Or the service itself has strategies that you just subscribe to and authorize your trading account with, and it will automatically trade your money.
Are you planning on handing over your money to an algo trading platform?
Maybe you want to subscribe to a strategy or two and make insane returns.
Here's why you shouldn't do it, and save your money instead.
Or the service itself has strategies that you just subscribe to and authorize your trading account with, and it will automatically trade your money.
Let's keep aside the lack of transparency and the total regulatory non-compliance for a moment.
First off, with most of the strategies, the backtests are BOGUS.
Most of them are.
Don't take my word for it. Do your own due diligence.
And, those backtests aren't even for 10+ yrs. Some were done only for months.
- minimum net worth of the company
- qualifications of the fund manager
- minimum number of clients
- minimum amount to start with
and so on, for qualifying people who want to manage other people's money.
- Mutual Funds
- Portfolio Management Service (PMS)
- Alternative Investment Funds (AIF)
There's no LEGAL way to manage other people's money outside of these three structures offered by SEBI.
Most popular one:
- Become a sub broker to a large broker
- Get terminal access
- Add clients
- Place trades for all your clients together
To do this, you should
- Enter into an agreement with the client that you will be investing/trading their account
- Have an Associated Persons SEBI license
Even if you don't take permission for one trade also, that's considered fraud.
But that's how most people operate.
This is not entirely legal and won't be valid if push comes to stove.
Phone call recording + non-automated emails should be legal.
But nobody does that.
This again, is the most popular way with which people who have capital of < 25c operate.
There are things you should do regularly in terms of reporting.
You will definitely need a well-qualified compliance officer also.
Small guys aren't ready to invest in all this overhead.
RIA - Registered Investment Advisor.
It's usually a fixed fee format (although there are some who get a % profit based on agreement).
You take the trades on your own.
Usually does well for long term investing & positional trading.
There are certain limitations as to what an RIA can and can not do.
So many RIAs breach those rules too and act in a grey area.
i) Are their strategy creators SEBI registered?
ii) Is the company's entire modus operandi legal?
iii) How are their backtests vetted?
iv) Are the backtests vetted and verified or anyone can post anything?
i) What are the underlying technical issues people face? (Lots of people have faced execution issues, slippages, etc.)
ii) How are the backtests conducted? (full test, out of sample, walk forward, and then monte-carlo, etc., is required)
For some reason (valid one) I can't see a SEBI registration number on the websites of TradeTron or similar services.
One step further, Tradetron buries this information in their "terms of use" page.
For ex: Is @__paperstreet__ SEBI registered? Nobody knows. Nobody even knows who he is. But so many people are subscribed to his strategy.
Refer to the screenshot below.
i) Screening strategy creators
ii) Screening backtest legitimacy
iii) Screening strategy legitimacy
iv) Making sure creators are SEBI registered and licensed, and that their license/regn hasn't expired.
Most of the strategies are half baked. Looks like people testing something on stockmock for a year or two and creating that as strategy on tradetron to make money.
https://t.co/Z7XJDKF0ep
100% ROI in a year with 10-20% drawdown is possible. But not over a period of 10 years.
Cherry picking a good year and posting that as entire backtest result is dangerous.
visited Tradetron website today and saw so many strategies having ROI of 100% 200% with DD of 10% 15% is it this easy to make money ? or am i missing something ? although i know its possible i thought such strategies are very rare.
— Logical Trader (@TraderLogical) November 21, 2020
https://t.co/nzxW0buQB8
You can see that they have deleted the -ve comments in some strategies.
Last i checked, this strategy had the comments in the screenshot. Currently, I can only see the comment from the Tradetron founder.
— Shravan Venkataraman \U0001f525\U0001f680\U0001f4b0 (@theBuoyantMan) October 25, 2020
Did the comments get deleted? Or did the original commenter delete the comments? Not sure.
But anything with respect to Tradetron, be cautious. https://t.co/n4Bx6Or2gr
Also, if you face huge slippages and execution issues at their end, they can always wash their hands off any responsibility by saying it's an internet/server issue, and show you these terms.
- Grossly misleading backtests
- Backtest / live trades huge discrepancies
- Some accounts blown out
- Backtests done only for few months
- Huge slippage and execution delays
- Loss due to outages
You pick any similar service. You check for the following things.
- SEBI/legal registration/compliance of the company
- SEBI registration of strategy creators
- Backtest methodology
- No of years tested for
- Backtest / Actual live trades differentiation
- How many years backtest was conducted for
- How long the strategy has been active, and what its actual live returns are (after costs)
- Whether backtests are pre/post comms/spread/slippages
Use this as a checklist and protect your downside first by doing your due diligence.
More often these claims are only a bag of farts. You'll be left holding just those.
So, save yourself all the trouble and go SIP in MFs.
Spend a year or two, learn python, backtest different ideas/systems yourself, and automate them.
Amazon EC2 or Azure + Broker's API, code in python and automate your strategies.
https://t.co/OoHznZbfTI
Ignore the first and last 20-25 mins (about me in the intro, and about my course and the QNA in the outro) and watch the remaining 3 hours, for a head start.
https://t.co/NjMM50AOE4
More from Shravan Venkataraman 🔥🚀💰
** MEGA THREAD ON Cryptocurrencies/Blockchain**
I wanted to know the best resources to learn about cryptocurrencies and blockchain for someone with zero knowledge. I asked Twitter, and Twitter answered.
This thread is a compilation of the best resources I was recommended. 👇👇
Let's start with ** BOOKS **
The first thing you should do before you pick up any book:
Learn about Bitcoin & Ethereum by reading the respective whitepapers.
- [Bitcoin white paper](https://t.co/cErOaFn6QL) by Satoshi Nakamoto
- [Ethereum White paper] (https://t.co/0g5kYCGJGq) by Vitalik Buterin
Even if you are not tech savvy, you can get a good grasp about how blockchain functions from these papers.
1) *The Basics of Bitcoins and Blockchains: An Introduction to Cryptocurrencies and the Technology that Powers Them* by Antony Lewis
This book covers topics such as the history of Bitcoin, the Bitcoin blockchain, and Bitcoin buying, selling, and mining.
It also answers how payments are made and how transactions are kept secure.
Other cryptocurrencies and cryptocurrency pricing are examined, answering how one puts a value on cryptocurrencies and digital tokens.
I wanted to know the best resources to learn about cryptocurrencies and blockchain for someone with zero knowledge. I asked Twitter, and Twitter answered.
This thread is a compilation of the best resources I was recommended. 👇👇
Let's start with ** BOOKS **
The first thing you should do before you pick up any book:
Learn about Bitcoin & Ethereum by reading the respective whitepapers.
- [Bitcoin white paper](https://t.co/cErOaFn6QL) by Satoshi Nakamoto
- [Ethereum White paper] (https://t.co/0g5kYCGJGq) by Vitalik Buterin
Even if you are not tech savvy, you can get a good grasp about how blockchain functions from these papers.
1) *The Basics of Bitcoins and Blockchains: An Introduction to Cryptocurrencies and the Technology that Powers Them* by Antony Lewis
This book covers topics such as the history of Bitcoin, the Bitcoin blockchain, and Bitcoin buying, selling, and mining.
It also answers how payments are made and how transactions are kept secure.
Other cryptocurrencies and cryptocurrency pricing are examined, answering how one puts a value on cryptocurrencies and digital tokens.
Hedge Funds spend millions of dollars per year to access high quality financial datasets.
Retail sources cost anywhere from $5k-50k per year.
But, here are 11 data sources that have HIGH QUALITY and FREE data you can access right away.
🧵 👇
1/ Alpha Vantage | https://t.co/ExlS7Jdnsz
Provides real time & historical equities, forex, and cryptocurrencies data across 60+ exchanges.
They provide both intraday and D/W/M timeframe data.
You can also access economic & fundamental data for last 20 years through them.
2/ IEX | https://t.co/drqeoU8Ee1
Investors Exchange provides historical data going back upto 15 years for US equities through API access.
You'll need an API key in order to access the API.
3/ EconDB | https://t.co/6mZxDeaJfh
This website provides economic data and economic indicators for almost all the countries in the world.
You can search for your preferred dataset through their search engine here
4/ Quandl | https://t.co/fW4PEQaW66
Quandl has financial and alternate data across 50+ exchanges, from over 300 sources.
They also have information on capital markets, energy, shipping, healthcare, education, demography, economics and society.
Retail sources cost anywhere from $5k-50k per year.
But, here are 11 data sources that have HIGH QUALITY and FREE data you can access right away.
🧵 👇
1/ Alpha Vantage | https://t.co/ExlS7Jdnsz
Provides real time & historical equities, forex, and cryptocurrencies data across 60+ exchanges.
They provide both intraday and D/W/M timeframe data.
You can also access economic & fundamental data for last 20 years through them.
2/ IEX | https://t.co/drqeoU8Ee1
Investors Exchange provides historical data going back upto 15 years for US equities through API access.
You'll need an API key in order to access the API.
3/ EconDB | https://t.co/6mZxDeaJfh
This website provides economic data and economic indicators for almost all the countries in the world.
You can search for your preferred dataset through their search engine here
4/ Quandl | https://t.co/fW4PEQaW66
Quandl has financial and alternate data across 50+ exchanges, from over 300 sources.
They also have information on capital markets, energy, shipping, healthcare, education, demography, economics and society.
More from Trading
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.