OptionsHibernate

@STOPRinfo received a letter for my kid in Grade 2 that his busing would be stopped by next academic year. Can you please help to reconsider the decision. Route is North of Wanless. There is a major intersection that kids need to cover to reach the school.

@marketcallsHQ So what's the difference between the previous vectorBt skills and the current one?

Manualy building strategies is long gone. If you are still manually building trading strategies and backtesting it then you VectorBT Skills is something that you should know.

@marketcallsHQ is there an option to use market profile kids of UI for the openalgo or for backtesting?

@kgbgbgk @marketcallsHQ You can just modify the fetch skills to customise for US markets.

@marketcallsHQ Does it support US markets, and data providers?

Backtesting got cooked! You can now backtest everything from simple buy and hold ideas to complex trend following systems, dynamic asset allocation models, and intraday price action strategies, without writing a single line of strategy code. Powered by OpenAlgo + VectorBT, this setup lets you: Build and test strategies using natural language Backtest intraday strategies such as scalping, momentum, opening range, and VWAP Test End of Candle confirmation versus Touch of Level execution logic Create benchmarks and compare multiple allocations Evaluate performance across CAGR, Sharpe, Sortino, drawdowns, and more Rapidly iterate on ideas like equity rotation, trend filters, and portfolio rebalancing All market data is served via OpenAlgo. Just load the skill into your favorite AI coding environment: Cursor Windsurf Antigravity Claude Code OpenCode Codex Then start talking to your backtesting engine and build strategies interactively.

@marketcallsHQ @openalgoHQ Thanks for this, I just tested a weekly rebalancing cross sectional momentum strategy for S&P, Russel 1000 and TSX. And below are the final results.

Today Ended up Building this Cross Sectional Momentum Strategy in VectorBT using VectorBT Skills and Data of Nifty 500 Downloaded to DuckDB in @openalgoHQ and used for Backtesting from there. Pure Agentic Skills no manual coding.

@marketcallsHQ @openalgoHQ What was your universe of stocks? Did you consider all 500 or had restricted this to a certain limit?

@marketcallsHQ @thisisvatsal I have just cloned the OpenAlgo skills and working on modifying it for raptorBT. Let me see how it goes.

@thisisvatsal let me see if we can adopt raptorbt skills as well along with openalgo

Backtest Any Trading Idea Using AI Agentic Skills - No Coding Needed

@marketcallsHQ This is a great, I don't need to refer to any tech site to understand the latest trends..openAlgo handle has become one stop shop for the latest tools and trends. One query, how is this different from asking an LLM to come up with a strategy using a particular library?

@marketcallsHQ Can this be used for trading any market or is this again specific for Indian markets only?

Stop using trading platforms. Start owning one. Build your own Options Trading Platform in 30 days. React FastAPI Postgres Docker Multi-leg execution Payoff Graph Portfolio Greeks Combined stop-loss , Per Leg Stoploss Automated Trade Adjustments IV, Greeks, GEX, POP dashboards Deploy in Cloud No coding background required. AI handles syntax. You design logic. April 2026 🚀 🔗 learn.marketcalls.in/courses/Build-…

@getalphabench Any custom strategy possible?

What you get: - 5 strategy types (single, basket, pairs, options, multi) - 30+ metrics with 0% tolerance accuracy vs VectorBT - 10 technical indicators (SMA, EMA, RSI, MACD, ATR, Supertrend...) - Fixed/ATR/trailing stops built-in - PyO3 bindings = pip install and go Drop-in VectorBT replacement.

I just open sourced RaptorBT 🦅 A Rust backtesting engine that's: → 5,800x faster than VectorBT → 45x smaller disk footprint (450MB → <10MB) → 60x faster cold starts It's the engine powering Quant5's "backtest at the speed of thought" vision. GitHub: github.com/alphabench/rap… 🧵

@ZenomTrader I am interested to know. Would you be able to share the details on how this is implemented on n8n?

If there’s one skill i’d recommend anyone to learn for 2026 Whether they’re in trading or any other industry It’s how to use AI agents. In less than two hours, Claude Code managed to build a full backtesting pipeline for NT8. It can now autonomously compile and edit code, fix errors directly inside the NT8 app, run backtests, and fully validate strategies on its own. I’ll do the same for MT5 today It should be even easier since they have an API. Soon, i’ll try to automate the entire pipeline From strategy development, to validation, to portfolio construction, to prop firm rule adaptation All of it autonomously

@Akshat_World Check the ETF YMET or METE

1) I will keep collecting my rent from Meta by selling a higher call option. 2) My Meta positions went up 10% from my buying price. 3) Using this growth money: now, I bought a Put option at 600. And, paid around 8% for the year as insurance fee. Even if Meta falls down below 600, I don't go in a loss. a. This becomes at least a 10% rent collection game = for 1 year. b. If my call options get hit, cool. I will sell on significant profits. And, then start selling Put options on Meta. Collect even more rents. This is called managing positions. Most people who were writing negative comments, never invested 1$ in Meta. But, did all scenario analysis. Here, I am showing you LIVE how to make money from actual trades. By putting real money on the line.

@Bentrades_ttfm @TradeZella Could you throw some light on your strategy?

My Backtesting recap from 1st Jan - 31st Dec 2025 ✍️ • Pair: $NQ • Total Trades: 228 • Time: 10am 4H candle • Risk-Reward: 2R • Total Win rate: 77.52% • Avg win/loss: 2.11 • Max drawdown: -3.62% • Initial balance: $100,000 • Net P&L: $594,185 (+594.18%) @TradeZella 🦄

@StockOptions888 $SPX

I AM OFFICIALLY RESTARTING THE $1,000 TO $1,000,000 $SPX 2026 CHALLENGE NEXT MONDAY! 💸 I’M GOING TO RESTART AND LET EVERYONE FOLLOW MY EXACT TRADES FOR COMPLETELY FREE IN A PRIVATE X GROUP CHAT! 🦅 LIKE, REPOST, & COMMENT “$SPX” TO BE ADDED! ❤️‍🔥 YOU MUST BE FOLLOWING ME TO JOIN! ☢️

@marketcallsHQ @ICICI_Direct Did they block Breeze API altogether or just they don't want it to be integrated with OpenAlgo?

Last Year Integrated @ICICI_Direct Breeze API with OpenAlgo → got a legal notice. Guess innovation is illegal now 🤷‍♂️ Removed it, because convincing brokers isn’t my full-time job. And honestly , from my experience, ICICIDirect & their team still don’t seem to get what open-source actually is.

@_findingmyedge How to find an edge?

+$1.23m for 2025 1H 2025 = $215k 2H 2025 = $1.02m Another huge year for me, and my second consecutive 7 figure year. While I always had confidence I would become a consistently profitable trader, I never really imagined that I would be able to achieve something like this. Below I’ll provide additional context about my trading journey and how I made my money this year. Some of the following content was included in my end-of-year post last year, but since I deleted that post I thought it was worth repeating here. Like many others, five years ago I saw Nick Fabrio‘s post showing that he’d made $1m of profit from intraday trading. After this, I discovered other Australian traders like Austin Mitchum, James Chen and Bryce Edwards. These traders proved, contrary to conventional wisdom, that it is possible to make a good living from short-term trading. This sparked my own trading journey, which I started by risking $1 per trade for many months. Since then, I’ve developed an edge in a few different setups and I’ve sized up significantly. This year, my turnover was over 50x higher than in my first year (and getting close to $1bn, which would have seemed absolutely crazy to me five years ago). I’m definitely not the best trader out there; there are plenty of Australian traders with much more experience than me, some of whom presumably earn significantly more. However, most successful traders aren’t well known or don’t post their P&L, probably because humility is such an important character trait in becoming successful. The main reason I still post my P&L is to show that it is still possible to make money from short-term trading on the ASX. In a journey plagued with difficulty and self-doubt, I think there is value in knowing that the destination is actually achievable. If you’re going to post P&L (particularly big positive numbers), I think transparency is important. It’s much easier to share wins than losses, which is why you see a lot more of the former. This presents a misleading picture of how easy it is to succeed. I once heard someone describe trading as ‘pulling money out of thin air’. This should be difficult, and it is. Successful traders are the tip of the iceberg. Even if you do achieve success, it’s inevitably a long runway, full of setbacks and emotional turmoil. However, if you love trading and you’re prepared to work hard, then it can be done. Throughout my trading journey I’ve shared both the highs and the lows, from my very first trade. I don’t think there is a more complete record of an ASX trader’s journey out there. In the spirit of transparency, I would like to provide some additional context to my performance this year. Similar to last year, I made a significant amount of profit from swing trades, not intraday trades, often using significant amounts of capital (and bolstered by leverage). In theory, it would have been possible to make $1m purely from intraday trading on the ASX this year. However, it would have taken a truly elite performance. If you want to make bigger money on the ASX, a large part of that probably has to come from swing trades, because liquidity in the Australian market puts a cap on how much you can earn intraday. I note that my swing trades were typically measured in days/weeks, rather than months. Second, I was fortunate to already have some savings built up before I started trading (and a spouse who still earns a good income). It’s this financial security that enabled me to survive the $80k drawdown early in my trading career, which would have crippled the vast majority of developing traders. It also enables me to endure significant drawdowns and overnight risk. Third, the fact that I don’t need the money from trading to pay for living expenses gives me a psychological advantage which is difficult to overstate. It’s a huge part of the reason I was able to advance my sizing and profitability as quickly as I have. I think I still would have achieved success if I started with less capital, but it’s hard to say for sure and it definitely would have slowed down my growth rate. Now for some comments on my trading performance this year: - I finished the year strong with a $437k winning trade in WAF (about $350k after hedging). This was a deep value play right up my alley and I sized it very aggressively. - Overall, I’m not actually that happy with how I traded through the year. Compared to last year, I made about $100k additional net profit. However, I made 68% more trades and had 143% more turnover, so I was a lot less efficient. More importantly, my maximum drawdown was ~$250k, compared to ~$40k last year. I also had four drawdowns of $200k or more. Ultimately, this meant a lot more stress and volatility for relatively little gain. - One of my goals for the year was to minimise big losses, and I completely failed at this. In total, I had 39 losses exceeding $10k for a total net loss of over $1m! Some of this was due to bigger sizing, but many losses were still too big, the biggest coming from DRO over the course of two days (almost $200k in total). There was undeniably a lot of avoidable P&L leakage from losses that were bigger than necessary. - Sizing aggressively has always been one of my strengths. Sometimes, this results in outsized losses, but the flipside is that I also made a number of great winning trades. My biggest winning trades were as follows: o $437k in WAF (swing trade held for about 30 days) o $120k in YAL (swing trade held for about 20 days) o $120k in APX (intraday) o $90k in BOT (intraday) o $76k in RUL (swing trade held for about 10 days). - I made almost 70% of my P&L for the year from these top five trades. 100% of my P&L came from just my top 15 winning trades. Obviously, it isn’t realistic to assume I could just make big winners and nothing else, but it does show that a lot of the smaller trades are kind of meaningless for me. - I strayed into index trading, which worked well initially but I abused it and ended up giving back all of the initial profits and more. This is a good tool to have in the toolbox, but there isn’t much edge there for me so it’s something I need to use sparingly. - I failed to really take advantage of any major trades/themes, like rare earths, precious metals, lithium and DRO short. In the latter three trades/themes I had large positions established but didn’t manage to hold on for any meaningful gain (and in the case of DRO, I got smoked completely). In future, something I want to try is reducing my size and increasing my timeframe to reduce the variance of my P&L and my reliance on perfect timing. Going forward, I’ve reached a point where I don’t need to keep pushing so hard and take so much risk, so I’d like to change how I trade to reduce stress and allow more time for other pursuits (eg golf, exercise, time with kids, projects around the home). I imagine this will mean less intraday trading, lower size and longer timeframes. The trade-off will probably be less P&L, but I’m okay with this. Thanks to everyone who has followed me and provided encouragement or support over the past few years. If you have any questions please post them below or reach out to me privately.

@NoahEpstein_ 2026

if i had zero skills and needed to make $2k/month in 2026, here's exactly what i'd do: step 1: learn n8n at a basic level not master it. just play around. understand what it does. enough to speak about it when someone asks. that's it. step 2: go sell something find a niche. doesn't need to be sexy. doesn't need to be "money twitter" approved. i reached out to my 12 linkedin followers. twelve. found one guy. a crypto lawyer of all people. that's where my entire journey started. sell first. figure it out after. step 3: use the cheat code once you've sold the automation, you need to build it. Synta(.)io takes you from 0 to 95% complete workflow in under an hour. plain english → working automation. no nodes. no debugging for days. no stack overflow rabbit holes. step 4: deliver and show them how cracked you are implement it. walk them through it. make the value visible. they won't just pay you - they'll refer you. even a simple lovable website for the user to interact with the workflow. step 5: do NOT undervalue yourself one client. one week and a bit. $3k-$10k is reasonable for real business automation. only thing i regret when starting out? charging $500 when the work was worth $5,000. the intelligence gap is real. don't leave money on the table because of imposter syndrome. --- want the full breakdown? i wrote a 3-pager explaining each step in detail: - how to find your first client - what to say in outreach - the tool i use to build 10x faster - how to price without feeling weird comment "2026" and i'll send it over. (must be following so i can dm)

@Zephyr_hg Ideas

I spent weeks researching 2025's hottest AI opportunities. Found 50 business ideas that actually make money using current tech. Each idea includes revenue paths, MVP scope, and exact tech stack needed. Perfect for solopreneurs ready to capitalize on the AI boom before everyone else catches on. Skip months of market research and failed experiments. Comment "IDEAS" and I'll DM it to you (must be following)

@ivebotunac Thanks, do you have any video on how to configure or use it?

@ANerikat No

Yesterday, I released my new open source project, PrimoAgent. This is a multi-agent AI system for stock analysis and investment action recommendations. Take a look, the project is completely free and open source. Repo: github.com/ivebotunac/Pri…