Quant-Finance-Resources

Unverified ML strategy on Indices by PyPatel. BotFinder score 18 out of 100.

Courses, Articles and many more which can help beginners or professionals.

Source: github

Explorer/Indices/Quant-Finance-Resources
18
Data index
IndicesMLMedium risk⚠ Unverified

Quant-Finance-Resources

PyPatelGitHub
From
Free
Get this bot
Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
7.2y
BotFinder Analysis

BotFinder analysis pending.

About

Quant-Finance-Resources

Quant-Finance-Resources Courses, Articles and many more which can help beginners or professionals. Finance is mostly details, and just having the ability to systematize and categorize and focus on details can be a huge advantage. by Micheal Burry This resources are specifically meant for STEM grads. Most of the courses are Math or Coding heavy. Take it at your own risk. About me I work as a Quant Trader in High Frequency Trading firm focused on Indian Markets in Equities and F&O. I did my Masters (M.Tech) and Bachelors (B.Tech) from IIT Madras in Automotive Engineering. Courses and Lectures Note: The courses listed below will NOT show any Coursera or Youtube Fams, because those courses are open for all (Anyone can take it, Medical doctor or lawyer can if needed.) I don't want to (or want you to) spend time in these courses because these courses give you a flavor of the subject and not deep understanding. Being an engineer, I want to (wish the same for you) use my already learned mathematics skills to advance further in the topic and dive deep, to do some meaningful work and push the

Open-sourceaialgorithmic-tradingalgorithmsartificial-intelligenceartificial-intelligence-algorithmsartificial-neural-networkslinear-algebramachine-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
PyPatel
Since 2016 · 3 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
Stars1,061
Forks159
Open issues3
Language—
License—
Last update2021-12-17
Created2019-08-12
Alternatives

Similar bots worth comparing

58
ESCQ NAS100 Sweep M2NEW
Publisher's own bot
—
Return
−10.64%
Max DD
-14.24%
PF
0.43
⚠ Publisher Claimed
IndicesMedium
58
ESCQ NAS100 Flip M2NEW
Publisher's own bot
—
Return
−17.94%
Max DD
-23.29%
PF
0.75
⚠ Publisher Claimed
IndicesMedium
58
ESCQ NAS100 Flip M1NEW
Publisher's own bot
—
Return
−21.67%
Max DD
-27.91%
PF
0.81
⚠ Publisher Claimed
IndicesMedium