Algorithmic Trading: I Know First Strategy Tutorial

This video provides you with a detailed explanation on how to apply Dr. Roitman trading model. You can find all related articles on our website:

Day Trading Strategy: An In-depth Analysis of Realistic Back-Tests

Daniel Tal is a Quantitative Analyst at I Know First. He is currently a candidate for his bachelor's degree in Computer Science and Business Management at Columbia University.

  • Implementation of IKF strategy in intraday trading environment
  • Quantopian slippage and commissions models used to simulate real-time trading
  • Data and statistical Analysis of the methods used to gain day trading returns

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Quick Win by the Algorithm: AAXN Products Driving Strong Growth in 2018

Quick Win by the Algorithm:

Source: Axon Enterprises

“We’ve just completed a pivotal year where we changed our company name from TASER International to Axon Enterprise (Axon) to better reflect our go-forward mission and made significant investments to drive progress within our four strategic growth areas. We don’t intend to slow down in 2018. This year, we plan to introduce several new products and services and improve upon our existing suite of offerings – which we believe will grow recurring cash flows and increase average revenue per user. We’re also scaling up our offices across the

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Algorithmic Trading: Swing Trading Based on Machine learning

The overall return in the one year period from July 1st, 2014 to June 30th, 2015 yielded and overall return of 83% while the S&P500 rose by 5.2% during the same period. Swing Trading Fund

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Algo Trading: How, When and Why You Should Short Sell

What is “short selling” and how does it work? The concept of short selling is often seen as something immoral or alarming to many traders. Traders often assume that because mutual funds and financial planners go long, it is more correct to do. When you short sell you are actually borrowing a stock at a fee, and selling it on the market. At some point the trader “covers” his sale by repurchasing the stock at the current market price, and returning the shares to the lender. If the price is lower the short seller makes a profit, else he makes a loss. algo trading

New: Algorithmic Options Forecast

Package Name: Options
Forecast Length: 7 Days (8/5/2015 - 8/12/2015)
I Know First Average: 4.59% (Call)
options 7dy 08052015 (1)

Stocks Picks based On Artificial Neural Networks: Up to 56.52% Return in 14 Days

Package Name: Industry Package - Biotech Stocks
Forecast Length: 14 Days (7/20/15 – 8/03/15)
I Know First Average: 4.90%

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Stocks Picks

Trading NYMEX (Crude Oil) Like a Quant: 55% Annual Return

Quant Daniel HaiStrategy for maximizing profits trading a single commodity.

Author: Daniel Hai

While I strongly believe in good portfolio diversification I want to discuss trading a single commodity in this post, NYMEX Crude Oil futures which I Know First tracks as CL1 in the commodities forecast. The strategy is unique in that is uses the long term signal to trigger a decision; however the shortest term signal (3 Days) us used to actually execute it. First of all the results are listed below. For testing I use the QuantConnect Lean Engine which is free and open (highly recommended). As they currently dont support futures I use the United States Oil ETF (USO). results The results are an annual return of 55.5% with a sharpe ratio of 1.76 and an annual standard deviation of 22.3%.

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