and latest_stats_multitf.json
2. Live scanner calls load_latest_backtest_stats() at startup, which:
   • Reads latest_stats_multitf.json for per-TF overall stats
   • Reads ALL per-TF CSVs to compute merged pattern stats, session stats, and cross-stats (pattern x session)
   • Caches results for 4 hours (configurable via stats_cache_hours in .env)
3. Dashboard displays: overall WR, per-TF WR table, pattern tiers with per-TF columns, session quality, top cross-stats, avoid list, recommended setups
4. Each live signal is enriched with: pattern tier badge, quality summary line, Prob(TP), historical edge breakdown, and signal score

Important: The D1 trend filter setting must match between backtest and live mode. If you run the backtest with --d1-trend-filter (default), run live with --mode live (also default). If you run backtest with --no-d1-trend-filter, run live with --no-d1-trend-filter.

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Configuration

Command-Line Arguments

Argument	Description	Default
--symbol	Trading symbol	EURUSD
--timeframes	Active timeframes	M5 M15 H1 H4 D1
--atr	ATR period	14
--sl	Stop loss multiplier (x ATR)	1.5
--tp	Take profit multiplier (x ATR)	1.5
--forward	Forward evaluation candles	Scaled per TF
--d1-trend-filter	Require D1 SMA trend alignment	True
--no-d1-trend-filter	Disable D1 trend filter
--d1-sma-period	D1 trend SMA period	20
--volume-filter	Enable volume confirmation	False
--no-volume-filter	Disable volume filter (default)
--volume-ma-period	Volume MA period	20
--volume-threshold	Volume threshold ratio	1.0
--account-balance	Account size for position sizing	100000
--risk-percent	Risk % of account per trade	1.0
--min-signal-score	Minimum signal score to display (0-100)	0
--alert-only-strong	Only alert on strong signals	False
--test-sound	Play STRONG BUY and STRONG SELL test beeps, then exit
--output	Backtest output directory	./backtest_results

Pattern Thresholds

Argument	Description	Default
--doji-body-ratio	Max body/shadow ratio for Doji	0.1
--spinning-top-body-ratio	Max body ratio for Spinning Top	0.33
--marubozu-wick-ratio	Max wick ratio for Marubozu	0.05
--hammer-lower-wick-ratio	Min lower wick ratio for Hammer	0.6
--hammer-upper-wick-ratio	Max upper wick ratio for Hammer	0.33
--long-candle-ratio	Min body/shadow ratio for long candle	0.6
--small-candle-ratio	Max body/shadow ratio for small candle	0.3
--tweezer-tolerance	Tweezer tolerance in pips	0.5

See --help for the full list of arguments.

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Signal Scoring System

Each live signal is scored 0-100 based on:

Factor	Weight	Description
Pattern win rate	Confidence-weighted	Higher WR patterns score more, with a confidence boost for more signals
Pattern tier	Tier bonus	A:ELITE gets highest bonus, D:AVOID gets penalty
Session quality	Session bonus	PRIME > FAVORABLE > NEUTRAL > UNFAVORABLE
Cross-stat edge	Combo bonus	Pattern x session combos with high WR get a bonus
Avg Max R	Edge factor	Higher average max R-multiple indicates better profit potential

Patterns below --min-signal-score are filtered out (default: 0, i.e. show all).

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Pattern Tiers

Tier	WR Range	Meaning
A: ELITE	>= 57%	Highest edge, trade with confidence
B: TRADEABLE	52-57%	Solid edge, reliable setups
C: MARGINAL	45-52%	Use only with strong confluence
D: AVOID	< 45%	Negative edge, skip these

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Output Files

Backtest Results (./backtest_results/)

File	Description
EURUSD_{TF}_{date}_to_{date}_detections.csv	Every pattern detected with entry, SL, TP, outcome, R-levels
EURUSD_{TF}_{date}_to_{date}_pattern_summary.csv	Per-pattern stats: WR, signals, avg SL, TP hit %, R-level hit rates
EURUSD_{TF}_{date}_to_{date}_session_summary.csv	Per-session stats: WR, signals, avg SL, TP hit %
EURUSD_{TF}_{date}_to_{date}_report.txt	Human-readable text report
latest_stats_multitf.json	Combined per-TF stats cache loaded by the live scanner

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Session Classification

Session	Broker Time (UTC+2/3)	Description
Pacific	00:00 - 07:00	Low liquidity, Sydney/Tokyo overlap
Asia	07:00 - 00:00	Tokyo session
London Open	07:00 - 09:00	High volatility London open
London Morning	09:00 - 12:00	Active London morning
London/NY Overlap	12:00 - 17:00	Highest liquidity window
NY Afternoon	17:00 - 21:00	NY afternoon, declining volume

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Timezone Notes

• Log timestamps ([HH:MM:SS]) use your local computer time
• Candle close times and "Next:" candle times use broker server time
• Session classification uses broker server time hours
• This means candle times will differ from your local clock by your timezone offset