Long Trade on MOVE 22 Jul 2025 at 20:41:02
Take profit at 0.1858 (0.87 %) and Stop Loss at 0.1831 (0.6 %)
Long Trade on MOVE 22 Jul 2025 at 20:41:02
Take profit at 0.1858 (0.87 %) and Stop Loss at 0.1831 (0.6 %)
Position size of 1385.5576 $
Take profit at 0.1858 (0.87 %) and Stop Loss at 0.1831 (0.6 %)
That's a 1.45 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.5 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.47 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.61084 |
Indicators:
119625
0.00275043
119954
0.61084
118804
0.00807769
119764
118226
0.0146234
119954
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Jul 2025 20:41:02 |
22 Jul 2025 21:00:00 |
18 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1842 | 0.1831 | 0.1858 | 1.45 | 0.02159 |
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 = 0.1831 - 0.1842 = -0.0011
Récompense (distance jusqu'au take profit):
E - TP = 0.1842 - 0.1858 = -0.0016
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0016 / -0.0011 = 1.4545
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1385.5576 | 100 | 7522.0282 | 13.86 |
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 / -0.0011 = -7272.73
Taille de position USD = -7272.73 x 0.1842 = -1339.64
Donc, tu peux acheter -7272.73 avec un stoploss a 0.1831
Avec un position size USD de -1339.64$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -7272.73 x -0.0011 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -7272.73 x -0.0016 = 11.64
Si Take Profit atteint, tu gagneras 11.64$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.87 % | 12.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.6 % | 8.27 $ |
| PNL | PNL % |
|---|---|
| -8.27 $ | -0.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8143 % | 136.35 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1858
[entry_price] => 0.1842
[stop_loss] => 0.18299
[rr_ratio] => 1.32
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-22 21:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1858
[entry_price] => 0.1842
[stop_loss] => 0.18288
[rr_ratio] => 1.21
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-22 21:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1858
[entry_price] => 0.1842
[stop_loss] => 0.18277
[rr_ratio] => 1.12
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-22 21:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1858
[entry_price] => 0.1842
[stop_loss] => 0.18255
[rr_ratio] => 0.97
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-22 22:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0005
[max_drawdown] => 0.0017
[rr_ratio] => 0.29
[high] => 0.18470000
[low] => 0.18250000
[mfe_pct] => 0.27
[mae_pct] => 0.92
[mfe_mae_ratio] => 0.29
[candles_analyzed] => 24
[start_at] => 2025-07-22T20:41:02-04:00
[end_at] => 2025-07-22T22:41:02-04:00
)
[long_term] => Array
(
[max_gain] => 0.0023
[max_drawdown] => 0.0021
[rr_ratio] => 1.1
[high] => 0.18650000
[low] => 0.18210000
[mfe_pct] => 1.25
[mae_pct] => 1.14
[mfe_mae_ratio] => 1.1
[candles_analyzed] => 72
[start_at] => 2025-07-22T20:41:02-04:00
[end_at] => 2025-07-23T02:41:02-04:00
)
[breakout] => Array
(
[high_before] => 0.18840000
[high_after] => 0.18650000
[low_before] => 0.18370000
[low_after] => 0.18210000
[is_new_high] =>
[is_new_low] =>
)
)