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Part Time Larry

active · last success 2026-06-19 22:48

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  • Part Time Larry youtube.com channel data-science video youtube 2026-01-24 15:30
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    In this video, we discuss Jonathan Becker's blog post entitled "The Microstructure of Wealth Transfer", which analyzed over 72 million Kalshi trades. Blog Post: https://www.jbecker.dev/research/prediction-market-microstructure Github:...

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    In this video, we discuss Jonathan Becker's blog post entitled "The Microstructure of Wealth Transfer", which analyzed over 72 million Kalshi trades. Blog Post: https://www.jbecker.dev/research/prediction-market-microstructure Github: https://github.com/jon-becker/prediction-market-analysis My writeup / mailing list: https://hackingthemarkets.com/why-kalshi-takers-lose-money-72m-trades-analyzed/ 0:00 Becker Blog post 1:22 Longshot Bias 5:37 Makers and Takers 7:51 Yogi Berra Bias: “It Ain’t Over Til it’s Over” 10:43 The Optimism Tax / Default Bias 12:01 Emotional Categories 13:13 Black Swans and the occasional longshot 14:17 The “Nothing Ever Happens” Strategy
  • Part Time Larry youtube.com channel data-science video youtube 2026-01-18 19:18
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    In this video, I go over the anatomy of a Kalshi prediction market bot in Python and run it during an NFL playoff game. Writeup / Mailing List (free with email) https://hackingthemarkets.com/anatomy-of-a-kalshi-nfl-trading-bot/ Timestamps 0:00 Quick preview of ESPN API vs. TV...

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    In this video, I go over the anatomy of a Kalshi prediction market bot in Python and run it during an NFL playoff game. Writeup / Mailing List (free with email) https://hackingthemarkets.com/anatomy-of-a-kalshi-nfl-trading-bot/ Timestamps 0:00 Quick preview of ESPN API vs. TV Stream 0:46 Parsing play-by-play JSON and win probability spikes 2:02 Seahawks vs. 49ers Gamecast 3:04 Who is first? 4:55 Code / file structure 6:26 ESPN Unofficial Public API 9:39 Bot Architecture 10:43 Code…does anyone care? 11:36 Find NFL Game Tickers Script 12:27 Environment variables 13:04 ESPN Client / Poller 13:20 Kalshi Websocket Client / Real-Time Odds 13:54 Spike in odds, long pause before it is reflected on TV stream 15:16 Small spike + not fast enough + fees = no profit 16:37 Data Latency Hierarchy 17:37 Is this useless? 18:10 Economics category? Trading different asset classes? 18:56 Should I do Kalshi coding tutorials?
  • Part Time Larry youtube.com channel data-science video youtube 2025-12-13 17:32
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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Writeup and Source Code (Free with Email)...

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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Writeup and Source Code (Free with Email) https://hackingthemarkets.com/full-stack-ibkr-api-4-4-tradingview-webhooks/ Table of Contents 0:00 Intro 1:08 What we’re building 1:43 Trade Logger, Database Connection 5:51 Webhook Endpoint 10:51 Tradelog Endpoint, Querying Tradelog 13:12 Testing the Webhook with curl / CLI 14:46 Tradelog Frontend 16:13 TradingView Webhook Alert Configuration 18:20 Testing on localhost, using ngrok, passphrase 21:05 End to End TradingView webhook test --- Disclosures This content is provided by a paid Influencer of Interactive Brokers. Influencer is not employed by, partnered with, or otherwise affiliated with Interactive Brokers in any additional fashion. This content represents the opinions of Influencer, which are not necessarily shared by Interactive Brokers. The experiences of the Influencer may not be representative of other customers, and nothing within this content is a guarantee of future performance or success. None of the information contained herein constitutes a recommendation, promotion, offer, or solicitation of an offer by Interactive Brokers to buy, sell or hold any security, financial product or instrument or to engage in any specific investment strategy. Investment involves risks. Investors should obtain their own independent financial advice and understand the risks associated with investment products and services before making investment decisions. Risk disclosure statements can be found on the Interactive Brokers website. Interactive Brokers is a FINRA registered broker and SIPC member, as well as a National Futures Association registered Futures Commission Merchant. Interactive Brokers provides execution and clearing services to its customers. For more information regarding Interactive Brokers or any Interactive Brokers products or services referred to in this video, please visit www.interactivebrokers.com. The projections or other information regarding the likelihood of various investment outcomes generated by the Tools mentioned in this video are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. It is important to understand that these projections are based on certain assumptions and models, and actual outcomes may differ significantly. Please note that results may vary over time. Any trading symbols, entities or investment products displayed or named in this podcast are for illustrative purposes only and are not intended to portray recommendations. The examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading. Any discussion or mention of an ETF is not to be construed as a recommendation, promotion or solicitation. All investors should review and consider associated investment risks, charges and expenses of the investment company or fund prior to investing. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.
  • Part Time Larry youtube.com channel data-science video youtube 2025-12-05 16:02
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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Writeup and Source Code (Free with Email):...

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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Writeup and Source Code (Free with Email): https://hackingthemarkets.com/full-stack-ibkr-api-3-4-web-based-market-scanner/ Timestamps 0:00 Recap of Part 1 and 2 0:22 Scanner Demo 1:59 Article / Source Code 2:26 Scanner API / Router Code 7:23 Scanner Frontend Template 8:10 Scanner JavaScript 9:05 Copy / Paste Blocks vs. Line by Line 9:44 Flow in the JavaScript Console 10:30 Finviz Charts 11:06 Updating StyleSheet 11:21 Webhooks, Trading Log, Database -- Disclosures This content is provided by a paid Influencer of Interactive Brokers. Influencer is not employed by, partnered with, or otherwise affiliated with Interactive Brokers in any additional fashion. This content represents the opinions of Influencer, which are not necessarily shared by Interactive Brokers. The experiences of the Influencer may not be representative of other customers, and nothing within this content is a guarantee of future performance or success. None of the information contained herein constitutes a recommendation, promotion, offer, or solicitation of an offer by Interactive Brokers to buy, sell or hold any security, financial product or instrument or to engage in any specific investment strategy. Investment involves risks. Investors should obtain their own independent financial advice and understand the risks associated with investment products and services before making investment decisions. Risk disclosure statements can be found on the Interactive Brokers website. Interactive Brokers is a FINRA registered broker and SIPC member, as well as a National Futures Association registered Futures Commission Merchant. Interactive Brokers provides execution and clearing services to its customers. For more information regarding Interactive Brokers or any Interactive Brokers products or services referred to in this video, please visit www.interactivebrokers.com. The projections or other information regarding the likelihood of various investment outcomes generated by the Tools mentioned in this video are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. It is important to understand that these projections are based on certain assumptions and models, and actual outcomes may differ significantly. Please note that results may vary over time. Any trading symbols, entities or investment products displayed or named in this podcast are for illustrative purposes only and are not intended to portray recommendations. The examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading. Any discussion or mention of an ETF is not to be construed as a recommendation, promotion or solicitation. All investors should review and consider associated investment risks, charges and expenses of the investment company or fund prior to investing. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.
  • Part Time Larry youtube.com channel data-science video youtube 2025-12-04 16:12
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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Full Writeup and Source Code (Free with Email):...

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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Full Writeup and Source Code (Free with Email): https://hackingthemarkets.com/ibkr-real-time-data-sse-and-tradingview-charts/ Timestamps 0:00 Recap of the last video 0:43 Demo: Real-Time Data in the browser 1:02 What is SSE? Server-Sent Event data flow 1:26 Demo: SSE with CLI command 3:31 Adding a subscribe endpoint to the charts router 5:20 ChartState object, request real-time bars 8:03 Processing the bar data 12:25 Adding a stream endpoint, EventSourceResponse 14:11 Testing streaming from the command line / curl 14:52 Frontend, streaming data to the browser 16:08 EventSource in JavaScript 18:04 Testing in the browser 18:47 What’s Next - Adding a Market Scanner -- Disclosures This content is provided by a paid Influencer of Interactive Brokers. Influencer is not employed by, partnered with, or otherwise affiliated with Interactive Brokers in any additional fashion. This content represents the opinions of Influencer, which are not necessarily shared by Interactive Brokers. The experiences of the Influencer may not be representative of other customers, and nothing within this content is a guarantee of future performance or success. None of the information contained herein constitutes a recommendation, promotion, offer, or solicitation of an offer by Interactive Brokers to buy, sell or hold any security, financial product or instrument or to engage in any specific investment strategy. Investment involves risks. Investors should obtain their own independent financial advice and understand the risks associated with investment products and services before making investment decisions. Risk disclosure statements can be found on the Interactive Brokers website. Interactive Brokers is a FINRA registered broker and SIPC member, as well as a National Futures Association registered Futures Commission Merchant. Interactive Brokers provides execution and clearing services to its customers. For more information regarding Interactive Brokers or any Interactive Brokers products or services referred to in this video, please visit www.interactivebrokers.com. The projections or other information regarding the likelihood of various investment outcomes generated by the Tools mentioned in this video are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. It is important to understand that these projections are based on certain assumptions and models, and actual outcomes may differ significantly. Please note that results may vary over time. Any trading symbols, entities or investment products displayed or named in this podcast are for illustrative purposes only and are not intended to portray recommendations. The examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading. Any discussion or mention of an ETF is not to be construed as a recommendation, promotion or solicitation. All investors should review and consider associated investment risks, charges and expenses of the investment company or fund prior to investing. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.
  • Part Time Larry youtube.com channel data-science video youtube 2025-11-29 17:13
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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Full Source Code and Writeup (free with email):...

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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Full Source Code and Writeup (free with email): https://hackingthemarkets.com/real-time-tradingview-charts/ Timestamps 0:00 Recap of command-line IBKR scripts 0:36 Dashboard with TradingView Lightweight Charts 1:44 Demo: Lightweight Charts IBKR Integration 2:05 Subscribing to SSE and Streaming Updates 2:24 Demo: Web-based Market Scanner 3:31 Demo: TradingView webhooks integration 5:07 Demo: Trade Log screen 6:20 Starting out, getting the code 6:53 Prerequisites, supporting the channel 7:50 Project files / directory structure 9:05 Python packages, requirements, dependencies 10:58 Creating the directories / files 11:57 FastAPI Lifespan Events 13:30 FastAPI main.py code walkthrough 15:21 Dependency injection, single IBKR connection 16:23 Charts router walkthrough, backend endpoints 19:28 Frontend templates, layout, index 21:33 Running the server 22:05 Data flow from frontend to backend 23:35 Raw data from history endpoint 24:17 Rendering datapoints on LightWeight Charts 25:24 Wrapping Up, What’s Next? -- Disclosures This content is provided by a paid Influencer of Interactive Brokers. Influencer is not employed by, partnered with, or otherwise affiliated with Interactive Brokers in any additional fashion. This content represents the opinions of Influencer, which are not necessarily shared by Interactive Brokers. The experiences of the Influencer may not be representative of other customers, and nothing within this content is a guarantee of future performance or success. None of the information contained herein constitutes a recommendation, promotion, offer, or solicitation of an offer by Interactive Brokers to buy, sell or hold any security, financial product or instrument or to engage in any specific investment strategy. Investment involves risks. Investors should obtain their own independent financial advice and understand the risks associated with investment products and services before making investment decisions. Risk disclosure statements can be found on the Interactive Brokers website. Interactive Brokers is a FINRA registered broker and SIPC member, as well as a National Futures Association registered Futures Commission Merchant. Interactive Brokers provides execution and clearing services to its customers. For more information regarding Interactive Brokers or any Interactive Brokers products or services referred to in this video, please visit www.interactivebrokers.com. The projections or other information regarding the likelihood of various investment outcomes generated by the Tools mentioned in this video are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. It is important to understand that these projections are based on certain assumptions and models, and actual outcomes may differ significantly. Please note that results may vary over time. Any trading symbols, entities or investment products displayed or named in this podcast are for illustrative purposes only and are not intended to portray recommendations. The examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading. Any discussion or mention of an ETF is not to be construed as a recommendation, promotion or solicitation. All investors should review and consider associated investment risks, charges and expenses of the investment company or fund prior to investing. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.
  • Part Time Larry youtube.com channel data-science video youtube 2025-08-23 15:37
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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Source Code and Written Tutorial: https://hackingthemarkets.com/ibkr-scanners/ Timestamps 0:00...

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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Source Code and Written Tutorial: https://hackingthemarkets.com/ibkr-scanners/ Timestamps 0:00 Overview, Stocks in Play 0:46 What We’re Building - Market Scanner 1:13 Scanner Presets 1:47 Combining the Scanner with Order Placement 2:34 Code + Written Tutorial, Support the Channel 2:54 Prerequisites (Python Environment, IBKR) 3:50 Basic Scanner (High Open Gap) with IBKR API and Python 6:41 Multiple Clients, Real-Time Chart Webapp Preview 7:55 Running the Scanner 9:37 Weaknesses - small cap illiquid stocks, no calculations 10:16 Calculating gap percentage, async version 12:28 Filtering by market cap, above X price, high volume 15:14 “Gap and Go” filter, stocks up by X percent after open 16:43 Apple, intraday movement calculation 17:35 Getting all available scans and filters 19:45 Creating your own custom named scanner library 20:45 Future Content: Web Charting, FastAPI, Trade Log, Webhooks --- Disclosures This content is provided by a paid Influencer of Interactive Brokers. Influencer is not employed by, partnered with, or otherwise affiliated with Interactive Brokers in any additional fashion. This content represents the opinions of Influencer, which are not necessarily shared by Interactive Brokers. The experiences of the Influencer may not be representative of other customers, and nothing within this content is a guarantee of future performance or success. None of the information contained herein constitutes a recommendation, promotion, offer, or solicitation of an offer by Interactive Brokers to buy, sell or hold any security, financial product or instrument or to engage in any specific investment strategy. Investment involves risks. Investors should obtain their own independent financial advice and understand the risks associated with investment products and services before making investment decisions. Risk disclosure statements can be found on the Interactive Brokers website. Interactive Brokers is a FINRA registered broker and SIPC member, as well as a National Futures Association registered Futures Commission Merchant. Interactive Brokers provides execution and clearing services to its customers. For more information regarding Interactive Brokers or any Interactive Brokers products or services referred to in this video, please visit www.interactivebrokers.com. The projections or other information regarding the likelihood of various investment outcomes generated by the Tools mentioned in this video are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. It is important to understand that these projections are based on certain assumptions and models, and actual outcomes may differ significantly. Please note that results may vary over time. Any trading symbols, entities or investment products displayed or named in this podcast are for illustrative purposes only and are not intended to portray recommendations. The examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading. Any discussion or mention of an ETF is not to be construed as a recommendation, promotion or solicitation. All investors should review and consider associated investment risks, charges and expenses of the investment company or fund prior to investing. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.
  • Part Time Larry youtube.com channel data-science video youtube 2025-08-09 15:53
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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 In this series, I show you how to code the opening range breakout strategy with ib_async: a Python...

    ▶ Watch on YouTube Opens in a new tab
    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 In this series, I show you how to code the opening range breakout strategy with ib_async: a Python library designed to simplify coding with the Interactive Brokers API. Timestamps 0:00 Overview 0:32 Where we left off 1:25 What we’ll be adding 2:41 Where you can get the code 3:03 IBKR link that supports the channel 3:24 Fetch opening range bars for 9:30-9:45, multiple symbols 7:09 Calculating opening range from bar data 12:05 Monitor breakout coroutine 13:52 Request real-time 5 second bars 15:03 Registering an on_bar callback function 17:01 Running the monitor coroutines 18:51 Determining when price crosses above the opening range 24:39 Adding a breakout handler when a condition occurs 25:42 Handler function 1: Logging to a file 26:16 Handler function 2: Placing an order 28:23 Calling the handlers 31:06 Confirming order fills in paper trading account 31:47 Other considerations, scheduling, delays 33:34 Wrapping Up ---- Disclosures: This content is provided by a paid Influencer of Interactive Brokers. Influencer is not employed by, partnered with, or otherwise affiliated with Interactive Brokers in any additional fashion. This content represents the opinions of Influencer, which are not necessarily shared by Interactive Brokers. The experiences of the Influencer may not be representative of other customers, and nothing within this content is a guarantee of future performance or success. None of the information contained herein constitutes a recommendation, promotion, offer, or solicitation of an offer by Interactive Brokers to buy, sell or hold any security, financial product or instrument or to engage in any specific investment strategy. Investment involves risks. Investors should obtain their own independent financial advice and understand the risks associated with investment products and services before making investment decisions. Risk disclosure statements can be found on the Interactive Brokers website. Interactive Brokers is a FINRA registered broker and SIPC member, as well as a National Futures Association registered Futures Commission Merchant. Interactive Brokers provides execution and clearing services to its customers. For more information regarding Interactive Brokers or any Interactive Brokers products or services referred to in this video, please visit www.interactivebrokers.com. The projections or other information regarding the likelihood of various investment outcomes generated by the Tools mentioned in this video are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. It is important to understand that these projections are based on certain assumptions and models, and actual outcomes may differ significantly. Please note that results may vary over time. Any trading symbols, entities or investment products displayed or named in this podcast are for illustrative purposes only and are not intended to portray recommendations. The examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading.
  • Part Time Larry youtube.com channel data-science video youtube 2025-07-27 14:38
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    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Source Code and Written Tutorial: https://hackingthemarkets.com/understanding-asyncio/ In this...

    ▶ Watch on YouTube Opens in a new tab
    Like the video? Support my content by checking out Interactive Brokers using the link below: https://www.interactivebrokers.com/mkt/?src=ptlPY1&url=%2Fen%2Findex.php%3Ff%3D1338 Source Code and Written Tutorial: https://hackingthemarkets.com/understanding-asyncio/ In this series, I show you how to use ib_async: a Python library designed to simplify coding with the Interactive Brokers API. Timestamps 0:00 Overview: What is ib_async? 1:06 Demo of what we'll build 3:04 Support ib_async project, support my channel 4:43 Asynchronous Programming 6:03 Chess Exhibition Analogy 8:20 How does this relate to ib_async 9:03 Historical data fetch - synchronous version 12:28 Fetching for many symbols synchronously (slow) 14:43 Updated structured for multiple symbols 15:57 Making it async - asyncio.run(), async def 18:10 Using await and coroutines / tasks, chess analogy continued 20:02 Updating fetch data for async 20:20 Firing off many coroutines / tasks with asyncio.gather() (faster) 23:32 Wrapping Up and What's Next ---- Disclosures: This content is provided by a paid Influencer of Interactive Brokers. Influencer is not employed by, partnered with, or otherwise affiliated with Interactive Brokers in any additional fashion. This content represents the opinions of Influencer, which are not necessarily shared by Interactive Brokers. The experiences of the Influencer may not be representative of other customers, and nothing within this content is a guarantee of future performance or success. None of the information contained herein constitutes a recommendation, promotion, offer, or solicitation of an offer by Interactive Brokers to buy, sell or hold any security, financial product or instrument or to engage in any specific investment strategy. Investment involves risks. Investors should obtain their own independent financial advice and understand the risks associated with investment products and services before making investment decisions. Risk disclosure statements can be found on the Interactive Brokers website. Interactive Brokers is a FINRA registered broker and SIPC member, as well as a National Futures Association registered Futures Commission Merchant. Interactive Brokers provides execution and clearing services to its customers. For more information regarding Interactive Brokers or any Interactive Brokers products or services referred to in this video, please visit www.interactivebrokers.com. The projections or other information regarding the likelihood of various investment outcomes generated by the Tools mentioned in this video are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. It is important to understand that these projections are based on certain assumptions and models, and actual outcomes may differ significantly. Please note that results may vary over time. Any trading symbols, entities or investment products displayed or named in this podcast are for illustrative purposes only and are not intended to portray recommendations. The examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading.
  • Part Time Larry youtube.com channel data-science video youtube 2025-07-25 14:12
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    In this video we go over some new features of Perplexity Finance - including Perplexity Tasks, Price Alerts, the Earnings Hub, and Coinbase Integration: Writeup / Email List: https://hackingthemarkets.com/new-perplexity-finance-tools/ Timestamps 0:00 Overview, Example Use...

    ▶ Watch on YouTube Opens in a new tab
    In this video we go over some new features of Perplexity Finance - including Perplexity Tasks, Price Alerts, the Earnings Hub, and Coinbase Integration: Writeup / Email List: https://hackingthemarkets.com/new-perplexity-finance-tools/ Timestamps 0:00 Overview, Example Use Cases 2:06 New Perplexity Finance Features 3:13 Earnings Hub, Live Transcripts, AI Summaries 5:39 Perplexity Tasks for Automation 6:31 Configuring a Task: Cloudflare AI Strategy 8:39 Email Filtering and Organization 9:19 Example report: AMD MI400 Chips 10:55: Private Startup Trends, AI Coding Agents 12:55 Public Market Prompts, DIY Investor 13:32 Congressional Trade Tracker 14:22 Social Arb, Consumer Trends, Dumb Money 15:01 Institutional Investors, 13F Filings 15:27 Insider Activity, Unusual Transactions 15:33 Upcoming IPO Tracker 15:48 Weekly Portfolio Analysis 16:13 Stock Price Alerts 18:24 Wishlist: Webhooks, Structured Output 19:35 Wishlist: Memory of Previous Runs 20:25 Coinbase Integration, Crypto Prices 21:49 That's it for now
  • Part Time Larry youtube.com channel data-science video youtube 2025-07-18 14:37
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    Email List Writeup with Code - https://hackingthemarkets.com/backtesting-py-tutorial/ Timestamps 0:00 Review / Recap of Part 1 2:25 Getting the code / mailing list 3:31 Calculating the Opening Range 10:53 Verifying Correctness 11:47 Entries, Position Sizing, and Order...

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    Email List Writeup with Code - https://hackingthemarkets.com/backtesting-py-tutorial/ Timestamps 0:00 Review / Recap of Part 1 2:25 Getting the code / mailing list 3:31 Calculating the Opening Range 10:53 Verifying Correctness 11:47 Entries, Position Sizing, and Order Placement 13:39 Fixed Sized Order Placement in Backtesting.py, Lookahead Bias 15:36 First Run Stats / Performance 16:59 Dynamic Position Sizing, Take Profit Calculation 19:56 Stop Loss Calculation 20:45 End of Day Liquidation, Margin, Commission / Fees Parameters 22:55 Early Close Dates / Holidays (Ugly Hack) 23:49 Backtest Results 25:09 Comparing Trade Results to Paper, CSV Output 27:33 Backtesting.py First Impressions, Strengths, Limitations 28:45 "Stocks in Play" Paper? Other Papers I Should Look at?
  • Part Time Larry youtube.com channel data-science video youtube 2025-07-16 14:41
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    Email List Writeup with Code - https://hackingthemarkets.com/backtesting-py-tutorial/

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    Email List Writeup with Code - https://hackingthemarkets.com/backtesting-py-tutorial/
  • Part Time Larry youtube.com channel data-science video youtube 2025-07-13 16:03
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    In this paper, we take a look at the paper "Can Day Trading Be Profitable?", which looks at the performance of the Opening Range Breakout strategy during the period 2016-2023. Paper Discussed: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4416622 Email List Article:...

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    In this paper, we take a look at the paper "Can Day Trading Be Profitable?", which looks at the performance of the Opening Range Breakout strategy during the period 2016-2023. Paper Discussed: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4416622 Email List Article: https://hackingthemarkets.com/backtesting-py-can-day-trading-strategy-by-profitable/ 0:00 Paper overview 2:40 Begin reading through the paper 4:44 Strategy description and rules 8:09 Strategy results from paper 10:07 Python Notebook, Data fetching Code, Logging Trades 15:15 Running the backtest, parameters, results 17:12 Reasons to be skeptical 21:08 Next up: coding this from scratch with Backtesting.py
  • Part Time Larry youtube.com channel data-science video youtube 2025-07-02 16:27
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    In this video, we explore the latest financial tools within Perplexity AI. Written version on email list: https://hackingthemarkets.com/perplexity-finance/ 0:00 Intro 0:40 SEC Search in Perplexity API 2:08 Perplexity Finance, Watchlists, Company Details 3:00 Free Fundamental...

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    In this video, we explore the latest financial tools within Perplexity AI. Written version on email list: https://hackingthemarkets.com/perplexity-finance/ 0:00 Intro 0:40 SEC Search in Perplexity API 2:08 Perplexity Finance, Watchlists, Company Details 3:00 Free Fundamental data 4:11 Free Historical Price data 4:46 Research 5:04 Earnings Transcripts 5:56 Price movement timeline 6:35 Perplexity Spaces, S&P 500 Transcripts Space 8:02 Natural Language Stock Screener 9:27 Profile Builder - Quickly understand a company or person 10:15 How do Perplexity Spaces work? 11:42 Crypto Tools, Coin Explorer 12:35 Deep Research and Report Writing 16:01 Legendary investors use it and love it
  • Part Time Larry youtube.com channel data-science video youtube 2025-06-27 15:46
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    I tried out the Public.com Trading API and recorded my first impression. Here is the code if you want to try it out: https://colab.research.google.com/drive/1fUs7r--qpCEhRLd0wUXt3U8aBX2yygIn?usp=sharing Timestamps 0:00 Public Released an API for Trading 1:02 Getting an API...

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    I tried out the Public.com Trading API and recorded my first impression. Here is the code if you want to try it out: https://colab.research.google.com/drive/1fUs7r--qpCEhRLd0wUXt3U8aBX2yygIn?usp=sharing Timestamps 0:00 Public Released an API for Trading 1:02 Getting an API Key 2:13 Getting a Token 4:08 Authenticating a request to the Account endpoint 6:12 Placing an Order 12:14 Options Endpoints 13:29 Overall impression 14:10 Upcoming Videos - ORB Paper, Backtesting.py
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