Trading Automation Scout Needed

Posted 2 weeks ago

Worldwide

Summary

I am looking for someone who understands the MQL5 / MT4 / MT5 / EA / trade-copier / signal-provider / trading-automation world from the inside. This is not a generic crypto research job and not a normal lead-generation spreadsheet task. I need a technically literate market scout who can identify 10 real public operators/products where a verifiable bot/action receipt layer could matter. Target examples may include: - MQL5 Market EA sellers - MQL5 Signals providers - MT4/MT5 Expert Advisor sellers - trade-copier providers - account managers or copy-trade operators - TradingView signal bridge tools - PineConnector / 3Commas / Alertatron-style automation tools - Myfxbook / FXBlue public traders - crypto copy-trade or signal operators - bot agencies or framework/tool builders with many downstream users The goal is not to find a list of famous traders or large accounts. The goal is to find public “pilot targets” where one operator’s adoption of a verifiable receipt/proof layer could be seen by many downstream users, buyers, subscribers, followers, copier clients, or customers. A strong target should have all of the following: 1. Crowd / downstream dependency: One operator’s action affects many people — subscribers, buyers, followers, copiers, users, EA buyers, trade-copier clients, paid group members, or managed accounts. 2. Public reputation surface: The operator/product is publicly judged somewhere — reviews, ratings, marketplace listing, product comments, leaderboard, public performance record, equity curve, support thread, or similar. 3. Visible trust friction: There are public signs of disputes or mistrust — complaints, drawdown blame, “scam” accusations, failed execution claims, signal timing disputes, copied-trade mismatch, slippage complaints, missed/duplicate trades, EA did/didn’t execute complaints, wrong lot/risk-setting arguments, edited-signal accusations, or similar. 4. Clear reason to want a verifiable receipt: A receipt could help prove what was sent, received, decided, executed, rejected, delayed, suppressed, or mismatched. 5. A place where the receipt would actually be shown: For example, a review reply, product comment thread, support thread, subscriber update, public performance page, marketplace dispute, signal page, leaderboard discussion, or public complaint thread. The best target is not necessarily the biggest. The best target is large enough to spread, painful enough to care, honest enough to want proof, and visible enough that other people would see the proof. Deliverable: A ranked shortlist of 10 public targets. For each target, include: 1. Target name / product / operator 2. Category: MQL5 Market seller, MQL5 Signal provider, EA seller, trade copier, copy-trade leader, account manager, Myfxbook trader, FXBlue trader, TradingView signal tool, bot agency, framework/tool builder, etc. 3. Public URL or source location 4. Crowd evidence: buyer count, subscriber count, copier count, followers, reviews, users, clients, public usage, etc. 5. Reputation evidence: rating, reviews, leaderboard rank, public performance, equity curve, product page, comments, etc. 6. Visible trust-friction evidence: direct complaint, review, comment thread, failed execution claim, copied-trade mismatch, drawdown complaint, slippage dispute, “bot didn’t execute” claim, signal-timing dispute, “scam” accusation, etc. 7. Receipt-display surface: where a verifiable receipt would actually be shown if adopted — review reply, support thread, subscriber update, public complaint, marketplace comment, public performance discussion, etc. 8. Why a verifiable receipt/proof layer would matter there 9. What the receipt would need to prove: sent, received, decided, executed, rejected, delayed, suppressed, or mismatched 10. Who would see the receipt if adopted: buyers, subscribers, followers, copier clients, support users, public reviewers, etc. 11. Best outreach angle in their language: 1–3 sentences 12. Adoption likelihood score from 1–10 13. Confidence score from 1–10 Important rules: - Public sources only. - Do not contact anyone on my behalf unless separately authorized. - Do not scrape private groups. - Do not provide private client names. - Do not invent relationships or private access. - Do not provide generic market-size research. - Do not provide a 100-row spreadsheet. - Do not use AI filler. - I want 10 strong targets, not volume. Milestone structure: Milestone 1: Provide 2 sample targets first so I can verify quality. Milestone 2: After approval, complete the full ranked 10-target shortlist. You are a strong fit if you have worked with or deeply understand at least one of these: - MQL5 Market - MQL5 Signals - MT4/MT5 Expert Advisors - EA sellers - trade copiers - signal bridges - TradingView webhook systems - PineConnector / 3Commas / Alertatron-style automation - Myfxbook / FXBlue - copy-trading or account-manager workflows - crypto signal or copy-trade communities - trading bot agencies or trading automation tools You are not a fit if your main experience is generic Web3 marketing, social media, scraping lists, influencer research, or normal B2B lead generation. I am looking for someone who can think like: “I know where EA sellers, signal providers, trade-copier operators, and trading-bot users actually argue.” Not: “I can make a big lead list.”

  • $1,000.00

    Fixed-price
  • Intermediate
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
Forex Trading
Java
Nice-to-have skills
MQL 4
Algorithm Development
Activity on this job
  • Proposals:10 to 15
  • Last viewed by client:2 weeks ago
  • Hires:
    3
  • Interviewing:
    2
  • Invites sent:
    8
  • Unanswered invites:
    0
About the client
Member since Mar 2, 2024
  • USA
    Burlington11:01 AM
  • $28K total spent
    21 hires, 12 active
  • 34 hours

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