Short Trade on ONDO
The 01 Jul 2025 at 04:09:35
With 2542.2934 ONDO at 0.7604$ per unit.
Position size of 1933.1599 $
Take profit at 0.7557 (0.62 %) and Stop Loss at 0.7635 (0.41 %)
That's a 1.52 RR TradePrediction 1 | Probability |
---|---|
Strong Trade
|
0.57 |
Prediction 2 | Probability |
---|---|
1 | 0.5 |
Prediction 3 | Probability |
---|---|
n/a |
Indicators:
Position size of 1933.1599 $
Take profit at 0.7557 (0.62 %) and Stop Loss at 0.7635 (0.41 %)
That's a 1.52 RR TradeSimilar Trade Score: 7.04 %
Start at | Closed at | Duration |
---|---|---|
01 Jul 2025 04:09:35 |
01 Jul 2025 04:25:00 |
15 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
0.7604 | 0.7635 | 0.7557 | 1.52 | 0.9979 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.7635 - 0.7604 = 0.0031
Récompense (distance jusqu'au take profit):
E - TP = 0.7604 - 0.7557 = 0.0046999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0046999999999999 / 0.0031 = 1.5161
Amount | Margin | Quantity | Leverage |
---|---|---|---|
1933.1599 | 100 | 2542.2934 | 19.33 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / 0.0031 = 2580.65
Taille de position USD = 2580.65 x 0.7604 = 1962.33
Donc, tu peux acheter 2580.65 avec un stoploss a 0.7635
Avec un position size USD de 1962.33$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2580.65 x 0.0031 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2580.65 x 0.0046999999999999 = 12.13
Si Take Profit atteint, tu gagneras 12.13$
Résumé
TP % Target | TP $ Target |
---|---|
0.62 % | 11.95 $ |
SL % Target | SL $ Target |
---|---|
0.41 % | 7.88 $ |
PNL | PNL % |
---|---|
11.95 $ | 0.62 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
0 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 0.7542
[stop_loss] => 0.7635
[rr_ratio] => 2
[closed_at] => 2025-07-01 04:30:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.75265
[stop_loss] => 0.7635
[rr_ratio] => 2.5
[closed_at] => 2025-07-01 04:35:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.7511
[stop_loss] => 0.7635
[rr_ratio] => 3
[closed_at] => 2025-07-01 04:40:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.74955
[stop_loss] => 0.7635
[rr_ratio] => 3.5
[closed_at] => 2025-07-01 05:30:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.748
[stop_loss] => 0.7635
[rr_ratio] => 4
[closed_at] => 2025-07-01 08:20:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.74645
[stop_loss] => 0.7635
[rr_ratio] => 4.5
[closed_at] => 2025-07-01 08:20:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.7449
[stop_loss] => 0.7635
[rr_ratio] => 5
[closed_at] => 2025-07-01 08:45:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 0.74335
[stop_loss] => 0.7635
[rr_ratio] => 5.5
[closed_at] => 2025-07-01 09:10:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0114
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 0.75980000
[low] => 0.74900000
[mfe_pct] => 1.5
[mae_pct] => -0.08
[mfe_mae_ratio] =>
[candles_analyzed] => 24
[start_at] => 2025-07-01T04:09:35-04:00
[end_at] => 2025-07-01T06:09:35-04:00
)
[long_term] => Array
(
[max_gain] => 0.0179
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 0.75980000
[low] => 0.74250000
[mfe_pct] => 2.35
[mae_pct] => -0.08
[mfe_mae_ratio] =>
[candles_analyzed] => 72
[start_at] => 2025-07-01T04:09:35-04:00
[end_at] => 2025-07-01T10:09:35-04:00
)
[breakout] => Array
(
[high_before] => 0.76300000
[high_after] => 0.75980000
[low_before] => 0.74770000
[low_after] => 0.74250000
[is_new_high] =>
[is_new_low] => 1
)
)