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Type a strategy in plain English. The agent writes the code, runs a backtest with a live progress bar, and plots every entry and exit on a TradingView chart. Hyperliquid BTC perps, six months of candles.

QuantPilot

2,350 subscribers

812,284 次观看 • 6 个月前 •via X (Twitter)

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HORIZON V0.3 JUST HANDED RETAIL TRADERS THE EXACT TOOLS THAT USED TO COST A QUANT $400,000 A YEAR Backtest one strategy across BTC, ETH and SOL in a single run. Scale out in pieces with partial exits. Then deploy it live on Hyperliquid, the biggest perp DEX on the planet, running 24/7 with no broker and no KYC. Type an idea in plain English, test it across every asset in seconds, run it live while you sleep.

HORIZON V0.3 JUST HANDED RETAIL TRADERS THE EXACT TOOLS THAT USED TO COST A QUANT $400,000 A YEAR Backtest one strategy across BTC, ETH and SOL in a single run. Scale out in pieces with partial exits. Then deploy it live on Hyperliquid, the biggest perp DEX on the planet, running 24/7 with no broker and no KYC. Type an idea in plain English, test it across every asset in seconds, run it live while you sleep.

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OPUS 5.5 + DOTS + JEV built an armed trading bot in 60 minutes for $6.80 three agents, 1.45M tokens, and the bot had a cap, a stop and a kill switch before its first order rules → data → backtest → armed Dario's Opus 5.5 writes the strategy and the risk rules Dots pulls and cleans four years of candles Jev backtests it, sets the caps and is the only one allowed to send an order six switches flip one after another: strategy spec, data, bot code, backtest, paper trade, caps and kill switch. only the sixth lets it trade Jev holds three limits: a $2,000 daily loss cap, a 4% max position and an armed kill switch the backtest replayed 1,840 trades over four years. 58% green, 31% a year, worst drawdown -22% then fees, spread and slippage eat 45% of that, and 31% on paper becomes 17% in life at 17% a year, $100,000 a month needs $7.06M of capital so the $100k comes from the capital, and the bot only cost $6.80 not one live dollar has traded yet. sixty minutes proved the bot runs, whether it earns is still open 60 minutes, $6.80, three agents, zero live trades ↓

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Sprytix

13,497 次观看 • 1 个月前

Dexari is now live on iOS and Android, no invite needed. Trade spot and perps with up to 40x leverage in a self-custodial app powered by Hyperliquid. Advanced orders, TradingView charts, no KYC, no lockouts, and MoonPay onramps. Download:

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452,967 次观看 • 1 年前

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slash1s

10,959 次观看 • 3 个月前

A solo quant with no desk and no team just finished in the top 0.04% at WorldQuant. He didn't have better ideas than the $650,000 kids in Greenwich. He had a machine that rewrites its own losing strategies while he sleeps. Your last strategy lost money and you deleted it. His read its own autopsy, found where it bled, rewrote its own code and passed the retest. Nobody touched a keyboard. That was supposed to be a 2028 problem. A hedge fund is six steps on repeat, and five of them cost you nothing as of this year. A junior quant runs the same loop once a month at about $87,500 an idea, and most of what he builds is dead by week six. You type the idea in plain English. An agent writes the rules, backtests 5 years in about 12 seconds, applies Deflated Sharpe so luck across 4,000 combinations can't pass itself off as an edge, and puts it live on Alpaca or Hyperliquid in about 90 seconds. Comes back red? It shows you where it bleeds, rebuilds it and tests again. Try this in two clicks, no code, free in trial period: The sixth step is the one nobody has shipped. Every lesson from a losing trade dies in a log file, so your agent hands you back the idea that already failed in a bear market with a fresh name on it. Whoever closes that gap owns a machine that gets better every week without them. That gets built in months, not years. Bookmark this & read full breakdown about this 6-steps cycle in the article below. When the first closed loop turns up with real money behind it, you'll want the map of what they assembled.

A solo quant with no desk and no team just finished in the top 0.04% at WorldQuant. He didn't have better ideas than the $650,000 kids in Greenwich. He had a machine that rewrites its own losing strategies while he sleeps. Your last strategy lost money and you deleted it. His read its own autopsy, found where it bled, rewrote its own code and passed the retest. Nobody touched a keyboard. That was supposed to be a 2028 problem. A hedge fund is six steps on repeat, and five of them cost you nothing as of this year. A junior quant runs the same loop once a month at about $87,500 an idea, and most of what he builds is dead by week six. You type the idea in plain English. An agent writes the rules, backtests 5 years in about 12 seconds, applies Deflated Sharpe so luck across 4,000 combinations can't pass itself off as an edge, and puts it live on Alpaca or Hyperliquid in about 90 seconds. Comes back red? It shows you where it bleeds, rebuilds it and tests again. Try this in two clicks, no code, free in trial period: The sixth step is the one nobody has shipped. Every lesson from a losing trade dies in a log file, so your agent hands you back the idea that already failed in a bear market with a fresh name on it. Whoever closes that gap owns a machine that gets better every week without them. That gets built in months, not years. Bookmark this & read full breakdown about this 6-steps cycle in the article below. When the first closed loop turns up with real money behind it, you'll want the map of what they assembled.

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LuxAlgo

27,414 次观看 • 1 个月前

Strategy backtesting is live on OpenMarket. Free, for everyone. Most backtesters simulate a market that doesn't exist: no funding, no liquidations, fills at exactly the price you hoped for. Ours simulates the market you actually trade. Trade perps? Declare instrument="perps" and the engine runs real isolated-margin math: it tracks your liquidation price from your leverage and maintenance margin, and if a bar gaps through the level, you're filled at the worse price. Like live. Funding isn't a checkbox. funding="data" settles the recorded funding rates from your venue against your position, so the liquidation line creeps closer while you hold, and your funding bill shows up as a line item in the results. Fees split maker/taker the way your venue routes them, and slippage can walk the recorded order book level by level, so size costs what size costs. And when a stop and a target land in the same candle, we resolve it with finer recorded data, down to 1m. When we can't, we assume the worst and count the guess. Every run reports its own precision: your backtest tells you when it guessed. A strategy is 15 lines of kScript, templates included, and it runs on any market on your chart: your Hyperliquid setup with real funding data, your Binance perp, your spot pairs.

Strategy backtesting is live on OpenMarket. Free, for everyone. Most backtesters simulate a market that doesn't exist: no funding, no liquidations, fills at exactly the price you hoped for. Ours simulates the market you actually trade. Trade perps? Declare instrument="perps" and the engine runs real isolated-margin math: it tracks your liquidation price from your leverage and maintenance margin, and if a bar gaps through the level, you're filled at the worse price. Like live. Funding isn't a checkbox. funding="data" settles the recorded funding rates from your venue against your position, so the liquidation line creeps closer while you hold, and your funding bill shows up as a line item in the results. Fees split maker/taker the way your venue routes them, and slippage can walk the recorded order book level by level, so size costs what size costs. And when a stop and a target land in the same candle, we resolve it with finer recorded data, down to 1m. When we can't, we assume the worst and count the guess. Every run reports its own precision: your backtest tells you when it guessed. A strategy is 15 lines of kScript, templates included, and it runs on any market on your chart: your Hyperliquid setup with real funding data, your Binance perp, your spot pairs.

OpenMarket

10,831 次观看 • 3 个月前

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A year ago today, Mariah Carey's 'Type Dangerous' debuted on the Hot 100 with 22K units sold. It became her milestone 50th entry on the chart, and her first solo non-holiday entry in over a decade.

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🚨 Claude can now backtest options strategies using plain English. With Option Omega’s MCP, you can describe a trading strategy, run historical backtests, compare variations, and analyze results without writing code. Here’s what that workflow looks like 🧵

🚨 Claude can now backtest options strategies using plain English. With Option Omega’s MCP, you can describe a trading strategy, run historical backtests, compare variations, and analyze results without writing code. Here’s what that workflow looks like 🧵

Kaizen 黒

21,488 次观看 • 7 天前