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The web3 QuantOS

QuantPilot is your personal quant agent, helping with ideation, research, backtesting, and trading strategy execution - a full stack QuantOS

QuantPilot brings three types of trading strategies to life

// QuantScript v0.2
// Web3-aware technicals + on-chain yield

asset BTC.USD
timeframe 1W
source price = close(exchange="Binance")

let usdcApy = yield.estimate(
  token="USDC",
  chain="Ethereum",
  protocol=["AaveV3","CompoundV3"],
  mode="stable"
)

opt macd_sweep {
  param fast in 6..24
  param slow in 12..52 where slow > fast
  macdLine = ta.macd(price, fast, slow, 9).line
  macdSig  = ta.ema(macdLine, 9)
  enter long when crossup(macdLine, macdSig)
  exit  long when crossdown(macdLine, macdSig)
}

...

Discretionary research

QuantPilot tracks trends/projects and produces periodic reports

Automated strategy

QuantPilot translates a natural language strategy into deterministic QuantScript and executes it on any timeframe

Agentic strategy

QuantPilot monitors the market and, based on user investment strategy description, prompts the user to take action

QuantPilot brings custom trading strategies to life without you having to write a single line of code

Example strategy prompts

please find optimal MACD ema lengths for btc weekly trading. when we are out of the market, determine what stablecoin yield to assume and include it in the strategy. create an indicator based on the found optimal lengths.

when we hit top indicators, prompt me to consider selling. when ETF flows are negative, DCA buy with free assets if possible at 3x leverage. keep me posted about 4-year cycle validity. when indicators signal altseason or sustained ETH dominance increase, stop extra btc buys

keep track of PENGU mindshare. stream me all founder Loukas clips/posts. track how PENGU performs vs other bigger memes. report in dashboard and telegram. PENGU TO A DOLLAAAAA!!!!

Chat & DeepQuant

Besides ongoing trading strategies, QuantOS has a regular chat and DeepQuant modes, which allow users to execute quick trades and research ad-hoc topics