Using Big Data, design and build portfolio of event - driven and long -
short trading algorithms to exploit various cycle and seasonal trading opportunities using TradeStation.
Not exact matches
What this says is while the usual market factors surrounding OPEC and inventories may affect sentiment, the other factors are the longs (bulls) went
short (bears, resulting on «length liquidation») and commodity
trading algorithms kicked in as prices fell («self - reinforced stop losses» and «robots smelling blood in the water»).
This is because these
algorithms are able to quickly detect the patterns they've been programmed for and immediately place
trades with
short expiries.
Too be sure, whenever the COT report shows an extreme level in the bullion bank
short position in gold and futures, offset by an extreme long position held by the hedge funds, the criminal banks implement a «COT stop - loss hedge fund long liquidation»
algorithm which sets off the stop - losses set by the hedge funds and causes the now - familiar «waterfall» chart patterns that result from heavy bank manipulation of Comex
trading.
Algorithms pounced instantly on the early information,
trading an estimated $ 28 million in shares in that
short time.
There is certainly no widely accepted theory that says faster
trading technology necessarily increases efficiency, and it is easy to think of
algorithms that can make money (at least in the
short run) but hurt most other investors, as well as the informational value of the market.
This is because these
algorithms are able to quickly detect the patterns they've been programmed for and immediately place
trades with
short expiries.
Our Equity Curve and Money Management
Algorithms provide a quick
short cut to have a real time approach to backtesting and automating «A
Trading System for your
Trading System».