Back or Lay depending on the change in the Weight of Money that can possibly predict a future increase or decrease in prices
Learn how to scalp a selection when it is trading at the top or bottom of its price range
Learn how to place bets on both sides of an active market while the price gap is still wide, and to green up gradually as parts of your bet get matched.
In the first games of the tennis match back on the pre-match favourite if its price has increased significantly; then green up in the second set.
My plan was to play with backing on Over 1.5 goals in a football match with a nil score. With a profit accumulator and a loss recovery, my balance went up and down over these 9 days of testing. Try the triggers yourself in the downloadable setup file.
The trigger backs on the current server at the start of each game in a Tennis match, then trades it out at the end of the game if it has won. In case of a service break, the trigger increases the bet to try and recoup the loss in the next game.
It’s all about prices: how the exchange commission can fundamentally ruin your loss recovery and what you can do about it. A profit accumulator plan based on 12 days of testing.
Counter-intuitively, you need to back on the horses in the Place market if their prices in the Win market have increased over the specified period, to get the best ROI.
Back on Over 0.5 goals in football at three different moments during the first half: get the best odds while the score is still 0 - 0. A loss recovery plan included.
Back on Under x.5 & y.0 goals in a Goal Lines (Asian Over/Under) market, recovering your losses with each next stake as the score keeps growing.
Back on selections with a spike in their matched volume over the specified time.
Back the most probable winner(s) of a UK or Irish horse race towards the end of the race (in-play).
Use triggers to place two rounds of Dutching in the same market, to the specified target profit.
Aim to win 2 bets out of 6 before you restart the sequence.
The rather aggressive staking plan aiming at recouping your losses and earning a fixed target profit per each market.
Back on the chance that the teams will score N more goals following a first half where both teams scored a certain number of goals.
We're showing the way to calculate the total potential profit/loss for multiple bets and selections, and close all positions as soon as a target is reached.
The automation of the Retirement Staking plan which is based on your history of wins and losses, and the average price of previous winners.
This example is the opposite of the "Three triggers for simple Stop-Loss, after laying"
The triggers will maintain a trailing stop-loss function: that is whenever the price drops down and the market is in your favour, the current lay price of the selections that you backed on will be remembered.
Back in Under/Over markets on the selection that is one goal ahead of the current score at a specified number of minutes into the game. Only do this if previous market is settled, i.e. one market at a time.
This trigger will back The Draw at a specified time before the start of the game. At half-time it will green-up if in profit, or distribute the loss.
This is a simple trigger to back the team whose score is zero, after the other team scored the first goal in a soccer game. The idea is to gain a value price on the selection you are backing. This trigger can also be used as the basis for a later green-up.
In footbal handicap markets " +1" with a specified score, back on the favourite with -1 handicap at the 80th minute of the match.
It combines several aspects. It is a trading trigger that concentrates on the favourite. It is based on Welles Wilder's Relative Strength Index (RSI) which he developed for the stock market a long time ago but it can be used in high volume betting markets.
At 30 sec before the start of the race find a runner whose chances for a win grew up by at least 2.0 in the win market. Then back on this runner in the place market.
At 10 mins before the start of the race remember the volume percentage of each runner. Then at 1 min before the off back on one of the first 5 favourites with the maximum increase of the volume %. The increase must make at least 10%.
This is a short case study dedicated to uncompleted back Dutchings.
Place back bets on selected runners to win or lose a fixed amount, but at their lay prices.
This example is an extension of the standard Auto-Dutching tool of MarketFeeder Pro. While this tool solves the majority of tasks related to Dutching, you may want to further tune it up, so a trigger will be a better solution.
Back-Dutch selections, whose price is less than 7.0, provided that there are at least two selections to Dutch.
At a certain time before the start of an event find selections in the specified price range, whose cumulative book percentage fits into the given minimum and maximum, and place back Dutch bets on them to win a fixed profit or alternatively to stay within a fixed liability.
This is an exact opposite of Lay Dutching with loss recoupment. Beware though that when you do back Dutching, your liability can be way higher than the amount you're looking to win.
If you are struggling to find a market where Dutching would be possible, this trigger example is for you!
This is a quite well-known staking plan that helps you manage your bank.
Back on a selection, then double the stake in the next market if the previous bet lost.
Main idea is to place back bets in cycles, for example starting from 5% of bank, ending with 1%, each time adding a fraction of your winnings to the rest of bets left in the cycle.
This is an exact opposite of the Lay accumulator staking plan.
The Fibonacci staking plan
Back on a chosen selection and recover the loss (if any) in several consequent bets.
This staking plan is identical to the Simple staking plan for lay bets. Its only difference is the type of bets.
Back on a selection according to the D'Alembert plan
This is an implementation of the "Percentage Point Staking Plan"
If one of the teams in a game has won in the half time, then back on the other team in "Match Odds".
This is a simple betting example that could be used in a market with three possible outcomes, such as "Match Odds" in Soccer (the most popular application area).
Bet (either back or lay) on the three selections with the highest volume percentages (highest market share).
Here is one of the implementations of football arbitrages whereby you lay in one market and back in another, hoping to secure profit in a number of possible outcomes.
We'll back on any selection in the given price range whose LAY volume is 2 or more times as much as BACK volume.
Simple trigger to lay or back on a specified trap number. Set the trap number in the constant.
Take a race with 6 runners. Put runners No 1, 3 and 5 in one group, and runners 2, 4, 6 - in another group. Note which group has lower aggregate odds, then Dutch-back this group.
Back £2 on the favourite if its odds are between 1.5 and 3.0, in place markets. If the bet lost, increase the next stake by £2 till the bet wins. Then keep decreasing the bet size by £4 till it reaches the original size of £2.
Back the favourite at 20 sec after the off, to a profit of £10, but only if its price is above 2.0 and the second favourite's price is no less than 10 ticks above the favourite's price. If the bet won then stop all betting, otherwise bet to produce £10 + the previous bet size in the next market, on the same conditions.
This is a simple implementation of "each way" betting whereby you place two equal bets on the same runner to win a race and to finish in the first places. This trigger will work in win and place markets for Horse Racing.
An interesting trigger to try, preferably in test mode. The trigger will back the favourite. If the favourite changes it will back the new favourite, and continue to do this until the end.
Back 10% of available funds at best price on the favourite in the place market, if the 3rd favourite in the WIN market has a price greater than the number of runners in the race + 1. I.e. in a 10-horse race, if the 3rd favourite has a price greater than 11.0, 10 being the number of runners + 1, then that would qualify.
At 30 seconds after the event goes in-play determine the favorite, but do not take any action at that moment. Once the determined favorite has reached a value of 1.2, back it at a price of 1.15. If the favorite doesn't reach that value skip the event.
Back and lay on the same horse: lay to a fixed liability on the favourite in the win market if the odds are between 2 and 5.0. Back a fixed amount on the same horse in the place market providing the odds are 1.5 or higher.
After 20 minutes of the market going in-play, back on "Under 2.5 Goals". Green it up 20 minutes later (if possible). If a goal was scored and no greening-up took place, distribute the loss equally.
Remember the favourite's price at the beginning of the race/match/event. If later its price has grown up by no less than 20%, back it. As soon as it hits the starting price of falls below, lay it to green up equally.
This example automates scalping, whereby you back on a selection then green it up or distribute the loss equally, then repeat this cycle. Its implementation is generic, i.e. it covers the general case, but you may add more triggers or conditions to it if it needs customisation.
Try to green up on a selection with whichever type of bet gets matched first (back or lay), regardless of where the market goes. Insure your bets against the wrong market direction.
Place a back bet at SP in the place market on a horse if its price in the place market is greater than X and its price in the win market is less than Y.
Back horses that fall in the first [number] favourites, where [number] is the number of winning places in this race. The runner should have a record of either 2nd or 3rd place in the previous race where it took part. Eventually green up this bet at 5 ticks (or any other offset of your choice).
When a horse racing place market turns In-Play, back on the horse that is the favourite in the win market, provided that at least half of the runners in the win market have a certain minimum price.
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