Pine Script Part 11: Final – Complete Algo Library & Full Code Archive

This final chapter merges everything into a single professional algo library, including:

• Trend modules
• Momentum modules
• Volatility modules
• MTF functions
• Risk management framework
• Portfolio logic
• Full automation JSON
• Python bot integration
• Final strategy templates

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1. AlgoCore Library

//@version=5
library("AlgoCore")

trend(src,len)=>ta.ema(src,len)
momentum(src,len)=>ta.rsi(src,len)
volatility(len)=>ta.atr(len)
noiseFilter(o,c,atr)=>math.abs(c-o)>atr*0.2

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2. Final Strategy Template

//@version=5
strategy("Final Algo System", overlay=true)

fast=ta.ema(close,20)
slow=ta.ema(close,50)

atr=ta.atr(14)
regime=ta.adx(14)>20

signal=ta.crossover(fast,slow) and regime
if signal
    strategy.entry("Long",strategy.long)

strategy.exit("Exit","Long",stop=close-atr*2)

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3. Portfolio Integration

btc=request.security("BINANCE:BTCUSDT","60",ta.ema(close,100))
eth=request.security("BINANCE:ETHUSDT","60",ta.ema(close,100))

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4. Webhook JSON Final

{
  "signal":"FINAL",
  "assets":[
    {"symbol":"BTCUSDT","weight":0.5},
    {"symbol":"ETHUSDT","weight":0.3}
  ]
}

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5. Final Bot Structure

@app.route('/final',methods=['POST'])
def finalWebhook():
    for a in request.json["assets"]:
        send_order(a["symbol"],a["weight"])
    return {"done":True}

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6. Summary of All Chapters

Full list from Part 1 → Part 11.

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7. Final Words

You now possess a complete Pine Script algo development library, from basics to fully automated, portfolio-based, quant-certified systems.