Unlock Bullet-Proof Edge In Your Trading In 30 Days.
97% Of Traders Don't Know How To Use & Gather Data, Leaving Them With Unprofitable Strategies
How To Backtest Bootcamp has helped 59+ traders understand & apply the fundamentals of backtesting and data in their trading.But unlike other trading courses, it's not just theory - you'll get access to 15+ Python template codes to pull data with no coding experience, learn the A to Z of testing strategies to acquire the skill of backtesting and leave with a new perspective on trading using data.
Supported By
Whether you have been trading for only a few months or have a decade of discretionary experience under your belt, this bootcamp is suitable for for traders at any point in their journey.
What Do The Members Say?
Victor has traded for 6 years giving him a ton of experience, but he lacked the skill to effectively use data.Without knowing how to actually apply your data, your spreadsheet is useless.By joining the bootcamp he transformed his approach. Leveraging data, testing strategies, & refining his methods amplified his conviction leading to real trading profits.
" I had some data with results but i didn't know how to apply it. In the bootcamp, we went over many things that made it click inside of my mind and I started to apply it immediately, making a big impact in my trading. "- Victor Cruz, @victorinox95
Victor's Results Since Applying Data.
" I've experienced a lot of emotional distress when it comes to small caps. Now I can put on a trade and trust the numbers instead of my intuition. "- Anh Pham, @100TProject
Anh used to track all his data by hand, unwilling to invest in costly software alternatives.But after months of work & ending up with only 100 samples, he decided to join the bootcamp.He now can pull 1000s of samples within hours, gaining insight into the stats of his strategy & confidently executing trades using data saving him months of work.
Jacob's conviction in his trading was obstructed by the lack of data proving his strategy had edge.He didn't want to waste money and time on a strategy with no edge, but lacked the skills to locate a systematic edge.He joined the bootcamp and can now extract, analyze and apply data to create strategies using data with a potential algo in the works.
" Incredibly impactful for the people who apply everything in the bootcamp, I no longer waste money and time on bad strategies. "- Jacob Faircloth, @JacobFairstock
" The education in the bootcamp has been great, but for me the code alone is more than worth the cost. With my limited python knowledge I have been able to download data and even make my own adaptations to the code. "- Max, @quantviz
Max, like many traders juggles a full-time job & trading. He struggled pulling accurate & useful data to backtest his strategies.Even with his limited python knowledge & countless tutorials he was still stuck.2 weeks into the bootcamp, Max pulled clean & accurate data using the templates & even made his own adaptations to the code.
Alphadillo entered the bootcamp with limited awareness of the abundance of uses for data for trading, believing charts were sufficient for backtesting.Since joining, Alphadillo gained immense clarity in his backtesting as the data filled the gap in his trading he wished he could've seen before.Using data to create black and white statistics, he managed to triple the confidence in his trading strategies in just 4 weeks.
" I saw looking at charts as backtesting. Since the bootcamp, it has shown me the power of leveraging data and how much I didn't know. This has been an eye opening experience for me. "- Alphadillo, @alphadillo5
" This is the best program I have been a part of and its amazing how helpful you are during the process. Thanks! "- Hirst, @HirstHolloway
Over 2 years, Hirst has suffered from low confidence & problems with his entries & exits since he hand tracked all his data.After joining the bootcamp, he used the code templates to pull years of data & acquired the skill of how to use & apply it in the best ways while avoiding biases that could destroy his backtests.Only a few weeks in, Hirst now consistently gets better entries for his strategy now that he has data backing his trading.
Suffering from a lack of confidence and consistency, Lew wanted to build a strategy based on historical data. But didn't know where to start resulting in him joining the Bootcamp.During the May Bootcamp, he was able to create a strategy with a 200%+ return & 50%+ win rate.LewTrades now has what he came for, a strategy using data with a positive skew to reach long term success in his trading.
" In the bootcamp I have found a way to filter out the trades I know are statistically less profitable and likely to help me succeed in the long run and focus and refine the ones that will. "- LewTrades
" I started trading 2 years years ago & have been bleeding my account slowly but steadily since, then I joined the bootcamp back on April 30th & since then I've improved my trading dramatically.I used to track on a daily basis all the D1 & multiday runners on an Excel sheet manually, but since joining the bootcamp, I learned so much about backtesting in a more efficient way with all the tools you provide.Honestly I'm still amazed with all the things I can do with everything you teach us in the bootcamp, an amazing world full of opportunities opened to me!here you have my equity curve since starting the bootcamp: "
- Charles V
Lost as to where to start, Christian found it hard to conduct any proper backtests using manual data.He didn't want to keep tracking manually only to stop updating Excel after a few weeks of trying.After joining he's found the place to develop & practice his backtesting skills, & can really see how visualizing data is already increasing his trading confidence.
" I always felt like a person that had to work twice as hard to get a grasp on concepts, but the bootcamp did a very great job making it easy to comprehend. "- Christian, @C4__CHRISTIAN
" I feel confident in leveraging data from polygon.io, the templates from the bootcamp have been nothing but amazing. The templates have cut years off my journey. "- Chris
As someone new to trading, Chris was clueless on the basic ideas / theories / terms of backtesting strategies.Realizing he could save time & frustration if he could discover an edge from an all-inclusive bootcamp, the backtest bootcamp did just that.Since joining, Chris is confident in leveraging data for his trading; built his own backtesting code & feels that the bootcamp shaved years off of learning & mistakes traders make in pursuit of profitability.
Stuck wasting time manually gathering historical data, Leo wanted a way to do it quicker and better.With the bootcamp, he created a dataset dashboard that helped him test different exit strategies- which helped him cut off unprofitable trades and improve his exit strategies as a whole.With newfound confidence and understanding, Leo has found how to improve the reliability of his backtests to better his trading.
" I feel like I now have more confidence in testing parameters, and the results of my backtests have more real world meaning for me within my trading. "- Leo McCallin, @Leo_Trades
Leo's Dataset Dashboard (Excel)
Kei's Dashboard (Excel)
Finding an edge can be an overwhelming task and no one knows that better than Kei,He struggled for months trying to find how to get intraday data, how to backtest, how to apply data in trading.Joining the bootcamp helped him overcome all of these challenges,Leading him to develop more precise entries and exits in his trading in only 30 days.
" With your help I finally started with the systematic approach. My setups are now much more precise and concrete. "- Kei
Like many traders before him, JB experienced difficulties with conviction in his trading.The bootcamp was the perfect place for JB to learn how to use the data he needs for his trading.Before, he knew nothing of backtesting and how to apply or even understand data to help his trading.Today, JB pulls his own data and charts, and has full conviction in his knowledge on how to completely analyze and implement it to his trades.
" Proud of making the choice to join the bootcamp. Had no knowledge at all of how to backtest and this is the best investment I have made for my trading. "- JB23
Member created backtest equity curve w/ stat | May cohort
Why You Should Backtest
Evaluate
Backtesting allows you to evaluate the effectiveness of your trading strategy / idea over time by using historical data and testing your strategy against it.Without this you are trading strategies without the confidence of statistical / historical proof of working.
Become Objective
Backtesting makes you become more objective in your trading. When you rely solely on visual intuition or "gut feelings," it's easy to fall into the trap of confirmation bias or other cognitive biases.Backtesting removes emotion & impulse from the equation as you rely on data-driven edge instead to guide your trading decisions.
Optimize
Backtesting lets you optimize and practically identify areas for improvement in your trading strategies / ideas.Without this, it can be very challenging to see the weaknesses of a strategy until your personal account equity faces it.
Member created data dashboard | May cohort
Is The Bootcamp Right For You ?
Stuck Manually Tracking?
You spend hours after close inputting different data points while gradually falling asleep & accidentally typing another 0.But you know there must be a more efficient method of doing this.
Tons Of Data But No Idea How To Apply It To Your Trading?
Thousands of columns of different tickers & trades but every time you try and analyze, you're more confused on how it can be used in your daily trading.You know data is important, but lack the knowledge to use it effectively.
Are You Suffering From Low Conviction In Your Strategy's Edge?
Every time you see a trade, you hesitate to take it. When it works you know you should've taken it, when it doesn't you thank yourself for not taking it.However, you know this isn't how you should be trading your edge.
Stuck Writing Code To Extract Data?
Ever found yourself stuck watching countless tutorials on how to pull data from various providers or use backtesting libraries?You know its possible, & with your limited or lack of Python knowledge, you've come close, but haven't got it to run.
If you say yes to any of these, How To Backtest Bootcamp was designed for you.
To support our claim, the end-of-bootcamp survey demonstrated a 100% success rate among members in resolving those problems.
How To Backtest Bootcamp Survey (July 2023)
Monte Carlo resample
Member created Monte Carlo simulations | May cohort
Monte Carlo reshuffle
The Blueprint
November rerun call availability: 1st Nov, 2023 - 30th Nov, 2023
| Code Template Library 📚 15+ pre-built backtesting code templates on day 1 divided into strategy & data collection. Eliminating the need for manual tracking & creating more time for edge discovery. |
| Guides 📖 Step-by-step video & document guides walkthrough how the code templates function (+ how to install everything), enabling you to modify or use them as is. Eliminating the confusion of using code for trading. |
| Using Data🔬 In-depth content on how to analyze and apply data in various markets and frameworks. Showing you how to leverage data to improve your trading. |
| Video Library 📹 15+ topic videos covering data, best practices, data analysis & thinking in code. From beginner to advanced video format content. |
| Data Visualization 📊 Understanding how to use visualization to spot new ideas and patterns in data. Erasing data overload. |
| Data Visualization 📊 Understanding how to use visualization to spot new ideas and patterns in data. Erasing data overload. |
| Excel Guide 📝 Step-by-step guide on creating & customizing a personalized dashboard to help analyze large datasets just like mine. |
| Bonus Algo 🤖 Bonus Ninjatrader futures algo introduces you to how algos are built. Gain Valuable Insight into the Art of Building Successful Trading Algos. |
| Future Additions 🗝️ Alumni retain access to additional content added to the Bootcamp . You'll also be able to suggest extra content you would like added to the Bootcamp For Free. |
| Reflective Checkpoints 🏁 You'll be able to assess your level of progress and note down your overall experience to track your advancement. |
Preview Of Content
LIFETIME ACCESS TO ALL CONTENT
Member created backtest equity curve | May cohort
What's Inside The Bootcamp
* All content is recorded or written, there are NO LIVE SESSIONS. This structure is fit around
the 1-1 bootcamp calls that happen during the month and are simply to help you structure your progress of learning around your schedule.
15+ Python template codes to pull and backtest data on various common strategies for large caps and small caps with no coding experience needed.Code Templates Included: Pull historical charts - Pull day 2 - Pull earning data - Pull first red day - Pull Multiday (2 versions) - Pull Parabolic - Backtest Day 1 + Day 2 gappers - COT dashboard - Backtest Large cap long strategy - Backtest Parabolic tickers - Backtest Small cap long strategy and many more.
The A-to-Z process of how to backtest, from what is a backtest and how to do simple things like manual tracking to more complex parts like Monte Carlo simulations, parameter sensitivity testing, and applying data and weighing different parameters.
How to apply data into different markets with a primary focus on small caps, plus how applying data in small caps and large caps differ.You'll also be introduced how to add data into your trading from being fully discretionary to 50% systematic to fully systematic.
How to use Excel to analyze big data sets using custom formulas to create an intuitive and fast dashboard so you can find statistics that can actually help your real-time trading.
How to visualize data yourself to spot new ideas and patterns in data you gather using the pre-made code templates. To better understand potential correlations between variables and key statistics.
Member created backtest equity curve w/ stat | May cohort
Value comparison
Backtest Bootcamp
$5,000 worth of pre-built code templates
Clear step by step video & document guides for all code templates
Understand how you can use data to directly improve your trading setups
Personal 1-1 guidance with direct chat & calls
In-depth content on leveraging data in not just small caps but large caps & futures
Alternatives
Only provide a data download for $3,000
No personalization available
No guidance for backtesting & data application
No resources for data analysis
Monte Carlo resample
Member created Monte Carlo simulations | May cohort
Monte Carlo reshuffle
BOOTCAMP IS OFFICIALLY Closed!
1st Of November - Full
Beginner to Veteran traders all welcome.
Over $5000 Worth Of Value.
• 15+ pre-built backtesting code templates divided into strategy & data collection.
•Walkthrough guides - Video & document step-by-step guides
•Data analysis - Video & PDF content on how to analyze & apply data.
•15+ topical content covering data, best practices, & data analysis.
•You are taught how to visualize data to spot new ideas and patterns in data.
•Excel Guides - Step-by-step video guides on how to create and customize a dashboard just like mine.
•1-1 Call support - Two 1-1 calls during the bootcamp & each once per month each quarter.
•Bonus Ninjatrader futures algo example.
•Retain lifetime access, all members are encouraged to suggest what more they want to see added to the bootcamp.
•Track your progress with reflective checkpoints.
Who's Your Guide?
A little about me; I run my business specializing in helping traders develop backtesting, custom data collection code, & algo trading strategies. I pride myself on my dedication to my clients & wider community. I cater to various markets such as large-cap stocks, small-cap stocks, & futures, with the goal of providing traders the tools they need to make informed decisions & optimize their trading strategies.
My areas of expertise:
Backtesting Solutions
Custom Data Collection Code
Algorithmic Trading Solutions
Track Record:
Over 90 Successful Projects: With 90+ completed projects for my clients, I've been able to discover all the difficulties & nuances traders face when backtesting.
8 Client Algorithms: This has allowed me to see time & time again, the process of taking an idea from a backtest to deploying a strategy live.
3 In-house Algorithms: Beyond my work with clients, I also run 3 of my own proprietary trading algorithms, which have taught me so much of what I share in the Bootcamp.
Markets:
Large-Cap Stocks: I've been exposed to trading large cap strategies such as using earning data, earnings gap, ticker specific strategies, etc.
Small-Cap Stocks: This is my bread & butter, what I spent my first 2 years purely dedicated to & have employed data the most in this market.
Futures: My experiences in futures have been an exponential journey from messing around on evaluation accounts to taking a strategy live 8 months later and horribly failing. But I have worked through it & and I'm grateful to have 2 profitable algos running currently.
Want to learn more about me: Check out the episode below
Why Am I Doing This Bootcamp?
In my journey talking to the trading community, I've encountered numerous individuals eager to learn about backtesting. Time and again, they have reached out to me via tweets and messages, inquiring if I offer a course on backtesting or if I could recommend resources to help them master this invaluable skill.
Occasionally, I post free content about systematic trading and backtesting which I'm glad people find valuable, but the workshops tend to be a one and done job. I wanted my content to be able to be revisited at any time. So a big purpose of the bootcamp is to be a big hub of all my backtesting knowledge in one place, so traders can learn everything that I learned over the years in a matter of weeks.
I am always on the lookout for opportunities to contribute and share the knowledge I have gained over time. Driven by my commitment to give back to the community, from which i have learnt so much, I realized that organizing an intensive bootcamp for those keen on learning backtesting / applying data would be the most effective and valuable way to share my experience and knowledge, rather than offering disjointed snippets of information scattered across various platforms.
© UnbiasedTrading. All rights reserved.The information provided in the How To Backtest Bootcamp is for educational and informational purposes only. It does not constitute financial advice and should not be relied upon as such. The Bootcamp is not intended to provide specific financial or investment advice, and it is not a substitute for independent financial advice.The Bootcamp is not tailored to the specific circumstances of any individual or entity, and the information provided may not be suitable for your particular needs or circumstances. Any decisions you make based on the information provided in the Bootcamp are made at your own risk.The Bootcamp is provided without any warranties or representations, express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, or non-infringement of intellectual property.