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Algo Trade Camp – Algo Trading Bootcamp 2024

Original price was: ₹ 208,188.00.Current price is: ₹ 4,132.00.

Product Delivery : Instant Delivery. After Payment, You will get the Download link immediately on Email  !

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Join us on Telegram: https://t.me/thepremiumcourse

Description

Remove your emotions, automate your trading.

Get access to the Algo Trade Bootcamp that takes the complications out of trading.

Once you join the Bootcamp, you will instantly learn the most INNOVATIVE indicators & ideas that will help you MASTER ALGO TRADING! You also get instant access to all the codes.

A CLOSER LOOK INSIDE IN THE BOOTCAMP

Day 1: Intro to algorithmic trading & how to code in python for automated trading (3 hrs)

Day 2: Algo trading setup, packages, code & resource walkthrough + code (49 mins)

Day 3: Managing risk in automated trading so you never blow up (11 mins)

Day 4: Coding algorithmic orders. Entering and exiting with an automated bot + code (23 mins)

Day 5: Coding automated risk management systems to keep your bots safe + code (29 mins)

Day 6: ​​Coding the SMA Indicator to use in automated trading + code (7 mins)

Day 7: Coding the RSI indicator to use in bots + code (6 mins)

Day 8: ​Coding the VWAP Indicator for bots + code (8 mins)

​​Day 9: Coding the VWMA indicator for automated trading + code (6 mins)

​Day 10: Bot 1: Coding a SMA + Orderbook Trading Bot w/ video Tutorial + code (11 mins)

​​Day 11: Bot 2: Coding a Breakout trading bot + going through all the code (5 mins)

​​Day 12: ​Bot 3: The Engulfing trading bot + code walkthrough (7 mins)

​​Day 13: ​Backtesting to see if a strategy worked in the past before deploying + RBI System (2.9 hrs)

​​Day 14: ​Machine Learning in Trading (10 mins)

​​Day 15: ​How to scale & find unlimited winning strategies (29 mins)

DYDX Goblin Bot Event: DYDX “Goblin” trading algorithm code + video training walkthrough to get you all set up with algo trading on DYDX (63 mins)

Funding Rate Algo Event: Funding Rate trading algorithm backtest code & results. A unique funding rate strategy explained (19 mins)

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