Long Trade on 1000CAT 16 Jul 2025 at 22:58:47
Take profit at 0.009742 (2.09 %) and Stop Loss at 0.00941 (1.39 %)
Long Trade on 1000CAT 16 Jul 2025 at 22:58:47
Take profit at 0.009742 (2.09 %) and Stop Loss at 0.00941 (1.39 %)
Position size of 575.2335 $
Take profit at 0.009742 (2.09 %) and Stop Loss at 0.00941 (1.39 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.53 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.38 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.403566 |
Indicators:
118873
-0.00500619
118278
0.403566
118635
-0.00445555
118106
118414
-0.00114634
118278
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 Jul 2025 22:58:47 |
16 Jul 2025 23:10:00 |
11 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.009543 | 0.00941 | 0.009742 | 1.5 | 0.001723 |
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 = 0.00941 - 0.009543 = -0.000133
Récompense (distance jusqu'au take profit):
E - TP = 0.009543 - 0.009742 = -0.000199
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.000199 / -0.000133 = 1.4962
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 575.2335 | 100 | 60278.0598 | 5.75 |
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 / -0.000133 = -60150.38
Taille de position USD = -60150.38 x 0.009543 = -574.02
Donc, tu peux acheter -60150.38 avec un stoploss a 0.00941
Avec un position size USD de -574.02$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -60150.38 x -0.000133 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -60150.38 x -0.000199 = 11.97
Si Take Profit atteint, tu gagneras 11.97$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.09 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.39 % | 8.02 $ |
| PNL | PNL % |
|---|---|
| -8.02 $ | -1.39 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.5194 % | 109.02 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.009742
[entry_price] => 0.009543
[stop_loss] => 0.0093967
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-16 23:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.009742
[entry_price] => 0.009543
[stop_loss] => 0.0093834
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-16 23:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.009742
[entry_price] => 0.009543
[stop_loss] => 0.0093701
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-16 23:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.009742
[entry_price] => 0.009543
[stop_loss] => 0.0093435
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-16 23:25:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 5.8000000000001E-5
[max_drawdown] => 0.000275
[rr_ratio] => 0.21
[high] => 0.00960100
[low] => 0.00926800
[mfe_pct] => 0.61
[mae_pct] => 2.88
[mfe_mae_ratio] => 0.21
[candles_analyzed] => 24
[start_at] => 2025-07-16T22:58:47-04:00
[end_at] => 2025-07-17T00:58:47-04:00
)
[long_term] => Array
(
[max_gain] => 0.000158
[max_drawdown] => 0.000275
[rr_ratio] => 0.57
[high] => 0.00970100
[low] => 0.00926800
[mfe_pct] => 1.66
[mae_pct] => 2.88
[mfe_mae_ratio] => 0.57
[candles_analyzed] => 72
[start_at] => 2025-07-16T22:58:47-04:00
[end_at] => 2025-07-17T04:58:47-04:00
)
[breakout] => Array
(
[high_before] => 0.01016200
[high_after] => 0.00970100
[low_before] => 0.00949500
[low_after] => 0.00926800
[is_new_high] =>
[is_new_low] =>
)
)