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Stochastic SpiderNet (MT5) — review, price and free alternatives
MT5 expert advisorfree on MQL5by Vladimir Novikov
Stochastic SpiderNet is a free MetaTrader 5 expert advisor by Vladimir Novikov on the MQL5 Market — download it there; we host no third-party files. We haven't run it ourselves, so this page sticks to what its listing says and what to check before you use it.
Stochastic SpiderNet — key facts
- Platform
- MetaTrader 5 (MT5)
- Product type
- Expert advisor
- Developer
- Vladimir Novikov
- Price
- Free
- Listing
- MQL5 Market (mql5.com)
- FxRobotEasy verification status
- FxRobotEasy has not traded Stochastic SpiderNet on a live account and publishes no broker-verified performance record for it.
Last updated
What the developer says
Imagine a professional system that patiently weaves its web on the currency market, waiting for the perfect moment to strike.
Before you use Stochastic SpiderNet
What the developer claims
- Stochastic SpiderNet is an intelligent trading robot (expert advisor) for the MetaTrader 5 platform, created for traders who understand the power of grid trading but want to secure it with powerful protection algorithms.
- This is not just a grid trader. It is a symbiosis of the classic Stochastic oscillator and an adaptive grid controlled by artificial constraints.
Quoted from the listing. We have not tested these claims.
What to check first
- A live track record. Ask for an MQL5 signal on a real account, ideally three months or longer. Back-tests and screenshots are not a track record.
- Where you download it. Only from its MQL5 page — copies passed around elsewhere can be altered.
- How it handles losing trades. The listing mentions grid trading. Find out how far it adds to losing positions and what the worst drawdown was.
- Broker conditions. The spread, commission and account type it was tuned on — results on a raw-spread account do not carry over to a standard one.
- Updates and support. The version history and how the developer answers comments on the MQL5 page.
Editorial notes on Stochastic SpiderNet
Compiled from its public MQL5 listing. FxRobotEasy has not traded Stochastic SpiderNet; what these notes say about how it works comes from that listing.
Overview
Stochastic SpiderNet by Vladimir Novikov represents a comprehensive automated trading solution for MT5 traders. What sets Stochastic SpiderNet apart is its balanced approach to trade execution and capital preservation.
Risk notes
Stochastic SpiderNet implements a moderate risk profile with configurable parameters for different trading styles. The system uses stop losses on all positions and employs dynamic position sizing based on account equity. Recommended minimum account size ensures proper risk distribution.
Listed strengths
- MT5 platform compatibility
- Developed by experienced Vladimir Novikov
- Includes risk management features
Worth checking
- Requires adequate account capital
- Not suitable for all market conditions
- Needs proper configuration
Setup
Installing Stochastic SpiderNet on MT5 requires copying the EA file to your platform's Experts directory. After restart, attach to appropriate charts and configure risk parameters. Always backtest with historical data before live deployment.
Free to try · from FxRobotEasy
Looking for a trading robot you can try free?
Our robots at work. Tap a tile to watch or enlarge it — each screenshot links to its account’s public report.
Scalperology AIby FxRobotEasy
Our multi-pair AI scalper — majors, gold and crypto
- Get the installer on a Windows PCNo sign-up to download. On a phone, send yourself the link.
- Run it and sign in inside the appGoogle, Telegram or e-mail — about 10 minutes in all.
- Pick Scalperology AIIt starts on a free demo account: virtual money, every trade visible.
FxRobotEasy on Telegram
The team's notes, every day
- What we ship, what breaks and how we fix it
- Scalperology AI in our bot — set up from your phone, run it on a Windows PC
- Questions answered in the bot
Stochastic SpiderNet or Scalperology AI?
| Stochastic SpiderNet | Scalperology AI | |
|---|---|---|
| How you get it | Free on MQL5 | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Vladimir Novikov | FxRobotEasy |
Stochastic SpiderNet — questions
What is Stochastic SpiderNet?
Stochastic SpiderNet is a MetaTrader 5 Expert Advisor (trading robot) published on the MQL5 Market by Vladimir Novikov, and it is listed at no charge. As an Expert Advisor it can open and manage positions on its own once it is attached to a chart and algorithmic trading is enabled in the terminal.
Does Stochastic SpiderNet work on MT4 or MT5?
Stochastic SpiderNet runs on MetaTrader 5, not MetaTrader 4. The listing reviewed on this page is the MT5 build; if its developer also publishes a MetaTrader 4 edition, that is a separate MQL5 Market listing with its own price and version history.
Is Stochastic SpiderNet free to download?
Yes -- Stochastic SpiderNet is listed on the MQL5 Market at no charge, as recorded when its listing was last checked on 2026-03-17. The file is downloaded from the developer's (Vladimir Novikov) product page on mql5.com and installed into MetaTrader 5.
Is there a verified track record for Stochastic SpiderNet?
FxRobotEasy has not traded Stochastic SpiderNet on a live account, so no independently verified track record for it is published here. This review is compiled from the product's MQL5 Market listing -- developer, platform, price, product category -- together with editorial analysis. Any back-tested or simulated figures shown alongside it are simulations rather than live trading results, and any performance claim you find for Stochastic SpiderNet elsewhere comes from its developer or from a third party.
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Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.
Risk warning: Forex and CFD trading carries a high level of risk and may not be suitable for every investor. Past performance is not indicative of future results. Read our risk warning and review methodology.