Short Trade on CRV 01 Sep 2025 at 19:45:49
Take profit at 0.7374 (0.99 %) and Stop Loss at 0.7497 (0.66 %)
Short Trade on CRV 01 Sep 2025 at 19:45:49
Take profit at 0.7374 (0.99 %) and Stop Loss at 0.7497 (0.66 %)
Position size of 1207.7868 $
Take profit at 0.7374 (0.99 %) and Stop Loss at 0.7497 (0.66 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.55 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.44 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.8 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.74023 |
0 |
Indicators:
108577
0.00436235
109051
0.74023
108643
0.00375171
109051
109198
-0.00135466
109051
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 19:45:49 |
01 Sep 2025 21:40:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.7448 | 0.7497 | 0.7374 | 1.51 | 0.2419 |
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 = 0.7497 - 0.7448 = 0.0049
Récompense (distance jusqu'au take profit):
E - TP = 0.7448 - 0.7374 = 0.0074
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0074 / 0.0049 = 1.5102
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1207.7868 | 100 | 1621.6257 | 12.08 |
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 / 0.0049 = 1632.65
Taille de position USD = 1632.65 x 0.7448 = 1216
Donc, tu peux acheter 1632.65 avec un stoploss a 0.7497
Avec un position size USD de 1216$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1632.65 x 0.0049 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1632.65 x 0.0074 = 12.08
Si Take Profit atteint, tu gagneras 12.08$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.99 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.66 % | 7.95 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -0.66 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7653 % | 116.32 % | 8 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.7374
[entry_price] => 0.7448
[stop_loss] => 0.75019
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 21:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.7374
[entry_price] => 0.7448
[stop_loss] => 0.75068
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 21:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.7374
[entry_price] => 0.7448
[stop_loss] => 0.75117
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 21:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.7374
[entry_price] => 0.7448
[stop_loss] => 0.75215
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 22:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0057
[max_drawdown] => 0.0066999999999999
[rr_ratio] => 0.85
[high] => 0.75150000
[low] => 0.73910000
[mfe_pct] => 0.77
[mae_pct] => 0.9
[mfe_mae_ratio] => 0.85
[candles_analyzed] => 24
[start_at] => 2025-09-01T19:45:49-04:00
[end_at] => 2025-09-01T21:45:49-04:00
)
[long_term] => Array
(
[max_gain] => 0.0057
[max_drawdown] => 0.0241
[rr_ratio] => 0.24
[high] => 0.76890000
[low] => 0.73910000
[mfe_pct] => 0.77
[mae_pct] => 3.24
[mfe_mae_ratio] => 0.24
[candles_analyzed] => 84
[start_at] => 2025-09-01T19:45:49-04:00
[end_at] => 2025-09-02T02:45:49-04:00
)
[breakout] => Array
(
[high_before] => 0.75300000
[high_after] => 0.76440000
[low_before] => 0.71720000
[low_after] => 0.73910000
[is_new_high] =>
[is_new_low] =>
)
)