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Tick Data Exporter

30 USD

Published: 5 May 2026

Current version: 1.20

Tick Data Exporter

Utilities
Kenneth Weleh
Version: 1.20
Activations: 10

The primary function of this script, Tick Data Exporter, is to efficiently extract historical tick data.

Tick data represents the most granular level of market data, capturing every single price change.

The script downloads this data from a broker and formats it into CSV files for external quantitative analysis.

Five things tick data shows that bars permanently hide:

Spread microstructure: Bars give you one spread number per period (typically the spread at bar close). Ticks show you the spread literally tick-by-tick. The widening seconds before high-impact news is invisible in bars; in ticks it's a billboard. Same for the "spread blink" some brokers do at session opens — they widen for 200ms and tighten back. Bar data smears it out.
Quote frequency as a volatility proxy: When a market is "thinking," ticks come in slowly — maybe 1 to 2 per second. When it's reactive, you get 30 to 50 per second. Tick density itself, separate from price movement, is a real signal. Some professional traders watch quote frequency more than they watch price. A sudden burst of ticks without much price change can precede a directional move by tens of seconds.
Bid/ask asymmetry: In tick exports you see flag patterns like a BID-only update followed milliseconds later by an ASK-only update. That pattern reveals which side of the market is leading. Sustained bid-leading versus ask-leading often precedes directional moves by several seconds. Bar data has no concept of this — bars only show you the resulting price, not the order in which the bids and asks moved.
True touch quality: When you ask "did price touch this level?" using bar data, you check bar high or bar low. Tick data tells you not just whether, but how many times, for how long, and at what spread. Three completely different texture-of-touch readings for the same level.
Sub-bar reversal mapping: A bar that opens at the low and closes at the high (a strong bull bar) tells you nothing about the *path*. Did price spike to the high in the first 30 seconds and chop sideways? Did it grind up steadily? Did it spike, retrace 90%, then break out? These three patterns produce nearly identical bars and very different next-bar behavior. Tick data reconstructs the path.

When NOT to use tick data:

Tick data has costs that bar data doesn't: file size, fetch time, and analytical complexity. The tool isn't right for every question. Use bar data instead when:

You're studying multi-day or multi-week trends. Bar data on the right TF is plenty.
You only care about open/high/low/close values. Bars deliver these directly; ticks would require aggregation.
You're correlating multiple symbols. The OHLC exporter's wide format is far better for this. Tick timestamps don't align across symbols.
You're working in Excel without much patience.

Settings:

=== Range ===

Start datetime: First moment to fetch ticks for, in server (broker) time. Inclusive.
End datetime: Last moment to fetch ticks for, in server (broker) time. Exclusive of the very last second by convention. Must be after Start datetime. Always specify a date range.

=== File ===

Auto-name file from Symbol + dates?: When true, output filenames are derived from symbol, date(s), and split granularity (e.g. EURUSD_TICKS_2026-05-04_13h.csv). When false, uses File name (used when Auto-name OFF and Split OFF), with date/hour suffixes appended for split-mode exports to avoid collisions.
File name (used when Auto-name OFF and Split OFF): Manual filename (used only when Auto-name file from Symbol + dates? is false). For split exports, the relevant date or date_HHh suffix is inserted before the .csv extension automatically.
Split output into one file per: hour / 4h / day / week / off: How to slice the export into separate files. Off = single file for whole range. 1H/4H = one file per hour or 4-hour window (good for news-window analysis). 1D = one per day (default, balanced). 1W = one file per week (long-range exports). Boundaries align to natural clock units.
Metadata block placement: OFF, TOP, or BOTTOM. Top is default; choose BOTTOM if you plan to use Excel's freeze-top-row feature on the data.
Write 'sep=;' first line so Excel auto-detects delimiter (locale-safe)?: When true, writes 'sep=;' as the very first line of the file. Excel reads this hint and automatically uses semicolon as the delimiter for that file regardless of the OS regional setting. Recommended on European locales (Danish, German, French) where Excel's default delimiter is comma.

=== Time ===

Time zone for timestamps: Time zone for the Date and Time columns. Server = broker's time zone. UTC = GMT/no offset (best for cross-system data analysis). Local PC = your machine's time zone.
Include milliseconds in time column (HH:MM:SS.fff)?: When true, the Time column shows HH:MM:SS.fff with millisecond precision. Important for high-frequency tick data where multiple ticks per second are common. Adds a few characters per row but doesn't significantly increase file size. Recommended ON for serious analysis.

=== Tick Filter ===

Which tick types to export: Which tick types to export. ALL = everything the broker sent. BIDASK = only ticks that updated bid or ask (skips pure-volume ticks; reduces file size slightly). TRADES = only ticks marking actual trades (TICK_FLAG_LAST). Trades-only is rare-to-empty for retail forex but populated for indices, stocks, and centrally-cleared instruments.

=== Columns ===

Each column is independently toggleable. Disabling unused columns shrinks file size, sometimes meaningfully. For example, disabling Volume and Last on retail forex saves about 5% per row.

Include Date column?: Include the Date column (ISO YYYY-MM-DD). Disable only if all your ticks are in one day and you don't need the date.
Include Time column?: Include the Time column. Format depends on "Include milliseconds in time column (HH:MM:SS.fff)?".
Include Bid column?: Include the bid price at the time of the tick.
Include Ask column?: Include the ask price at the time of the tick.
Include Spread column (computed as ask - bid)?: Include the spread (computed as ask - bid, rounded to symbol digits). Recommended ON; spread microstructure is one of the main reasons to use tick data.
Include Last column (trade price; usually empty for retail forex)?: Include the last trade price. Empty for most retail forex (no actual trades reported); useful for indices/stocks. Default off because it's mostly empty.
Include Volume column?: Include trade volume. Same caveat as Last — mostly zero for retail forex. Default off.
Include Flags column (pipe-separated, e.g. "BID|ASK")?: Include the decoded tick flags column showing what changed in this tick (e.g. BID, ASK, BID|ASK, BID|ASK|LAST, BUY, SELL). Pipe-separated. Default off because most analyses don't need it; turn on for advanced microstructure work.

=== Performance ===

Chunk duration per fetch (RAM vs API calls): Time window per API call. Smaller chunks use less RAM during fetch but require more API calls. Larger chunks use more RAM but finish faster. 1D is the right default for most retail forex use; bump to 1W if you have a beefy machine and large exports, drop to 4H or 1H if you're hitting memory issues.
Log progress every N chunks (0 = silent): Log a progress line every N chunks. Set to 0 to silence intermediate progress (only the final 'mission accomplished' line will appear). Set to 5 or 10 to reduce spam on long exports.

Note that Chunk duration per fetch (RAM vs API calls) and Split output into one file per: hour / 4h / day / week / off are independent settings. Chunk size affects how the script *fetches* data internally; split granularity affects how the *output is sliced into files*. They can be set differently — for example, fetching in 1D chunks (efficient) but writing into 1H files (granular for analysis).

=== .CSV File Column reference ===

Date: ISO YYYY-MM-DD Date of the tick in the chosen time zone. ISO format ensures unambiguous interpretation regardless of locale.
Time: HH:MM:SS or HH:MM:SS.fff Time of the tick in the chosen time zone. Format depends on Include milliseconds in time column (HH:MM:SS.fff)?.
Bid: Bid price at the time of this tick, formatted to the symbol's digit count.
Ask: Ask price at the time of this tick.
Spread: Computed as ask - bid, rounded to the symbol's digit count. This is the actual spread at this tick, not a bar-aggregated value.
Last: Last trade price. Empty (or 0) when the broker didn't report a trade with this tick.
Volume: Trade volume. Empty for most retail forex.
Flags: Pipe-separated tokens Decoded tick flags. Tokens: BID (bid changed), ASK (ask changed), LAST (trade), VOL (volume update), BUY/SELL (trade direction). A single tick can have multiple flags, e.g. BID|ASK|LAST.

=== Important note about dates and Excel ===

Dates in the file are written in ISO YYYY-MM-DD format. Most tools (pandas, Python, R, plain text editors) read them exactly as written. Excel does not.

When you open a tick file in Excel, the Date column will be displayed in your locale's date format (DD-MM-YYYY in most of Europe, MM/DD/YYYY in the US). Excel auto-parses the ISO dates and re-displays them. If you save the file from Excel, Excel will also rewrite the dates to its locale format inside the file itself, mutating your original ISO data.

This is documented in the file's metadata block as a reminder. Two strategies to handle it:

• Treat Excel as a viewer only, never save changes. Open, inspect, close without saving.

• Read the file in pandas or Python instead of Excel. The ISO format works perfectly there.

If you specifically need Excel to leave dates alone, format the Date column as Text via the Data > From Text/CSV import wizard.

=== Tips & Examples ===

Choosing the right split granularity. The Split output into one file per: hour / 4h / day / week / off setting profoundly affects how the data is structured for analysis. Choosing the right value is about matching file granularity to your analysis question.

SPLIT OFF Single file When you want one continuous tick stream for an entire range and intend to use pandas or Python to filter. Avoid for ranges over 1 day — files get too large to navigate.
SPLIT 1H Hourly files Best for news-window analysis. FOMC, NFP, CPI: export the 4-6 hours around the event with SPLIT_1H, and you have one file per hour ready for separate analysis. Each hour-file is small enough to open in Excel.
SPLIT 4H Session-aligned files Best for session-based analysis. Files align to 00/04/08/12/16/20 boundaries which roughly correspond to Asian/early-European/London/lunch/NY/NY-late session windows. A week's worth is 42 files but each one is tractable.
SPLIT 1D Daily files (default) The general-purpose default. One day per file is a natural unit, files are 5-15 MB on retail forex, and pandas reads them quickly.
SPLIT 1W Weekly files Long-range exports where weekly granularity is enough. A month-long export becomes 4-5 files instead of 30.

Example 1: Studying the FOMC announcement

FOMC rate decisions land at 19:00 server time on a specific Wednesday. You want to study what the spread, tick density, and price action looked like in the 2 hours leading up and 2 hours following the announcement.

Settings:

Start datetime = D'2026.05.07 17:00:00' // 2 hours before FOMC
End datetime = D'2026.05.07 21:00:00' // 2 hours after
Auto-name file from Symbol + dates? = true
Split output into one file per: hour / 4h / day / week / off = SPLIT_1H // hourly files for granular analysis
Time zone for timestamps = EXPORT_TIME_SERVER
Include milliseconds in time column (HH:MM:SS.fff)? = true // sub-second sequence matters around news
Which tick types to export = TICK_ALL
Include Flags column (pipe-separated, e.g. "BID|ASK")? = true // helps see bid-leading vs ask-leading patterns
Chunk duration per fetch (RAM vs API calls) = CHUNK_1D // single fetch fine for 4 hours

Results: four files named EURUSD_TICKS_2026-05-07_17h.csv through _20h.csv. Each file is small (1-5 MB even with the 19h announcement file probably being the largest). You can open the announcement-hour file in Excel directly to inspect, or load all four in pandas to analyze tick density vs. price change.

What to look for: spread typically widens 30-60 seconds before the announcement (broker preparing for volatility), spikes to 5-10x normal at the moment of release, then tightens back over the next 5-15 minutes. Tick density goes from 1-2 per second pre-news to 50-100 per second in the first 30 seconds post-release.

Example 2: Comparing session-open behavior across a week

You want to see whether the spread blink at the London 08:00 open behaves consistently across all five trading days of a week.

Settings:

Start datetime = D'2026.05.04 07:30:00' // Monday, 30 min before London
End datetime = D'2026.05.08 09:00:00' // Friday, 1 hour after
Auto-name file from Symbol + dates? = true
Split output into one file per: hour / 4h / day / week / off = SPLIT_1D // one file per trading day
Time zone for timestamps = EXPORT_TIME_UTC // UTC since session times are commonly stated in UTC
Include milliseconds in time column (HH:MM:SS.fff)? = true
Which tick types to export = TICK_ALL
Chunk duration per fetch (RAM vs API calls) = CHUNK_1D

Results: five files, one per day. In each file, filter to roughly 06:30-08:00 UTC (London 07:00-09:00 wall clock). Compare spread evolution across the five days side by side.

What to look for: Mondays often have wider opens than midweek (weekend gap effects). Fridays often have tighter post-open spread (book is winding down).

Example 3: Detecting unusual tick density

You want to flag minutes where tick density was unusually high, as a signal that something interesting may have happened.

Settings:

Start datetime = D'2026.05.04 00:00:00'
End datetime = D'2026.05.04 23:59:59' // single full day
Auto-name file from Symbol + dates? = true
Split output into one file per: hour / 4h / day / week / off = SPLIT_OFF // single file for the whole day
Time zone for timestamps = EXPORT_TIME_SERVER
Include milliseconds in time column (HH:MM:SS.fff)? = true
Which tick types to export = TICK_BIDASK // exclude pure-volume noise
Include Flags column (pipe-separated, e.g. "BID|ASK")? = false // not needed for density analysis
Chunk duration per fetch (RAM vs API calls) = CHUNK_1D

Results: one file containing the full day. In pandas, group by minute and count rows. Sort descending by count. The top 10 minutes are your high-density periods. Cross-reference timestamps against your economic calendar.

This is a powerful diagnostic technique: tick density highs often precede price moves by tens of seconds, and they correlate with events that don't always make the calendar (large institutional orders, broker-side liquidity shifts, sympathetic moves from correlated markets).

Example 4: Spread cost analysis for a Backtest

You're running a Backtest at a tight stop-loss (5-8 pips) and worried that the bar-aggregated spread reading is hiding intra-bar widening that would have stopped you out. You want the actual spread at every tick during the period.

Settings:

Start datetime = D'2026.04.01 00:00:00'
End datetime = D'2026.04.30 23:59:59'
Auto-name file from Symbol + dates? = true
Split output into one file per: hour / 4h / day / week / off = SPLIT_1D // one file per day, manageable chunks
Time zone for timestamps = EXPORT_TIME_SERVER
Include milliseconds in time column (HH:MM:SS.fff)? = false // for cost analysis, second precision is fine
Which tick types to export = TICK_BIDASK
Include Bid column? = false // you only need spread, not price
Include Ask column? = false
Include Spread column (computed as ask - bid)? = true
Include Flags column (pipe-separated, e.g. "BID|ASK")? = false
Chunk duration per fetch (RAM vs API calls) = CHUNK_1D

Results: 30 daily files, each containing only Date, Time, and Spread columns. Total volume ~50-150 MB for the month. In pandas, you can compute the empirical spread distribution: mean, p95, p99, max. Compare to the constant spread your Backtest assumed. Adjust your stop loss accordingly, or accept that some trades that worked in Backtest would have been stopped on actual spread spikes.

Example 5: Reconstructing a flash event

Something unusual happened on a chart at 14:32 — a sudden 15-pip spike followed by an immediate retrace. Bar data shows the move but not the path. You want millisecond-level detail of what actually happened.

Settings:

Start datetime = D'2026.05.04 14:30:00' // 2 minutes before
End datetime = D'2026.05.04 14:35:00' // 3 minutes after
Auto-name file from Symbol + dates? = true
Split output into one file per: hour / 4h / day / week / off = SPLIT_OFF // 5 minutes is one tiny file
Time zone for timestamps = EXPORT_TIME_SERVER
Include milliseconds in time column (HH:MM:SS.fff)? = true // critical for reconstructing path
Which tick types to export = TICK_ALL
Include Flags column (pipe-separated, e.g. "BID|ASK")? = true // see bid vs ask leading
Chunk duration per fetch (RAM vs API calls) = CHUNK_1H

Results: one small file with potentially 5,000-15,000 ticks depending on event severity. Open in Excel directly. Plot bid and ask over time. The exact sequence of the spike — how many ticks at the spike high, the spread when it spiked, whether bid moved first or ask moved first — tells you whether this was a stop-hunt, a fat-finger order, a news leak, or genuine liquidity event.

This kind of post-mortem is the single best use case for tick data. Bar data shows the wound; tick data shows how it was inflicted.

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Farmed Hedge Yield Farming | All Markets (Manual - Hybrid - Semi/Automated EA) MULTI-ASSET SUPPORT Trade any asset available on your broker - Forex: Major, Minor, Exotic pairs - Crypto: BTC, ETH, XRP, SOL, BNB - Stocks: Apple, Tesla, Amazon, Google, etc. - Commodities: Gold, Silver, Oil, Gas - Indices: US30, NAS100, SPX500, DAX40 - Any CFD your broker offers VERIFIED TRADING RESULTS - Farmed Hedge Yield Axi Copy: https://www.mql5.com/en/signals/2356376 - Farmed Hedge Yield Exn Copy: https:/

459 USD

Trade Panel is a multi-functional trading assistant. The app contains over 50 trading functions for manual trading and allows you to automate most trading tasks. Before making a purchase, you can test the demo version on a demo account. Download the trial version of the application for a demonstration account: https://www.mql5.com/en/blogs/post/750865 . Full instructions here . Trade. Allows you to perform trading operations in one click: Open pending orders and positions with automatic risk cal

100 USD

Beta Release The Telegram to MT5 Signal Trader is nearly at the official alpha release. Some features are still under development and you may encounter minor bugs. If you experience issues, please report them, your feedback helps improve the software for everyone. Telegram to MT5 Signal Trader is a powerful tool that automatically copies trading signals from Telegram channels or groups directly to your MetaTrader 5 account. It supports both public and private Telegram channels, and you can conn

99 USD

Power Candles Strategy Scanner - Self-Optimizing Multi-Symbol Setup Finder Power Candles Strategy Scanner runs the same self-optimizing engine that powers the Power Candles indicator - on every symbol in your Market Watch, side by side. One panel tells you which symbols are statistically tradable right now, which strategy wins on each, the optimal Stop Loss / Take Profit pair, and pings you the moment a fresh signal fires. This tool is part of the Stein Investments ecosystem - 18+ tools plus Max

139 USD

Trade Dashboard simplifies how you open, manage, and control your trades, with built-in lot size calculation. It allows you to execute trades, manage risk, and control positions directly on the chart, with tools such as partial close, breakeven, and trailing stop. Designed to reduce manual work and help you stay focused on your trading decisions. A demo version is available for testing. Detailed explanations of features are provided within the MQL5 platform. Installation instructions are include

50 USD

Professional Trade Copier for MetaTrader 5 Fast, professional, and reliable trade copier for MetaTrader . COPYLOT allows you to copy Forex trades between MT4 and MT5 terminals with support for Hedge and Netting accounts. COPYLOT MT5 version supports: - MT5 Hedge to MT5 Hedge - MT5 Hedge to MT5 Netting - MT5 Netting to MT5 Hedge - MT5 Netting to MT5 Netting - MT4 to MT5 Hedge - MT4 to MT5 Netting MT4 version Full Description +DEMO +PDF How To Buy How To Install How to get Log Files H

75 USD

Trade Copier is a professional utility designed to copy and synchronize trades between trading accounts. Copying occurs from the account / terminal of the supplier to the account / terminal of the recipient, which are installed on the same computer or VPS . PROMOTION - If you have already purchased the "Trade Copier MT5," you can receive the "Trade Copier MT4" for free (for copying MT4 > MT5 and MT4 < MT5). For more detailed information about the conditions, please contact us via private message

40 USD

Timeless Charts is an advanced charting solution designed for professional traders seeking for custom charts / custom timeframes , including seconds charts / seconds timeframe, renko charts / renko bars, cluster charts / footprint charts and advanced tools present in most of the popular platforms. Unlike traditional offline charts or simplistic custom indicators, this solution constructs fully custom bars with true timestamp accuracy , down to miliseconds, allowing for a powerful and precise tr

90 USD

Footprint Chart Pro — Professional OrderFlow EA for MetaTrader 5 Version 6.34 | Professional tool for real traders | Institutional-Grade Visualization DEMO USERS - PLEASE SELECT EVERY TICK / REAL TICK WHEN TESTING AND YOU HAVE DOWNLOADED HISTORICAL DATA. IF YOU SEE A WAITING SCREEN AND IT IS NOT DOWNLOADING, IT MEANS YOU HAVE LOW HISTORICAL DATA. TRY 1 MIN AND 5 MIN FIRST ON 1 DAY DATA. ONE DAY DATA SHOULD BE THE NEWEST AND MOST CURRENT DATE. PLEASE WAIT UNTIL THE MARKET HAS ROLLED OVER PERIOD.

149 USD

Before you buy an EA, check whether it really holds up or just got lucky in a backtest. Most robots are sold with a beautiful backtest. Rising equity curve. Good profit factor. Very few doubts. And yet, many of those EAs fall apart as soon as the market stops moving the way it did in that historical run. Why? Because a backtest only proves one thing: that the strategy worked on one specific price path. It does not prove it will hold up under different paths. It does not prove it is robust. And i

111 USD

MT5 to Telegram Signal Provider turns your trading account into a signal provider. Every trade action, whether manual, by EA or from your phone, is instantly sent as a message to Telegram. You can fully customize the format or use a ready-made template for quick setup. [ Demo ] [ Manual ] [ MT4 Version ] [ Discord Version ] New: [ Telegram To MT5 ] Setup A step by step user guide is available. Key Features Ability to customize order details sent to subscribers You can create a tiered subs

80 USD

Copy Cat More Trade Copier MT5 is a local trade copier and a complete risk management and execution framework designed for today’s trading challenges. From prop firm challenges to personal portfolio management, it adapts to every situation with a blend of robust execution, capital protection, flexible configuration, and advanced trade handling. The copier works in both Master (sender) and Slave (receiver) modes, with real-time synchronization of market and pending orders, trade modifications, pa

80 USD

HINN MAGIC ENTRY – the ultimate tool for entry and position management! Place orders by selecting a level directly on the chart! full description :: demo-version :: 60-sec-video-description Key features: - Market, limit, and pending orders - Automatic lot size calculation - Automatic spread and commission accounting - Unlimited partitial take-profits - Breakeven and trailing stop-loss and take-profit functions - Invalidation leves - Intuitive, adaptive, and customizable interface - Works

50 USD

Seconds Chart is a unique tool for creating second-based charts in MetaTrader 5 . With Seconds Chart , you can construct charts with timeframes set in seconds, providing unparalleled flexibility and precision in analysis that is unavailable with standard minute or hourly charts. For example, the S15 timeframe indicates a chart with candles lasting 15 seconds. You can use any indicators and Expert Advisors that support custom symbols. Working with them is just as convenient as on standard charts.

50 USD

ABQ Visual Risk Sizer - Institutional Risk & Trade Execution Category: Utilities / Risk Management Manual lot calculation costs time and money. In modern trading, especially when operating with funded accounts (Prop Firms), a lot sizing error or a 5-second delay in entering an order can mean violating the Daily Drawdown rule or missing the perfect entry price. ABQ Visual Risk Sizer is an institutional-grade tool designed to solve this problem permanently. It transforms complex mathematical risk

1 000 USD

Custom Alerts AIO: All-in-One Market Scanner – No Setup Required Overview Custom Alerts AIO is the fastest and easiest way to monitor multiple markets for real-time trading signals—without any setup or extra licenses. It comes with all required Stein Investments indicators already embedded, making it the perfect plug-and-play solution for traders who value simplicity and performance. Just load it to any chart and start receiving alerts across Forex, Metals, Crypto, and Indices. Shares can be a

160 USD

Cerberus the Equity Watcher is a risk management tool that constantly monitors your account equity and avoid major drawdowns, caused by faulty EAs or by your emotional behaviour if you are a discretional trader. It is extremely useful for systematic traders that rely on EAs that might contain bugs, or that might not performed well in unexpected market conditions. Cerberus let you set a minimum equity value and (optionally) a maximum value , if either of those are reached all positioned are f

50 USD

Copy trade signals from Telegram channels you already belong to (including private and restricted channels) directly into MetaTrader 5. Set your risk rules once, monitor execution, and manage positions with built-in protections designed to reduce mistakes and overtrading. Fast setup : configure your channels, select what to copy, and start within minutes using a clean on-chart interface. User Guide + Demo | MT4 Version | Discord Version Who this is for Traders who follow one or more signal provi

120 USD

Trading Panel for MetaTrader 5 — professional one-click trading from chart and keyboard A powerful trading panel for active manual trading, designed to open, manage, and close trades far faster and more efficiently than the standard MetaTrader interface. This panel is built for traders who want full control over positions, pending orders, profit management, and trading execution inside one professional workspace. This is not just another utility. It is a complete trading cockpit for MetaTrader

75 USD

The core idea: using the user interface, you configure the parameters the chart must meet before entering a position (or positions), choose which entry models to use, and set the rules for when trading and planning should end. Lazy Trader handles the rest: it takes over all the routine chart watching and execution! full description :: 3 key videos [1] -> [2] -> [3] What can it do? - Understands Larry Williams market structure - Understands swing market structure by Michael Huddleston

690 USD

Poc Breakout Signal: The Ultimate Institutional Order Flow & Price Action System Elevate your trading with Poc Breakout, a comprehensive technical analysis tool designed to bridge the gap between retail trading and institutional market understanding. This all-in-one system combines powerful Buy/Sell signals, advanced Volume Profile analysis, real-time Order Flow (Depth of Market), and critical macroeconomic data to give you a clear, unambiguous edge in the markets. Poc Breakout Signal decodes c

69.99 USD

This is exactly what the name says. Visual strategy builder . One of a kind. Turn your trading strategies and ideas into Expert Advisors without writing single line of code. Generate mql source code files with a few clicks and get your fully functional Expert Advisors, which are ready for live execution, strategy tester and cloud optimization. There are very few options for those who have no programming skills and can not create their trading solutions in the MQL language. Now, with Bots Builde

149 USD

The product will copy all telegram signal to MT5 ( which you are member) , also it can work as remote copier. Easy to set up, copy order instant, can work with almost signal formats, image signal, s upport to translate other language to English Work with all type of channel or group, even channel have "Restrict Saving Content", work with multi channel, multi MT5 Work as remote copier: with signal have ticket number, it will copy exactly via ticket number. Support to backtest signal. How to s

199 USD

FUTURES ORDERFLOW FOOTPRINT CHART Professional OrderFlow EA for MetaTrader 5 Version 1.01| Professional tool for real traders | Institutional-Grade Visualization STRATEGY TESTER USERS - PLEASE SELECT EVERY REAL TICK WHEN TESTING AND YOU HAVE DOWNLOADED HISTORICAL DATA. IF YOU SEE A WAITING SCREEN AND IT IS NOT DOWNLOADING, IT MEANS YOU HAVE LOW HISTORICAL DATA. TRY 1 MIN AND 5 MIN FIRST ON 1 DAY DATA. ONE DAY DATA SHOULD BE THE NEWEST AND MOST CURRENT DATE. PLEASE WAIT UNTIL THE MARKET HAS ROL

179 USD

Effortlessly manage multiple trading accounts The Local Trade Copier EA is a solution for individual traders or account managers who need to execute trade signals from external sources or who need to manage several accounts at the same time, without the need for a MAM or a PAMM account. It copies from up to 8 master accounts to unlimited slave accounts . [ Installation Guide | Update Guide | Troubleshooting | FAQ | All Products ] 100% self hosted Easy to install and use It can copy from MT4 t

99 USD

Ultimate Extractor - Professional Trading Analytics for MT5 *****this is the local HTML version of Ultimate Extractor. !!!!!it is not compatible with Cloud!!!! For the online version please reach out to me directly****** Ultimate Extractor transforms your MetaTrader 5 trading history into actionable insights with comprehensive analytics, interactive charts, and real-time performance tracking. What It Does Automatically analyzes your MT5 trading history across all Expert Advisors and generates

125 USD

" Trader Evolution " - A utility designed for traders who use wave and technical analysis in their work. One tab of the utility is capable of money management and opening orders, and the other can help in making Elliott wave and technical analysis. Manual (Be sure to read before purchasing) | Version for MT4 Advantages 1. Trading in a few clicks. Immediate and pending orders are available in the panel 2. Money management. The program automatically selects the appropriate lot size 3. Simplifies

80 USD

30 USD

Trend Matrix Panel is a multi-timeframe technical indicator for MetaTrader 5 that compresses an entire trading session's structural picture into a single panel. Rather than flipping between charts to read M1, M15, H1, and D1 separately, the panel shows the trend state of three configurable moving averages across twelve timeframes simultaneously, with a heatmap that draws your eye to the genuinely strong signals and away from noise. The core idea is simple: every cell in the matrix tells you how

200 USD

This script is an Intelligence Gathering Utility designed to give you full control over your data exports from MetaTrader 5. It allows you to synchronize up to three different symbols into a single file with precise timestamping. 1. Setting the Data Range (Range) You can define exactly which historical period you want to capture: Date Mode : If Last N bars (0 = use date range above) is set to 0 , the script will export all data between your chosen start and end dates. Bar Mode : By entering a nu

30 USD

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