Chiroptera EA MT5 Download — Official | Adaptive Night Scalper Review

Last updated: April 2026

Most night scalpers work the same way. They trade during the Asian session when volatility is low, scalp a few pips on mean-reversion setups, and hope the broker doesn’t widen spreads enough to eat the edge. Some are good. Most are mediocre. Nearly all of them treat every broker identically and every currency pair the same.

Chiroptera does something genuinely different.

It learns. Over the first 60 days, it monitors which currency pairs perform best on your specific broker and dynamically adjusts its position sizing to allocate more capital to the pairs that are working and less to the ones that aren’t. It runs an exponentially time-weighted adaptive algorithm that treats recent performance as more important than older data. After the calibration period, the EA is essentially custom-tuned to your broker’s execution, spreads and liquidity — without you touching a single setting.

That’s not marketing language. The developer, Rob Josephus Maria Janssen, publishes the full input parameter documentation on MQL5 including the adaptive lookback windows, weighting methods and convergence mechanics. You can read exactly how it works before you buy. And he backs it up with something almost no other night scalper developer does: four simultaneous live signals on four different brokers, running for over 24 weeks, with real withdrawals taken and no suspicious deposits added.

This review examines whether Chiroptera’s adaptive intelligence is genuinely worth $799 on MQL5 — or whether it’s engineering theatre on top of a standard night scalper.

Four Brokers, Four Signals, One EA

This is the detail that made us take Chiroptera seriously. Most EA developers run one live signal on one broker. Some run two. Rob runs four simultaneously on four completely different brokers:

The spread between brokers is the story here. The same EA, same settings, same 24-week period — yet VT Markets produces 935% while Global Prime produces 265%. That’s a 3.5x difference in performance between brokers. This is exactly why the adaptive learning algorithm exists. Night scalping is one of the most broker-sensitive strategies in forex, and Chiroptera’s response is to literally learn which pairs work best on your specific broker and adjust accordingly.

Rob has also recently added a fifth signal on FP Markets (#2339733), which is only a couple of weeks old and still in the adaptive calibration period. The transparency of publishing a signal that’s still learning — rather than waiting until it looks impressive — says something about the developer’s approach.

All four mature signals have had real withdrawals taken and no suspicious deposits added. This matters. Some EA developers inflate signal performance by adding deposits that get counted as profits. Rob’s signals are clean.

The Adaptive Learning Algorithm

This is the technical heart of Chiroptera and what separates it from every other night scalper on MQL5.

Most multi-currency EAs trade every pair with the same lot size. If EURUSD and GBPJPY are both enabled, they get the same allocation regardless of how well each pair performs on your broker. Chiroptera takes a fundamentally different approach.

After an initial observation period (default 60 days, configurable via AdaptiveMinimumLookBack), the EA begins adjusting lot sizes for individual pairs based on their historical performance. It uses an exponentially time-weighted algorithm, meaning recent trade results carry more influence than older ones. A pair that performed well three months ago but has degraded recently will see its allocation reduced. A pair that’s been consistently profitable over the last few weeks will see its allocation increased.

The observation window has both a minimum (60 days default) and maximum (365 days default) lookback, preventing the algorithm from either acting too early on insufficient data or holding onto obsolete patterns. You can also generate adaptive weights in backtesting and feed them into a live account to “kickstart” the learning process rather than waiting 60 days.

The practical result: two people running Chiroptera on different brokers will, after the calibration period, effectively be running different versions of the EA — each optimised for their specific broker’s execution characteristics. The four live signals prove this works: same EA, dramatically different results per broker, all profitable over 24 weeks.

How Chiroptera Trades

Chiroptera operates during the quiet hours of the night — roughly 2–3 hours per day when the major financial centres are closed and volatility is at its lowest. Outside this window, your capital sits with the broker doing nothing. No overnight risk from London or New York sessions. No exposure to NFP, FOMC, or any other daytime news event.

Trade execution: The EA places limit orders rather than market orders. This is a deliberate design choice to prevent slippage and execution delays — critical for a strategy where the edge is measured in pips, not points. It also modulates the broker’s price feed to ensure optimal limit order placement regardless of the broker’s spread characteristics.

Position management: Single trades only. One trade per symbol at a time. No grid. No martingale. No averaging. No recovery positions. Each trade gets a stop loss and take profit that are continuously adjusted during the trade to maximise gains and minimise losses. This is not “set and forget” SL/TP — the levels adapt in real time.

Currency pairs: Chiroptera can trade up to 20 forex pairs from a single chart (one-chart setup). The default “AllPairs” list includes EURUSD, GBPUSD, AUDCAD, EURAUD, EURCAD, GBPAUD, GBPCAD, EURCHF, GBPCHF, USDJPY, EURJPY, USDCAD, EURGBP, USDCHF, CADCHF, CHFJPY, AUDJPY, AUDCHF, AUDUSD and GBPJPY. There’s also a “BestPairs” subset (CHFJPY, EURJPY, GBPAUD, GBPJPY, EURAUD) for maximum profit factor rather than maximum total profit.

Safety filters — multiple layers:

• News filter — connects to a live news server, blocks trading around historically impactful events (especially interest rate decisions where actual deviated from estimated)

• Holiday filter — blocks trading during NYSE holidays when liquidity is thin

• Volume spike detection — monitors real-time volume to detect ad-hoc events (tariff tweets, geopolitical surprises) and pulls out

• H1 Bollinger Band filter — prevents trading on the wrong side of momentum

• Trend filter — avoids entries against short-term trends expected to retrace unfavourably

• Max spread filter — blocks trading when spreads exceed safe thresholds

• Swap ratio filter — prevents trading when swap costs would eat too much of the potential profit

• Weekend gap filter — blocks Monday trading if the weekend gap is too large

• Daily loss limit — closes all positions and orders when a configurable daily loss percentage is breached, calculated from 17:00 ET (broker rollover time). Prop firm compatible.

That’s nine separate safety filters. Most EAs have one or two. Chiroptera’s layered approach reflects a developer who has thought deeply about every way a night scalper can get hurt.

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What the Signal Data Actually Tells Us

Looking across the four signals, a few patterns stand out that the headline growth numbers don’t capture.

The 3.5× performance gap between VT Markets and Global Prime isn’t just a broker quality story — it’s an execution timing story. Night scalpers live and die by the spread they get during the Asian session window. VT Markets and Star Trader (935% and 897% respectively) likely offer tighter XAUUSD-adjacent cross spreads during those hours than Global Prime (265%). The fact that Chiroptera still produced 265% on the weakest broker over 24 weeks tells you the underlying strategy has genuine edge — it’s just that execution costs consume different amounts of that edge depending on where you’re trading.

The “BestPairs” subset (CHFJPY, EURJPY, GBPAUD, GBPJPY, EURAUD) is revealing. Four of the five are JPY crosses, and the fifth is an AUD cross — exactly the pairs with the most predictable mean-reversion behaviour during Asian hours when Tokyo is the only major centre active. This isn’t random pair selection. It’s a developer who understands that JPY pairs during the Tokyo session have structural characteristics that favour night scalping: thin liquidity creating predictable ranges, followed by reversion when London opens. The “AllPairs” list adds 15 more pairs for more opportunities but dilutes the profit factor.

The newly added FP Markets signal is the most interesting data point right now. It’s only a couple of weeks old and still in the 60-day calibration window — meaning the adaptive algorithm hasn’t yet learned which pairs work best on FP Markets’ execution. Watching this signal over the next two months will tell us whether the adaptive learning genuinely improves performance as it calibrates, or whether initial performance is what you get. If the FP Markets signal shows a visible inflection point around week 8–10, that’s evidence the adaptive algorithm is doing what the developer claims.

The Developer and MQL5 Reviews

Rob Josephus Maria Janssen (MQL5 username: dutchdevil) is not a mass-producer of EAs. Chiroptera appears to be his primary product, and the level of engineering depth in the parameter set suggests someone with a quantitative background rather than a “throw it at the wall” EA factory. The documentation is unusually detailed — every input parameter is explained with its default value, purpose and practical implications.

Chiroptera has 10 verified MQL5 reviews (5★) and 32 comments. With 41 purchases per month, this EA has real commercial traction. The reviews are consistently positive:

One reviewer described it as having “strong risk management” that “helps protect the account from large drawdowns” with a developer who is “extremely supportive and responds quickly to any queries.” Another said the developer has “put serious effort” into the product. A third praised it for trading “many forex pairs without keeping trades running for days” with “excellent” developer support.

The comment section (32 comments) shows an engaged developer who responds to technical questions in detail, troubleshoots individual broker issues, and iterates on feedback. Version 2.10 (March 2026) is the latest, with regular updates since the October 2025 launch.

The Price and Value Equation

Chiroptera sits at $799 on MQL5 — expensive for an EA, but not unreasonable given the engineering depth and four simultaneously verified live signals. Rob uses a progressive pricing model where the price increases with sales volume.

At CheaperForex’s price of ~$390, you’re getting the same official MQL5 activation at roughly half the retail price. Same adaptive intelligence, same lifetime updates, same 10 activations. The risk/reward on trying Chiroptera at $390 is considerably more favourable — if the EA delivers even a few months of the returns the live signals show, it pays for itself quickly.

What Could Go Wrong

Night scalping is getting harder. Multiple developers of once-successful night scalpers have publicly acknowledged that the strategy space has become more competitive since 2022. More algorithms trading the same window means less edge per algorithm. Chiroptera’s adaptive learning is designed to counter this, but the structural trend is real.

The 60-day learning period means patience. You won’t see optimised performance from day one. The adaptive algorithm needs two months of live data to calibrate properly. Some traders will find this frustrating — you’re effectively running a sub-optimal version of the EA for two months while it learns. You can accelerate this by generating weights in backtesting, but it’s still a more involved setup than a typical plug-and-play EA.

Broker selection matters enormously. The 3.5x performance difference between VT Markets (935%) and Global Prime (265%) over the same period tells you that broker choice is not optional — it’s fundamental to the outcome. If your broker has wide Asian session spreads or poor execution during quiet hours, Chiroptera’s edge may not survive the costs.

Forex pairs only. No Gold, no crypto, no indices. If you want XAUUSD night scalping, Chiroptera isn’t designed for it. This is a pure forex multi-currency system.

Limited review sample. 10 reviews and 41 purchases/month is solid but still a modest community compared to mass-market EAs. The reviews are uniformly positive, but the sample is tiny compared to mass-market EAs. You’re partly trusting the live signals rather than community consensus.

Setup and Requirements

Installation: Attach Chiroptera to any single chart (e.g. EURUSD, any timeframe). With OneChartSetup enabled (default), it automatically manages all 20 pairs from that single chart. Set your RiskFactor. Optionally enable push notifications via MT5 mobile app. The EA handles everything else — pair selection, adaptive weighting, news/holiday blocking, order placement and management.

Frequently Asked Questions

What makes Chiroptera different from other night scalpers?

The adaptive learning algorithm. Most night scalpers treat every broker and every pair identically. Chiroptera monitors which pairs perform best on your specific broker over time and dynamically adjusts lot allocation — using exponentially time-weighted analysis that prioritises recent results. After the 60-day calibration period, the EA is effectively custom-tuned to your broker’s execution characteristics.

Why do the four live signals show such different results?

Because night scalping is one of the most broker-sensitive strategies in forex. Differences in Asian session spreads, execution speed, swap rates and liquidity between brokers directly impact profitability. The 935% on VT Markets vs 265% on Global Prime over the same 24 weeks demonstrates this. Chiroptera’s adaptive algorithm is designed specifically to handle this reality — it learns what works on each broker rather than assuming one size fits all.

Does Chiroptera use grid, martingale or averaging?

No. Single trades only, one per symbol at a time. Every trade has a stop loss and take profit that are continuously adjusted during the trade. No recovery positions, no lot doubling, no stacking. The developer describes this as “single-placed trades with tactically placed Take Profits and Stop Losses.”

How long does the adaptive learning take?

The default minimum is 60 days before the algorithm begins adjusting lot sizes per pair. You can accelerate this by generating adaptive weights during backtesting and importing them into the live account via the ReadOrWriteWeights parameter — giving the EA a head start based on historical performance data for your broker.

Is Chiroptera prop firm compatible?

Yes. It includes a configurable MaxDailyLossPercentage that closes all positions and orders when breached, calculated from 17:00 ET (standard broker rollover time). Combined with single trades, stop losses on every position, and no grid/martingale, the architecture is prop firm friendly. The developer labels it “Prop Firm Ready” on MQL5.

What pairs does it trade?

Up to 20 forex pairs from a single chart: EURUSD, GBPUSD, AUDCAD, EURAUD, EURCAD, GBPAUD, GBPCAD, EURCHF, GBPCHF, USDJPY, EURJPY, USDCAD, EURGBP, USDCHF, CADCHF, CHFJPY, AUDJPY, AUDCHF, AUDUSD and GBPJPY. No Gold, no crypto, no indices. A “BestPairs” subset (CHFJPY, EURJPY, GBPAUD, GBPJPY, EURAUD) is available for maximum profit factor.

Why is it cheaper at CheaperForex?

We purchase licenses in volume and pass the savings on. Chiroptera is $799 on MQL5. At CheaperForex you get the same official activation at roughly half price — same product, same lifetime updates, same 10 activations. 7-day money-back guarantee before activation.

The Bottom Line

Chiroptera is the most technically sophisticated night scalper we’ve reviewed. The adaptive learning algorithm that custom-tunes pair allocation to your specific broker is a genuine innovation, not a marketing gimmick — and the four simultaneous live signals across four different brokers with 24 weeks of data prove it works in practice. The 265%–935% growth range across brokers shows both the opportunity and the broker sensitivity. Nine safety filters, limit orders instead of market orders, real-time volatility monitoring, and prop firm-compatible daily loss limits create a multilayered safety architecture that reflects deep thinking about how night scalpers fail.

The honest risks: night scalping as a category has gotten harder since 2022. The 60-day calibration period means you need patience. Broker selection is fundamental, not optional. The user base is growing (10 reviews, 41 purchases/month) but still modest. And the developer has recently added a fifth signal on FP Markets that’s still in calibration — early data isn’t flattering, which is either concerning or refreshingly honest depending on your perspective.

We rate Chiroptera 4 out of 5. The engineering quality and live signal transparency are exceptional. The adaptive learning concept is genuinely novel. The main reason we hold back from a higher score is the inherent difficulty of the night scalping space in 2026 and the still-growing review sample. At CheaperForex’s ~$390 vs MQL5’s $799, the value proposition is strong.

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