Short Trade on CRV 25 Jun 2025 at 21:30:09
Take profit at 0.5262 (0.85 %) and Stop Loss at 0.5337 (0.57 %)
Short Trade on CRV 25 Jun 2025 at 21:30:09
Take profit at 0.5262 (0.85 %) and Stop Loss at 0.5337 (0.57 %)
Position size of 1411.9164 $
Take profit at 0.5262 (0.85 %) and Stop Loss at 0.5337 (0.57 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 2 | 0.43 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.622432 |
Indicators:
107351
0.0003898
107393
0.622432
107068
0.00303431
107393
104739
0.0253374
107393
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 25 Jun 2025 21:30:09 |
25 Jun 2025 21:35:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.5307 | 0.5337 | 0.5262 | 1.5 | 0.2441 |
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 = 0.5337 - 0.5307 = 0.003
Récompense (distance jusqu'au take profit):
E - TP = 0.5307 - 0.5262 = 0.0044999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0044999999999999 / 0.003 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1411.9164 | 100 | 2660.4794 | 14.12 |
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 / 0.003 = 2666.67
Taille de position USD = 2666.67 x 0.5307 = 1415.2
Donc, tu peux acheter 2666.67 avec un stoploss a 0.5337
Avec un position size USD de 1415.2$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2666.67 x 0.003 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2666.67 x 0.0044999999999999 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.85 % | 11.97 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.57 % | 7.98 $ |
| PNL | PNL % |
|---|---|
| -7.98 $ | -0.57 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.8278 % | 323.33 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.5262
[entry_price] => 0.5307
[stop_loss] => 0.534
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-25 21:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.5262
[entry_price] => 0.5307
[stop_loss] => 0.5343
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-25 21:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.5262
[entry_price] => 0.5307
[stop_loss] => 0.5346
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-25 21:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.5262
[entry_price] => 0.5307
[stop_loss] => 0.5352
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-25 21:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0035999999999999
[max_drawdown] => 0.0123
[rr_ratio] => 0.29
[high] => 0.54300000
[low] => 0.52710000
[mfe_pct] => 0.68
[mae_pct] => 2.32
[mfe_mae_ratio] => 0.29
[candles_analyzed] => 24
[start_at] => 2025-06-25T21:30:09-04:00
[end_at] => 2025-06-25T23:30:09-04:00
)
[long_term] => Array
(
[max_gain] => 0.018
[max_drawdown] => 0.0123
[rr_ratio] => 1.46
[high] => 0.54300000
[low] => 0.51270000
[mfe_pct] => 3.39
[mae_pct] => 2.32
[mfe_mae_ratio] => 1.46
[candles_analyzed] => 72
[start_at] => 2025-06-25T21:30:09-04:00
[end_at] => 2025-06-26T03:30:09-04:00
)
[breakout] => Array
(
[high_before] => 0.53730000
[high_after] => 0.54300000
[low_before] => 0.51720000
[low_after] => 0.51270000
[is_new_high] =>
[is_new_low] => 1
)
)