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I publicly released TradeLogIB.py script on a github.com: https://github.com/stenri/TradeLogIB So I moved all documentation and script itself there. Here I only leave Motivation section from TradeLobIB.py documentation, so occasional visitor may read it and get interested. Motivation: As you may know, OptionNET Explorer lacks proper broker integration: it can only send orders to the broker but after the order is sent, it lives its own life. ONE does not know when and if the order is filled, at what price, how much commissions are paid and so on. It is assumes user manually downloads trades from the broker and uses Import Wizard to import trades, or just enters trades and commissions manually into Trade Log. In case of Interactive Brokers user is only able to export broker activity statements after the session is over. So after you place an order and receive a fill you have to wait till the end of the session for activity statements or save the trade into Trade Log and manually enter commissions (this process is very error-prone). All this makes trading process much less convenient than it should be. And we need a solution to import trades from a broker Trade Log into ONE without much effort. Here it is: TradeLogIB.py.

Trading is a business based on probability. Nothing works all the time. Otherwise it would never work in the first place. There’s no room for ‘never’ or ‘always’ in the financial markets. Otherwise you’re sure to be surprised in the future. It is very important to understand the difference between probability and certainty. Nothing is certain in the trading. But if something happened 80% of the time, there is a good chance it will happened again. For example: if a stock moved after earnings less than the expected move in 8 out of 10 last cycles, there is a 80% chance that it might happen again the next cycle. Again, there is no certainty that it will happen, only probability. But this is the best we can do. If you believe that a stock will be trading in a range in the next few weeks, you would enter a strategy like calendar or iron condor. At the same time, if you believe the stock will move, you will probably do a straddle. Well, TradeMachine removes the "guessing" part. It allows you to discover patterns that stocks are trading in different periods of time. It also allows you to check different parameters, like deltas, time to expiration, profit targets etc. and to optimize the strategy. Again, no guarantees that what worked will continue to work. But doing iron condor on FB after earnings has much better probability to succeed that doing the same trade on GOOG, NFLX or AMZN. Why? Because it worked most of the time. Members continue posting their winning trades based on TradeMachine backtesting. This is real life trading, not some hypothetical results. We already closed FB trade based on TradeMachine backtesting and started implementing TLT strategy based on the same backtesting. This is not some kind of sleazy marketing. It really works.