Short Trade on ONDO 08 Jul 2025 at 01:43:48
Take profit at 0.7762 (0.33 %) and Stop Loss at 0.7805 (0.22 %)
Short Trade on ONDO 08 Jul 2025 at 01:43:48
Take profit at 0.7762 (0.33 %) and Stop Loss at 0.7805 (0.22 %)
Position size of 3609.458 $
Take profit at 0.7762 (0.33 %) and Stop Loss at 0.7805 (0.22 %)
That's a 1.53 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.61 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.37 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.821512 |
Indicators:
107907
0.00130084
108047
0.821512
108242
-0.00214436
108010
108420
-0.00344291
108047
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 08 Jul 2025 01:43:48 |
08 Jul 2025 02:00:00 |
16 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.7788 | 0.7805 | 0.7762 | 1.53 | 0.2586 |
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 = 0.7805 - 0.7788 = 0.0016999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.7788 - 0.7762 = 0.0026
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0026 / 0.0016999999999999 = 1.5294
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 3609.458 | 100 | 4634.6405 | 36.09 |
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 / 0.0016999999999999 = 4705.88
Taille de position USD = 4705.88 x 0.7788 = 3664.94
Donc, tu peux acheter 4705.88 avec un stoploss a 0.7805
Avec un position size USD de 3664.94$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 4705.88 x 0.0016999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 4705.88 x 0.0026 = 12.24
Si Take Profit atteint, tu gagneras 12.24$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.33 % | 12.05 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.22 % | 7.88 $ |
| PNL | PNL % |
|---|---|
| -7.88 $ | -0.22 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.244 % | 111.77 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.7762
[entry_price] => 0.7788
[stop_loss] => 0.78067
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-08 02:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.7762
[entry_price] => 0.7788
[stop_loss] => 0.78084
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-08 02:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.7762
[entry_price] => 0.7788
[stop_loss] => 0.78101
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-08 02:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.7762
[entry_price] => 0.7788
[stop_loss] => 0.78135
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-08 02:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0023000000000001
[max_drawdown] => 0.0026999999999999
[rr_ratio] => 0.85
[high] => 0.78150000
[low] => 0.77650000
[mfe_pct] => 0.3
[mae_pct] => 0.35
[mfe_mae_ratio] => 0.85
[candles_analyzed] => 24
[start_at] => 2025-07-08T01:43:48-04:00
[end_at] => 2025-07-08T03:43:48-04:00
)
[long_term] => Array
(
[max_gain] => 0.0023000000000001
[max_drawdown] => 0.0126
[rr_ratio] => 0.18
[high] => 0.79140000
[low] => 0.77650000
[mfe_pct] => 0.3
[mae_pct] => 1.62
[mfe_mae_ratio] => 0.18
[candles_analyzed] => 72
[start_at] => 2025-07-08T01:43:48-04:00
[end_at] => 2025-07-08T07:43:48-04:00
)
[breakout] => Array
(
[high_before] => 0.77930000
[high_after] => 0.79140000
[low_before] => 0.76940000
[low_after] => 0.77650000
[is_new_high] =>
[is_new_low] =>
)
)