Short Trade on TREE 01 Sep 2025 at 20:01:34
Take profit at 0.3064 (0.97 %) and Stop Loss at 0.3114 (0.65 %)
Short Trade on TREE 01 Sep 2025 at 20:01:34
Take profit at 0.3064 (0.97 %) and Stop Loss at 0.3114 (0.65 %)
Position size of 1227.9521 $
Take profit at 0.3064 (0.97 %) and Stop Loss at 0.3114 (0.65 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.85 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.8 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.85 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.485523 |
0 |
Indicators:
108607
0.0056507
109221
0.485523
108617
0.00556188
109221
109217
3.31303E-5
109221
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 20:01:34 |
01 Sep 2025 20:05:00 |
3 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3094 | 0.3114 | 0.3064 | 1.5 | 0.0723 |
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 = 0.3114 - 0.3094 = 0.002
Récompense (distance jusqu'au take profit):
E - TP = 0.3094 - 0.3064 = 0.003
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.003 / 0.002 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1227.9521 | 100 | 3968.8174 | 12.28 |
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 / 0.002 = 4000
Taille de position USD = 4000 x 0.3094 = 1237.6
Donc, tu peux acheter 4000 avec un stoploss a 0.3114
Avec un position size USD de 1237.6$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 4000 x 0.002 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 4000 x 0.003 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.97 % | 11.91 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.65 % | 7.94 $ |
| PNL | PNL % |
|---|---|
| -7.94 $ | -0.65 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.8423 % | 285.01 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.3064
[entry_price] => 0.3094
[stop_loss] => 0.3116
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 20:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.3064
[entry_price] => 0.3094
[stop_loss] => 0.3118
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 20:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.3064
[entry_price] => 0.3094
[stop_loss] => 0.312
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 20:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.3064
[entry_price] => 0.3094
[stop_loss] => 0.3124
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 20:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00080000000000002
[max_drawdown] => 0.0096
[rr_ratio] => 0.08
[high] => 0.31900000
[low] => 0.30860000
[mfe_pct] => 0.26
[mae_pct] => 3.1
[mfe_mae_ratio] => 0.08
[candles_analyzed] => 24
[start_at] => 2025-09-01T20:01:34-04:00
[end_at] => 2025-09-01T22:01:34-04:00
)
[long_term] => Array
(
[max_gain] => 0.00080000000000002
[max_drawdown] => 0.0119
[rr_ratio] => 0.07
[high] => 0.32130000
[low] => 0.30860000
[mfe_pct] => 0.26
[mae_pct] => 3.85
[mfe_mae_ratio] => 0.07
[candles_analyzed] => 84
[start_at] => 2025-09-01T20:01:34-04:00
[end_at] => 2025-09-02T03:01:34-04:00
)
[breakout] => Array
(
[high_before] => 0.31410000
[high_after] => 0.32130000
[low_before] => 0.29850000
[low_after] => 0.30860000
[is_new_high] =>
[is_new_low] =>
)
)