/* Only complements native navigation; native search and Woo actions stay unchanged. */ (()=>{ const key='cfHeaderDraft40435'; window[key]?.dispose?.(); const abort=new AbortController(),media=matchMedia('(max-width:1024px)'); const header=()=>document.querySelector('.elementor-40435.elementor-location-header'); const toggle=()=>header()?.querySelector('.cf-header-nav .elementor-menu-toggle'); const expanded=t=>t&&(t.getAttribute('aria-expanded')==='true'||t.classList.contains('elementor-active')); const close=focus=>{const t=toggle();if(expanded(t)){t.click();if(focus)t.focus();}}; document.addEventListener('keydown',event=>{ if(event.key==='Escape'&&expanded(toggle())){close(true);event.preventDefault();} },{signal:abort.signal}); document.addEventListener('pointerdown',event=>{ const nav=header()?.querySelector('.cf-header-nav'); if(media.matches&&expanded(toggle())&&nav&&!nav.contains(event.target))close(false); },{signal:abort.signal}); const change=()=>close(false);media.addEventListener('change',change); const disposeCart=cfEnhanceDraftCart(header()); window[key]={dispose(){abort.abort();media.removeEventListener('change',change);disposeCart();}}; /* Proposal only. Call inside the draft header's existing behaviour IIFE: * const disposeCart = cfEnhanceDraftCart(header()); * Include disposeCart() in that IIFE's existing dispose method. * Native cart toggling, fragments and checkout links remain untouched. */ function cfEnhanceDraftCart(header) { if (!header || header.getAttribute('data-elementor-id') === '353') return () => {}; const abort = new AbortController(), owned = new Map(); let wasOpen = false, closing = false, frame = 0; const refs = () => { const widget = header.querySelector('.cf-header-cart'); return {widget, pane:widget?.querySelector('.elementor-menu-cart__main'), trigger:widget?.querySelector('.elementor-menu-cart__toggle_button'), close:widget?.querySelector('.elementor-menu-cart__close-button, .elementor-menu-cart__close-button-custom')}; }; const open = r => !!r.widget?.classList.contains('elementor-menu-cart--shown'); const attribute = (el, name, value) => { if (!el || el.getAttribute(name) === value) return; if (!owned.has(el)) owned.set(el, new Map()); const values = owned.get(el), old = values.has(name) ? values.get(name).old : el.getAttribute(name); values.set(name, {old, value}); el.setAttribute(name, value); }; const prepare = r => { if (!r.pane) return; if (!r.pane.id) attribute(r.pane, 'id', 'cf-cart-dialog-' + header.getAttribute('data-elementor-id')); attribute(r.pane, 'role', 'dialog'); attribute(r.pane, 'aria-modal', 'true'); if (!r.pane.hasAttribute('aria-label') && !r.pane.hasAttribute('aria-labelledby')) attribute(r.pane, 'aria-label', 'Shopping cart'); attribute(r.pane, 'tabindex', '-1'); attribute(r.trigger, 'aria-haspopup', 'dialog'); attribute(r.trigger, 'aria-controls', r.pane.id); if (r.close) { if (!r.close.matches('button, input[type="button"]')) attribute(r.close, 'role', 'button'); attribute(r.close, 'tabindex', '0'); if (!r.close.hasAttribute('aria-label') && !r.close.hasAttribute('aria-labelledby')) attribute(r.close, 'aria-label', 'Close shopping cart'); } }; const focusable = pane => [...pane.querySelectorAll('a[href],button,input,select,textarea,summary,[tabindex],[contenteditable="true"]')] .filter(el => el.tabIndex >= 0 && !el.matches(':disabled') && !el.closest('[hidden],[inert],[aria-hidden="true"]') && el.getClientRects().length && getComputedStyle(el).visibility === 'visible'); const focusInside = () => { const r = refs(); if (!open(r) || closing || !r.pane) return; (focusable(r.pane)[0] || r.pane).focus({preventScroll:true}); }; const returnFocus = () => { const t = refs().trigger; if (t?.isConnected) t.focus(); }; const sync = () => { const r = refs(); prepare(r); const now = open(r); if (now && !wasOpen) { closing = false; cancelAnimationFrame(frame); frame = requestAnimationFrame(focusInside); } else if (!now && wasOpen) { closing = true; cancelAnimationFrame(frame); returnFocus(); closing = false; } else if (now && r.pane && !r.pane.contains(document.activeElement) && !closing) { cancelAnimationFrame(frame); frame = requestAnimationFrame(focusInside); } wasOpen = now; }; const closeNative = () => { const r = refs(); if (!open(r)) return; closing = true; returnFocus(); // Invoke the existing handler; never change its internal isCartOpen state. (r.close || r.trigger)?.click(); if (open(refs())) { closing = false; focusInside(); } }; document.addEventListener('keydown', event => { const r = refs(); if (!open(r) || !r.pane) return; if (event.key === 'Escape') { event.preventDefault(); event.stopPropagation(); closeNative(); return; } if ((event.key === 'Enter' || event.key === ' ') && r.close?.contains(event.target) && !r.close.matches('button, input[type="button"]')) { event.preventDefault(); closeNative(); return; } if (event.key !== 'Tab') return; const list = focusable(r.pane), first = list[0], last = list[list.length - 1], current = document.activeElement; if (!first) { event.preventDefault(); r.pane.focus({preventScroll:true}); } else if (!r.pane.contains(current) || (event.shiftKey && (current === first || current === r.pane))) { event.preventDefault(); (event.shiftKey ? last : first).focus({preventScroll:true}); } else if (!event.shiftKey && current === last) { event.preventDefault(); first.focus({preventScroll:true}); } }, {capture:true, signal:abort.signal}); // Move focus before native click handlers apply aria-hidden to the pane. document.addEventListener('click', event => { const r = refs(); if (!open(r) || !r.pane) return; if (r.close?.contains(event.target) || !r.pane.contains(event.target)) { closing = true; returnFocus(); queueMicrotask(() => { if (open(refs())) { closing = false; focusInside(); } }); } }, {capture:true, signal:abort.signal}); document.addEventListener('focusin', event => { const r = refs(); if (!closing && open(r) && r.pane && !r.pane.contains(event.target)) focusInside(); }, {capture:true, signal:abort.signal}); const observer = new MutationObserver(sync); observer.observe(header, {subtree:true, childList:true, attributes:true, attributeFilter:['class','aria-hidden']}); sync(); return () => { observer.disconnect(); abort.abort(); cancelAnimationFrame(frame); for (const [el, attrs] of owned) for (const [name, {old, value}] of attrs) { if (el.getAttribute(name) !== value) continue; if (old === null) el.removeAttribute(name); else el.setAttribute(name, old); } }; } })();

Official MT4 version

Bitcoin Quantum Edge Algo EA MT4

Latest version

Bitcoin Quantum Edge Algo for MT4 is a BUY/SELL directional scoring engine for BTCUSD trading by Ilies Zalegh. Rather than firing trades off indicator crossovers, the EA calculates competing buy and sell pressure scores across trend, momentum, structure, and volatility dimensions — and only enters when one direction achieves clear dominance. The result is an ultra-selective system that prioritises quality over quantity on Bitcoin’s most volatile moves.

The multi-year backtest shows an 8.5 profit factor with an 88.37% win rate across 86 trades, just 8.68% maximum equity drawdown, and a 6.54 Sharpe ratio — producing over $782K in net profit with institutional-grade risk control. This is the MetaTrader 4 edition of the popular MT5 system that holds all 5-star reviews on MQL5.

  • ✅ 8.5 profit factor with 88.37% win rate — wins nearly 9 out of 10 trades across 86 setups
  • ✅ 1:1.5 risk/reward with 94.44% short win rate — exceptional accuracy on both sides of the market
  • ✅ 8.68% max equity drawdown — $782K profit with controlled, progressive equity growth
  • ✅ BUY/SELL scoring engine — calculates directional dominance across multiple market dimensions
  • ✅ No grid, no martingale — ATR-based stop loss on every trade, strict anti-overtrading logic
  • ✅ All 5-star reviews — MT5 version rated 5/5 by verified MQL5 buyers

Scoring engine. Directional dominance. 8.5 PF. Quality over quantity.

Bitcoin Quantum Edge Algo LogoMT4Save 55%

Regular priceRegular price was $599.00

$215.96Crypto priceUSDT, USDC, BTC or ETH. Extra 20% off at checkout.Save 64%You save $383.04 with crypto

$269.95 with card

Visa, Mastercard, Apple Pay and Google Pay accepted.

Card payments add bank fees, sales taxes and other charges.

  • Latest version
  • Instant downloadYour file is provided immediately after payment. In very rare cases we manually review an order first, then send your download straight after. If you don’t receive your file, you can request a full refund.
  • Free future updatesAll updates are free. They’re provided on a best-availability basis: we get new versions as fast as we can, led by customer demand, but we don’t guarantee them immediately. If you need every update the moment it’s released, our service may not be the best fit for you.
  • 7-day money-backRefunds only cover an EA that fails to attach to your chart because of errors we can replicate. We don’t cover changing your mind or not liking the EA. All brokers are different, and results are never promised because markets are constantly changing.
  • Unlimited activationsUse it on as many MT4 accounts and computers as you want, live or demo. There are no restrictions on how you use it.

Source code (.mq4) available at checkout.

Orders over $300 include 3 months of PrismAlgo freeThe highly recommended cloud-connected EA for 28 FX pairs, Gold and Bitcoin. Added to your cart automatically. View PrismAlgo

Official versionsInstant downloadFuture updates includedExtra 20% off with cryptoReal people on support28,000+ tradersTrading since 2019Rated Excellent on Trustpilot

Product description

About Bitcoin Quantum Edge Algo EA MT4

Quick Summary:
Bitcoin Quantum Edge Algo for MT4 is a BUY/SELL directional scoring engine for BTCUSD trading by Ilies Zalegh. This is the MetaTrader 4 edition — same strategy logic as the developer’s MT5 version, adapted for the MT4 platform.

Where most Bitcoin EAs generate signals from indicator crossovers or momentum thresholds, Quantum Edge takes a fundamentally different approach: it calculates competing buy and sell pressure scores across multiple market dimensions and only enters when one direction achieves clear dominance. The philosophy is ultra-selective — the EA waits for genuine alignment rather than forcing trades into noise.

The multi-year backtest shows an 8.5 profit factor with an 88.37% win rate across 86 trades, just 8.68% maximum equity drawdown, a 6.54 Sharpe ratio, and over $782K in net profit. The MT5 version holds all 5-star reviews on MQL5 — every single buyer rates it 5/5.

Official MQL5 Listing (MT4):
Bitcoin Quantum Edge Algo — MT4 Version

Why Scoring Beats Signals on Bitcoin

Bitcoin is not Gold. It’s not EUR/USD. BTCUSD moves with a volatility profile that destroys conventional indicator-based EAs. A $2,000 candle in 15 minutes isn’t unusual. RSI stays “overbought” for days during trends. Moving average crossovers fire too late on a $90K+ instrument. The standard EA approach — react to indicator signals and hope for the best — produces excessive noise trades and uncontrolled drawdowns.

Bitcoin Quantum Edge Algo inverts this entirely. Instead of asking “what’s the signal?”, the EA asks “does one side — buyers or sellers — clearly dominate right now?” Two distinct scores are calculated: one measuring buyer pressure, one measuring seller pressure. A position is only considered when a clear directional imbalance is detected across trend, momentum, structure, and volatility dimensions.

When neither side dominates — during choppy, range-bound, or contradictory market conditions — the EA does nothing. It waits. This is the mechanism that produces an 88.37% win rate from just 86 trades: extreme selectivity means every trade enters a market that genuinely supports it.

The Multi-Timeframe Decision Architecture

Bitcoin Quantum Edge Algo MT4 — BUY/SELL scoring dashboard on BTCUSD M15 chart
Bitcoin Quantum Edge Algo — Live dashboard showing BUY/SELL scores, system status, and ATR-based risk management

Bitcoin Quantum Edge Algo organises its analysis across four timeframe layers, each serving a distinct function:

  • H4 / D1 — Context Layer — identifies the dominant market environment, general trend direction, and structural bias. This layer determines whether trading is appropriate. During contradictory or unstable D1/H4 conditions, the EA stays out entirely
  • H1 — Validation Layer — reads the intermediate technical context and validates the regime. Confirms whether the shorter-timeframe scoring aligns with the broader picture
  • M15 — Scoring & Trigger Layer — the core engine. Calculates BUY and SELL scores and triggers entries when clear directional dominance is confirmed. This is the recommended chart timeframe
  • M5 — Precision Layer — provides fast analysis for certain technical confirmations and precise entry timing within the M15 framework

All layers must agree before a position opens. If context says “trend up,” scoring says “buyers dominate,” but the M5 precision layer shows conflicting signals — the EA waits. No rushed entries. No forced positions.

Execution Quality Filters

Beyond the multi-timeframe architecture, Bitcoin Quantum Edge Algo applies additional filters specifically tuned for BTCUSD’s characteristics:

  • Spread Filter — prevents entries when Bitcoin spreads are abnormally wide (news events, weekend gaps, low liquidity). The EA monitors execution conditions in real time
  • Volatility Regime Filter — adapts behaviour based on current BTCUSD volatility. Bitcoin’s regime shifts are extreme — the EA distinguishes trending momentum from erratic chop
  • Anti-Overtrading Logic — minimum interval between trades plus daily trade limits. Even if multiple setups appear, the EA enforces discipline. No saturation, no trade stacking
  • Drawdown Protection — maximum drawdown threshold. If the defined limit is reached, trading stops
  • Unfavourable Period Filtering — the EA identifies and avoids market periods historically prone to erratic Bitcoin behaviour

Backtest: 8.5 Profit Factor With 88.37% Win Rate

Bitcoin Quantum Edge Algo MT4 — backtest equity curve: progressive growth, controlled drawdown
Bitcoin Quantum Edge Algo — Equity curve: progressive growth with deposit load under 10%

Bitcoin Quantum Edge Algo MT4 — backtest metrics: 8.5 PF, 88.37% WR, 86 trades
Bitcoin Quantum Edge Algo — Full backtest metrics: 8.5 PF across 86 trades

✅ Multi-Year Backtest — BTCUSD

  • Total Net Profit: $782,561
  • Profit Factor: 8.5
  • Recovery Factor: 14.96
  • Sharpe Ratio: 6.54
  • Total Trades: 86 (172 operations)
  • Win Rate: 88.37% (76 wins, 10 losses)
  • Short Win Rate: 94.44% (36 wins)
  • Long Win Rate: 84.00% (50 wins)
  • Average Win: $11,665 | Average Loss: -$9,703
  • Max Consecutive Wins: 32 ($309,261)
  • Max Consecutive Losses: 2 (-$36,443)
  • Average Consecutive Wins: 10
  • Average Consecutive Losses: 1
  • Balance DD Maximum: 5.84%
  • Equity DD Maximum: $9,161 (8.68%)
  • Risk/Reward Ratio: 1:1.5
  • LR Standard Error: 65,787
  • Z-Score: -1.17 (75.80%)

Past performance is not indicative of future results. Trading involves risk of capital loss. Always test on demo before going live.

Understanding the Numbers

Why 86 Trades Matters More Than 8,600
Most EAs justify themselves with thousands of backtest trades — but high volume often masks low selectivity. Bitcoin Quantum Edge Algo took just 86 trades across the entire test period because the scoring engine rejected the vast majority of market conditions. Only 86 setups met the strict criteria for clear directional dominance. The result: 88.37% of those 86 trades were winners.

8.5 Profit Factor — What It Means
For every $1 the EA lost, it made $8.50 in profit. A profit factor above 2.0 is considered strong. Above 4.0 is exceptional. 8.5 is extraordinary — and it’s achievable precisely because the scoring engine filters out marginal setups before they become losing trades.

94.44% Short Win Rate
The EA is particularly accurate on short (sell) trades — winning 34 out of 36 short positions. This suggests the scoring engine is especially effective at identifying Bitcoin distribution phases, where seller dominance is clear.

Max Consecutive Losses: 2
The worst losing streak in the entire backtest was just two trades. The maximum consecutive loss amount was $36,443. Compare this to the maximum consecutive winning streak of 32 trades producing $309,261. The asymmetry between winning and losing runs is dramatic.

Recovery Factor: 14.96
Net profit divided by maximum drawdown. A recovery factor of 14.96 means the EA produced nearly 15x its worst drawdown in profit. This demonstrates that when drawdowns occur, they’re quickly recovered and dwarfed by subsequent profits.

The Live Dashboard

In live trading, Bitcoin Quantum Edge Algo displays a comprehensive dashboard directly on the MT4 chart:

  • BUY/SELL Scores — live directional balance. See exactly what the scoring engine is calculating in real time
  • Active Filters — which conditions are validated and which are blocking a potential entry. You always know why the EA is acting or waiting
  • Volatility & Market Regime — real-time assessment of the current BTCUSD environment
  • Risk & Drawdown — current exposure, active risk framework, and capital protection status
  • System Status — whether the EA is active, waiting for conditions, or paused by a protection rule

The dashboard provides full transparency. You never have to guess what the EA is doing or why it’s inactive. Every decision — trade or no trade — is visible on the chart.

Bitcoin Quantum Edge Algo MT4 — key features overview: solid backtests, risk management, 24/7 trading
Bitcoin Quantum Edge Algo — Key features: solid backtests, advanced risk management, 24/7 automated trading

Verified Customer Reviews

The MT5 version of Bitcoin Quantum Edge Algo holds all 5-star reviews on MQL5 — every single verified buyer rated it 5/5. Here’s what traders are saying:

★★★★★ “Quality rather than quantity — prioritises long-term stability and profitability.”
The EA has entered the market at the right time with tidy profits in a volatile market. The live dashboard is clear and provides great feedback on how the EA is operating. Ilies has been very responsive and helpful.
— SamberTrading, MQL5 Verified Buyer

★★★★★ “Very few trades but good profit and very little drawdown.”
Demoed and backtested Bitcoin Quantum Edge — liked the results. Very few trades for the backtest but good profit and very little drawdown. The risk/reward ratio is what stood out. Purchased and running on a small test account before moving to larger accounts.
— RatmanPoway, MQL5 Verified Buyer

★★★★★ “The Risk to Reward is great — clean interface, good profits.”
Still in the testing phase but already making very good profits. Customer support is very good with every question answered fast. The EA is setup clean with a good readable interface.
— coin2512, MQL5 Verified Buyer

★★★★★ “The winning trades easily outperform the losses by several times.”
Even though there are occasional spikes that hit the stop loss, the EA’s risk-to-reward ratio is so well-managed that the winning trades easily outperform. Losing streaks are very rare and the overall drawdown is kept to a minimum. Highly resilient for BTC volatility.
— wurakan, MQL5 Verified Buyer

★★★★★ “Selective and accurate — quality setups over overtrading.”
The EA does not trade too often, but it is quite selective and accurate. Quantity doesn’t matter if there is no quality — and this EA prioritises quality setups. Backtests showed strong performance with controlled drawdown. The seller’s support was quick and helpful with setup questions.
— rafael carassa, MQL5 Verified Buyer

★★★★★ “Clear trading setup and very small DD on proper risk level.”
A great EA with clear trading setup and very small drawdown on proper risk level. The EA and support is professional level. Highly recommended.
— Dani12555, MQL5 Verified Buyer

★★★★★ “Built seriously, works with clear logic, and comes with reliable support.”
Very satisfied with both the product and the service. The support has been responsive, helpful, and professional. No EA can make profit all the time, but what matters is having a system that is built seriously, works with clear logic, and comes with reliable support.
— Wildan Juniawan, MQL5 Verified Buyer

Bitcoin Quantum Edge Algo — all 5-star MQL5 reviews from verified buyers
Bitcoin Quantum Edge Algo — All 5-star reviews from verified MQL5 buyers

EA Setup

  • Platform: MetaTrader 4
  • Instrument: BTCUSD exclusively
  • Timeframe: M15 recommended (EA analyses M5, H1, H4, D1 internally)
  • Stop Loss: ATR-based, defined on every trade
  • Take Profit: Risk/Reward-based (1:1.5 default)
  • Grid / Martingale: None
  • Anti-Overtrading: Built-in minimum interval between trades and daily limits
  • Drawdown Protection: Maximum drawdown threshold
  • Spread Filter: Active — prevents entries during wide spreads
  • Broker: Stable execution with competitive BTCUSD spreads
  • VPS: Recommended for 24/7 continuous operation

Our Assessment

Based on the multi-year backtest, all 5-star verified reviews, developer engagement, and scoring architecture:

  • Win Rate Dominance: 88.37% across 86 trades is exceptional. 94.44% on shorts is particularly striking. The scoring engine clearly identifies directional dominance with high accuracy — especially during Bitcoin distribution phases. The low trade count (86) confirms extreme selectivity rather than curve-fitting across thousands of marginal signals
  • Scoring Architecture: The BUY/SELL dominance approach is fundamentally different from indicator-based signal generation. By requiring clear directional dominance across multiple market dimensions before entry, the EA pre-filters the noise problem that destroys most Bitcoin trading systems. The 8.5 profit factor is the measurable result of this selectivity
  • Risk Discipline: 8.68% max equity drawdown with $782K profit demonstrates strong risk control. Maximum consecutive losses of just 2 trades means extended losing streaks are essentially non-existent in the backtest. The recovery factor of 14.96 confirms rapid recovery from any drawdown
  • Trade Frequency: 86 trades across the entire backtest period means very low frequency. This requires genuine patience. Traders expecting daily or weekly action should adjust expectations — the EA may go weeks between trades during unfavourable conditions
  • Review Quality: Every single MQL5 buyer of the MT5 version rated it 5/5 stars. Multiple reviewers specifically mention quality over quantity, clean dashboard, responsive support, and controlled drawdown. This unanimous satisfaction across different trading profiles is notable
  • Developer Quality: Ilies Zalegh provides installation manuals, setup guidance, and responsive support. Multiple reviews mention proactive communication. His portfolio spans multiple instruments (XAUUSD, BTCUSD, NASDAQ, DAX40) all using variations of the scoring engine approach
  • No Live Signal: No published MQL5 live signal for the MT4 version at this time. The backtest metrics are strong and the MT5 reviews are uniformly positive, but live validation remains the gold standard. Demo testing is essential before committing live capital
  • Overall: Bitcoin Quantum Edge Algo MT4 brings a genuinely different approach to BTCUSD trading — scoring directional dominance rather than chasing indicator signals. The 8.5 PF and 88.37% win rate across 86 trades represent extraordinary selectivity. The main trade-offs are very low frequency (patience is mandatory) and the absence of a live signal. For disciplined MT4 traders who want a surgical Bitcoin tool rather than an active trading system, this is one of the most compelling BTCUSD architectures available

Who Is Bitcoin Quantum Edge Algo MT4 For?

Ideal for traders who:

  • Want a specialist BTCUSD system — designed and optimised exclusively for Bitcoin
  • Value extreme selectivity — the EA rejects far more setups than it takes
  • Prioritise risk control — 8.68% max equity DD, anti-overtrading logic, drawdown protection
  • Prefer a scoring approach over indicators — directional dominance, not crossover signals
  • Run MetaTrader 4 — this is the MT4 edition
  • Appreciate proactive developer support — Ilies provides installation and settings guidance

Consider alternatives if you:

  • Want frequent daily trading activity — this EA may go weeks between trades
  • Need a verified live signal before buying — no published signal for MT4
  • Want multi-pair trading — BTCUSD only

Risk Disclaimer

Past performance does not guarantee future results. The backtest uses historical data and does not account for real-world execution factors like variable spreads, slippage, and broker-specific conditions. There is no published live signal for this product. The EA’s performance should be evaluated over at least 3–4 months on a demo account. Always test before trading live. Do not trade with funds you cannot afford to lose.

What Do You Receive?

– Bitcoin Quantum Edge Algo for MT4 – Latest Version
– Free lifetime updates (when we receive them)

Every order

What’s included with Bitcoin Quantum Edge Algo

Download it, install it and keep it current: everything comes with your license.

  • Instant download

    Ready the moment checkout completes, and kept in your customer portal.

  • Installation guide

    Step-by-step PDF with screenshots.

  • Optimized presets

    Ready-to-use configuration files.

  • Future updates

    Included free when we receive them. You never pay twice, and every version stays in your account.

  • Unlimited activations

    Use it on as many terminals as you like: unlimited live and demo accounts, no activation keys.

  • Setup help

    Questions about installing or settings? Message us on Telegram or email and a real person answers.

7-day money-back guarantee

If the EA fails to attach to your chart because of errors we can replicate, you get a full refund.

*Refunds don’t cover changing your mind or not liking the EA. All brokers are different, and results are never promised because markets are constantly changing.

Product FAQs

Bitcoin Quantum Edge Algo EA MT4 FAQs

Still deciding?

Real people on support, by Telegram or our contact form.

What is Bitcoin Quantum Edge Algo MT4?

Bitcoin Quantum Edge Algo MT4 is an automated BTCUSD trading system by Ilies Zalegh that uses a BUY/SELL directional scoring engine rather than traditional indicator signals. It calculates competing buyer and seller pressure scores across trend, momentum, structure, and volatility dimensions — and only enters when one direction achieves clear dominance. Backtest: 8.5 PF, 88.37% WR across 86 trades, 8.68% max equity DD. This is the MetaTrader 4 edition.

How does the scoring engine differ from indicator-based Bitcoin EAs?

Traditional EAs react to indicator signals (RSI oversold → buy, MA crossover → sell) without evaluating whether the broader market supports the trade. Bitcoin Quantum Edge Algo inverts this — it first asks whether buyers or sellers dominate the current market across multiple dimensions. Only when one side clearly dominates does it permit an entry. This filtering step is why it achieves 88.37% accuracy from just 86 trades rather than thousands of marginal signals.

Why does it only take 86 trades across the entire backtest?

The scoring engine requires clear directional dominance before permitting any entry. When Bitcoin is choppy, directionless, or when neither buyers nor sellers have convincing control, the EA stays out. Most market hours don’t meet the strict dominance criteria. The extremely low frequency is the mechanism that produces the high win rate and profit factor — selectivity is the edge. Expect periods of inactivity lasting days or weeks.

What does an 8.5 profit factor mean?

For every $1 the EA lost, it made $8.50 in profit. A profit factor above 2.0 is considered strong. Above 4.0 is exceptional. 8.5 is extraordinary — and it’s achievable precisely because the scoring engine filters out marginal setups before they become losing trades. The selectivity (only 86 trades) concentrates activity into the highest-probability setups.

Why is the short win rate (94.44%) higher than the long win rate (84.00%)?

The scoring engine appears particularly effective at identifying Bitcoin distribution phases — periods where seller dominance is clear. Shorting Bitcoin during confirmed distribution is inherently higher-conviction because the conditions are more binary: either institutional selling is present or it isn’t. Long trades during accumulation phases have more noise. Both sides are highly profitable, but shorts are where the scoring engine excels.

What are the four timeframe layers?

H4/D1 serves as the context layer — determining whether trading is appropriate given the dominant environment and trend. H1 handles intermediate validation and regime confirmation. M15 is the scoring and trigger layer — the core engine that calculates BUY and SELL scores and executes entries. M5 provides fast precision analysis for timing confirmations. All layers must agree before a trade opens.

What risk protections are built in?

Multiple layers: ATR-based stop loss on every trade, configurable risk per trade (RiskPercent), risk/reward-based take profit (1:1.5 default), daily trade limits, minimum interval between trades, maximum drawdown threshold, spread filter preventing entries during wide-spread conditions, and unfavourable period filtering. Together these create a comprehensive risk framework beyond a simple stop loss.

Is this the same strategy as the MT5 version?

Yes — same scoring engine, same multi-timeframe architecture, same trade selection logic. Minor differences between MT4 and MT5 execution (tick processing, order handling) may produce slightly different results in live trading. The MT5 version holds all 5-star reviews on MQL5.

What broker should I use?

You need an MT4 broker that offers BTCUSD with stable execution and competitive spreads. The built-in spread filter prevents entries during abnormal conditions, but a consistently low-spread broker improves overall performance. The EA handles lot normalisation internally to adapt to different broker specifications.

Is there a live signal?

No published MQL5 live signal for the MT4 version at this time. The product’s validation rests on the multi-year backtest (8.5 PF, 88.37% WR, 86 trades) and the unanimously 5-star verified reviews on the MT5 version. The developer recommends testing on a demo account for 3–4 months before live deployment — we agree with this recommendation.

How does the 88.37% win rate combine with the 1:1.5 risk/reward?

This is a double edge. The EA wins nearly 9 out of 10 trades AND each win targets 1.5x the risk. Most systems have one or the other — either high win rate with small wins, or low win rate with large wins. Bitcoin Quantum Edge Algo achieves both simultaneously, which is what produces the 8.5 profit factor. The scoring engine’s extreme selectivity means it only enters setups where both probability and payout are favourable.

What about the maximum consecutive losses of 2?

The worst losing streak in the entire backtest was just two consecutive losses, costing $36,443. The average consecutive loss count is 1 — meaning most losses are isolated events immediately followed by wins. Compare this to the maximum consecutive winning streak of 32 trades producing $309,261. The asymmetry between winning and losing runs is dramatic and reflects the scoring engine’s selectivity.

Do I need a VPS?

Recommended. The EA continuously analyses D1, H4, H1, M15, and M5 conditions to maintain its scoring calculations. A VPS ensures uninterrupted monitoring and immediate execution when the scoring criteria are met. Missing a signal because your PC was asleep is particularly costly with a system that trades so infrequently — each missed trade represents a significant portion of the expected returns.

Is it prop firm compatible?

The 8.68% max equity drawdown, built-in drawdown protections, anti-overtrading logic, and defined stop losses make Bitcoin Quantum Edge Algo architecturally compatible with many prop firm rules. The very low trade frequency may be a consideration for evaluations with time limits or minimum activity requirements — check your prop firm’s specific rules.

What other products does Ilies Zalegh offer?

Ilies Zalegh’s MQL5 portfolio includes XAUUSD Quantum Pro EA, XAUUSD Quantum Scalping EA, Nasdaq Quantum PRO EA, DAX40 Quantum Pro EA, and SP500 Quantum Algo Pro EA — all using variations of his scoring engine approach across different instruments. The XAUUSD version is his flagship product with the most reviews.

How long should I demo test before going live?

The developer recommends 3–4 months minimum. Given the EA’s very low trade frequency, a 3-month demo period may only produce a handful of trades — but this sample is meaningful because every trade is a high-conviction setup. Evaluate win rate, drawdown behaviour, and scoring accuracy on your specific broker. Do not judge the system on individual trades or a single week.

The CheaperForex difference

Why 28,000+ traders choose CheaperForex

Trustpilot rating Excellent 4.6 out of 5 Based on 120 reviews on Trustpilot Read the reviews on Trustpilot (opens in a new tab)
“Bought 2 EAs from them. Requested update for new version and was sent within 24hrs. Great support. Recommended, 5 STARS.”
Aceman · Trustpilot review (opens in a new tab)
“Fantastic service as always. Have gotten a lot from them in the past and never been disappointed.”
Paul Michael Lawrence · Trustpilot review (opens in a new tab)
“They were friendly and helpful in setting up my expert advisor.”
Sarah Francis · Trustpilot review (opens in a new tab)
  • Instant accessNo group buys or waiting
  • 7-day refund policyRefunds only cover an EA that fails to attach to your chart because of errors we can replicate. We don’t cover changing your mind or not liking the EA. All brokers are different, and results are never promised because markets are constantly changing.For product errors
  • Setup helpBy Telegram or email
  • Flexible paymentsCards, Apple Pay, Crypto
Official EAs1,180+
Customers28,000+
Trading since2019

Ready when you are

Bitcoin Quantum Edge Algo EA MT4 for $215.96 with crypto

Regular price was $599.00 · $269.95 with card · instant download · future updates included

Bitcoin Quantum Edge Algo EA MT4$215.96with crypto$269.95 with card