Long Trade on IMX 13 Jul 2025 at 17:45:20
Take profit at 0.5357 (0.9 %) and Stop Loss at 0.5277 (0.6 %)
Long Trade on IMX 13 Jul 2025 at 17:45:20
Take profit at 0.5357 (0.9 %) and Stop Loss at 0.5277 (0.6 %)
Position size of 1337.1097 $
Take profit at 0.5357 (0.9 %) and Stop Loss at 0.5277 (0.6 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.592656 |
Indicators:
118808
-0.00139637
118642
0.592656
118195
0.00378326
118642
116077
0.0220967
118642
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 13 Jul 2025 17:45:20 |
13 Jul 2025 21:00:00 |
3 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.5309 | 0.5277 | 0.5357 | 1.5 | 0.1719 |
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 = 0.5277 - 0.5309 = -0.0032000000000001
Récompense (distance jusqu'au take profit):
E - TP = 0.5309 - 0.5357 = -0.0047999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0047999999999999 / -0.0032000000000001 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1337.1097 | 100 | 2518.5717 | 13.37 |
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 / -0.0032000000000001 = -2500
Taille de position USD = -2500 x 0.5309 = -1327.25
Donc, tu peux acheter -2500 avec un stoploss a 0.5277
Avec un position size USD de -1327.25$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2500 x -0.0032000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2500 x -0.0047999999999999 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.9 % | 12.09 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.6 % | 8.06 $ |
| PNL | PNL % |
|---|---|
| -8.06 $ | -0.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1113 % | 184.36 % | 19 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.5357
[entry_price] => 0.5309
[stop_loss] => 0.52738
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-13 21:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.5357
[entry_price] => 0.5309
[stop_loss] => 0.52706
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-13 21:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.5357
[entry_price] => 0.5309
[stop_loss] => 0.52674
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-13 21:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.5357
[entry_price] => 0.5309
[stop_loss] => 0.5261
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-13 21:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0042
[max_drawdown] => 0.0029
[rr_ratio] => 1.45
[high] => 0.53510000
[low] => 0.52800000
[mfe_pct] => 0.79
[mae_pct] => 0.55
[mfe_mae_ratio] => 1.45
[candles_analyzed] => 24
[start_at] => 2025-07-13T17:45:20-04:00
[end_at] => 2025-07-13T19:45:20-04:00
)
[long_term] => Array
(
[max_gain] => 0.0189
[max_drawdown] => 0.0059
[rr_ratio] => 3.2
[high] => 0.54980000
[low] => 0.52500000
[mfe_pct] => 3.56
[mae_pct] => 1.11
[mfe_mae_ratio] => 3.2
[candles_analyzed] => 72
[start_at] => 2025-07-13T17:45:20-04:00
[end_at] => 2025-07-13T23:45:20-04:00
)
[breakout] => Array
(
[high_before] => 0.54460000
[high_after] => 0.54980000
[low_before] => 0.52740000
[low_after] => 0.52500000
[is_new_high] => 1
[is_new_low] =>
)
)