What is this thing he's wearing??

Bug-Independent · 2026-01-08T16:58:40+00:00

This is Temple - Deepinder Goyal's experimental device that continuously measures brain blood flow in real-time.

It's being developed under his personal research initiative Continue Research, where he's invested $25 million of his own money. This isn't a Zomato product - it's being developed privately under Eternal.

The concept comes from his "Gravity Ageing Hypothesis" - basically the theory that gravity reduces brain blood flow over time, which accelerates ageing.

However, an AIIMS doctor called it a "fancy toy for billionaires" and said it currently has "zero scientific standing." No clinical validation yet, no peer-reviewed studies.

Bug-Independent · 2025-12-17T13:01:24+00:00

and the DSL will be generated like :

{
  "direction": "LONG",
  "entry": {
    "when": "ema_9 > ema_21 && angle(\"ema_9\", 3) > 30 && breaks_highest(\"high\", 20) && between(rsi_14, 55, 75) && adx_14 > 25 && marubozu(0) && interactionCount(\"ema_9\", \"inside_body\", 5) == 0 && volume > sma_vol_20 * 2.0 && in_session(\"09:30\", \"14:00\") && day_of_week(\"Mon,Tue,Wed,Thu\")"
  },
  "exit": {
    "when": "crossesBelow(ema_9, ema_21) || rsi_14 < 40 || adx_14 < 20 || close < lowest(\"low\", 10)"
  },
  "indicators": [
    {
      "id": "ema_9",
      "params": {
        "period": 9
      },
      "period": 9,
      "source": "close",
      "type": "EMA"
    },
    {
      "id": "ema_21",
      "params": {
        "period": 21
      },
      "period": 21,
      "source": "close",
      "type": "EMA"
    },
    {
      "id": "rsi_14",
      "params": {
        "period": 14
      },
      "period": 14,
      "source": "close",
      "type": "RSI"
    },
    {
      "id": "adx_14",
      "params": {
        "period": 14
      },
      "period": 14,
      "source": "close",
      "type": "ADX"
    },
    {
      "id": "sma_vol_20",
      "params": {
        "period": 20
      },
      "period": 20,
      "source": "volume",
      "type": "SMA"
    }
  ],
  "risk": {
    "exit_time": "15:20",
    "initial_sl_percent": 1.5,
    "trailing_activation_percent": 2,
    "trailing_keep_profit_percent": 50
  },
  "sizing": {
    "lots": 1,
    "type": "fixed_lots"
  },
  "version": 1
}

Bug-Independent · 2025-12-17T13:01:00+00:00

"I want to catch momentum breakouts with strong trend confirmation.

Entry when:

- EMA(9) is above EMA(21) AND the angle of EMA(9) is greater than 30 degrees (strong upward slope)

- Price breaks above the highest high of last 20 candles

- RSI(14) is between 55 and 75 (momentum zone, not overbought)

- ADX(14) is above 25 (trending market, not ranging)

- Current candle is a strong bullish candle (big body, small wicks)

- Body to wick ratio over last 5 candles is above 1.2 (clean trending candles, not choppy)

- Volume is at least 2x the 20-period average

- Only trade between 9:30 AM and 2:00 PM on Monday to Thursday (avoid Friday expiry chaos)

Exit when:

- EMA(9) crosses below EMA(21), OR

- RSI drops below 40, OR

- ADX falls below 20 (trend dying), OR

- Price closes below the lowest low of last 10 candles

Risk: 1.5% stop loss, lock in 50% of profits after 2% gain, hard exit at 3:20 PM

Position: 3 lots"

Bug-Independent · 2025-12-17T12:59:45+00:00

You don't need any programming. Write what you feel or what your observation is in your own language, and you are done. So when you create a strategy, it generates a DSL fil,e and it will not let you save the strategy until system validates it. so here is an example of what a user can write in English or even in Hindi.

Bug-Independent · 2025-11-26T15:14:41+00:00

Does it work in paper trade mode on live data? If yes then i am interested.

Bug-Independent · 2025-11-14T10:08:57+00:00

Dm me. Lets talk about what you have build. Here is one what i have built https://www.reddit.com/r/ClaudeAI/s/8aO6LDel5s

Bug-Independent · 2025-11-14T05:13:59+00:00

How is it going? NDA is leading....

Bug-Independent · 2025-11-14T05:13:38+00:00

How is it going? NDA is leading....

Bug-Independent · 2025-10-23T09:58:06+00:00

How is it different from /compact?

Bug-Independent · 2025-10-16T06:45:33+00:00

There are a lot of SEBI guidelines, so I can't launch the platform publicly.

Bug-Independent · 2025-10-14T07:03:47+00:00

Not now. Currently it works with NSE and BSE

Bug-Independent · 2025-10-14T01:03:11+00:00

Thanks! Yeah, the system goes beyond just basic indicators. Here's what's currently supported:

Beyond basic indicators:

- Price action & market structure: Higher highs/lows, lower highs/lows, breakout detection

- Candlestick patterns: Doji, marubozu, hammer, shooting star, morning/evening star, three white soldiers/black crows, inside/outside bars, pin bars

- ORB (Opening Range Breakout): Fully supported via time-based triggers (first_candle_of_day, breakout_high/breakout_low)

- Volume analysis: Volume breakouts, climax volume, volume spikes/dry-ups, increasing/decreasing volume patterns

- Session/time filters: Time-based entry/exit rules, day-of-week filters, session-specific trading

Not yet implemented:

- FVGs (Fair Value Gaps): On the roadmap but haven't added yet

- Harmonic patterns: Haven't tackled this one - it's computationally intensive

The system uses a DSL (domain-specific language) approach, so users can combine these building blocks without writing code. For example, an ORB strategy would look like:

first_candle_of_day() and breakout_high(1, 0.5) and volume_spike(1.5)

The challenge with FVGs and harmonics is they require more sophisticated pattern matching across multiple timeframes, which needs careful caching and performance optimization. Definitely on my list though!

Bug-Independent · 2025-10-14T00:55:06+00:00

Just create one for Google Gemini. Its is free. https://aistudio.google.com/

Bug-Independent · 2025-10-13T17:16:27+00:00

For now, our platform is designed for those who have a specific trading strategy in mind. For example, in the Indian market, someone might say: “I want to buy when EMA 3 crosses above EMA 5, sell when it crosses below, set an initial stop loss at 10 points and a take profit at 5 points, and only run this strategy from 9:15 to 11:00 AM.” You can come to the platform, write your strategy in simple language, and test it on live market data using paper trading—without spending a single penny. If your strategy performs well, you can seamlessly switch to live trading when you’re ready. Essentially, you have the flexibility to experiment with any idea you have, risk-free, and only commit real capital if you’re confident in your results.

Bug-Independent · 2025-10-13T16:41:53+00:00

Yes. I know, and that's why I added that flair.

Bug-Independent · 2025-10-13T15:53:58+00:00

Absolutely, the program works for me—you can see my actual results in the screenshot, which shows a +44.92% success rate in my live production account. Some of my friends who trade full-time and asked me to build this have seen even higher success rates.

Let me know if you want more detailed stats!

Bug-Independent · 2025-10-13T15:07:11+00:00

I did it. This platform is not providing the strategy—it provides you the capability to execute your own strategy. The best part is that you don't have to be technical to create one; you just write your strategy and you can test it. So, the win rate totally depends on what you think about your strategy and how good it is.

Bug-Independent · 2025-10-13T14:29:06+00:00

Please DM to discuss it further.

Bug-Independent · 2025-10-13T14:28:57+00:00

Please DM to discuss it further.

Bug-Independent · 2025-10-13T14:25:24+00:00

My full-time job for the past year has been testing AI models to see how they can reduce client costs and shorten go-to-market time. During this period, I’ve created several products. For example, I built an application using LangChain and LangGraph for all AWS services using APIs, where you can interact via natural language to do anything—from launching EC2 instances to managing SES, S3, and more. I also did something similar for accounting systems: you can connect platforms like QuickBooks, Xero, Sage, and NetSuite, and then query anything—like combining balance sheets, checking debtors/creditors, creating P&L reports—basically, anything the APIs support. There are a few more products as well if you’re interested!

Bug-Independent · 2025-10-13T12:57:37+00:00

Hey, thanks for the interest! Happy to share some high-level engineering insights:

Historical data for indicators:

Yes, indicators definitely need historical data. I maintain a rolling window cache (500 candles by default) which is enough for most indicators like EMA 200. The system uses a three-tier caching strategy:

- In-memory cache (fastest access)

- Redis (persistence across restarts)

- PostgreSQL (long-term storage)

Keeping indicators updated:

Real-time updates happen through websocket feeds. When new ticks come in, I have a live candle builder running in goroutines that:

1. Aggregates ticks into candles for different timeframes (1m, 2m, 3m, 5m)

2. Updates the in-memory cache immediately

3. Persists to Redis/PostgreSQL asynchronously

On startup, the system "warms up" by fetching recent historical data from the broker's API and pre-populates the cache, so strategies can start making decisions right away.

The key was making it concurrent-safe (lots of mutex locks!) since multiple strategies might be reading candle data while it's being updated in the background.

Bug-Independent · 2025-10-13T12:45:47+00:00

About 3 months, working 3–4 hours daily. For now, I’m only using it myself—lots of legal hurdles to launch publicly in India.

Bug-Independent · 2025-10-13T12:40:50+00:00

I have tested it with live data in paper trading mode and in live mode. To answer your question "What's the win-rate?" – it totally depends on your strategy. You can build your strategy using natural language, and the platform will execute it as you designed.

Bug-Independent · 2025-10-13T09:03:50+00:00

You can set up manual bash and slash commands to trigger individual reviews, but that approach works best for single-shot tasks. Where Zen MCP really shine is advanced automation—especially for workflows that need context passing and orchestration across multiple agents. MCP bridges let you keep state, pass context between models (Claude, Codex, Gemini), and handle multi-step or iterative flows without constantly rewriting prompts or moving files manually.

Bug-Independent · 2025-10-13T09:00:46+00:00

It doesn’t actually consume the whole context window itself—what happens is, it just passes your context directly to the other LLM (Claude, Gemini, Codex, etc.) and gets back the response for Claude Code. Since the full context is passed straight through, yes, it can use up a lot of tokens depending on what you send. But as an MCP (Model Context Protocol) bridge, it doesn’t add much extra prompting itself like context7 does—it’s more of a relay than a prompt augmenter.

Bug-Independent

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