ForEx

Unverified ML strategy on Forex by Engineering-Geek. BotFinder score 18 out of 100.

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Source: github

Explorer/Forex/ForEx
18
Data index
ForexMLMedium risk⚠ Unverified

ForEx

Engineering-GeekGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
6.5y
BotFinder Analysis

BotFinder analysis pending.

About

ForEx

ForEx This project's primary purpose is to take my savings from co-op/internships and invest them in various markets. This ForEx trading bot will then trade on various platforms and amplify my earnings, and hopefully generate enough cash flow for me to start my own startup. Core workings This bot will consist of X neural networks, where X numbers is being experimented with. I am testing various code inputs ranging from convolutional neural networks to standard pct change inputs. I strongly encourage you to look through my code as this documentation will remain incomplete until I finish the code and have it working. What is here is a dramatic oversimplification of what I'm doing. I have more in-depth documentation within the code. For example, in the convolutional input layer, the bot will see this: and in the traditional percent change input, the model will see something similar to this (just the last column; column E): I am currently working on automating the testing procedures so the model can test various models via Reinforcement learning and show me a visualization of the statist

Jupyter NotebookMITOpen-sourceforex-botforex-dataforex-marketforex-predictionforex-tradingforexconnect-apikeras-tensorflowmachine-learning
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

Reviews

Reviews & comments

No reviews collected from the source yet.

Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
Engineering-Geek
Since 2022 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars33
Forks13
Open issues1
LanguageJupyter Notebook
LicenseMIT
Last update2022-02-17
Created2020-04-28
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