NEVER LOSE AGAIN!! TheRumpledOne

Hi Avery,

Great Thread :clap:

When you programmed your multi-time indicator for example:

Monthly Open against current close
Weekly Open against current close
Daily Open against current close
and so on, all the way to the minute.

Did you use the information from all different time zones on one chart?
or
Did you place one single timezone chart information into an array and calculated each of the higher open timezones by going backwards within in the array?

I hope this makes sense.

Just replicating your indicators in Multicharts.

Your help will be much appreciated.


Simon

No. Timezones are not inputs.
 
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RESULTS.
 
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Don't let the rat beat you.

"Unless you experience the unpleasant symptoms of being wrong, your brain will never revise its models. Before your neurons can succeed, they must repeatedly fail. There are no shortcuts for this painstaking process."

Pg 54 - HOW WE DECIDE


"Look, for example, at this elegant little experiment. A rat was put in a T-shaped maze with a few morsels of food placed on either the far right or left side of the enclosure. The placement of the food is randomly determined, but the dice is rigged: over the long run, the food was placed on the left side sixty per cent of the time. How did the rat respond? It quickly realized that the left side was more rewarding. As a result, it always went to the left, which resulted in a sixty percent success rate. The rat didn't strive for perfection. It didn't search for a Unified Theory of the T-shaped maze, or try to decipher the disorder. Instead, it accepted the inherent uncertainty of the reward and learned to settle for the best possible alternative.

The experiment was then repeated with Yale undergraduates. Unlike the rat, their swollen brains stubbornly searched for the elusive pattern that determined the placement of the reward. They made predictions and then tried to learn from their prediction errors. The problem was that there was nothing to predict: the randomness was real. Because the students refused to settle for a 60 percent success rate, they ended up with a 52 percent success rate. Although most of the students were convinced they were making progress towards identifying the underlying algorithm, they were actually being outsmarted by a rat."

Pg 64 - HOW WE DECIDE


"Think about the stock market, which is a classic example of a "random walk," since the past movement of any particular stock cannot be used to predict its future movement. The inherent randomness of the market was first proposed by the economist Eugene Fama, in the early 1960's. Fama looked at decades of stock market data in order to prove that no amount of knowledge or rational analysis could help you figure out what would happen next. All of the esoteric tools used by investors to make sense of the market were pure nonsense. Wall Street was like a slot machine."

Pg 67 - HOW WE DECIDE


TRADING IS SIMPLE:

* Price either goes up or down.
* No one knows what will happen next.
* Keep losses small and let winners run.
* POSITION SIZE = RISK / STOP LOSS
* The reason you entered has no bearing on the outcome of your trade.
* You can control the size of your loss (skill) but you can't control the size of your win (luck).
* You need to know when to pick up your chips and cash them in.


GREEN RAT REVERSAL - LONG ENTRY CRITERIA: 1) RED CANDLE CLOSES 2) GREEN CANDLE CLOSES 3) PRICE TOUCHES HIGH OF PREVIOUS GREEN CANDLE - ENTER LONG. STOP LOSS IS ALWAYS 10 PIPS.


RED RAT REVERSAL - SHORT ENTRY CRITERIA: 1) GREEN CANDLE CLOSES 2) RED CANDLE CLOSES 3) PRICE TOUCHES LOW OF PREVIOUS RED CANDLE - ENTER SHORT. STOP LOSS IS ALWAYS 10 PIPS.


Price within 20 pips of the daily low (ClLo < 20) or daily high (HiCl < 20 ) - that is OPPORTUNITY
 
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