Short Trade on FORM 01 Sep 2025 at 09:22:01
Take profit at 2.9353 (2.71 %) and Stop Loss at 3.0718 (1.81 %)
Short Trade on FORM 01 Sep 2025 at 09:22:01
Take profit at 2.9353 (2.71 %) and Stop Loss at 3.0718 (1.81 %)
Position size of 442.0325 $
Take profit at 2.9353 (2.71 %) and Stop Loss at 3.0718 (1.81 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.84 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.75 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.59 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.112821 |
0 |
Indicators:
108659
0.00560948
109268
0.112821
108550
0.00661258
109268
109485
-0.00198178
109268
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 09:22:01 |
01 Sep 2025 09:30:00 |
7 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 3.0172 | 3.0718 | 2.9353 | 1.5 | 0.1885 |
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 = 3.0718 - 3.0172 = 0.0546
Récompense (distance jusqu'au take profit):
E - TP = 3.0172 - 2.9353 = 0.0819
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0819 / 0.0546 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 442.0325 | 100 | 146.5042 | 4.42 |
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 / 0.0546 = 146.52
Taille de position USD = 146.52 x 3.0172 = 442.08
Donc, tu peux acheter 146.52 avec un stoploss a 3.0718
Avec un position size USD de 442.08$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 146.52 x 0.0546 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 146.52 x 0.0819 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.71 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.81 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -1.81 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.4095 % | 133.15 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.9353
[entry_price] => 3.0172
[stop_loss] => 3.07726
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 09:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.9353
[entry_price] => 3.0172
[stop_loss] => 3.08272
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 09:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.9353
[entry_price] => 3.0172
[stop_loss] => 3.08818
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 09:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.9353
[entry_price] => 3.0172
[stop_loss] => 3.0991
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 09:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0086999999999997
[max_drawdown] => 0.188
[rr_ratio] => 0.05
[high] => 3.20520000
[low] => 3.00850000
[mfe_pct] => 0.29
[mae_pct] => 6.23
[mfe_mae_ratio] => 0.05
[candles_analyzed] => 24
[start_at] => 2025-09-01T09:22:01-04:00
[end_at] => 2025-09-01T11:22:01-04:00
)
[long_term] => Array
(
[max_gain] => 0.0086999999999997
[max_drawdown] => 0.2057
[rr_ratio] => 0.04
[high] => 3.22290000
[low] => 3.00850000
[mfe_pct] => 0.29
[mae_pct] => 6.82
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 84
[start_at] => 2025-09-01T09:22:01-04:00
[end_at] => 2025-09-01T16:22:01-04:00
)
[breakout] => Array
(
[high_before] => 3.11400000
[high_after] => 3.20520000
[low_before] => 2.76480000
[low_after] => 3.00850000
[is_new_high] =>
[is_new_low] =>
)
)