Short Trade on CRO 14 Sep 2025 at 13:24:46
Take profit at 0.2386 (0.91 %) and Stop Loss at 0.2418 (0.42 %)
Short Trade on CRO 14 Sep 2025 at 13:24:46
Take profit at 0.2386 (0.91 %) and Stop Loss at 0.2418 (0.42 %)
Position size of 1815.0829 $
Take profit at 0.2386 (0.91 %) and Stop Loss at 0.2418 (0.42 %)
That's a 2.2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.75 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.55 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.86 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : range_low rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : bear_medium 5m_regime : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.456963 15m : -0.171372 1H : -0.05844 |
0 |
Indicators:
115526
-0.000496417
115469
0.456963
115608
-0.00135493
115452
-0.171372
115223
0.00213283
115469
-0.05844
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Sep 2025 13:24:46 |
14 Sep 2025 14:15:00 |
50 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2408 | 0.2418 | 0.2386 | 2.2 | 0.07505 |
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 = 0.2418 - 0.2408 = 0.001
Récompense (distance jusqu'au take profit):
E - TP = 0.2408 - 0.2386 = 0.0022
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0022 / 0.001 = 2.2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1815.0829 | 100 | 7538.9718 | 18.15 |
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 / 0.001 = 8000
Taille de position USD = 8000 x 0.2408 = 1926.4
Donc, tu peux acheter 8000 avec un stoploss a 0.2418
Avec un position size USD de 1926.4$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8000 x 0.001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8000 x 0.0022 = 17.6
Si Take Profit atteint, tu gagneras 17.6$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.91 % | 16.59 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.42 % | 7.54 $ |
| PNL | PNL % |
|---|---|
| 16.58 $ | 0.91 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.2035 % | 49 % | 3 |
Array
(
[2] => Array
(
[take_profit] => 0.2388
[stop_loss] => 0.2418
[rr_ratio] => 2
[closed_at] => 2025-09-14 14:15:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.2383
[stop_loss] => 0.2418
[rr_ratio] => 2.5
[closed_at] => 2025-09-14 14:25:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.2378
[stop_loss] => 0.2418
[rr_ratio] => 3
[closed_at] => 2025-09-14 14:45:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.2373
[stop_loss] => 0.2418
[rr_ratio] => 3.5
[closed_at] => 2025-09-14 16:25:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.2368
[stop_loss] => 0.2418
[rr_ratio] => 4
[closed_at] => 2025-09-14 16:35:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00326
[max_drawdown] => 0.00049000000000002
[rr_ratio] => 6.65
[high] => 0.24129000
[low] => 0.23754000
[mfe_pct] => 1.35
[mae_pct] => 0.2
[mfe_mae_ratio] => 6.65
[candles_analyzed] => 24
[start_at] => 2025-09-14T13:24:46-04:00
[end_at] => 2025-09-14T15:24:46-04:00
)
[long_term] => Array
(
[max_gain] => 0.00503
[max_drawdown] => 0.00576
[rr_ratio] => 0.87
[high] => 0.24656000
[low] => 0.23577000
[mfe_pct] => 2.09
[mae_pct] => 2.39
[mfe_mae_ratio] => 0.87
[candles_analyzed] => 84
[start_at] => 2025-09-14T13:24:46-04:00
[end_at] => 2025-09-14T20:24:46-04:00
)
[breakout] => Array
(
[high_before] => 0.24104000
[high_after] => 0.24129000
[low_before] => 0.23521000
[low_after] => 0.23643000
[is_new_high] =>
[is_new_low] =>
)
)